Miracle-dz/UniFAR-FTUs huggingface dataset:
Classification of the Microstructural Elements of the Vegetal Tissue of the Pumpkin (Cucurbita pepo L.) Using Convolutional Neural Networks

Although knowledge of the microstructure of food of vegetal origin helps us to understand the behavior of food materials, the variability in the microstructural elements complicates this analysis. In this regard, the construction of learning models that represent the actual microstructures of the tissue is important to extract relevant information and advance in the comprehension of such behavior. Consequently, the objective of this research is to compare two machine learning techniques—Convolutional Neural Networks (CNN) and Radial Basis Neural Networks (RBNN)—when used to enhance its microstructural analysis. Two main contributions can be highlighted from this research. First, a method is proposed to automatically analyze the microstructural elements of vegetal tissue; and second, a comparison was conducted to select a classifier to discriminate between tissue structures. For the comparison, a database of microstructural elements images was obtained from pumpkin (Cucurbita pepo L.) micrographs. Two classifiers were implemented using CNN and RBNN, and statistical performance metrics were computed using a 5-fold cross-validation scheme. This process was repeated one hundred times with a random selection of images in each repetition. The comparison showed that the classifiers based on CNN produced a better fit, obtaining F1–score average of 89.42% in front of 83.83% for RBNN. In this study, the performance of classifiers based on CNN was significantly higher compared to those based on RBNN in the discrimination of microstructural elements of vegetable foods.
Quality of government and regional trade: evidence from European Union regions

ABSTRACT Using a novel database of regional trade flows between 267 European regions for 2013, this paper examines how government quality affects trade between European Union (EU) regions. The results of a structural gravity cross-sectional analysis of trade show that trade across EU regions is highly influenced by differences in regional government quality. This influence varies by both sector of economic activity and the level of economic development of the region. The results indicate that if the less developed regions of the EU want to engage in greater interregional trade, improving their institutional quality is a must.
Comparison between Limestone and Silicate Corrective Associated Gypsum in the Growth of a Forage Grass

ABSTRACT Soil acidity is one of the most limiting factors in crop yield. We evaluated the effect of soil acidity correction with magnesium limestone and calcium (Ca) and magnesium (Mg) silicate associated gypsum application, on the growth of a forage grass. The experiment was conducted in a greenhouse with a soil sample from B horizon of a Rhodic Hapludox. The experimental, design was completely randomized blocks with seven treatments each replicated four times. Two sources of amendments (magnesium limestone and calcium and magnesium silicate) were incorporated in a surface (0 to 0.20 m) soil sample using three application methods: amendment without gypsum, amendment with gypsum incorporated in the sample, amendment with superficial application of gypsum, and a control treatment without amendment and gypsum. The limestone and silicate were effective in correcting acidity and increasing exchangeable soil bases in the 0.20 m layer. The use of acidity correctors combined with gypsum, mainly incorporated, neutralized toxic aluminum and increased the levels of sulfate and Ca in depth and the concentrations of Ca, Mg, nitrogen and phosphorus in dry weight of the shoot (DWS). The silicate increased the concentrations of silicon (Si) the soil up to 0.20 m depth and Si concentration in the plant. The silicate with gypsum provided greater production of DWS, while limestone with gypsum increased the production of dry weight of roots the plant. The application of silicate in complement to limestone, combined with incorporated gypsum is the most suitable method for soil correction in the implantation of mombaça grass.
Response of Monsoon Rainfall to Changes in the Latitude of the Equatorward Coastline of a Zonally Symmetric Continent

