Miracle-dz/UniFAR-FTUs huggingface dataset:
Singular Value Decomposition For Image Coding

The numerical algorithm known as singular value decomposition [1] has been applied to image processing with interesting consequences [2 ]. Initially the algorithm was used to effect a pseudoinverse restoration [3 ] for better object estimation from degraded imagery. However the singular value decomposition (SVD) technique can also be effectively utilized in image compression problems when large compression ratios are desired. This Abstract refers to some experimental work developed at The Aerospace Corporation in which imagery has been compressed using SVD methods. Pictorial and computational results indicate that 8 bit imagery can be compressed to 2 bits with 0. 5% mean square error while the same imagery can be compressed to 1/2 bit with 1. 5% mean square error. These results will be presented along with various algorithms which make use of the SVD domain of an image for subsequent image compaction.
Amoebiasis as a Major Risk to Human Health: A Review

Entamoeba histolytica has diverse distribution and is a substantial risk in almost all the countries where barrier between human feces, food and water source are ordinary. There are at least 8 different amoebas that live in the human intestinal lumen however those are generally accepted as commensals except for E. histolytica . The parasite imposes a major threat to public health in most parts of world and has re-emerged in some previously dormant areas as it is categorized as second leading cause of death from parasitic disease worldwide. In most of E. histolytica infection, symptoms remain absent or very mild whereas most frequent clinical manifestation are colitis and liver abscess due to amoebic infection. Laboratory diagnosis of amoebiasis is usually made on the basis of microscopical and serological methods Nitromidazole derivatives like metronidazole, tinidazole and ornidazole are considered as foundation stone of the treatment for amoebiasis. Lack of effective vaccination is one of the major hurdles for the control of amoebiasis that may prevent transmission of the parasite and or at least progression of the infected individuals into active invasive disease. The aim of this article is to comprehensively review the epidemiology, disease pathology and treatment of this parasitic zoonotic disease.
How projection-pursuit learning works in high dimensions

This paper addresses an important question in machine learning: What kinds of network architectures work better on what kinds of problems? A projection pursuit learning network has a very similar structure to a one hidden layer sigmoidal neural network. A general method based on a continuous version of projection pursuit regression is developed to show that projection pursuit regression works better on angular smooth functions than on Laplacian smooth functions. There exists a ridge function approximation scheme to avoid the curse of dimensionality for approximating some class of underlying functions.
DISCOVERY OF INTERMINGLED EVENT PATTERNS IN DISCRETE MONITORING DATA

Abstract This paper considers the discovery and detection of repeating patterns in event sequence data, where the event patterns may be of variable duration, may be intermingled, and may be of variable length. These properties are characteristic of many types of monitoring and diagnostic alarm sequence data, and may be used in detecting both normal and abnormal behaviours of complex dynamic systems.
ejercicio físico como intervención eficaz en el anciano frágil Physical exercise as an efficient intervention in frail elderly persons

Frailty is a state of vulnerability that involves an increased risk of adverse events in older adults. It is a condition with a complex etiology and pathophysiology. At present, there are functional tools for its assessment that are simple and reliable. Physical inactivity is a major risk factor for sarcopenia, a core aspect of frailty. Currently, mulicomponent exercise programs, and especially resistance exercise, are the most relevant interventions to slow down disability and other adverse outcomes. Moreover, these programs are valuable interventions in other frailty domains such as falls, cognitive decline and depression. However, in frail aged patients it is necessary to explore optimal resistance training components and develop specific clinical guides of physical activity for this target population.
Sexualität nach Mamma-Ca

Sexual complaints are an often reported complication of breast cancer treatment, however still under diagnosed and rarely subject of oncologic counseling. The etiology is multifactorial: predisposing factors, triggers and maintaining factors can be identified on a somatic, psychological and social-interactional level. Accordingly, the development of the therapeutic approach is based on the identification and, where possible, modification or compensation of those factors which explain and maintain the sexual problems. Most often, loss of appetence is being reported, however, as it may develop secondary to sexual pain (dyspareunia) which is partly due to lack of lubrication as a consequence of therapy induced hormonal changes, the entire sexual interaction as well as sexual experiences since diagnosis and treatment should be systematically assessed. For treatment, vaginal atrophy, climacteric symptoms and, most importantly, the psychological and relational adjustment process to illness induced changes have to be considered.
An intuitionistic fuzzy sets application in multiagent systems of metamorphic robotic systems

The metamorphic robotic systems are a new and rather perspective sphere of robotics because of their different and useful applications. An implementation of intuitionistic fuzzy sets (IFS) in multiagent systems (MAS) is chosen for presenting a useful control techniques of metamorphic robots. They could be considered as a collection of identical modules and each unit has the ability to connect, disconnect and climb over its near neighbours (modules). So changing the overall shape of a robot is possible to be applied in different task decisions. The leading scope of this issue is to present a method of IFS application in MAS for solving chain locomotion and ameboid movement tasks.
AUTOMATED DAMAGED FLOWER DETECTION USING IMAGE PROCESSING

