Miracle-dz/UniFAR-FTUs huggingface dataset:
Good enough Predictive QoS

We argue for the need of a tool that is able to provide QoS aware server applications with accurate information about current as well as predicted network characteristics. To address this issue, we present the design and evaluation of DANEF a system that is able to estimate, process and forecast bottleneck bandwidth, available bandwidth, delay, jitter and loss of a certain path. Active measurements are performed by sending small ICMP packet trains and forecasts are performed by applying fast allgorithms that need only small initialization sets. The accuracy of the measurements is achieved by applying an efficient and innovative filtering mechanism, the correctness of the forecasts is achieved by dynamically selecting the best fitting forecast model and by considering the forecast error of previous samples. Our evaluation has shown that DANEF’s measurement results are significantly more precise than those yield by the 5 most widely used tools called Bprobe, Cprobe, Pathload, Pathchar and Network Weather Service.
Knowledge Theory:The Nucleus

Knowledge is ,no doubt,an important wealth to the mankind but there has not a knowledge theory existed yet till the present time.An attempt was made in[1]to establish a foundation of knowledge theory that includes a series of basic issues such as the related concepts and definitions,the methods of representation,the measurements,the reasoning and decision rules.Here in the paper the nucleus of knowledge theory,the mechanism of knowledge creation and that of intelligence production,will be presented.It is believed that the establishment of the knowledge theory will lay a solid foundation to the unified theory of information,knowledge,and intelligence and that will greatly faciliate the effective utilization of information and knowledge leading to better advancement of the research in the field of intelligent machines.
Data Flow Diagrams of an Electronic Medical Record System in Mansoura Hospital

This paper develops an Electronic Medical Record System in the Neurosurgical Unit of Mansoura General Hospital using Data Flow Diagrams. Data Flow Diagrams are the first step to design the system blueprint as they represent user’s requirements. The paper creates a ‘‘context-aware’’ fisheye view as it is more successfully communicate the information contained in a set of Data Flow Diagrams (DFD) than a traditional ‘‘context-free’’ presentation. A case study and experimental results show that our context-aware’’ fisheye DFD's are well suited for application in developing Electronic Medical Record System. This makes the expert system more reliable and faster response
Methodological Considerations for Quantitative Content Analysis of Online Interactions

Content analysis as a research method has been reported since 1950s (e.g., Berelson, 1952). Beginning with journalistic and communication studies, it has penetrated into various fields of study. With recent development in virtual communities and proliferation of tools like Computer-Supported Collaborative Learning (CSCL) technologies, we see new applications of content analysis for virtual communities, particularly through the use of asynchronous online discussions, which can function as a collaborative learning space where collaborative meaning-making is mediated through interactional dialogues and computer supports. Content analysis methods have been used in several research settings to examine different levels and structures of participation. Such content ABSTRACT
Assessment of chemical, nutritional and bioactive properties of Annona crassiflora and Annona muricata wastes

