Miracle-dz/UniFAR-FTUs huggingface dataset:
Sentiment Analysis with Conventional Data Mining for Predicting Share Market Values

: Proposed system aims to predict stock price movement more accurately by emulating instinctual reasoning by implementing sentiment analysis. Stock market has usually been the proving grounds for data mining applications. There is a lack of efficient models which can imitate the heuristic reasoning of humans based on current events/trends. The proposed system is an attempt to reconcile computed sentiments alongside traditional/more common data mining. Datasets consisting of historical data as well as recent headlines will be mined to predict future stock price.
UvA-DARE ( Digital Academic Repository ) CARE : Context Awareness in Residences for Elderly

In this paper we present a system that is able to monitor activities of people in a domestic environment. The application area is that of ambient assisted living . Because of the increasing number of elderly living at home and the foreseen shortage in the number of caregivers, remo te ICTbased applications will have to be developed. One o f the tasks of such systems is to monitor elderly in their abil ity to perform the activities of daily living (ADL). We developed a system consisting of a low-power, low bandwidth wir eless sensor network, incorporating simple switch sensors . As a pilot the system was installed in the apartment of an elderly lady. The data were partly annotated by the woman se lf. We developed a pattern recognition method based on probabilistic models. The detected clusters compare well with the labels of the annotation.
Oral soft tissue laser ablative and coagulative efficiencies spectra

The much praised clinical benefits and ease of use of surgical and dental lasers are enjoyed by millions of patients and by tens of thousands of physicians, dentists, and veterinarians worldwide. State-of-the-art modern-day soft tissue lasers have made many soft tissue procedures much simpler and far more enjoyable for practitioners — consider bloodless laser blepharoplasty and laser frenectomy in Figures 1 and 2. The key to the success of soft tissue lasers is their ability to cut and coagulate the soft tissue at the same time. Present work is aimed to derive the wavelength-dependent differences in photo-thermal ablation and coagulation efficiencies for oral soft tissue pulsed dental Near-IR Diode, Mid-IR Erbium and IR CO2 lasers. 1-24
Solving channel assignment problems using local search methods and simulated annealing

We solve the channel assignment problems (CAPs) with the main objective of minimizing the overall interference level while meeting the channel demand requirements. We use 3 methods, i.e., (1) local search (LS) with an acceptance ratio to re-initialize the search at a predefined threshold; (2) Simulated Annealing (SA); and (3) improve local search (ILS) with two control parameters, namely Restart (RS) and Stop (ST) thresholds. Simulation results on benchmarking CAPs show that these simple methods outperform other more complex heuristics on both the average and minimum cost solutions.
Anticipatory Effects in the FTSE 100 Index Revisions

This paper examines the price impact of trading due to expected changes in the FTSE 100 index composition, which employs publicly-known objective criteria to determine membership. Hence, it provides a natural context to investigate anticipatory trading effects. We propose a panel-regression event study that backs out these anticipatory effects by looking at the price impact of the ex-ante probability of changing index membership status. Our findings reveal that anticipative trading explains about 40% and 23% of the cumulative abnormal returns of additions and deletions, respectively. The results are both statistically and economically significant.
Loughborough University Institutional Repository Hamiltonian operators of Dubrovin-Novikov type in 2 D

First order Hamiltonian operators of differential-geometric type were introduced by Dubrovin and Novikov in 1983, and thoroughly investigated by Mokhov. In 2D, they are generated by a pair of compatible flat metrics g and g̃ which satisfy a set of additional constraints coming from the skew-symmetry condition and the Jacobi identity. We demonstrate that these constraints are equivalent to the requirement that g̃ is a linear Killing tensor of g with zero Nijenhuis torsion. This allowed us to obtain a complete classification of ncomponent operators with n ≤ 4 (for n = 1, 2 this was done before). For 2D operators the Darboux theorem does not hold: the operator may not be reducible to constant coefficient form. All interesting (non-constant) examples correspond to the case when the flat pencil g, g̃ is not semisimple, that is, the affinor g̃g−1 has non-trivial Jordan block structure. In the case of a direct sum of Jordan blocks with distinct eigenvalues we obtain a complete classification of Hamiltonian operators for any number of components n, revealing a remarkable correspondence with the class of trivial Frobenius manifolds modelled on H∗(CPn−1). MSC: 37K05, 37K10, 37K25, 53D45.
Magic Quadrant for Content-Aware Data Loss Prevention

Gartner defines content-aware DLP technologies as those that perform content inspection of data at rest or in motion, and can execute responses — ranging from simple notification to active blocking — based on policy settings. To be considered for this Magic Quadrant, products must support sophisticated detection techniques that extend beyond simple keyword matching and regular expressions, and must be considered enterprise DLP solutions, as described below.
PII : SOlSO-7383 ( 96 ) 00081-3 MOTIVES OF VISITORS ATTENDING FESTIVAL EVENTS