Floriculture is the growing of cut flowers, potted flowering and foliage plants, and bedding plants in greenhouses and/or in fields. In this paper proposes image processing methodology to detect flower disease of different flowers. In this paper first, the captured images are collected from different field and are processed for enhancement. Then image segmentation is carried out to get target regions (disease spots). Finally, analysis of the target regions (disease spots) based on histogram approach to finding the phase of the disease with the help of stem value and then the treatment consultative module can be prepared by on the lookout for agricultural experts, so plateful the farmers.
Digital Pathologies in Education: Introduction to the Special Issue

The advent of cheap computers during the 1980s and then the explosion of the Internet during the 1990s and the first decade of the new millennium expanded educational possibilities to an extent that was unimaginable only a few decades ago, and many articles in the Journal of Educational Computing Research attest to the positive ways that educators can use computers in the classroom. However, there are also disadvantages to educational computer use, these sometimes occurring as a result of the very popularity of the new technologies among children and college students. In this special edition of the Journal, we consider some of these downsides. Our purpose is not to discourage creative educational use of computers within and outside the classroom, but to encourage greater awareness of misuses of digital media and possible remedies. When computers initially became prominent in educational settings, much of the research on digital pathologies focused upon computer anxiety (e.g., Cambre & Cook, 1985; Marcoulides, 1988), implying that students who suffered from computer anxiety would be at a severe disadvantage as the use of computers became increasingly embedded within education. However, in developed societies at least, all students currently in primary and secondary school and a sizable number of those in college/university level education are now “digital natives” (a term coined in 2001 by Prensky to describe people who have grown-up in a world where computers, video games, the Internet, etc. are taken for granted). Unsurprisingly then, work on the impact of computer anxiety has diminished.
Letter: Math Pretreatment of NIR Reflectance Data: Log(1/R) vs F(R)

The Kubelka–Munk function, F(R), is not commonly used as a pretreatment of NIR reflectance data. Reasons cited for this in the Handbook of Near Infrared Analysis point to the limitations of the Kubelka–Munk theory in predicting diffuse scattering data, especially for highly absorbing samples. However, the case for this causing a non-linear function of concentration when using F(R) has not been adequately made. A re-examination of data presented shows the non-linearity to be largely explained by the use of methods which could not be expected to produce linear data. Thus, it is as yet uncertain if, when properly applied, the advantages of increased linearity when using the Kubelka–Munk function will outweigh the advantage of relative insensitivity to referenced photometric changes when using log(l/R) followed by a derivative.
A modular and efficient approach to computational modeling and sensitivity analysis of robot and human motion dynamics

In this paper a new class library for the computation of the forward multi‐body‐system (MBS) dynamics of robots and biomechanical models of human motion is presented. By the developed modular modeling approach the library can be flexibly extended by specific modeling elements like joints with specific geometry or different muscle models and thus can be applied efficiently for a number of dynamic simulation and optimization problems. The library not only provides several methods for solving the forward dynamics problem (like articulated body or composite rigid body algorithms) which can transparently be exchanged. Moreover, the numerical solution of optimal control problems, like in the forward dynamics optimization of human motion, is significantly facilitated by the computation of the sensitivity matrix with respect to the control variables. Examples are given to demonstrate the efficiency of the approach. (© 2012 Wiley‐VCH Verlag GmbH & Co. KGaA, Weinheim)
Estrogen‐receptor‐related protein p29 in primary nonsmall cell lung carcinoma

Estrogen‐dependent intracellular processes are important in the growth regulation of normal tissue and may play a role in the regulation of malignancies. Utilization of estrogen receptor assays in breast carcinoma is well established, but the role of such evaluation in other cancers largely is unknown. In this study, immunohistochemical expression of estrogen receptor (ER) and the ER‐related protein p29 was correlated with survival of patients with nonsmall cell carcinoma of the lung.
Small intestine intramucosal Pco2 and microvascular blood flow during hypoxic and ischemic hypoxia

