Miracle-dz/UniFAR-FTUs huggingface dataset:
Array Observations for Narrow-Band Background Noises in the Hualien Area and Their Seismological Implications

Seismic observations in the Hualien area have been greatly disturbed by narrow-band background noise. Thus, the automatic earthquake trigging system of the Taiwan regional seismic network has been equally affected by the same background signals, the origin of which is still controversial. Herein, array measurements were conducted to account for this seismic noise and to recognize its seismic wave propagation properties. Five temporary arrays were designed to observe this background noise. Each array consisted of 15 three-component seismometers spaced from 100 to 300 meters apart. Observed data shows that a notable band limit background noise, in the frequency range of 1.3 to 1.7 Hz, was identified from its seismic power spectrum with strong separated peaks at 1.3 Hz, 1.4 Hz and 1.7 Hz. The origins and characteristics of the background noises were investigated using frequency-wavenumber analyses and waveform stacking techniques. Analyzed results suggested that the feasible sources of the narrow-band signals were located near the southwest boundary of the survey area. Based on particle motion analysis, the narrow-band seismic signals were identified as major Rayleigh wave type ground motions. In this survey area, microtremors were generated from multiple origins. However, the major signal sources remain stable in the southwest. Those signals were also examined with regard to persistence over time from a permanent seismic station leading to the inference that the source of that background noise was industrial in origin.
Optimal Reserve Management and Sovereign Debt

To study the joint decision of holding sovereign debt and reserves, we construct a stochastic dynamic equilibrium model that incorporates willingness-to-pay incentive problems. In this setup, debt and assets are not perfect substitutes, as reserves can be used even after a country has defaulted. We calibrate the model to a sample of emerging markets. We obtain that the reserve accumulation does not play a quantitatively important role in this model. In fact, the optimal policy is not to hold reserves at all. This finding is robust to considering interest rate shocks, sudden stops, contingent reserves and reserve dependent output costs.
Temporal variations of particle fluxes in the deep subtropical and tropical North Atlantic: Eulerian versus Lagrangian effects

The flux of particles measured by sediment traps in the deep water of the Sargasso Sea and western tropical North Atlantic undergoes pronounced temporal variation. In the Sargasso Sea the variability is largely due to seasonal changes in mixed-layer depth and attendant changes in primary productivity affecting a wide region. By contrast, the variability in the western tropical Atlantic appears to be caused by patches of elevated nutrient and pigment concentrations which have their origin in the plumes of the Amazon and Orinoco rivers. Coastal zone color scanner scenes demonstrate the great seasonal and interannual differences in the direction and dispersal patterns of the plumes. The river plumes break up into irregular patches which may pass through the catchment area of a sediment trap at varying rates, thereby creating the impression of almost random temporal flux variability at a fixed trap site.
LPG-SLAM: a Light-weight Probabilistic Graph-based SLAM

— Most of Current autonomous navigation solutions critically rely on SLAM systems for localisation, especially in GPS-denied environments but also in urban and indoor environments. Their efficacy an d effi ciency thus depend on the ability of the underlying SLAM method to map large-scale environments in a data-efficient ma nner. State of the art systems, while accurate, often require powerful hardware such as GPUs, and need careful tuning of hyper-parameters in order to adapt to the user’s needs. In this paper, we propose a light-weight but accurate probabilistic 2D graph-based SLAM system. We validate our approach on sequences from the KITTI dataset as well as on data gathered by our experimental platform.
Late Quaternary aggradation rates and stratigraphic architecture of the southern Po Plain, Italy

