Miracle-dz/UniFAR-FTUs huggingface dataset:
Self-Rated Depression Severity Relative to Clinician-Rated Depression Severity: Trait Stability and Potential Role in Familial Transmission of Suicidal Behavior

Self-rated depression and hopelessness severity are predictors of suicide attempt in major depression. This study evaluated whether: (1) greater self-rated distress relative to severity of clinician-rated depression is a trait; (2) that trait is familial; and (3) that trait is linked to familial transmission of suicidal behavior. A total of 285 mood disorder probands and 457 offspring were assessed twice, at least 1 year apart. Family and subject intra-class correlations for self-report depression and hopelessness, controlling for clinician-rated depression severity, were computed. Mixed general linear models determined offspring-proband correlations. Within-individual intra-class correlation (ICC) for depression-hopelessness was 37.8% (bootstrap 95% CI: 31.0–46.3%). Parent-offspring ICC was 10.7% (bootstrap 95% CI: 3.5–17.8%). Suicide attempt concordant parent-offspring correlation for subjective depression was positive, but negative for attempter parent and nonattempter offspring (p = .0213 for slope interaction). Pessimism was greater in proband or offspring attempters than proband or offspring nonattempters (p < .05). Self-reported hopelessness is partly trait-dependent, and there is modest familial transmission of self-reported depression linked to suicidal behavior that may partly explain familial transmission of suicidal behavior.
Survey on Android Forensic Tools and Methodologies

In recent days, Android Operating System has gained top most position in mobile Operating System (OS) market share. Usage of Smartphone and tablet devices is massively increased and major portion of these devices are come up with android OS. There is a big chance that these devices may be used in committing crimes also. While doing forensic investigation of the digital devices which are involved in the crime needs special tools and techniques to seize, acquire and analysis of the android devices. This paper highlights various techniques available in the market in terms of logical acquisition, physical acquisition and analysis.
What is my Dog Trying to Tell Me? the Automatic Recognition of the Context and Perceived Emotion of Dog Barks

A wide range of research disciplines are deeply interested in the measurement of animal emotions, including evolutionary zoology, affective neuroscience and comparative psychology. However, only a few studies have investigated the effect of phenomena such as emotion on the acoustic parameters of (non-human) mammalian species. In this contribution, we explore if commonly used affective computing-based acoustic feature sets can be used to classify either the context, the emotion, or predict the emotional intensity of dog bark sequences. This comparison study includes an in-depth analysis of obtainable classification performances. Results presented indicate that the tested feature representations are suitable for the proposed recognition tasks. Of particular note are results that demonstrate machine learning-based acoustic analysis can achieve above human level performance when classifying the context of a dog bark.
Russian word sense induction by clustering averaged word embeddings

The paper reports our participation in the shared task on word sense induction and disambiguation for the Russian language (RUSSE-2018). Our team was ranked 2nd for the wiki-wiki dataset (containing mostly homonyms) and 5th for the bts-rnc and active-dict datasets (containing mostly polysemous words) among all 19 participants. The method we employed was extremely naive. It implied representing contexts of ambiguous words as averaged word embedding vectors, using off-the-shelf pre-trained distributional models. Then, these vector representations were clustered with mainstream clustering techniques, thus producing the groups corresponding to the ambiguous word senses. As a side result, we show that word embedding models trained on small but balanced corpora can be superior to those trained on large but noisy data - not only in intrinsic evaluation, but also in downstream tasks like word sense induction.
Internet addiction and psychopathology in a community before and during an economic crisis

