Miracle-dz/UniFAR-FTUs huggingface dataset:
Estimating regularity in epileptic seizure time-series data. A complexity-measure approach.

In the study of complex systems one maybe faced with experimental data collected on the variables without knowing much about the way in which these variables interact. The parts of such a complex system interact in a norisimple way [l]. Wolfram [2] found that there exists a complex dynamic state which may be even more complex than chaotic motions. Complex systems have been found to have an underlying deterministic model and exhibit chaotic dynamics in some cases, epilepsy in particular [3]. The use of quantitative measures for the analysis of these systems has helped gain better insight into system dynamics. In this article we apply Ziv-Lempel (LZ) complexity and approximate entropy (ApEn) as measures to quantify the regularity in the various epochs of epileptic seizure time-series data.
A risk index for ordinal variables and its statistical properties: A priority of intervention indicator in quality control framework

Measuring risk when data are available only on an ordinal scale is not an easy task. The most common approach of risk modeling is a quantitative approach. In this paper, we propose the Criticality Index: a risk index suitable for studies where data are collected on ordinal scales, defined on the relative frequencies of the considered ordinal variables. Exact and asymptotic distributions of the index estimator are derived, and its statistical properties are studied. Moreover, the confidence intervals using the asymptotic normality are defined. The proposed index may be used as an initial view of the level of risk, for comparisons among environments, to indicate how risk changes over time, and to identify interventions in control systems. An application in quality control framework to data on severity, detection, and the occurrence of product defects of a multinational manufacturer is also presented.
The Pulfrich phenomenon in optic disc drusen

Optic disc drusen are hyaline bodies in the optic nerve head of unknown aetiology,1 which are present in approximately 2% of the population.2 Reduced visual acuity associated with optic disc drusen is rare, although visual field defects are common in cases of visible drusen.3 4 Although the condition is frequently bilateral, asymmetry is usual.5 We report a case of a patient with disabling visual symptoms associated with optic disc drusen. These were found to result from the Pulfrich phenomenon and were resolved by prescribing an appropriate ophthalmic tint. A 20-year-old woman was seen in our optometry clinic and subsequently examined by a consultant ophthalmologist. She was moderately myopic, with good visual acuities (6/5 OU), no history of ocular disease and showed no symptoms …
On the relation between the ISRA and the EM algorithm for positron emission tomography

The image space reconstruction algorithm (ISRA) was proposed as a modification of the expectation maximization (EM) algorithm based on physical considerations for application in volume emission computered tomography. As a consequence of this modification, ISRA searches for least squares solutions instead of maximizing Poisson likelihoods as the EM algorithm. It is shown that both algorithms may be obtained from a common mathematical framework. This fact is used to extend ISRA for penalized likelihood estimates.
Design of IPMSM to reduce cogging torque considering tapping the rotor and shape of barrier

Generally, cogging torque derives from motor using permanent magnet such as interior permanent magnet synchronous motor (IPMSM) and surface permanent magent synchronous motor (SPMSM). The cogging torque works for smoothness in rotation of the rotor, but it is a kind of root cause mechanical vibration and acoustic noise. Consequently, cogging torque must be reduced by all manner of means. There are various methods to reduce the cogging torque, but this paper deals with two ways in the IPMSM. One is tapping the rotor and the other is design of barrier shape. Besides, this paper proposes best design of the IPMSM to reduce cogging torque, and the analysis of cogging torque by using FEM is compared with experimental results to verify.
Tumor‐associated antigens of chemically‐induced murine tumors; the emergence of MuLV and fetal antigens after serial passage in culture

