Miracle-dz/UniFAR-FTUs huggingface dataset:
Support Vector Machine Based Approaches For Real Time Automatic Speaker Recognition System

It is known that the Percentage of Identification Accuracy (PIA) of Automatic Speaker Recognition (ASR) systems is increasingly vulnerable, such as noise and channel degradation in real-time. This study presents a novel class SVM and i-vector based speaker specific feature extractor (SVM-IVSSFE) algorithms based ASR system. I introduce SVM based approach at two stages within state-of-the-art ASR system: i-vector extraction estimation and at the Probabilistic Linear Discriminant (PLDA). SVM based approaches have classified more challenging subsets on the basis of training using a proper difficulty criterion. After this, the proposed training algorithm is initialized with a subset that reaches a clean set and then moves into subsets which more are challenging for training because the algorithms move forward. Based on the SVM-IVSSFE approach on noisy background I evaluated the PIA of ASR on critically degraded datasets with NIST 2010 database with standard i-vector extractor. The multi session shows a consistent and significant improvement over several testing sets on a standard baseline with SVM-PLDA. SVM-IVSSFE ASR system shows 1.99% of improvements compare to SVM-PLDA ASR system as well as SVM-IVSSFE ASR system shows 1.5% of improvements compare to ISVM-PLDA ASR system.
Measuring Forest Disturbance with DNA Barcodes : Molecular Taxonomy of Belizean Rainforest Dung Beetles ( Coleoptera : Scarabaeinae ) by

2 Introduction 4-5 1.1. Dung beetles as indicators of forest disturbance 4 1.2. DNA taxonomy 5 1.3. Barcoding biodiversity 5 Materials and methods 6-11 2.1. Study sites 6 2.2. Field Sampling 7 2.3. DNA extraction and sequencing 8 2.4. Phylogenetic analyses 9 2.5. 16S sequence variation 10
Planning practices in Galicia: How communities compensate the lack of statutory planning using bottom up planning initiatives

Planning practices performed by non-governmental actors are often not considered as part the spatial planning domain. Spatial planning is generally associated with governmental activity: coordination that is aimed at a formal regulation of land uses and distribution of public goods. Nevertheless, the influence of other actors, like communities, is becoming increasingly important in planning studies. In this paper we argue that planning practices performed by local communities do deliver an important contribution to the improvement of local living circumstances. From the perspective of dialectics we explore how planning practices performed by communities and governments evolve and continuously shape and reshape the performance of spatial planning. These processes are studied qualitatively in rural Galicia, an Autonomous Region in North-Western Spain. Here we studied how two local communities developed and implemented their own plans for local public services and economic development. These two cases were studied in-depth through interviews with involved community members and field visits. Case study results show that a comprehensive recognition of dialectics is necessary to understand how a spatial organization is shaped. Without this understanding it is difficult to value the contribution of planning practices performed by communities to a better spatial organization.
Semantic Annotation and Inter-Annotation Agreement in Cast 3 LB Corpus

In the last few years, new semantically annotated corpora have been developed. Nowadays there are two general topic of interest in semantic annotation of corpora for Natural Language Processing: the first one is the annotation of the unambiguous sense of polysemic words (for example, SemCor [9]). Most of these corpora have been developed for Senseval forum 1 and Word Sense Disambiguation. The second general topic of interest in semantic annotation is the annotation of semantic roles and argumental structures (for example, PropBank [13]). In this paper we present a new corpus in Spanish annotated with word sense: Cast3LB corpus. It is an “all words” corpus in which all nouns, verbs and adjectives have been annotated with their unambiguous sense. In the next sections we will present the representation of the semantic information in the corpus and the annotation process. Then we will present the evaluation of the annotation: we have calculated inter-annotation agreement in three experiments. The first one was developed at the beginning of the annotation process, and the objective was to know the level of agreement between annotators without the annotation guide and without any training process. These results have been compared with the results obtained in the second experiment, developed at the end of the annotation process. The comparison shows that agreement increase notably. In this second experiment we have calculated inter-annotation agreement in 13 ambiguous
CHANGES AFTER PBSP GROUP THERAPY CHANGES IN SYMPTOMS , INTERPERSONAL PROBLEMS AND SELF-CONCEPTS AFTER PARTICIPATION IN PESSO BOYDEN SYSTEM PSYCHOMOTOR GROUP THERAPY

This is a non-experimental study of the effectiveness of a form of group therapy, Pesso Boyden System Psychomotor (PBSP). Twenty-eight outpatients were assessed on questionnaires prior to their participation in five different PBSP groups, and at fixed intervals during the semi-open groups. Significant reductions on standardized measures of psychiatric symptoms and interpersonal problems were found, as well as improvements in self-concepts. The size and clinical significance of these results were comparable to those obtained by other types of therapy.
Cortical Stimulation Elicits Regional Distinctions in Auditory and Visual Naming