Objective To determine whether small intestine intramucosal Pco2 and mucosal blood flow changes would be different between ischemic and hypoxic hypoxia. Design Randomized animal experiment. Setting Research laboratory. Subjects Anesthetized, mechanically ventilated, and surgically instrumented pigs. Interventions Systemic oxygen delivery was lowered in a stepwise manner to decrease it beyond critical oxygen delivery by lowering either Fio2 or blood volume. Measurements and Main Results In hypoxic hypoxia pigs (n = 6), arterial oxygen concentration and oxygen delivery decreases were achieved by progressively reducing arterial Po2 while cardiac index remained unchanged. In ischemic hypoxia pigs (n = 5), oxygen delivery reduction was achieved by progressively reducing cardiac index while arterial Po2 remained unchanged. In control pigs, oxygen delivery remained unchanged. The lowest oxygen delivery measured in both hypoxia and ischemia experiments was 3.60 ± 0.26 vs. 2.93 ± 0.77 mL·kg−1·min−1, respectively (p = .23). At the lowest oxygen delivery level, differences between ischemic hypoxia and hypoxic hypoxia experiments were observed for arterial lactate concentration (468 ± 308 vs. 1070 ± 218 mmol/L, respectively;p = .03), mixed venous arterial Pco2 difference (10 ± 7 vs. 4 ± 2 torr, respectively;p = .04), and small intestine mucosal blood flow (6.2 ± 2.1 vs. 15.7 ± 7.4 perfusion units, respectively;p = .02). Small intestine intramucosal-arterial difference was higher in ischemic hypoxia than in hypoxic hypoxia (52 ± 15 vs. 31 ± 12 torr, respectively;p = .03). Conclusion Small intestine intramucosal Pco2 increases may indicate systemic oxygen uptake supply limitation in ischemic and hypoxic hypoxia related to conditions of mucosal flow stagnation and CO2 generation.
Statins and their potential targets in multiple sclerosis therapy.

Multiple sclerosis (MS) is a CNS-demyelinating disease characterised by relapsing and chronic neurological impairment. While traditionally CNS autoantigen-specific CD4+ T cells have been considered the culprits in the initial phase of the disease, recent observations have altered this concept. It is now recognised that other T lymphocyte subclasses can initiate CNS demyelination. In addition, other cell types and molecules may play an important role in MS pathogenesis. There is overwhelming evidence that MS is a dynamic process, in which recurrent episodes of blood–brain barrier disruption and CNS inflammation play a crucial role in early disease stages, leading eventually to the largely irreversible changes of demyelination, gliosis and axonal degeneration. These observations may have important therapeutic implications. Within the last ten years, several medications have been approved for MS treatment. These agents, all of which are given parenterally, are only partially effective and are often associate.
Wavelet Statistical Texture Features with Orthogonal Operators Tumour Classification in Magnetic Resonance Imaging Brain

Tumors medically also called neoplasms are an abnormal mass of tissue resulting from uncontrolled proliferation or division of cells occurring in the human body. If such growth is located in the brain then it is called as brain tumor. Identification of such tumors is a major challenge in the field of medical science. Early identification of tumors prove to be critical as serious consequences can be averted. Its threat level depends on a combination of various factors like the type of tumor, its location, its size and its developmental stage. Tumor can occur in any part of the body. Magnetic Resonance Imaging (MRI) technique is mainly used for analyzing the brain, as the images produced are of high precision and applicability. The main objective of this study is to classify the brain MRI dataset for the existence or non existence of tumors. The proposed method uses Two Dimensional Discrete Wavelet Transform (2D-DWT) for pre-processing and further classification with orthogonal operators and SVM. The usage of 2D-DWT for pre-processing improves the classification accuracy by 2% when compared to the existing classification techniques.
Personal Perspectives: Individual Privacy in the IOT

The Internet of Things (IOT) is the extension of the Internet to the next level, i.e., bringing the Internet to the real physical world of things. In this research, 22 people working with different aspects of IOT development were interviewed in Finland and in China, in order to investigate their thoughts and personal opinions on the IOT and the individual privacy in the IOT. This paper presents the background of the IOT, interviews and collected answers, as well as highlights of collected free comments.
Technique of Psychotherapy

premises. The easygoing outlook which results is very much in line with so-called modem trends of thought, and is likely to become even more generally accepted than it already is. One feels, therefore, that there is considerable danger that some of the few may have their resolution weakened by the apparent weight of evidence against them, and abandon even the attempt to follow the stony, though richly rewarding, path of self-control. May a word then be put in for the encouragement of these ? The Bible abounds in examples of minorities who, although no doubt often thought " abnormal " by the majorities, were by no means therefore wrong. -I am, etc.,
Non-Structured Data Management by Means of Object Relational Database Management Systems

Non-structured data appear in several application areas such as multimedia data management, biological databases, digital libraries, and data integration. There are two important considerations in this area of non-structured data: firstly, the need to find expressive data modelling formalisms for representing non-structured data and their manner of functioning and, secondly, how to implant the models available at present and in the future. The present paper focuses on this second aspect. In order to clarify the subject proposed, this paper begins by analysing a practical case - the management of documents and their retrieval through conditions on their content. Next, the modular architecture of the ORDBMS is outlined, in particular that proposed by Informix, explaining the solutions for the cases of data access via Web and for document handling. Finally, the consequences of the use of these models on the database are discussed.
Automatically Checking for Session Management Vulnerabilities in Web Applications