Using radioiodinated Staphylococcus aureus protein A [125I]SPA to measure syngeneic, allogeneic and heterogeneic IgG bound to murine tumor cells, we performed a serological analysis of surface antigens of 8 solid tumors and 2 leukemias of BALB/c mice (3 chemically‐induced colon carcinomas, 3 chemically‐induced sarcomas, 1 murine leukemia virus (MuLV) induced leukemia, 1 irradiation Induced leukemia, 1 spontaneous melanoma and 1 spontaneous sarcoma). We were able to detect and distinguish between at least five separate antigenic specificities on these tumors. Unique tumor‐associated antigens were found on 3 of the tumors, MuLV related antigens on 8 tumors, fetal antigens on 7 tumors and two distinct common antigens on 7 tumors (common antigen 1 (CA‐1) on 5 tumors and common antigen 2 (CA‐2) on 2 tumors). Neither of the common antigens was found to be sarcoma, carcinoma or tissue‐type specific. A number of tumors which did not originally express either MuLV or fetal antigens in primary cultures expressed these antigens after several serial passages in vitro.
Emotion recognition algorithm based on convolution neural network

Emotional recognition is a very challenging nature of the topic in the field of Brain — Computer Interface (BCI). This technology has been applied in many fields, such as The electroencephalogram (EEG) signals. The EEG signals can intuitively express the human emotional state and has attracted attentions of many researchers. Besides, it has a strong correlation during a period. To preserve the correlation, this paper presents an emotion recognition algorithm based on convolution neural network (ERACNN). In this paper, the EEG signals are pretreated, and then the parameters of CNN are selected. Finally, the classification model of emotion recognition is trained. Experimental results show that the results based on ERACNN is more robust than these based on Support Vector Machine (SVM). Besides, ERACNN can improve the classification accuracy of emotion recognition compared with the similar CNN algorithm.
Using co‐occurrence models for placename disambiguation

This paper describes the generation of a model capturing information on how placenames co‐occur together. The advantages of the co‐occurrence model over traditional gazetteers are discussed and the problem of placename disambiguation is presented as a case study. We begin by outlining the problem of ambiguous placenames. We demonstrate how analysis of Wikipedia can be used in the generation of a co‐occurrence model. The accuracy of our model is compared to a handcrafted ground truth; then we evaluate alternative methods of applying this model to the disambiguation of placenames in free text (using the GeoCLEF evaluation forum). We conclude by showing how the inclusion of placenames in both the text and geographic parts of a query provides the maximum mean average precision and outline the benefits of a co‐occurrence model as a data source for the wider field of geographic information retrieval (GIR).
Influence of Protein Size on Surface-Enhanced Raman Scattering (SERS) Spectra in Binary Protein Mixtures

The size-dependent interactions of eight blood proteins with silver nanoparticles (AgNPs) in their binary mixtures were investigated using surface-enhanced Raman scattering (SERS). Principal component analysis (PCA) was performed on the SERS spectra of each binary mixture, and the differentiation ability of the mixtures was tested. It was found that the effect of relative concentration change on the SERS spectra of the binary mixtures of small proteins could be detected using PCA. However, this change was not observed with the binary mixtures of large proteins. This study demonstrated that the relative interactions of the smaller proteins with an average size of 50 nm AgNPs smaller than the large proteins could be monitored, and this information can be used for the detection of proteins in protein mixtures.
Biosignal-Based Spoken Communication: A Survey

Speech is a complex process involving a wide range of biosignals, including but not limited to acoustics. These biosignals—stemming from the articulators, the articulator muscle activities, the neural pathways, and the brain itself—can be used to circumvent limitations of conventional speech processing in particular, and to gain insights into the process of speech production in general. Research on biosignal-based speech processing is a wide and very active field at the intersection of various disciplines, ranging from engineering, computer science, electronics and machine learning to medicine, neuroscience, physiology, and psychology. Consequently, a variety of methods and approaches have been used to investigate the common goal of creating biosignal-based speech processing devices for communication applications in everyday situations and for speech rehabilitation, as well as gaining a deeper understanding of spoken communication. This paper gives an overview of the various modalities, research approaches, and objectives for biosignal-based spoken communication.
Design and uses of Bdellovibrio 16S rRNA-targeted oligonucleotides.

