Miracle-dz/UniFAR-FTUs huggingface dataset:
Southward invasion of Craspedacusta sowerbii across mesotrophic lakes in Chile: geographical distribution and genetic diversity of the medusa phase

Craspedacusta is a freshwater jellyfish that has been introduced to Chilean lakes. Blooms of the medusa stage of Craspedacusta were first detected in an artificial water body in Valparaiso (lat 32°S) in 1942. Blooms of this invasive hydroid have been observed in Andean lakes of northern Patagonia (lat 40°S) ever since and at present. The main goal of this study was to deepen the knowledge of the invasion history of freshwater jellyfish in Chile. A regional survey of 65 lakes in south central Chile (lat 32–42°S) showed that this jellyfish occurs most often in mesotrophic waters. We used analyses of the cytochrome oxidase subunit I (COI) gene and the small ribosomal subunit (SSU) to establish that Chilean jellyfish populations were Craspedacusta sowerbii. We also established that clonal medusa populations currently inhabit lakes from different bio-climatic zones of Southern Chile. In general, our findings support the hypothesis that all populations of C. sowerbii derive from a single introduction event of Chinese origin (podocyst or polyps) followed by an apparent southward clonal expansion across mesotrophic lakes in the country. At present, molecular information of polyp stages of C. sowerbii in Chilean lakes is nonexistent, so it is impossible to rule out the presence of either other genetic variants of Craspedacusta or other invasive hydroids. To better understand the potential impacts of this invader on local and regional aquatic biodiversity, both molecular and ecophysiological studies are needed on both polyp and medusa stages of C. sowerbii.
A Detection of Informal Abbreviations from Free Text Medical Notes Using Deep Learning

Background: To parse free text medical notes into structured data such as disease names, drugs, procedures, and other important medical information first, it is necessary to detect medical entities. It is important for an Electronic Medical Record (EMR) to have structured data with semantic interoperability to serve as a seamless communication platform whenever a patient migrates from one physician to another. However, in free text notes, medical entities are often expressed using informal abbreviations. An informal abbreviation is a non-standard or undetermined abbreviation, made in diverse writing styles, which may burden the semantic interoperability between EMR systems. Therefore, a detection of informal abbreviations is required to tackle this issue. Objectives: We attempt to achieve highly reliable detection of informal abbreviations made in diverse writing styles. Methods: In this study, we apply the Long Short-Term Memory (LSTM) model to detect informal abbreviations in free text medical notes. Additionally, we use sliding windows to tackle the limited data issue and sample generator for the imbalance class issue, while introducing additional pre-trained features (bag of words and word2vec vectors) to the model. Results: The LSTM model was able to detect informal abbreviations with precision of 93.6%, recall of 57.6%, and F1-score of 68.9%. Conclusion: Our method was able to recognize informal abbreviations using small data set with high precision. The detection can be used to recognize informal abbreviations in real-time while the physician is typing it and raise appropriate indicators for the informal abbreviation meaning confirmation, thus increase the semantic interoperability.
MEASUREMENTS AND CORRELATIONS BETWEEN SEVERAL ATMOSPHERIC PARAMETERS UDC 551.51

Diurnal atmospheric air-ion concentrations have been investigated at a site where synchronous aerosol, ozone, temperature and relative humidity measurements were also made. Air-ions, temperature and relative humidity were measured with Gerdien type Cylindrical Detector of Air-Ions (CDI-06) made in the Institute of Physics, Belgrade. Ozone and aerosols were measured with commercial instruments owned by the Institute of Public Health, Belgrade. Typical daily variations of the measured parameters were analyzed and showed that air-ions of both signs and ozone are positively correlated, while aerosols show strong inverse correlation with air-ions. Also, concentrations of air-ions and ozone are decreasing with temperature while aerosol concentration and humidity are increasing. These processes could be explained concerning properties of the specified parameters, measuring place properties and weather conditions.
Efficacy of Plant Extracts and Chemicals against Ascochyta phaseolorum, Causal Agent of Ascochyta Blight of Vigna anguiculata (L.) Walp.

