Miracle-dz/UniFAR-FTUs huggingface dataset:
In situ fast marking study of manila clams (Ruditapes philippinarum)

Arcachon Bay, in the southern Bay of Biscay, is the first French production area of Manila clam (Ruditapes philippinarum) with an annual commercial fisheries production around 400 tons in recent years. This bivalve mollusc was introduced into the bay in the 1980s for aquaculture purpose and quickly succeeded in natural settlement so that its high market value led to the progressive establishment of a perennial fishery from the mid-1990s. Local management plans applied to this species are based on a licensing system for the commercial, protected fishery areas and days of prohibited fishing for both commercial and recreational fishermen. A minimum catch size is also prescribed by European regulation, and so growth rates are an important matter in this context. This work focuses on studying shell growth from the recapture of shells, previously marked using a chemical marker (calcein) and then grown in natural conditions, and was performed in order to determine shell growth patterns. Manila clams were marked by immersion in situ in seawater containing calcein. In order to study the limitations of calcein on the mark readability in situ and manila clam mortality, various exposure times, from 30 minutes to 1 hour, and concentrations, from 50 mg.L-1 to 200 mg.L-1 were tested. After a period of 35 days, 69 growth micro-increments were observed, and, it was found that increment deposition in manila clams occurs with a tidal periodicity. Moreover, this study showed that a method for fast-marking of manila clams, and potentially other species, is feasible in situ.
Quality of life of NEET youth in comparative perspective: subjective well-being during the transition to adulthood

ABSTRACT In this study, we examine the self-reported subjective well-being (SWB) of youth who are ‘not in employment, education or training’ (NEET) across 24 countries in Europe. Theorizing from a youth transition regimes perspective focusing on the varying levels of social protection available to youth as well as social norms regarding the transition to adulthood, we attempt to understand the psychological outcomes associated with youth NEET statuses across country contexts. Using European Social Survey (ESS) data, we compare not only the SWB of NEET individuals with that of non-NEET youth, but also how it differs amongst specific NEET sub-categories. We hypothesize that the well-being of NEET youth will be highest where more comprehensive social protections are available, but that inequalities in well-being between NEET and non-NEET groups will be minimized in contexts where prolonged school-to-work transitions to adulthood are the social norm. We find that overall levels of well-being differ systematically amongst countries for both NEET and non-NEET groups, being highest in the Nordic countries. However, when examining relative scores that take into account the distribution of well-being within each country, we discover that inequalities between NEET sub-categories are also the most pronounced in these ‘universalistic’ contexts.
Impact Assessment in the Process of Propagating Climate Change Uncertainties into Building Energy Use

Buildings are subject to significant stresses due to climate change and design strategies for climate resilient buildings are rife with uncertainties which could make interpreting energy use distributions difficult and questionable. This study intends to enhance a robust and credible estimate of the uncertainties and interpretations of building energy performance under climate change. A four-step climate uncertainty propagation approach which propagates downscaled future weather file uncertainties into building energy use is examined. The four-step approach integrates dynamic building simulation, fitting a distribution to average annual weather variables, regression model (between average annual weather variables and energy use) and random sampling. The impact of fitting different distributions to the weather variable (such as Normal, Beta, Weibull, etc.) and regression models (Multiple Linear and Principal Component Regression) of the uncertainty propagation method on cooling and heating energy use distribution for a sample reference office building is evaluated. Results show selecting a full principal component regression model following a best-fit distribution for each principal component of the weather variables can reduce the variation of the output energy distribution compared to simulated data. The results offer a way of understanding compound building energy use distributions and parsing the uncertain nature of climate projections.
Study the engineering and chemical properties of tarwad (Cassia tora L.) seed powder

