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2021 ◽  
Author(s):  
Pavel Mikheev ◽  
Denis Kotsyuk ◽  
Elena Podorozhnyuk ◽  
Vsevolod Koshelev ◽  
Tatiana Sheina ◽  
...  

2021 ◽  
Author(s):  
Gwantae Kim ◽  
David K. Han ◽  
Hanseok Ko

A mixed sample data augmentation strategy is proposed to enhance the performance of models on audio scene classification, sound event classification, and speech enhancement tasks. While there have been several augmentation methods shown to be effective in improving image classification performance, their efficacy toward time-frequency domain features of audio is not assured. We propose a novel audio data augmentation approach named "Specmix" specifically designed for dealing with time-frequency domain features. The augmentation method consists of mixing two different data samples by applying time-frequency masks effective in preserving the spectral correlation of each audio sample. Our experiments on acoustic scene classification, sound event classification, and speech enhancement tasks show that the proposed Specmix improves the performance of various neural network architectures by a maximum of 2.7\%.


Author(s):  
Javier I. Borráz-León ◽  
Markus J. Rantala ◽  
Severi Luoto ◽  
Indrikis A. Krams ◽  
Jorge Contreras-Garduño ◽  
...  

Abstract Objective Phenotypic markers associated with developmental stability such as fluctuating asymmetry, facial attractiveness, and reports of minor ailments can also act as indicators of overall physical health. However, few studies have assessed whether these markers might also be cues of mental health. We tested whether self- and other-perceived facial attractiveness, fluctuating asymmetry, and minor ailments are associated with psychopathological symptoms in a mixed sample of 358 college students, controlling for the effects of body mass index, age, and sex. Methods We applied the Symptom Checklist-90-Revised (SCL-90-R) questionnaire to assess psychopathological symptoms, a battery of questionnaires about self-perceptions of facial attractiveness, and gathered information about the number of previous minor ailments as well as demographic data. Other-perceived attractiveness was assessed by an independent mixed sample of 109 subjects. Subjects’ facial fluctuating asymmetry was determined by geometric morphometrics. Results The results revealed that in both men and women, higher self-perceived attractiveness and fewer minor ailments predicted lower scores of Somatization, Obsessive–Compulsive, Interpersonal Sensitivity, Depression, Anxiety, Phobic Anxiety, Paranoid Ideation, Psychoticism, and a General Psychopathology Index. Higher facial fluctuating asymmetry was associated with higher Interpersonal Sensitivity, but did not contribute to its prediction when controlling for the other studied variables. Conclusions The observed strong associations between self-perceived attractiveness, minor ailments, and psychopathology indicate common developmental pathways between physiological and psychological symptomatology which may reflect broader life history (co)variation between genetics, developmental environment, and psychophysiological functioning.


Symmetry ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 1167
Author(s):  
Barry M. Dillon ◽  
Darius A. Faroughy ◽  
Jernej F. Kamenik ◽  
Manuel Szewc

We summarize our recent work on how to infer on jet formation processes directly from substructure data using generative statistical models. We recount in detail how to cast jet substructure observables’ measurements in terms of Bayesian mixed membership models, in particular Latent Dirichlet Allocation. Using a mixed sample of QCD and boosted tt¯ jet events and focusing on the primary Lund plane observable basis for event measurements, we show how using educated priors on the latent distributions allows to infer on the underlying physical processes in a semi-supervised way.


2021 ◽  
Author(s):  
Lorenz Wuehrl ◽  
Christian Pylatiuk ◽  
Matthias Giersch ◽  
Florian Lapp ◽  
Thomas von Rintelen ◽  
...  

Invertebrate biodiversity remains poorly explored although it comprises much of the terrestrial animal biomass, more than 90% of the species-level diversity, supplies many ecosystem services. Increasing anthropogenic threads also require regular monitoring of invertebrate communities. The main obstacle is specimen- and species-rich samples consisting of thousands of small specimens. Traditional sorting techniques require manual handling based on morphology and are too slow and labor intensive. Molecular techniques based on metabarcoding struggle with obtaining reliable abundance information. We here present a fully automated sorting robot for small specimens that are detected in the mixed sample using a convolutional neural network. Each specimen is then moved from the mixed sample to a well of a 96-well microplate in preparation for DNA barcoding. Prior to movement, the specimen is being photographed and assigned to 14 particularly common "classes" of insects in Malaise trap samples. The average assignment precision for the classes is 91.4 % (75-100 %) based on a preliminary neural network that is expected to improve further as more images are used for training. In order to obtain biomass information, the specimen images are also used to measure the specimen length and estimate the body volume. We outline how the "DiversityScanner" robot can be a key component for tackling and monitoring invertebrate diversity by generating large numbers of images that become training sets for species-, genus-, or family level convolutional neural networks, once the imaged specimens are classified with DNA barcodes. The robot also allows for taxon-specific subsampling of large invertebrate samples. We conclude that the combination of automation, machine learning, and DNA barcoding has the potential to tackle invertebrate diversity at an unprecedented scale.


