Miracle-dz/UniFAR-FTUs huggingface dataset:
Broadening the Agenda for Discovery Informatics

Discovery processes are central to the scientific enterprise in that they underlie the creation and extension of knowledge. This makes them a natural target for computational study, and there has been a steady stream of research on this topic for over three decades (e.g., Bradshaw, Langley, & Simon, 1983; Džeroski & Todorovski, 2007; Shrager & Langley, 1990). However, recent years have seen a growing movement in ‘data-intensive’ science that adopts some questionable assumptions and ignores some key insights from earlier efforts. This essay clarifies how these biases conflict with characteristics of scientific research and argues that discovery informatics should avoid them.
An Architecture for a Brain-Image Database

Abstract: The widespread availability of methods for noninvasive assessment of brain structure has enabled researchers to investigate neuroimaging correlates of normal aging, cerebrovascular disease, and other processes; we designate such studies as image-based clinical trials (IBCTs). We propose an architecture for a brain-image database, which integrates image processing and statistical operators, and thus supports the implementation and analysis of IBCTs. The implementation of this architecture is described and results from the analysis of image and clinical data from two IBCTs are presented. We expect that systems such as this will play a central role in the management and analysis of complex research data sets.
Study of Malware Detection Technique for Apk and SDK File Using Artificial Immune

The word wide sharply increase in the number of smartphones user, the Android platform pose to becoming a market fugleman that makes the need for malware analysis on this platform an urgent issue. The current Artificial Immune Based malware detection systems they focus on traditional computers that uses information from OS or network, but the smartphone software behavior has its own structure and semantics. Current research cannot detect malware in smartphone exactly and efficiently. To detect these problems, in this paper only study of artificial immune algorithm, capitalize on earlier approaches for dynamic analysis of application behavior as a means for detecting malware in the smartphone as like sdk or android phone as like apk. An Artificial immune based smartphone and android phone malware detection Framework is brought forwards and a prototype system is implemented, that the system can obtain higher detection rate and decrease the false positive rate.
Anti-oxidant vitamins, nitric oxide and acute phase proteins in Nigerian Cigarette Smokers

It is established that there is increased risk of developing heart disease, chronic bronchitis, emphysema, lung cancer and infections in cigarette smokers. However specific mechanisms whereby cigarette smoking causes these are not fully understood. The present study provided information to explain above observation by measuring plasma levels of caeruloplasmin, alpha-2-macroglobulin, nitric oxide (NO) and vitamins C and E in Nigerian cigarette smokers and non-cigarette smokers. The mean values of antioxidant vitamins C and E were significantly lower while NO was not significantly reduced in the smokers compared with the controls. The level of alpha-2- macroglobulin was significantly raised while caeruloplasmin was not significantly raised in smokers compared with controls. This study confirmed that inflammation is a common phenomenon in cigarette smokers and that significantly decreased levels of antioxidant vitamins C and E and raised level of caeruloplasmin might explain the development of cardiovascular diseases in cigarette smokers. (Afr. J. Biomed. Res. 11: 291 – 295) Key Words; Cigarette, Nigeria, oxidants, vitamins and acute phase reactants.
Capítulo 2 – Teorias e modelos de colaboração

Meta Apresentar teorias e modelos sobre colaboracao que fundamentam o desenvolvimento de sistemas colaborativos. Objetivos Educacionais Apos o estudo desse capitulo, voce devera ser capaz de: • Analisar o trabalho em grupo em funcao de teorias e modelos de colaboracao. • Selecionar e projetar sistemas colaborativos em funcao de teorias e modelos de colaboracao. Resumo Teorias e modelos de colaboracao fornecem uma visao sobre como e porque as pessoas trabalham em grupo. Neste capitulo discutimos as Teorias dos Jogos, a Teoria da Atividade, o Modelo 3C de Colaboracao, Padroes de Colaboracao e o Modelo de Tuckman sobre o Desenvolvimento de Grupo. As teorias e modelos nos apoiam a analisar o trabalho em grupo para que possamos selecionar e projetar sistemas colaborativos.
Microglial Activation Parallels System Degeneration in Progressive Supranuclear Palsy and Corticobasal Degeneration

