Miracle-dz/UniFAR-FTUs huggingface dataset:
Non-Heisenberg covalent magnetism in iron oxide clusters

The sensitivity of material properties to the atomic and nanoscale morphology is most clearly demonstrated in small gas-phase clusters. In particular, magnetism serves as an extremely sensitive probe of the smallest modifications of atomic environment. This Rapid Communication demonstrates the drastic changes in both the exchange mechanism and the atomic moments in iron oxide clusters as compared to the bulk. In particular, the exchange is essentially non-Heisenberg and the exchange interactions are increased by an order of magnitude compared to bulk hematite. In addition, very large atomic magnetic moments are observed on oxygen sites due to strong spin polarization. As ${\mathrm{Fe}}_{3}{\mathrm{O}}_{4}^{+}$ and ${\mathrm{Fe}}_{5}{\mathrm{O}}_{7}^{+}$ are pure trivalent, double exchange is excluded and super exchange is the dominant exchange mechanism in these iron oxide clusters. Therefore, the non-Heisenberg behavior is attributed to covalent magnetism as the hybridization between $\mathrm{Fe}\phantom{\rule{4pt}{0ex}}3d$ and $\mathrm{O}\phantom{\rule{4pt}{0ex}}2p$ orbitals for clusters is strongly enhanced compared to bulk hematite and becomes magnetic state dependent.
Sistematização e Incorporação de Elementos Gerenciais Tácitos à Linha de Balanço de uma Empresa para Planejamento de Edifícios Altos

O planejamento e controle da produção vêm se mostrando cada vez mais indispensável para as empresas que disputam espaço no mercado da construção. A Linha de Balanço é reconhecida por diversos autores como uma das ferramentas que melhor auxilia os gerentes de empreendimentos com serviços repetitivos a obterem um controle das atividades e a simularem planos de ataque futuros à obra. Este trabalho, usando a metodologia do estudo de caso, mostra os principais critérios na elaboração da Linha de Balanço para o planejamento de longo prazo das obras de uma construtora. Os resultados obtidos envolvem uma série de critérios e elementos gerenciais tácitos não especificados na Linha de Balanço da construtora que são sugeridos a serem sistematizados e incorporados à ferramenta. A conclusão da pesquisa define uma Linha de Balanço mais fiel à realidade, auxiliando com maior eficácia o gerente de obras.
Impuesto a las bebidas no alcohólicas y su consumo en Ecuador

El propósito de este artículo es analizar si el incremento del Impuesto a los Consumos Especiales (ICE) en las bebidas azucaradas en el mes de abril del año 2016, disminuyó la ingesta de estos productos en los habitantes de Ecuador. Para ello, se realizó la aplicación de encuestas a 1878 personas pertenecientes a las regiones de la Costa, Sierra y Amazonía. Los resultados de estudio destacaron que a pesar del incremento de este tributo las personas de la zona urbana consumen este tipo de bebidas por lo menos una vez al mes, además se puede apreciar que los mayores consumidores son los adolescentes. A pesar de que el estado implementó esta medida, no se ha cumplido con su objetivo ya que el estado de salud de los ciudadanos no ha mejorado en los últimos años.
A Importância da Análise de Dados na Engenharia de Produção

A engenharia de produção é uma engenharia de métodos, os quais descrevem claramente as etapas e procedimentos para otimizar processos e alcançar a excelência na gestão. Esses métodos utilizam ferramentas gerenciais, computacionais, matemáticas e estatísticas, sendo que grande parte deles depende de uma cuidadosa metodologia de levantamento e análise de dados. Dessa forma, fica clara a importância da análise de dados na engenharia de produção, o que constitui o objetivo principal deste trabalho. Propõe-se apresentar a metodologia de análise de dados, assim como a sua evolução oriunda da Indústria 4.0, introduzindo o conceito de big data analytics. A importância da análise de dados em diversas áreas da engenharia de produção é mostrada através de exemplos da literatura científica. Apresenta-se também uma analogia entre as técnicas de análise de dados e de processos de fabricação, o que torna muito claro para o leitor como o processo de transformação da matéria-prima em produto final pode ser comparado com a transformação de dados brutos em informações úteis para a tomada de decisão. Fica assim evidente a abrangência da análise de dados e sua importância em diversas áreas da engenharia de produção.
Nitrogen Uptake and Yield of Maize as Influenced by Nitrogen and Phosphorus Levels during Kharif Season