Cowpea [Vigna anguiculata (L.) Walp. ] synonymous as lobia, barbati and black eyed pea is assumed to be the principal ancient pulse crop of India. Cowpea grain provides a cheap and nutritious food for relatively poor urban communities. They are source of protein (22-24%), calcium (0.08-0.11%), iron (0.005%) and essential amino acids (Lysine, leucine and phenylalanine) (Tiwari and Shivhare, 2016). It leaves 30-40 kg N/ha in the soil for the succeeding crop. The share to world production cowpea dry was 8.45 million metric tons (Singh, 2011). Ascochyta blight is a major disease of cowpea (and many other legumes) under humid conditions often devastating, causing extensive defoliation (Singh and Allen, 2006). Ascochyta blight causes more than 50 per cent or 75 per cent of yield loss in pea (Salam et al., 2011). A wide variability of French bean, cowpea and Indian bean is found in the various parts of the NE region (Asati and Yadav, 2009). Prevailing International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 7 Number 08 (2018) Journal homepage: http://www.ijcmas. com
Enhanced Cellular Automata with Autonomous Agents for Covid-19 Pandemic Modeling

The paper presents several experiments realized with an original model, the enhanced cellular automata with autonomous agents, in order to simulate the evolution of disease spreading The simulations presented in the paper contain specific details of the actual Covid-19 infection: the atypicality of evolution of cases, the proximity required for infection, the long gestation time The simulations show that the combination of cellular automata with autonomous agents can be used to model the evolution of a disease, due to its sensitivity to parameters associated to processes of infection and healing The ability of the modeling system to find critical situations is also discussed The details of the model include the topography of the space (contextual cellular automata), the timer associated with each autonomous agent to model the change of state (and the testing strategies), a FIFO memory that models the treatment facilities and the global control loop that introduces the central control of the system associated to the law enforcement and authorities
Importance of preparing the audit report for the top management of an agricultural enterprise

Introduced audit in business and management of an agricultural enterprise can contribute to improving the management of the enterprise. This can reduce the risk to the top management of an agricultural enterprise. Management should be seen as an organ of the enterprise which is constantly looking for improvement of the management of the enterprise. The processes for establishing audit mechanisms should serve to improve the overall management of the agricultural enterprise. Audit can provide full support to management. The authors point out that their contribution in this paper is primarily aimed at identifying the first stage in the process of forming an audit control mechanism in the company, more specifically, the stage of preparation of the audit report submitted to top management and on the basis of which it further makes management decisions.
Adapting the Interplay Between Personalized and Generalized Affect Recognition Based on an Unsupervised Neural Framework

Recent emotion recognition models, most of them being based on strongly supervised deep learning solutions, are rather successful in recognizing instantaneous emotion expressions. However, when applied to continuous interactions, these models show a weaker adaptation to a person-specific and long-term emotion appraisal. In this article, we present an unsupervised neural framework that improves emotion recognition by learning how to describe continuous affective behavior of individual persons. Our framework is composed of three self-organizing mechanisms: (1) a recurrent growing layer to cluster general emotion expressions, (2) a set of associative layers, acting as affective memories to model specific emotional behavior of individual persons, (3) and an online learning layer which provides contextual modeling of continuous emotion expressions. We propose different learning strategies to integrate all three mechanisms and to improve the performance on arousal and valence recognition of the OMG-Emotion dataset. We evaluate our model with a series of experiments ranging from ablation studies assessing the different contributions of each neural component to an objective comparison with state-of-the-art solutions. The results from the evaluations show a good performance on emotion recognition of continuous emotions on monologue videos. Furthermore, we discuss how the model self-regulates the interplay between generalized and personalized emotion perception and how this influences the model’s reliability when recognizing unseen emotion expressions.
Replacing corn with ground or pelleted citrus pulp in diets of Nellore heifers