Background. Internet addiction disorder (IAD) is a novel concept under scrutiny for a definite inclusion in the psychiatric taxonomy, after showing correlations with overt expressions of psychopathology. This study aims to assist the scientific dialogue concerning IAD while presenting comparative data on adolescent psychopathology before and during a major economic crisis that has affected Greece from 2010 onwards. Methods. This is a cross-sectional study of a high school student population, aged 12–18, on IAD which follows-up a 2006 survey, and is carried out 5 years later at the same school classes. A comparison on psychopathological symptoms between the two samples is carried out to confirm any underlying correlations with IAD while providing some first insight on any effects of the economic crisis on adolescent psyche. Results. Results indicate that Internet addiction is increased in this population paralleling the increase in Internet availability at home. Adolescents affected with IAD present with more psychopathological symptoms. A comparison between the 2006 and 2011 samples reveals lower rates of general psychopathology but similar burden of reported symptoms. Conclusions. Those findings are discussed in the framework of adolescent coping to adversity, individual reactions to major crises, as well as the general debate regarding the value of IAD as a distinct diagnosis. The effects of the economic crisis may have triggered an adaptive response in the adolescent population although IAD as a distinct nosological entity is clearly linked to more symptoms of overt psychopathology. Directions are offered for further research in countries affected by crises.
Dynamic Context-Aware and Limited Resources-Aware Service Adaptation for Pervasive Computing

A pervasive computing system (PCS) requires that devices be context aware in order to provide proactively adapted services according to the current context. Because of the highly dynamic environment of a PCS, the service adaptation task must be performed during device operation. Most of the proposed approaches do not deal with the problem in depth, because they are either not really context aware or the problem itself is not thought to be dynamic. Devices in a PCS are generally hand-held, that is, they have limited resources, and so, in the effort to make them more reliable, the service adaptation must take into account this constraint. In this paper, we propose a dynamic service adaptation approach for a device operating in a PCS that is both context aware and limited resources aware. The approach is then modeled using colored Petri Nets and simulated using the CPN Tools, an important step toward its validation.
Influence of human muscle length on fatigue.

The effect of muscle length on susceptibility to fatigue has been examined in human ankle dorsiflexor muscles. The fatiguing procedure consisted of either indirect tetanic stimulation at 20 Hz or maximal voluntary contraction; each procedure lasted 90 s. The amplitude of the evoked muscle compound action potential (M‐wave) increased during the first 30 s or so of the tetanic fatiguing procedure and then decreased. The torque developed by the dorsiflexor muscles declined throughout the period of tetanization. A significantly greater reduction in twitch and tetanic torque was found after the fatiguing procedure had been conducted at the optimum muscle length rather than with the muscle in a shortened position. Relaxation after tetanic stimulation was slower after fatigue had been induced at the optimum muscle length. It is concluded that muscle fatigue is related to the number of actin‐myosin cross‐bridge interactions and is unlikely to be accounted for solely on the basis of changes in the ionic composition of the transverse tubular fluid.
The Bank Lending Channel of Monetary Transmission in Brazil

This paper tests for the existence of a bank lending channel in the transmission of monetary policy in Brazil using monthly aggregate data for the period 1995:12 through 2008:6. The test is carried out in a VECM setting that allows for multiple cointegrating relationships among the variables of interest. We find evidence of two cointegrating vectors, which we identify as bank loan demand and supply functions by testing for a number of exclusion and exogeneity restrictions on the cointegrating relationships. Loan supply is negatively related to the interbank deposit certificate rate in the long term, which confirms the existence of a lending channel for monetary transmission. The VECM’s short-term dynamics show that loan demand is equilibrium-correcting. But short-term disequilibria in the supply of loans are corrected through changes in the interbank deposit certificate rate, suggesting that monetary policy plays a role in restoring equilibrium in the credit market by affecting the borrowing rate faced by banks to raise non-deposit funds. This Working Paper relates to the 2009 OECD Economic Survey of Brazil (www.oecd.org/eco/surveys/brazil)
In silico analysis of the adenylation domains of the freestanding enzymes belonging to the eucaryotic nonribosomal peptide synthetase‐like family

