Miracle-dz/UniFAR-FTUs huggingface dataset:
Chemical and Microbiological Examinations of Water and Fish Taken from Manzala Lake of Damietta Gavernorate, Egypt

Water and fish samples were collected in three replicates from the same site of Manzala lake water of El-Roda city in Damietta Governorate, Egypt were examined. Morphological examination of fish obtained from Manzala lake water was examined. The highest value of BOD5 20 was found during summer being 14.8 mgO2/L while the lowest value was found during winter being 7.6 mgO2/L. Arsines and Stannum did not present in all examined seasons of all samples (water and fish). Lead did not detected in all seasons samples except in spring being 0.003 and 0.003 ppm in water and fish, respectively. Also, cadmium and cupper did not presented in all fish samples. Lead did not detected in spring and summer samples while the highest value was during winter being 0.007 ppm in water and 0.032 ppm during autumn in fish. The highest value of total bacterial count in Manzala lake water was found during spring being 4400 cfu/ml ×10, while the lowest value was in autumn. The highest value of total fungal count was in summer being 22500 cfu/ml ×10 while lowest value was in the winter being 0.06 cfu/ml ×10. There were no bacterial growth on SS agar medium. The highest value of Staphylococci count was in spring being 1760 cfu/ml ×10. The highest value of Aeromonas count in spring being 66 cfu/ml×10. The highest value of coliform count was in spring being 1210 cfu/ml×10. The total bacterial count of fish muscles were 17.6, 6000, 0.06 and 45 cfu/g ×10 in spring, summer, autumn and winter, respectively. On the other hand, the highest value of total bacterial count of fish intestine was 46200 cfu/g ×10 in spring, but the lowest value was in the autumn. Total bacterial count of fish surface were 1980, 500, 0.2 and 10 cfu/g ×10 in spring, summer, autumn and winter, respectively. The highest values of fungal count in muscles, intestine and fish surface being 1.87, 13200 and 46.2 cfu/g ×10 during spring, respectively. The highest values of Staphylococcal counts of fish muscles, intestine and fish surface were in spring being 0.198, 33 and 77 cfu/g ×10. The highest count of Aeromonas sp. was in fish intestine during spring, being 2530 cfu/g ×10. Coliform was found in the highest values in spring being 1210000 cfu/g ×10 in intestine, and the lowest values in the autumn and winter. There was no correlation coefficient (r = 0.00) between the log of total bacterial count and BOD5 20 in the Manzala lake water. Among 19 bacterial isolates, only one was coccoid shape, 13 isolates were short rods and 5 isolates were long rods. Thirteen isolates were Gram negative and 6 isolates were Gram positive. Six isolates were spore formers and 13 isolates were non spore formers. All isolates gave negative results with acid fast stain. Micrococcus sp. , Aeromonas sp. , Esherichia sp. , Pseudomonas sp. , Aspergillus alliaceus, Aspergillus niger, Aspergillus flavus and Penicillium sp. were isolated and identified from water and fish.
Basal roughness of the East Antarctic Ice Sheet in relation to flow speed and basal thermal state

Abstract Basal motion of ice sheets depends in part on the roughness and material properties of the subglacial bed and the occurrence of water. To date, basal motion represents one of the largest uncertainties in ice-flow models. It is that component of the total flow velocity that can change most rapidly and can, therefore, facilitate rapid variations in dynamic behaviour. In this study, we investigate the subglacial properties of the East Antarctic Ice Sheet by statistically analysing the roughness of the bed topography, inferred from radio-echo sounding measurements. We analyse two sets of roughness parameters, one derived in the spatial and the other in the spectral domain, with two roughness parameters each. This enables us to compare the suitability of the four roughness parameters to classify the subglacial landscapes below the ice sheet. We further investigate the relationship of the roughness parameters with observed surface flow velocity and modelled basal temperatures of the ice sheet. We find that one of the roughness parameters, the Hurst exponent derived in the spatial domain, coincides with the thermal condition at the base of the ice sheet for slow flow velocities and varies with flow velocity.
The Effect of Service Quality on Commuters’ Satisfaction towards the Adoption of Metro Services: A Case Study of Delhi Metro Rail Corporation