The escape-seeking dichotomy and the push-pull factors conceptual frameworks were used to identify motives which stimulated visitors to go to events at a festival. These two frameworks were used to guide development of an instrument to measure motives. The sample participated in events that were classified into one of five categories. The extent to which the perceived relevance of motives changed across different types of events was assessed. Six motive domains emerged: cultural exploration, novelty/regression, recover equilibrium, known group socialization, external interaction/socialization, and gregariousness. These were broadly consistent with the guiding push factors framework and confirmed the utility of the escape-seeking dichotomy.
Augmented Reality Talking Heads as a Support for Speech Perception and Production

Visual face gestures, such as lip, head and eyebrow movements, are important in all human speech communication as a support to the acoustic signal. This is true even if the speaker’s face is computer-animated. The visual information about the phonemes, i.e. speech sounds, results in better speech perception (Benoit et al., 1994; Massaro, 1998) and the benefit is all the greater if the acoustic signal is degraded by noise (Benoit & LeGoff, 1998; Sumby & Pollack, 1954) or a hearing-impairment (Agelfors et al., 1998; Summerfield, 1979).
Tuning the electromagnetic local density of states in graphene-covered systems via strong coupling with graphene plasmons

It is known that the near-field spectrum of the local density of states of the electromagnetic field above a SiC-air interface displays an intense narrow peak due to the presence of a surface polariton. It has been recently shown that this surface wave can be strongly coupled with the sheet plasmon of graphene in graphene-SiC heterosystems. Here, we explore the interplay between these two phenomena and demonstrate that the spectrum of the electromagnetic local density of states in these systems presents two peaks whose positions depend dramatically both on the distance to the interface and on the chemical potential of graphene. This paves the way toward active control of the local density of states.
Unconventional rf photoresponse from a superconducting spiral resonator

Superconducting thin film resonators employing strip geometries show great promise in rf/microwave applications due to their low loss and compact nature. However, their functionality is limited by nonlinear effects at elevated rf/microwave powers. Here, we show that by using a planar spiral geometry carrying parallel currents in adjacent turns, this limitation can be minimized. We investigate the rf current distributions in spiral resonators implemented with Nb thin films via laser scanning microscopy. The rf current density profile along the width of the individual turns of the resonators reveals an unconventional trend: maximum current in the middle of the structure and decaying toward its edges. This unusual behavior is associated with the circular nature of the geometry and the cancellation of magnetic field between the turns, which is favorable for handling high powers since it allows the linear characteristics to persist at high rf current densities.
When climate projections return : Unusual insights for German rivers from a climate impact study for Beijings Guanting region

From Potsdam into Beijings Guanting Region The possible characteristics of regional climate change and how this will affect the water balance of the German capital Berlin and its surrounding basins drained by the eastern German rivers Havel, Spree and Elbe have been of interest since the first days of the Potsdam Institute for Climate Impact Research (PIK) (Gerstengarbe et al. 2003; Wechsung et al. 2005).
Post-Traumatic stress disorder (PTSD) is a disabling condition typically characterized by the re-experiencing of the traumatic event; voluntary avoidance of stimuli associated with the event; and increased physiological arousal for at least one month from the event (American Psychiatric Association,

Chronic and life-threatening neurodegenerative diseases may be associated with Posttraumatic stress disorder (PTSD). We investigated the prevalence of PTSD in Multiple Sclerosis (MS) patients, and then we identified significant determinants of PTSD. Two hundred thirty-two MS patients were consecutively recruited and screened for the presence of PTSD with the Impact of Event Scale-Revised (IES-R), corroborated by the Structured Clinical Interview for DSM-IV. Furthermore, participants were administered the Hospital Anxiety and Depression Scale and the Fatigue Severity Scale. Twelve patients (12/232, i.e. 5.17%) were diagnosed as suffering from PTSD. The levels of education, anxiety and depression were significant determinants of the presence of PTSD. The roles played by the levels of education, anxiety and depression in determining the presence of PTSD has been highlighted. Further research on the psychological features of neurodegenerative diseases are urgently needed in order to plan appropriate treatments and improve patients’ quality of life.
Have New England heat waves been influenced by forest cover trends

In the late 1700s, as the population of southern New England began to grow, large numbers of trees were cut down for building, heating and cooking, and to provide room for agriculture and livestock grazing. Figure 1, taken from Hall et al. (2002) shows the overall trend in forest cover over the last 200 years in Massachusetts. By 1880, forest cover had dropped to less than 50% of what it had been in the middle 1700s. Beginning in the early 1900s, as reliance on wood diminished, forest cover began to recover, reaching early 1700s levels by 1980.
BANDWIDTH ENHANCEMENT OF MICROSTRIP LINE AND CPW-FED ASYMMETRICAL SLOT ANTENNAS