SUMMARY Citrus pulp can replace corn in feedlot diets in order to decrease metabolic problems by reducing formation of lactate ruminal. However, while eating, animals can easily select against pelleted citrus pulp due to the greater particle size of the pellet. Therefore, grinding citrus pulp pellet can be an alternative to decrease particle selectivity. This study was realized to evaluate the replacement of ground corn by pelleted citrus pulp and ground citrus pulp on animal performance, sorting index, and feeding behavior of Nellore heifers. Thirty-six Nellore heifers were randomly assigned to three treatments: control diet based on ground corn (GC), partial replacement of GC by ground citrus pulp (GCP), and partial replacement of GC by pelleted citrus pulp (PCP). Heifers fed with the GC diet had higher final body weight (BW), average daily gain (ADG), and dry matter intake (DMI) compared with heifers fed with citrus pulp (P < 0.05). Ground citrus pulp increased DMI and fiber intake compared with the PCP group (P < 0.05). Heifers fed with PCP and GCP sorted for diet particles from 8 to 19 mm and selected particles with less than 1.18 mm (P < 0.05). Thus, the ground citrus pulp is better than pelleted citrus pulp due to higher feed intake and ADG, in consequence of lower selection index.
Fast and Accurate Detection of Banana Fruits in Complex Background Orchards

The detection of banana fruits is an important part of intelligent management in the banana plantation. To detect the banana fruit quickly and accurately in the complex orchard environment, this article proposes a method based on the latest deep learning algorithm to detect the banana fruit. Using a monocular camera, we applied the YOLOv4 neural network algorithm to extract the deep features of banana fruits, realizing accurate detection of different banana sizes. The detection algorithm achieved a 99.29% detection rate, the average execution time was 0.171s, the shortest execution time was 0.135s, and the AP was 0.9995. Moreover, the detection results were discussed with the YOLOv3 algorithm and the machine learning algorithm. Compared with the machine learning algorithm, deep learning algorithm was superior to both detection accuracy and detection time. YOLOv4 had higher detection confidence and higher detection rate than YOLOv3. The results show that the proposed method could realize the fast detection of different varieties and different maturity in banana plantations, under different illumination and occlusion conditions, and provide information for banana picking, maturity and yield estimation.
A pinch of salt: response of coastal grassland plants to simulated seawater inundation treatments.

BACKGROUND AND AIMS The combination of rising sea levels and increased storm frequency and intensity is predicted to increase the severity of oceanic storm surge events and the impact of flooding on coastal ecosystems globally. Understanding how plant communities respond to this threat necessitates experiments involving plant immersion in saline water, but logistical issues and natural variation in seawater composition mean that pure NaCl solutions or marine aquarium salts (MS) are widely used. Nonetheless, their comparative impact on plant ecophysiology, and thus relevance to understanding real-world flooding scenarios, is unknown. METHODS In the first of two experiments, we examined how six ecophysiological responses in white clover (Trifolium repens) varied when plants were subjected to five different inundation treatments: deionized water, natural seawater, an MS solution and two NaCl solutions. In a second experiment, we examined how immersion in deionized water, MS solution and natural seawater affected six European perennial herb species, three native to Spanish sand dunes, and three from British coastal grasslands. RESULTS The two NaCl solutions induced exceptional Trifolium mortality, but responses varied little between MS and seawater treatments. In the second experiment, although leaf tissue necrosis and proline concentrations increased, and growth decreased compared with untreated controls, only one response in one species varied between MS and seawater treatments. Chemical speciation modelling revealed major variation in free Na+ and Cl- between NaCl solutions and seawater, but minor differences between MS and seawater. CONCLUSIONS We show that NaCl solutions are unsuitable surrogates to investigate plant response to elevated environmental salinity. Although responses to natural seawater and MS were consistent within species, there was notable between-species variation. Consequently, the first steps to elucidating how these species-specific responses influence coastal plant community recovery following storm surge can likely be achieved using commercial marine aquarium salts as substitutes for natural seawater.
Feeding and reproductive behavior of the dung beetle Canthon rutilans cyanescens (Coleoptera: Scarabaeinae)