The role of microglia in progressive supranuclear palsy (PSP) and corticobasal degeneration (CBD) is unknown. To address this issue we examined 10 cases of PSP, 5 cases of CBD, and 4 normal controls. Microglial and tau burdens were determined with image analysis on brain sections that had been immunostained with monoclonal antibodies to HLA-DR and phospho-tau. We found that microglial activation was greater in PSP and CBD than normal controls, and that the microglial burden correlated with the tau burden in most areas. There were distinct patterns of microglial activation and tau pathology in PSP and CBD, with PSP showing more pathology in infratentorial structures and CBD showing more pathology in supratentorial structures. These results support the notion that PSP and CBD are distinct clinicopathologic entities. Microglial activation was not well correlated with tau pathology in the brainstem of PSP, which suggests that brainstem pathology in PSP is not exclusively due to tau pathology. While the results do not necessarily support a direct causal link between microglial activation and neurodegeneration in PSP or CBD, they nevertheless suggest that microglia play a role in disease pathogenesis.
Modulation of interleukin-7 receptor expression characterizes differentiation of CD8 T cells specific for HIV, EBV and CMV

Objectives:To further understand differentiation and homeostasis of CD8 T cells specific for HIV, Epstein–Barr Virus (EBV) and cytomegalovirus (CMV) during HIV infection, we investigated interleukin-7 receptor α (IL-7Rα) expression on those virus-specific T cells. Methods:Microarrays and cytometry analyses were performed on peripheral blood mononuclear cells (PBMC), total and tetramer-binding virus-specific CD8 T cells from 66 HIV-infected patients. Results:Microarray analysis revealed reduced levels of IL-7Rα and increased levels of perforin with disease progression in total PBMC. This loss of IL-7Rα expression was observed on CD8 T cells and was inversely related to perforin expression. The relative expression of both molecules defined three new subsets: IL-7RαposPerforinneg; IL-7RαlonegPerforinlo; and IL-7RαlonegPerforinhi corresponding to naive and effector-memory CD8 differentiation, as assessed by CD45RA/CD11a. The IL-7Rα expression decreased along the CD8 differentiation pathway defined by CD27 and CD28. In contrast, IL-7Rα expression was down-modulated on all the CD8 T cells specific for HIV, EBV and CMV that were almost exclusively IL-7Rαlo/negPerforinlo and was parallel with the CD27 expression. In addition, this low IL-7Rα expression on HIV-specific CD8 T cells was independent of virus load and T-cell activation and remained stable during the first 6 months of antiretroviral therapy despite successful control of HIV replication. Conclusion:The relative expression of IL-7Rα, perforin reveals new aspects of virus-specific CD8 T cell differentiation, independently of T-cell activation and virus load. This opens new perspectives for understanding homeostasis of those cells and immune-based therapeutic strategies.
Design and integration of UWB antennas for high data rate miniature impulse radio transmitter

An ultra wide band antenna (UWB) with compact size is designed on a Roger 4003 substrate, fabricated, and tested in two different configurations (16.5*12.35 mm2 and 18.3*13.26 mm2). It achieves impedance bandwidth wider than 10 GHz (from 3.01 GHz / 3.3 GHz to more than 12 GHz). The antenna is studied for a single package solution of UWB impulse radio transceivers which integrate the pulse generator and the antenna in the same low cost device. The final devices including the feeding line have sizes of 50.7*17.7mm2 (47.3*40mm2) and transmit very high data rate.
A new electromagnetic hearing aid using lightweight coils to vibrate the ossicles

As the first stage in the development of a noninvasive electromagnetic hearing aid, we made a new transducer that generates a high-excitation force to vibrate ossicles via the tympanic membrane. This transducer consists of a core, driving and induction coils, a rare-earth magnet, and a vibrator coil. We designed the core, the driving and induction coils, and the magnet so as to generate the greatest excitation force possible when installed in the external ear canal of humans. With regard to the vibrator coil, which was attached to the center of the tympanic membrane to vibrate the ossicles, we determined its optimal mass, position, and shape both by finite-element method (FEM) analysis and by experiments using an artificial middle ear. A prototype of the optimally designed transducer can generate an excitation force of more than 95 dB sound pressure level (SPL) in terms of sound pressure at frequencies between 0.1 and 10 kHz. This result indicates that the transducer developed in this study can be used to treat patients with a hearing loss up to 70 dB hearing level (HL).
Classical swine fever and foot-and-mouth disease in Lao PDR