Cassia tora L. is legume anniual plant of species in which the seeds grow to develop into pods. It is also known as sickle pod, tora, coffee pod, tovara, chakvad, thakara in Malayalam foetid cassia. Tarwad is a dicot legume in the family and subfamily Caesalpinioideae. It grows wild in most of the tropics and is considered as a weed. Its native range is probably South Asia. Its most common English name is sickle senna or sickle wild sensitive-plant. Tarwad with high nutritive value is available abundantly in India. It is an “Underutilized Vegetable”, plant resistant to pests, diseases and thrives well in minimally nutritive soils. It is an annual foetid herb, 30-90 cm high. Leaves are green in colour, pinnate, up to 6-8 cm long, leaflets are in 3 pairs, distinctly petioled, opposite, conical at one end, ovate, oblong and base oblique. Flowers are pale yellow in color usually in nearly sessile pairs in the axils of the leaves with five petals, upper one are very crowded. Pods are substrate or 4 angled, very slender, 6-12 inch long, incompletely septet, membranous with numerous brown oblong, rhombohedral seeds. The engineering properties of tarwad (cassia tora L.) seeds were observed. The average shape, length, width, thickness, GMD, kernel weight, bulk density, tapped density, true density, angle of repose and coefficient of friction of tarwad seed was found to be irregular and rectangular, 4.37 mm, 2.16 mm, 2.08 mm, 2.69 mm, 29.24 g, 0.87 g/ml, 0.89 g/ml, 1.3 g/ml, plywood (16.4± 0.16) degree and plywood (130.2± 1.98), respectively. The engineering properties of tarwad (cassia tora L.) seed powder were observed. The average colour, angle of repose, bulk density, tapped density, carr’s index, hausners ratio and average particle size of tarwad seed powder was found to be yellowish, 35.02 degree, 0.608 g/ml, 0.690 g/ml, 11.71 per cent, 1.12 and 0.33 mm. The chemical properties of tarwad seed powder were observed. The average moisture content, ash content, crude fat, crude protein, crude fibre, carbohydrate, non-protein nitrogen, true protein and free amino acids of tarwad seed powder was found to be 5.55 per cent, 3.57 per cent, 1.06 per cent, 15.72 per cent, 4.07 per cent, 69.46 per cent, 0.25 per cent, 12.37 per cent and 0.99 per, cent respectively. The minerals content of tarwad seed powder was observed. The average of Ca, Mg, Fe, Cu, and Zn of tarwad seed powder was found to be observed that the mineral content of tarwad seed powder was found to be 70.522 mg/l, 11.122 mg/l, 0.4596mg/l, 0.003 mg/l and 0.8483 gm/l respectively. The water holding capacity in tarwad seed powder was found to be non-significantly superior in S2 Size. The water holding capacity of tarwad seeds powder was observed highest in case of S2 Size 80.02 per cent. Products prepared from tarwad seed powder i.e Pakoda and sweet shira showed better results for 4% concentration of tarwad seed powder as campier to 8% and 12% concentration of tarwad seed powder.
Semiparametric Volatility Model with Varying Frequencies

In extracting time series data from various sources, it is inevitable to compile variables measured at varying frequencies as this is often dependent on the source. Modeling from these data can be facilitated by aggregating high frequency data to match the relatively lower frequencies of the rest of the variables. This however, can easily loss vital information that characterizes the system ought to be modelled. Two semiparametric volatility models are postulated to account for covariates of varying frequencies without aggregation of the data to lower frequencies. First is an extension of the autoregressive integrated moving average with explanatory variable (ARMAX) model, it integrates high frequency data into the mean equation (VF-ARMA). Second is an extension of the Glosten, Jagannathan and Rankle (GJR) model that incorporates the high frequency data into the variance equation (VF-GARCH). In both models, high frequency data was introduced as a nonparametric function in the model. Both models are estimated using a hybrid estimation procedure that benefits from the additive nature of the models. Simulation studies illustrate the advantages of postulated models in terms of predictive ability compared to generalized autoregressive conditionally heteroscedastic (GARCH) and GJR models that simply aggregates high frequency covariates to the same frequency as the output variable. Furthermore, VF-ARMA is superior to VF-GARCH since it exhibits some degree of robustness in a wide range of scenarios.
Child Support Enforcement and Infants Health Outcomes

