Miracle-dz/UniFAR-FTUs huggingface dataset:
AtPID: Arabidopsis thaliana protein interactome database—an integrative platform for plant systems biology

Arabidopsis thaliana Protein Interactome Database (AtPID) is an object database that integrates data from several bioinformatics prediction methods and manually collected information from the literature. It contains data relevant to protein–protein interaction, protein subcellular location, ortholog maps, domain attributes and gene regulation. The predicted protein interaction data were obtained from ortholog interactome, microarray profiles, GO annotation, and conserved domain and genome contexts. This database holds 28 062 protein–protein interaction pairs with 23 396 pairs generated from prediction methods. Among the rest 4666 pairs, 3866 pairs of them involving 1875 proteins were manually curated from the literature and 800 pairs were from enzyme complexes in KEGG. In addition, subcellular location information of 5562 proteins is available. AtPID was built via an intuitive query interface that provides easy access to the important features of proteins. Through the incorporation of both experimental and computational methods, AtPID is a rich source of information for system-level understanding of gene function and biological processes in A. thaliana. Public access to the AtPID database is available at http://atpid.biosino. org/.
Ultrasound and NICOM in the assessment of fluid responsiveness in patients with mild sepsis in the emergency department: a pilot study

Objective We investigated whether combining the caval index, assessment of the global contractility of the heart and measurement of stroke volume with Noninvasive Cardiac Output Monitoring (NICOM) can aid in fluid management in the emergency department (ED) in patients with sepsis. Setting A prospective observational single-centre pilot study in a tertiary care centre. Primary and secondary outcomes Ultrasound was used to assess the caval index, heart contractility and presence of B-lines in the lungs. Cardiac output and stroke volume were monitored with NICOM. Primary outcome was increase in stroke volume after a fluid bolus of 500 mL, while secondary outcome included signs of fluid overload. Results We included 37 patients with sepsis who received fluid resuscitation of at least 500 mL saline. The population was divided into patients with a high (>36.5%, n=24) and a low caval index (<36.5%, n=13). We observed a significant increase (p=0.022) in stroke volume after 1000 mL fluid in the high caval index group in contrast to the low caval index group but not after 500 mL of fluid. We did not find a significant association between global contractility of the left ventricle and the response on fluid therapy (p=0.086). No patient showed signs of fluid overload. Conclusions Our small pilot study suggests that at least 1000 mL saline is needed to induce a significant response in stroke volume in patients with sepsis and a high caval index. This amount seems to be safe, not leading to the development of fluid overload. Therefore, combining ultrasound and NICOM is feasible and may be valuable tools in the treatment of patients with sepsis in the ED. A larger trial is needed to confirm these results.
Effects of Cu Pollution on the Expansion of an Amphibious Clonal Herb in Aquatic-Terrestrial Ecotones

Physiological integration can enhance the performance of clonal plants in aquatic and terrestrial heterogeneous habitats and associated ecotones. Similar to nutrients, pollutants may be transported among connected ramets via physiological integration. Few studies have examined the expansion of amphibious clonal plants from terrestrial to aquatic environments, particularly when the local water supply is polluted with heavy metals. A greenhouse experiment was conducted using the amphibious plant Alternanthera philoxeroides to determine whether Cu can spread among clonal plants and examine the corresponding effects of this pollution on the expansion of clonal plants in aquatic-terrestrial ecotones. Ramets from the same clonal fragments were rooted in unpolluted soil and polluted water at five different levels. The responses of the ramets in terrestrial and aquatic habitats were quantified via traits associated with growth, morphology and Cu accumulation. The results indicated that ramets in soil and water significantly differed in nearly all of these traits. The expansion of populations from terrestrial to polluted aquatic habitats was facilitated by stem elongation rather than new ramet production. The accumulated Cu in polluted ramets can be horizontally transported to other ramets in soil via connected stolons. In terms of clonal growth patterns, variations in Cu pollution intensity were negatively correlated with variations in the morphological and growth traits of ramets in polluted aquatic habitats and unpolluted soil. We concluded that Cu ions are distributed among the clones and accumulated in different ramet tissues in heterogeneous habitats. Therefore, we suggest that Cu pollution of aquatic-terrestrial ecotones, especially at high levels, can affect the growth and expansion of the whole clones because Cu ions are shared between integrated ramets.
Simulation of dialogue management for learning dialogue strategy using learning automata