We used electrical stimulation mapping to compare performance on auditory and visual naming tasks in inferotemporal, lateral temporal, frontal, and parietal cortex in 8 temporal lobe epilepsy (TLE) patients with subdural electrodes placed for preoperative language localization. Performance on auditory responsive naming (ARN) and visual confrontation naming (VCN) was best during stimulation of parietal cortex and was equally impaired during stimulation of inferotemporal and frontal cortex. In contrast, ARN performance was significantly poorer than VCN performance during stimulation of anterior and posterior lateral temporal cortex. In most patients, stimulation of inferotemporal cortex at relatively low stimulus intensities (≥ 5 mA) during either ARN or VCN elicited reproducible errors in which patients could describe, gesture, spell, or draw, but not name, in response to auditory or visual cues. Inferotemporal and frontal cortex appear to be multimodality language regions distinct from lateral temporal cortex.
The signal and the noise in Dutch verb clusters A quantitative search for parameters

This paper combines quantitative-statistical and formal-theoretical approaches to language variation. I provide a quantitative analysis of word order variation in verb clusters in 267 dialects of Dutch and map the results of that analysis against hypotheses extracted from the theoretical literature on verb clusters. Based on this new methodology, I argue that variation in verb cluster ordering in Dutch dialects can be largely reduced to three grammatical parameters.
Serum magnesium level and severity of delirium in alcohol withdrawal state

Objectives: Chronic alcohol consumption is associated with nutritional deficiency including micronutrients such as magnesium. Alcohol dependent patients often develop delirium during withdrawal. The relationship between low magnesium levels and delirium tremens has not been well studied. This study aims to estimate serum magnesium levels in alcohol withdrawal state and to study its association with severity of delirium. Methodology: This is a prospective study that involved 60 alcohol dependent patients in withdrawal state. Diagnosis was made using the tenth revision of the International Statistical Classification of Diseases and Related Health Problems (ICD-10) criteria. Alcohol withdrawal symptoms were rated using the revised clinical institute withdrawal assessment for alcohol scale (CIWA-Ar). The severity of delirium was rated using the Delirium Rating Scale-revised-98 (DRSR-98). Serum magnesium was estimated using colorimetric end point method. Results: Twenty per cent (n=12) of the subjects in alcohol withdrawal state had shown hypomagnesaemia. A significant increase in serum magnesium was seen from day one to day five. No significant relationship was noticed for serum magnesium level and severity of delirium. Conclusion: A significant number of alcohol dependent patients during withdrawal demonstrate hypomagnesaemia. Correction of serum magnesium level may be considered in patients with delirium tremens.
Textila nr 4_2014bun_Textila 2_2012.qxd

DOCUMENTARE 189, 219 Editatã în 6 nr. /an, indexatã oi recenzatã în: Edited in 6 issues per year, indexed and abstracted in: Science Citation Index Expanded (SciSearch®), Materials Science Citation Index®, Journal Citation Reports/Science Edition, World Textile Abstracts, Chemical Abstracts, VINITI, Scopus, Toga FIZ technik Revistã cotatã ISI oi inclusã în Master Journal List a Institutului pentru atiinþa Informãrii din Philadelphia – S.U. A. , începând cu vol. 58, nr. 1/2007/ ISI rated magazine, included in the ISI Master Journal List of the Institute of Science Information, Philadelphia, USA, starting with vol. 58, no. 1/2007
Exploiting Multiple Access in Clustered Millimeter Wave Networks: NOMA or OMA?

In this paper, we introduce a clustered millimeter wave network with non-orthogonal multiple access (NOMA), where the base station (BS) is located at the center of each cluster and all users follow a Poisson Cluster Process. To provide a realistic directional beamforming, an actual antenna pattern is deployed at all BSs. We provide a nearest-random scheme, in which near user is the closest node to the corresponding BS and far user is selected at random, to appraise the coverage performance and universal throughput of our system. Novel closed- form expressions are derived under a loose network assumption. Moreover, we present several Monte Carlo simulations and numerical results, which show that: 1) NOMA outperforms orthogonal multiple access regarding the system rate; 2) the coverage probability is proportional to the number of possible NOMA users and a negative relationship with the variance of intra-cluster receivers; and 3) an optimal number of the antenna elements is existed for maximizing the system throughput.
An Automated Blood Cell Detection and Segmentation System

