Miracle-dz/UniFAR-FTUs huggingface dataset:
Implications of Tannin Containing Plants for Productivity and Health in Small Ruminant Animals: A Review

Infection with parasitic nematodes is a serious threat to health and production of small ruminant worldwide. It causes reduction in feed intake, weight gain and eventually death of the host. The primary control method of the nematode infection relied on frequent use of anthelmintic drugs. Unfortunately, this control strategy is no longer effective due to widespread anthelmintic resistance, which necessitates search for novel approaches to control nematodes. Condensed tannin (CT) containing forages have been used as anthelmintic to control parasitic nematodes for years. This paper reviews available information about effects of CT on productivity and health of small ruminants infected with parasitic nematodes. Many of temperate and tropical forages are nutraceutical plants (possess both nutritional and health benefits). Consumption of CT containing forages reduced negative impacts of gastrointestinal parasitism in sheep and goat by regulating establishment of worm as shown in reduced worm burdens, fecal egg count (FEC) and worm fecundity. Parasitized sheep and goats fed forages containing CT had high feed intake and body weight gain, probably due to increase in protein and amino acids supply. Condensed tannins containing feeds result in lighter meat color and tend to improve antioxidant activity. Therefore, the use of CT containing forages to control parasitic nematodes and improve production of small ruminants is one the alternatives to anthelmintic drugs.
A Novel and High-Precision Method for Calculating the γ-Ray Build-Up Factor for Multilayer Shields

In the field of radiation protection, the point-kernel code method is a practical tool widely used in the calculation of 3-D radiation field, and the accuracy of the point-kernel integration method strongly depends on the accuracy of the build-up factor. It is well known that calculation of the build-up factor for single-layer shields is composed of single material, but it is very complicated to calculate the build-up factor for multilayer shields (MLBUF). Recently, a novel and high-precision method based on the deep neural network (DNN) for calculating MLBUF has been proposed. In this paper, the novel method is described completely by slab models. Through the study of photon transport in multilayer shields, the parameters that mainly affect the calculation of build-up factor are analyzed. These parameters are trained by DNN as the input vectors, and the build-up factor for multilayer shields is predicted based on the trained DNN. The results predicted by DNN confirm that the method can calculate the build-up factor for multilayer shields quickly and accurately. The method has been preliminarily applicated into a 3-D radiation field calculation software, and it has proved that the method for calculating MLBUF has a broad application prospects in 3-D radiation field calculation.
Transient Extratropical Response to Solar Ultraviolet Radiation in the Northern Hemisphere Winter

An intermediate complexity general circulation model is used to investigate the transient response of the NH winter stratosphere to modulated ultraviolet (UV) radiation by imposing a stepwise, deliberately exaggerated UV perturbation and analyzing the lagged response. Enhanced UV radiation is accompanied by an immediate warming of the tropical upper stratosphere. The warming then spreads into the winter subtropics due to an accelerated Brewer–Dobson circulation in the tropical upper stratosphere. The poleward meridional velocity in the subtropics leads to an increase in zonal wind in midlatitudes between 20° and 50°N due to Coriolis torque. The increase in midlatitude zonal wind is accompanied by a dipole in Eliassen–Palm flux convergence, with decreased convergence near the winter pole and increased convergence in midlatitudes (where winds are strengthening due to the Coriolis torque); this dipole subsequently extends the anomalous westerlies to subpolar latitudes within the first 10 days. The initial radiatively driven acceleration of the Brewer–Dobson circulation due to enhanced shortwave absorption is replaced in the subpolar winter stratosphere by a wave-driven deceleration of the Brewer–Dobson circulation, and after a month the wave-driven deceleration of the Brewer–Dobson circulation encompasses most of the winter stratosphere. Approximately a month after UV is first modified, a significant poleward jet shift is evident in the troposphere. The results of this study may have implications for the observed stratospheric and tropospheric responses to solar variability associated with the 27-day solar rotation period, and also to solar variability on longer time scales.
Option Pricing under Double Heston Model with Approximative Fractional Stochastic Volatility

We establish double Heston model with approximative fractional stochastic volatility in this article. Since approximative fractional Brownian motion is a better choice compared with Brownian motion in financial studies, we introduce it to double Heston model by modeling the dynamics of the stock price and one factor of the variance with approximative fractional process and it is our contribution to the article. We use the technique of Radon–Nikodym derivative to obtain the semianalytical pricing formula for the call options and derive the characteristic functions. We do the calibration to estimate the parameters. The calibration demonstrates that the model provides the best performance among the three models. The numerical result demonstrates that the model has better performance than the double Heston model in fitting with the market implied volatilities for different maturities. The model has a better fit to the market implied volatilities for long-term options than for short-term options. We also examine the impact of the positive approximation factor and the long-memory parameter on the call option prices.
Grain Yield and Quality of Winter Wheat Depending on Previous Crop and Tillage System

