Miracle-dz/UniFAR-FTUs huggingface dataset:
Robustness of Support Vector Machines in Algorithmic Trading on Cryptocurrency Market

Abstract This study investigates the profitability of an algorithmic trading strategy based on training SVM model to identify cryptocurrencies with high or low predicted returns. A tail set is defined to be a group of coins whose volatility-adjusted returns are in the highest or the lowest quintile. Each cryptocurrency is represented by a set of six technical features. SVM is trained on historical tail sets and tested on the current data. The classifier is chosen to be a nonlinear support vector machine. The portfolio is formed by ranking coins using the SVM output. The highest ranked coins are used for long positions to be included in the portfolio for one reallocation period. The following metrics were used to estimate the portfolio profitability: %ARC (the annualized rate of change), %ASD (the annualized standard deviation of daily returns), MDD (the maximum drawdown coefficient), IR1, IR2 (the information ratio coefficients). The performance of the SVM portfolio is compared to the performance of the four benchmark strategies based on the values of the information ratio coefficient IR1, which quantifies the risk-weighted gain. The question of how sensitive the portfolio performance is to the parameters set in the SVM model is also addressed in this study.
LTE UE Power Consumption Model: For System Level Energy and Performance Optimization

In this work a novel LTE user equipment (UE) power consumption model is presented. It was developed for LTE system level optimization, because it is important to understand how network settings like scheduling of resources and transmit power control affect the UE's battery life. The proposed model is based on a review of the major power consuming parts in an LTE UE radio modem. The model includes functions of UL and DL power and data rate. Measurements on a commercial LTE USB dongle were used to assign realistic power consumption values to each model parameter. Verification measurements on the dongle show that the model results in an average error of 2.6 %. The measurements show that UL transmit power and DL data rate determines the overall power consumption, while UL data rate and DL receive power have smaller impact.
History of Depressive Disorder

age when dementia is uncommon. In two studies, when the authors' rates of severe and moderate dementia are added together, the rates increase to 5.3% and 7.7%, the latter being higher than any other rate in the Table. In the study by Maule et a! (1984) the rate of severe + moderate dementia is only 2.9%, but the overall rate is 8.6%, which is higher than the overall Newcastle rate of 6.2%. This leaves only the Londonâ€”NewYork cross national study of Gurland et a! (1983), in which the London rate of 2.5% compares with the New York rate of 5.8%, a striking difference for which there is no ready explanation; but as the authors point out, replication is needed. Finally, in the overall preva lence Table, the Melton Mowbray survey rate of 4.5% in a population aged 75+ is lower than expected (Clarke et a! , 1986), but is based on one brief questionnaire. There seems to be no good reason to think that dementia among the elderly at home is appreciably rarer than the Newcastle rates of 5â€”6%; in Newcastle, institutions added less than 1% to the rate, but the ratio of cases at home and in institutions will vary. In Finland, for instance, severe dementia is found in 3.8% of people aged 65 + at home and in 6.7% when institutions are included (Sulkava et a! , 1985). The problem is that in the community the range of cognitive impairment is wide and degrees of severity are not yet adequately defined. In fact, Kay elsewhere (Kay, 1972) reported the Newcastle rates as 6.2% (â€ ̃severe')and 2.6% (â€ ̃mild'). This just goes to show the state of confusion the grading of dementia is in.
Identification of drm, a novel gene whose expression is suppressed in transformed cells and which can inhibit growth of normal but not transformed cells in culture