The Po River Basin, where accumulation and preservation of thick sedimentary packages are enhanced by high rates of tectonic subsidence, represents an ideal site to assess the relations between vertical changes in stratigraphic architecture and sediment accumulation rates. Based on a large stratigraphic database, a markedly contrasting stratigraphy of Late Pleistocene and Holocene deposits is reconstructed from the subsurface of the modern alluvial and coastal plains. Laterally extensive fluvial channel bodies and related pedogenically modified muds of latest Pleistocene age are unconformably overlain by Holocene overbank fines, grading seaward into paralic and nearshore facies associations. In the interfluvial areas, a stiff paleosol, dating at about 12.5–10 cal ky BP, marks the Pleistocene–Holocene boundary. Across this paleosol, aggradation rates (ARs) from 16 radiocarbon‐dated cores invariably show a sharp increase, from 0.1–0.9 mm year−1 to 0.9–2.9 mm year−1. Comparatively lower Pleistocene values are inferred to reflect fluvial activity under a low‐accommodation (lowstand and early transgressive) regime, whereas higher ARs during the Holocene are related to increasing accommodation under late transgressive and highstand conditions. Holocene sediment accumulation patterns vary significantly from site to site, and do not exhibit common trends. Very high accumulation rates (20–60 mm year−1) are indicated by fluvial channel or progradational delta facies, suggesting that extremely variable spatial distribution of Holocene ARs was primarily controlled by autogenic processes, such as fluvial channel avulsion or delta lobe switching. Contrasting AR between uppermost Pleistocene and Holocene deposits also are reported from the interfluves of several coeval, alluvial‐coastal plain systems worldwide, suggesting a key control by allogenic processes. Sediment accumulation curves from adjacent incised valley fills show, instead, variable shapes as a function of the complex mechanisms of valley formation and filling.
E ﬃ cacy of polyextremophilic Aeribacillus pallidus on bioprocessing of beet vinasse derived from ethanol industries

This work aimed to evaluate the applicability of Aeribacillus pallidus for the aerobic treatment of the concentrated beet vinasse with high chemical oxygen demand (COD 685 g.L − 1 ) that is de ﬁ ned as an environmental pollutant. This bacterium is a polyextremophilic strain and grow aerobically up to 7.5% vinasse at high temperature (50 °C). In the bioreactor and under controlled conditions, A. pallidus reduced the soluble COD content of 5% vinasse up to 27% during 48 h and utilized glucose and glycerol, completely. Furthermore, a reduction of manganese, copper, aluminum, and nickel concentrations was observed in the treated vinasse with A. pallidus . The obtained results make this strain as an appropriate alternative to be used for the aerobic bioprocessing of the vinasse.
: EFFECTS OF DIETARY OREGANO ON CHICKEN MEAT

18 Three consecutive trials were performed to determine the effect of dietary oregano aqueous extract 19 on meat fatty acid profile, meat quality and sensorial properties, compared to high level of α-20 tocopherol, in chickens fed a diet rich in polyunsaturated fatty acids (PUFA). 21 For each trial, one hundred and seventy-one day old Ross 308 chicks per trial were randomly divided 22 in replicates of 19 birds each and assigned to one of three experimental diets: 1) basal control diet, 2) 23 basal diet supplemented with 0.2 g/kg of oregano aqueous extract and 3) basal diet supplemented 24 with 150 ppm of vitamin E. To better analyze the antioxidant activity of both oregano and vitamin E, 25 all the experimental diets were enriched with a fatty acid supplement consisting in a mixture PUFA 26 at the same dose (1.16 %) in both starter and finisher feeds. Oregano supplementation positively 27 influenced (P<0.05) broiler live performance. No differences were observed in physical-chemical and 28 proximal composition or in total fatty acid composition of breast meat. Dietary oregano influenced 29 meat composition in terms of total phenolics content, antioxidant capacity and thiobarbituric acid-30 reactive substances, improving meat resistance to oxidation, compared to both other groups. During 31 consumer tests, meat from the three dietary groups obtained the same liking score in blind session. 32 Under informed condition, consumers perception was ‘positively influenced by labeling for all the 33 considered attributes. Furthermore, consumers showed an higher expectation for meat derived from 34 chickens fed oregano then meat deriving from the other two groups. 35 Results obtained in the present study allow to state that using Origanum vulgare aqueous extract in 36 diet enriched with PUFA can represent valid solution to increase live weight of chickens, improving 37 resistance to oxidation of meat and positively influence consumer perception of poultry meat.
Creative Space: A Systematic Review of the Literature

