Miracle-dz/UniFAR-FTUs huggingface dataset:
Big Linked Cancer Data: Integrating Linked TCGA and PubMed

The amount of bio-medical data available on the Web grows exponentially with time. The resulting large volume of data makes manual exploration very tedious. Moreover, the velocity at which this data changes and the variety of formats in which bio-medical data is published makes it diﬃcult to access them in an integrated form. Finally, the lack of an integrated vocabulary makes querying this data more diﬃcult. In this paper, we advocate the use of Linked Data to integrate, query and visualize bio-medical data. The resulting Big Linked Data allows discovering knowledge distributed across manifold sources, making it viable for the serendipitous discovery of novel knowledge. We present the concept of Big Linked Data by showing how the constant stream of new bio-medical publications can be integrated with the Linked Cancer Genome Atlas dataset (TCGA) within a virtual integration scenario. We ensure the scalability of our approach through the novel TopFed federated query engine, which we evaluate by comparing the query execution time of our system with that of FedX on Linked TCGA. Then, we show how we can harness the value hidden in the underlying integrated data by making it easier to explore through a user-friendly interface. We evaluate the usability of the interface by using the standard system usability questionnaire as well as a csutomized questionnaire designed for the users of our system. Our overall result of 77 suggests that our interface is easy to use and can thus lead to novel insights.
International Journal of Innovative Research in Computer and Communication Engineering Discovering Multi-level Association Rules Using Fuzzy Hierarchies

In this paper, Fuzzy concept hierarchies are used for multi-level association rule mining from large datasets via Attribute-Oriented Induction approach [1]. In this the process of fuzzy hierarchical induction approach is used and extends it with two new characteristics which improve applicability of the original approach in data mining. The proposed drilling-down approach of fuzzy induction model allows user to retrieve estimated explanations of the generated abstract concept. An application to discovery of multi-level association rules from environmental data stored in a Toxic Release Inventory is presented. I. INTRODUCTION The need for generalization mechanisms has been proven to be a critical factor for many data mining tasks. To efficiently analyze voluminous data sets, which are currently stored in databases of almost all companies, it is often necessary to start from pruning and reducing of the size of these repositories. Decision makers are usually not interested in time consuming extraction of technical details (i.e. serial numbers, time of transactions with precision in seconds, detailed GPS locations, etc.) stored originally in large databases. Instead, they want to obtain knowledge at a certain level of abstraction, as dictated by their professional goals or by the character of the analysed dataset. The data conceptually represent information at multiple levels. For instance, an item, represented by a bar code: 040101000 is a Milky Way Bar, which is a Chocolate Bar, pertaining to a Snack, or even a Food group, etc. Attribute-Oriented Induction (AOI) [1] allows compression of the original set of data into a generalized relation to provide data analysts with concise and summarize information about the original, massive set of task-relevant data. The AOI process employs background knowledge represented in the form of concept hierarchies, separately declared for each of the attributes in the analyzed database table. Induction of the original relation is performed one step at a time on an attribute-by-attribute basis. The method has rather straightforward character [1]: (1) Gather task-relevant data into the initial relation (2) Generalize the data by removal or generalization of derived attributes. An attribute can be removed if it has a large set of distinct values and no generalization hierarchy for the attribute is available or if the abstract concepts are reflected by other attributes in the initial relation. Attribute values can be generalized if a concept hierarchy for them has been defined. (3) Aggregate the data by merging identical tuples and accumulating their respective counts. New …
REAL-TIME HAND GESTURE RECOGNITION BASED ON SUPPORT VECTOR MACHINE WITH DEPTH SENSOR

In this article, we present a real-time hand gesture recognition system that can successfully recognize a number of gestures. Our system consist of two major part, hand detection and gesture recognition. We use Kinect sensor to capture both color and depth information, then segment out hand region with skin color model and proper distance. Then, in gesture recognition, we first try to obtain the shape representation with the contour of the hand, which is called time-series curves. The principal components analysis (PCA) is then used to reduce the dimensionality of the features of time-series curves. With the reduced features, SVM is trained to recognize the hand gestures, and the mean accuracy can achieve 93.675% with 0.208 mean running time.
An automatic footwear retrieval system for shoe marks from real crime scenes