An 18-mer oligonucleotide almost exclusively targeting Bdellovibrio spp. was designed based on available 16S rRNA sequence data. The specificity of this oligonucleotide used as a PCR primer in combination with a Bacteria domain-targeted primer as well as used as a probe in rRNA dot blot hybridizations was experimentally confirmed using a variety of alpha-, beta-, gamma-, delta-Proteobacteria and Gram-positive bacteria. Similarly, combinations of the Bacteria primer with oligonucleotides targeting the 16S rRNA gene of Bdellovibrio bacteriovorus and Bdellovibrio stolpii were shown to be species specific by PCR. Positive amplification products were obtained from an irrigation water sample in which a low level of bdellovibrios was detected by plating as well as from soil detached from potato tubers, using the Bdellovibrio spp. -Bacteria and the B. bacteriovorus-Bacteria primer pairs.
Mediterranean Conference on Information Systems ( MCIS ) 2009 Using The Intranet Environment For Enhancing Organizational Creativity

The use of intranet has become crucial to support managerial practices increasing organizational creativity. However, it can also generate “creaticidal” effects by reproducing practices hampering creative processes. Based on an in-depth case study at Schneider-Electric (France), this article studies the effects of the intranet usage on creativity within the four departments of the company. The intention of management is to encourage the innovation by stimulating the collaborators’ creativity through the intranet use throughout the departments. Although the intranet is impelled with similar intention, the results reveal that its use has reproduced the already existing managerial practices in departments. The study reveals the importance of reconsidering managerial practices so that the use of intranet that emerges in the human interaction, does not contribute to the “creaticidal” practices in organizational context.
Intelligent use and clinical benefits of electronic health records in rheumatoid arthritis

In the past 10 years, electronic health records (EHRs) have had growing impact in clinical care. EHRs efficiently capture and reuse clinical information, which can directly benefit patient care by guiding treatments and providing effective reminders for best practices. The increased adoption has also lead to more complex implementations, including robust, disease-specific tools, such as for rheumatoid arthritis (RA). In addition, the data collected through normal clinical care is also used in secondary research, helping to refine patient treatment for the future. Although few studies have directly demonstrated benefits for direct clinical care of RA, the opposite is true for EHR-based research – RA has been a particularly fertile ground for clinical and genomic research that have leveraged typically advanced informatics methods to accurately define RA populations. We discuss the clinical impact of EHRs in RA treatment and their impact on secondary research, and provide recommendations for improved utility in future EHR installations.
An Efficient Graph Search Algorithm for Backbone Discovery in Wireless Linear Sensor Networks

Wireless sensor networks (WSNs) is an area of research that has been getting a lot of attention lately. This is due to the rapid advancements in the design of wireless devices which have increasingly more processing, storage, memory, and networking capabilities. In addition, the cost of sensors is constantly decreasing making it possible to use large quantities of these sensors in a wide variety of important applications in environmental, military, commercial, health care, and other fields. In order to monitor certain types of infrastructures, many of these applications involve lining up the sensors in a linear form, making a special class of these networks which are defined in this work as Linear Sensor Networks (LSNs). In a previous paper, we introduced the concept of LSNs along with a classification of the different types of LSNs, a sample of their applications and the motivation for designing specialized protocols that take advantage of the linearity of the network to enhance their communication efficiency, reliability, fault tolerance, energy savings, and network lifetime. This paper presents a graph-search-based topology discovery algorithm for LSNs. New definitions for important structure and design parameters are introduced. The proposed protocol allows the nodes to identify some nodes to be included in a backbone, which can be used by the other nodes to send data to the sink at the end of the LSN or LSN segment. This backbone discovery increases the efficiency, and robustness of the network. It also allows for significant improvement in the scalability of the communication process in the LSN which can contain a very large number of nodes (e.g. Hundreds or thousands). In addition, the linearity of the structure and the discovered backbone can enhance the routing reliability by "jumping" over failed nodes by increasing the range. Furthermore, the protocol does not require the nodes to have location detection capabilities such as GPS, which would lead to a more complex design and higher cost of the sensor nodes.
Immunization of rabbits against Hyalomma anatolicum anatolicum using homogenates from unfed immature ticks.