Recent studies have shown that the rapid onset of the monsoon can be interpreted as a switch in the tropical circulation, which can occur even in the absence of land–sea contrast, from a dynamical regime controlled by eddy momentum fluxes to a monsoon regime more directly controlled by energetic constraints. Here we investigate how one aspect of continental geometry, that is, the position of the equatorward coastal boundary, influences such transitions. Experiments are conducted with an aquaplanet model with a slab ocean, in which different zonally symmetric continents are prescribed in the Northern Hemisphere poleward from southern boundaries at various latitudes, with “land” having a mixed layer depth two orders of magnitude smaller than ocean. For continents extending to tropical latitudes, the simulated monsoon features a rapid migration of the convergence zone over the continent, similar to what is seen in observed monsoons. For continents with more poleward southern boundaries, the main precipitation zone remains over the ocean, moving gradually into the summer hemisphere. We show that the absence of land at tropical latitudes prevents the rapid displacement into the subtropics of the maximum in lower-level moist static energy and, with it, the establishment of an overturning circulation with a subtropical convergence zone that can transition rapidly into an angular momentum–conserving monsoon regime.
Collective angst and group continuity as predictors of collective action for progressive city policies

Paweł Adamowicz, the liberal mayor of Gdańsk, Poland, died on January 14, 2019, after being stabbed by a man who rushed onstage during a charity event. Four studies were carried out to analyze the predictors of willingness to engage in collective action in support of the progressive city policies he initiated. In Study 1 (N = 214), collective angst was related to collective action intention. Identification with Gdańsk mediated this relation. In the next two studies, we tested the role of the perceived continuity of the in-group. The relationship between collective angst and willingness to support collective actions was mediated by perceived essentialist continuity of the group (Study 2, on snap election day, N = 121). Moreover, results confirmed that collective angst predicted strength of identification with Gdańsk. This identification was related to the perceived essentialist continuity of the group, which in turn was linked to willingness to engage in collective actions in support of progressive policies (Study 3, N = 98). In Study 4 (N = 456), conducted within a few days before the presidential election in Poland, we replicated the model of mediation obtained in Study 3, and showed that contextualized collective angst also predicted collective action intentions.
Preparation and Formation Mechanism of Renewable Lignin Hollow Nanospheres with a Single Hole by Self-Assembly

Lignin hollow nanospheres with a single hole were prepared through a straightforward self-assembly method, which included dissolving enzymatic hydrolysis lignin, a byproduct derived from biorefinery, in tetrahydrofuran and afterward dropping deionized water to the lignin/tetrahydrofuran solution. The formation mechanism and structural characteristics of the lignin hollow nanospheres were explored. The results indicated that the nanospheres exhibited hollow structure due to the effect of tetrahydrofuran on the self-assembly behavior. Hydrophobic outside surface and hydrophilic internal surface were formed via layer-by-layer self-assembly method from outside to inside based on π–π interactions. The chemical structure of lignin did not produce a significant change in the preparation process of lignin hollow nanospheres. With increasing of initial lignin concentration, the diameter of the nanospheres and the thickness of shell wall increased, while the diameter of the single hole, the surface area, and the po.
Prevalence of illicit drug use before imprisonment in Europe: results from a comprehensive literature review

Abstract Current data on the prevalence of prior illicit drug use among the prison population in Europe is scarce. The aim of this study is to identify the prevalence of illicit drug use prior to incarceration, as reported by studies conducted in 30 European countries. A comprehensive literature review was conducted from the 5–31 of March 2018 using the databases Cochrane Library, Embase, MEDLINE, PsychINFO and PubMed. After the deletion of duplications, 2607 articles meeting the eligibility criteria for review were identified. In total, 26 studies from 12 different countries have been included in this review. The review found that the lifetime prevalence of illicit drug use before imprisonment ranged from 30 to 93%; last year prevalence from 51 to 69%; last 6 months prevalence from 13 to 75% and last month prevalence from 58 to 62%. The prevalence of illicit drug use was especially high among women. The rates varied across the 26 studies although high prevalence values are reported in most studies and variations are partly related to methodological differences in the reviewed studies. The high levels of prior involvement with drugs, necessitates prisons to develop clear strategies to deal with illicit drug use.
Causes of admission to a raptor rehabilitation centre and factors that can be used to predict the likelihood of release