Shoeprints found on the crime scene are useful to understand the crime dynamics. Several semi-automatic and automatic systems have already been proposed to identify the make and model of the shoe that left the mark on the crime scene, however these systems have been tested on simulated shoe marks, i.e. not coming from real crimes scene but artificially synthesized with different noise adding techniques. In this paper, we propose descriptors based on appropriate information of shoeprint pattern in the frequency domain, to retrieve the footwear that produced the shoe mark. Suitable operators, as for example the Mahalanobis distance map, are then selected and involved in the calculation of these descriptors, in order to reduce noise and enhance shoeprint textures found in real cases. In fact and differently from others, the performance test of this algorithm is done on shoe marks coming from real crime scenes, and the results are promising.
SINGLE SENSOR SOURCE SEPARATION USING MULTIPLE-WINDOW STFT REPRESENTATION 1

The aim of this paper is to investigate the use of multiplewindow Short-Time Fourier Transform (STFT) representation for single sensor source separation. We propose to iteratively split the observed signal into target sources and residuals. Each target source is modeled as the sum of elementary components with known power spectral densities (PSDs). The approach involves a non negative decomposition of the spectra of the observed mixure in a given frame into a dictionary of PSDs. The resolution of the PSDs varies at each iteration of the algorithm. The decomposition into source signals and residual signals employs a confidence measure, which is based on the Fisher information matrix of the expansion coefficients. We demonstrate the improved performance of the proposed method on mixtures of voice and music signals.
A Unified Streaming Architecture for Real Time Face Detection and Gender Classification

An integral part of interactive computing environments are systems that have the ability to process information about their users in real-time. In many cases it is desirable to not only recognize a human user but also to extract as much information about the user as possible, such as gender, ethnicity, age, etc. In this paper we present an FPGA implementation of a neural network configured specifically for performing face detection and gender classification in real-time video streams. Our streaming architecture performs the face and gender classification tasks at 30 frames per second on a small sized Virtex-4 FPGA, at accuracy comparable to that of a leading commercial software implementation.
Poster: doppler effect based device-free moving object localization

This poster introduces MoveLoc, a system that locates a moving object without carrying any devices from detecting Doppler shifts reflected off the moving object. It works even if the object walking or running in different directions without any training. MoveLoc does not require the user to carry any communication devices, yet its accuracy exceeds current moving object localization systems using Radio Signal Strength(RSS). We implement the system and evaluate the performance on moving person by experiments. Experimental result shows that MoveLoc achieves an average location accuracy of 0.69 meters and reduces the equipment deployment density compared with other known wireless moving object localization approaches using RSS.
Destriping of TDI-CCD remote sensing image

Based on the characteristic of striping noise in remote sensing images, a new destriping technique for the improved threshold function using lifting wavelet transform is presented in this letter. It can overcome the shortcoming of the hard threshold function and soft threshold function. The lifting wavelet transform is easily realized. Also it is inexpensive in computer time and storage space compared with the traditional wavelet transform. We also compare the improved threshold function with some traditional threshold functions both by visual inspection and by appropriate indexes of quality of the denoised images. Evaluations of the results based on several image quality indexes indicate that image quality has been improved after destriping. The destriped images are not only visually more plausible but also suitable for computerized analysis and it did better than the existed ones.
Tissue-specific Autophagy Alterations and Increased Tumorigenesis in Mice Deficient in Atg4C/Autophagin-3*

Atg4C/autophagin-3 is a member of a family of cysteine proteinases proposed to be involved in the processing and delipidation of the mammalian orthologues of yeast Atg8, an essential component of an ubiquitin-like modification system required for execution of autophagy. To date, the in vivo role of the different members of this family of proteinases remains unclear. To gain further insights into the functional relevance of Atg4 orthologues, we have generated mutant mice deficient in Atg4C/autophagin-3. These mice are viable and fertile and do not display any obvious abnormalities, indicating that they are able to develop the autophagic response required during the early neonatal period. However, Atg4C-/--starved mice show a decreased autophagic activity in the diaphragm as assessed by immunoblotting studies and by fluorescence microscopic analysis of samples from Atg4C-/- GFP-LC3 transgenic mice. In addition, animals deficient in Atg4C show an increased susceptibility to develop fibrosarcomas induced by chemical carcinogens. Based on these results, we propose that Atg4C is not essential for autophagy development under normal conditions but is required for a proper autophagic response under stressful conditions such as prolonged starvation. We also propose that this enzyme could play an in vivo role in events associated with tumor progression.
Lexical Access, a Search-Problem

