Miracle-dz/UniFAR-FTUs huggingface dataset:
Biocompatibility of magnetic Fe 3 O 4 nanoparticles and their cytotoxic effect on MCF-7 cells

Background: The objective of this study was to evaluate the synthesis and biocompatibility of Fe 3 O 4 nanoparticles and investigate their therapeutic effects when combined with magnetic fluid hyperthermia on cultured MCF-7 cancer cells. Methods: Magnetic Fe 3 O 4 nanoparticles were prepared using a coprecipitation method. The appearance, structure, phase composition, functional groups, surface charge, magnetic susceptibility, and release in vitro were characterized by transmission electron microscopy, x-ray diffraction, scanning electron microscopy-energy dispersive x-ray spectroscopy, and a vibrating sample magnetometer. Blood toxicity, in vitro toxicity, and genotoxicity were investigated. Therapeutic effects were evaluated by MTT [3-(4, 5-dimethyl-2-thiazolyl)-2, 5-diphenyl-2H-tetrazolium bromide] and flow cytometry assays. Results: Transmission electron microscopy revealed that the shapes of the Fe 3 O 4 nanoparticles were approximately spherical, with diameters of about 26.1 ± 5.2 nm. Only the spinel phase was indicated in a comparison of the x-ray diffraction data with Joint Corporation of Powder Dif-fraction Standards (JCPDS) X-ray powder diffraction files. The O-to-Fe ratio of the Fe 3 O 4 was determined by scanning electron microscopy-energy dispersive x-ray spectroscopy elemental analysis, and approximated pure Fe 3 O 4 . The vibrating sample magnetometer hysteresis loop suggested that the Fe 3 O 4 nanoparticles were superparamagnetic at room temperature. MTT experiments showed that the toxicity of the material in mouse fibroblast (L-929) cell lines was between Grade 0 to Grade 1, and that the material lacked hemolysis activity. The acute toxicity (LD 50 ) was 8.39 g/kg. Micronucleus testing showed no genotoxic effects. Pathomorphology and blood biochemistry testing demonstrated that the Fe 3 O 4 nanoparticles had no effect on the main organs and blood biochemistry in a rabbit model. MTT and flow cytometry assays revealed that Fe 3 O 4 nano magnetofluid thermotherapy inhibited MCF-7 cell proliferation, and its inhibitory effect was dose-dependent according to the Fe 3 O 4 nano magnetofluid concentration. Conclusion: The Fe 3 O 4 nanoparticles prepared in this study have good biocompatibility and are suitable for further application in tumor hyperthermia.
A robust principal component analysis approach to DoS-related network anomaly detection

Many denial of service attacks target flaws and ill-specified features of network protocol designs and implementations. To most effectively mitigate such DoS attacks, a defense system should be able to detect an anomaly and attribute its root cause to the traffic protocols, features, and source associated with it. The Adaptive Resource Management Enabling Deception (ARMED) approach to these issues, described in previous work, is to push the measurement and analysis of traffic away from service endpoints - and into the network - to facilitate transparent anomaly detection of network protocols before the endpoint is affected. But what tools are available to do the heavy-lifting of analyzing traffic and pinpointing anomalies? This paper describes one such option - Robust Principal Component Analysis (RPCA). We adopted RPCA for use in an ARMED prototype to detect anomalies in real time for a variety of attack vectors. We found such an analysis can be performed within typical CPU and memory constraints of modern servers, and the anomaly detection is general enough to be able to detect both well-known attacks and, in theory, zero-day vulnerabilities in common network protocols.
Comparative Performance of Catalytic and Non-Catalytic Pyrolysis of Sugarcane Bagasse in Catatest Reactor System

