Miracle-dz/UniFAR-FTUs huggingface dataset:
Enhancing the Production and Sustainability of Pasture-Fed Beef Using Non-Traditional Legume Forages

The current study has demonstrated that grazing of the alternative forage legumes birdsfoot trefoil (Lotus corniculatus L.; BFT) and cicer milkvetch (Astragalus cicer L.; CMV), resulted in more sustainable beef production than grazing of meadow bromegrass (Bromus biebersteinii Roem. & Schult; MB). The legumes had greater feed quality and are able to fix their own nitrogen (N) from the atmosphere. Cicer milkvetch produced more dry matter and had greater forage quality than BFT and MB, likely resulting in greater nitrification rates and soil NO3 availability. Birdsfoot trefoil accumulates a limited concentration of condensed tannins, and tannins have been shown to increase soil N by slowing N mineralization and nitrification. Tannins bind with proteins in the rumen, and some tannins, like those in BFT, release protein at the low pH of the abomasum for gastric digestion. Tannins improve ruminant N retention, and commonly increase the ratio of fecal to urinary N. This can reduce N volatilization and the deposition of N in the soil in inorganic forms, while increasing soil organic N, increasing soil organic C. Greater fecal N reduces the probability of NO3 leaching or emission of nitrous oxide (N2O), a potent greenhouse gas, from the pasture system. Greater organic C under grazing is likely explained by both manure and plant litter depositions. Indeed, in the 40 present study greater soil C sequestration was evident under MB and small burnet (Sanguisorba minor Scop.; SB), a tannin-containing forb. This effect was mainly detected in the uppermost (0-10 cm) soil layer where greater soil microbial activity responded to greater soil warmth and oxygenation, and greater turnover of fine roots and root C exudation. Methane (CH4) is another potent GHG, and represents wasted food energy since reduced C is released to the atmosphere. Enteric CH4 emissions were measured during grazing for individual animals for successive 24-h periods. Greater legume forage quality resulted in greater dry matter intake (DMI) per unit of respired enteric methane than for the grass. The rate of ruminal passage is greater for legumes because they have less fiber and therefore shorter retention in the rumen. No effect of BFT tannins on enteric CH4 emissions could be distinguished. Reductions in enteric CH4 emissions due to greater feed quality result in a reduced C footprint for beef production on legume pastures.
Stress Prediction of Students using Machine Learning

On the daily basis, people are suffering from the stress illness because of many factors which include the social factor, external stimulus or environment factors and internal factors. In healthcare, vast development have been made with the use of machine learning. Stress is a fatal disease causing a considerable number of fatalities across the world. The machine learning enable the prediction of the possibility of stress prediction in the under studies of students like, graduate, under graduate, post graduate and professional students. In this paper we analyze the performance of machine learning techniques to reduce the risk of stress prediction resulting in early treatment of the understudies’ students. The data set was collect from university with the help of pss scale and it made up of more than 200 student’s data. Different types of classification algorithms Naive Baye’s, Linear Regression, Multi-layer perceptron, Bayes Net, J48 and random forest are using and also we calculate their accuracy with the help of performance parameter like TP, FP, ROC, F-Measure etc . In this research Random forest classifier gives high accuracy of 94.73%.
What is the role of fish intestine as environment-organism barrier? Mechanistic investigations using fish intestinal cells on a chip