Brazil is home of a wide biodiversity of natural resources compared to other countries, including a large number of underexploited fruits and exotic species that are of potential interest to the agroindustry (Almeida et al., 2011). Several fruits have leveraged the agribusiness sector, and the demand for regional products in large urban centers is rapidly growing. On order to expand the consumer market, it is necessary to develop new products with these fruits, e.g., jams, frozen pulps, cookies, food bars, ice cream, enriched flour, etc. (Carmo et al., 2012; Dias et al., 2003; Guedes et al., 2017; Dliveira et al., 2016; Santos & Silva, 2012; Silva et al., 2014a). Large amount of wastes, such as husks and seeds are discarded during the processing of fruits, and there is very little information on the exploitation of these by-products, thus, requiring further characterization. Annonaceae is a very common fruit family in Brazil, featuring a wide variety of exotic fruits, such as sweetsop (Annona squamosa), cherimoya (Annona cherimola Mill.), soursop (Annona muricata), and araticum or marolo (Annona crassiflora Mart.). Plants of the Annonaceae family are very important sources of edible fruit and perfume materials, being historically used by indigenous people in traditional medicine due to their antitumor, antiparasitic, and antidiarrheal activity (Santos Pimenta et al., 2003). Araticum (A. crassiflora), also known as marolo, is an exotic fruit found in the Brazilian Savannah (Cerrado) with high nutritional value and great technological potential. The ethanolic extracts of the seeds and husks of araticum showed excellent antioxidant activity when compared to other fruits (Roesler et al., 2006). Soursop (A. muricata) is a fruit originated in the tropical regions of South and Central America. The growing demand for this fruit has been attributed to its sensory characteristics. Soursop seeds contain a considerable amount of antioxidants (Silva & Jorge, 2014), are rich in oil and protein (Fasakin et al., 2008). The physical and chemical characterization and quantification of bioactive compounds present in these fruits seeds are important for their application in the development of pharmaceutical, cosmetic, and food products, as well as for understanding their nutritional value. The seeds, generally containing essential nutrients, also comprise a number of micronutrients, such as minerals, vitamins, and antioxidants (Luzia & Jorge, 2014). Some food contain compounds with antioxidant properties, which protect the human body against several chronic degenerative diseases (Souza et al., 2012). On the literature, several studies Assessment of chemical, nutritional and bioactive properties of Annona crassiflora and Annona muricata wastes
An Analysis-Synthesis Approach to the Creative Processing of Video Signals

An Analysis-Synthesis Approach to the Creative Processing of Video Signals Javier Villegas Plazas Analysis and synthesis (A/S) approaches are common in multimedia signal processing. Reducing a signal to its constituent parts is relevant because once the signal is analyzed, the set of extracted parameters can be more convenient for storage, finite length representation, transmission or manipulation than the signal in its original form. The community of audio artists have adopted A/S techniques as an important part of their arsenal of technological tools for the creative manipulation of sounds. Parameters can be altered before the synthesis, generating sophisticated sound effects while maintaining the identity of the original signal. Tools such as the tracking phase vocoder allow musicians to manipulate pitch and duration independently or to combine two signals in exotic ways (cross-synthesis). However, a similar emphasis has yet to be pursued for the creative manipulation of video signals. This dissertation describes how A/S approaches can be used to obtain non-photorealistic representations from live video. In this research, new algorithms have been designed to overcome problems like temporal coherence and to extend concepts like the cross-synthesis of two video signals. The creative and narrative possibilities of the developed techniques are used to compose complete pieces divided between short animations and real time installations. Details on vii the design and implementation of those pieces are included in this document. The pieces, together with the different examples used throughout the dissertation illustrate the versatility and control that can be obtained with A/S approaches and confirm that these sets of techniques can be considered for the creative manipulation of video data.
Regression learning for 2D/3D image registration

Image registration is a common technique in medical image analysis. The goal of image registration is to discover the underlying geometric transformation of target objects or regions appearing in two images. This dissertation investigates image registration methods for lung Image-Guided Radiation Therapy (IGRT). The goal of lung IGRT is to lay the radiation beam on the ever-changing tumor centroid but avoid organs at risk under the patient's continuous respiratory motion during the therapeutic procedure. To achieve this goal, I developed regression learning methods that compute the patient's 3D deformation between a treatment-time acquired x-ray image and a treatment-planning CT image (2D/3D image registration) in real-time. The real-time computation involves learning x-ray to 3D deformation regressions from a simulated patient-specific training set that captures credible deformation variations obtained from the patient's Respiratory-Correlated CT (RCCT) images. At treatment time, the learned regressions can be applied efficiently to the acquired x-ray image to yield an estimation of the patient's 3D deformation. In this dissertation, three regression learning methods - linear, non-linear, and locally-linear regression learning methods are presented to approach this 2D/3D image registration problem.
Factors Related to Cardiopulmonary Endurance of Hospitalized Older Adults With Chronic Obstructive Pulmonary Disease