This paper provides an overview of the state-of-the-art research about creative work and learning environments. We conducted a systematic literature search within the Scopus database and identified a total of 70 relevant sources discussing creative spaces within academic, practice, or other innovation environments. Among the included sources are 48 academic publications and 22 sources from company research and illustrative coffee-table books that are discussed separately. We analyse the academic sources regarding their theoretical contribution, as well as regarding their scope. Finally, the included sources are categorized according to three areas of interest: (1) the addressed space types for different creative activities, (2) abstracted requirements for creative spaces, and (3) concrete characteristics and configurations of a creative space. The results provide an in-depth insight into the current state of research on the topic of creative spaces. Practitioners, educators, and researchers can use the presented overview to investigate the possible impact of creative workspace design and to identify research gaps for conducting further research in the field.
of EEG acitivity propagation: pairwise versus multichannel

In this paper, existence of information flow between different locations of the brain have been analyzed by multivariate auto-regressive modelling where the auditory evoked potentials were measured from several electrodes. The estimation of the information flow was performed by evaluating the partial directed coherence (PDC) and the directed transfer function (DTF) which are function of frequency within the values 0 and 1. When the post-stimulus time interval was analyzed it was observed that both of the methods illustrates the frequency localization where the information flow occurs and the estimation could be performed by given methods. The frequency resolution of the methods depends on the sampling rate and model order. It was determined that the given methods are matched with each other.
Pothole Detection Using Deep Learning And Image Processing

— Pothole location is one of the main errands for street support. PC vision approaches are by and large in light of either street picture investigation or street surface displaying. In any case, these two classifications are constantly utilized freely. Besides, the pothole recognition precision is still a long way from good. Along these lines, for current framework, we provide a powerful pothole discovery calculation which is exact and computably productive. A thick difference map is primarily changed to more readily recognize harmed and whole street regions. To accomplish more noteworthy difference change effectiveness, brilliant segment search and dynamic writing computer programs are used to assess the change boundaries. This strategy is then used to separate potential flawless street regions from the changed difference map naturally recognize pot opening on street utilizing YOLOv3 engineering with darknet system and profound learning. This framework likewise investigates the chance of custom preparation of YOLOv3 based recognition models utilizing pot opening pictures Knowledge dataset.
Particle Swarm Optimization to minimize THD in Multilevel Inverters

This paper deals with the reduction of the harmonic content of the output voltage of a single-phase multi-level cascaded inverter which is optimized using the Particle Swarm Optimization (PSO) technique. The operating parameters of the inverter are modified, such as the number of stages, the voltage at the sources and the switching pattern to achieve a minimum configuration that satisfies a Total Harmonic Distortion (THD) of less than 5% and the less possible number of power semiconductor devices. Key-Words: THD, PSO, step modulation, SPWM, MCSPWM
Exopolysaccharide biosynthesis, a tool to improve malolactic starter performance

Oenococcus oeni is the lactic acid bacterium that most commonly drives malolactic fermentation (MLF) in wine. Though the importance of MLF in terms of wine microbial stability and sensory improvement is well established, it remains a winemaking step not so easy to control. O. oeni displays many adaptation tools to resist the harsh wine conditions which explain its natural dominance at this stage of winemaking. Previous ﬁndings showed that capsular polysaccharides and endogenous produced dextran increased the survival rate and the conservation time of malolactic starters. In this paper, we showed that exopolysaccharides speciﬁc production rates were increased in the presence of single stressors relevant to wine (pH, ethanol). The transcription of the associated genes was investigated in distinct O. oeni strains. The conditions in which eps genes and EPS synthesis were most stimulated were then evaluated for the production of freeze dried malolactic starters, for acclimation procedures and for MLF efﬁciency. Sensory analysis tests on the resulting wines were ﬁnally performed
Contrastive Intrinsic Control for Unsupervised Reinforcement Learning

