Miracle-dz/UniFAR-FTUs huggingface dataset:
Rapid colorimetric micromethod for free fatty acids.

Free fatty acids (FFA), the uranyl ion, and the basic dye Rhodamine B form colored complexes, which are extractable into toluene or benzene. Fatty acids of different chain lengths above C(10) and different degrees of unsaturation gave constant molar yield. Complexes in toluene alone are unstable, especially in the light, but a small amount of aqueous uranyl acetate stabilizes them sufficiently for determination. At constant uranyl and Rhodamine B concentrations, a plot of optical density vs. FFA concentration yields two straight lines of different slope, i.e., a biphasic standard curve. Phospholipids interfere, and must be removed with zeolite during FFA extraction. Recovery of FFA added to rat plasma was very similar to that with titration. Assay of rat and dog plasma samples under fasting and fed conditions gave good agreement with the titration method. Values of human plasma samples tended to be higher by the colorimetric procedure; a few samples gave significant disagreement. The method compares well with previous methods in sensitivity and accuracy, and offers advantages in speed, simplicity, and possibly specificity.
Treatment of severe retromastoid pain secondary to C1-2 arthrosis by using cervical fusion.

OBJECT In this report the authors review their 5-year experience in the diagnosis and management of nine patients with severe retromastoid pain secondary to C 1-2 arthrosis. Patients with symptomatic joints unresponsive to nonoperative therapy underwent cervical fusion procedures. METHODS The mean age of the patients was 71 years, and the onset of prior symptoms ranged from 6 months to 18 years. All patients suffered similar discrete nonneuropathic pain without radicular symptoms ipsilateral to the diseased facet joint. Four patients experienced relief from pain with the use of nonoperative therapy. Five patients continued to experience intractable pain and underwent C1-2 fusion. The follow-up period ranged from 6 to 26 months. The cervical fusion procedure was successful in treating the retromastoid pain in all patients. In patients who underwent surgery, complete relief of pain was demonstrated in four and significantly reduced in the fifth. CONCLUSIONS The authors have drawn several conclusions. First, C1-2 arthrosis has a rather unique presentation and is a potential cause of upper posterior neck and head pain predominantly in elderly patients. Second, nonoperative management significantly improved the pain in nearly half of their patients and should be the first line of treatment. Last, C1-2 fusion was successful in treating the pain in patients in whom nonoperative management had failed to resolve symptoms.
Nuance - Politecnico di Torino's 2016 NIST Speaker Recognition Evaluation System

This paper describes the Loquendo – Politecnico di Torino system evaluated on the 2006 NIST speaker recognition evaluation dataset. This system was among the best participants in this evaluation. It combines the results of two independent GMM systems: a Phonetic GMM and a classical GMM. Both systems rely on an intersession variation compensation approach, performed in the feature domain. It allowed a 30% error rate reduction with respect to our 2005 system. The linear combination of the two GMM engines gives a further 10% error rate reduction. We also report the results of a set of post evaluation experiments, related to the training data for the intersession variation evaluation, both for the telephone and microphone datasets. The approach adopted for the two wire tests is also described, showing the effect of the speaker segmentation component of our system. Finally, we describe how we performed the incremental unsupervised adaptation tests.
Reconstructing for joint angles on the shoulder and elbow from non-invasive electroencephalographic signals through electromyography

In this study, first the cortical activities over 2240 vertexes on the brain were estimated from 64 channels electroencephalography (EEG) signals using the Hierarchical Bayesian estimation while 5 subjects did continuous arm reaching movements. From the estimated cortical activities, a sparse linear regression method selected only useful features in reconstructing the electromyography (EMG) signals and estimated the EMG signals of 9 arm muscles. Then, a modular artificial neural network was used to estimate four joint angles from the estimated EMG signals of 9 muscles: one for movement control and the other for posture control. The estimated joint angles using this method have the correlation coefficient (CC) of 0.807 (±0.10) and the normalized root-mean-square error (nRMSE) of 0.176 (±0.29) with the actual joint angles.
On Network Topology Reconfiguration for Remote State Estimation