This paper explores the potential externality of enforcements in child support policies on infants’ health outcomes. Exploiting the variations in ch ild support policies across states and over the year and using the universe of birth records in the US (1975-2004), I document that the policies were effective in improving birth outcomes. Infants born to single mothers in states that fully adopt child support policies have on average 38 grams higher birth weight and 99 basis points lower likelihood of being born with low birth weight. These effects hold for a wide range of health outcomes. The marginal impacts are larger for mothers in states above-median changes in child support policies and for mothers who reside in poorer states. The results suggest that a higher quantity of prenatal care and better timing of prenatal care could be possible mechanisms of impact. This study contributes to the existing literature by providing the first evidence of health externality of child support policies for infants’ health outcomes. Contribution/Originality: This paper contributes to existing literature by exploring the potential externality of enforcements in child support policies on infants’ health outcomes.
Facile Preparation of the Porous PDMS Oil‐Absorbent for Oil/Water Separation

Nowadays, oily wastewater and spilled oil have caused great threats on both ecosystem and human life. To address these severe problems, considerable efforts have been possessed on developing novel oil/water separation materials. The porous oil‐absorbent materials, especially the porous polydimethylsiloxane (PDMS) with excellent properties of easy fabrication and inherent hydrophobicity, have attracted tremendous attentions from worldwide. The conventional methods using salt or sugar as sacrificial template and water as solvent have been widely adopted to fabricate the porous PDMS sponge. Due to the inherent hydrophobicity of PDMS, the solvent of water hardly penetrates into the inside of PDMS, which results in the difficult and incomplete remove of the hard template. In this contribution, the 3D interconnected porous PDMS sponge is facilely prepared by utilizing a modified technique with the citric acid monohydrate as hard template and ethanol as solvent. The proposed approach is capable of removing the hard template efficiently and thoroughly, which demonstrates promising utilizations in practical applications.
Weekly variations of biomechanical load variables in professional soccer players: comparisons between playing positions

Purpose. The purpose of the present study was fourfold: (i) to describe the weekly variations of acute external load measures during a professional soccer season; (ii) to analyse the variability of external load measures within weeks; (iii) to analyse the acute:chronic workload ratio of players during the process; and (iv) to analyse the differences of external load measures between playing positions. Methods. Twenty professional soccer players (age: 24.9 ± 3.5 years; body mass: 71.6 ± 18.7 kg; height: 168.8 ± 41.4 cm) from the same team competing in the First Portuguese League (Europe) voluntarily participated in this study. They were daily monitored with a Global Positioning System (GPS) and the following external load variables were extracted per session: (i) total distance; (ii) running distance; (iii) high-speed running distance; (iv) distance at maximal speed; (v) distance at high accelerations; and (vi) players’ training load. The acute load and acute:chronic workload ratio were weekly calculated for each of the GPS measures. Results. Week-by-week variations ranged from –57% to +115%, depending on the playing position and the variable measured. The within-week variability revealed coefficients of variation between 48% and 55%, depending on the measure. Considering the differences in mean load between playing positions, significant differences between players were found for the majority of the variables, with the only exceptions being maximal speed and high accelerations distances. Conclusions. Great between-week variations in the acute load as well as the variability of load within weeks were found. It was observed that acute load was position-dependent.
Community-level face mask usage in Boston, MA

What is already known about this topic? Community-level face mask use is encouraged as an important preventive measure against COVID-19 transmission, and evidence suggests that jurisdictions which implement face mask mandates see a subsequent decline in COVID incidence. What is added by this report? In the Greater Boston area when a face mask mandate is in effect, 95% of people observed were wearing some type of face covering. Most of which were wearing fabric/cloth coverings (51%) or single use surgical masks (40%). Of those wearing a face covering, 85% were appropriately fitted. Indoor locations have higher adherence of appropriately worn face masks, compared to outdoor locations. What are the implications for public health practice? Adherence with face mask mandates was very high, but many individuals wore fabric face masks with unknown filtration efficacy. In addition, it was common for individuals to mis-wear, adjust, or remove their masks. Public health policies requiring mask use should include messaging about appropriate type and best practices for use.
Debulking of Advanced Gastrointestinal Stromal Tumor With Peritoneal Carcinomatosis Refractory to Imatinib and Sunitinib: A Case Report

