Miracle-dz/UniFAR-FTUs huggingface dataset:
The Reflection of Psychiatric Semiology and Symptomatology on Musical Structure : A Case Study of a Patient Diagnosed with Obsessive Compulsive Disorder

Several studies associate musical features with specific aspects of a patient's emotional states. Less work is carried out however in the association between musical discourse and structure and the patient’s psychiatric signs and symptoms. This study aims to investigate the potential reflection of psychiatric semiology and symptomatology of a patient diagnosed with Obsessive Compulsive Disorder (OCD) onto her musical improvisation. We describe the case study of a 41 year old female patient diagnosed with OCD and also presenting other related psychotic symptoms. The patient had three interactive music sessions with the MIROR Impro prototype system, a machine learning based system which interacts with the user on improvisations, responding by using and rephrasing his/her own musical material and thus creating a musical dialogue. Data collection involved two clinical interviews with the patient, access to her medical file, recording of musical sessions in order to analyse the musical improvisations and video recording to observe the patient's related behaviour. We compare findings from the music analysis of the improvisations, the corresponding behaviour and the clinical data we obtained and analysed, using an analytical music therapy reflection. Our results show that aspects of the patient's pathology can be associated with musical attributes and structures found in the improvisations. In particular, the patient's logorrhea observed in the interviews is translated into non-stop playing , impulsivity becomes intensive playing, the fast tempo reflects anxiety, repeated musical clusters reflect fixation on ideas, and other musical features are related to aspects of the patient's mood.
Modeling Formal and Informal Ties Within an Organization: A Multiple Model Integration

We present a simulation designed to capture the impact of both formal authority ties and informal socialization ties on the performance of an organization adapting to a turbulent world. We present a summary of three key models that informed our approach and then outline and describe the operation of our resulting simulation. Using an experiment that manipulated both the authority network structure and the stress the organization placed on socialization, we show inefficient authority structures harm performance, and also that socialization has a strong and nonlinear impact on peak organizational performance and on the performance of top management. We also present a case study, instantiating the general model with the specific context of a real-world organization. Finally, our integrated multimodel suggests that companies should pursue different strategies in hiring key strategic actors than they do for other actors.
Host‐related factors explaining interindividual variability of carotenoid bioavailability and tissue concentrations in humans

Carotenoid dietary intake and their endogenous levels have been associated with a decreased risk of several chronic diseases. There are indications that carotenoid bioavailability depends, in addition to the food matrix, on host factors. These include diseases (e.g. colitis), life‐style habits (e.g. smoking), gender and age, as well as genetic variations including single nucleotide polymorphisms that govern carotenoid metabolism. These are expected to explain interindividual differences that contribute to carotenoid uptake, distribution, metabolism and excretion, and therefore possibly also their association with disease risk. For instance, digestion enzymes fostering micellization (PNLIP, CES), expression of uptake/efflux transporters (SR‐BI, CD36, NPC1L1), cleavage enzymes (BCO1/2), intracellular transporters (FABP2), secretion into chylomicrons (APOB, MTTP), carotenoid metabolism in the blood and liver (LPL, APO C/E, LDLR), and distribution to target tissues such as adipose tissue or macula (GSTP1, StARD3) depend on the activity of these proteins. In addition, human microbiota, e.g. via altering bile‐acid concentrations, may play a role in carotenoid bioavailability. In order to comprehend individual, variable responses to these compounds, an improved knowledge on intra‐/interindividual factors determining carotenoid bioavailability, including tissue distribution, is required. Here, we highlight the current knowledge on factors that may explain such intra‐/interindividual differences.
The Foundations of International Business: Cross‐Border Investment Activity and the Balance between Market‐Power and Efficiency Effects

The foundational international business (IB) scholarship grappled with whether multinational enterprises (MNEs) are largely efficiency-enhancing or market-power inducing institutions. Contemporary scholarship, however, often associates foreign direct investment (FDI) with efficiency-enhancing properties and thus neglects the market-power interpretation of the MNE. Such an imbalance is problematic given that the theoretical and empirical justifications behind the field's embrace of the efficiency interpretation are not fully evident. Instead, both efficiency and market-power effects are seemingly present in cross-border investment activity. Based on a comprehensive sample of up to 4,361 cross-border investments materializing between 1986 and 2010, we present theoretically-grounded hypotheses with regard to when market-power effects will tend to dominate efficiency effects. We find that cross-border investments undertaken by emerging-market MNEs in both developed and emerging markets tend to involve substantial efficiency effects and minimal market-power effects when compared with the cross-border investments undertaken by developed-country MNEs in both developed and emerging markets.
Language- and Subtask-Dependent Feature Selection and Classifier Parameter Tuning for Author Profiling