In this paper, we investigate network topology reconfiguration in wireless sensor networks for remote state estimation, where sensor observations are transmitted, possibly via intermediate sensors, to a central gateway/estimator. The time-varying wireless network environment is modelled by the notion of a network state process, which is a randomly time-varying semi- Markov chain and determines the packet reception probabilities of links at different times. For each network state, different network configurations can be used, which govern the network topology and routing of packets. The problem addressed is to determine the optimal network configuration to use in each network state, in order to minimize an expected error covariance measure. Computation of the expected error covariance cost function has a complexity of O(2MΔmax), where M is the number of sensors and Δmax is the maximum time between transitions of the semi- Markov chain. A sub-optimal method which minimizes the upper bound of the expected error covariance, that can be computed with a reduced complexity of O(2M), is proposed, which in many cases gives identical results to the optimal method. Conditions for estimator stability under both the optimal and suboptimal reconfiguration methods are derived using stochastic Lyapunov functions. Numerical results and comparisons with other low complexity approaches demonstrate the performance benefits of our approach.
TAPRank: A Time-Aware Author Ranking Method in Heterogeneous Networks

Measuring the impact of authors can not only be a good guidance for new researchers, but also provide a standard for academic foundations and awards. Heterogeneous networks can capture more information about the interactions between entities and they are more and more widely used for the measurement of author impact. However, most of the existing researches take all the papers into the networks as equal, although they have different importance levels. In this paper, we propose a new model: TAPRank, which calculates author impact in author-paper network with considering the PageRank scores of papers for the first time. The PageRank algorithm is implemented in paper citation network, taking the time of publication of each paper into consideration. In addition, the experiments on DBLP dataset show a better performance of TAPRank than other state-of-the-art models.
3D-localization microscopy and tracking of FoF1-ATP synthases in living bacteria

FoF1-ATP synthases are membrane-embedded protein machines that catalyze the synthesis of adenosine triphosphate. Using photoactivation-based localization microscopy (PALM) in TIR-illumination as well as structured illumination microscopy (SIM), we explore the spatial distribution and track single FoF1-ATP synthases in living E. coli cells under physiological conditions at different temperatures. For quantitative diffusion analysis by mean-squared-displacement measurements, the limited size of the observation area in the membrane with its significant membrane curvature has to be considered. Therefore, we applied a 'sliding observation window' approach (M. Renz et al., Proc. SPIE 8225, 2012) and obtained the one-dimensional diffusion coefficient of FoF1-ATP synthase diffusing on the long axis in living E. coli cells.
Bandpass Filtering Doherty Power Amplifier With Enhanced Efficiency and Wideband Harmonic Suppression

There is an ever increasing demand for both function integration and improved performance in wireless communication devices. Therefore, the integration of efficient linearizing amplifying and bandpass filtering functions is proposed for the first time in this paper. A new Doherty amplifier configuration with attractive behaviors including bandpass filtering, wideband harmonic suppression, and enhanced efficiency, is presented. A component crucial to the successful implementation of the proposed configuration is the bandpass quadrature coupler with arbitrary coupling coefficient. Owing to the flexibility of a circular patch in locating the frequencies of different operational modes, it is thus possible to implement good bandpass characteristics. With the introduction of this new component, the Main and Auxiliary amplifiers can be driven more efficiently, resulting in both linearity and efficiency improvements. To verify the validity of the proposed configuration, a Doherty amplifier has been designed and fabricated. Its measured performance is compared with the conventional design and found to exhibit a bandpass filtering characteristics with a wide suppression band up to the third harmonic frequency. Meanwhile, the proposed amplifier achieves a measured power-added-efficiency improvement of 10% and an ACLR improvement better than 5.8 dB at the higher output power region.
Cluster Analysis Using N-gram Statistics for Daihinmin Programs and Performance Evaluations

In this paper, the authors elucidate the characteristics of the computer game Daihinmin, a popular Japanese card game that uses imperfect information. They first propose a method to extract feature values using n-gram statistics and a cluster analysis method that employs feature values. By representing the program card hands as several symbols, and the order of hands as simplified symbol strings, they obtain data that is suitable for feature extraction. The authors then evaluate the effectiveness of the proposed method through computer experiments. In these experiments, they apply their method to ten programs that were used in the UEC Computer Daihinmin Convention. In addition, the authors evaluate the robustness of the proposed method and apply it to recent programs. Finally, they show that their proposed method can successfully cluster Daihinmin programs with high probability.
Measurements of the bulk, C-axis electromechanical coupling constant as a function of AlN film quality

