Miracle-dz/UniFAR-FTUs huggingface dataset:
Embryonic Chicken Transplantation is a Promising Model for Studying the Invasive Behavior of Melanoma Cells

Epithelial-to-mesenchymal transition is a hallmark event in the metastatic cascade conferring invasive ability to tumor cells. There are ongoing efforts to replicate the physiological events occurring during mobilization of tumor cells in model systems. However, few systems are able to capture these complex in vivo events. The embryonic chicken transplantation model has emerged as a useful system to assess melanoma cells including functions that are relevant to the metastatic process, namely invasion and plasticity. The chicken embryo represents an accessible and economical 3-dimensional in vivo model for investigating melanoma cell invasion as it exploits the ancestral relationship between melanoma and its precursor neural crest cells. We describe a methodology that enables the interrogation of melanoma cell motility within the developing avian embryo. This model involves the injection of melanoma cells into the neural tube of chicken embryos. Melanoma cells are labeled using fluorescent tracker dye, Vybrant DiO, then cultured as hanging drops for 24 h to aggregate the cells. Groups of approximately 700 cells are placed into the neural tube of chicken embryos prior to the onset of neural crest migration at the hindbrain level (embryonic day 1.5) or trunk level (embryonic day 2.5). Chick embryos are reincubated and analyzed after 48 h for the location of melanoma cells using fluorescent microscopy on whole mounts and cross-sections of the embryos. Using this system, we compared the in vivo invasive behavior of epithelial-like and mesenchymal-like melanoma cells. We report that the developing embryonic microenvironment confers motile abilities to both types of melanoma cells. Hence, the embryonic chicken transplantation model has the potential to become a valuable tool for in vivo melanoma invasion studies. Importantly, it may provide novel insights into and reveal previously unknown mediators of the metastatic steps of invasion and dissemination in melanoma.
A Hierarchical Grid Based Framework for Fast Collision Detection

We present a novel hierarchical grid based method for fast collision detection (CD) for deformable models on GPU architecture. A two‐level grid is employed to accommodate the non‐uniform distribution of practical scene geometry. A bottom‐to‐top method is implemented to assign the triangles into the hierarchical grid without any iteration while a deferred scheme is introduced to efficiently update the data structure. To address the issue of load balancing, which greatly influences the performance in SIMD parallelism, a propagation scheme which utilizes a parallel scan and a segmented scan is presented, distributing workloads evenly across all concurrent threads. The proposed method supports both discrete collision detection (DCD) and continuous collision detection (CCD) with self‐collision. Some typical benchmarks are tested to verify the effectiveness of our method. The results highlight our speedups over prior algorithms on different commodity GPUs.
Productos de cuidado personal en el medio ambiente : presencia, destino y efectos

In this PhD. Thesis the results of eleven studies about the presence, distribution, and effects of personal care products (PCPs) in the environment are presented with the intention of giving a consolidated vision and to expand the knowledge about the subject. Through this document, the results and conclusions derived from the analysis of surface waters and wastewaters, sediments, and biota are presented. The effects of human activities and population density as the pollution source are discused. Wastewater emissions to the environment constitute the main pathway for these compounds to enter the natural environment, given that the results reported demonstrate the incomplete removal of PCPs in wastewaters treatment plants (WWTPs). Due to the substances? physico-chemical properties, a large number of PCPs can be retained in the sludge of the WWTPs. The treatment of these polluted sludges with the fungus Trametes versicolor is discussed as an alternative low-cost treatment respectful with the environment. The bioaccumulation, or presence, of PCPs in biological tissues is analysed in fish, bird eggs and samples of human origin. The results from the included studies suggest that these pollutants are metabolised in the liver, and the newly formed metabolites are partially excreted and partially retained in the different living tissues of the organisms. The potential PCPs? biomaginifaction through the food web, and mother ? foetus and mother ? newborn transfer of these pollutants are shown through the discussed studies. Additionaly to the occurrence and fate of PCPs, a special focus is placed upon the potential risk that these compounds might pose to the aquatic ecosystems. In order to investigate this subject, an ecotoxicity study through standardised bioassays for aquatic organisms consisting of single and binary substance mixtures has been included. From the obtained results, it is safe to conclude that the observed PCPs? concentrations in the discussed studies included within this PhD Thesis framework do not pose a major risk to the environment in most cases.
An Average Linear Time Algorithm For Web Usage Mining