We present the CIC’s approach to the Author Profiling (AP) task at PAN 2017. This year task consists of two subtasks: gender and language variety identification in English, Spanish, Portuguese, and Arabic. We use typed and untyped character n-grams, word n-grams, and non-textual features (domain names). We experimented with various feature representations (binary, raw frequency, normalized frequency, log-entropy weighting, tf-idf), machine-learning algorithms (liblinear and libSVM implementations of Support Vector Machines (SVM), multinomial naive Bayes, ensemble classifier, meta-classifiers), and frequency threshold values. We adjusted system configurations for each of the languages and subtasks.
On the Determination of Wages

The labor force value constitute of the labor force cost and its increment. The use value of one labor force can be measured by its output in certain time. The request of the wages from the labor force value expresses itself directly in the form of labor force production cost. The wage should be a synthesize reflection of the value and its use value of one labor force.
Failure Mode and Effect Analysis Under Uncertainty: An Integrated Multiple Criteria Decision Making Approach

Nowadays, failure mode and effect analysis (FMEA) is a widely used reliability analysis technique for products, processes, and services because of its relative simplicity. The conventional risk priority number method, however, has been criticized as having many limitations, such as in the assessment of failure modes, the weighting of risk factors, and the prioritization of failure modes. In this paper, we aim to develop a new risk priority model for FMEA by integrating hesitant 2-tuple linguistic term sets and an extended QUALIFLEX approach. The concept of hesitant 2-tuple linguistic term sets is first presented to express various uncertainties in the assessment information of FMEA team members. Borrowing the idea of grey relational analysis, a multiple objective optimization model is constructed to determine the relative weights of risk factors with incomplete weight information. The extended QUALIFLEX approach with an inclusion comparison method is then suggested to determine the risk ranking of failure modes identified in FMEA. Finally, the practicality and effectiveness of the proposed FMEA are demonstrated through a case study, and the results show that the new risk priority approach is useful and flexible for handling complicated FMEA problems and can yield a reasonable and credible priority ranking of failure modes.
Economic loss and alcohol consumption and problems during the 2008 to 2009 U.S. recession.

BACKGROUND There is some evidence that individual-level job loss can lead to greater alcohol consumption and problems. While other forms of economic loss were common during the recent recession, these are rarely investigated in studies of macroeconomic decline. This study examined the relationship between types of economic loss in the 2008 to 2009 recession and alcohol outcomes, and whether this varied by gender and age. METHODS Data are from the 2009 to 2010 U.S. National Alcohol Survey (N = 5,382). We used multivariable regression to estimate associations between economic loss and alcohol volume, monthly drunkenness, negative drinking consequences, and alcohol dependence in the overall sample and within gender and age groups (18 to 29, 30 to 49, 50+), controlling for demographic and alcohol history covariates. RESULTS In the overall sample, severe economic loss (job or housing loss) was positively associated with negative drinking consequences, alcohol dependence, and (marginally) drunkenness, whereas moderate loss (loss of retirement savings, reduced work hours/wages, or trouble paying the rent/mortgage) was unassociated with alcohol outcomes. Important gender and age differences were observed. Women reporting retirement loss, reduced hours/wages, and job loss consumed 41 to 70% more alcohol than women unaffected by the recession, and men who experienced job loss and housing problems had increased risk for drunkenness, drinking consequences, and dependence. Middle-aged Americans affected by partial or complete job loss and housing problems also had greater risk of drunkenness and alcohol-related problems, and older adults who lost retirement savings drank 42% more alcohol than their peers unaffected by the recession. With the exception of negative drinking consequences, young adult alcohol outcomes were largely unrelated to recessionary loss. CONCLUSIONS This study highlights the adverse effects of recession-induced economic losses on alcohol use and problems in demographic subgroups. As men and middle-aged Americans were at risk for multiple, adverse alcohol outcomes, these groups may warrant special alcohol screening and intervention efforts in future macroeconomic crises.
Novel Consensus Gene Selection Criteria for Distributed GPU Partial Least Squares-Based Gene Microarray Analysis in Diffused Large B Cell Lymphoma (DLBCL) and Related Findings