Catalytic pyrolysis is a favourable process used to enhance the quality of bio-oil. Based on reviews from previous research there are only scarce of studies on the comparison of catalytic and non-catalytic pyrolysis of biomass such as rice husk, olive husk and corncob. In this study, sugarcane bagasse was selected as it has not been explored much yet. The target of this research is to compare the impact of catalytic and non-catalytic pyrolysis of sugarcane bagasse in terms of the yield, properties, and also the compositions of bio-oil. Catalytic and non-catalytic pyrolysis was executed in catatest bed reactor at temperatures 400°C to 550°C with the aids of ZSM-5 zeolite catalyst. Bio-oil from catalytic and no-catalytic pyrolysis which gives the maximum yield was used to be studied further in terms of the properties and chemical compositions. The result shows that the maximum yield of bio-oil was accomplished from catalytic pyrolysis at temperature 500°C which was 21.4%. The properties and composition of bio-oil from catalytic pyrolysis shows better result compare to non-catalytic pyrolysis.
The variability of Magellanic cluster infrared stars

ABSTRA C T We report on the light variations of the infrared stars that were discovered recently in the Magellanic clusters NGC 419, 1783 and 1978. Their periods, of 528, 458 and 491 days, are among the longest known for carbon-rich Mira variables in the Clouds. All three IR stars were found to lie on the extension of the period‐Mbol relation derived from the shorterperiod C-rich Miras while they were 0.45‐0.70 mag fainter than the extension of the period‐ MK relation. Their main sequence masses were determined by isochrone fitting to be 1.5‐ 1.6 M(, consistent with the prediction of the evolutionary models of Vassiliadis & Wood.
Discourse Topic and Gestural Form Citation

Coverbal gesture provides a channel for the visual expression of ideas. While some gestural emblems have culturally predefined forms (e.g., “thumbs up”), the relationship between gesture and meaning is, in general, not conventionalized. It is natural to ask whether such gestures can be interpreted in a speaker-independent way, or whether gestural form is determined by the speaker’s idiosyncratic view of the discourse topic. We address this question using an audiovisual dataset across multiple speakers and topics. Our analysis employs a hierarchical Bayesian author-topic model, in which gestural patterns are stochastically generated by a mixture of speaker-specific and topic-specific priors. These gestural patterns are characterized using automaticallyextracted visual features, based on spatio-temporal interest points. This framework detects significant crossspeaker patterns in gesture that are governed by the discourse topic, suggesting that even unstructured gesticulation can be interpreted across speakers. In addition, the success of this approach shows that the semantic characteristics of gesture can be detected via a lowlevel, interest point representation.
Explorer Deep Factorised Inverse-Sketching

Modelling human free-hand sketches has become topical recently, driven by practical applications such as fine-grained sketch based image retrieval (FG-SBIR). Sketches are clearly related to photo edgemaps, but a human free-hand sketch of a photo is not simply a clean rendering of that photo’s edge map. Instead there is a fundamental process of abstraction and iconic rendering, where overall geometry is warped and salient details are selectively included. In this paper we study this sketching process and attempt to invert it. We model this inversion by translating iconic free-hand sketches to contours that resemble more geometrically realistic projections of object boundaries, and separately factorise out the salient added details. This factorised re-representation makes it easier to match a free-hand sketch to a photo instance of an object. Specifically, we propose a novel unsupervised image style transfer model based on enforcing a cyclic embedding consistency constraint. A deep FG-SBIR model is then formulated to accommodate complementary discriminative detail from each factorised sketch for better matching with the corresponding photo. Our method is evaluated both qualitatively and quantitatively to demonstrate its superiority over a number of state-of-the-art alternatives for style transfer and FG-SBIR.
Research the possibilities of different filters and their application to image recognition problems

This article is devoted to the analysis from the viewpoint of accuracy allocation of contour points, and maintaining information about the distribution of non-derivative elements. In this article is researched the edge enhancement algorithms such as Prewitt, Sobel, Laplacian, Kirsch and evaluated their work, using some well-known performance measures. Also compared the efficacy of the researched algorithms, which was determined on the selected images with superimposed noise.
Whole-genome sequencing reveals a coding non-pathogenic variant tagging a non-coding pathogenic hexanucleotide repeat expansion in C 9 orf 72 as cause of amyotrophic lateral sclerosis