Modeling the behavior of the dialogue management in the design of a spoken dialogue system using statistical methodologies is currently a growing research area. This paper presents a work on developing an adaptive learning approach to optimize dialogue strategy. The problem of dialogue management can be formalized as a sequential decision making under uncertainty whose underlying probabilistic structure has a Markov Chain. A variety of data driven algorithms for finding the optimal dialogue strategy is available within Markov Decision Process which is based on reinforcement learning. However the local reward function is typically set as static and there exist a dilemma in engaging the type of exploration versus exploitation. Hence we present an online policy learning algorithm using learning automata for optimizing dialogue strategy which improves the naturalness of human-computer interaction that combines fast and accurate convergence with low computational complexity.
Making Them Dance

In this paper, we provide a method to generate a perceptually appropriate dance motion for an input music sound track. Our solution extracts musical features from input music and searches for a sequence of perceptually correlated motion segments from a dance motion database. We suggest a set of mapping criteria as well as motion features which are necessary to perform the mapping from music to dance motion.
Comparison of quantitative and molecular genetic variation of native vs. invasive populations of purple loosestrife (Lythrum salicaria L., Lythraceae)

Study of adaptive evolutionary changes in populations of invasive species can be advanced through the joint application of quantitative and population genetic methods. Using purple loosestrife as a model system, we investigated the relative roles of natural selection, genetic drift and gene flow in the invasive process by contrasting phenotypical and neutral genetic differentiation among native European and invasive North American populations (QST − FST analysis). Our results indicate that invasive and native populations harbour comparable levels of amplified fragment length polymorphism variation, a pattern consistent with multiple independent introductions from a diverse European gene pool. However, it was observed that the genetic variation reduced during subsequent invasion, perhaps by founder effects and genetic drift. Comparison of genetically based quantitative trait differentiation (QST) with its expectation under neutrality (FST) revealed no evidence of disruptive selection (QST > FST) or stabilizing selection (QST < FST). One exception was found for only one trait (the number of stems) showing significant sign of stabilizing selection across all populations. This suggests that there are difficulties in distinguishing the effects of nonadaptive population processes and natural selection. Multiple introductions of purple loosestrife may have created a genetic mixture from diverse source populations and increased population genetic diversity, but its link to the adaptive differentiation of invasive North American populations needs further research.
The Australian Men's Sheds movement: human resource management in a voluntary organisation

This paper examines the Men's Sheds movement-an Australian innovation that is now spreading internationally. This movement has significance for human resource management, both in providing a useful alternative to paid employment for older workers, and as a research site where the human resources challenges peculiar to voluntary organisations can be observed. The paper is underpinned by social exchange theory. The paper's empirical focus is on the factors that govern the level of participation of members in the Men's Sheds movement. The research employs a case study methodology, with focus groups of 34 members in two Australian men's sheds. Predictably, we found that the decision to participate is driven primarily by altruistic motives and reciprocal relationships. However, professional HRM practices remain important. Our findings lend support for the importance of leadership and human resource practices, such as training and development, occupational health and safety, and human resource planning that are used to facilitate effective participation in the sheds.
Effects of F0 dimensions in perception of Mandarin tones

This study focuses on the perception of two synthesized Mandarin tones: the high level tone (Tone 1) and the high falling tone (Tone 4), which have been reported difficult for Cantonese learners of Mandarin [15]. As the two tones are distinctive in F0 directions and also vary in F0 onsets, it is worth investigating why Cantonese listeners find them perceptually indistinguishable. We aim to find out what F0 cues Cantonese listeners rely on in perceiving these two Mandarin tones by modifying the F0 curves along two dimensions: F0 onset and F0 slope. Results show that Mandarin listeners are able to identify the two pitches based on F0 slope irrespective of F0 onsets, whereas Cantonese listeners seem more sensitive towards the variation of F0 onsets.
Comparative Study of Job Scheduling In Grid Environment Based on BEE ` S Algorithm

Grid computing is a new computing model; it’s performing bulk operations among the connected network. Since it is possible to run multiple applications simultaneously may require multiple resources but often do not have the resources that time scheduling system is essential for allocating resources. Scheduling algorithms must be designed for Maximize utilization of the resources and minimize the execution time. In this Paper, comparing the make span and execution time of the bee’s algorithm such as Artificial Bee Colony Algorithm, GA based ABC and an Efficient Modified Artificial Bee Colony Algorithm. The result shows that An Efficient Modified Artificial Bee Colony Algorithm will give better result compared to other algorithms. KeywordsGrid Computing, Task Scheduling, Artificial Bee Colony Algorithm, GA Base ABC, An Efficient Modified Artificial Bee Colony Algorithm
A Software Framework for PCa-Based Face Recognition