In this paper, we study the complexity of a data mining algorithm for extracting patterns from user web navigation data that was proposed in previous work.3 The user web navigation sessions are inferred from log data and modeled as a Markov chain. The chain's higher probability trails correspond to the preferred trails on the web site. The algorithm implements a depth-first search that scans the Markov chain for the high probability trails. We show that the average behaviour of the algorithm is linear time in the number of web pages accessed.
Linköping University Post Print Optimal and Near-Optimal Spectrum Sensing of OFDM Signals in AWGN Channels

—We consider spectrum sensing of OFDM signals in an AWGN channel. For the case of completely unknown noise and signal powers, we derive a GLRT detector based on empirical second-order statistics of the received data. The proposed GLRT detector exploits the non-stationary correlation structure of the OFDM signal and does not require any knowledge of the noise power or the signal power. The GLRT detector is compared to state-of-the-art OFDM signal detectors, and shown to improve the detection performance with 5 dB SNR in relevant cases. For the case of completely known noise power and signal power, we present a brief derivation of the optimal Neyman-Pearson detector from first principles. We compare the optimal detector to the energy detector numerically, and show that the energy detector is near-optimal (within 0.2 dB SNR) when the noise variance is known. Thus, when the noise power is known, no substantial gain can be achieved by using any other detector than the energy detector.
EXMOVES: Classifier-based Features for Scalable Action Recognition

This paper introduces EXMOVES, learned exemplar-based features for efficient recognition of actions in videos. The entries in our descriptor are produced by evaluating a set of movement classifiers over spatial-temporal volumes of the input sequence. Each movement classifier is a simple exemplar-SVM trained on low-level features, i.e., an SVM learned using a single annotated positive space-time volume and a large number of unannotated videos. Our representation offers two main advantages. First, since our mid-level features are learned from individual video exemplars, they require minimal amount of supervision. Second, we show that simple linear classification models trained on our global video descriptor yield action recognition accuracy approaching the state-of-the-art but at orders of magnitude lower cost, since at test-time no sliding window is necessary and linear models are efficient to train and test. This enables scalable action recognition, i.e., efficient classification of a large number of different actions even in large video databases. We show the generality of our approach by building our mid-level descriptors from two different low-level feature representations. The accuracy and efficiency of the approach are demonstrated on several large-scale action recognition benchmarks.
Towards a Universal Sentiment Classifier in Multiple languages

Existing sentiment classifiers usually work for only one specific language, and different classification models are used in different languages. In this paper we aim to build a universal sentiment classifier with a single classification model in multiple different languages. In order to achieve this goal, we propose to learn multilingual sentiment-aware word embeddings simultaneously based only on the labeled reviews in English and unlabeled parallel data available in a few language pairs. It is not required that the parallel data exist between English and any other language, because the sentiment information can be transferred into any language via pivot languages. We present the evaluation results of our universal sentiment classifier in five languages, and the results are very promising even when the parallel data between English and the target languages are not used. Furthermore, the universal single classifier is compared with a few cross-language sentiment classifiers relying on direct parallel data between the source and target languages, and the results show that the performance of our universal sentiment classifier is very promising compared to that of different cross-language classifiers in multiple target languages.
Multidisciplinary treatment for chronic pain: a systematic review of interventions and outcomes.

OBJECTIVES To provide an overview of the effectiveness of multidisciplinary treatments of chronic pain and investigate about their differential effects on outcome in various pain conditions and of different multidisciplinary treatments, settings or durations. METHODS In this article, the authors performed a systematic review of all currently available randomized controlled trials (RCTs) fulfilling the inclusion criteria, by using a recently developed rating system aimed to assess the strength of evidence with regard to the methodological quality of the trials. RESULTS Compared with other non-disciplinary treatments, moderate evidence of higher effectiveness for multidisciplinary interventions was shown. In contrast to no treatment or standard medical treatment, strong evidence was detected in favour of multidisciplinary treatments. The evidence that comprehensive inpatient programmes were more beneficial that outpatient programmes was moderate. Fibromyalgia and chronic back pain patients tended to profit more substantially than patients with diverse origins or chronic pain diagnoses. No evidence was found that treatment variables, such as duration or programme components, were influential for the success of the intervention. CONCLUSION A standard of multidisciplinary programmes should be internationally established to guarantee generally good outcomes in the treatment of chronic pain. Our results highlight the lack of quality of design, execution or reporting of many of the RCTs included in this article. Future studies should more specifically focus on differential effects of treatment components and patient variables, allowing the identification of subgroups, which most probably would profit from multidisciplinary pain programmes.
Very Fast Containment of Scanning Worms

