Miracle-dz/UniFAR-FTUs huggingface dataset:
HALF-WAVE SEGMENT FEATURE EXTRACTION OF EEG SIGNALS OF PATIENTS WITH DEPRESSION AND PERFORMANCE EVALUATION OF NEURAL NETWORK CLASSIFIERS

A detailed understanding of key signal characteristics has enabled the use of artificial neural networks (ANN) for feature detection and classification of EEG signals in clinical research. The present study is performed to classify EEG signals of normal and depression patients with wavelet parameters as key input features. The characteristics of depression cannot be made out by visual inspection of EEG records unlike epilepsy which is well characterized by sudden recurrent and transient waveforms. In this study, a comparison is made between the performance of feedforward neural network (FFNN) and probabilistic neural network (PNN) while classifying the EEG signals of normal and depression patients. Classification capabilities of both the methods are validated with the EEG recordings from 30 normal controls and 30 depression patients. One-way ANOVA provided a statistical significant difference between the two classes of EEG signals recorded. Preprocessing for feature extraction is done using discrete wavelet transform (DWT). The time domain and relative wavelet energy (RWE) features calculated from the sub-bands are given as a set of input to the neural network. Another set of feature used independently for training the network is the wavelet entropy (WE). The FFNN achieved a classification accuracy of 100% and PNN gave an accuracy of 58.75% with time domain and wavelet energy as the input features. With wavelet entropy as the input feature, FFNN further showed 98.75% classification accuracy while PNN gave an accuracy of only 46.5%. The results indicate that FFNN with the given input features is more suitable for the classification of EEG signals with mood changing depressive disorders.
3D Measurement of Anatomic Parameters and Development of a Digital Design to Improve the Outcome of Lower-Extremity Surgery

To overcome disadvantages of the older surgical model, we invented a new three-dimensional (3D) correction surgery design after studying computer-aided 3D model analysis. Three-dimensional reconstruction was carried out for computed tomographic (CT) scans of patients with normal bilateral lower extremities; an anatomical model was established; and the normal values of 3D anatomic parameters of the lower-extremity joints were measured with computer assistance. An osteotomy procedure was simulated using a computer, appropriate osteotomy site, and osteotomy angle, and an osteotomy method was selected. Computer-assisted design (CAD) was used to produce an individualized auxiliary osteotomy template for guiding the osteotomy and an auxiliary correction template for guiding correction surgery. Finally, we accurately performed surgery according to the preoperative design. All surgeries were performed successfully and postoperative x-ray films showed satisfactory deformity correction. Computer-aided lower-extremity joint correction surgery is more accurate and convenient than conventional surgery.
Anaerobic Digestion of Municipal Solid Waste: Thermophilic vs. Mesophilic Performance At High Solids

High solids anaerobic digestion of the mechanically sorted organic fraction of municipal solid waste under mesophilic and thermophilic conditions is reported. The semi-dry thermophilic process has a gas production rate two to three times the mesophilic process and nearly complete biodegradation. A 3 m3 stirred digester, feeding organic waste at 16-23% solids, was operated at hydraulic (volumetric) retention times decreasing from 15-8 days, and at organic loading rates increasing from 6 to 14 kg volatile solids m-3 day-1. An economic evaluation favours the thermophilic over the mesophilic process.
Customer satisfaction in Web 2.0 and information technology development

– The purpose of this paper is to investigate how the individual and organizations best use Web 2.0 social networking technologies to improve its relationships with customers. , – The theoretical background used in the paper was the familiarity-liking theory and prospect theory to understand the extent of user satisfaction with the services. Online survey from Second Life users was conducted to investigate customer satisfaction in Web 2.0 social networks and recent development on information technologies. , – The findings suggested that IT development is the inseparable part of Web 2.0 and enables to understand customer satisfaction as well as their perception on online technology. Both customer satisfaction and IT development has positive influence on consumer's service enjoyment and experience. , – The generalizability of the paper is limited. The survey data in this study have some common method bias. The possibility of the existence of the common method bias cannot be completely eliminated. , – The paper provides the significance of customer satisfaction for organizations, researchers, managers, and policy makers. The paper provides validated measurements to facilitate evaluation of several major user satisfaction constructs. , – The recent development of information and communication technology (ICT), especially the internet and its related technologies has become the main force of the development of online social network. The number of Web 2.0 users has been growing so rapidly that it has become an important channel for marketers to reach their customers.
Stable and Adaptive Control for Wheeled Mobile Platform