The gut of fish belongs to the most essential barriers that mark the border between the organism and its surrounding environment. The pivotal barrier function, allowing absorption of nutrients from the diet while simultaneously protecting the organism from pathogens and contaminants, is accomplished by a single layer of epithelial cells lining the intestinal lumen. In vitro, this barrier has been mimicked by culturing fish epithelial intestinal cells on conventional permeable membranes within a two-chamber system, which creates an upper and a lower compartment representing the intestinal lumen and blood circulation, respectively. This simplified approach, however, has at least three important limitations: The first being restricted diffusion through the several micrometer thick commercial membranes, which moreover have quite limited porosity; the second being a lack of interaction with other intestinal cell types; and the third being absence of mechanical stimulation, such as shear forces from fluid flow to better simulate the physiology of the intestine. To overcome these limitations, this thesis focuses on the recreation of the piscine intestinal microenvironment by combining cells derived from the intestine of fish, precisely epithelial and fibroblast cell lines from rainbow trout (Oncorhynchus mykiss), with engineered microsystems. The applied stepwise approach encompasses (a) the development of an ultrathin permeable membrane as novel support for barrier forming cells, (b) followed by combining epithelial cells and fibroblasts for intestinal architecture reconstruction, and (c) exposure to fluid flow to mimic the mechanical forces occurring on the epithelial-lumen interface. Artificial ultrathin membranes for intestinal cell culture were found to better mimic features of the delicate, highly permeable basement membrane that underlines the epithelial cells in vivo compared to conventional porous supports. Two types of membranes were fabricated in this study. The first was an anodized aluminum oxide membrane that features densely packed pores in the nanometer range and allows for fast diffusion of small molecules. This type of membrane is ideal for high quality microscopy and supports epithelial polarization. However, membranes release, albeit non-cytotoxic, concentrations of aluminum ions, which might be critical for toxicological investigations. Therefore, a second type of an ultrathin membrane, namely a silicon nitride membrane, was fabricated. It has pores in the micrometer range, is optically transparent and has been applied beyond static exposures for microfluidic studies. To initiate co-culture of epithelial cells with fibroblasts, an intestinal fibroblast cell line from rainbow trout needed to be characterized first. The cells feature typical fibroblast morphology and behavior
A new species of Macaria Curtis (Lepidoptera: Geometridae: Ennominae) from the Andes of northern Chile

Macaria kruegeri Vargas, Hausmann & Parra sp. nov. is described and illustrated based on adults reared from larvae collected on the shrub Adesmia spinosissima Meyen (Fabaceae) at about 3200 m elevation in the Andes of northern Chile. Macaria kruegeri resembles Macaria alba (Bartlett-Calvert, 1893), described from southern Chile. However, the two species can be accurately separated based on subtle differences in wing pattern and the shape of the valvula of the male genitalia. In addition, there is a DNA barcode divergence (COI gene) of 4.9% between both taxa. A R T I C L E I N F O Article history: Received 24 February 2020 Accepted 16 June 2020 Available online 20 July 2020 Associate Editor: Lívia Pinheiro urn:lsid:zoobank.org:pub:88851DE2-92D443B5-BE3F-075166094D42
Imaging techniques in the assessment of endovascular infrarenal abdominal aortic repair

Introduction. Imaging is essential in the assessment of endovascular infrarenal abdominal aortic repair results. Complications include endoleaks, graft migration, kinking and infolding, stenosis, occlusion, and secondary ruptures. Examination Modalities. Contemporary imaging strategies are based on using noninvasive imaging modalities. After endovascular infrarenal abdominal aortic repair, the standard evaluation modality is computed tomography angiography, whereas additional modalities include magnetic resonance imaging, ultrasonography, and radiography. However, although an invasive imaging method, digital subtraction angiography is still performed in some patients. Computed tomography angiography provides excellent contrast, spatial resolution, and exact measurements of structures of interest, which is essential in the follow-up. Follow-up Protocol. Currently recommended follow-up protocol in the first year is contrast- enhanced computed tomography imaging at 1 and 12 months after the procedure. Conclusion. Due to its characteristics, reproducibility and availability, computed tomography angiography remains the cornerstone diagnostic modality of post-procedural assessment in patients with endovascular infrarenal abdominal aortic repair.
A Trapping Survey Targeting Head-Started Alligator Snapping Turtles in Southwest Louisiana