Piezoelectric thin film AlN has great potential for on-chip devices such as thin-film resonator (TFR)-based bandpass filters. The AlN electromechanical coupling constant, K/sup 2/, is an important material parameter that determines the maximum possible bandwidth for bandpass filters. Using a previously published extraction technique, the bulk c-axis electromechanical coupling constant was measured as a function of the AlN X-ray diffraction rocking curve [full width at half maximum (FWHM)]. For FWHM values of less than approximately 4/spl deg/, K/sup 2/ saturates at approximately 6.5%, equivalent to the value for epitaxial AlN. For FWHM values >4/spl deg/, K/sup 2/ gradually decreases to approximately 2.5% at a FWHM of 7.5/spl deg/. These results indicate that the maximum possible bandwidth for TFR-based bandpass filters using polycrystalline AlN is approximately 80 MHz and that, for 60-MHz bandwidth PCS applications, an AlN film quality of >5.5/spl deg/ FWHM is required.
Oncogenic activity of the regulatory subunit p85β of phosphatidylinositol 3-kinase (PI3K)

Significance PI3K is a lipid kinase that regulates a broad spectrum of cellular activities. It is a dimeric enzyme consisting of a catalytic and a regulatory subunit. The regulatory subunit stabilizes and inhibits the catalytic subunit. The two major regulatory subunits p85α and p85β have overlapping and unique functions. The data presented here show that in contrast to p85α, the native, wild-type p85β has oncogenic potential and suggest that p85β is a less effective inhibitor of p110 than p85α. These findings are in accord with emerging information that assigns p85β a specific role in human cancer. Expression of the regulatory subunit p85β of PI3K induces oncogenic transformation of primary avian fibroblasts. The transformed cells proliferate at an increased rate compared with nontransformed controls and show elevated levels of PI3K signaling. The oncogenic activity of p85β requires an active PI3K-TOR signaling cascade and is mediated by the p110α and p110β isoforms of the PI3K catalytic subunit. The data suggest that p85β is a less effective inhibitor of the PI3K catalytic subunit than p85α and that this reduced level of p110 inhibition accounts for the oncogenic activity of p85β.
Enhancing online banking authentication using hybrid cryptographic method

Security of Electronic mode of payment is a crucial aspect today when a large number of customers urge to do the transaction online instead of approaching Banks physically. Now as the traffic on Internet is growing, it becomes a challenging task to secure the electronic transactions over an insecure channel of communication on Internet. The areas of security which are critical here include well-built data enciphering techniques, secure mode of transaction and trusted third party which maintains the database electronically. Data security can only be maintained by conventional methods of encryption in strong and secure channel of transaction. But the threat that is most vulnerable here is theft of customer's data for any malicious purpose such as severe attacks that are done online. The proposed encryption technique provides adequate safety for electronic transactions over wireless set-up. This research study depicts a clear picture of call for improved authentication in online banking. It shows the major safety concerns and illegal activities that are driving the need for well-built verification as well as showing the increase of online channel that is being driven by consumers and monetary institutions. This study provides a careful analysis of the various authentication solutions available, as well as a set of principles for choosing and applying improved authentication focused on the learning and understanding of business experts and customer.
Loss of Heterozygosity of p53, BRCA1, VHL, and Estrogen Receptor Genes in Breast Carcinoma: Correlation with Related Protein Products and Morphologic Features