In this paper, a bandwidth enhancement technique of asymmetrical slot antenna with two difierent excitation methods is presented. One method of excitation is the microstrip line feed, and the other is the coplanar waveguide feed. The rectangular slot excited by microstrip line feed gives an impedance bandwidth of 14.76% (jS11j < i10dB). When the rectangular slot is excited by a coplanar waveguide (CPW), it gives an impedance bandwidth of 26.61%. Both impedance and radiation characteristics of these antennas are studied.
Renormalization of the Hutchinson Operator

One of the easiest and common ways of generating fractal sets in $\mathbb{R}^D$ is as attractors of affine iterated function systems (IFS). The classic theory of IFS's requires that they are made with contractive functions. In this paper, we relax this hypothesis considering a new operator $H_\rho$ obtained by renormalizing the usual Hutchinson operator $H$. Namely, the $H_\rho$-orbit of a given compact set $K_0$ is built from the original sequence $(H^n(K_0))_n$ by rescaling each set by its distance from $0$. We state several results for the convergence of these orbits and give a geometrical description of the corresponding limit sets. In particular, it provides a way to construct some eigensets for $H$. Our strategy to tackle the problem is to link these new sequences to some classic ones but it will depend on whether the IFS is strictly linear or not. We illustrate the different results with various detailed examples. Finally, we discuss some possible generalizations.
Two critical issues in Langevin simulation of gas flows

A stochastic algorithm based on the Langevin equation has been recently proposed to simulate rarefied gas flows. Compared with the direct simulation Monte Carlo (DSMC) method, the Langevin method is more efficient in simulating small Knudsen number flows. While it is well-known that the cell sizes and time steps should be smaller than the mean free path and the mean collision time, respectively, in DSMC simulations, the Langevin equation uses a drift term and a diffusion term to describe molecule movements, so no direct molecular collisions have to be modeled. This enables the Langevin simulation to proceed with a much larger time step than that in the DSMC method. Two critical issues in Langevin simulation are addressed in this paper. The first issue is how to reproduce the transport properties as that described by kinetic theory. Transport coefficients predicted by Langevin equation are obtained by using Green-Kubo formulae. The second issue is numerical scheme with boundary conditions. We present two schemes corresponding to small time step and large time step, respectively. For small time step, the scheme is similar to DSMC method as the update of positions and velocities are uncoupled; for large time step, we present an analytical solution of the hitting time, which is the crucial factor for accurate simulation. Velocity-Couette flow, thermal-Couette flow, Rayleigh-Benard flow and wall-confined problem are simulated by using these two schemes. Our study shows that Langevin simulation is a promising tool to investigate small Knudsen number flows.
Targeting Mitophagy in Combined Therapies of Haematological Malignancies

Mitophagy is a selective form of autophagy that eliminates mitochondria and is part of a larger network of mitochondrial quality control processes that respond to mitochon‐ drial damage. Treatment of haematological malignancies often involves drugs that ultimately cause cell death by mitochondrial injury and initiation of apoptosis. Thus, mitophagy is a potential cause of resistance to anticancer drugs that target the mitochondria (mitocans). Since mitophagy is integrated to mitochondrial biogenesis, mitochondrial fission and fusion, the bioenergetics profile and metabolic reprogram‐ ming of tumour cells, the blockage of mitophagy may not be sufficient to overcome resistance. In addition, the mitochondrial unfolded protein response and the outer mitochondrial membrane‐associated degradation have extensive crosstalk with mitophagy, and advanced forms of neoplasms will require targeting both systems. Proteasome inhibitors and vinca alkaloids target many of the critical steps involved in resistance to mitocans, while inducers of mitochondrial turnover (biogenesis and mitophagy) like valproic acid have a variable effect depending on metabolic reprog‐ raming and the activity of oxidative phosphorylation of tumour cells. Here we discuss the mechanisms of mitophagy and its associated mechanisms, and discuss its applica‐ tion to the rationale of targeted combined therapies of low‐ and high‐grade B‐cell neoplasms. We review how mitophagy is integrated to mitochondrial quality control (QC), mitochon‐ drial turnover and mitochondrial dynamics, and we discuss the interdependency with the bioenergetics profile of the cell. This knowledge will be further considered to discuss its im‐ plication in resistance to treatment of haematological malignancies, and how combined therapies can be selected to target mitophagy, mitochondrial biogenesis and compensating mechanisms of resistance that involve the ubiquitin proteasome system (UPS), particularly in the most aggressive forms of lymphomas. We discuss the use of drugs already in clinical use that may be potentially combined based on their recognized effects on mitophagy, au‐ tophagy and mitochondrial biogenesis. We finally discuss methods that can help determine the status of resistance mechanisms based on mitophagy in lymphoma cells obtained from patients.
Three-dimensional quantum-optical input-output relations for arbitrary planar dielectrics