We introduce Contrastive Intrinsic Control (CIC), an unsupervised reinforcement learning (RL) algorithm that maximizes the mutual information between state-transitions and latent skill vectors. CIC utilizes contrastive learning between state-transitions and skills vectors to learn behaviour embeddings and maximizes the entropy of these embeddings as an intrinsic reward to encourage behavioural diversity. We evaluate our algorithm on the Unsupervised RL Benchmark (URLB) in the asymptotic state-based setting, which consists of a long reward-free pre-training phase followed by a short adaptation phase to downstream tasks with extrinsic rewards. We find that CIC improves over prior exploration algorithms in terms of adaptation efficiency to downstream tasks on state-based URLB. 1 Deep RL is a powerful approach toward solving complex control tasks in the presence of extrinsic rewards. Successful applications include playing video games from pixels [1], mastering the game of Go [2, 3], robotic locomotion [4, 5, 6] and dexterous manipulation [7, 8, 9] policies. While effective, the above advances produced agents that are unable to generalize to new downstream tasks beyond the one they were trained to solve. Humans and animals on the other hand are able to acquire skills with minimal supervision and apply them to solve a variety of downstream tasks. In this work, we seek to train agents that acquire skills without supervision with generalization capabilities by efficiently adapting these skills to downstream tasks.
Impacts of different drains on the seawater quality of El-Mex bay (Alexandria, Egypt)

El Mex Bay area received domestic, industrial and agricultural waste water from the surrounding area. The need to pay much attention to the potential effects of anthropogenic inputs upon the hydrochemical characteristics of the bay is an emergency. Several water samples have been analyzed for physico-chemical characteristics during 2010/2011: Seven samples from El Mex bay and 4 samples from drains. The study revealed that pH, salinity, dissolved oxygen, oxidizable organic matter, biological oxygen demand, and chlorophylls-a,b.c, were in the ranges 7.16-8.97; 0.3–42.04; ND–22.26 mg/L; 0.4–112.00 mg O2 /L; 3.23– 111.29 mg/L; 0.11–241.91 μg/L; 0.03-242.78 μg/L and 0.01-239.55 μg/L, respectively. The increasing organic supply introduced into the studied restricted area characterized by its relative slow rate of selfpurification results in elevation of OOM compared to previous studies. The ranges of nutrients (μM/L) were: 0.15-2815.85, 0.28–22.85, 0.2–58.42, 0.25-30.45 and 0.11-40.23 for ammonia, nitrite, nitrate, reactive phosphate and reactive silicate, respectively. Principle Component Analysis (PCA) which was used to develop water quality index (WQI) revealed that El-Dekhila Head and El Qalaa drain were the most polluted sampling sites that resulted from the disposal of industrial, agricultural and domestic wastes. Depending on DIN/DIP ratio of seawater for El-Mex Bay and adjacent drains the majority of the investigated area sums to be P-limited.
Response in Metastatic Colorectal Cancer Associated With Hyper-Indel – Hypermutated Cancer Genome and Comutation of POLD1 and MLH1

Purpose A 73-year-old woman with metastatic colon cancer experienced a complete response to chemotherapy with dose-intensified irinotecan that has been durable for 5 years. We sequenced her tumor and germ line DNA and looked for similar patterns in publicly available genomic data from patients with colorectal cancer. Patients and Methods Tumor DNA was obtained from a biopsy before therapy, and germ line DNA was obtained from blood. Tumor and germline DNA were sequenced using a commercial panel with approximately 250 genes. Whole-genome amplification and exome sequencing were performed for POLE and POLD1 . A POLD1 mutation was confirmed by Sanger sequencing. The somatic mutation and clinical annotation data files from the colon (n = 461) and rectal (n = 171) adenocarcinoma data sets were downloaded from The Cancer Genome Atlas data portal and analyzed for patterns of mutations and clinical outcomes in patients with POLE - and/or POLD1 - mutated tumors. Results The pattern of alterations included APC biallelic inactivation and microsatellite instability high (MSI-H) phenotype, with somatic inactivation of MLH1 and hypermutation (estimated mutation rate > 200 per megabase). The extremely high mutation rate led us to investigate additional mechanisms for hypermutation, including loss of function of POLE . POLE was unaltered, but a related gene not typically associated with somatic mutation in colon cancer, POLD1 , had a somatic mutation c.2171G > A [p.Gly724Glu]. Additionally, we noted that the high mutation rate was largely composed of dinucleotide deletions. A similar pattern of hyper-mutation (dinucleotide deletions, POLD1 mutations, MSI-H) was found in tumors from The Cancer Genome Atlas.
Edinburgh Research Explorer Meta-analysis of genome-wide association studies for personality