Using differential display analysis, we compared the expression of RNA in v-mos-transformed cells and their flat revertant and isolated a novel gene, drm (down-regulated in mos-transformed cells), whose expression is down-regulated in parental v-mos-transformed cells but which is expressed at a high level in the revertant and normal rat fibroblasts (REF-1 cells). Analysis of different oncogene-transformed cells revealed that drm gene expression was also suppressed in REF-1 cells transformed by v-ras, v-src, v-raf, and v-fos. The drm cDNA contains a 184-amino-acid-protein-encoding open reading frame which shows no significant homologies to known genes in DNA databases. Polyclonal antibodies raised against drm peptide detect a protein with the predicted size of 20.7 kDa in normal cells and under nonpermissive conditions in cells conditionally transformed by v-mos but not in parental v-mos-transformed cells. Northern analysis of normal adult tissues shows that drm is expressed as a 4.4-kb message in a tissue-specific manner, with high expression in the brain, spleen, kidney, and testis and little or no expression in the heart, liver, and skeletal muscle. In situ hybridization analysis in adult rat tissue reveals good correlation with this pattern and indicates that drm mRNA is most highly expressed in nondividing and terminally differentiated cells, such as neurons, type 1 lung cells, and goblet cells. Transfection of a drug-selectable drm expression vector dramatically reduced the efficiency of colony formation in REF-1 and CHO cells, and the drm-transfected REF-1 survivors expressed low or nondetectable levels of exogenous drm mRNA. The toxic effects of drm can be overcome by cotransfection with constructs expressing oncogenic ras; furthermore, cells expressing high levels of drm and conditionally transformed with mos-expressing Moloney murine sarcoma virus rapidly undergo apoptosis when shifted to the nonpermissive temperature. Taken together, our data suggest that cells expressing high levels of drm undergo apoptotic death in the absence of oncogene-induced transformation and that drm represents a novel gene with potential roles in cell growth control or viability and tissue-specific differentiation.
Directed Evolution Reveals the Binding Motif Preference of the LC8/DYNLL Hub Protein and Predicts Large Numbers of Novel Binders in the Human Proteome

LC8 dynein light chain (DYNLL) is a eukaryotic hub protein that is thought to function as a dimerization engine. Its interacting partners are involved in a wide range of cellular functions. In its dozens of hitherto identified binding partners DYNLL binds to a linear peptide segment. The known segments define a loosely characterized binding motif: [D/S]-4K-3X-2[T/V/I]-1Q0[T/V]1[D/E]2. The motifs are localized in disordered segments of the DYNLL-binding proteins and are often flanked by coiled coil or other potential dimerization domains. Based on a directed evolution approach, here we provide the first quantitative characterization of the binding preference of the DYNLL binding site. We displayed on M13 phage a naïve peptide library with seven fully randomized positions around a fixed, naturally conserved glutamine. The peptides were presented in a bivalent manner fused to a leucine zipper mimicking the natural dimer to dimer binding stoichiometry of DYNLL-partner complexes. The phage-selected consensus sequence V-5S-4R-3G-2T-1Q0T1E2 resembles the natural one, but is extended by an additional N-terminal valine, which increases the affinity of the monomeric peptide twentyfold. Leu-zipper dimerization increases the affinity into the subnanomolar range. By comparing crystal structures of an SRGTQTE-DYNLL and a dimeric VSRGTQTE-DYNLL complex we find that the affinity enhancing valine is accommodated in a binding pocket on DYNLL. Based on the in vitro evolved sequence pattern we predict a large number of novel DYNLL binding partners in the human proteome. Among these EML3, a microtubule-binding protein involved in mitosis contains an exact match of the phage-evolved consensus and binds to DYNLL with nanomolar affinity. These results significantly widen the scope of the human interactome around DYNLL and will certainly shed more light on the biological functions and organizing role of DYNLL in the human and other eukaryotic interactomes.
How do animal territories form and change? Lessons from 20 years of mechanistic modelling

Territory formation is ubiquitous throughout the animal kingdom. At the individual level, various behaviours attempt to exclude conspecifics from regions of space. At the population level, animals often segregate into distinct territorial areas. Consequently, it should be possible to derive territorial patterns from the underlying behavioural processes of animal movements and interactions. Such derivations are an important element in the development of an ecological theory that can predict the effects of changing conditions on territorial populations. Here, we review the approaches developed over the past 20 years or so, which go under the umbrella of ‘mechanistic territorial models’. We detail the two main strands to this research: partial differential equations and individual-based approaches, showing what each has offered to our understanding of territoriality and how they can be unified. We explain how they are related to other approaches to studying territories and home ranges, and point towards possible future directions.
Quick response data mining model using genetic algorithm