This work presents a computational analysis of the molecular characteristics shared by the adenylation domains from traditional nonribosomal peptide synthetases (NRPSs) and the group of the freestanding homologous enzymes: α‐aminoadipate semialdehyde dehydrogenase, α‐aminoadipate reductase and the protein Ebony. The results of systematic sequence comparisons allow us to conclude that a specificity‐conferring code, similar to that described for the NRPSs, can be recognized in such enzymes. The structural and functional roles of the residues involved in the substrate selection and binding are proposed through the analysis of the predicted interactions of the model active sites and their respective substrates. The indications deriving from this study can be useful for the programming of experiments aimed at a better characterization and at the engineering of this emerging group of single NRPS modules that are responsible for amino acid selection, activation and modification in the absence of other NRPS assembly line components.
Using an Automated Content Scoring System for Spoken CALL Responses: The ETS submission for the Spoken CALL Challenge

In this study we investigate the performance of an automated content scoring system for accepting or rejecting learner responses in a spoken CALL application. Speciﬁcally, we em-ployed a system based on word and character n -gram features in a support vector machine learning framework that was orig-inally designed for scoring content in written texts and aug-mented its standard feature set with additional features from the following categories: prompt bias, text-to-text similarity to reference responses, and automatically detected grammatical errors. This system achieved a D score of 4.353 (compared to a baseline score of 1.694) on the test set consisting of Kaldi ASR output in the 2017 Spoken CALL Challenge. In this paper we also provide an analysis of the impact of the size and nature of the training data set (human transcriptions vs. ASR output) on the model’s performance and present the results of feature ablation experiments to demonstrate which of the additional features are most helpful.
Determination of the physical environment within the Chlamydia trachomatis inclusion using ion‐selective ratiometric probes

Chlamydia trachomatis is an obligate intracellular bacterium with a biphasic life cycle that takes place entirely within a membrane‐bound vacuole termed an inclusion. The chlamydial inclusion is non‐fusogenic with endosomal or lysosomal compartments but intersects a pathway involved in transport of sphingomyelin from the Golgi apparatus to the plasma membrane. The physical conditions within the mature chlamydial inclusion are unknown. We used ratiometric imaging with membrane‐permeant, ion‐selective fluorescent dyes for microanalyis of the physical environment within the inclusion. Determination of H+, Na+, K+ and Ca2+ concentrations using CFDA (carboxy fluorescein diacetate) or BCECF‐AM (2′,7′‐bis (2‐carboxyethyl)‐5,6‐carboxyfluorescein acetoxymethyl ester, SBFI‐AM, PBFI‐AM and fura‐PE3‐acetomethoxyester (Fura‐PE3‐AM), respectively, indicated that all ions assayed within the lumenal space of the inclusion approximated the concentrations within the cytoplasm. Stimulation of purinergic receptors by addition of extracellular ATP triggered a dynamic Ca2+ response that occurred simultaneously within the cytoplasm and interior of the inclusion. The chlamydial inclusion thus appears to be freely permeable to cytoplasmic ions. These results have implications for nutrient acquisition by chlamydiae and may contribute to the non‐fusogenicity of the inclusion with endocytic compartments.
Oil and metal price movements and BRIC macro-economy: an empirical analysis

Brazil, Russia, India, and China are the four fastest growing economies to emerge at the dawn of the new century. Concisely referred to as BRIC, the growth of these states has transferred sources of wealth and capital. To fuel such rising economies requires resources. In particular, food, construction materials, and energy are necessary to sustain BRIC growth. This paper will ultimately examine the relationship between macroeconomic factors of the BRIC countries and commodity price movements from the early 1990s to the end of 2007. Some strong relationships were found, including metal price fluctuations on Brazil's Stock Index and oil price fluctuations on Russia GDP. Interestingly, we could not find any significant relationships between China's macroeconomic factors and commodity price movements.
From bureaucratic to post‐bureaucratic: the difficulties of transition