We present a three-dimensional quantum theory of light scattering, absorption, and emission in arbitrary planar dielectric systems. The theory is based on a scheme for quantization of the electromagnetic field in dispersive and lossy arbitrary planar dielectrics that takes explicitly into account the finite extent of the medium. We present general quantum-optical input–output relations of the output TE and TM photon operators to the corresponding input photon operators and to the reservoir noise operators. These three-dimensional input–output relations are uniquely determined by knowledge of the classical light modes of the planar dielectric structure.
Setting Targets In An Asset Management Performance Measurement Framework

All asset-intensive organisations have some sort of asset performance targets in place. How legitimate are these targets? Are they achievable given the resources and span of the control of the manager responsible? Are they fair? Is it clear how targets for asset performance measures should be set? Drawing on performance measurement literature and current practice, we identify factors to be considered in setting targets for asset performance metrics. The resulting framework comprises four steps: 1) the identification of factors influencing the performance metric, 2) the identification of interventions within the control of the asset manager that could influence the metric, 3) data collection and statistical analysis to identify the influence of these interventions, 4) simulation of future performance of the metric to establish targets or ranges of acceptable performance. The framework is illustrated using an asset performance metric, pipe blockages, for asset managers of regional waste water assets. Findings are: 1) target setting involves a deep understanding of what influences the metric, and this requires data collection, cleaning and validation, as well as liaison with experts, 2) the importance of establishing how the metric can be influenced by factors beyond the immediate control of the asset manager, this affects its legitimacy, and 3) the opportunity presented by simulation to provide target ranges appropriate for the variability in many asset performance metrics. The absence of expected relationships raises questions about the appropriateness of the metric, the effectiveness of the work and/or the data quality. Asset managers should be careful setting targets to asset performance measures. The process developed in this paper can be used to inform target setting activities.
An improved causal consistency mechanism for geo-replicated data stores

Reliable distributed data stores are an important pillar of today’s large-scale online systems. In order to accommodate the strict requirements imposed, careful trade-offs between consistency, availability and partition tolerance are made. Often data stores that employ a weaker consistency model, but have higher availability guarantees, are used to provide an ”alwayson” experience. However, this can expose the user to potential inconsistencies, the mitigation of which requires more complex application logic and tweaking. This paper presents a new causal consistency mechanism for key-value data stores that achieves performance and availability comparable to ones using eventual consistency. The idea is to preserve the virtues of strongly consistent storage services [1], while supporting incremental scalability and being highly decentralized and heterogeneous [2]. The work builds upon the design of Lloyd et al. [3], achieving near linear scalability with respect to the number of servers used per datacenter.
Investigation of Fluorescence Coherence Tomography for Optofluidic Applications

Conventional flow cytometers (FCs) and fluorescence-activated-cell-sorters (FACS) are mechanically complex, bulky, and require specialized human operators, large sample volumes, and sample preparation procedures for proper diagnosis of diseases such as leukemia and malaria [1], [2]. For this reason, there has been an increasing demand for miniaturization, reduction of cost and portability of such devices. Lab-on-a-chip devices, which integrate microfluidics with other technologies, have been emerging as a potential solution to miniaturization of FC/FACS technology [3], [4]. One of the serious limitations of lab-on-a-chip devices is their inability to extract shape or morphological information which is very useful for cell differentiation and characterization [5], [6]. To meet this challenge, optical imaging techniques and microfluidics are combined to form a subset field in „optofluidics‟ [7], [8].
GENETIC ALGORITHMS APPLIED IN PARAMETERS DETERMINATION OF THE 3 D CRANE MODEL UDC 004 . 424 . 521

This paper considers the implementation of the genetic algorithms in determine parameters of model 3D Crane system, defined by highly nonlinear mathematical model. The validation of the model and parameters are performed by digital simulation and comparison with the experimental results. Proposed method for determining parameters of the model has many advantages, such as satisfactory control performance under a wide range of operating conditions, reducing fluctuations during the positioning of payload cart.
The problem of fuzzy duplicate detection of large texts

In the paper, considered the problem of fuzzy duplicate detection. There are given the basic approaches to detection of text duplicates–distance between strings, fuzzy search algorithms without indexing data, fuzzy search algorithms with indexing data. Thereview of existing methods for the fuzzy duplicate detection is given. The algorithm of fuzzy duplicate detection is present. The algorithm of fuzzy duplicate texts detection was implemented in the system AVTOR.NET. The paper presents the results of testing of the system.The use of filtering text, stemming and character replacement, allow the algorithm to found duplicates even in minor modified texts.