The effects of previous crops (soybean (Glycine max (L.) Merr. ) and winter oilseed rape (Brassica napus L. ssp. oleifera Metzg)), as well as of conventional tillage (CT) and no-tillage (NT), on yield and some quality parameters of winter wheat (Triticum aestivum L.) grain were evaluated based on a four-year field experiment. Wheat was grown in a four-field crop rotation: Soybean—winter wheat—winter oilseed rape—winter wheat. The study revealed that growing winter wheat after soybean, compared to its cultivation in the field after winter oilseed rape, significantly increased grain and straw yield, as well as all yield and crop components evaluated. After the previous soybean crop, higher grain protein content, Zeleny sedimentation value, and grain uniformity were also found. After winter oilseed rape, only a greater value of the gluten index was obtained. Statistical analysis did not show the tillage system (TS) to influence the grain yield of winter wheat. Under the CT system, relative to NT, straw yield, number of ears per 1 m2, and plant height of winter wheat were found to be significantly higher. The NT system, on the other hand, beneficially affected the thousand grain weight. Wheat grain harvested under the CT system was characterized by a higher grain test weight, better grain uniformity, and lower gluten index than under NT.
USO DAS TEORIAS DE ENFERMAGEM NAS TESES BRASILEIRAS: ESTUDO BIBLIOMÉTRICO

Objetivo: caracterizar a produção científica que utiliza teorias de enfermagem a partir de teses realizadas por enfermeiros no Brasil. Método: estudo bibliométrico realizado no Banco de Teses da Coordenação de Aperfeiçoamento Pessoal de Nível Superior e na Plataforma Sucupira, em novembro de 2019. Foram selecionadas 63 teses lidas na íntegra para fichamento e extração de aspectos de interesse, a seguir: ano, universidade, autor, orientador, programa, teoria, modo de aplicação, tipo de estudo, natureza e temática. Resultados: o maior número de produções aconteceu em 2016 com 16 (25,4%) teses, com destaque para o Nordeste com 31 (49,2%). A teoria mais utilizada foi a Teoria do Cuidado Transcultural em oito (12,7%), com a temática mais investigada sendo o cuidado em 12 (13%) teses. Conclusão: a inclusão das teorias de enfermagem no ensino e na pesquisa ainda se mantêm obscuras. Pretende-se dar visibilidade à temática e sugerir o aprofundamento na discussão.
The Value of Influencer Marketing for Business: A Bibliometric Analysis and Managerial Implications

Abstract Influencer marketing appears to be an effective and cost-efficient marketing tool, as it is often not perceived by consumers as advertising and guarantees a wide reach to very engaged audiences. Many businesses harness social media influencers to promote their brands to target audiences. However, influencer marketing has mainly been adopted through a process of trial and error without in-depth insight into how social media influencers should be used strategically as a distinct tool in the marketing mix. In recent years, academic research on influencer marketing has been growing rapidly and offers a deeper insight into how influencer marketing affects customers. The current article deploys bibliometric and thematic content analyses to provide an overview of the current influencer marketing research and identifies the leading journals, authors, publications, and main research themes in this domain. The article concludes with recommendations for future research and businesses when employing influencer marketing.
The Environmental and Health Impacts of Poverty Alleviation in China: From a Consumption-Based Perspective

Poverty alleviation, environmental protection, and healthcare are the three biggest challenges for the Sustainable Development Goals. However, they are also inter-linked. Therefore, it is imperative to achieve these goals in a compatible manner at the national level. Given the growing consumption caused by poverty alleviation in China, this paper investigates potential impacts of poverty alleviation on the environment and health based on an input–output approach, air quality estimation model, and health loss assessment. Due to data limitations, the base year was set as 2012. Nevertheless, the scientific value of the paper is that it offers an important supplement for a preliminary estimation on a macro level. We find that poverty alleviation could be a substantial threat to the environment and health from a consumption-based perspective, and this trade-off can be explained by the uneven pollution footprints per capita among different income groups. From a policy perspective, the government should promote green production, green lifestyles, and healthcare when reducing poverty.
A New Approach for Power Losses Evaluation of IGBT/Diode Module