Approximately 75% of the population of Lao PDR is engaged in agriculture and the vast majority (approximately 90%) of these producers are in the smallholder sector. Livestock are an important contributor to national, agricultural and village economies and are relied on for food security. The pig population has increased over the past 5 years at an annual average increase of 4.7% at the national herd level and up to 20% in some provinces. Cattle and buffalo populations have grown at more modest rates of 1–2% (Figure 1). Disease, including foot-and-mouth disease (FMD) and classical swine fever (CSF), is a major constraint to efficient and sustainable livestock production. Up to 80–90% of pigs and 99% of cattle and buffalo are produced in the smallholder sector using low input practices; as such, there is limited private sector input. Disease reporting, diagnosis, control and prevention are addressed by the Lao Government through the National Department of Livestock and Fisheries (DLF) and local agriculture and forestry offices at provincial and district government levels. These activities are supported by international partners such as the Australian Centre for International Agricultural Research (ACIAR), Commonwealth Scientific and Investigation Research Organisation (CSIRO), Japanese International Cooperation Association (JICA), Food and Agriculture Organization (FAO), European Union (EU) and Office International des Epizooties (OIE). Disease reporting and communication are passive and reports are made from villages through government administrations at district and provincial levels and then to the national level—the DLF and the National Animal Health Centre (NAHC). Communication of FMD-related information at regional and international levels is coordinated by the OIE South-East Asian FMD regional coordination unit (SEAFMD RCU), where reports are submitted monthly. Disease reporting for CSF is less well coordinated and information is provided to the OIE.
VEOS in a Six Year Old Girl: Premorbid State, Onset, Course and Therapy

Schizophrenia occurring before the age of12 (Campbell eta1. 1997; Galdos eta1. 1993; Pancheri 1999) or 13 (Werry 1996) should be referred to as "very early onset schizophrenia" (VEOS). Although estimated to be 50 times less common than in adulthood (Beitchman 1985), reliable epidemiological data regarding the incidence and prevalence of VEOS are not available. According to Werry (1994, 1996) and Asamow (1994), among all cases of schizophrenia 10% are EOS (early onset schizophrenia), and according to Eggers and Klapal (1997) 0.5-1 % are VEOS starting before the age of ten. VEOS is more frequent in males, with a ratio of approximately 2 : 1 (Bettes and Walker 1987; Russell et a1. 1989; Russell 1994; Werry 1992; Werryet a1. 1994). The mean age of onset, defined as the emergence of psychotic symptoms, at age 9 with an age-range of 4. 9 to 15 (Kolvin 1971; Green et a1. 1992; Russell et a1. 1989). Although diagnosis before the age of 8 is rare, among patients studied by Eggers and Bunk (1997), the first definitely psychotic symptoms (acoustic, optic, haptic and coenesthetic hallucinations, ideas of persecution and poisoning) become manifest at the age of 7,6. Eggers (1978), and Eggers and Bunk (1997) classify "acute" onset as occurring
Two novel missense mutations of the OCTN2 gene (W283R and V446F) in a patient with primary systemic carnitine deficiency

Primary systemic carnitine deficiency (SCD) is an autosomal recessive disorder of fatty acid oxidation caused by defective cellular carnitine transport. The disease is characterized by metabolic derangement simulating Reye's syndrome, hypoglcaemia, progressive cardiomyopathy and skeletal myopathy. Recently, it was shown that SCD is caused by mutations in the organic cation/carnitine transporter OCTN2 (SLC22A5). We report two novel mutations, W283R and V446F, which are both missense mutations in an affected infant. In vitro expression studies demonstrated that both are actually function‐loss mutations with virtually no uptake activity. This is the first report of compound heterozygosity for two missense mutations in a patient with SCD. Hum Mutat 15:118, 2000. © 2000 Wiley‐Liss, Inc.
Identification of gait-related brain activity using electroencephalographic signals