Propose an efficient data mining system for making quick response to users and providing a friendly interface. When data tuples have higher relationship, it could contain long frequent itemsets. If apriori algorithm mines all frequent itemsets in those tuples, its candidate itemsets will become very huge and it has to scan database huge times. Meanwhile, the number of rules mined by the apriori algorithm is huge. Our method avoids mining rules through huge candidate itemsets, just mines maximal frequent itemsets and scans the database for the frequent itemsets users are interested in. First, use GA to mine the maximal frequent itemsets and show them to users. Second, let users pick up one to deduce the association rules. Final, scan the database for the real support and confidence and show them to users. So, our method can not only save many times scanning the database and make quick response to users, but provide a friendly interface that let users select his interesting rules to mine.
WEB-CASRE: A WEB-BASED TOOL FOR SOFTWARE RELIABILITY MODELING

CASRE (Computer-Aided Software Reliability Estimation) is a software tool for software reliability measurement and evaluation. With systematic and comprehensive modeling schemes shrink-wrapped with a user-friendly interface, CASRE has drawn a signiﬁcant attention as a project management tool for automatic software reliability measurement. CASRE was originally designed as a stand-alone tool running on Windows. Due to the popularity of the World Wide Web, many users demand that software tools be brought up and made available in the Web. There are challenging problems we have to solve to meet this demand. This paper discusses the architectural issues and technical decisions involved in porting a stand-alone tool so that it can run on the Web interactively. We examine the general architectures required for Web-based tools, and present our experience in bringing CASRE into the presence of the Web. The resulting software, called Web-CASRE, takes advantage of the Tcl/Tk Web browser plugin to download a Tcl script for its front-end user interface, while communicating with its back-end model solvers. The design decisions regarding communications protocol, security policy, data storage, and consistent computation environment are also discussed in this paper.
1 OBJECT CLASSIFICATION AND THE DETERMINATION OF STELLAR PARAMETERS

Gaia will observe more than one billion objects brighter than , including stars, asteroids, galaxies and quasars. As Gaia performs real time detection (i.e. without an input catalogue) the intrinsic properties of most of these objects will not be known a priori. An integral part of the Gaia data processing is therefore to classify everything observed. This will be based primarily on multiband photometry provided by Gaia, but should also make optimal use of the high resolution spectroscopy (for brighter stars) and the parallaxes. In addition to a broad classification, we can also determine fundamental stellar parameters, in particular effective temperature, metallicity and the line-of-sight interstellar extinction. Such information will be essential for fully exploiting the astrometric part of the Gaia catalogue for stellar population studies. However, extracting this information is a significant challenge, and will need to make use of appropriate multidimensional data analysis techniques. I outline some of the problems and the strategies being developed to tackle them.
Electron-pinned defect-dipoles for SrTiO3-based ceramics with high permittivity and low dielectric loss

Sr(Nb<sub>0.5</sub>Al<sub>0.5</sub>)<sub>x</sub>Ti<sub>1-x</sub>O<sub>3</sub> (x=0, 0.02, 0.04, 0.06) ceramics were obtained via solid-state reaction method and sintering in air at 1540°C. The grain size of SrTiO<sub>3</sub> ceramics decreased with Nb<sub>2</sub>O<sub>5</sub> and Al<sub>2</sub>O<sub>3</sub> doping content. Sr(Nb<sub>0.5</sub>Al<sub>0.5</sub>)<sub>x</sub>Ti<sub>1-x</sub>O<sub>3</sub> ceramics exhibit a giant permittivity of about 10500 and low dielectric loss of 0.03 measured at room temperature and 1kHz. According to the XRD, XPS, and ac conductivity analysis, this excellent dielectric behaviors of Sr(Nb<sub>0.5</sub>Al<sub>0.5</sub>)<sub>x</sub>Ti<sub>1-x</sub>O<sub>3</sub> ceramics would originate the bond[Ti<sup>4+</sup>·e-V<sub>O</sub><sup>. </sup>-Ti<sup>4+</sup>·e], in which the electrons were bound by Ti<sup>4+</sup> and V<sub>O</sub><sup>. </sup> leading to low dielectric loss. Compared with SrNb<sub>0.01</sub>Ti<sub>0.99</sub>O<sub>3</sub> and In addition, SNAT ceramics were also sintered in oxygen atmosphere and nitrogen atmosphere to verify the existence of [Ti<sup>4+</sup>·e-V<sub>O</sub><sup>. </sup>-Ti<sup>4+</sup>·e].
Differential Phasing between Circadian Clocks in the Brain and Peripheral Organs in Humans