This paper proposes a novel consensus gene selection criteria for partial least squares-based gene microarray analysis. By quantifying the extent of consistency and distinctiveness of the differential gene expressions across different double cross validations (CV) or randomizations in terms of occurrence and randomization p-values, the proposed criteria are able to identify a more comprehensive genes associated with the underlying disease. A Distributed GPU implementation has been proposed to accelerate the gene selection problem and about 8-11 times speed up has been achieved based on the microarray datasets considered. Simulation results using various cancer gene microarray datasets show that the proposed approach is able to achieve highly comparable classification accuracy in comparing with many conventional approaches. Furthermore, enrichment analysis on the selected genes for Diffused Large B Cell Lymphoma (DLBCL) and Prostate Cancer datasets and show that only the proposed approach is able to identify gene lists enriched in different pathways with significant p-values. In contrast, sufficient statistical significance cannot be found for conventional SVM-RFE and the t-test. The reliability in identifying and establishing statistical significance of the gene findings makes the proposed approach an attractive alternative for cancer related researches based on gene expression profiling or other similar data.
On the credit

The credit which is the historic and social affairs is a relation category, it is the result of indefinable social communication . The essence of credit is an ethics relation . The modern credit contention involves of morality, law and economy, and it has important social function. The healthily developing of the credit needs the defence of morality, law and institution.
Antecedents and outcomes of marketing innovation: An empirical analysis in the hotel industry

Purpose The purpose of this paper is to analyze the influence of knowledge resources on marketing innovation and the way learning capability mediates this relationship. In addition, it evaluates the effect of marketing innovation on the financial performance of hotel firms. Design/methodology/approach Data from a survey conducted in companies that operate hotel establishments are analyzed using structural equation modelling (SEM). The SEM technique makes it possible to evaluate the multiple and intersected relationships existing among the variables under study. Findings Collective knowledge has a direct influence on marketing innovation and an indirect effect through the learning capability, but the influence of the knowledge held by individuals on marketing innovation is exercised through the learning capability. In turn, both the learning capability and marketing innovation favor the financial performance of hotel firms. Research limitations/implications The study shows that intangible resources play an important role in achieving marketing innovation and financial performance. Because the hospitality industry is composed of firms with different characteristics, it would be relevant to confirm the model in other hospitality businesses. Future studies could analyze possible links between marketing innovation and other types of performance. Practical implications Hotel firms can reach higher performance levels if they invest in developing the employees’ knowledge and, fundamentally, in fomenting a higher level of collective knowledge related to the business environment in general. Likewise, the learning capability plays a relevant role in achieving performance in hotels firms. Originality/value To date, studies on innovation in the field of hospitality have mainly focused on developing new services, while other types of innovation, such as marketing innovation, have taken a backseat. Likewise, the hospitality literature has paid little attention to knowledge assets. This study deals with both topics, analyzing knowledge resources and the learning capability as possible antecedents of marketing innovation activities. Furthermore, the effect of marketing innovation on the firm’s performance is evaluated.
A Novel Method for Training Large Scale E-Business SVM Models in a Grid Computing Environment

The Support Vector Machines (SVM) become popular E-Business data mining tools recently, and the datasets of E-Business are usually large-scale. If Support Vector Machines are trained on large-scale datasets, the training time will be very long and the classifier’s accuracy will become lower too. As training a large-scale SVM is equated to solve a large-scale quadratic programming (QP) problem, so Path Following Interior Point Method (IPM) that can efficiently solve large scale QP problem in polynomial time is proposed to construct a new SVM learning algorithm on large-scale datasets. To improve the SVM learning efficiency, the dimensions of IPM direction equations are degraded first, then LDLT parallel decomposition method is used to solve the direction sub-equations efficiently, and the parallel algorithm is implemented in the ProActive grid-computing environment. The experiment results show that the new parallel SVM training algorithm is efficient and the SVM classifying accuracy is higher than libsvm.
Impact of Two-Stage Service Restoration on Distribution Reliability

This paper examines the reliability improvements gained by using a two-stage restoration strategy rather than a single-stage restoration strategy following fault inception. In a two-stage strategy, a first stage quickly restores a limited set of customers using automated switches. A later stage restores additional customers using manual switches. The strategies are compared using a predictive reliability assessment algorithm capable of modeling each strategy. The impact of two-stage restoration is examined on a 10-MVA test feeder for various levels of feeder automation. Tests show that two-stage restoration significantly reduces customer interruption time for partially automated feeders. Further, single-stage restoration models underestimate the reliability benefits attainable through partial feeder automation.
Pigment Shuffling in Antenna Systems Achieved by Expressing Prokaryotic Chlorophyllide a Oxygenase in Arabidopsis*

