Miracle-dz/UniFAR-FTUs huggingface dataset:
Extract Unique Personal ID Using Fingerprint

Security documents like certificates, land revenue documents, etc., have only the individual’s name, address, and in some cases a photo as means of personal identification. This makes criminal impersonation an easy task. Therefore, many of these limitations can be eliminated by incorporation of better methods that can be used to verify identity by measuring and analyzing human characteristics instead of things the individual may have (smart card) or know (password). The main goal of this paper is using the fingerprint technology to generate the unique ID based on the core point of the fingerprint of an individual that can be used for identifying person identity. The finger-print’s minutia features are extracted with the core point as the reference based on the seven moment invariants, Then the extracted features are converted into numerical value, This numerical value is used as the unique ID for printing in the security documents for the personal identification. If the fingerprint image does not contain the core point such as the plain arch and tented arch patterns then we must create the center point in this fingerprint image and this is considered as the core point. The minutia features will be computed with this point as the reference point and this is used to generate a unique ID.
Dispositifs agiles à base de couches minces ferroélectriques de KTa1-xNbxO3 pour les applications hyperfréquences multistandards : contribution à la diminution des pertes diélectriques

Le contexte de ce travail de recherche est lie a la forte augmentation du nombre de standards de communication et la necessite de pouvoir utiliser l’un ou l’autre de ces standards a partir d’un seul et meme front-end RF. Pour atteindre cet objectif il est necessaire de mettre au point des fonctions agiles telles que les filtres, les dephaseurs,… De nombreux travaux ont montre la possibilite d’introduire une agilite au niveau des fonctions que ce soit par des semi-conducteurs, des MEMs ou des materiaux agiles. Nous nous interessons aux materiaux ferroelectriques. Ces materiaux, et plus particulierement le materiau BaxSr1-xTiO3 (BST), ont fait l’objet de nombreux travaux ces dernieres annees. Dans l’esprit de la recherche de nouveaux materiaux ferroelectriques, nous avons decide de travailler sur la mise en oeuvre de fonctions agiles en hyperfrequence a base de couches minces ferroelectriques de KTa1-xNbxO3 (KTN) developpees au sein du laboratoire USC de Rennes et susceptibles d’apporter une alternative au BST. Le point de blocage actuel reste le niveau trop eleve des pertes dielectriques liees a l’utilisation de ce materiau. Dans le cadre de cette these, nous avons travaille sur l’amelioration des performances de dispositifs accordables a base de KTN. Pour cela, les solutions suivantes ont ete testees dans le but d’optimiser le compromis agilite/pertes : Influence de la composition (KTa50Nb50O3, KTa65Nb35O3,. . . ) Dopage du film mince ferroelectrique Insertion d’une couche tampon de KNbO3 Localisation de la couche de KTN dans le dispositif Utilisation de la methode de depot par voie chimique en solution afin d’ameliorer la qualite des depots.
Mathematical Model and IDPSO Algorithm Research on Dynamic FleetPlanning

A mathematical model for dynamic fleet planning with multi routes and multi ship, which took the maximum total operation profits as its objective function, was built up according to the characteristics of the shipping company. The model had the following characteristics: Firstly in the model, the long-term fleet planning and short-term scheduling were combined. Secondly, the economic and technology indexes were changed with ship's age, which fully reflect the dynamic fleet planning. At the same time, because of being at a large scale, discrete, multi-dimensional and multi-stage optimiza- tion problem has become very difficult to solve. An improved discrete particle swarm optimal (IDPSO) algorithm was used to solute the model. According to the characteristics of the traditional discrete particle swarm optimization algorithm, some methods including coding strategy, iterative formula, initialization, dimension mutation operator to avoid precocious etc. for discrete particle swarm algorithm, were used to improve the method, which can be more suitable for fleet plan- ning's mathematical model and to avoid premature phenomenon. Finally, an example was given to show that the im- proved method was effective.
FLT3 ITD DeTecTIon: A cLoser Look AT The opTIons

The presence of internal tandem duplication (ITD) mutations in FLT3 has prognostic value in AML patients with normal cytogenetic profiles. There are several methods that can be utilized to detect these mutations with the tendency these days towards using expensive capillary analyzers and real-time amplification instruments, which prohibit ITD detection in more basic molecular facilities. We evaluated the use of a modified agarose gel electrophoresis assay for the detection of FLT3ITD mutations, in comparison to capillary electrophoresis and high resolution melt (HRM) assays, to assess the clinical diagnostic potential of this simpler technique. Each technique was evaluated on detection sensitivity, accuracy, reagent costs and processing time. Overall, in spite of the lure of advanced technology to provide faster and more sensitive analysis, in the case of FLT3ITD detection, basic molecular methodology proved to be the most sensitive, the most cost-effective and was able to deliver a reportable result in a time comparable to capillary electrophoresis. Under our test conditions, the HRM assay was neither reliable nor clinically sensitive enough for the routine detection of these mutations. This study showed that basic agarose electrophoresis methodology can successfully be employed to generate clinically relevant data regarding the FLT3ITD status of AML patients, allowing smaller molecular laboratories to offer this important prognostic assay.
Epoetin‐α during radiotherapy for stage III esophageal carcinoma