The alligator snapping turtle Macrochelys temminckii is the largest freshwater turtle in North America and humans seek it as a food source, primarily in Louisiana. Scientists point to decades of intensive commercial harvest of alligator snapping turtles as a cause of population declines. The Louisiana Department of Wildlife and Fisheries initiated a head-start program for alligator snapping turtles and released 53 head-started juveniles at seven sites along an approximately 5.7-km stretch of Bundick Creek in southwest Louisiana between November 2015 and October 2016. Before release, department personnel measured, weighed, and marked all alligator snapping turtles with both an internal passive integrated transponder tag and a numbered external tag. In 2018, the U.S. Geological Survey initiated a turtle trapping survey at those seven release sites targeting the head-started alligator snapping turtles. In 1 wk of trapping effort at each site, we recorded 69 turtle captures comprising seven species, including 15 alligator snapping turtles (representing 12 individuals). Of those 12 individuals, 8 were head-started juveniles and 4 were native to the creek. A landowner captured an additional head-started juvenile alligator snapping turtle during our trapping and we took measurements before its release. A minimum of 17% of head-started alligator snapping turtles survived since release, and we trapped most captured head-started individuals near their release site; the captured individuals exhibited growth consistent with other studies, indicating acclimatization to their new environment. Three head-started alligator snapping turtles had their external tags entangled in the net mesh, and two of these turtles drowned. An additional two head-started individuals lost their external tags in the natural environment prior to their capture in this study. The Louisiana Department of Wildlife and Fisheries discontinued the use of external tags based on our findings, as these tags were detrimental to the health of head-started turtles.
Collision free Path Planning of a Robotic Manipulator for Pruning Apple Trees

Pruning of apple trees requires 80-120 working hours of labor per hectare accounting for 20% of the total production cost. Robotic pruning is a potential solution to decrease labor dependence and associated costs. Autonomous precise manipulation of a robotic manipulator in presence of obstacles is a challenge. The spatial requirements and collisionfree path planning for the robotic manipulator is essential for automated systems. This simulation study focused on investigating the branch accessibility of a six-rotational (6R) degrees of freedom (DoF) robotic manipulator with a shear blade type end-effector. A virtual tree canopy environment was established in MATLAB for simulation. The Rapidlyexploring Random Tree (RRT) obstacle avoidance algorithm was used to establish a collision-free path to reach the target pruning points. The path smoothing and optimization algorithms were also used to reduce path length and calculate the optimize path. The simulation showed that the integrated robotic manipulator reached the pruning points avoiding obstacle untargeted branches. The path generation time, path length, target reaching time, and number of accessible branches (success) and collisions (failure) was recorded. The study provides the foundation information for future work on the development of a robotic pruning system
Computational Insights Into Avidity of Polymeric Multivalent Binders

Multivalent binding interactions are commonly found throughout biology to enhance weak monovalent binding such as between glycoligands and protein receptors. Designing multivalent polymers to bind to viruses and toxic proteins is a promising avenue for inhibiting their attachment and subsequent infection of cells. Several studies have focused on oligomeric multivalent inhibitors and how changing parameters such as ligand shape and size, and linker length and flexibility affect binding. However, experimental studies of how larger structural parameters of multivalent polymers such as degree of polymerization affect binding avidity to targets have mixed results with some finding an improvement with longer polymers and some finding no effect. Here, we use Brownian dynamics simulations to provide a theoretical understanding of how degree of polymerization affects the binding avidity of multivalent polymers. We show that longer polymers increase binding avidity to multivalent targets, but reach a limit in binding avidity at high degrees of polymerization. We also show that when interacting with multiple targets simultaneously, longer polymers are able to use inter-target interactions to promote clustering and improve binding efficiency. We expect our results to narrow the design space for optimizing the structure and effectiveness of multivalent inhibitors, as well as be useful to understand biological design strategies for multivalent binding.
Localisation des ganglions sentinelles au moyen de quantum dots. Application au cancer du sein