Electric power systems are facing tremendous changes and power electronic devices are playing an increasingly crucial role in this transformation. In this contest, the study of power electronic devices behavior becomes of the utmost importance, and in particular, evaluation of their losses to understand their performance. Several methods can be found in literature to evaluate power or energy losses, but each of them is associated with shortcomings (such as missing an important factor or having narrow current or voltage range) that in practice become a strong limit to implement them or in a simulation process. To overcome this problem, this paper evaluates existing methods and proposes new loss calculation methods for power electronics losses that can be used within simulation tools at any converter configuration and application range, splitting power electronic losses into switching and conduction losses. The proposed new approach formulates each loss calculation procedure in a systematic way. The presented methods are implemented in Matlab Simulink and simulation results are compared with data obtained from the Semikron SemiSel v4 online tool, which is used as a benchmark. The outcomes reveal that, with this new approach, the proposed methods can cover wider working operation range compared to the existing methods having better accuracy.
Synthesis of magnetic core–shell Fe3O4@TiO2 nanoparticles from electric arc furnace dust for photocatalytic degradation of steel mill wastewater

The study was undertaken to design magnetic core–shell Fe3O4@TiO2 nanoparticles from electric arc furnace dust and evaluate its photocatalytic activity on organic pollutant degradation from steel industry wastewater. Different molar ratios of Fe3O4 to TiO2 were tested on Fe3O4@TiO2 nanoparticles. The materials were characterized using X-ray diffraction, X-ray photoelectron spectroscopy, Fourier transform-infrared spectroscopy, scanning electron microscopy, energy-dispersive X-ray spectroscopy, and transmission electron microscopy, and a zeta potential analyzer and vibrating sample magnetometer. The behavior of Fe3O4@TiO2 nanoparticles under different molar ratios of Fe3O4 to TiO2, pH, photocatalyst dose and temperature was investigated. The apparent rate constant of organic pollutant degradation using Fe3O4@TiO2 was found to be pH dependent as it influenced the surface properties and therefore the photocatalytic activity of Fe3O4@TiO2, which was higher under acidic condition. The degradation of organic pollutants was as high as 96% at pH 3, 1 g L−1 photocatalyst dose, 30 °C temperature, after 90 min reaction time, and the apparent rate constant was 0.043 min−1. The thermodynamic parameters of activation, estimated by the Eyring equation and based on transition state theory (TST), indicated a nonspontaneous process in nature with positive Δ‡Go values, an endothermic reaction with positive Δ‡Ho and negative Δ‡So values. High degradation rate and catalyst recovery were maintained after five consecutive recycling cycles.
Honeybee keeping constraints and future prospects

Abstract Beekeeping is important for securing food, poverty reduction, health, environmental protection and plant pollination. These important practices are challenged by many biotic and abiotic factors in recent years. These factors affect honeybees and their valuable products either in combination or alone. The climatic factors like extreme temperature, relative humidity, shortage of water, deforestation of floral plants, human factors like poor apicultural practices, synthetic pesticides, diseases, and arthropod pests led to the decline of honeybee colonies and their products. But the world market demand for honey and other hive products has increased tremendously in recent decades since it is important for a wide variety of uses and applications. This review paper, therefore, was aimed at exploring these major constraints in beekeeping. It also outlines the most important cultural methods with emphasis on sanitation, maintaining bee colony vigor and some other management practices. Furthermore, from the conclusion of the review, it became important to recommend establishing specific laws and legislations that might be issued by decision makers to prevent honey adulteration. It also requires organizing honey marketing channels and raising awareness on limiting the use of pesticides in agriculture to protect the bees and the environment as well. The renovations and application of improved beekeeping technologies not only benefits beekeepers but also farmers and the general public in pollinating their crops, maintaining plant biodiversity, and the ecology at large. This review, therefore, addresses the honeybee and its production constraints and puts forward some available management practices.
Predation and Scavenging in the City: A Review of Spatio-Temporal Trends in Research

Many researchers highlight the role of urban ecology in a rapidly urbanizing world. Despite the ecological and conservation implications relating to carnivores in cities, our general understanding of their potential role in urban food webs lacks synthesis. In this paper, we reviewed the scientific literature on urban carnivores with the aim of identifying major biases in this topic of research. In particular, we explored the number of articles dealing with predation and scavenging, and assessed the geographical distribution, biomes and habitats represented in the scientific literature, together with the richness of species reported and their traits. Our results confirmed that scavenging is largely overlooked compared to predation in urban carnivore research. Moreover, research was biased towards cities located in temperate biomes, while tropical regions were less well-represented, a pattern that was more evident in the case of articles on scavenging. The species reported in both predation and scavenging articles were mainly wild and domestic mammals with high meat-based diets and nocturnal habits, and the majority of the studies were conducted in the interior zone of cities compared to peri-urban areas. Understanding the trophic role of carnivores in urban environments and its ecological consequences will require full recognition of both their predation and scavenging facets, which is especially desirable given the urban sprawl that has been predicted in the coming decades.
Sentiment classification and aspect-based sentiment analysis on yelp reviews using deep learning and word embeddings