It has been suggested that hemoglobin levels of 12–14 g/dL are optimal for tumor oxygenation, radiosensitivity, and prognosis. In this prospective study, the authors evaluated the effectiveness of epoetin‐α to maintain hemoglobin levels at 12–14 g/dL during radiotherapy (RT) for patients with UICC Stage III esophageal carcinoma, and they examined the impact of erythropoetin on overall survival (OS), metastatic‐free survival (MFS), and local control (LC).
Membership function learning in fuzzy classification

A novel three-layer fuzzy neural network (FNN) is proposed which possesses ihe structure and learning ability of artificial neural networks, and the classification ability of fuzzy algorithms for pattern classification problems. During learning, the proposed FNN learns the membership function of each fuzzy class from training samples and adaptively organizes its hidden layer. The learning and recall times of the FNN are fast. Simulation results are also presented.
Accuracy improved ADI‐FDTD methods

FDTD method plays an important role for simulation of different structures in various fields of engineering, such as RF/microwaves, photonics and VLSI. However, due to the CFL stability constraint, the FDTD time step is still small and the related CPU time is still large for modelling fine geometry where small cell sizes are required to resolve fields. As a result, the unconditionally stable CFL‐condition‐free ADI‐FDTD method is becoming a popular alternative to the FDTD method. The ADI‐FDTD method allows the use of larger time steps; however, it comes at the cost of larger errors. To mitigate the problem of these larger errors, in this paper we propose to modify the conventional ADI‐FDTD algorithm. The modifications are based on the fact that because the ADI‐FDTD is a truncated form of the Crank–Nicolson (CN) method, the truncated terms can be re‐introduced approximately into the ADI algorithms to improve accuracy. Two accuracy‐improved ADI‐FDTD algorithms are derived and then validated for two‐dimensional cases. Unfortunately, in the three‐dimensional case the proposed methods are not found to be unconditionally stable. Copyright © 2006 John Wiley & Sons, Ltd.
Moisture detection in heritage buildings by 3D laser scanning

Moisture is one of the main factors in the deterioration of heritage buildings, causing mould, unwanted parasites, and the decanting of salts, which, in turn, aggravate such degradation. The existence of moisture not only affects the building aesthetically, but is also evidence of bad conservation conditions. It is thus extremely important to verify and assess the extent of the moisture, even though it may not be confirmed by mere visual inspection. This article describes an innovative and straightforward procedure to automatically show where moisture appears, as well as the affected area. The procedure is based on the use of 3D laser scanner surveying data for documentation purposes of historic buildings. Data are processed off-line in order to analyse the laser reflectivity level. The method is not intrusive, allows large areas to be covered in a short time, and does not interact with the materials, which makes it optimal for application to these special buildings. Hence, professionals of the conservation sector will have objective and comprehensive information on moisture damage, helping them to take decisions on the action to be undertaken. The results achieved in the Cathedral of Ciudad Rodrigo (Spain) are shown to demonstrate the utility of the proposed method.
Characterizing Petri Nets with the Temporal Logic CTL

Model checking is a powerful technique for verifying systems and detecting errors at early stages of the design process. When model checking is used to check properties of Petri net, the specification has to be expressed in temporal logics. In this paper we will focus on how to characterize some important properties of Petri net such as reachability, liveness et al. with the computation tree logic CTL. Under the characterization Petri net can be verified automatically with the help of a model checker. Keywords-model checking; petri net; computation tree logic
Reasoning robots - the art and science of programming robotic agents

The book provides an in-depth and uniform treatment of a mathematical model for reasoning robotic agents. The book also contains an introduction to a programming method and system based on this model. The mathematical model, known as the "Fluent Calculus'', describes how to use classical first-order logic to set up symbolic models of dynamic worlds and to represent knowledge of actions and their effects. Robotic agents use this knowledge and their reasoning facilities to make decisions when following high-level, long-term strategies. The book covers the issues of reasoning about sensor input, acting under incomplete knowledge and uncertainty, planning, intelligent troubleshooting, and many other topics. The mathematical model is supplemented by a programming method which allows readers to design their own reasoning robotic agents. The usage of this method, called "FLUX'', is illustrated by many example programs. The book includes the details of an implementation of FLUX using the standard programming language PROLOG, which allows readers to re-implement or to modify and extend the generic system. The design of autonomous agents, including robots, is one of the most exciting and challenging goals of Artificial Intelligence. Reasoning robotic agents constitute a link between knowledge representation and reasoning on the one hand, and agent programming and robot control on the other. The book provides a uniform mathematical model for the problem-driven, top-down design of rational agents, which use reasoning for decision making, planning, and troubleshooting. The implementation of the mathematical model by a general PROLOG program allows readers to practice the design of reasoning robotic agents. Since all implementation details are given, the generic system can be easily modified and extended.
A Study of the Outcomes of Required Counseling during Counselor Training at a CACREP Accredited University.