Antigens were prepared from unfed larvae and nymphs of H. a. anatolicum as homogenised antigens (HLAg and HNAg, respectively). Five rabbits each were inoculated, s.c. with 8.56 mg HLAg and 9.34 mg HNAg in 3 divided doses. Following immunisation rabbits developed significant level of protective immunity to infestation with adults of this species. Significant reduction in engorged percentage and weights of engorged females and egg masses were observed in females fed on immunized rabbits, compared to that of female ticks fed on control rabbits. The engorgement period was also increased significantly. However, conversion efficiency indices remained unaffected. Larval antigen immunized rabbits showed significant antibody level from 28-126 days while with HNAg elevated antibody levels were recorded up to 112 days. Further, the rabbits immunized with HLAg had elevated level of antibodies against HLAg, HNAg, and adult antigen in ELISA. But HNAg immunized rabbits had lower levels of antibodies against HLAg and HAAg as compared to values recorded against HNAg. Anti-HLAg and anti-HNAg sera recognised common antigenic bands of 97.4, 85, 66, 47.3, 42 and 31 kDa in homogenates of larvae, nymphs and adults.
Class-based traffic recovery with load balancing in software-defined networks

In the last years, Software-Defined Networking (SDN) has emerged as a flexible paradigm driving innovation in future network architectures. Unfortunately, resilience, a key requirement in IP networks, is not an inherent feature of the SDN architecture. Indeed, the automatic reconfigurability of traffic paths in case of links or nodes failures is no more available. This paper deals with the design and validation of an SDN control application for class-based traffic recovery with load balancing. The features of the OpenFlow protocol have been exploited to timely detect link failures as well as to estimate links utilization. The performance of different strategies for class-based traffic recovery has been evaluated in an emulated environment, based on the widely used Mininet tool, highlighting the effectiveness of the proposed solution in enterprise networks.
University of Washington School of Medicine.

• MEBI faculty hold many leadership roles in the School of Medicine. These include representatives on every curriculum committee, Year 1 Curriculum Committee chair, School of Medicine Director of Evaluation, Teaching Scholars Program codirectors, OSCE program codirector, Medical Information for Decision Making course chair, and Institute for Simulation and Interprofessional Studies codirector.
Resource scheduling in cloud using harmony search

Cloud computing is an emerging technology and is getting popular because of its advantages. Cloud computing is a computing paradigm used to provide software, infrastructure and platform as a service to users via the internet. It's a challenging problem to manage cloud computing resources efficiently. The objective is to allocate resources to user's requests such that user requests are completed in minimum time and resources are used efficiently. To solve the cloud scheduling problem, different algorithms are proposed. Based on Harmony Search, a new metaheuristic scheduling approach is discussed in this paper and its performance is evaluated against the sample data.
Interatomic force constants from first principles: The case of alpha -quartz.

We describe a method for calculating the interatomic force constants in crystalline insulators, from first principles, with explicit inclusion of the long-ranged anisotropic dipole-dipole interaction. Using this technique, the dynamics of α-quartz, a model for tetrahedrally bonded silica, is investigated: we examine the range of interatomic forces, their anisotropy, their longitudinal and transverse character, and the importance of the dipole-dipole contribution. These force constants provide an extensive database for testing semiempirical interatomic potentials used in silica molecular-dynamics simulations.
Localization and nucleotide sequences of genes mediating site-specific recombination of the SLP1 element in Streptomyces lividans