Correlation of loss of heterozygosity (LOH) of p53, BRCA1, VHL, and estrogen receptor (ER) genes with the expression of related protein products and morphologic features predictive of aggressive biologic behavior was investigated to determine the significance of LOH in these genes. DNA from 35 formalin-fixed, paraffin-embedded breast carcinomas was obtained by microdissection of histologic sections. LOH was determined by polymerase chain reaction (PCR) using primers TP53, D3S1038, D17S855, and ESR for p53, VHL, BRCA1, and ER genes, respectively. p53, ER, and progesterone receptor (PR) protein expression was evaluated by immunohistochemistry. Morphologic evaluation included histologic type, and histologic and nuclear grades. TP53 LOH was identified in 13 (52%), BRCA1 LOH in 3 (17%), VHL LOH in 1 (4%), and ER LOH in 4 (21%) of 25, 17, 24, and 19 informative cases, respectively. p53 and ER protein expression was identified in 20 (57%) and 25 (71%) cases, respectively. TP53 LOH directly correlated with both high histologic and nuclear grade (P<O.0 1). BRCA1, VHL, and ER LOH was not frequent enough for correlation to morphologic features. Although 4 of 4 ER and 7 of 13 p53 LOH cases expressed related proteins, LOH did not correlate with protein expression. TP53 LOH may be an event contributing to aggressive biologic behavior since it is strongly associated with high histologic and nuclear grade. Missense or nonsense mutations may explain the absence of detectable p53 protein in 6 of 13 cases with p53 LOH. All 4 ER LOH cases expressed ER protein. BRCAI and VHL LOH is infrequent in sporadic breast carcinoma.
Properties of logics of individual and group agency

abstract. Weprovideproof-theoreticresultsaboutdeliberativeSTIT logic. FirstwepresentSTITlogicforindividualagentswithouttime,wheretheproblemofsatisﬁabilityhasrecentlybeenshowntobeNEXPTIME-completeinthegeneralcase. ThenwestudySTIT logicforgroupsofagents. Weprovethatsatisﬁabilityof STIT formulasinvolvinggroupsofagentsisundecidablebyreducingtheproblemofsatisﬁabilityofaformulaoftheproductlogicS5 n togroupSTIT satisﬁabilityproblem. WealsoprovethatgroupSTIT isnotﬁnitelyaxiomatizable. Keywords: logics of agency, deliberative STIT, joint action, decidability, axiomatizability,complexity 1 Introduction While logics of programs and actions such as PDL allow to reason about the relation betweenanactionanditseﬀects,so-calledlogicsofagencyareabouttherelationbetweenanagentandthe eﬀects of his actions. The latter are relevant in game theory, theoretical computer scienceandphilosophyofaction.Ingametheory,Pauly’scoalitionlogic(CL)allowstoreasonaboutthecapabilitiesofcoalitions[14]. Itprovidesforexpressionsofthekind“coalitionJcanmake’trueatthenexttimepoint”. Intheoreticalcomputerscience,Alternating-timeTemporalLogicsATL andATL wereintro-ducedbyHenzingeretal.inordertoreasonaboutdistributedprocesses[2]. TheformulahhJii’reads“coalitionJhasastrategysuchthat’holds”,where’isaformulaoflineartemporallogic(that has to satisfy some restrictions in the case of ATL). Goranko showed that CL is nothingbutafragmentof ATL (whichinturnisafragmentof ATL ),byidentifyingtheCL formula[J]’withtheATL formulahhJiiX’[9],whereXisthetemporal‘next’operator.Inphilosophyofactionconstructionsoftheform[istit: ’] wereintroducedbyBelnapetcol. [4],read“agentiseestoitthat’” or“ibringsitaboutthat’”. Inthispaper,wefocusonthebasic version that is called Chellas STIT [6] (thus baptized by [10]), noted [icstit: ’] in theliterature. (TheoriginaloperatordeﬁnedbyChellasisneverthelessnotablydiﬀerentsinceitdoesnotcomewiththeprincipleofindependenceofagentsthatplaysacentralroleinSTIT theory.)TheChellasSTIT wasextendedtogroupagencyin[4,Section10.C]and[11,Section2.4]. ForasetofagentsJ,theformula[Jcstit: ’] reads“groupJseestoitthat’”. Weherewrite[J]’instead of [Jstit: ’]. These logics moreover have a modal operator of historical necessity . RecentlyBroersenetal.showedthatATL canbeembeddedintothelogicoftheChellas STIT,byidentifyinghhJiiX’with: :[J]X’[5]. Thishighlightsthatthemodaloperatorsof CL andATL arenothingbutfusionsofthreemodaloperators. STIT-logicsarethereforethemostgeneralformal framework for agency, allowing not only to reason about what agents can do, but alsoaboutwhattheydo.While it is known that the satisﬁability problem is PSPACE-complete for coalition logic CL[14],andEXPTIME-completeforATL [19],and2EXPTIME-completeforATL [15],onlylittleis known about the mathematical properties of STIT logic. Up to now the only known results
A Random Network Generator with Finely Tunable Clustering Coefficient for Small-World Social Networks