Counselor education literature suggests that part of counselor training is personal growth and that counselor education should be dealing with personal issues that may hinder the effectiveness of counselor trainees in a clinical setting. An ongoing discussion of effective interventions has presented a variety of suggestions for intervention by counselor education programs toward this end. One approach has been to mandate personal counseling by trainees. A qualitative study of 13 graduates of the Masters degree counselor training program at a major university was undertaken to find out if the policy of requiring counseling during the program was effective. Evidence is presented to show that the policy was not strictly nor universally enforced. However, most of those who attended counseling found it to be an important part of their development as professional counselors and were able to define personal counseling's contributions. Most of those who had not been required to attend counseling thought that the requirement should exist. Implications and suggestions for further research are discussed. (Contains 27 references.) (Author/MKA) Reproductions supplied by EDRS are the best that can be made from the original document. CNA Mandated Counseling for Counselor Trainees 1 A Study of the Outcomes of Required Counseling During Counselor Training at a CACREP Accredited University
Distributed active systems

This textbook presents an introduction to the mathematical theory of cooperative behaviour in active systems of various origins, both natural and artificial. This volume (the first of two) is devoted to the properties of regular self-organized patterns in distributed active systems. An analysis of pattern formation and self-supported wave propagation in active media is followed by a description of the properties of neural networks and their possible applications in the field of distributed analog information processing. The volume ends with a discussion of reproductive networks and evolutionary systems. Attention is focused on basic models which might appear in a wide range of applications. As illustrations, the author uses simplified examples borrowed from a variety of disciplines ranging from chemical and biological physics to market economics. The new edition has been thoroughly revised and updated to incorporate recent advances in this exciting field.
A retrospective study of ailments in goats at Thiruvallur district, Tamil Nadu state.

A retrospective study of goat diseases was undertaken because of high migratory population and marketing potential nearby Chennai, at Sholavaram block, Ponneri division, Thiruvallur district, Tamil Nadu state during November 2010 to October 2014 to determine prevalence and distribution of goat ailments. According to the recorded data, a total of 4013 sick goats were examined in this period. The commonly recorded diseases/ disorders were Enteritis (65.5%), Acidosis (13.01%), Dog bite wound (9.37%), Dystocia (5.08%), Myiasis (3.88%), Retention of placenta (3.88%) and 3.64% treated for mange. Out of 4013 sick animals, 39.7% were female and 60.3 % were male animals. Animals aged between 6-12 months had high prevalence (39.15%), it was 36.8% in age group 0-6 months and 24.15% in age group above 1 year. But while ignoring Obstetrics and Gynaecology cases, age group 0-6 months had high prevalence (44.2%) comparing with others. Prevalence of diseases was high (52.3%) in rainy season (July-October) followed by (32.5%) in winter (November-February) and lowest (15.2%) in summer season (March-June). The outcome of the study suggested that precautionary measures like strategic deworming before rainy season and proper awareness on feeding protocols may characteristically improve goat production.
An Analysis of Automated Decision Making Methodologies in Role Playing Video Games: Centralized Approach

This paper analyzes an approach at evolving intelligent agents to work together to perform and accomplish a common task in a role-playing video game environment. A platform was created that allows research into the capabilities of automated neuro-evolving agents in team (party) environments to work together to defeat a common enemy or perform a common task. This research focuses on a centralized methodology to accomplish this. All party members share a common agent, or brain. Party members are given a set of qualities that contain information that either a player or a computer enemy would need in a MUD or MMORPG combat situation. These qualities are then used by the centralized agent to make decisions for each party member to perform their tasks. This shared agent is then rewarded based on the performance of the party as a whole. This research looks into the effectiveness and limitations of that centralized agent in this environment. Introduction In an environment in which multiple, separate individuals share a common goal, it may be beneficial for these individuals to work together to complete tasks to accomplish this goal. Many of these individuals may have different abilities or even a subset of abilities necessary to perform the tasks at hand, so they may need to learn to work together with others to find ways to be successful. Given this, these individuals then become part of a party, all with a shared purpose. In performing tasks, many questions are presented concerning these parties. How should these parties be organized? In learning ways to accomplish tasks to attain a goal, how should individuals be rewarded for positive actions? If the party members are all homogeneous in learning and skill, will unique roles emerge that the party members take to accomplish tasks? If the party members are heterogeneous, can they use their abilities to work together meaningfully? What information do party members need to know about one another to make proper decisions? And, most importantly, should they be rewarded individually, or as a party? This paper addresses these questions utilizing a centralized approach to learning in a game domain that was created to mimic role playing video games. Teams are created of either homogeneous or heterogeneous individuals; these individuals all share a common goal and brain. The shared goal is to defeat a common enemy in a battle simulation; this shared brain makes decisions and is rewarded based on the party’s success in defeating their enemies. Hypothesis As the number of party members grows in this domain, the number of inputs to the shared brain increases drastically, as does the importance of those inputs at any point during battle. I expect to see tremendous success in the experiments in parties with a low number of members and actions per member, but as the number of members and actions increase, rtNEAT will be incapable of making any sense out of the inputs presented.
Análisis del comportamiento informacional en la comunidad científica de la provincia de Sancti Spíritus formada a partir de un proyecto colaborativo