The daily timing of mammalian physiology is coordinated by circadian clocks throughout the body. Although measurements of clock gene expression indicate that these clocks in mice are normally in phase with each other, the situation in humans remains unclear. We used publicly available data from five studies, comprising over 1000 samples, to compare the phasing of circadian gene expression in human brain and human blood. Surprisingly, after controlling for age, clock gene expression in brain was phase-delayed by ~8.5 h relative to that of blood. We then examined clock gene expression in two additional human organs and in organs from nine other mammalian species, as well as in the suprachiasmatic nucleus (SCN). In most tissues outside the SCN, the expression of clock gene orthologs showed a phase difference of ~12 h between diurnal and nocturnal species. The exception to this pattern was human brain, whose phasing resembled that of the SCN. Our results highlight the value of a multi-tissue, multi-species meta-analysis, and have implications for our understanding of the human circadian system.
Estimating the number of defectives with group testing

Estimating the number of defective elements of a set has various biological applications including estimating the prevalence of a disease or disorder. Group testing has been shown to be more efficient than scrutinizing each element separately for defectiveness. In group testing, we query a subset of elements and the result of the query will be defective if the subset contains at least one defective element. We present an adaptive, randomized group-testing algorithm to estimate the number of defective elements with near-optimal number of queries. Our algorithm uses at most 2 log log d + O(1/δ2 log 1/ε) queries and estimates the number of defective elements d up to a multiplicative factor of 1 ± δ, with error probability ≤ ε. Also, we show an information-theoretic lower bound (1 - ε) log log d - 1 on the necessary number of queries any adaptive algorithm makes to estimate the number of defective elements for constant δ.
Personal Authentication System using Barcode generated by Fingerprint

Barcode is most widely used method of identifying the product code of any object. It is universally accepted as fastest and cheapest method in product identification. It encodes a series of characters and symbols which carries both explicit information and database key. This paper presents the generation of bar codes using fingerprint images to provide a reliable personal authentication system with low operational cost. Barcode pattern which is generated using fingerprints are decoded by scanner devices and authenticates it. Keywords— Biometric security, Authentication system
The nonprofit arts organization concept and its transformation in Korea

ABSTRACT After the Korean War, both the autocratic and later democratic South Korean governments actively fostered the development of Korea’s arts sector, in part by emulating the organizational and legal structures of U.S. nonprofits. Yet, in this policy transfer, Korea has taken a different path, notably rearticulating the U.S.-style hands-off facilitation model to reflect and accommodate Korean political, institutional, and cultural exigencies. We analyze the effects of the resulting cultural policy on Korean public arts institutions, using documentary evidence and narratives from our case studies of two national arts organizations restructured by the government: The National Theater Company of Korea and the Seoul Arts Center. We employ the concept of cultural statism, conditioned by "culture as glorification," resource dependence, and path dependence, to understand the development of Korea’s public arts sector. Specifically, we consider: the government’s desire to use the arts to enhance its image on an international stage shaped by western liberal democratic values; arts leaders’ desire for reliable support (resource dependence); and the tendancy of Koreans to want to be associated with the stability and prestige of the government (path dependence).
Towards a Theoretical Model of Aggregate Fatigue in Nursing