This paper focuses on a software framework to support face recognition, a specific area of image processing. For the processing approach, we use principal component analysis (PCA), a data dimensionality reduction approach. The goal of this study is to understand the entire face recognition process with PCA and to present a software framework supporting multiple variations, which can be used to help users create customized face recognition applications efficiently.
Allocation of Phasor Measurement Unit using A-star method in connected power network

This paper explores an A-star based approach for optimal Phasor Measurement Unit (PMU) placement (OPP) which is beneficial for achieving full observability of the connected power network under usual operating environments. The main aim of the proposed approach is to lessen the number of PMU at the connected power network buses, which in turn reduce the setup cost of the PMU. The proposed approach is tested on conventional IEEE 14-bus, 30-bus, New England 39-bus, 57-bus, Indian Utility 62-bus, and 118-bus system. The results obtained with the proposed approach have been compared with the existing methods. It is observed that the proposed approach is able to achieve the full observability of the connected power network with minimum number of PMU.
Brainwave Classification Based on Wavelet Entropy and Event-Related Desynchronization

For many years brain-computer interfaces research programs have been very popular. The classification algorithm of the EEG signals has attracted much attention. In this paper, an experiment is designed on imaginary left or right hand movements and a new algorithm is proposed to identify different EEG patterns. Butterworth filter has been applied to retrieve the useful signals. Interference noise has been eliminated using a digital filter. The wavelet entropy is treated as one feature in our approach. The adaptive autoregressive model combined with the event-related desynchronization is used in our research to obtain the other feature. Two obtained features reflect time domain and frequency domain features of EEG signal, and will be used by a BP neural network for training. Simulation has been carried out and the results of the simulation show that this approach can restrain noise disturbance and can effectively express mental states. When used in the classification of special events in brain-computer interface, this approach has some advantage. Moreover, it can be used for the online analysis.
Electrical and magnetic readings of mental functions

Ever since Berger's (1929) discovery that brain electrical activity (electroencephalogram (EEG)) can be measured at the human scalp, it has been assumed that in these voltage fluctuations are hidden the mysteries of the workings of the human mind. While classical neurophysiologists questioned the likelihood that such "simple" fluctuations could be the key to the complexities of understanding, talking, reasoning, imagining and supposing, the past 70 years have proven otherwise. A large body of evidence has shown that electrical and magnetic activity (human or otherwise) encode information about brain states and brain processes and, by inference, about mental states and mental processes. The exact mapping from neural structures to sensory, perceptual and cognitive processes and states is not at all transparent, but all neuroimaging techniques are based on the assumption that such mappings exist and are decipherable. In this chapter we examine the nature of the mapping between perception, movement and cognition on the one hand and electrical and magnetic activity at various scalp locations on the other. In this regard, it is important to remember that the brain's currency at a neurophysiological level is electrochemical activity. It is the pattern of electrical activity at the scalp that doctors and scientists alike take to be a sign of how and how well the brain is functioning. As we will document, electrical and magnetic activity can be used within the context of psychological experiments to assess the brain's sensitivity to various
How does parents' visual perception of their child's weight status affect their feeding style?

INTRODUCTION Eating style is one of the prominente factors that determine energy intake. One of the influencing factors that determine parental feeding style is parental perception of the weight status of the child. AIM The aim of this study is to evaluate the relationship between maternal visual perception of their children's weight status and their feeding style. METHOD A cross-sectional survey was completed with only mother's of 380 preschool children with age of 5 to 7 (6.14 years). Visual perception scores were measured with a sketch and maternal feeding style was measured with validated "Parental Feeding Style Questionnaire". RESULTS The parental feeding dimensions "emotional feeding" and "encouragement to eat" subscale scores were low in overweight children according to visual perception classification. "Emotional feeding" and "permissive control" subscale scores were statistically different in children classified as correctly perceived and incorrectly low perceived group due to maternal misperception. CONCLUSION Various feeding styles were related to maternal visual perception. The best approach to preventing obesity and underweight may be to focus on achieving correct parental perception of the weight status of their children, thus improving parental skills and leading them to implement proper feeding styles.
Incremental Discovery of Top-k Correlative Subgraphs