Many social networks share two generic distinct features: power law distributions of degrees and a high clustering. In some cases, it is difficult to obtain the structure information of real networks. Network generators provide a way to generate test networks for simulation. We present a random network generator to generate test networks with prescribed power law distributions of degrees and a finely tunable average clustering coefficient. The generator is composed of three steps. First, the degree sequences are generated following the given degree power law exponents. Second, the generator constructs a test network with these degree sequences. Third, the test network is modified to meet the prescribed average clustering coefficient as closely as possible. Experiments show the impact of the clustering coefficient on network connectivity using this generator. The comparison with existing random network generators is presented.
Detecting text in the real world

The problem of text detection in natural scene images is challenging because of the unconstrained sizes, colors, backgrounds and alignments of the characters. This paper proposes novel symmetry features for this task. Within a text line, the intra-character symmetry captures the correspondence between the inner contour and the outer contour of a character while the inter-character symmetry helps to extract information from the gap region between two consecutive characters. A formulation based on Gradient Vector Flow is used to detect both types of symmetry points. These points are then grouped into text lines using the consistency in sizes, colors, and stroke and gap thickness. Therefore, unlike most existing methods which use only character features, our method exploits both the text features and the gap features to improve the detection result. Experimentally, our method compares well to the state-of-the-art on public datasets for natural scenes and street-level images, an emerging category of image data. The proposed technique can be used in a wide range of multimedia applications such as content-based image/video retrieval, mobile visual search and sign translation.
The Application of a Model of Turnover in Work Organizations to the Student Attrition Process

Data measuring 14 independent variables were obtained from 854 freshmen women at a major midwestern land-grant university. Twelve determinants were expected to influence satisfaction, intent to leave, and dropout in a causal sequence. The model was estimated using path analysis and multiple regression. Nine variables were ranked by total causal effects, from high to low: intent to leave, grades, practical value, opportunity, marriage, satisfaction, campus organizations, courses, and participation (R2 = .48).
Online load balancing for MapReduce with skewed data input

MapReduce has emerged as a powerful tool for distributed and scalable processing of voluminous data. In this paper, we, for the first time, examine the problem of accommodating data skew in MapReduce with online operations. Different from earlier heuristics in the very late reduce stage or after seeing all the data, we address the skew from the beginning of data input, and make no assumption about a priori knowledge of the data distribution nor require synchronized operations. We examine the input in a continuous fashion and adaptively assign tasks with a load-balanced strategy. We show that the optimal strategy is a constrained version of online minimum makespan and, in the MapReduce context where pairs with identical keys must be scheduled to the same machine, there is an online algorithm with a provable 2-competitive ratio. We further suggest a sample-based enhancement, which, probabilistically, achieves a 3/2-competitive ratio with a bounded error.
Performance Evaluation of an Advanced Energy-Aware Client-Based Handover Solution in Heterogeneous LTE and WiFi Networks

The pervasive use of smartphones in daily life and the advanced expansion of cellular networks (LTE) has strongly increased the amount of mobile data traffic and has established the trend of always on connectivity. To cope with the huge amount of data, WiFi offload has become an indispensable solution. Keeping in mind the resource constraints of smartphones, energyaware applications are of high importance. Vertical handover decision algorithms (VHDA) are indispensable for the balance and coordination of heterogeneous networks capacity and the handling of the increased amount of data traffic. In this paper we present an energy metric for vertical handover decision algorithms (VHDA) derived from measurements. Furthermore, we propose a client-based lightweight handover solution with an integrated energy-aware vertical handover decision algorithm based on Fuzzy logic. We analyze the handover delay and the energy consumption in a laboratory as well as in a real environment and compare our results with a RSS based solution. We show that our client-based energy-aware handover solution (EC) fulfills the requirement of small handover delays (≤ 200ms) and outperforms RSS based solutions in terms of energy efficiency (E/Bit).