Admission records of rescued birds are an important source of information for tracking the prevalence of human-related threats to wildlife. In this study, we used admission records from January 2015 to December 2016 to review the causes for raptor admissions to a raptor rehabilitation centre in Pietermaritzburg, South Africa, and to determine factors that can be used to predict the outcome of rehabilitation. During the study period, 242 raptors were admitted to the centre, representing 33 species. The major causes of admission were collision-related injuries (52%), grounded birds (12%) and orphaned chicks (10%). The most common casualties were Spotted Eagle-Owl Bubo africanus (23%), Yellow-billed Kite Milvus migrans aegyptius/parasitus (12%), Jackal Buzzard Buteo rufofuscus (10%) and Western Barn Owl Tyto alba (10%). The rehabilitation centre had a release rate of 48%. Reason for admission was a significant predictor of the outcome of rehabilitation while other variables were not. Raptors with no severe injuries such as orphaned chicks and grounded birds were more likely to have successful rehabilitation treatment than raptors suffering from collision injuries. Wildlife rehabilitators can use the results of the present study to develop triage guidelines for raptors admitted to rehabilitation centres.
RankFromSets: Scalable set recommendation with optimal recall

We study a variant of user‐item recommendation where each item has a set of attributes, such as tags on an image, user reactions to a post or foods in a meal. We focus on the latter example, with the goal of building a meal recommender for a diet tracking app. Meal recommendation is challenging: (i) each item (meal) is rarely logged by more than a handful of users, (ii) the database of attributes (foods) is large, and (iii) each item is tagged with only a handful of attributes. We propose RankFromSets (RFS), a flexible and scalable class of models for recommending items with attributes. RFS treats item attributes as set‐valued side information and learns embeddings to discriminate items a user will consume from items a user is unlikely to consume. We develop theory connecting the RFS objective to optimal recall and show that the learnable class of models for RFS is a superset of several previously proposed models. We then develop a stochastic optimization method for RFS that uses negative sampling to scale to massive problems like meal recommendation. In experiments on a real dataset of 55k users logging 16M meals, the new method outperforms competing approaches while learning embeddings that reveal interpretable structure in user behavior. Code is available on GitHub (https://github.com/altosaar/rankfromsets).
Prey Size Decline as a Unifying Ecological Selecting Agent in Pleistocene Human Evolution

We hypothesize that megafauna extinctions throughout the Pleistocene, that led to a progressive decline in large prey availability, were a primary selecting agent in key evolutionary and cultural changes in human prehistory. The Pleistocene human past is characterized by a series of transformations that include the evolution of new physiological traits and the adoption, assimilation, and replacement of cultural and behavioral patterns. Some changes, such as brain expansion, use of fire, developments in stone-tool technologies, or the scale of resource intensification, were uncharacteristically progressive. We previously hypothesized that humans specialized in acquiring large prey because of their higher foraging efficiency, high biomass density, higher fat content, and the use of less complex tools for their acquisition. Here, we argue that the need to mitigate the additional energetic cost of acquiring progressively smaller prey may have been an ecological selecting agent in fundamental adaptive modes demonstrated in the Paleolithic archaeological record. We describe several potential associations between prey size decline and specific evolutionary and cultural changes that might have been driven by the need to adapt to increased energetic demands while hunting and processing smaller and smaller game.
Additive genetic and permanent environmental correlation between different parts of lactation in moderate and cold regions