This paper presents an end-to-end framework for automatically detecting and segmenting blood cells including normal red blood cells (RBCs), connected RBCs, abnormal RBCs (i.e. tear drop, burr cell, helmet, etc.) and white blood cells (WBCs). Our proposed system contains several components to solve different problems regarding RBCs and WBCs. We first design a novel blood cell color representation which is able to emphasize the RBCs and WBCs in separate channels. Template matching technique is then employed to individually detect RBCs and WBCs in our proposed representation. In order to automatically segment the RBCs and nuclei from WBCs, we develop an adaptive level set-based segmentation method which makes use of both local and global information. The detected and segmented RBCs, however, can be a single RBC, a connected RBC or an abnormal RBC. Therefore, we first separate and reconstruct RBCs from the connected RBCs by our suggested modified template matching. Shape matching by inner distance is later used to classify the abnormal RBCs from the normal RBCs. Our proposed method has been tested and evaluated on different images from ALL-IDB,9 WebPath,24 UPMC,23 and the one used by Mohamed et al.14 The precision and recall of RBCs detection are 98.43% and 94.99% respectively, whereas those of WBCs detection are 99.12% and 99.12%. The F-measure of our proposed WBCs segmentation gets up to 95.8%.
Central catecholamine neuron systems: anatomy and physiology of the dopamine systems.

ntain­ ing cells of the central nervous system has emerged much more slowly. This rela­ tively slower rate of progress appears to have resulted in part from the fact that methods for the analysis of the catecholamine pathways required techniques not previously available, and in part from the fact that once these techniques were available and in widespread use they produced a body of cytological and physiologi­ cal data that indicated that catecholamine neuron systems have properties that differ dramatically from those of "classical" central systems. In this chapter, we seek to review the present status of the central dopamine neuron systems with particular reference to their structure and function. We also place in perspective those structural and functional properties of these neuron systems that set them at variance with certain other well-defined neuronal circuits.
Adipocyte size redux

Adipocyte sizing methods have been extensively compared with each other since the late 60’s (1–3) and multiple measures of adipocyte size were established to be associated with metabolic risk (4). Laforest and colleagues (5) address a related and important issue: which method best predicts metabolic risk. They found fairly good correlations among the three commonly used cell sizing methods (collagenase-isolated cells, histological tissue sections and electronic (Multisizer®) sizing of osmium-fixed adipocytes), yet intriguingly found that the median adipocyte size measured by electronic counting of osmium-fixed cells best correlated with measures of glucose homeostasis, lipid profiles, and circulating adipokine levels. Beyond the advantages/disadvantages of each method (4,5), these new findings bring up several issues that merit wider discussion.
Anti-diabetic drug, metformin, and the p38 inhibitor (SB203580) reduces internal organs oxidative stress in non-obese type 2 diabetic rats

Nuttikarn Nokkaew1,2, Jantira Sanit1,2, Podsawee Mongkolpathumrat1,2, Siyamon Boontawee3, Supanut Ithipruchyabun3, Wannapa Plangklang3, Punyanuch Adulyaritthikul1,2, Kantapich Kongpol1,2, Sarawut Kumphune1,2,3* 1Biomedical Research Unit in Cardiovascular Sciences (BRUCS), Faculty of Allied Health Sciences, Naresuan University, Phitsanulok 65000, Thailand. 2Graduate Program in Biomedical Sciences, Faculty of Allied Health Sciences, Naresuan University, Phitsanulok 65000, Thailand. 3Department of Medical Technology, Faculty of Allied Health Sciences, Naresuan University, Phitsanulok 65000, Thailand.
Integrating Stimuli-Responsive Properties in Host-Guest Supramolecular Drug Delivery Systems

Host-guest motifs are likely the most recognizable manifestation of supramolecular chemistry. These complexes are characterized by the organization of small molecules on the basis of preferential association of a guest within the portal of a host. In the context of their therapeutic use, the primary application of these complexes has been as excipients which enhance the solubility or improve the stability of drug formulations, primarily in a vial. However, there may be opportunities to go significantly beyond such a role and leverage key features of the affinity, specificity, and dynamics of the interaction itself toward “smarter” therapeutic designs. One approach in this regard would seek stimuli-responsive host-guest recognition, wherein a complex forms in a manner that is sensitive to, or can be governed by, externally applied triggers, disease-specific proteins and analytes, or the presence of a competing guest. This review will highlight the general and phenomenological design considerations governing host-guest recognition and the specific types of chemistry which have been used and are available for different applications. Finally, a discussion of the molecular engineering and design approaches which enable sensitivity to a variety of different stimuli are highlighted. Ultimately, these molecular-scale approaches offer an assortment of new chemistry and material design tools toward improving precision in drug delivery.
Singularity analysis of mechanisms and robots via a motion-space model of the instantaneous kinematics