The motivation behind this investigation is to explore the key effect of service quality attributes and their effect on commuters’ satisfaction which improves the organizational image towards the adoption of metro services in Delhi Metro Rail Corporation. On the behalf of convenience sampling approach, data was collected from 850 commuters’ commuting through DMRC using self administered questionnaire based on five point Likert scale and exposed to basic condition displaying through structural equation modelling examination to probe the significance of proposed model. The results demonstrated that commuters’ friendliness is the most first determinant for commuters' satisfaction, trailed by reliability, assurance, safety & security factor. They almost share comparative associations undoubtedly to build positive attitude towards adoption of metro services. Further, attributes of service quality set out the best impact on the adoption behaviour of commuters’ that directly improvise the organizational image of DMRC. While, safety and security factor underscored enormous impact on organizational image and the least on commuters’ fulfillment among all the four determinants of service quality for the acceptance of metro services. It will colossally help both DMRC specialists and restorative authorities in making appropriate frameworks to construct the tendency of commuters' satisfaction for a credible organizational image through prevalent course of action and espousal of efficient metro services. This study is emphasizing as in the contemporary time, commuters' fulfillment had respectably been less researched in the Indian setting of DMRC through adoption of metro services and it is acting like a source that gives standard stuff to expand organizational image so that both commuters’ and association can develop a positive proximity themselves.
Evolutionary algorithms for structural learning of neural networks

: Designing neural networks topologies is s complicated problem when we consider general network structures. Evolutionary algorithm can provide us with interesting solutions of this problem. This work introduces an evolutionary algorithm for evolving neural networks. One of the possible algorithms for evolving neural networks is the NEAT algorithm. The goal of this work is to modify and enhance abilities of the NEAT algorithm. Improvements are focused on utilizing position of a neuron in network, improving crossover procedure and introducing solution of algorithm parallelization that preserve abilities of both NEAT and the new algorithm.
Análise de trilha em genótipos de trigo submetidos ao estresse por encharcamento

Indirect selection can be considered an interesting strategy for plant breeding, especially when an easily measurable/high heritability trait is highly correlated with a target trait which has a lower heritability in segregating populations. The objective of this study was to obtain estimates of phenotypic, genotypic and environmental correlations and to evaluate the partition of genotypic correlations in direct and indirect effects of agronomic variables on the GY variable, through the analysis of two cultivated environments in fifteen wheat segregating populations. The agronomic traits grain yield per plant (GY), number of grains per ear (NGE), grain weight per ear (GWE), thousand grain weight (TGW), number of fertile tillers (NFT), days from emergence to flowering (DEF), days from flowering to maturity (DFM), total development cycle (CYC), and percentage of lodging (LODG), were evaluated in F4 populations under two cropping systems (with and without flooding). In all populations, by means of simple correlations, the selection of more productive plants can be accomplished by indirect selection for NGE, GWE and NFT. Through path analysis, it was possible to identify an indirect effect on GY by NGE. Also, the effect of GWE, NFT, CYC and DEF on the correlation between other characters (NGE x GY, GY x WTG, DFM x GY, GY x CYC and GY x LODG), emphasizing that the NGE, GWE, NFT, DEF and CYC are the main characters to consider for increasing grain yield in wheat.
Net energy and ractopamine levels for barrows weighing 70 to 100kg

