Miracle-dz/UniFAR-FTUs huggingface dataset:
cswHMM: A Novel Context Switching Hidden Markov Model for Biological Sequence Analysis

In this work we created a sequence model that goes beyond simple linear patterns to model a specific type of higher-order relationship possible in biological sequences. Particularly, we seek models that can account for partially overlaid and interleaved patterns in biological sequences. Our proposed context-switching model (cswHMM) is designed as a variable-order hidden Markov model (HMM) with a specific structure that allows switching control between two or more sub-models.Tests of this approach suggest that a combination of HMMs for protein sequence analysis, such as pattern mining based HMMs or profile HMMs, with the context-switching approach can improve the descriptive ability and performance of the models.
Numerical Solution of the MRLW Equation Using Finite Difference Method

Two finite difference approximations for the space discretization and a multi-time step method for the time discretization are proposed for the modified regularized long wave equations. The efficiency of the proposed two algorithms is examined by evaluating the L1 norm and the three invariants of the motion. The results arising from the experiments are compared with the theoretical solution.
4-Aminoethylamino-emodin – a novel potent inhibitor of GSK-3β– acts as an insulin-sensitizer avoiding downstream effects of activated β-catenin

Glycogen synthase kinase‐3β (GSK‐3β) is a key target and effector of downstream insulin signalling. Using comparative protein kinase assays and molecular docking studies we characterize the emodin‐derivative 4‐[N‐2‐(aminoethyl)‐amino]‐emodin (L4) as a sensitive and potent inhibitor of GSK‐3β with peculiar features. Compound L4 shows a low cytotoxic potential compared to other GSK‐3β inhibitors determined by the 3‐[4,5‐dimethylthiazol‐2‐yl]‐2,5‐diphenyl tetrazolium bromide assay and cellular ATP levels. Physiologically, L4 acts as an insulin‐sensitizing agent that is able to enhance hepatocellular glycogen and fatty acid biosynthesis. These functions are particularly stimulated in the presence of elevated concentrations of glucose and in synergy with the hormone action at moderate but not high insulin levels. In contrast to other low molecular weight GSK‐3β inhibitors (SB216763 and LiCl) or Wnt‐3α‐conditioned medium, however, L4 does not induce reporter and target genes of activated β‐catenin such as TOPflash, Axin2 and glutamine synthetase. Moreover, when present together with SB216763 or LiCl, L4 counteracts expression of TOPflash or induction of glutamine synthetase by these inhibitors. Because L4 slightly activates β‐catenin on its own, these results suggest that a downstream molecular step essential for activation of gene transcription by β‐catenin is also inhibited by L4. It is concluded that L4 represents a potent insulin‐sensitizing agent favouring physiological effects of insulin mediated by GSK‐3β inhibition but avoiding hazardous effects such as activation of β‐catenin‐dependent gene expression which may lead to aberrant induction of cell proliferation and cancer.
Energy-efficient caching and prefetching with data consistency in mobile distributed systems

Summary form only given. In mobile distributed systems, vital resources like battery power and wireless channel bandwidth impose significant challenges in ubiquitous information access. We propose a novel energy and bandwidth efficient data caching mechanism, called greedydual least utility (GD-LU), that enhances dynamic data availability while maintaining consistency. The proposed utility-based caching mechanism considers several characteristics of mobile distributed systems, such as connection-disconnection, mobility handoff, data update and user request patterns to achieve significant energy savings in mobile devices. Based on the utility function derived from an analytical model, we propose a cache replacement algorithm and a passive prefetching algorithm to cache and prefetch data objects. Our comprehensive simulation experiments demonstrate that the proposed mechanism achieves more than 10% energy saving and near-optimal performance tradeoff between access latency and energy consumption.
Molecular Pathology of Lewy Body Diseases

Lewy body diseases are characterized by the presence of Lewy bodies, alpha-synuclein(AS)-positive inclusions in the brain. Since their main component is conformationally modified AS, aggregation of the latter is thought to be a key pathogenic event in these diseases. The analysis of inclusion body constituents gives additional information about pathways also involved in the pathology of synucleinopathies. Widespread mitochondrial dysfunction is very closely related to disease development. The impairment of protein degradation pathways, including both the ubiquitin-proteasome system and the autophagy-lysosome pathway also play an important role during the development of Lewy body diseases. Finally, differential expression changes of isoforms corresponding to genes primarily involved in Lewy body formation point to alternative splicing as another important mechanism in the development of Parkinson’s disease, as well as dementia with Lewy bodies. The present paper attempts to give an overview of recent molecular findings related to the pathogenesis of Lewy body diseases.
Impact of node/fiber/WSS degrees in creating cost effective OXCs