ABSTRACT Opinion mining has significantly supported knowledge and decision-making. This research analysed the content of online reviews including the text of reviews and their rankings. The restaurant reviews of Yelp website have been analysed into two sentiment classifications, binary classification (positive and negative) and ternary classification (positive, negative, and neutral). Three different types of predictive models have been applied including: machine learning, deep learning and transfer learning models. In addition, we propose a new unsupervised approach to apply for aspect-level sentiment classification based on semantic similarity, which allows our framework to leverage the powerful capacity of pre-trained language models like GloVe and eliminated many of the complications associated with the supervised learning models. Food, service, ambience, and price are the aspects that have been categorized according to their sentiment context. In conclusion, 98.30% of the maximum accuracy obtained using ALBERT model. The proposed aspect extraction method achieved an accuracy of 83.04%.
Comparative Study of Consequent-Pole Switched-Flux Machines with Different U-Shaped PM Structures

This paper presents a comparative study of two consequent-pole switched-flux permanent magnet (CP-SFPM) machines with different U-shaped PM arrangements. In order to address the flux barrier effect in a sandwiched SFPM machine, two different alternate U-shaped PM designs are introduced to improve the torque capability, forming two CP-SFPM machine topologies. In order to reveal the influence of different magnet designs on the torque production, a simplified PM magneto-motive force (MMF)-permeance model is employed to identify the effective working harmonics in the two CP-SFPM machines. The torque contributions of the main working harmonics are subsequently quantified by a hybrid finite-element (FE)/analytical method. Multi-objective genetic algorithm (GA) optimization is then employed to optimize the design parameters of the proposed CP-SFPM machines. In addition, the electromagnetic characteristics of the CP-SFPM machines with two U-shaped PM arrangements are investigated and compared by the FE method. Finally, a 6/13-pole CP-SFPM machine with an optimally selected U-shaped PM structure is manufactured and tested to validate the FE analyses.
(Il)legality and psychosocial well-being: Central Asian migrant women in Russia

ABSTRACT Legal status has shown far-reaching consequences for international migrants’ incorporation trajectories and outcomes in Western contexts. In dialogue with the extant research, we examine the implications of legal status for psychosocial well-being of Central Asian migrant women in the Russian Federation. Using survey data collected through respondent-driven sampling in two large cities, we compare migrants with regularised and irregular legal statuses on several interrelated yet distinct dimensions of psychosocial well-being. We find that, regardless of other factors, regularised status has a strong positive association with migrants’ perception of their rights and freedoms but not with their feeling of being respected in society. Regularised status is positively associated with self-efficacy and negatively with depression. Yet, no net legal status difference is found in migrants’ views on their relations with other migrants or on treatment of migrants by native-borns. The findings are situated within the cross-national scholarship on the ramifications of racialized immigrant (il)legality and its implications for membership and belonging.
DLSTM: Distributed Long Short-Term Memory Neural Networks for the Internet of Things

Although the development of Internet of Things (IoT) provides a significant boost for the applications of deep learning algorithms, it is generally hard to fully implement the deep learning algorithms by IoT devices due to their limited calculation capacity. The problem could be alleviated by deploying the deep learning algorithms with edge computing. Herein, in this article, we propose a kind of distributed long short-term memory (DLSTM) neural networks and deploy them on the IoT environment to handle the large-scale spatiotemporal correlation regression tasks. Specifically, the presented DLSTM neural networks adopt the collaborative computing architecture with the terminals, edges and cloud, in order to realize the lightweight deep learning on the IoT devices and improve the learning efficiency. The generalization ability of LSTM neural networks is promoted through introducing the distributed memory cells to implement the information sharing between different edge servers and employing the attention mechanism in LSTM neural networks. Meanwhile, the deep fully connected networks are deployed among the cloud to extract the spatiotemporal correlations in the variety of data from different time and space regions, which enhances the transferability of LSTM neural networks. Numerical experiment shows that the proposed DLSTM neural networks reduce 36% model parameters size, 32% memory consumption among the cloud, and more than half of the prediction errors compared with traditional LSTM neural networks. Besides, the favourable transferability of the present DLSTM neural networks is also verified via numerical experiment.
The Energy Blockchain Establishing Policy Exploration Based on Microgird Routing Network

in order to enhancing the operation efficiency of energy internet, and develop the function and value space, it proposes an energy Blockchain of router network by applying the Blockchain to the energy internet. Concretely, a complex is a router’s storage of energy internet with a distributed storage of Blockchain, it establishes the physical bases of energy Blockchain under the structure of router network. Furthermore, by divided the operation information of energy internet into technical data and business data, it gives the operation process, and realize the generation and management of alliance linkage. Finally, Applying the energy Blockchain to energy management, comparatively analyzed these positive change and application value by Blockchain technology.