The purpose of this study was to evaluate net energy and dietary ractopamine levels for barrows weighing 70 to 100kg. The 150 pigs investigated (initial weight 70.80±3.84kg) were distributed in a randomized block design with a 5×3 factorial arrangement, comprising five levels of net energy (2,300; 2,425; 2,550; 2,675; and 2,800Kcal kg-1 of diet) and three levels of ractopamine (5, 10, and 20ppm kg-1 of diet), with five replicates, and two animals per experimental unit. No interaction (P>0.05) was observed between net energy and ractopamine levels. Increasing the dietary net energy levels led to a linear reduction in feed intake, with a linear improvement in feed conversion. Net energy levels had no observable effect (P>0.05) on weight gain, final weight, or carcass characteristics. A dietary net energy level of 2,800Kcal kg-1 can be recommended for pigs weighing 70-100kg, improving feed conversion without affecting carcass characteristics, regardless of dietary ractopamine levels. Ractopamine levels above 5ppm did not affect performance or modify the quantitative characteristics of carcasses, regardless of dietary net energy levels.
Comparing Weak Admissibility Semantics to their Dung-style Counterparts - Reduct, Modularization, and Strong Equivalence in Abstract Argumentation

Semantics based on weak admissibility were recently introduced to overcome a problem with self-defeating arguments that has not been solved for more than 25 years. The recursive definition of weak admissibility mainly relies on the notion of a reduct regarding a set E which only contains arguments which are neither in E, nor attacked by E. At first glance the reduct seems to be tailored for the weaker versions of Dung-style semantics only. In this paper we show that standard Dung semantics can be naturally reformulated using the reduct revealing that this concept is already implicit. We further identify a new abstract principle for semantics, so-called modularization describing how to obtain further extensions given an initial one. Its importance for the study of abstract argumentation semantics is shown by its ability to alternatively characterize classical and non-classical semantics. Moreover, we tackle the notion of strong equivalence via characterizing kernels and give a complete classification of the weak versions regarding well-known properties and postulates known from the literature.
Studying the Patterns of the Urban Charging Infrastructure Operation for their Energy Supply from Renewable Sources

A current area of the energy supply for urban infrastructure is the application of renewable energy sources. In 2019, the share of energy produced by them reached 11% (for solar energy) and 22% (forwind energy) of the energy produced during the year. However, these systems require an increase in efficiency that can be achieved by introducing electric vehicles. They can accumulate, store and transfer surplus energy to the city network. The solution to this problem is to organize as mart charging infrastructure. Existing studies in the field of charging infrastructure organization for electric vehicles consider only models to locate the charging stations in the city or the calculation of their required number. These calculations are based on socio-economic factors and images of the potential owner of an electric vehicle. Therefore, the aim of this study is to develop a methodology for determining the location of charging stations and their required number. The calculation will conclude the operating features of the existing charging infrastructure, which has not been implemented to date. Thus, the purpose of this article is to research the operation of the existing charging infrastructure. This will provide an opportunity to develop approaches to the energy supply of charging infrastructure and urban networks from renewable energy sources. The article presents an analysis of data on the number of charging sessions during the year, month and day. This data enable constructing curves of the charging session number and suggest ways to conduct the next stages of this study.
Caprella santosrosai n. sp. (Amphipoda: Caprellidea) from the strait of Gibraltar (Southern Spain)

abstract Specimens of a new species of Caprella were found during a sampling survey of bryozoans from Bahia de Algeciras, Spain. The new species is close to C. septentrionalis Kroyer. The most outstanding characteristic is the presence of dense setae on the dactylus and propodus of gnathopod II.
CLINICAL USE OF PINP AND βCTX AS BONE TURNOVER MARKERS IN NOVEL TREATMENT OF OSTEOPOROSIS KLINIČKA UPOTREBA MARKERA KOŠTANOG PROMETA PINP I βCTX U SAVREMENOJ TERAPIJI OSTEOPOROZE