SLP1 is a 17.2-kbp genetic element indigenous to the Streptomyces coelicolor chromosome. During conjugation, SLP1 can undergo excision and subsequent site-specific integration into the chromosomes of recipient cells. We report here the localization, nucleotide sequences, and initial characterization of the genes mediating these recombination events. A region of SLP1 adjacent to the previously identified site of integration, attP, was found to be sufficient to promote site-specific integration of an unrelated Streptomyces plasmid. Nucleotide sequence analysis of a 2.2-kb segment of this region reveals two open reading frames that are adjacent to and transcribed toward the attP site. One of these, the 1,365-bp int gene of SLP1, encodes a predicted 50.6-kDa basic protein having substantial amino acid sequence similarity to a family of site-specific recombinases that includes the Escherichia coli bacteriophage lambda integrase. A linker insertion in the 5' end of the cloned int gene prevents integration, indicating that Int is essential for promoting integration. An open reading frame (orf61) lying immediately 5' to int encodes a predicted 7.1-kDa basic peptide showing limited sequence similarity to the excisionase (xis) genes of other site-specific recombination systems.
Atomic-molecular Bose-Einstein condensates

The study of coupled atomic-molecular Bose-Einstein condensates is currently an active research topic in the field of ultracold quantum gases. Our calculations here are potentially relevant to future Rubidium dimer experiments that could be carried out at either the SUT or ANU nodes of ACQAO. We also aim to model recent experiments on dissociation of 87Rb2 dimers in the group of G. Rempe at the Max Planck Institute for Quantum Optics, Garching, Germany [1]. We have made progress as follows:
Genomic cis-regulatory networks in the early Ciona intestinalis embryo

Precise spatiotemporal gene expression during animal development is achieved through gene regulatory networks, in which sequence-specific transcription factors (TFs) bind to cis-regulatory elements of target genes. Although numerous cis-regulatory elements have been identified in a variety of systems, their global architecture in the gene networks that regulate animal development is not well understood. Here, we determined the structure of the core networks at the cis-regulatory level in early embryos of the chordate Ciona intestinalis by chromatin immunoprecipitation (ChIP) of 11 TFs. The regulatory systems of the 11 TF genes examined were tightly interconnected with one another. By combining analysis of the ChIP data with the results of previous comprehensive analyses of expression profiles and knockdown of regulatory genes, we found that most of the previously determined interactions are direct. We focused on cis-regulatory networks responsible for the Ciona mesodermal tissues by examining how the networks specify these tissues at the level of their cis-regulatory architecture. We also found many interactions that had not been predicted by simple gene knockdown experiments, and we showed that a significant fraction of TF-DNA interactions make major contributions to the regulatory control of target gene expression.
Mouth rinsing and ingesting a bitter solution improves sprint cycling performance.

PURPOSE There is evidence that carbohydrate (CHO) mouth rinsing can improve endurance exercise performance as well as muscle force production and sprint performance. Whether the oral administration of non-CHO tastants also affects exercise performance is not known. The purpose of this study was to investigate whether mouth rinsing and ingesting a bitter-tasting solution of quinine improves maximal sprint cycling performance. METHODS Fourteen competitive male cyclists performed a 30-s maximal cycling sprint immediately after rinsing their mouth for 10 s and then ingesting a 2-mM bitter quinine solution, plain water, a 0.05% (w/v) sweet aspartame solution, or no solution at all (control). Cycling power output was recorded during the sprint. Heart rate, perceived exertion, blood lactate, and blood glucose were measured preexercise, immediately postexercise, and 7 min postexercise. RESULTS Quinine significantly improved mean power output by 2.4%-3.9% compared with the three other conditions [P ≤ 0.021, effect size (ES) = 0.81-0.85]. Peak power output in the quinine condition was higher compared with the water (3.7%, P = 0.013, ES = 0.71) and control (3.5% P = 0.021, ES = 0.84) conditions but was not significantly different from aspartame (1.9%, P = 0.114, ES = 0.47). There were no significant differences in cycling performance between water, aspartame, and control conditions. There were no differences in heart rate, perceived exertion, or blood variables between any of the conditions. CONCLUSION This study shows for the first time that mouth rinsing and ingesting a bitter-tasting solution immediately before a maximal sprint exercise can improve performance.