Purpose – Modern bureaucracies are under reconstruction, bureaucracy being no longer “modern”; they are becoming “post” bureaucratic. Defining the post‐bureaucratic organization as a hybrid form provides insight into the intrinsic difficulties involved in the refurbishment of large complex organizations. The purpose of this paper is to examine these difficulties empirically.Design/methodology/approach – The paper describes the case of an Australian public sector agency, subject to “corporatization” – a metamorphosis from a strictly public sector outlook to one that was imputedly more commercial. It focuses on the transition from personnel management to strategic HRM in the HR function.Findings – A series of difficulties affected these changes: difficulties in inventing a new identity; differences in perception of that identity; organizational philosophy towards strategic HRM; unsuitability of extent networks; and identity conflicts. Two factors emerge as the core explanation for the difficulties encounter.
Performance analysis of QR-decomposition RLS and householder sliding window RLS for noise elimination of EEG

The paper conducts with the performance analysis of QR-decomposition (QRD) and householder sliding window (HSW) recursive least square (RLS) algorithm of adaptive filter for elimination of noise from EEG signal. Previous works show that the conventional RLS algorithm is best suited for noise elimination but it is more susceptible to noise with the increase of the number of iteration and coefficients of filter. QRD-RLS and HSW-RLS are more robust and numerically stable than conventional RLS. For the performance analysis, The EEG signal is collected from a database and mixed with random noise, white Gaussian noise and coloured noise. The noise corrupted EEG signal is filtered adaptively with the QRD-RLS and HSW-RLS and the performance is measured with mean square error, signal-to-noise ratio, Welch power spectral density estimation and normalised correlation coefficient. With these parameters, the QR-decomposition RLS algorithm is found more efficient for the elimination of noise from EEG signal.
Loan Spreads and Unexpected Earnings: Do Banks Know What Analysts Don't Know?

This paper uses a new research design to explore whether at the financing decision stage banks have superior information to financial analysts about borrowers’ future earnings. The results suggest that at the loan initiation banks have “priced-in” borrowers’ future earnings news that is unexpected by analysts. The sensitivity of loan spreads to unexpected earnings varies cross-sectionally and over time in the same direction as the predicted changes in banks’ relative information advantages. Further tests show that the results are robust to alternative measures of unexpected earnings, and are unlikely to be driven by correlated omitted risk factors.
Interactive Control of Coupled Microgrids for Guaranteed System-Wide Small Signal Stability

This paper proposes an interactive control framework for microgrid interconnections to achieve effective load sharing and guaranteed system-wide small signal stability. In the proposed framework, hierarchical control is performed at three levels operating in different time frames. A model reference control-based scheme is implemented for primary level power sharing, through which the interface inverter of each microgrid is controlled to track a designed reference model. At the secondary level, an interactive droop management scheme is proposed to manage the reference model droop gains based on a distributed stability criterion. At the tertiary level, an ac power flow-based supervisory control strategy is utilized to dispatch the nominal setting to each microgrid central controller (MGCC) for the primary level reference tracking, and broadcast an interaction coefficient to each MGCC so that the droop gains can be managed to guarantee system-wide stability. Numerical analysis of a study system designed based on the IEEE 123-node test feeder demonstrates the effectiveness of the proposed interactive control framework.
Southern Ocean Echinoids database – An updated version of Antarctic, Sub-Antarctic and cold temperate echinoid database

Abstract This database includes over 7,100 georeferenced occurrence records of sea urchins (Echinodermata: Echinoidea) obtained from samples collected in the Southern Ocean (+180°W/+180°E; -35°/-78°S) during oceanographic cruises led over 150 years, from 1872 to 2015. Echinoids are common organisms of Southern Ocean benthic communities. A total of 201 species is recorded, which display contrasting depth ranges and distribution patterns across austral provinces and bioregions. Echinoid species show various ecological traits including different nutrition and reproductive strategies. Information on taxonomy, sampling sites, and sampling sources are also made available. Environmental descriptors that are relevant to echinoid ecology are also made available for the study area (-180°W/+180°E; -45°/-78°S) and for the following decades: 1955–1964, 1965–1974, 1975–1984, 1985–1994 and 1995–2012. They were compiled from different sources and transformed to the same grid cell resolution of 0.1° per pixel. We also provide future projections for environmental descriptors established based on the Bio-Oracle database (Tyberghein et al. 2012).
Design of H-plane Magic-Tee junction in RSIW for V-band applications