Summary: Our study can investigate cardiopulmonary endurance associated effect factors and predictors, specifically age, gender, disease severity, BMI, dyspnea, respiratory muscle strength, lower extremity muscle strength, and lower limb muscle endurance. Our result s finds risk factors and could be a predictor of cardiopulmonary endurance in COPD’s elderly inpatients.
Three-dimensional registration method based on triangular marker in augmented reality

In order to accurately register the virtual objects into a complicated and real environment and enhance the real time tracking of three-dimensional(3D) objects in augmented reality system,a 3D visual registration method based on triangular pattern marker was proposed.Through an edge detection method,the triangular contour of a marker in the captured video image was extracted,and the data of triangular vertices were obtained.Moreover,the homography matrix was calculated according to these data,and the camera parameters were derived.And thus,the camera calibration was realized.The real time tracking of the detected target was performed with Camshift algorithm.The experimental results show that the object can be accurately registered onto the tracked target of a physical video image.The registration efficiency of the proposed method is superior to that of ATRToolKit software.
Effects of Early, Elevated Prenatal Testosterone on the HPA Axis and Hormone Responsiveness in Mice

EFFECTS OF EARLY, ELEVATED PRENATAL TESTOSTERONE ON THE HPA AXIS AND HORMONE RESPONSIVENESS IN MICE Hayley Ann Wilson University of Guelph, 2019 Advisors: Dr. Neil James MacLusky Dr. Elena Choleris Alterations in developmental testosterone exposure can affect social and anxiety behaviour in male offspring, however, the underlying mechanisms remain unknown. We hypothesized that prenatal testosterone exposure would impact physiological development in a similar way as prenatal glucocorticoid exposure, resulting in altered hypothalamic-pituitary-adrenal axis functioning and hormone profiles in offspring. We treated dams with testosterone propionate, the synthetic glucocorticoid dexamethasone, or sesame oil during mid-late pregnancy. Testosterone was measured in male offspring on the day of birth and in adulthood. Corticosterone was measured in offspring’s hair, and in plasma following restraint stress. Prenatal treatment did not affect offspring testosterone levels. While prenatal testosterone had no effect on corticosterone levels in hair, prenatal testosterone reduced corticosterone responsivity to restraint stress in males, but not females. No effects of prenatal dexamethasone on corticosterone responsivity was observed. This study may have potential implications for conditions in which testosterone or dexamethasone are elevated during pregnancy.
Mining Frequent Subgraph Patterns from Uncertain Graphs

This paper studies uncertain graph data mining and especially investigates the problem of mining frequent subgraph patterns from uncertain graph data. A data model is introduced for representing uncertainties in graphs, and an expected support is employed to evaluate the significance of subgraph patterns. By using the apriori property of expected support, a depth-first search-based mining algorithm is proposed with an efficient method for computing expected supports and a technique for pruning search space, which reduces the number of subgraph isomorphism testings needed by computing expected support from the exponential scale to the linear scale. Experimental results show that the proposed algorithm is 3 to 5 orders of magnitude faster than a naive depth-first search algorithm, and is efficient and scalable.
Validation of Korean-Language Version of Chronic Otitis Media Questionnaire-12 to Reflect the Disease Activity of Chronic Otitis Media

Background and Objectives The Chronic Otitis Media Questionnaire-12 (COMQ-12) was developed in the United Kingdom to assess disease specific Health-Related Quality of Life (HRQoL) of chronic otitis media (COM) patients. We assessed the validity of Korean version of COMQ-12 (K-COMQ-12) and its correlation with the disease activity of COM classified according to the type of surgery. Materials and Method We translated the original COMQ-12 into Korean and also performed a back-translation of the translated text into English. Enrolled were 106 COM patients and 106 healthy subjects. Cronbach alpha was used to evaluate internal consistency, and factor analysis was performed to prove reliability. We compared K-COMQ-12 scores between normal subjects and COM patients to assess validity. The scores were also compared by dividing groups according to disease activity of COM. Results Cronbach’s alpha showed good internal consistency (0.939). There was a significant difference in K-COMQ-12 scores between healthy subjects (1.99 ± 4.34) and COM patients (22.69 ± 12.41). Also, scores go higher as the disease activity of COM increased. A cut-off score of 6 of K-COMQ-12 sets 0.915 of sensitivity and 0.934 of specificity. Conclusion The K-COMQ-12 is a reliable and valid tool to assess HRQoL in patients with COM. The K-COMQ-12 could be also used as an objective tool that reflects the disease activity of COM.
Acoustic enhancement of sleep slow oscillations in mild cognitive impairment