The objective of this study was to investigate genotype by environment interaction as well as genetic parameters for somatic cell score (SCS) in first lactation Holstein cows in Iran. Data were collected by the National Animal Breeding Centre of Iran during 2003 to 2018. Data consisted of 1 031 885 SCS test-day records of 145 817 first lactation Holstein cows. Records were classified into the cold and moderate climate on data of synoptic stations. Variance components and genetic parameters were estimated using a random regression model and restricted maximum likelihood method. The analyses were performed using the AI-REML algorithm of the DMU package. The mean SCS was 1.859 (1.598) and 1.823 (1.522) for the cold and moderate climate, respectively. Genetic variance of SCS was lower than the corresponding permanent environmental variance. The permanent environmental variance in the moderate climate was higher than that of the cold climate during lactation. The highest values of heritability were observed in the early stage of lactation. However, the estimates of heritability during the lactation curve were low. The estimates of heritability for the entire 305-day lactation were higher in the cold climate than those in the moderate climate. Genetic correlation between the cold and moderate climate ranged from 0.25 to 0.81. The results indicated the existence of genotype × environment interaction and hence the need for different breeding program for SCS in the studied climates.
Performance and Tolerability of a New Topical Dexpanthenol-Containing Emollient Line in Subjects with Dry Skin: Results from Three Randomized Studies

Three studies were conducted with three new dexpanthenol-containing emollients containing increasing lipid contents (Emollients 1–3) to assess their performances in healthy adults with dry skin. All three studies (N = 42 each) followed virtually the same design. A single skin application of the study product was performed followed by once-daily usage. Skin hydration, transepidermal water loss (TEWL), skin biomechanical properties, and lipid content of the stratum corneum (SC) were regularly assessed over the 28-day study period; a subset (N = 22) underwent a sodium lauryl sulfate (SLS) challenge prior to product application. All three emollients were well tolerated and showed good performances with only minor differences in instrumental measurements. After single and prolonged once-daily applications of Emollients 1–3 to dry skin and dry SLS-damaged skin, skin hydration significantly increased from baseline (BL) (by 38.1–72.4% in unchallenged skin, p < 0.001 for all three). This was paralleled by significant increases in skin elasticity parameters. Usage of Emollients 1 and 3 caused increases from BL in SC cholesterol (by 9.8–12.5%, p < 0.05 for both) and SC free fatty acid levels (by 3.7–26.3%, p < 0.05 for both) at the end of the study. No sustained effects on TEWL were recorded. Our findings support the once-daily use of all three emollients in adults with dry skin.
Quality of Reported Earnings: An Empirical Study of Indian Banking Industry

Earnings management (EM) practices by bank managers can prove to be very precarious in smooth running of the financial system of a country. The failure of financial system shocks the entire economy. The present paper aims to assess the quality of earnings in the Indian banking industry. EM is estimated by employing a bank-specific model that measures EM through loan loss provision (LLP) and realized security gains and losses (RSGL). The findings exhibit that public banks practice income increasing and private banks practice income decreasing EM, whereas, combined result reinforces the practice of income decreasing EM. The results indicate that public sector banks use both LLP and RSGL to manage earnings whereas private sector banks increasingly rely on RSGL. Further, direction of EM is gauged by classifying EM on the basis of quartiles. This study has implication for regulators, investor and depositors. Regulators should be stricter regarding policies of LLP. Apart from earnings, investor and depositors should be considered other measures of stability of banks like capital adequacy ratio because earnings may be manipulated.
PM10 Chemical Profile during North African Dust Episodes over French West Indies

The French West Indies are periodically affected by North African dust episodes (NADE) resulting in PM10 concentrations exceeding air quality standards. The aim of the present study was to decipher the PM10 chemical profile during NADE over Guadeloupe. PM10 samples were collected daily at a rural site and an urban site during five episodes between April and October in 2017. During these events, the median PM10 mass concentrations were, on average, 2 to 5 times higher than in the post-episode baseline period. Sampled filters were analyzed for their quantification of chemical constituents including carbonaceous fractions (elemental and organic carbon, EC/OC), anions/cations and levoglucosan, 51 elements, and 57 selected organic species. An orthogonal partial least squares discriminant analysis (OPLS-DA) was conducted to identify the specific chemical profile of PM10 during NADE: 16 elements were identified as the most discriminant between the NADE and the control samples with mass concentration levels twice as high during a NADE. Among them, only two (Mn and V) are classified as emerging pollutant while no limit values exist for the other ones. The extensive characterization of the NADE PM10 chemical profile we performed is a key step to assess the chemical exposure of French West Indies populations during such events.
The Role of Nanodispersed Catalysts in Microwave Application during the Development of Unconventional Hydrocarbon Reserves: A Review of Potential Applications