: Many web applications employ session management to keep track of visitors’ activities across pages and over periods of time. A session is a period of time linked to a visitor, which is initiated when he / she arrives at a web application and it ends when his / her browser is closed or after a certain time of inactivity. Attackers can hijack a user’s session by exploiting session management vulnerabilities by means of session ﬁxation and cross-site request forgery attacks. Even though such session management vulnerabilities can be eliminated in the development phase of web applications, the test operator is required to have detailed knowledge of the attacks and to set up a test environment each time he / she attempts to detect vulnerabilities. We propose a technique that automatically detects session management vulnerabilities in web applications by simulating real attacks. Our technique requires the test operator to enter only a few pieces of basic information about the web application, without requiring a test environment to be set up or detailed knowledge of the web application. Our experiments demonstrated that our technique could detect vulnerabilities in a web application we built and in seven web applications deployed in the real world.
Shadow detection and building-height estimation using IKONOS data

The spectral confusion between shadow and water (or other dark surfaces) often results in suboptimal urban classification performances, especially from high-resolution satellite imagery (e.g. IKONOS). A classification method was developed to incorporate spatial indices of image objects to improve the shadow/water detection. A number of spatial indices, such as size, shape and spatial neighbour of image objects, were characterized to differentiate water and shadow objects. This generated superior shadow/water detection performance compared to a traditional per-field Extraction and Classification of Homogeneous Objects (ECHO) classification method. The user's accuracies for shadow and water classes were increased to 88% and 92%, compared to 80% and 76% obtained from the traditional ECHO classification approach. Furthermore, an automated approach was developed for shadow-length and corresponding building-height estimation. The accuracy assessment suggested good results for very high buildings, especially for isolated high-rise buildings.
A study of irradiation damage in commercial power MOSFETs by means of split C-V and conventional methods

Charge build-up and generation of interface states are the most important degradation factors in metal-oxide-semiconductor devices. Traditional methods to determine the radiation hardness of MOS structures require destructive testing. In this study we performed tests for commercial power MOSFET characterization by means of generally adopted methods like charge pumping (CP), I-V and split C-V techniques. Results of measurements confirm theoretical expectations but some unexpected effects also occurred.
Survey of Lossless Data Compression Algorithms

:- The main goal of data compression is to decrease redundancy in warehouse or communicated data, so growing effective data density. It is a common necessary for most of the applications. Data compression is very important relevancy in the area of file storage and distributed system just because of in distributed system data have to send from and to all system. Two configuration of data compression are there “lossy” and “lossless”. But in this paper we only focus on Lossless data compression techniques. In lossless data compression, the wholeness of data is preserved. Data compression is a technique that decreases the data size, removing the extreme information. Data compression has many types of techniques that decrease redundancy. The methods which mentioned are Run Length Encoding, Shannon Fanon, Huffman, Arithmetic, adaptive Huffman, LZ77, LZ78 and LZW with its performance.
Current Status of Petri Nets Theory in Power Systems

For the last two decades increasing attention has been given to Petri net's applications for the representation and analysis of large, complex, distributed, stochastic and discrete-event systems like flexible manufacturing, industrial control systems, communication protocol, distributed-software systems, distributed-database system, multiprocessor memory systems, data flow computing systems, fault-tolerant systems, and computer industries. Since power system is a large geographically wide distributed system, in the recent past, application of Petri net's theory in power systems have also been reported. This article presents literature survey of recent papers published in the area of power systems using Petri nets. Basics of Petri net's theory and its different forms applicable to power systems are also discussed. A method of detecting type of faults on three phase transmission line by using Petri net theory is discussed in details. Different examples based on Petri nets shows that such methodology is more efficient than the traditional approaches especially when the complexity of the problem increases.
Bradford’s law of Scattering Revisited: A study based on the References in Doctoral theses in the area of Physics

Abstract A study of the five years data of journals cited by the physicists at the University of Kerala (UoK), India has been carried out to examine the applicability of Bradford’s law of scattering on a sample of 303 journals containing 2655 citations collected from 12 doctoral theses during the period 2004-08. Ranked list of journals are prepared, and the most preferred journal is Journal of Geophysical Research with the highest of 345 (12.97%) citations. The paper provides summary and review of the scholarly contribution on the various facets of Bradford’s law. In addition to the theoretical aspects of the law, the review covers papers dealing with the application of the law in the various subject fields. Applicability of Bradford’s law on various methods has been tested. The journal distribution pattern of the doctoral theses does not confirm the Bradford’s distribution pattern. The Bradford multipliers are calculated, and the law was found to be applicable with the value of k as 2.66. The distribution of the journals in three zones done and the number of references in each zone is then calculated. The applicability of Leim-kuhler model is also tested with the present data. The Bradford’s law of scattering doesn’t follow the journal distribution pattern.