Canthon rutilans cyanescens is a telecoprid and coprophagous dung beetle subspecies that builds two types of balls with feeding nesting purposes. This paperwork describes some behavior and development time characteristics, as well as it analyses the influence of the type and amount of food on this species feeding and reproductive behavior. Adult individuals were sampled in Atlantic Forest areas in southern Brazil (between 2014 and 2016) and they were kept in laboratory conditions within 24 and 27 °C in a 12 hours photoperiod. Development time was observed on brood balls built by 40 couples fed with domestic dog feces. The weight and number of brood and food balls produced by each couple were measured and counted in an experiment with 50 couples fed with feces from distinct mammal’s species as well as in another experiment with 28 couples fed with 1g and 5g of domestic dog feces, distributed into two groups: small and large body size couples. The subspecies’ behavior varied according to the quality of the food resource, with omnivore feces as the best one, possibly due to the higher nutritional quality and microorganism’s diversity. In addition, individuals’ size influenced parental investment and the availability of food resource affected dung beetle’s reproductive success, since, when less food was offered, smaller amounts of food balls and smaller brood balls were built by the adult couples. Our results demonstrated that Canthon rutilans cyanescens has a rapid development and a behavioral plasticity related to the quality and the
Translating Business Process Models to Class Diagrams

Choreography of business processes can track messages between different services. At the time of writing, there are no guidelines to draw a UML Class Diagram from the Business Process Choreography. This paper reports an experiment using a set of guidelines. Objective: Evaluate the subjects’ performance and perceptions when applying the BPc2Class-guidelines and BPc2Class-discovery process. Method: To measure the performance and user perception of both ways of mapping the processes, a comparative experiment was conducted with 38 subjects. The subjects, being master students, solved a process case in the first session and a guidelines case in the second session. A survey was filled in by the subjects to measure the user perception variables. Results: The results indicated that the guidelines showed significantly better results in five out of the six measured variables. Conclusion: Based on the findings and limitations of this research the use of guidelines looks promising, but future research is necessary to further generalize the conclusion.
Leveraging Contextual Information from Function Call Chains to Improve Fault Localization

In Spectrum Based Fault Localization, program elements such as statements or functions are ranked according to a suspiciousness score which can guide the programmer in finding the fault more efficiently. However, such a ranking does not include any additional information about the suspicious code elements. In this work, we propose to complement function-level spectrum based fault localization with function call chains - i.e., snapshots of the call stack occurring during execution - on which the fault localization is first performed, and then narrowed down to functions. Our experiments using defects from Defects4J show that (i) 69% of the defective functions can be found in call chains with highest scores, (ii) in 4 out of 6 cases the proposed approach can improve Ochiai ranking of 1 to 9 positions on average, with a relative improvement of 19–48%, and (iii) the improvement is substantial (66–98%) when Ochiai produces bad rankings for the faulty functions.
Intermittent training and improvement of anthropometric parameters and aerobic capacity in youth football

Optimal football training, among many targets, should allow both the improvement of the maximum oxygen intake (VO2max), as well as the body mass index or BMI. The aim of this study is to demonstrate the effectiveness of the methodology of intermittent training, in terms of a significant improvement in the performance of the players involved in the study. The study is useful for trainers to reorganize training planning and adapt it to individual players. The method is experimental and involves the usual parameters for performance monitoring. There were 17 young amateur footballers, aged between 16 and 17, who participated in the regional under-17 championship this year. Data were collected over the course of twelve weeks. They were expressed as average ± SD for: height (176.1 ± 8.45), weight (63.3 ± 12.7) and body mass index (20.2 ± 2.5). Gacon intermittent field test was used to determine the VO2max. Statistical data analysis was performed with the t-test to check the differences between pre-test and post-test (at the beginning and end of three months of specific training). Significant differences were fixed at p < . 05. Results show that there is a significant difference in performance between pre and post-workout for tests conducted.
Social Factors and Cognitive Functioning in a Puerto Rican Older Adults Sample