Gastrointestinal stromal tumors (GISTs) are non-epithelial stromal tumors that arise in the gastrointestinal tract. Pharmacological treatments for GIST are tyrosine kinase inhibitors. For metastatic disease, debulking may be helpful in reducing the tumor burden, thus increasing the effectiveness of tyrosine kinase inhibitors. Debate on whether resection would benefit the patient is still present. Here is a case of a 52-year-old African American male presenting with metastatic malignant GIST with peritoneal carcinomatosis refractory to imatinib and sunitinib. Since this patient had stage IV metastasis it was ultimately decided to proceed with a therapeutic debulking procedure. For this patient, the procedure increased the effectiveness of the medication and reduced mass effect symptoms, improving quality of life.
LATENT CROSS-POPULATION DYNAMIC TIME-SERIES ANALYSIS OF HIGH-DIMENSIONAL NEURAL RECORDINGS

An important problem in analysis of neural data is to characterize interactions across brain regions from high-dimensional multiple-electrode recordings during a behavioral experiment. Lead-lag effects indicate possible directional ﬂows of neural information, but they are often transient, appearing during short intervals of time. Such non-stationary interactions can be difﬁcult to identify, but they can be found by taking advantage of the replication structure inherent to many neurophysiological experiments. To describe non-stationary interactions between replicated pairs of high-dimensional time series, we developed a method of estimating latent, non-stationary cross-correlation. Our approach begins with an extension of probabilistic CCA to the time series setting, which provides a model-based interpretation of multiset CCA. Because the covariance matrix describing non-stationary dependence is high-dimensional, we assume sparsity of cross-correlations within a range of possible interesting lead-lag effects. We show that the method can perform well in realistic settings and we apply it to 192 simultaneous local ﬁeld potential (LFP) recordings from prefrontal cortex (PFC) and visual cortex (area V4) during a visual memory task. We ﬁnd lead-lag relationships that are highly plausible, being consistent with related results in the literature.
Further results on stabilization of stochastic differential equations with delayed feedback control under $ G $-expectation framework

In this paper we establish a comparison approach to study stabilization of stochastic differential equations driven by \begin{document}$ G $\end{document} -Brownian motion with delayed ( \begin{document}$ G $\end{document} -SDDEs for short) feedback control. This theory also extends to a general range of moment order and brings more choices of \begin{document}$ p $\end{document} . Finally, a simple example is proposed to demonstrate the applications of our theory.
Estimation of nutritional potential in leafy mustard (Brassica juncea var. rugosa) germplasm: Chemical characterization

Leafy Mustard (Brassica juncea var. rugosa) is a popular green vegetable grown in plains and hills of Northern India. It is a rich source of vitamins, minerals and protein. The present investigation carried out with 31 germplasm during November–February 2018–2019 at Vegetable Research Center (VRC). Nutraceutical properties of each genotype were determined at G.B. P.U. A & T. Laboratory Pantnagar. The estimation of micronutrient (iron, zinc manganese by atomic absorption spectrophotometer), macronutrient (phosphorus and potassium by spectrophotometer and flame photometer), protein and nitrogen (by Kjeldahl method) were done. Analysis of coefficient of variation showed significant differences among the genotypes for all the traits. All 31 genotypes showed variability in neutraceutical property. Highest protein content (33.38%), nitrogen (5.55%), phosphorus (1400.33 mg/100g), potassium (2770.00 mg/100g), iron (30.56 mg/100g), zinc (5.73 mg/100g) and manganese (4.94 mg/100g) was observed in PLM-16. We can state that above genotypes were promising and can be utilized for further improvement programme in leafy mustard. The genotypes which are rich in neutraceutical properties can be used for plant biofortification.
Anisotropic 𝑝-Laplacian Evolution of Fast Diffusion Type