Computer worms - malicious, self-propagating programs - represent a significant threat to large networks. One possible defense, containment, seeks to limit a worm's spread by isolating it in a small subsection of the network. In this work we develop containment algorithms suitable for deployment in high-speed, low-cost network hardware. We show that these techniques can stop a scanning host after fewer than 10 scans with a very low false-positive rate. We also augment this approach by devising mechanisms for cooperation that enable multiple containment devices to more effectively detect and respond to an emerging infection. Finally, we discuss ways that a worm can attempt to bypass containment techniques in general, and ours in particular.
Ontology mapping: the state of the art

Ontology mapping is seen as a solution provider in today's landscape of ontology research. As the number of ontologies that are made publicly available and accessible on the Web increases steadily, so does the need for applications to use them. A single ontology is no longer enough to support the tasks envisaged by a distributed environment like the Semantic Web. Multiple ontologies need to be accessed from several applications. Mapping could provide a common layer from which several ontologies could be accessed and hence could exchange information in semantically sound manners. Developing such mappings has been the focus of a variety of works originating from diverse communities over a number of years. In this article we comprehensively review and present these works. We also provide insights on the pragmatics of ontology mapping and elaborate on a theoretical approach for defining ontology mapping.
Mobility Models for Mobile Ad Hoc Network Simulations

Delay-tolerant networks are characterized by opportunistic connectivity and long delays. A certain field of delay-tolerant networking focuses on sparsely populated ad hoc networks, where packets are routed in a store-and-forward manner. Many aspects of real world movement are not captured reliably in the simple movement models that are often used in delay-tolerant network simulations. Thus, approaches to create more realistic movement models are justified. This master's thesis presents a movement model designed using a submodel approach. The model present the everyday life of average people that go to work in the morning, spend their day at work, do some activity with their friends in the evening and finally commute back to their homes. Movement takes place on a real world map, where nodes can move along roads. In addition to walking, public transportation and cars introduce more diverse movement patterns. The model is validated by simulation and the statistical features of the model are compared to real world traces. Additional experiments are conducted to show the configurability of the model and the impact of the parameters. Again, statistical features are used for comparisons while simulation of the Epidemic routing protocol provides a ground for sensitivity analysis.Preface This Master's Thesis has been done to the Networking Laboratory of the Helsinki University of Technology, within the SINDTN project which was funded by Nokia Research Center. I thank my supervisor, Professor Jörg Ott, for all his support and for giving me the opportunity to write my thesis on such an interesting topic. I want to express my gratitude to my instructor, Dr. Jouni Karvo, for all the insightful conversations we had during the project and for all the helpful comments on my text. I would like to thank all my colleagues who have helped me with various things or provided me with knowledge in specific areas, especially: Ari Keränen, Niklas Beijar, Teemu Kärkkäinen and Tuomo Hyyryläinen. Finally, I want to thank my parents for their support during my studies and my fiancée for her patience during the most stressful times.
Statistical Modeling and Forecasting of Total Fish Production of India: A Time Series Perspective

Indian fisheries and aquaculture is an important sector of food production, providing nutritional security to the food basket, contributing to the agricultural exports and engaging about fourteen million people in different activities. With diverse resources ranging from deep seas to lakes in the mountains and more than 10% of the global biodiversity in terms of fish and shellfish species, the country has shown continuous and sustained increments in fish production since independence. The 8,000 km coastline from both inland and marine resources, 3 million hectares of reservoirs, 1.4 million hectares of brackish water, 50,600 sq. km of continental shelf area and 2.2 million sq. km of exclusive economic zone supplement India’s vast potential for fishery. Constituting of about 6.3% of the global fish production, the Indian fisheries sector contributes to 1.1% of the GDP and 5.15% of the agricultural GDP. The total fish production of 10.07 million metric International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 7 Number 03 (2018) Journal homepage: http://www.ijcmas. com
The successful CIO: integrating organizational and individual perspectives