Most differential drive platforms are equipped with two independent actuators and casters. The positions of the gravity center and the rotation center often do not coincide. This position difference, combined with the effect of unbalanced actuator dynamics on the motion, makes it difficult to properly control the platform. We propose an adaptive nonlinear controller system based on the Lyapunov stability theory that greatly improves the trajectory tracking performance of such platforms. The asymptotically stable kinematic controller takes into account the position difference and the effect of the unbalanced actuator dynamics. The dynamic controller has the desirable property that it requires minimal knowledge of the platform physical parameters. Validation was performed through simulation and several experiments conducted on a rear driven powered wheelchair. Comparative experimental studies suggested that the proposed adaptive control system performs better than a similar method presented in the literature for linear as well as curvilinear trajectory tracking. Furthermore, the control system exhibits good tracking performance on inclined plans and non smooth surfaces.
Facial Expression Recognition Model Based on Computer Vision

A new facial feature position self-calibration method based on active computer vision is proposed in this paper to realize facial expression recognition. Compared with traditional method, the proposed method based on the extension focus thought only needs four linearly independent translational movements, one real rotational movement and one virtual rotational movement rather than the calibration reference object to realize the linear solutions orderly for internal reference matrix of camera, hand-eye relationship and feature point target depth. The experiment result shows that the proposed method is feasible and effective and the measurement errors of two-dimensional and three-dimensional feature points can be below 0.40mm, thus able to meet the industrial accuracy requirements.
The Precise Construction of Patient Protocols: Modeling, Simulation and Analysis of Computer Interpretable Guidelines

Standardizing the care of patients with complex problems in hospital settings is a difficult challenge for physicians, nurses and other medical professionals. Diverse conditions further complicate patient management. While in acute care settings such as intensive care units, the inherent problems of stabilizing and improving vital patient parameters is further complicated by the division of responsibilities among different individuals and teams, in outpatient settings the management of chronic diseases introduces additional complications related to the long-term treatment of patients. The use of evidence-based guidelines for managing complex clinical problems has become the standard of practice. Computerized support for implementing such guidelines has tremendous potential; however, addressing this problem requires a carefully coordinated use of various techniques from the field of computer science, as guidelines developed by the medical community are not directly interpretable by computers. In this thesis, first, we present a survey of literature and a study on the open questions from the field of clinical decision support focusing on the use of model-based techniques for specifying and implementing evidence-based guidelines. Following the survey, we describe a model-based architecture for enabling the construction, management, verification and execution of such guidelines. The presented architecture is model-based in the sense that it relies upon the formal modeling of medical guidelines, including the specification of input parameters such as signs and symptoms, output parameters such as medical actions, and other guideline-related constraints such as rules, regulations and policies. The behavioral semantics of these models is provided by the application of custom-built formal behavioral templates defined with the help of Matlab Simulink/Stateflow and model composition. The benefits of our approach are illustrated with the modeling, execution and formal analysis of a clinically relevant example, a sepsis management guideline. Keywords: Executable medical guidelines, Model-based development, Patient workflow management system, Design languages, Domain-specific architectures, Medical information systems, Modeling, Ontology.
Critical conditions of saddle-node bifurcations in switching DC–DC converters

Although existence of multiple periodic orbits in some DC–DC converters have been known for decades, linking the multiple periodic orbits with the saddle-node bifurcation (SNB) is rarely reported. The SNB occurs in popular DC–DC converters, but it is generally reported as a strange instability. Recently, design-oriented instability critical conditions are of great interest. In this article, average, sampled-data and harmonic balance analyses are applied and they lead to equivalent results. Many new critical conditions are derived. They facilitate future research on the instability associated with multiple periodic orbits, sudden voltage jumps or disappearances of periodic orbits observed in DC–DC converters. The effects of various converter parameters on the instability can be readily seen from the derived critical conditions. New Nyquist-like plots are also proposed to predict or prevent the occurrence of the instability.
Distributed coordinated task allocation for heterogeneous UAVs based on capacities

This paper investigates the problem of allocating unmanned aerial vehicles (UAVs) with different capacities to targets performing detection, attack and verification tasks. One of characteristics of capacities of UAVs or capacities required by targets is described by the concept of generalization, and modeled utilizing the normalized entropy. The discrepancy in capacities between two UAVs is represented by capacity distance, and measured by extending relative entropy. The model of the distributed task allocation for heterogeneous UAVs is established based on the principles that: (1) the capacities between UAV own and required by the target should be matched; (2) all the three tasks on one target should be executed by one UAV as possible; (3) the latter phase task of a target is tend to be executed by the UAV with large capacity distance from the UAV which has performed the former phase task of that target; (4) the route that the UAV traveled should be short and the flight range constraint should be satisfied. And the distributed auction algorithm using limited communications is developed to solve the task allocation problem. Finally, simulation results demonstrate the reasonableness of the model and the effectiveness of the method.
Research on Combinational Ambiguity in Chinese Word Segmentation