1 . It is the third most important cereal after rice and wheat for human food by contributing to 9 per cent of India’s food basket and 5 per cent to World’s dietary energy supply (Saikumar et al., 2012). India is the sixth largest producer of maize with 22.36 million tonnes of production from 9.40 million hectares, with a productivity of 2.4 t ha -1 . In Andhra Pradesh, it is cultivated in an area of 0.23 million hectares with a production of 1.41 million tonnes and productivity of 6.1 t ha -1 (ASG, 2016).
Interpretable Attribute-based Action-aware Bandits for Within-Session Personalization in E-commerce

When shopping online, buyers often express and reﬁne their purchase preferences by exploring different items in the product catalog based on varying attributes , such as color, size, shape, and material. As such, it is increasingly important for e-commerce ranking systems to quickly learn a buyer’s ﬁne-grained preferences and re-rank items based on their most recent activity within the session. In this paper, we propose an O nline P ersonalized A ttribute-based R e-ranker ( OPAR ), a light-weight, within-session personalization approach using multi-arm bandits (MAB). As the buyer continues on their shopping mission and interacts with different products in an online shop, OPAR learns which attributes the buyer likes and dislikes, forming an interpretable user preference proﬁle and improving re-ranking performance over time, within the same session. By representing each arm in the MAB as an attribute, we reduce the complexity space (compared with modeling preferences at the item level) while offering more ﬁne-grained personalization (compared with modeling preferences at the product category level). We naturally extend this formulation to weight attributes differently in the reward function, depending on how the buyer interacts with the item (e.g. click, add-to-cart, purchase). We train and evaluate OPAR on a real-world e-commerce search ranking system and benchmark it against 4 state-of-the-art baselines on 8 datasets and show an improvement in ranking performance across all tasks.
Electrochemical Activity of TiO2 Nanoparticles in NaOH Electrolyte via Green Synthesis Using Calotropis gigantea Plant Leaf Extract

Objectives: Green synthesis of Titanium dioxide (TiO2) nanoparticles using Calotropis gigantea (CG) plant leaf extract. Methods: Environmental ecofriendly green approach is used to synthesize nanostructured TiO2 nanoparticles by using TiCl4 as a precursor and C. gigantea plant leaf extract as a catalyst. The secondary metabolites in the CG plant leaf extract help to transform the Ti4+ ions to TiO2 nanoparticles. The detailed structural properties are studied using X-ray diffraction (XRD), Field emission scanning electron microscopy (FESEM), and high-resolution transmission electron microscopy (HRTEM). The phase formation and chemical state of the prepared samples are examined by Raman and Energy Dispersive X-ray spectroscopy (EDX). The vibrational frequencies between thebonds of atoms are studiedwith Fourier Transform InfraRed spectroscopy (FTIR). The electrochemical properties of green synthesized nanoparticles using cyclic voltammetry (CV) technique in aqueous electrolyte. Findings: XRD data conform to the tetragonal structure of TiO2 in the rutile phase with P42/mnm space group and crystallite size is also found to be 9.84 nm. The SEM and TEM images show that the non-uniform spherical and flowerlike shape of grains with an average grains size of 100 nm. The specific capacitance of the sample is estimated to be 238 F g-1 at a scan rate of 1 mV s-1 with good reversibility. Novelty: The novelty of this research lies in the fabrication of the electrodematerial with TiO2 3D nanostructures for supercapacitor applications. This kind of morphology certainly enhances the surface area and leads to achieving better electrochemical performance.
FREQUENCY OF REPLACEMENT WITH MAXIMUM EFFECTS OF ELECTRICUTIONS AND CUMULATIVE DAMAGES IN RELIABILITY