2021 ◽  
Author(s):  
Duan Yanping ◽  
Lippke Sonia ◽  
Liang Wei ◽  
Borui Shang ◽  
Wagner Petra ◽  
...  

Abstract Background: Older adults are vulnerable to infection and infections developing into severe diseases during the COVID-19 pandemic. Performing individual preventive behaviors including hand washing frequently, facemask wearing and physical distancing play an important role to reduce the transmission of COVID-19 in the community. Identifying key correlates of the preventive behaviors that are modifiable through intervention is a recognized priority. This study aimed to examine the association of social-cognitive factors (motivational and volitional factors) with preventive behaviors in a mixed-sample of older adults from China and Germany and to evaluate the moderating effects of countries on the associations of these factors with preventive behaviors.Methods: Cross-sectional questionnaire surveys were conducted in China (June 2020 to July 2020) and Germany (June 2020 to February 2021). 578 older adults completed the online survey (N Chinese = 356, mean age = 67.75, SD = 6.24, 39.6% females; N German = 222, mean age = 69.09, SD = 6.9, 63.5% females). The questionnaire consisted of demographics, three preventive behaviors (hand washing, facemask wearing and physical distancing) before and during the pandemic, motivational factors (health knowledge, attitude, subjective norm, risk perception, motivational self-efficacy, intention) and volitional factors (volitional self-efficacy, planning and self-monitoring) of preventive behaviors. Univariate linear regressions and multiple hierarchical linear regressions with simple slope analyses were used. Results: The majority of motivational and volitional factors were associated with three preventive behaviors with small-to-moderate effect sizes (f2 = .02 to .17), when controlling for demographics and past preventive behaviors. When country was included in the regression models, it predicted all three preventive behaviors. Country also moderated five associations, including 1) volitional self-efficacy and hand washing, 2) self-monitoring and facemask wearing, 3) motivational self-efficacy and physical distancing, 4) volitional self-efficacy and physical distancing, and 5) planning and physical distancing. Conclusions: Findings underline the generic importance of modifiable factors and addressing them through preventive behavior interventions especially increasing health knowledge, developing intentions and plans, and strengthening self-efficacy among older adults. Country-related mechanisms should be considered when aiming to learn from other countries on the promotion of preventive behaviors.


2021 ◽  
Vol 12 ◽  
Author(s):  
Azad Hemmati ◽  
Fateh Rahmani ◽  
Bo Bach

The ICD-11 Classification of Personality Disorders and the DSM-5 Alternative Model of Personality Disorders (AMPD) operate with trait domains that contribute to the individual expression of personality disturbance (i.e., negative affectivity, detachment, dissociality, disinhibition, anankastia, and psychoticism). To date, these trait frameworks have not been investigated sufficiently in Middle Eastern cultures. Thus, the present study explored the structure of the ICD-11 and AMPD personality disorder (PD) trait domains in a large mixed sample from the Kurdistan zone of Iran. The ICD-11 and AMPD trait domains were operationalized using empirically supported algorithms for the Personality Inventory for DSM-5 (PID-5). The PID-5 was administered to a large mixed sample (N = 3,196) composed of 2,678 community and 518 clinical participants. Structural validity was investigated using Exploratory Factor Analysis (EFA), whereas differential construct validity was explored by comparing clinical and community scores. Model fit and the expected factor structure were deemed appropriate for the ICD-11 trait model, but less adequate for the DSM-5 trait model (i.e., disinhibition did not emerge as a separate factor). All domain and facet scores showed significant differences between clinical and community subsamples with moderate to large effects, mostly for disinhibition and dissociality/antagonism while least for anankastia. The findings of the present study may suggest that the ICD-11 trait model is more cross-culturally fitting than the DSM-5 AMPD trait model, at least with respect to a large mixed sample from the region of Kurdistan. Accordingly, there is evidence for using PID-5 data for WHO ICD-11 purposes in this part of the World.


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