Le statut ganglionnaire a la valeur pronostique la plus importante chez les patientes atteintes d'un cancer du sein, le taux de survie etant correle au nombre de ganglions envahis. Dans le traitement des cancers du sein operables d'une taille inferieure a 3 cm, la technique du ganglion sentinelle (GS) remplace le curage ganglionnaire de stadification. Toutefois, cette technique necessite l'emploi simultane de radioisotopes et de colorants physiologiques presentant divers effets secondaires. Ainsi, notre strategie a ete de tester, sur modele pre-clinique de nouveaux traceurs fluorescents, les Quantum Dots (QDs), pour la technique du GS. Une etude sur la detection in vivo du ganglion axillaire (GA) par spectrofluorimetrie fibree apres injection sous-cutanee (s.c.) de QDs emettant dans le rouge a ete realisee et leur quantification ex vivo a ete effectuee par spectrofluorimetrie jusqu'a 24 h. Ce travail a montre l'accumulation rapide et selective des QDs dans le GA chez la souris. Une etude sur la localisation in vivo de 2 ganglions regionaux par imagerie de fluorescence a ete realisee suite a l'administration s.c. de QDs emettant dans le proche infrarouge (PIR) ainsi qu'une etude de biodistribution ex vivo par spectrometrie de masse (ICP-MS). Les resultats obtenus ont montre que l'imagerie de fluorescence pouvait etre utilisee apres injection de QDs pour localiser et suivre leur accumulation dans les ganglions superficiels chez la souris saine. Pour se rapprocher de la clinique, le reperage in vivo du GS axillaire a ete investi sur modele tumoral murin de cancer du sein par imagerie de fluorescence apres administration s.c. de QDs emettant dans le PIR. Deux techniques de detection des metastases ganglionnaires ont ete utilisees puis comparees : l'histologie conventionnelle et la RT-PCR. Tous les GS axillaires ont ete detectes in vivo par imagerie, sauf un GS qui etait completement envahi par les cellules tumorales et la meilleure incidence de metastases ganglionnaire a ete observee avec la RT-PCR. Ainsi, les QDs pourraient etre utilises comme substitut des marqueurs actuellement employes dans la technique du GS pour les cancers du sein.
Modelling of the operation of a refrigeration unit using radiative cooling to maintain the storage temperature in the cold room

The results of the research, which show the effect of radiative cooling on the temperature of food storage chamber during the cold season in the cities of Almaty and Kostanay (Kazakhstan) were obtained through computer simulation of the operation cycle. In the installation modelled, pumping circulation of a heat carrier cooled at night in radiators is used. The radiators of the installation cover the entire roof of the cold room (12 m2). Computer simulation shows that the required temperature in the cooled chamber (0 . + 3 ° C) is maintained in Almaty for 8.5%, and in Kostanay for 28.2% of the total length of the year. The average coefficient of performance of the unit was 3.43 in Almaty and 4.63 in Kostanay. Although the installation with radiation cooling is operational, in the proposed scenario its practical application is not advisable.
A Novel Data-Driven Method to Estimate Methane Adsorption Isotherm on Coals Using the Gradient Boosting Decision Tree: A Case Study in the Qinshui Basin, China

The accurate determination of methane adsorption isotherms in coals is crucial for both the evaluation of underground coalbed methane (CBM) reserves and design of development strategies for enhancing CBM recovery. However, the experimental measurement of high-pressure methane adsorption isotherms is extremely tedious and time-consuming. This paper proposed the use of an ensemble machine learning (ML) method, namely the gradient boosting decision tree (GBDT), in order to accurately estimate methane adsorption isotherms based on coal properties in the Qinshui basin, China. The GBDT method was trained to correlate the adsorption amount with coal properties (ash, fixed carbon, moisture, vitrinite, and vitrinite reflectance) and experimental conditions (pressure, equilibrium moisture, and temperature). The results show that the estimated adsorption amounts agree well with the experimental ones, which prove the accuracy and robustness of the GBDT method. A comparison of the GBDT with two commonly used ML methods, namely the artificial neural network (ANN) and support vector machine (SVM), confirms the superiority of GBDT in terms of generalization capability and robustness. Furthermore, relative importance scanning and univariate analysis based on the constructed GBDT model were conducted, which showed that the fixed carbon and ash contents are primary factors that significantly affect the adsorption isotherms for the coal samples in this study.
Geological Structure-Guided Initial Model Building for Prestack AVO/AVA Inversion