Bone turnover markers (BTMs) are increasingly being evaluated for their role in detection of bone loss, assesment of fracture risk, selecting the most appropriate therapy, assessment and following of therapeutic response. During the last decade several new remedies with special mechanisms of action, as denosumab, cathepsin K inhibitors and anti-sclerostin therapy, have been tested in the treatment of osteoporosis. The clinical chal lenge will be to select medications with different effects on bone resorption and formation, alone or in combination, in order to treat osteoporosis patients most effectively. Therefore, the aim of our analysis of recently published clinical trials was quantifying differences between teriparatide and new remedies (denosumab, romosozumab, blosozumab, odanacatib) effects on bone mineral density and the most widely used BTMs such as procollagen type I N propeptide (PINP) and β croos-linked C-telopeptides (βCTX). Founded differences may contribute not only to better understanding of relationship between various mechanisms of action of these drugs and their influence on the level of BTMs, but also to their more appropriate choice in the treatment of osteoporosis.
Effects of low-temperature acclimation on browning of litchi fruit in relation to shelf life

Summary Postharvest pericarp browning of litchi fruit results in an accelerated loss in shelf life and reduced commercial value. Visual quality was lost in only 6.h at room temperature after fruit were removed from storage at 2°C, due to browning. Cultivar ‘Huaizhi’ fruit stored for 2 d at 8°C, for 26 d at 2°C, followed by 2 d storage at 15°C prior to a shelf-life evaluation at 23–258C, 80–90% r.h. were compared with continuous storage for 30 d at 2°C. Changes in polyphenol oxidase (PPO), anthocyanin, membrane leakage, colour, eating quality, total soluble solids, titratable acidity, and ascorbic acid were measured. The effects of temperature conditioning on disease incidence was also evaluated. Application of low-temperature acclimation delayed the decrease in anthocyanin content, the increases in PPO activity and membrane leakage, the changes in colour and eating quality, and partially inhibited decay of fruit. The results suggested that potential exists for shelf-life extension at ambient temperature when fruit are acclimated.
Effects of flushing with two energy levels on goat reproductive performance

The objective of this study was to evaluate the effects of supplementation with two concentrate levels (CL) on body condition score (BCS), and body weight (BW) of breeding goats, number of kids born, birth and weaning weight, and rate of weight gain of the offspring. Treatments were a high CL (600g/d of grain mix; 1.8 Mcal ME) and a low CL (300g/d; 0.9 Mcal ME) in a completely randomized design. Six nannies (BW=38.5kg, BCS=2.8) were randomly assigned to each treatment. The goats grazed native grass pastures. Flushing started 21-d prior to introduction of the buck and continued for 42-d. Thereafter, all nannies were fed a low CL until parturition. Nannies were weighed at the start of flushing, and at 9 and 96 days after introduction of the buck. BCS was estimated monthly. The kids were weighed at birth and weekly until weaning (45 days). There were no effects of CL (P>0.05) on BW, BCS, and kid numbers, but, kid birth weight was lower with the high compared to the low CL (2.5 vs. 3.3kg). This was a result of more twinning with the high CL. There was also no effect (p>0.05) of CL on weaning weight (8.2 vs. 7.8 kg) and weekly rate of weight gain (860 vs. 727g) with the high and low CL, respectively. In conclusion, CL greater than 300g/d prior to and during the mating season did not improve reproductive performance in meat goats. However, similar studies conducted in nannies with lower initial BCS than those of the present experiment or with more animals per treatment might show a benefit of the higher supplementation level.
A new case of opposite-direction bilateral shoulder fracture–dislocation (Case Study and Review)

Simultaneous dislocation of both shoulders in opposite directions is extremely rare. This case report documents the third published case, which occurred in a 57 year-old male patient during a seizure due to medicinal selfpoisoning. We will also review epidemiological, pathophysiological, clinical and paraclinical data surrounding this pathology and then explore the treatment options.
Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations

We study the effect of adversarial perturbations of images on the estimates of disparity by deep learning models trained for stereo. We show that imperceptible additive perturbations can significantly alter the disparity map, and correspondingly the perceived geometry of the scene. These perturbations not only affect the specific model they are crafted for, but transfer to models with different architecture, trained with different loss functions. We show that, when used for adversarial data augmentation, our perturbations result in trained models that are more robust, without sacrificing overall accuracy of the model. This is unlike what has been observed in image classification, where adding the perturbed images to the training set makes the model less vulnerable to adversarial perturbations, but to the detriment of overall accuracy. We test our method using the most recent stereo networks and evaluate their performance on public benchmark datasets.
Numerical equilibria with pressure anisotropy and incompressible plasma rotation parallel to the magnetic field

It is believed that plasma rotation can affect the transitions to the advanced confinement regimes in tokamaks. In addition, in order to achieve fusion temperatures modern tokamaks rely on auxiliary heating methods. These methods generate pressure anisotropy in the plasma. For incompressible rotation with pressure anisotropy the equilibrium is governed by a Generalized Grad-Shafranov (GGS) equation and a decoupled Bernoulli-type equation for the effective pressure, $\bar{p}=(p_\parallel+p_\perp)/2$, where $p_\parallel$ ($p_\perp$) is the pressure tensor element parallel (perpendicular) to the magnetic field. In the case of plasma rotation parallel to the magnetic field the GGS equation can be transformed to one equation identical in form with the GS equation. In this study by making use of the aforementioned property of the GGS equation for parallel plasma rotation we have constructed ITER-like numerical equilibria by extending HELENA, an equilibrium fixed-boundary solver and examined the impact of rotation and anisotropy on certain equilibrium quantities. The main conclusions are that the addition of pressure anisotropy to rotation allows the profile shaping of the equilibrium quantities in much more extent thus favouring the confinement and allows extension of the parametric space of the Mach number corresponding to higher values. Furthermore, the impact of pressure anisotropy in the equilibrium quantities is stronger than that of the rotation, for most of the quantities examined. For the pressure components the impact of the pressure anisotropy is the same regardless of whether the power is deposited parallel or perpendicular to the magnetic surfaces, thus implying that there is no preferable heating direction, while for the current density, the heating parallel to the magnetic surfaces seems to be beneficial for the current-gradient driven instabilities.
REPORT: Investigation on Curvilinear Anisotropy via Isogeometric Analysis (IGA)

The advent of multi-material additive manufacturing and automated composite manufacturing has enabled the design of structures featuring complex curvilinear anisotropy. To take advantage of the new design space, efficient computational approaches are quintessential. In this study, we explored a new NURBS-based Isogeometric Analysis (IGA) framework for the simulation of curvilinear fiber composites and we compared it to standard Finite Element Analysis (FEA). A plate featuring a semi-circular notch under tensile loading with different fiber configurations served as a case study. We showed that, thanks to the exact geometric representation and the enriched continuity between elements, NURBS-based IGA outperforms classical FEA in terms of computational efficiency, time-consumption, and estimation quality of field variables for same number of degrees-of-freedom. To further demonstrate the use of the IGA framework, we performed optimization studies aimed at identifying the fiber paths minimizing stress concentration and Tsai-Wu failure index. The model showed that curvilinear anisotropy can be effectively harnessed to reduce the stress concentration of up to 82 % compared to unidirectional composites without affecting the overall plate stiffness significantly.
Global-to-Local Neural Networks for Document-Level Relation Extraction

Relation extraction (RE) aims to identify the semantic relations between named entities in text. Recent years have witnessed it raised to the document level, which requires complex reasoning with entities and mentions throughout an entire document. In this paper, we propose a novel model to document-level RE, by encoding the document information in terms of entity global and local representations as well as context relation representations. Entity global representations model the semantic information of all entities in the document, entity local representations aggregate the contextual information of multiple mentions of specific entities, and context relation representations encode the topic information of other relations. Experimental results demonstrate that our model achieves superior performance on two public datasets for document-level RE. It is particularly effective in extracting relations between entities of long distance and having multiple mentions.