Abstract We study an anisotropic, possibly non-homogeneous version of the evolution 𝑝-Laplacian equation when fast diffusion holds in all directions. We develop the basic theory and prove symmetrization results from which we derive sharp L1L^{1}-L∞L^{\infty} estimates. We prove the existence of a self-similar fundamental solution of this equation in the appropriate exponent range, and uniqueness in a smaller range. We also obtain the asymptotic behaviour of finite mass solutions in terms of the self-similar solution. Positivity, decay rates as well as other properties of the solutions are derived. The combination of self-similarity and anisotropy is not common in the related literature. It is however essential in our analysis and creates mathematical difficulties that are solved for fast diffusions.
Segmenting Hybrid Trajectories using Latent ODEs

Smooth dynamics interrupted by discontinuities are known as hybrid systems and arise commonly in nature. Latent ODEs allow for powerful representation of irregularly sampled time series but are not designed to capture trajectories arising from hybrid systems. Here, we propose the Latent Segmented ODE (LatSegODE), which uses Latent ODEs to perform reconstruction and changepoint detection within hybrid trajectories featuring jump discontinuities and switching dynamical modes. Where it is possible to train a Latent ODE on the smooth dynamical flows between discontinuities, we apply the pruned exact linear time (PELT) algorithm to detect changepoints where latent dynamics restart, thereby maximizing the joint probability of a piece-wise continuous latent dynamical representation. We propose usage of the marginal likelihood as a score function for PELT, circumventing the need for model complexity-based penalization. The LatSegODE outperforms baselines in reconstructive and segmentation tasks including synthetic data sets of sine waves, Lotka Volterra dynamics, and UCI Character Trajectories.
Evaluation of quality protein maize (QPM) inbred lines and their f1’s under natural epiphytotic and artificial conditions for turcicum leaf blight [(Exserohilum turcicum) (pass.) Leonard and Suggs.]

Maize (Zea mays L.), a staple food crop in many parts of the world, is affected by many diseases that reduce yield varies from 28 to 91 percent. A set was obtained by crossing ten QPM inbred lines in 10×10 diallel fashion. In total sixty lines including parents, F1’s and standard check (HQPM-1, HQPM-4, HQPM-7, PRATAP QPM-1 and VIVEK QPM-9) were evaluated against leaf blight (Exserohilum turcicum) of maize under field conditions and artificial conditions during kharif 2016 and 2017, respectively. The fourteen cross combination CML163 × CML161, BAJIMQ-08-26 × CML171, CML180 × BAJIMQ-08-26, CML170 × CML161, CML189 × CML162, CML193 × CML163, CML180 × CML163, CML180 × BAJIMQ-08-27, CML180 × CML170, BAJIMQ-08-26 × CML189, CML180 × CML161, CML171 × CML163, CML163 × CML162 and CML189 × CML163 and among the parents CML171 exhibited moderately resistance (MR) for Turcicum leaf blight under natural epiphytotic conditions, whereas only five cross combinations CML170 × CML162, CML193 × BAJIMQ-08-27, CML180 × CML163, CML189 × CML161, CML180 × CML189 and one parent (BAJIMQ-08-26) showed moderately resistance (MR) for turcicum leaf blight under artificial epiphytotic conditions. These lines identified to possess low disease incidence scores against Turcicum leaf blight in the present study could be used successfully in developing genotypes having a desirable level of resistance in disease-endemic areas to aim for sustainable productivity.
A Knowledge-Based Pilot Study on Assessing the Music Influence

A knowledge-driven approach is proposed for assessing the music influence on university students. The proposed method of modeling and conducting the interactive pilot study can be useful to convey other surveys, interviews, and experiments created in various phases of the user interface (UI) design processes, as part of a general human-computer interaction (HCI) methodology. Benefiting from existing semantic Web and linked data standards, best practices, and tools, a microservice-oriented system is developed as a testbed platform able to generate playlists in a smart way according to users’ music preferences. This novel approach could bring also benefits for user interface adaptation by using semantic Web techniques. Statistical analysis based on the ANOVA method and post-experiment survey data led to the conclusion that music listened has a significant impact on students’ cognitive abilities in various contexts. All obtained results were semantically enhanced by using different conceptual models in order to create a knowledge graph providing support for automated reasoning. Also, a knowledge-based persona Web smart editor was implemented in order to include music preferences for certain categories of the potential users operating a specific interactive system.