Our work is confined to word access, that is, we present here our ideas of how to improve electronic dictionaries in order to help language producers (speaker/writer) to find the word they are looking for. Our approach is based on psychological findings (representation, storage and access of information in the human mind), observed search strategies and typical navigational behavior. If one agrees with the idea that lexical access (word finding) is basically a search problem, then one may still want to find out where and how to search. While the space, i.e. the semantic map in which search takes place is a resource problem,— any of the following could be used: dictionary, corpus, thesauraus, etc. or a mix of them,— its exploration is typically a search problem. Important as it may be, the building of a high quality resource is not the focus of this work, we rely on an existing one, and while we are concerned with its quality, we will be mostly concerned here with search methods, in order to determine the best.
Student retention and engagement in higher education

ABSTRACT This article reports on a systematic review of research into student retention and student engagement in higher education (HE). It discusses the origins and meaning of these terms, their relation to each other, their application and practice, and the issues and critiques that have arisen. The two concepts are seen as alternative ways of seeing and researching the same underlying issue. While student engagement is a more recent focus for research, it has now overtaken student retention in importance. As the responsibility for the financing of HE has shifted from the state to the student, so the understanding of student retention and engagement has shifted from being the student’s responsibility to that of the higher education institution (HEI).
Impacto do treino de força no tempo de partida em jovens nadadores

MÉTODOS Doze nadadores jovens (seis do sexo feminino, 12,5 ± 0.9 anos; 158,7±7,3cms; 48,3 ± 4,9 kg) foram divididos aleatoriamente em 2 grupos: Treino de Força (TF) e Controlo (C). Durante oito semanas, ambos os grupos realizaram o mesmo treino de água (cinco sessões semanais). Adicionalmente, o grupo TF realizou 2 sessões semanais de treino de força em seco, constituído por exercícios gerais calisténicos com periodização linear. Antes e após o processo de treino, os nadadores realizaram avaliações de força inferior através do Squat-Jump (SJ) e Countermovement Jump (CMJ) (Chronojump Bosco systems, Barcelona, Espanha) e foram registados os tempos de partida aos 5 e 15 metros. Foi aplicado o teste Mann-Whitney para comparar o impacto do treino nos dois grupos. Assumiu-se valor de significância p≤0.05.
Evaluation based combining of classifiers for monitoring honeybees

We report on an image classification task originated from the video observation of beehives. Biologists desire to have an automatic support to identify individual bees which are labelled with badges. Current state of the art in object detection and evaluation of classifiers is briefly reviewed. Different algorithms are evaluated. ROC- as well as precision-recall analysis show that a gradient based method performs best. We investigate, whether and how this superior method can be further improved. Therefore, a novel approach for combining classifiers based on an evaluation methodology is proposed. From the pool of classifiers those are selected which provide complementary information while operating with high precision and low recall. This approach shows superior performance compared to the stand-alone detectors. The suggested combination strategy is compared to other combining rules as well as to the oracle classifier.
Dendritic Spikes Are Enhanced by Cooperative Network Activity in the Intact Hippocampus

In vitro experiments suggest that dendritic fast action potentials may influence the efficacy of concurrently active synapses by enhancing Ca2+ influx into the dendrites. However, the exact circumstances leading to these effects in the intact brain are not known. We have addressed these issues by performing intracellular sharp electrode recordings from morphologically identified sites in the apical dendrites of CA1 pyramidal neurons in vivo while simultaneously monitoring extracellular population activity. The amplitude of spontaneous fast action potentials in dendrites decreased as a function of distance from the soma, suggesting that dendritic propagation of fast action potentials is strongly attenuated in vivo. Whereas the amplitude variability of somatic action potentials was very small, the amplitude of fast spikes varied substantially in distal dendrites. Large-amplitude fast spikes in dendrites occurred during population discharges of CA3–CA1 neurons concurrent with field sharp waves. The large-amplitude fast spikes were associated with bursts of smaller-amplitude action potentials and putative Ca2+ spikes. Both current pulse-evoked and spontaneously occurring Ca2+ spikes were always preceded by large-amplitude fast spikes. More spikes were observed in the dendrites during sharp waves than in the soma, suggesting that local dendritic spikes may be generated during this behaviorally relevant population pattern. Because not all dendritic spikes produce somatic action potentials, they may be functionally distinct from action potentials that signal via the axon.
Modulation of neuronal activity in the monkey putamen 3 associated with changes in the habitual order of sequential 4 movements 5 6