Electromagnetic impact on oil reservoir manifests itself in various physical and chemical phenomena and attracts a significant scientific and technological interest. Microwave (MW) radiation heating can be more efficient for the oil recovery than heat transfer by convection or by thermal conduction. MW influence can also lead to significant changes in the physicochemical and rheological properties of oil caused by chemical processes of transformation of the oil high-molecular components such as resins and asphaltenes. The efficiency of transition-metal catalysts applied for the in-situ conversion of hydrocarbons directly in the reservoir might be significantly increased by exposing the oil formation to MW radiation. Actually, transition metals nanoparticles and their oxides are considered as active absorbers of MW radiation and; therefore, they can be used to intensify MW impact on the reservoir. Catalyst particles dispersed in the formation provide enhanced MW sweep. Taken together, the functioning of the catalysts and the effect of microwave radiation provide deep conversion of resins and asphaltenes, a decrease in the viscosity of the produced oil and an increase in oil recovery factor, along with a decrease in water cut of the well production. The present review analyzes the latest works on the combined application of microwave exposure and dispersed catalysts. In addition, this review discusses the prospects and perspectives of practical application of electromagnetic heating to enhance heavy oil recovery in the presence of nanoparticles.
Testing Breadth and Depth of Vocabulary Knowledge and Their Relationship with Vocabulary Size of EFL Students

Abstract Testing the breadth and depth of vocabulary knowledge is needed to see its effect on the vocabulary size of EFL students. The study aims to know at the relationship between the breadth and depth of vocabulary knowledge and the vocabulary size of EFL students. This research was conducted in the 8th grade of Trimulia Junior High School Jakarta. This research uses a correlational research design. The sample was 51 EFL learners. The Vocabulary Level Test (VLT) and the Words Associates Test (WAT) were administered in this study. The scores were presented with descriptive statistics for two tests of the breadth and depth of vocabulary knowledge. The results showed that the breadth and depth of the vocabulary knowledge test had a negative correlation with the L2 vocabulary size of EFL students. Using Statistic Product moment, the correlation coefficients found at 0.01 for the breadth and 0.11 for depth is included in the very weak category. So, there is a very weak correlation between the tests of breadth and deep vocabulary knowledge and the size of students' vocabulary. Keywords: breadth, depth, vocabulary knowledge, vocabulary sizes
Experience and prediction: a metric of hardness for a novel litmus test

In the past decade, the Winograd schema challenge (WSC) has become a central aspect of the research community as a novel litmus test. Consequently, the WSC has spurred research interest because it can be seen as the means to understand human behavior. In this regard, the development of new techniques has made possible the usage of Winograd schemas in various fields, such as the design of novel forms of CAPTCHAs. Work from the literature that established a baseline for human adult performance on the WSC has shown that not all schemas are the same, meaning that they could potentially be categorized according to their perceived hardness for humans. In this regard, this hardness metric could be used in future challenges or in the WSC CAPTCHA service to differentiate between Winograd schemas. Recent work of ours has shown that this could be achieved via the design of an automated system that is able to output the hardness indexes of Winograd schemas, albeit with limitations regarding the number of schemas it could be applied on. This paper adds to previous research by presenting a new system that is based on machine learning, able to output the hardness of any Winograd schema faster and more accurately than any other previously used method. Our developed system, which works within two different approaches, namely the random forest and deep learning (LSTM-based), is ready to be used as an extension of any other system that aims to differentiate between Winograd schemas, according to their perceived hardness for humans. At the same time, along with our developed system we extend previous work by presenting the results of a large-scale experiment that shows how human performance varies across Winograd schemas.