Objective: This study aims to examine the moderating role of marital status and religion on cognitive functioning in Puerto Rican older adults. Methods: Secondary data analysis was conducted (N=143), and most of the participants were women (n=104, Mage=73). Mini-Mental State Examination (MMSE) raw scores were used to measure cognitive functioning. Results: Marital status and religion did not moderate the relationship between cardiovascular disease and cognitive functioning (b=2.32, p=0.07, 95% CI [-.20-4.83]), (b=-.35, p=0.86, 95% CI [-4.22-3.52]), respectively. Cardiovascular disease and religion were not related to cognitive functioning; however, marital status was statistically significant related with cognitive functioning (b=2.41, p<0.05, 95% CI [1.16-3.67]), with a median effect size, η2=0.08. Discussion and Conclusion: This study reiterates the importance of integrating social factors, such as having a partner, to reduce the risk of cognitive impairment in old age.
Alternating Nile tilapia (Oreochromis niloticus) and silver catfish (Rhamdia quelen) farming in recirculation system: A possibility for aquaculture in Southern Brazil

The world aquaculture scenario has undergone several changes due to the deficit in natural fish reserves, which has led to the growth of aquaculture activities to the point of them being considered the leading sector in food production. In Brazil, this activity is increasing rapidly, and the most common commercially cultivated species is the Nile tilapia. Southern Brazil presents a more rigorous winter period than the other Brazilian regions, when aquaculture activities present several unoccupied tanks, generating low productivity and decreases in producer income. In search of an alternative to this problem, the present study aimed to evaluate the alternating production of Nile tilapia (Oreochromis niloticus) and silver catfish or silver catfish (Rhamdia quelen), a native fish that displays adequate growth during the cold period. Fish were divided into two phases, rearing and fattening, and the volume of water used for rearing was 3 times lower than that used for fattening. Tilapia fingerlings were bred in winter months and fattened during summer months, while silver catfish fingerlings were bred in summer months and fattened during winter months. Morphometric and performance parameters were analyzed. The experimental breeding of both Nile tilapia and silver catfish presented promising results. Extrapolating the data obtained herein for the occupation of a productive area close to the ideal, a productivity per species similar to that reached in commercial productions in the region would be obtained. Thus, alternating Nile tilapia and silver catfish farming is a viable alternative for Southern Brazilian aquaculture, as it maintains fish production year round, even during cold periods.
Cohérence temporelle des photons uniques émis par un nanocristal individuel de CdSe/ZnS

Cette these decrit une experience d'interferometrie de Michelson realisee pour mesurer la coherence temporelle de l'emission d'un nanocristal individuel cœur/coquille de CdSe/ZnS. La difficulte d'une telle mesure reside dans la diffusion rapide (0,1 ms) de leur raie d'emission qui elargit le spectre mesure habituellement. Nous introduisons, dans une description de l'experience par un formalisme quantique, une methode baptisee spectroscopie de Fourier a correlation de photons (PCFS), reposant sur la mesure des correlations aux temps courts entre les intensites detectees aux sorties de l'interferometre. Contrairement aux methodes spectroscopiques standard, la PCFS associe une bonne resolution temporelle a une bonne resolution spectrale (qui est calculee theoriquement en detail). Ceci nous permet d'etudier des nanocristaux individuels, a 300, 20 et 10 K, et de caracteriser a la fois leur largeur spectrale et leur diffusion spectrale. Nous mesurons une largeur spectrale de 6,5 micro-eV (soit un temps de coherence de 200 ps), meilleure de presque deux ordres de grandeur que les largeurs mesurees par spectroscopie d'un nanocristal individuel (0,1-1 meV).