Burnout among shiftwork personnel such as nurses are prevalent, and the evidence suggests an increasing trend of nurse drop out in complex healthcare settings. While nurses’ acute and chronic fatigue have been studied, current models of fatigue do not capture the pre-chronic phase we refer to as “aggregate fatigue” – the buildup of fatigue and stress exceeding the capacity for physiological and cognitive recovery processes. Understanding aggregate fatigue requires a holistic understanding of a wide range of contributors including sleep, work, non-work-related stress, cognitive load and other psychosocial factors. This paper proposes an integrated model of fatigue in hospital nursing and presents a comparison to the common models of fatigue and burnout. We use a narrative review of literature to ground this multi-attribute model of aggregate fatigue which may shed light on future methods to identify and mitigate fatigue build-up contributing to burnout.
How to Schedule Measurements of a Noisy Markov Chain in Decision Making?

A decision maker records measurements of a finite-state Markov chain corrupted by noise. The goal is to decide when the Markov chain hits a specific target state. The decision maker can choose from a finite set of sampling intervals to pick the next time to look at the Markov chain. The aim is to optimize an objective comprising of false alarm, delay cost, and cumulative measurement sampling cost. Taking more frequent measurements yields accurate estimates but incurs a higher measurement cost. Making an erroneous decision too soon incurs a false alarm penalty. Waiting too long to declare the target state incurs a delay penalty. What is the optimal sequential strategy for the decision maker? This paper shows that under reasonable conditions, the optimal strategy has the following intuitive structure: when the Bayesian estimate (posterior distribution) of the Markov chain is away from the target state, look less frequently; while if the posterior is close to the target state, look more frequently. Bounds are derived for the optimal strategy. Also the achievable optimal cost of the sequential detector as a function of transition dynamics and observation distribution is analyzed. The sensitivity of the optimal achievable cost to parameter and strategy variations is bounded in terms of the Kullback divergence. Also structural results are obtained for joint optimal sampling and measurement control (active sensing).
Participation through Narratives – A Case Study : Utilizing Service-Users ’ Narratives for Development

Customer orientation and user involvement are a part of today’s rhetoric in Finnish social and health care. In this article, the utilization of service users’ narratives to enhance user involvement is evaluated in a development project. The empirical data consists of narrative interviews, the records of the work groups, observations, several recordings, and surveys of the work groups. This is a subjective evaluation conducted by project workers, the researcher, and members of the work groups. The experiential knowledge of the service users gives a clear and detailed picture of the wide multi-actor service system’s operations and points out the targets for improvement in the services provided. The knowledge attained through the narrative interviews was completed with the constant participation of experienced experts throughout the whole development process. The narratives present a clear and detailed picture of the individuals’ entire experience of social and health services. Using the experiences of the service users widens the professionals’ knowledge and generates new perspectives on development.
Nonlinear Laplace equation, de Sitter vacua, and information geometry

Three exact solutions say ${\ensuremath{\phi}}_{0}$ of massless scalar theories on Euclidean space, i.e. $D=6\text{ }\text{ }{\ensuremath{\phi}}^{3}$, $D=4\text{ }\text{ }{\ensuremath{\phi}}^{4}$ and $D=3\text{ }\text{ }{\ensuremath{\phi}}^{6}$ models are obtained which share similar properties. The information geometry of their moduli spaces coincide with the Euclidean ${\mathrm{AdS}}_{7}$, ${\mathrm{AdS}}_{5}$ and ${\mathrm{AdS}}_{4}$ respectively on which ${\ensuremath{\phi}}_{0}$ can be described as a stable tachyon. In $D=4$ we recognize that the SU(2) instanton density is proportional to ${\ensuremath{\phi}}_{0}^{4}$. The original action $S[\ensuremath{\phi}]$ written in terms of new scalars $\stackrel{\texttildelow{}}{\ensuremath{\phi}}=\ensuremath{\phi}\ensuremath{-}{\ensuremath{\phi}}_{0}$ is shown to be equivalent to an interacting scalar theory on $D$-dimensional de Sitter background.