This paper concerns the designing, considerations and analysis of H-plane Magic-Tee junction in rectangular substrate integrated waveguide technology using HFSS code. The proposed design unites the advantages such as low fabrication cost, low signal losses, planer profile, easily integrated with the other microwave devices and high performance in microwave application. The transmission coefficients S21 and S31 shows that the input power (3W) in a waveguide is equally split into −8dB power or combined −8dB power in needed manner by using presented SIW Tee junction. The divided E-fields are in same phase as the E-field at the input. The junction is optimized in V-band [40–75 GHz] for super high frequency of 55 GHz. Unlike other Tee junctions, the proposed SIW Tee junction is designed on modified epoxy substrate and the measured results demonstrate that the reflection coefficient dB (S11) is −43.2817 dB, reflection loss is 0.0008 dB, normalized impedance is 0.2411 and VSWR is 0.9004 at the frequency of 55 GHz. Moreover, the reflection coefficient and VSWR remains below the value of −12.5 dB and 1.2 respectively across the entire V-band, being very acceptable levels. Thus, through the study of results, proposed SIW Tee junction is very effective for signal transmission with low losses over entire V-band.
It's Not Always About Winning: Domestic Politics and Legal Success in EU Annulment Litigation

Why do EU Member State governments have such varying degrees of success when they initiate annulment actions against the European Commission? Usually litigant success is associated with arguments about judicial constraint or litigants' capacity. This article sheds light on domestic politics as an additional factor that can affect governments' success record in court. It is argued that governmental annulment actions are often part of a two-level game in which the value of the legal conflict for a national government can be independent of, or even negatively related to, legal success in court as governments may reap immediate benefits from communicating the initiation of annulment actions to voters. In addition, negative rulings can be used as normative levers in domestic reform processes. The statistical analysis indicates that the latter argument systematically affects governments' success records.
A 3D cloud‐construction algorithm for the EarthCARE satellite mission

This article presents and assesses an algorithm that constructs 3D distributions of cloud from passive satellite imagery and collocated 2D nadir profiles of cloud properties inferred synergistically from lidar, cloud radar and imager data. It effectively widens the active–passive retrieved cross‐section (RXS) of cloud properties, thereby enabling computation of radiative fluxes and radiances that can be compared with measured values in an attempt to perform radiative closure experiments that aim to assess the RXS. For this introductory study, A‐train data were used to verify the scene‐construction algorithm and only 1D radiative transfer calculations were performed.
Higher order statistics based method for workload prediction in the cloud using ARMA model

One of the main features that distinguishes the cloud computing from the other computing models is the ability to dynamically scale resources for users as needed. However, allocating resources in the cloud is not instantaneous; it takes several minutes for a virtual instance to be initialized. The obvious solution to this issue is to predict the future need of computing resources and allocate them before being requested. In this paper, we present a workload forecasting model based on the Autoregressive Moving Average (ARMA) model for both Gaussian and non-Gaussian processes. In the proposed method, the technique of Higher Order Statistics (HOS) is used in conjunction with the ARMA model to identify the appropriate forecasting model in case of Gaussian and non-Gaussian processes. Results of experiments show the efficiency of the proposed method compared to the traditional ARMA model.
Assimilation and Local Conjunction in Arabic

Voice and emphasis assimilation in Arabic take place only when adjacent segments agree in all other feature specifications. In effect, this creates a paradox as to the ranking of a constraint that requires adjacent segments to agree in all features relative to other constraints that demand faithfulness to the feature ‘voice’ or ‘emphasis’ when the adjacent segments differ in any other feature(s). In the language as well, coronal sonorants /n/ and /l/ undergo total assimilation to a following /r/ but not to any other continuant. The aim of this paper is to propose local conjunction as an appropriate tool for handling voice, emphasis, and continuance assimilation in stem-stem clusters in Arabic.