Restoring normal walking abilities following the loss of them is a challenge. Importantly, there is a growing need for a better understanding of brain plasticity and the neural involvements for the initiation and control of these abilities so as to develop better rehabilitation programmes and external support devices. In this paper, we attempt to identify gait-related neural activities by decoding neural signals obtained from electroencephalography (EEG) measurements while subjects performed three types of walking: without exoskeleton (free walking), and with exoskeleton support (zero force and assisting force). An average classification accuracy of 92.0% for training and 73.8% for testing sets was achieved using features extracted from mu and beta frequency bands. Furthermore, we found that mu band features contributed significantly to the classification accuracy and were localized mainly in sensorimotor regions that are associated with the control of the exoskeleton. These findings contribute meaningful insight on the neural dynamics associated with lower limb movements and provide useful information for future developments of orthotic devices and rehabilitation programs.
Supporting Customizable Business Process Models Using Graph Transformation Rules

Business Process customization is an active research area in the process management field, dealing with variations/commonalities among processes of a given process family and runtime adaptations of single process instances. Many theoretical approaches have been suggested in the last years; however, practical implementations are rare and limited in their functionality. In this article, a new approach is proposed for capturing customizable process models based on well-known graph transformation techniques and with focus on practical aspects like definition of variation points, linking and propagation of changes, visual highlighting of differences in process variants, and dynamically selecting a specific variant at runtime. The suggested concepts are discussed within case studies, comprising different graph transformation systems for generating process variants supporting a variability by restriction, b variability by restriction and by extension, and c runtime adaptations due to the executing actor. The overall approach is being implemented in the FireStart BPM suite.
Trisomy 3 mosaicism in a live‐born infant

We report on the first case of trisomy 3 detected in the lymphocytes of a live‐born infant who died at the age of 5 months. A normal 46, XX karyotype was found in skin fibroblast cultures, which could account for the child's viability and lack of gross phenotypic malformations.
Distributed Beamforming for the Multicell Sparsely-Spread MC-CDMA Downlink

We propose a beamforming technique for the multicell downlink of a multicarrier code division multiple access (MC-CDMA) system with sparse signatures. We propose a distributed beamforming algorithm using the sum-product algorithm. The distributed beamforming algorithm converges very quickly to the centralized beamforming solution, minimizing the delay associated with computation of the transmit vector. The complexity of distributed beamforming depends on the number of base stations (BSs) that are in range of each user, not on the size of the entire network.
C-CUBE: Un nouvel opérateur d'agrégation pour les entrepôts de données en colonnes

RESUME. Les bases de donnees orientees colonnes offrent au domaine decisionnel le modele le plus approprie au stockage des entrepots de donnees. Cependant, en l’absence d’operateurs d’analyse en ligne, le seul moyen, tres couteux, qui existe pour construire des cubes OLAP consiste a utiliser l’operateur UNION sur des requetes de regroupement afin d’obtenir l’ensemble des Group By necessaires au calcul de cube OLAP1. Pour pallier ce probleme, nous proposons dans cet article un nouvel operateur d’agregation, baptise CCUBE (Columnar-CUBE), qui permet de calculer des cubes de donnees a partir d’entrepots de donnees stockes en colonnes. Nous avons implemente l’operateur C-CUBE au sein du SGBD oriente colonnes MonetDB et realise des experimentations sur le benchmark SSBM 2 (Star Schema Benchmark). Nous avons ainsi pu montrer que C-CUBE presente des temps de calcul de cubes OLAP jusqu’a 70% moins eleves compares a l’operateur CUBE d’Oracle sur un entrepot de 1To. ABSTRACT. Columnar databases are suitable for data warehouses and multidimensional data structures storage. However, Columnar DBMS have not an appropriate operator for calculating OLAP cubes. In this paper, we propose a new OLAP operator for columnar DBMS, C-CUBE, that allows to calculate OLAP data cubes from columnar oriented-data warehouses. We have then implemented C-CUBE under MonetDB DBMS and curried out some experimentations onto Star Schema Benchmark. The obtained results show that CCUBE improve the computation time of data cubes up to 70% compared to Oracle CUBE operator.
Developing a fuzzy logic based system for monitoring and early detection of residential fire based on thermistor sensors