This paper investigates the kinematic singularities of a general mechanism (arbitrary kinematic chain), considered as a non-redundant input-output device with equal number of inputs and outputs. The instantaneous kinematics of a mechanism is described by the orientation of a linear subspace, the motion space, inside the velocity space of all potential instantaneous motions. The definition of singularity for a general mechanism is provided. On the basis of the six types of singular configurations introduced in the paper a comprehensive singularity classification is developed. <<ETX>>
A Review on the Production and Purification of Biomass-Derived Hydrogen Using Emerging Membrane Technologies

Hydrogen energy systems are recognized as a promising solution for the energy shortage and environmental pollution crises. To meet the increasing demand for hydrogen, various possible systems have been investigated for the production of hydrogen by efficient and economical processes. Because of its advantages of being renewable and environmentally friendly, biomass processing has the potential to become the major hydrogen production route in the future. Membrane technology provides an efficient and cost-effective solution for hydrogen separation and greenhouse gas capture in biomass processing. In this review, the future prospects of using gas separation membranes for hydrogen production in biomass processing are extensively addressed from two perspectives: (1) the current development status of hydrogen separation membranes made of different materials and (2) the feasibility of using these membranes for practical applications in biomass-derived hydrogen production. Different types of hydrogen separation membranes, including polymeric membranes, dense metal membranes, microporous membranes (zeolite, metal-organic frameworks (MOFs), silica, etc.) are systematically discussed in terms of their fabrication methods, gas permeation performance, structure stability properties, etc. In addition, the application feasibility of these membranes in biomass processing is assessed from both practical and economic perspectives. The benefits and possibilities of using membrane reactors for hydrogen production in biomass processing are also discussed. Lastly, we summarize the limitations of the currently available hydrogen membranes as well as the gaps between research achievements and industrial application. We also propose expected research directions for the future development of hydrogen gas membrane technology.
Conditions that Obviate the No-Free-Lunch Theorems for Optimization

Roughly speaking, the no-free-lunch (NFL) theorems state that any blackbox algorithm has the same average performance as random search. These results have largely been ignored by algorithm researchers. This paper looks more closely at the NFL results and focuses on their implications for combinatorial problems typically faced by many researchers and practitioners. We derive necessary conditions for the NFL results to hold based on common problem structures. Often it is simple to verify that these conditions are not present in the class of problems under investigation, thus providing a theoretical basis for ignoring the doleful implications of NFL giving justification for believing there might be a dominant algorithm for the problem class under study. We apply our results to three common classes of problems. We find that only trivial subclasses of these problems fall under the NFL implications.
SVM for density estimation and application to medical image segmentation

A method of medical image segmentation based on support vector machine (SVM) for density estimation is presented. We used this estimator to construct a prior model of the image intensity and curvature profile of the structure from training images. When segmenting a novel image similar to the training images, the technique of narrow level set method is used. The higher dimensional surface evolution metric is defined by the prior model instead of by energy minimization function. This method offers several advantages. First, SVM for density estimation is consistent and its solution is sparse. Second, compared to the traditional level set methods, this method incorporates shape information on the object to be segmented into the segmentation process. Segmentation results are demonstrated on synthetic images, MR images and ultrasonic images.
COLLISION AVOIDANCE PRIORITY FOR TRAFFIC CONGESTION IN MULTI-AGENT NAVIGATION

In this paper, we present an approach to manage crowds of autonomous agents when navigating around narrow areas of a scenario in a way that ensures every agent is able to reach its destination. In our formulation, agents that find themselves stuck in the crowd receive a priority number which signals nearby agents to steer away from them. This new technique will be tested on a simulated environment and compared to other algorithms that do not contain such crowd priority management. Keywords— Navigation, Agent, Crowd, Pathfinding, Collision Avoidance Resumo— Neste artigo, será apresentado uma abordagem de controle de multidão para agentes autônomos que navegam por áreas estreitas de um cenário de forma a garantir que todos agentes sejam capazes de chegar aos seus destinos. Nessa formulação, agentes que se encontram presos e parados na multidão recebem um número de prioridade que sinaliza agentes próximos para se afastarem. Esta técnica será testada em um ambiente simulado e comparada com outros algoritmos que não possuem essa gestão de multidão com prioridade. Palavras-chave— Navegação, Agente, Multidão, Enxame, Desvio de Colisão
VISUAL ODOMETRY WITH AN OMNIDIRECTIONAL MULTI-CAMERA SYSTEM

This paper suggests a visual odometry approach for an omnidirectional multi-camera system. Monocular visual odometry is carried out for each camera and the best estimate is selected through a voting scheme. While this approach does not present significant improvements in the trajectory in the XY -plane, it outperforms any of the monocular odometries in the relative translation in Z. Keywords— Visual odometry, multi-camera system, omnidirectional vision.