One of challenges in Chinese Word Segmentation is the combinational ambiguity problem with two main obstacles: the detection of combinational ambiguities and ambiguity resolution.This paper investigate the structures of combinational ambiguities and proposes a new approach for automatically detecting this type of ambiguities.The experimental result reveals the approach is effective in the tagged corpus of 1998-01 People Daily with about 1 million words,we have detected more than 400 combinational ambiguities,far more than that detected by common approaches.Then the resolutions of 60 combinational ambiguities are carried out using the maximum entropy model.The effect of six kinds of features,as well as their combination,on the performance of disambiguation is further studies.The average accuracy of disambiguation reaches 88.05%.
<formula formulatype="inline"><tex Notation="TeX">${\rm{IP}}^{2}{\rm C}$</tex></formula> Sensor Modeling

A model of a new class of total polymeric sensors known as ionic polymer–polymer composite <formula formulatype="inline"><tex Notation="TeX">$({\rm IP}^{2}{\rm C})$</tex></formula> has been developed. Starting from a previous model, new experimental investigations have been performed in order to increase the significance of the sensor model. The device uses Clevios P HC V4 electrodes and a conducting polymer, produced and distributed by Heraeus. The sensing behavior of <formula formulatype="inline"><tex Notation="TeX">${\rm IP}^{2}{\rm Cs}$</tex> </formula> has been modeled by applying a suitable set of deforming signals and using a data-driven identification procedure. The sensor model has been investigated in a suitable range of working frequencies by using an ad hoc realized setup. Also, Young's modulus of <formula formulatype="inline"><tex Notation="TeX">${\rm IP}^{2}{\rm Cs}$</tex></formula> has been measured by means of the dynamic mechanical analysis and the results have been used in the identification of the <formula formulatype="inline"><tex Notation="TeX">${\rm IP}^{2}{\rm Cs}$</tex></formula> sensor model. The model identification and validation have been performed by using a programmable mechanical vibration generator system, and experimental evidence of the suitability of the proposed model is given in this paper.
RATE ALLOCATION FORK-USER MAC WITH TURBO EQUALIZATION

A primary objective of this paper is to examine the achievable rate region of frequency selective K-user multiple access channels (MACs) with soft-cancelling frequency domain minimum-mean-squared-error (SC FD-MMSE) turbo equalization. With the aid of the knowledge about the extrinsic information transfer (EXIT) characteristic of the equalizer, we study the problem of determining the optimal rate allocation (RAAL) to theK users, for which the sum rate is maximized, and introduce a heuristic approach based on the dynamic programming principle for solving this optimization problem. We also propose a practical code selection algorithm for the RAAL to theK users given the multidimensional EXIT functions of the equalizer. It is shown through simulations that with SC FD-MMSE turbo equalization, substantial throughput gain can be achieved with the proposed RAAL technique over automatic repeat request with fixed coding rate.
DSGE models for policy analysis at central banks : an overview of issues and challenges

Over the past 15 years there has been remarkable progress in the specification and estimation of dynamic stochastic general equilibrium (DSGE) models. Central banks both in developed and emerging market economies have become increasingly interested in their usefulness for policy analysis and forecasting. This paper reviews some issues and challenges surrounding the use of these models at central banks. It recognises that such models offer coherent frameworks for structuring policy discussions. Nonetheless, they are not ready to accomplish all that is being asked of them. First, they still need to incorporate relevant transmission mechanisms or sectors of the economy; Second, issues remain on how to empirically validate them; and finally, challenges remain on how to effectively communicate their features and implications to policy makers and to the public. Overall, at their current stage DSGE models are likely to perform well in some dimensions but not in others. Thus, if they are to be used as policy tools, room must be left for judgement. JEL classification: B4, C5, E0, E32, E37, E50, E52, E58, F37, F41, F47.
International Conference on Electrical Engineering , Informatics , and Its Education 2015 B-6 Improving Accuracy and Efficiency of Spin-Image Algorithm using Interest Points Detection for 3-D Surface Registration

In Three-dimensional (3D) objects, the aim is to detect a few prominent structures, which can be used, instead of the whole object, for applications like object registration, recognition, retrieval and mesh simplification. The Interest Points Detection (IPD) on 3D mesh data is a significant tool in computer vision and pattern recognition. In this paper we present a IPD algorithm on 3D manifold triangular meshes using extension of the Harris operator and computing their corresponding descriptors. We propose extension of Harris operator using Fitted Quadratic Surface (EHOFQS) for IPD. The proposed algorithm has been applied to the task of 3D surface registration. An interest point detection and combine with a spin image algorithm to register 3D images data. This method make use of the Harris Operator Extension method of IPD on 3D manifold triangular meshes in Barycentric coordinates. Using this approach, we can extract the object correctly and effectively in noise situation. The unique advantage of this framework is its applicability to triangular meshes models. Experimental results show the quality of this IPD with EHOFQS was measured using the repeatability criterion and EHOFQS is faster than EHOGFP. It can provide sufficient information for surface registration. On a different number of models are shown to demonstrate more accurate and effectively results for global registering 3D Objects triangular meshes for three pairs of corresponding interest points features. Keywords— Harris operator; Interest points detection; Barycentric coordinates; Fitted Quadratic Surface
Experiences Which Add Risk for Development of Suicidal Ideations