Reconstructing an accurate and high-resolution subsurface model is attractive in the fields of both geology and seismology. However, due to the band-limited characteristics of seismic data, the inversion greatly depends on the reliability of the initial model. A fairly acceptable initial model could lay a good foundation for seismic inversion. In this article, we first introduce a well-log interpolation method with the local slope as a constraint for building a high-fidelity starting model in prestack amplitude versus offset/angle (AVO/AVA) inversion. First, we briefly review the basic theory of general seismic inversion. Then, instead of using the conventional preconditioned least-squares method, we introduce shaping regularization theory into the geological structure-guided well-log interpolation to accelerate the convergence. We use the plane-wave destruction (PWD) algorithm to extract the slope attribute from seismic data, images, or velocity models. The slope is used as the constraint to solve the inverse problem based on the shaping regularization method. Numerical examples demonstrate that the proposed initial model building method performs better than the conventional ones. It greatly improves the accuracy of inversion results. Furthermore, we apply the proposed model building method to the inverse problems of AVO/AVA inversion and reservoir parameter estimation of several field data sets for the first time, which demonstrate encouraging performance.
Effect of dietary supplementation of Ulva rigida C. Agardh extract on several of physiological parameters of grey mullet, Mugil cephalus (Linnaeus)

The present research was aimed to assess the effect methanol extract from Ulva rigida on biochemical response and digestive enzyme activities in Mugil cephalus. A control diet without and three other experimental diets were supplemented by U. rigida extract (UE diet) at the inclusion levels of 5, 10 and 15 g kg diet, respectively. One hundred and twenty grey mullets with the mean weight of 14.95 ± 2.01 g were randomized into 12 tanks and fed twice per day (09:00 and 17:00) for 60 days. After 60 days of the feeding trial, serum total protein and globulin levels of the fish receiving UE diet had incremental trend and better performance, except for samples fed UE5. The UE10 diet resulted in the highest amylase, lipase and protease activities. Correspondence P Akbary, Department of Fisheries, Faculty of Marine Sciences, Chabahar Maritime University, Chabahar, Iran (e-mail: paria.akbary@gmail.com). Significantly different was observed in survival rate, glucose and triglyceride levels between control and UE supplemented groups (p< 0.05). There was significant reduction in glucose and triglyceride levels in the fish received UE diet compared to the control (p<0.05). According to the present results, U. rigida extract as a new introduced dietary supplement is suitable for improving metabolism of carbohydrate and enhancing digestive enzyme activities in grey mullet.
Dog and Cat Owner Demand for Veterinary Service Payment Plans

This paper examines U.S. pet owner demand for veterinary service payment plans. Results revealed a strong preference for discounts and promotions for veterinary pet care. Examining specific attributes for a wellness plan revealed that respondents were clearly willing to pay more for preferred pricing compared to discounts for multiple pets. Respondents were indifferent between payment plans that distributed costs across 12 months compared to 6 months. In absolute terms, dog owners were willing to pay more than cat owners. However, when normalized by mean prices for dog versus cat veterinary service pricing, there were no statistically significant differences.
Analytical Calculation of Performance of Line-Start Permanent-Magnet Synchronous Motors Based on Multidamping-Circuit Model

This article presents a new analytical method for calculating performance of line-start permanent-magnet synchronous motor (LSPMSM) based on multidamping-circuit model (MDCM) to take spatial harmonic components of LSPMSM into account. First, MDCM of damping bar in the rotor is established according to Kirchhoff's current law. Second, an eleven-order system of LSPMSM is deduced from a group of differential equations according to the equations of flux linkage, voltage, torque, and motion. Then, starting process of LSPMSM is simulated with the proposed analytical method, including speed, current, and electromagnetic torque waveforms versus time, respectively. The starting performance and synchronization capability are analyzed and compared under different effective value of input phase voltage, moment of inertia, and load torque. The simulation time with finite element method is about 1235 times longer than the simulation time with the proposed analytical method to calculate the starting process of LSPMSM with the same computer. Finally, the validation of the developed analytical method based on MDCM is verified by comparing simulating results with experimental results and direct axis and quadrature axis (DQ) model. The results based on this new method are reliable. It is conducive to calculate, analyze, and design LSPMSM with less time.