Slow‐wave activity (SWA) during sleep is reduced in people with amnestic mild cognitive impairment (aMCI) and is related to sleep‐dependent memory consolidation. Acoustic stimulation of slow oscillations has proven effective in enhancing SWA and memory in younger and older adults. In this study we aimed to determine whether acoustic stimulation during sleep boosts SWA and improves memory performance in people with aMCI.
Predictive accuracy of performance oriented mobility assessment for falls in older adults: A systematic review

Background: Performance Oriented Mobility Assessment (POMA) is a commonly used screening tool for identifying patients at risk of falling. The purpose of this systematic review was to determine the overall predictive accuracy of POMA for falls in community-dwelling older adults. This review could provide useful information to use POMA in both research and clinical settings. Methods: In this study, PubMed, EMBASE, CINHAL, Cochrane Library, EBSCO, and SCOPUS were searched to identify studies published from 1987 to 2017 that aimed at validating POMA and reporting predictive value with sufficient data to calculate sensitivity and specificity. The methodological quality of the selected studies was assessed using the Quality Assessment of Diagnostic Accuracy studies (QUADAS-2). Results: Of the 121 identified studies, 12 met the inclusion criteria and were entered in the final analysis. Fall rate ranged from 5% to 61% in the included studies. The POMA cutoff point for discriminating fallers from non-fallers varied from 15 to 26. Sensitivity and specificity of the POMA ranged from 24-91 to 37-97, respectively. Conclusion: Due to heterogeneity of the type of studies, participants, the definition of fall, and use of different versions of POMA, it was not possible to determine a specific cutoff point for POMA. In addition, using the same version and scoring method of POMA and controlling the significant potential confounders (eg, age, gender, and comorbidities) would provide better information about the predictive accuracy of POMA for falls in older adults.
Assessment of Dietary Diversity of Mothers and Children of 6–24 Months from Eastern and Southern Provinces of Zambia

In-depth information on dietary diversity and food consumption patterns in Zambian households is still scarce. This study, therefore, probed dietary intakes of mothers and their children living in households of two Zambian districts, Chipata and Monze, located in the eastern and southern provinces of Zambia, respectively. After assessing their diet, Dietary Diversity Scores (DDSs) were calculated and classified into low and high categories, while correlations were used to test determinants of DDS. The assessment revealed that the consumption of cereal-based products ranked highest in frequency. Specifically, the consumption of maize-based foods was highest in Chipata (55.43%) and then in Monze (43.56%) households. There was an observed low preference for mixed dishes that were not either maize or groundnut porridges. We also found positive and negative correlations of DDS with the educational level of household heads and age of mothers, respectively. We, therefore, suggest that increased nutrition education may improve dietary preferences, so also further investigation into other factors hindering low choices for mixed recipes will be useful in increasing overall diet quality.
Design of a LW-VCSEL Optical Source