The development of OXCs/ROADMs has so far mainly focused on the number of input/output fibers to/from optical nodes. This presentation will clarify the implications of node/fiber/WSS degree on OXC/ROADM performance. We show how to create very large-scale and cost-effective OXCs/ROADMs by exploiting current technologies.
Communications in Mathematical Physics Liouville Action and Weil-Petersson Metric on Deformation Spaces , Global Kleinian Reciprocity and Holography

We rigorously define the Liouville action functional for the finitely generated, purely loxodromic quasi-Fuchsian group using homology and cohomology double complexes naturally associated with the group action. We prove that classical action – the critical value of the Liouville action functional, considered as a function on the quasiFuchsian deformation space, is an antiderivative of a 1-form given by the difference of Fuchsian and quasi-Fuchsian projective connections. This result can be considered as global quasi-Fuchsian reciprocity which implies McMullen’s quasi-Fuchsian reciprocity. We prove that the classical action is a Kähler potential of the Weil-Petersson metric. We also prove that the Liouville action functional satisfies holography principle, i.e., it is a regularized limit of the hyperbolic volume of a 3-manifold associated with a quasi-Fuchsian group. We generalize these results to a large class of Kleinian groups including finitely generated, purely loxodromic Schottky and quasi-Fuchsian groups, and their free combinations.
Exponential pattern retrieval capacity with non-binary associative memory

We consider the problem of neural association for a network of non-binary neurons. Here, the task is to recall a previously memorized pattern from its noisy version using a network of neurons whose states assume values from a finite number of non-negative integer levels. Prior works in this area consider storing a finite number of purely random patterns, and have shown that the pattern retrieval capacities (maximum number of patterns that can be memorized) scale only linearly with the number of neurons in the network. In our formulation of the problem, we consider storing patterns from a suitably chosen set of patterns, that are obtained by enforcing a set of simple constraints on the coordinates (such as those enforced in graph based codes). Such patterns may be generated from purely random information symbols by simple neural operations. Two simple neural update algorithms are presented, and it is shown that our proposed mechanisms result in a pattern retrieval capacity that is exponential in terms of the network size. Furthermore, using analytical results and simulations, we show that the suggested methods can tolerate a fair amount of errors in the input.
Emotionally Responsive General Artificial Agent Simulation

Emotions are an integral part of human decision making. It follows that emotions should take part in the decision process towards the design of more realistic artificial agents. Three psychological models for emotions are examined and a corresponding algorithm is developed for each depicting its process. A generalized multi-agent model is designed to demonstrate the implementation of each of the three methods. An agent thus represents a human capable of exhibiting emotional state in response to an arbitrary emotionally charged event of varying impact.
Design of high voltage vacuum circuit breaker's on-line monitoring and fault diagnosis system

A continuous real-time data acquisition and communication equipment based on Advanced RISC Machine and Field Programmable Gate Array is designed and developed, on the basis of which an on-line monitoring and fault diagnosis system for high voltage circuit breaker is realized. Mechanical, electrical and environmental parameters of the switching process can be gathered by this system. The function modules such as history data record and query, fault diagnosis, Ethernet communication and human-computer interface are contained as well. Ensemble Empirical Mode Decomposition based feature extraction method, Kernel Fuzzy C-means and Support Vector Machine combined fault diagnosis method are proposed and applied respectively. Performance of the system and precision of the algorithm have been proven in field tests.
Classification of speech under stress and cognitive load in USAR operations

This paper presents the classification of speech under stress and cognitive load in speech recordings of Urban Search and Rescue (USAR) training operations. The type of stress encountered in the USAR domain, more specifically in the human team communication, includes both physical or psychological stress and cognitive load. We were able to annotate and identify these two types of stress in recordings of real USAR training operations. Different acoustic features are extracted at full and subband level, SVM and adaptive GMMs are used as classifiers. Two strategies to improve the classification of speech under stress, in particular physical stress, are proposed. We have achieved a classification accuracy of 74% for three very unbalanced classes (physical stress, cognitive load and neutral), with 82% classification of physical stress.
An impulse-based framework for signal functional representations

Signal transformations such as Fourier, Laplace, and z are used frequently in signal processing to obtain functional representations of signals. Usually those pairs of transform and its inverse are defined independently. This paper introduces a framework for defining functional representations of signals, by defining signals as distributions of impulses. Within this framework, various transformations can be derived from various definitions of impulses. This impulse distribution term is used in an inverse formula, and then rearranged such that kernel term can be identified. This kernel term is then selected for the transform formula. When the newly obtained transform formula is reapplied into the integral superposition, we have a simplified final form of the inverse formula. In this paper we have applied the framework to derive various well known transforms, such as Fourier, Laplace and z. We should be able to rediscover other transforms such as Hilbert, Mellin, and Wavelet using a similar approach. In fact it is our hope that our framework can trigger discoveries of new transform pairs in the future.
Modélisation d'une série financière par mouvement Brownien multi-fractionnaire parcimonieux