The organization of pigment molecules in photosystems is strictly determined. The peripheral antennae have both chlorophyll a and b, but the core antennae consist of only chlorophyll a in green plants. Furthermore, according to the recent model obtained from the crystal structure of light-harvesting chlorophyll a/b-protein complexes II (LHCII), individual chlorophyll-binding sites are occupied by either chlorophyll a or chlorophyll b. In this study, we succeeded in altering these pigment organizations by introducing a prokaryotic chlorophyll b synthesis gene (chlorophyllide a oxygenase (CAO)) into Arabidopsis. In these transgenic plants (Prochlirothrix hollandica CAO plants), ∼40% of chlorophyll a of the core antenna complexes was replaced by chlorophyll b in both photosystems. Chlorophyll a/b ratios of LHCII also decreased from 1.3 to 0.8 in PhCAO plants. Surprisingly, these transgenic plants were capable of photosynthetic growth similar to wild type under low light conditions. These results indicate that chlorophyll organizations are not solely determined by the binding affinities, but they are also controlled by CAO. These data also suggest that strict organizations of chlorophyll molecules are not essential for photosynthesis under low light conditions.
Comparison of genotypic and phenotypic resistance patterns of human immunodeficiency virus type 1 isolates from patients treated with stavudine and didanosine or zidovudine and lamivudine.

Sequencing of reverse-transcriptase genes and recombinant virus assays were performed on paired isolates from antiretroviral drug-naive patients randomized to stavudine and didanosine (group 1; n = 21) or zidovudine and lamivudine (group 2; n = 21) at baseline and after > or = 12 months of follow-up. The T215Y mutation emerged in 13 (61.9%) and 2 (9.5%) isolates in groups 1 and 2, respectively (P < .0001). Furthermore, in group 1, mutations associated with multidideoxynucleoside resistance were selected in 3 isolates. In group 2, all isolates carried the M184V mutation. The median fold changes in susceptibilities to zidovudine, stavudine, and lamivudine were 16.4 and 1, 2.2 and 0.6, and 4.5 and > 38 in groups 1 and 2, respectively (P < .0001, all comparisons). These results suggest that the combination of stavudine and didanosine is associated more frequently with the emergence of zidovudine resistance and a decrease in susceptibility to stavudine than the combination of zidovudine and lamivudine.
Transient Analysis of a Magnetic Gear Integrated Brushless Permanent Magnet Machine Using Circuit-Field-Motion Coupled Time-Stepping Finite Element Method

In this paper, a novel magnetic gear integrated brushless permanent magnet machine is studied. The main merit of the machine is that the torque produced by the stator windings can be transmitted between the low-speed rotor and the high-speed rotor through the modulation of ferromagnetic pole pieces; hence it can output a large torque at a low speed. The operating principle of the machine is discussed and its steady-state and transient performances are analyzed using circuit-field-motion coupled time-stepping finite element method. Detailed analysis about its gear ratio, cogging torque, core losses, and power factor are reported. Theoretical analysis agrees well with the FEM computation results.
[Imaging lipid rafts].

Lipid rafts are plasma membrane microdomains enriched in sphingolipids and cholesterol. These domains have been suggested to serve as platforms for various cellular events, such as signaling and membrane trafficking. However, little is known about the distribution and dynamics of lipids in these microdomains. Here we report investigations carried out using recently developed probes for the lipid components of lipid rafts: lysenin, a sphingomyelin-binding protein obtained from the coelomic fluid of the earthworm Eisenia foetida; and the fluorescein ester of poly(ethyleneglycol) cholesteryl ether (fPEG-Chol), which partitions into cholesterol-rich membranes. Lysenin reveals that the organization of sphingomyelin differs between different cell types and even between different membrane domains within the same cell. When added to live cells, fPEG-Chol is distributed exclusively on the outer leaflet of the plasma membrane and is clustered dynamically upon activation of receptor signaling. The surface-bound fPEG-Chol is slowly internalized via a clathrin-independent pathway into endosomes with lipid raft markers.
The Market Economy with Mass Production

As technological change accelerates, and mass production encompasses more sectors, their inherent inefficiencies and inequities become more prevalent in the aggregate economy. The resulting mass market economy can be described as the combination of a large scale, innovative leading sector under monopolistic competition, with a small scale competitive sector made of millions of firms absorbing technologies, whose productivity lags behind. Innovation profits concentrate on a few owners of large scale innovation, while the economy-wide wage level reflects the lagging average technological level. Innovative-distributive policies exist and are necessary for raising equality and approximating efficiency. Cointegration and weak exogeneity results for the US states from 1997 to 2011 corroborate the large scale sector drives aggregate employment and wages.