Department of Neurology, Department of Experimental Neurology and Laboratory for Molecular Diagnostics, Center for Human Genetics, University of Leuven, Leuven, Belgium, Leuven Institute for Neurodegenerative Disorders (LIND), Leuven, Belgium, Vesalius Research Center, VIB, Leuven, Belgium, Vesalius Research Center, KU Leuven, Leuven, Belgium, Department of Pathology and Department of Neurology, Donders Center for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Center, Nijmegen, The Netherlands and Department of Neurology, Rudolf Magnus Institute of Neuroscience, University Medical Centre Utrecht, Utrecht, The Netherlands
The Influence of Personality Traits on Life Satisfaction Through Work Engagement and Job Satisfaction among Academic Faculty Members

The aim of this study was to examine both direct and indirect associations of the personality traits of extraversion, neuroticism and conscientiousness with life satisfaction through work engagement and job satisfaction. The study population consisted of 2229 academics (57.1% men) throughout Czech public universities, who completed a questionnaire comprising measures of employee personality traits (BFI-10), work engagement (Utrecht Work Engagement Scale short form), job satisfaction (job satisfaction short scale from the COPSOQ-II) and general life satisfaction (Satisfaction With Life Scale). Structural equation modeling was used to analyze the relationships. The strongest predictor of life satisfaction was neuroticism, the effect of which manifested itself through both direct and indirect pathways. Extraversion and conscientiousness had positive indirect influences on job satisfaction through work engagement, but their direct influences on job satisfaction were negative. While extraversion also had a direct influence on life satisfaction, conscientiousness did not directly influence life satisfaction.
The Wrong Kind of Ai? Artificial Intelligence and the Future of Labor Demand

Artificial intelligence (AI) is set to influence every aspect of our lives, not least the way production is organised. AI, as a technology platform, can automate tasks previously performed by labour or create new tasks and activities in which humans can be productively employed. Recent technological change has been biased towards automation, with insufficient focus on creating new tasks where labour can be productively employed. The consequences of this choice have been stagnating labour demand, declining labour share in national income, rising inequality and lowering productivity growth. The current tendency is to develop AI in the direction of further automation, but this might mean missing out on the promise of the ‘right’ kind of AI, with better economic and social outcomes.
Microscopic characterization of damage produced by frost in cherry and apple ovaries

Additional index words. freezing damage, low temperatures, Malus sylvestris, Prunus avium Fifty long branches of 30 cm were cut with most small fruit in Fleckinger’s H and I stages (Fleckinger, 1945), taken to the laboratory and placed in beakers with a sucrose solution (5 g/100 mL) and kept at different temperatures (–2, –4, and –6 °C) controlled by digital process controller (ES100; Omron, Tokyo); 48 h after treatment, fruits were collected. A minimun of 25 samples from the previously described kinds of ovaries were evaluated. The samples evaluated had a diameter between 30–50 mm, and were fixed in FAA [(Formaldehyde (0.4 mL) : Glacial Acetic acid : Alcohol (ethanol, at 0.7 mL); 5 : 5 : 90; v/v/v] After cutting the ovary transversely (30 μm), it was stained with safranine and fast-green. The resulting preparations were studied by optical microscopy (Nikon, mod. Optiphot, Tokyo) at magnification of ×4 and ×10. At –4 oC, 80% of cherry fruit was frost damage; broken ovary tissue was observed, contrasting clearly with healthy tissues. The dehydration produced by frost appeared as radial intercellular spaces. There were also radial areas in which very intense dehydration alternated with broken tissues. Damage in laboratory test and in orchard freezes were similar. The reticular appearance of the dehydration produced by the deterioration from lack of fertilization, contrasts with the radial dehydration observed from freezing. Frost-produced dehydration and broken tissues in apple looked similar to those observed in cherry. It also was observed in the apple fruit that the most damaged area was that of the pericarp. Fig. 1 shows the comparative damage in recently formed cherry and apple fruits. In view of the above observations, we concluded that under severe frost conditions in both cherry and apple fruit, the broken ovary tissue can be observed easily under the microscope, while tissue dehydration caused by frost has a characteristic appearance distinguishable from dehydration for other reasons.
Extreme learning machine with feature mapping of kernel function