Dans ce travail, nous introduisons un modele parcimonieux de processus de type fractal. En premier, nous rappelons le passage du mouvement brownien fractionnaire (fBm) au mouvement brownien multi-fractionnaire (mBm) et proposons de selectionner un modele parcimonieux. En second, nous etayons notre point de vue par des experiences statistiques et l'observation d'un artefact numerique: quand nous estimons l'index de Hurst dependant du temps H(t) pour un mouvement brownien fractionnaire, la fluctuation de l'echantillonnage donne l'impression que H(t) est lui-meme un processus stochastique, meme lorsque H(t) est constant. Nous appliquons cette modelisation a des donnees financieres reelles: la serie des prix journaliers du Nasdaq de 1971 jusqu'a la fin 2009.
Incorporating confidence measures in the Dutch train timetable information system developed in the ARISE project

The use of confidence measures (CMs) in spoken dialog system (SDS) applications to suppress the number of verification turns for 'reliably correctly recognised utterances' can greatly reduce average dialog length which enhances usability and increases user satisfaction. This paper gives a clear review of the method of CM assessment, which was presented by Boves, Herberts and Russel (see Proceedings of the IEEE Third Workshop Interactive Voice Technology for Telecommunications Applications, Granada, Spain, p.89-92, 1996). It proceeds by demonstrating how the Dutch ARISE (Automatic Railways Information Systems in Europe) SDS was equipped with this technology and shows in deep detail how the parameters involved are to be optimised. The evaluation reveals and explains a typical behaviour of this method with train timetable information-alike systems. This results in a set of conclusions that were not foreseen when the method was first developed for a directory information system. The paper ends with an outlook for solutions in new research directions.
Social Structural Influences on Meat Consumption

Meat production is a major hidden cause of many critical environmental problems, indicating that individual dietary habits are a form of environmentally significant consumption (ESC). We build upon the growing literature on ESC by analyzing the effects of social structural factors on the total meat and beef consumption of individuals. Our purpose here is to further our understanding of the factors that contribute to individual consumption patterns of environmentally significant commodities. Gender, race, ethnicity, location of residence (region and urban vs. non-urban), and social class all appear to affect dietary habits even when controlling for physiological variables such as body weight and age. We argue that social structural factors in combination with macro-economic structure and psychological factors provide a rich explanation of the consumption patterns of individuals.
Examining the Relationships between Monaural and Binaural Classroom Acoustics Parameters and Student Achievement

This study investigates the relationships between several classroom acoustics parameters and student achievement. Detailed binaural room impulse response measurements were conducted in four elementary school classrooms in a midwestern public school system in the United States. Unoccupied background noise levels were also recorded in these spaces. Previous studies have compared how different room acoustics metrics predict speech intelligibility, while another investigation examined perception-based binaural metrics in a typical classroom. This study extends these previous research areas by comparing both binaural classroom acoustics metrics and unoccupied background noise levels to each other and to the standardized student achievement scores of students in the surveyed classrooms. The binaural metrics examined include interaural level differences, interaural cross-correlations, and comparisons of the speech transmission index and frequency-to-frequency fluctuations between the two ears. The results will indicate which classroom acoustics parameters, if any, are most strongly related to student achievement.
Intraperitoneal Fat through GRP78: A Risk Factor for Endometrial Cancer

Introduction. The identification of biological markers that indicate an increased risk for the development or recurrence of endometrial cancer (EC) in obese women might be useful for decreasing EC mortality and morbidity. Glucose-regulated protein 78 (GRP78) is a major protein of the endoplasmic reticulum expressed in all normal cells. Overexpression of GRP78 has been reported to be a tumoral biomarker. Increased detection of GRP78 is positively correlated with the tumoral stage and prognosis. This study aimed to identify a correlation between intraperitoneal fat, plasma GRP78 levels, and EC. Materials and Methods. Two groups of patients were included in the study: group I, 44 patients diagnosed with EC, and group II, 44 patients without gynecological pathology or inflammatory disorders. Visceral fat was determined by ultrasound and plasma GRP78 levels were measured. Results. Plasma GRP78 levels were significantly higher in patients with EC compared to the control group. Intraperitoneal fat was in a positive linear correlation with the plasma GRP78 level (p < 0.0001). Conclusion. The measurement of the GRP78 level associated with the determination of intraperitoneal fat can be a useful predictor for EC.
Client requirements for real-time communication services