The recent proliferation of global networking has an enormous impact on the cooperation of smart elements, of arbitrary kind and purpose that can be located anywhere and interact with each other according to the predefined protocol. Furthermore, these elements have to be intelligently orchestrated in order to support distributed sensing and/or monitoring/control of real world phenomena. That is why the Internet of Things (IoT) concept raises like a new, promising paradigm for Future Internet development. Considering that Wireless Sensor Networks (WSNs) are envisioned as integral part of arbitrary IoTs, and the potentially huge number of cooperating IoTs that are usually used in the real world phenomena monitoring and management, the reliability of individual sensor nodes and the overall network performance monitoring and improvement are definitely challenging issues. One of the most interesting real world phenomena that can be monitored by WSN is indoor or outdoor fire. The incorporation of soft computing technologies, like fuzzy logic, in sensor nodes has to be investigated in order to gain the manageable network performance monitoring/control and the maximal extension of components life cycle. Many aspects, such as routes, channel access, locating, energy efficiency, coverage, network capacity, data aggregation and Quality of Services (QoS) have been explored extensively. In this article two fuzzy logic approaches, with temporal characteristics, are proposed for monitoring and determining confidence of fire in order to optimize and reduce the number of rules that have to be checked to make the correct decisions. We assume that this reduction may lower sensor activities without relevant impact on quality of operation and extend battery life directly contributing the efficiency, robustness and cost effectiveness of sensing network. In order to get a real time verification of proposed approaches a prototype sensor web node, based on Representational State Transfer (RESTful) services, is created as an infrastructure that supports fast critical event signaling and remote access to sensor data via the Internet.
A Quasi-Type-1 Phase-Locked Loop Structure

The grid voltage phase and frequency are crucial information in control of most grid-connected power electronic-based equipment. Most often, a phase-locked loop (PLL) is employed for this purpose. A PLL is a closed-loop feedback control system that the phase of its output signal is related to the phase of its input signal. Arguably, the simplest PLL is a type-1 PLL. The type-1 PLLs are characterized by having only one integrator in their control loop and, therefore, having a high stability margin. However, they suffer from a serious drawback: They cannot achieve zero average steady-state phase error in the presence of frequency drifts. To overcome this drawback of type-1 PLLs, and at the same time, to achieve a fast dynamic response and high filtering capability, a modified PLL structure is proposed in this letter. The proposed PLL has a similar structure to a type-1 PLL, but from the control point of view is a type-2 control system. For this reason, it is called the quasi-type-1 PLL. The effectiveness of the proposed PLL is confirmed through simulation and experimental results and comparison with standard PLLs.
Does It MEK a Difference? Understanding Immune Effects of Targeted Therapy

BRAF inhibitor (BRAFi) treatment enhances antitumor immunity, but is associated with increased intratumoral PD-L1 expression. MEK inhibitors (MEKi) may alter T-cell function; however, recent studies demonstrate preserved T-cell infiltrate during treatment with BRAFi/MEKi. These data have important implications for combining BRAFi/MEKi and checkpoint blockade in the treatment of melanoma. Clin Cancer Res; 21(14); 3102–4. ©2015 AACR. See related article by Kakavand et al., p. 3140
A Novel Fuzzy C-Means Method for Hyperspectral Image Classification

In this paper, a new fuzzy clustering, namely fuzzy c-weighted mean (FCWM), is being proposed. The cost function of the classical fuzzy c-mean (FCM) is defined by the distances from data to the cluster centers with their fuzzy memberships. Another idea for estimating the cluster centers originating form the idea of weighted mean applied in nonparametric weighted feature extraction (NWFE) is introduced to established a novel FCM-like clustering algorithm in this study. The real data experimental results show that the proposing FCWM outperforms the original FCM.