: Kernel-based extreme learning machine (KELM) solves the problem of random initialisation of extreme learning machine (ELM), and it has a faster learning speed and higher learning accuracy. However, when it comes to a scenario in which the dimensionality of kernel function mapping space is less than the number of samples, the kernel function theoretically cannot be introduced into ELM. To solve this problem, ELM with feature mapping (FM) of kernel function (FM-KELM) is proposed in this study, in which the random FM between the input layer and hidden layer of ELM is replaced with the FM of the kernel function. Moreover, the authors prove that when the regularised parameter C is close to zero, the solution of introduced kernel function is approximately equal to the correct solution. The proposed algorithm is more robust than KELM for the parameter C. Several experimental results show that the proposed algorithm in this study achieves higher classification accuracy without excessive parameter tuning, and the duration of the training and testing process is significantly reduced.
PRESERVING MEDIEVAL STRUCTURES IN ARAD COUNTY , ROMANIA : A NEW LIFE FOR OLD RUINS

Arad County, Romania, is located in a cross-border area, formed by Hungarian, Serbian and Romanian districts – the DKMT zone (Danube, Krish, Mureş and Tisa). There are numerous historical and archaeological remains across Arad County, the oldest dating from the Middle Palaeolithic. Most of them are settled in rural areas, not commonly known, not advertised and have no proper monument protection. Giving these monuments a higher profile would catalyse cultural tourism. The purpose of this study is to find viable means of rehabilitation, re-use and valorisation of this cultural heritage, through environmentalfriendly interventions on archaeological sites in certain rural areas. Our aim is to implement the innovative concept of musealisation, in order to create a complex and sustainable tourist itinerary, which combines the activity of visiting with learning and experiencing the local traditions. The historical and archaeological remains are closely linked to the evolution of the nearby village. If understood from a phenomenological perspective, these monuments create a narrative web about life standards, economy, defence, specific crafting and building technology. These tourist attractions are intended to become part of a cross-border bicycle itinerary along the Mureş River, an environmental friendly way of travel. Former multidisciplinary studies performed by architects, historians, sociologists, archaeologists, ethnologists and museum workers have contributed with their expertise to attaining important objectives of the research: conservation and valorisation of rural historical heritage of Arad County, increasing the tourist attractiveness of the county, outlining the local specificity by preserving and revitalizing local traditions and endangered handicrafts. The proposals are submitted to the Strategy for Tourist Development for Arad County, elaborated in 2011 by CADI (The Analysis for Institutional Development Centre Bucharest) and approved by the County Council. Our intention is to emphasize the opportunity represented by architectural and archaeological remains within their context, as resources for rural tourism in Arad County. S. M. Bica, M. Tămăşan
Towards Flexible Assistive Robots Using Artificial Intelligence

New generations of robotic systems capable of taking care of human-level tasks are becoming more and more desirable especially if considering the lack of human support in health-care assistance for the elderly. Assistive Robotics is a growing research field that is also applied to support both older adults and caregivers in a variety of situations and contexts. It leverages and integrates results from different research areas like e.g., Artificial Intelligence (AI), Cognitive Systems, Psychology and of course Robotics. Concerning AI, many of the technological skills that assistive robots could benefit of to achieve their objectives represent important challenges for that field. Some of the most relevant are the capability of monitoring and understanding information coming from the environment, the capability of interacting with humans in a flexible and human-compliant way, the capability of proactively performing supporting tasks inside the environment and also the capability of personalizing both interactions and services according to the specific needs of the assisted person. Thus, there are many techniques of AI that must be “integrated in a loop” to realize a needed set of advanced capabilities. This paper presents a research initiative which aims at realizing an enhanced (cognitive) control architecture to endow autonomous and socially interacting robots with a number of such advanced functionalities. Specifically, the paper presents an initial version of the envisaged control architecture, called KOaLa (Knowledge-based cOntinuous Loop) which integrates sensor data representation, knowledge reasoning and decision making functionalities.
Temperature and Bulk Composition Control on the Growth of Monazite and Zircon During Low-pressure Anatexis (Mount Stafford, Central Australia)