A set of performance specifications that seem appropriate for real-time computer communication services is proposed. They include various types of delay bounds, throughput bounds, and reliability bounds. Other requirements and desirable properties are described from a client's viewpoint, and the ways in which each requirement is to be translated to make it suitable for lower levels in the protocol hierarchy are examined. Some examples of requirements specification are presented, and possible objections to the approach are discussed. <<ETX>>
Analog circuit fault diagnosis combing wavelet packet with higher order statistics

An approach to fault diagnosis for analog circuit is described in this paper, which uses wavelet packets transform and higher order statistics (HOS) method to extract fault features and SVM classifiers to classify faults. Firstly, output voltage signals are obtained from the test nodes and the fault feature vectors are extracted using wavelet packets transform and HOS method. Then, the fault feature vectors are feed to SVM for classification. Simulation results of diagnosing a four op-amp high pass filter show us the proposed method has the higher classification accuracy and have confirmed the validity of the proposed method.
Study on ontology-based integration strategy and methods for PMS

This paper studies the integration methods of PMS (project management system) based on ontology theory. An ontology is a collection of key concepts and their inter relationships collectively providing an abstract view of an application domain. It is an essential element in many applications. Paper focuses on the methods of ontology integration for project management system, ontology-based projects heterogeneous database integration and local ontology construction. It builds an interacting architecture of project information based ontology. Moreover, it discusses project integration application service process based on the method of project isomeric database integration, which includes project business process generation part and service discovery and management integration part based on web. And then it gives a structure model of IIIPMO (isomeric information integrated project management based on ontology), which is effective for ontology creation and integration in PM system. Finally, it presents a structure of the ontology-based intelligent decision support system.
QoS-aware Service Composition in Service Overlay Networks

As the amount of Web services over the Internet grows continuously, these services can be interconnected to form a service overlay network (SON). On the basis of SON, building value-added services by service composition is an effective method to satisfy the changeable functional and non-functional QoS (quality of service) requirements of customers. However, the previous research on QoS- aware service composition in SON mainly focuses on the context where services have simple interactions, and it can not support application scenarios with complex business collaboration in electronic business. In this paper, we propose the HOSSON (hierarchical service composition framework in SON) framework, which can be used to construct more general-purpose SON through describing the relations among services using business protocols. In HOSSON, business protocols instead of interactive messages are adopted to simplify the description of service composition requirements and a novel approach named protocol computing are proposed to implement service composition on demand. Furthermore, two algorithms, OSS and MCSS, are designed to support service selection for QoS-aware service composition. Finally, comprehensive simulations are conducted to evaluate the performance of algorithms.
Assessing Attachment in Young Adulthood: A Validational Study.

A sample of college students (N=170) was used to replicate and extend recent investigations that had conceptualized adults' close relationships within an early attachment framework. Analyses were conducted to support the validity of Hazan and Shaver's (1987) attachment measures, which were designed to assess the three major styles of attachment: secure, anxious/ambivalent, and anxious/avoidant. The Single-Item, Multi-Item, and Mental Model attachment measures were also used to test the association between young adult attachment and psychosocial adjustment. Results showed that using a self-classification measure appears to be a valid method of assessing young adult attachment. Furthermore, findings revealed a strong relation between mental models and attachment style, demonstrating construct validity for this assessment of internal working models. Finally, attachment characteristics were found to be strongly related to psychosocial adjustment. The secure group had more positive mental models and were better adjusted overall. Few differences emerged between the anxious/ambivalent and anxious/avoidant groups. This result is consistent with findings from infant attachment studies. (Four data tables and references are included.) (Author/ABL) *********************************************************************** * Reproductions supplied by EDRS are the best that can be made * 1, from the original document. * *********************************************************************** ASSESSING ATTACHMENT IN YOUNG ADULTHOOD: A VALIDATIONAL STUDY Lizbeth A. Moses, M.A. David Pellegrini, Ph.D. Karen T. Cammuso, Ph.D. Clifford I. Notarius, Ph.D. Marriage and Family Studies Group The Catholic University of America Poster presented at the biennial meeting of the Society for Research in Child Development, Seattle, April 1991. This project was supported by the Marriage and Family Studies Group at the Catholic University through a grant awarded by NIMH to the 2nd and 4th authors (#MH41858). Correspondence may be addressed to: Lizbeth A. Moses, Psychology Department, Catholic University, Washington, D.C., 20064. BEST COPY AVAILABLE U.S. DEPARTMENT OF EDUCATION (MKT of Educational Research and Impro.ement EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) /This document has been reproduced as received trom the person or organization originating it r Minor changes have been made to improve reproduction quality Points of view or opinions slated in this docu merit do not necessarily represent official OERI position or policy "PERMISSION TO REPRODUCE THIS MATERIAL HAS BEEN GRANTED BY 4 iz I 1105es TO THE EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC). "