Personality can be thought of as a set of characteristics that influence people’s thoughts, feelings, and behaviour across a variety of settings. Variation in personality is predictive of many outcomes in life, including mental health. Here we report on a meta-analysis of genome-wide association (GWA) data for personality in ten discovery samples (17 375 adults) and five in-silico replication samples (3 294 adults). All participants were of European ancestry. Personality scores for Neuroticism, Extraversion, Openness to Experience, Agreeableness, and Conscientiousness were based on the NEO Five-Factor Inventory. Genotype data were available of ~2.4M Single Nucleotide Polymorphisms (SNPs; directly typed and imputed using HAPMAP data). In the discovery samples, classical association analyses were performed under an additive model followed by meta-analysis using the weighted inverse variance method. Results showed genome-wide significance for Openness to Experience near the RASA1 gene on 5q14.3 (rs1477268 and rs2032794, P = 2.8 × 10 −8 and 3.1 × 10 −8 ) and for Conscientiousness in the brain-expressed KATNAL2 gene on 18q21.1 (rs2576037, P = 4.9 × 10 −8 ). We further conducted a gene-based test that confirmed the association of KATNAL2 to Conscientiousness. In-silico replication did not, however, show significant associations of the top SNPs with Openness and Conscientiousness, although the direction of effect of the KATNAL2 SNP on Conscientiousness was consistent in all replication samples. Larger scale GWA studies and alternative approaches are required for confirmation of KATNAL2 as a novel gene affecting Conscientiousness.
OF PRIMARY SCHOOL-AGE CHILDREN WITH

the following methods were used: Blob Tree test (P. Wilson) to determine motivation and adaptation of children in a group setting. The projective „Family Sociogram‟ test (E.G. Aidemiller) to determine the place of the subject in the system of interpersonal relationships and to assess the nature of communication within the family. A modified version of A. Etkind’s Color Relations Test was used to determine individual typological personality characteristics and attitudes towards significant people and the surrounding environment on both a conscious and partially unconscious level. Clinical laboratory examination included measuring levels of secretory IgA and lysozyme in unstimulated saliva. Results . When analyzing the data obtained, a statistically significant difference was found between the results of children in the main and control groups. Conclusions . During color selection, children with RRIs more often associated themselves with the color red (40.7 %), their mothers with purple (40.7 %), and kindergarten or school with yellow (29.7 %) compared to episodically ill peers (p < 0.05). Children with RRIs in the „Family Sociogram‟ test more often than episodically ill peers demonstrated reduced self-esteem (73 % vs. 30 %, p = 0.038). In the Blob Tree test, children with RRIs differ in their first choice (current position in the group) from episodically ill peers (p < 0.0001). The level of sIgA and lysozyme in saliva in the group of children with RRIs correlates with the sensory choice of color for the mother (p < 0.0001).
scGRNom: a computational pipeline of integrative 1 multi-omics analyses for predicting cell-type disease 2 genes and regulatory networks 3

Understanding cell-type-specific gene regulatory mechanisms from genetic variants to diseases 26 remains challenging. To address this, we developed an open-source computational pipeline, 27 scGRNom, to predict the cell-type disease genes and regulatory networks from multi-omics data, 28 including cell-type chromatin interactions, epigenomics
Author ' s personal copy Comparison between supervised and unsupervised learning of probabilistic linear discriminant analysis mixture models for speaker verification

We present a comparison of speaker verification systems based on unsupervised and supervised mixtures of probabilistic linear discriminant analysis (PLDA) models. This paper explores current applicability of unsupervised mixtures of PLDA models with Gaussian priors in a total variability space for speaker verification. Moreover, we analyze the experimental conditions under which this application is advantageous, taking into account the existing limitations of training database sizes, provided by the National Institute of Standards and Technology (NIST). We also present a full derivation of the Maximum Likelihood learning procedure for PLDA mixture. Experimental results for a cross-channel NIST Speaker Recognition Evaluation (SRE) 2010 verification task show that unsupervised PLDA mixture is more effective than other state-of-the-art methods. We show that for this task a combination of a homogeneous i-vector extractor and a mixture of two Gaussian PLDA models is more effective than a cross-channel i-vector extractor with a single Gaussian PLDA. 2013 Elsevier B.V. All rights reserved.