The formation, age and trace element composition of zircon and monazite were investigated across the prograde, low-pressure metamorphic sequence at Mount Stafford (central Australia). Three pairs of inter-layered metapelites and metapsammites were sampled in migmatites from amphibolite-facies (T 600 C) to granulite-facies conditions (T 800 C). Sensitive high-resolution ion microprobe U–Pb dating on metamorphic zircon rims and on monazite indicates that granulite-facies metamorphism occurred between 1795 and 1805Ma. The intrusion of an associated granite was coeval with metamorphism at 1802 ± 3Ma and is unlikely to be the heat source for the prograde metamorphism. Metamorphic growth of zircon started at T 750 C, well above the pelite solidus. Zircon is more abundant in the metapelites, which experienced higher degrees of partial melting compared with the associated metapsammites. In contrast, monazite growth initiated under sub-solidus prograde conditions. At granulite-facies conditions two distinct metamorphic domains were observed in monazite. Textural observations, petrology and the trace element composition of monazite and garnet provide evidence that the first metamorphic monazite domain grew prior to garnet during prograde conditions and the second in equilibrium with garnet and zircon close to the metamorphic peak. Ages from sub-solidus, prograde and peak metamorphic monazite and zircon are not distinguishable within error, indicating that heating took place in less than 20 Myr.
MEC-based UWB Indoor Tracking System

Real-time localization is the underlying requirement for providing context-aware services in the Internet of Things (IoT), Although several methods have been proposed to provide indoor localization, most of them implement the running algorithms locally in the mobile device to be located. However, the limited computational resources of mobile devices make it difficult to run complex algorithms. As an alternative, Multi-Access Edge Computing (MEC) as a promising paradigm extends the traditional cloud computing capabilities towards the edge of the network. This enables accurate location-aware services. In this work, we present an indoor tracking system based on the MEC paradigm for ultra wide band devices. Our tracking algorithms fuse machine learning-based zone prediction, Ultra Wide Band (UWB) radio ranging, inertial measurement units, and floor plan information into an enhanced particle filter. The localization process is hosted in an Edge server, which performs the resource-demanding calculation that is offloaded from the client devices. Moreover, the client devices are also equipped with certain processing power to handle sensor data processing. Our system includes also a Cloud layer, which enables data storage and data visualization for multiple clients. We evaluate our system in two complex environments. Experiment results show that our tracking system can achieve the average tracking error of 0.49 meters and 90% accuracy of 0.6 meters in real-time.
Induction of Potent Th 1-Type Immune Responses from a Novel DNA Vaccine for West Nile Virus New York Isolate ( WNV-NY 1999 )

West Nile virus (WNV) is a vectorborne pathogen that induces brain inflammation and death. Recently, confirmed cases of infection and deaths have occurred in the United States Mid-Atlantic region. In this study, a DNA vaccine encoding the WNV capsid protein was constructed, and the in vivo immune responses generated were investigated in DNA vaccine–immunized mice. Antigen-specific humoral and cellular immune responses were observed, including a potent induction of antigen-specific Th1 and cytotoxic T lymphocyte responses. Strong induction of Th1-type immune responses included high levels of antigen-specific elaboration of the Th1-type cytokines interferon-g and interleukin-2 and b-chemokines RANTES (regulated upon activation, normal T cell-expressed and secreted) and macrophage inflammatory protein–1b. Dramatic infiltration of CD4 and CD8 T cells and macrophages also was observed at the muscle injection site. These results support the potential utility of this method as a tool for developing immunization strategies for WNV and other emerging pathogens.