800x600 Objetivo: identificar el comportamiento informacional de los investigadores de diferentes disciplinas que conforman la comunidad cientifica. Metodos: se realizo un estudio exploratorio a miembros de una comunidad cientifica formada a partir de un proyecto colaborativo institucional, donde la mayoria de sus investigadores pertenecen al area de las ciencias puras, naturales y aplicadas. Las variables elegidas fueron: grado de estudio, edad, tipo y etapa de investigacion, recursos de informacion y fuentes informativas. Se aplico el cuestionario a los miembros de la comunidad y los resultados se analizaron de forma descriptiva. Se utilizaron pruebas estadisticas no parametricas para comprobar si existia correlacion entre las variables seleccionadas para el estudio. Resultados: se pudo definir el comportamiento informacional de los miembros de la comunidad cientifica; se demostro que la biblioteca es el recurso de informacion mas utilizado, el aumento del uso de las publicaciones periodicas (revistas, anuarios), la necesidad vital del contacto con colegas o pares, y que el texto electronico ocupa un lugar cada vez mas importante de aceptacion entre los integrantes de la comunidad investigada. Conclusiones: existen puntos de coincidencia en los patrones de comportamiento informacional de los investigadores que conforman la comunidad cientifica, respecto a investigaciones similares realizadas en otros paises y las experiencias consultadas para este estudio. Se destaca la biblioteca como el recurso de informacion mas utilizado, el uso de las publicaciones periodicas y el contacto con colegas o pares como opcion prioritaria para acceder a los resultados publicados de primera mano. Normal 0 21 false false false ES X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Tabla normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:. 0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman","serif";}
The Art of Modernism: Art, Culture, and Society from Goya to the Present Day

An in-depth portrayal of the artistic development of modern art from its impressionistic beginnings in the 19th century to the pluralistic art scene of the present, showing this movement as a completed development in art history. It follows the parallel developments in science, philosophy, politics and social history of the 20th century, underlining the interconnecting facets in the various developments and theorectical structures. The volume also covers details on the life and works of the important artists of the period.
Living with Childhood Cancer: A Practical Guide to Help Families Cope

A Guide to the Emotional Terrain Creating and Working With Your Team - Doctors, Nurses, Health Insurers, Teachers and Others Coping Successfully Understanding the Impact on Your Family Members Handling Emotions and Communicating Well Reducing Stress Alleviating Trauma Recognizing Special Risks for Stress and Trauma Relieving Pain and Side Effects Encouraging Child Development Building Self-Esteem in Your Child Dying and Grieving Survivorship.
The NetSolve environment: progressing towards the seamless grid

The NetSolve software project has matured into a robust system that reliably manages and interconnects disparate computational resources. Resource management and allocation policies, heterogeneity, fault-tolerance and security are some of the issues that need to be resolved in such environments. This article is meant to introduce the reader to the NetSolve system and offers a discussion of some of the key developments that have taken place in the project during recent months. To make the article coherent and somewhat self-contained, brief insight is given into some of the more fundamental aspects of NetSolve; the newer features and enhancements are given a more detailed discussion. For completion, there is a discussion of successful uses and integrations of the NetSolve system.
The Association of Early Substance Use with Lifetime/Past Year Contraction of Sexually Transmitted Diseases: A National Study

The study purpose is to examine the impact of early substance use on lifetime and past year contraction of sexually transmitted diseases (STDs), including chlamydia, gonorrhea, herpes, and syphilis. A secondary analysis of the 2012 National Survey on Drug Use and Health (N = 52,529) was conducted to determine if lifetime or past year STD contraction differed based on demographic differences. Lifetime and past year contraction based on first use of substance before age 21 differed based on sex, race/ethnicity, age, alcohol, marijuana, crack, and sedatives. Recommendations for future studies are included.