Although data mining is a research area with important contributions, there is relatively limited work on correlation mining from graph databases. In this paper, we formulate the problem of mining the next most correlated graph in a graph database given the top-k correlated graphs, with respect to a query graph q. In order to solve the above problem, we take advantage of the search tree, produced by the top-k graphs. However, the search tree poses significantly difficulties, due to its size. Mainly relied on the TopCor algorithm, we make use of the algorithm's findings and rules, we derive two termination conditions and we devise a new algorithm to address the above problem, iTopCor. Our experimental results demonstrate the efficiency of the algorithm with respect to TopCor, especially when the data set is large or when many sub graph isomorphism tests are involved.
Active Cation Transport and Ouabain Binding in High Potassium and Low Potassium Red Blood Cells of Sheep

Red cells from high K sheep contained 82 mM K/liter cells and had a pump flux of 0.86 mM K/liter cells x hr; similarly, LK cells had 16.5 mM K/liter cells and a pump flux of 0.12 mM K/liter cells x hr. Using [3H]-ouabain, the relation between the number of ouabain molecules bound per cell and the concomitant per cent inhibition of the pump was found to be approximately linear for both HK and LK cells. The number of glycoside molecules necessary for 100 % inhibition of the pump was 42 for HK cells and 7.6 for LK cells, after correction for six nonspecific binding sites for each type of cell. The ratio of ouabain molecules/cell at 100 % inhibition was 5.5, HK to LK, and the ratio of the normal K pump fluxes was 7.2, HK to LK. The similarity of these ratios suggests that an important difference between HK and LK cells, determining the difference in pump fluxes, is the number of pump sites. The turnover times (ions/site x min) are 6000 and 4800 for HK and LK cells, respectively. The results also indicate a high specificity of binding of ouabain to pump sites.
Multipath Transmission with Forward Error Correction Mechanism for Delay-Sensitive Video Communications

The Concurrent Multipath Transmit with Forward Error Correction (CMT-FEC) mechanism uses multiple paths for data transfer and employs Forward Error Correction (FEC) to adapt to changing conditions in the wireless network. The CMT-FEC mechanism cannot be used in delay-sensitive video communications when the FEC block length is longer than the end-to-end delay because this will lead to the video frame not being playable on-time at the receiver end. This paper proposes the Delay-sensitive Multipath FEC (DM-FEC) mechanism using a mathematical analytical model to determine the appropriate transmission rate, FEC block length, and FEC redundancy on each path in a multipath environment. The DM-FEC mechanism does not cause the video frame to be unplayable or impede the timely recovery of video information.
Topic-Specific Trust and Open Rating Systems: An Approach for Ontology Evaluation

To achieve better interoperability among intelligent applications, and to relieve knowledge engineers from the burden of developing ontologies from scratch, it is critical to reuse ontologies. However, there are two main reasons why the reuse of ontologies is rare: (1) current ontology repositories allow only simple keyword-based search facilities, and (2) even when a user finds an ontology, the information about the ontology quality and (re)usability is not available. In this paper, we present an Open Rating System based approach for ontology evaluation. The core Open Rating System model is extended with topic-specific trust to provide more accurate personalized ontology rankings. Our model is partially implemented in Knowledge Zone—a webbased ontology repository where users can submit their ontologies, annotate them with metadata, search for existing ontologies, find out their rankings based on user reviews, post their own reviews, and rate reviews.
On the detection of grey hole and rushing attacks in self-driving vehicular networks

Vehicular ad hoc networks play an important role in the success of a new class of vehicles, i.e. self-driving and semi self-driving vehicles. These networks provide safety and comfort to passengers, drivers and vehicles themselves. These vehicles depend heavily on external communication to predicate the surrounding environment through the exchange of cooperative awareness messages (CAMs) and control data. VANETs are exposed to many types of attacks such as black hole, grey hole and rushing attacks. In this paper, we present an intelligent Intrusion Detection System (IDS) which relies on anomaly detection to protect external communications from grey hole and rushing attacks. Many researchers agree that grey hole attacks in VANETs are a substantial challenge due to them having their distinct types of behaviour: normal and abnormal. These attacks try to prevent transmission between vehicles and roadside units and have a direct and negative impact on the wide acceptance of this new class of vehicles. The proposed IDS is based on features that have been extracted from a trace file generated in a network simulator. In our paper, we used a feed-forward neural network and a support vector machine for the design of the intelligent IDS. The proposed system uses only significant features extracted from the trace file. Our research, concludes that a reduction in the number of features leads to a higher detection rate and a decrease in false alarms.