24 The striatum, especially its dorsolateral part, plays a major role in motor skill learning and 25 habit formation, but it is still unclear how this contribution might be mediated at the neuronal 26 level. We recorded single neurons in the posterior putamen of two monkeys performing an 27 overlearned sequence of arm reaching movements in order to examine whether task-related 28 activities are sensitive to manipulations of the serial order of stimulus-target locations. The 29 monkeys’ capacity to learn sequential regularities was assessed by comparing arm movement 30 latencies and saccadic ocular reactions when a fixed repeating sequence was replaced with a 31 random sequence. We examined neurons classified as phasically active projection neurons 32 (PANs) and tonically active presumed cholinergic interneurons (TANs). About one third of 33 the PANs (35/106, 33%) activated during specific parts of a trial displayed modulations of 34 their level of activation when the sequential structure was changed. This differential activity 35 consisted of either decreases or increases in activity without altering the time period during 36 which task-related activations occurred. In addition, half of the TANs (41/80, 51%) changed 37 their responses to task stimuli with the sequence switch, indicating that the response 38 selectivity of TANs reflects the detection of the context that requires adaptation to changes in 39 the serial order of stimulus presentations. Our findings suggest that task-related changes in 40 activity of projection neurons may be an important factor contributing to the production and 41 adjustment of sequential behavior executed in an automatic fashion, whereas putative 42 interneurons may provide a signal for performance monitoring in specific contexts. 43 44 45 46 47 48
Malaysia: People First?

On March 30, 2010, Prime Minister Najib Razak presented his new economic model (NEM) for Malaysia. With the goal of raising per capita income to over $15,000 by 2020 from the current level of $6,634, the plan included measures to improve human capital, reduce migration, and privatize inefficient government-linked corporations (GLCs). However, the most controversial part of the NEM was the dismantling of the new economic policy (NEP), an affirmative action program for native Malays that had alleviated racial tensions and reduced inter-racial income inequality over the previous 40 years though, some argued, at the cost of fostering corruption…
A review of research in meetings management: some issues and challenges.

The aim of the paper is to provide a clear overview of existing research in the field of the meetings industry in international space and to open an academic discussion on the issues of this field in Slovenia. Through the method of literature analysis, we determine the position of the meetings industry in relation to business tourism and leisure tourism, explaining the most frequent definitions of meetings and pointing to the fragmentariness of the meetings industry, recognising it as a special research challenge. The existing research on the meetings industry is focused on five basic areas (economic impact of meetings, convention site-selection process, destination marketing, convention and visitors bureau (CVB) operations, and advances in technology). We also acknowledge the emergence of a completely new question of sustainability of meetings, or the “greening” of meetings. Due to lack of research on the meetings industry in Slovenia, researchers face some issues and challenges, and the increasing importance of the activities in the tourism sector creates a gap in research that needs to be filled, starting with the need to consider the depth and breadth of research. Due to the fragmentation of the meetings industry, we first need to establish appropriate terminology and conduct an in-depth analysis of the conditions in the area of the supply and demand of meetings facilities, perform an economic evaluation of the possible impacts of meetings and analyse the decision-making factors that shape the processes of selecting convention sites. Researchers in Slovenia also need to tackle new questions such as the greening of meetings. We have no doubt that the tradition of the meetings industry in Slovenia makes it necessary for us to encourage its development with research and ensure the continuing expansion of knowledge.
Virtual screen for repurposing approved and experimental drugs for candidate inhibitors of EBOLA virus infection

The ongoing Ebola virus epidemic has presented numerous challenges with respect to control and treatment because there are no approved drugs or vaccines for the Ebola virus disease (EVD). Herein is proposed simple theoretical criterion for fast virtual screening of molecular libraries for candidate inhibitors of Ebola virus infection. We performed a repurposing screen of 6438 drugs from DrugBank using this criterion and selected 267 approved and 382 experimental drugs as candidates for treatment of EVD including 15 anti-malarial drugs and 32 antibiotics. An open source Web server allowing screening of molecular libraries for candidate drugs for treatment of EVD was also established.