There are a number of reasons why light can be used as an efficient carrier of information. As a result, optical communication has gained much importance over the last few decades. The vertical cavity surface emitting laser (VCSEL) is a low cost light source with attractive performance characteristics such as low power consumption, high speed capabilities at low currents, and a circular output beam. These features have madeVCSEL an established component in digital communication networks as the optical source. In this paper, a 1550nm intra-cavity structure Vertical Cavity Surface Emitting Laser (VCSEL) has been designed using quarter nary compound material of AlGaIn Asin both QW and barrier, but with different compositions, and InP as the substrate. Lattice matching has been obtained in the layers from the substrate upto the top contact layer except the quantum well(QW) layers where small amount of compressive strain of 1.6% has been used. AlGaAsSb/AlAsSb has been used as the DBR material for achieving lattice matching with the substrate, and also for achieving higher refractive index contrast. The active material compositions have been chosen to obtain a peak gain at 1550 nm. The out come of this design is a top emitting VCSEL based on In P substrate using a different structure which is capable of producing 1550 nm light output and which can be constructed easily using widely used epitaxial techniques mixed with the MBE using digital alloy technique for the QW layers. The designed VCSEL is successfully simulated as an optical source, with an error free transmission of 70 km through a single mode optical fiber.The finalstructure of the VCSELis alsosuitablefor useinopticalICs.
Prospective Memory Impairment in Chronic Heart Failure

Abstract Although cognitive deficits are common in patients with chronic heart failure (CHF), no study to date has investigated whether these deficits extend to the capacity to execute delayed intentions (prospective memory, PM). This is a surprising omission given the critical role PM plays in correctly implementing many important CHF self-care behaviors. The present study aimed to provide the first empirical assessment of PM function in people with CHF. The key dependent measure was a laboratory measure of PM that closely simulates PM tasks in daily life – Virtual Week. A group comparison design was used, with 30 CHF patients compared to 30 demographically matched controls. Background measures assessing executive functions, working memory, and verbal memory were also administered. The CHF group exhibited significant PM impairment, with difficulties generalizing across different types of PM tasks (event, time, regular, irregular). The CHF group also had moderate deficits on several of the background cognitive measures. Given the level of impairment remained consistent even on tasks that imposed minimal demands on memory for task content, CHF-related difficulties most likely reflects problems with the prospective component. However, exploratory analyses suggest that difficulties with retrospective memory and global cognition (but not executive control), also contribute to the PM difficulties seen in this group. The implications of these data are discussed, and in particular, it is argued that problems with PM may help explain why patient engagement in CHF self-care behaviors is often poor. (JINS, 2015, 21, 1–10)
Face Recognition Based on Selective Attention and Parcone Model

In order to overcome the loss of information and uncertainties in the previous methods of face recognition,this paper proposes a face recognition method in complex scene,and it does not need feature extraction.The method first used selective attention in the whole image,and then used Adaboost to search and locate the faces in the salience region.Finally,it put all pixels of the region which may contain face into trained partially connected neural evolutionary(Parcone) module to recognize.All of the recognition process was automatically and there is no need for image preprocessing.The experiments use MIT-CBCL face database and self-build image database,and the results show that this face recognition method has good recognition rate in complex background.The method in this paper can be applied to other types of target recognition.
Rare presentation and wide intrafamilial variability of Fabry disease: A case report and review of the literature

Fabry disease (FD) is an X-linked genetic disease caused by mutations in the GLA gene, which encodes α-galactosidase A, leading to an intralysosomal accumulation of globotriaosilceramide (Gb3) in a wide variety of cells. Thus, FD usually presents with multiorgan damage: cardiac (hypertrophic cardiomyopathy), renal (chronic kidney disease, proteinuria), neurological (stroke, acroparesthesia), cutaneous (angiokeratoma), and ophthalmic (cornea verticillate) (1). Although FD is X-linked, women with specific mutations are not only carriers, as it was previously expected, but most of them develop manifestations somewhat later in life than men (2, 3), due to a mosaic inactivation of the X chromosome. It is of the utmost importance to follow the FD diagnosis with a complete family screening, which can lead to timely diagnosis in other family members. The present case report demonstrates how following the red flags of clinical suspicion for FD can lead to a correct final diagnosis in the index patient, even in case of a rare phenotypic presentation, while also highlighting the large intrafamilial variability of systemic FD manifestations.