There are a number of known suicide risk factors. Nevertheless, these risk factors are not necessarily closely related in time to the onset of suicidal behaviors – nor does any risk factor alone increase or decrease risk. Population-based research suggests that the risk for suicide increases with an increase in the number of risk factors present, such that when more risk factors are present at any one time the more likely that they indicate an increased risk for suicidal behaviors at that time. Child maltreatment has been investigated as a suicide risk for decades. The aim of this study was to evaluate the prevalence of women from the general population with suicidal ideas or attempts and add to the actual literature a larger perspective of different types of maltreatment in regards to experiences such as neglect, psychological, physical or sexual abuse, and its association to risk factor for suicide ideas and attempts. Data were collected during a telephone survey held between March and May, 2012 among a sample of 1,001 female adult respondents from Kenyan Public Universities. Questions were selected to investigate childhood maltreatment as a risk factor for probable depression, and actual post-traumatic stress disorders, and suicidal behaviours in the course of their lives. Regression analysis indicates a positive association between sexual abuse and suicidal ideations, as well as a positive association between sexual abuse, psychological abuse, probable depression and suicide attempts. Respondents, who attempted suicide, were two to three times more likely to have experienced the presence of sexual or psychological abuse in the past and four times more likely to have been screened for a probable depression. Interventions that target the early reduction of sexual or psychological abuse, may translate into ulterior reduction in mental health and suicidal behaviours.
SPECIAL PROBLEMS IN AN ETHNOBOTANICAL LITERATURE SEARCH : CORDYLlNE TERMINALIS ( L . ) KUNTH , THE " HAWAIIAN TI PLANT

-The different kinds of references to plants used by botanists, ethnographers and linguists may confuse ethnobotanists who are trying to follow species through the literature. Changes in botanical nomenclature, use of unfamiliar local and common names, and inadequate differentiation of varieties cause difficulties for researchers looking for references to particular plants. Problems encountered in a search for Cordyline terminalis (L.) Kunth, the "Hawaiian ti plant," illustrate these difficulties and point to some ways of resolving them. RESUMEN. -La diversidad de las alusiones a plantas que emplean los botanicos, los etn6grafos y los linguistas tiende a confundir a los etnobotanicos que procuren rastrear ciertas especies en las publicaciones cientificas. Los cambios de nomenclatura botanica, el uso de terminos locales y raros y nombres propios y la distinci6n insufiente entre las subdiviones dificultan la busca de referencias a plantas determinadas de parte de los investigadores. Los problemas encarados en la exploraci6n de Cordyline terminalis (L.) Kunth, "Hawaiian ti plant," demuestran esos obstaculos a la vez que indican ciertos metodos para superados. RESUME. -Les differentes sortes de references aux plantes dont les botanistes, les ethnographes et les linguistes se servent peuvent rendre perplexe l'ethnobotaniste occupe a suivre des especes a travers la litterature. Les changements de nomenclature botanique, I'emploi de noms locaux ou populaires peu familiers, et la differentiation insuffisante entre varietes posent des problemes a ceux qui sont en train de chercher des references aune plante determinee. Les problemes rencontres au cours de recherches sur Cordyline tenninalis (L.) Kunth, "Hawaiian ti plant," illustrent ces difficultes et indiquent des moyens de les resoudre.
Association of KCNJ 11 genetic variations with risk of Type 2 diabetes mellitus ( T 2 DM ) in North Indian population

Type 2 diabetes mellitus (T2DM) is a polygenic metabolic disease described by hyperglycemia, which is caused by insulin resistance or reduced insulin secretion. Interaction between various genetic variants and environmental factors triggers T2DM. The main aim of this study was to find the risk associated with genetic variant (rs5210) of KCNJ11gene in the development of T2D in Indian Population. A total number of 300 cases of T2D and 100 control samples were studied to find the polymorphism in KCNJ11 through PCR-RFLP. The genotype and allele frequencies in T2DM cases were significantly different from the control population. We found significant association of KCNJ11 (rs5210) gene polymorphism with T2DM in North Indian patients indicating role of this variant in developing risk for T2DM.