In alignment with the SIGCPR-93 conference theme, this paper examines “what we know and don't know” about the successful CIO from both the organizational and individual perspectives. Literature on the contextual characteristics of the CIO role and the nature of the work is first reviewed, followed by literature on the individual CIO's traits, skills, and behaviors. Two themes important for future research in this area emerge. First, today's typical CIO is operating under the dual objectives of increased control and increased responsiveness, with oversight responsibilities for dispersed IS managers and functions. Second, given this increase sharing of IS responsibilities with division management, a key challenge for today's CIO is to forge partnerships with senior management and division heads in order to exert influence without direct authority. Although no empirical research on the CIO partnership role was found, publications for practitioner audiences by leaders in the MIS field are reviewed for insights on this topic. Finally, a framework for future research which integrates these organizational and individual perspectives, as well as the new dependence on partnership relationships, is proposed.
Application of the Soil and Water Assessment Tool (SWAT) to predict the impact of best management practices in Jatigede Catchment Area

Cimanuk watershed is one of the national priority watersheds for rehabilitation considering its critical condition. In this area, Jatigede Reservoir operates, which is the second largest reservoir in Indonesia, after Jatiluhur Reservoir. The reservoir performs several functions, including flood control, irrigation for 90.000 ha of rice fields, water supply of 3.500 litres per second, and power generation of 110 MW. In 2004 the Jatigede Reservoir catchment area had a critical land area of 40.875 ha (28% of the catchment area). The sedimentation rate in Cimanuk River at Eretan station shows a high rate (5.32 mm/year), which potentially decreases the function of Jatigede Reservoir. Therefore, a strategy of Best Management Practice’s (BMP’s) is required to mitigate the problem by using SWAT hydrology modelling. The aim of this study is to examine the impact of BMP’s on surface runoff and sediment yield in Jatigede Reservoir Catchment Area. Simulations were conducted using land use in 2011. The results of this study suggest that SWAT model is considered as a reasonable modelling of BMP’s simulation concerning Nash-Sutcliffe Coefficients (0.71). The simulation is using terraces, silt pit, and dam trenches as BMP’s techniques. The BMP’s application can reduce surface runoff from 99.7 mm to 75.8 mm, and decrease sediment yield from 61.9 ton/ha/year to 40.8 ton/ha/year.
Music genre classification via sparse representations of auditory temporal modulations

A robust music genre classification framework is proposed that combines the rich, psycho-physiologically grounded properties of slow temporal modulations of music recordings and the power of sparse representation-based classifiers. Linear subspace dimensionality reduction techniques are shown to play a crucial role within the framework under study. The proposed method yields a music genre classification accuracy of 91% and 93.56% on the GTZAN and the ISMIR2004 Genre dataset, respectively. Both accuracies outperform any reported accuracy ever obtained by state of the art music genre classification algorithms in the aforementioned datasets.
On the Unusual Effectiveness of Logic in Computer Science

In 1960, E. P. Wigner, a joint winner of the 1963 Nobel Prize for Physics, published a paper titled On the Unreasonable Effectiveness of Mathematics in the Natural Sciences [61]. This paper can be construed as an examination and affirmation of Galileo's tenet that “The book of nature is written in the language of mathematics”. To this effect, Wigner presented a large number of examples that demonstrate the effectiveness of mathematics in accurately describing physical phenomena. Wigner viewed these examples as illustrations of what he called the empirical law of epistemology, which asserts that the mathematical formulation of the laws of nature is both appropriate and accurate, and that mathematics is actually the correct language for formulating the laws of nature. At the same time, Wigner pointed out that the reasons for the success of mathematics in the natural sciences are not completely understood; in fact, he went as far as asserting that “… the enormous usefulness of mathematics in the natural sciences is something bordering on the mysterious and there is no rational explanation for it. ”
Spectrum Agile Medium Access Control Protocol for Wireless Sensor Networks

In this paper we describe the design, implementation and performance evaluation of a low-power spectrum agile medium access control protocol for wireless sensor networks. With the ever increasing popularity of wireless embedded devices and networks, spectrum is getting congested, which in turn leads to performance degradation. Since protocols are designed in isolation of each other without appropriate consideration for potential interferences and mechanisms for symbiotic coexistence, they fail to achieve the desired performance characteristics in realistic interfering environments. The performance degradation is more significant for low-power embedded networks as they remain handicapped when competing with less resource constrained networks. We design a protocol that allows sensor nodes to dynamically select an interference minimal channel for data communication. It does not pose any synchronization restrictions on the nodes and effectively handles the dynamics of the network such as new nodes joining and old nodes leaving the network. We describe the various energy efficient spectrum sensing features of the protocol on which the dynamic channel selection is based. Our experiments suggest that even in highly crowded spectrum and environments with random interferences, sensor nodes are able to communicate in a reliable and energy efficient manner.