Electricutions creating damages to the system is a common phenomenon in reliability theory, which creates damage to the system due to its magnitude will affect the functioning of a system. Adequate replacement of the system is not realistic since it involves cost. A stochastic model is constructed with three different cases of Electricutions and the time to replacement of a system is obtained, when the breakdown threshold for the cumulative damages and maximum magnitude of Electricutions crosses its threshold simultaneously. The numerical illustration is determined to the mean and variance of time to replacement and the conclusion is presented.
Is maintaining sleep hygiene enough for good sleep? A socioeconomic correlation study in north India

Background: Sleep medicine is not considered an essential service, the lack of adequate sleep can reduce immunity, and the ability to handle stress, and organ dysfunctions. Objectives: A cross-sectional exploratory study was conducted to test whether socioeconomic status moderated links between sleep indicators. Setting: Three hundred and seventy-five Households (male head of family) were included in the study and chosen randomly representing their respective wards in equal proportion. Measurements: Assessments included Sleep Hygiene Index (SHI), Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS) and Modified Kuppuswamy’s Socioeconomic Scale (SES). Results: The study indicates SHI and ESS showed significant negative correlation with SES. This indicates poor sleep hygiene and more day time sleepiness with lower SES group. PQSI showed significant positive correlation indicating upper SES group showing poor sleep quality. Conclusions: We propose developing road map of sleep promotion program, which is a combination of sleep hygiene practice education, video-based visualization (imagery) training, and an educational session with some tips for time management in population of this part of India.
Emergence of Mucormycosis: A Therapeutic Challenge for COVID-19 in Pakistan

Black fungus is opportunistic pathogens that may cause life-threating infection inimmunocompromised patients. The mucormycosis associated with COVID-19 is now become a serious health concern around the globe, including several Asian countries. In Pakistan mucormycosis fatalities are now being found among COVID-19 individuals. Individuals with diabetes, malnourishment, Cancer, organ transplantation, active tuberculosis, Liver diseases, chronic respiratory diseases, HIV, AIDS and asthma are more Susceptible to infection. Diabetes mellitus patients are at more risk of mortality infection of this fungus. To counteract mucromycosis in patients, rapid and precise diagnostic facilities, medical assistance, and a quick yet coordinated approach are all suggested.
Development of a GFDM waveform with radio defined with software

In this paper the performance of a Generalized Frequency Division Multiplexing waveform is evaluated when compared to an Orthogonal Frequency Division Multiplexing signal. For the development of the previous waveforms, the GNU radio software and the Software Defined Radio (SDR) equipment USRP N210 are used. Through a spectrum analyzer the power of both waveforms are measured and the Out-of-Band Radiation is analyzed. Then, the results obtained are compared and the advantages and disadvantages of the implementation of GFDM as a waveform within the fifth generation systems are exposed.
Optimizing of the Capital Structure of the Concrete Firm in the Theory and Practice of the Temporary Corporate Finance

The aim of this article is to analyze the theoretical and practical problems concerning optimizing of the capital structure of the concrete firm and to answer the question if it is possible to prepare the recommended process for this optimizing. The most important problem in a theoretical way is to identify the theory which best fit. The firm has to decide firstly if to start the process of active optimizing or if it is satisfied with the following of branch standards or it is satisfied with complying with the pecking order theory . In case of active optimizing process firm could use theories stipulating the concrete empirical value, the traditional theory and the theory of spouses Neumaiers’. In case of using the traditional theory it is necessary to cope with the problems of identifying the cost of equity and debt in dependency on the indebtedness. The optimal capital structure is not possible to identify, but only to estimate because of the different approaches to the solution of the application problems of single theories. The optimal capital structure will also vary because of the subjective approach to the process of optimizing. Nevertheless the wider manual how to cope with the process of the optimizing of the capital structure of the concrete firm is possible to prepare. Key-Words: Capital structure; Optimizing; Firms; Theories; Application; Instructions;
STUDY THE SUSCEPTIBILITY OF ALCOHOLIC EXTRACTS OF SOME CITRUS FRUITS PEELS AS ANTIOXIDANTS AND ANTIMICROBIALS

The current study included the alcoholic extraction of peels of some types of citrus fruits, which included lemons, grapefruit, and Mandarin, and studying their ability as natural antioxidants, by estimating the amount of phenols and flavonoids, and the antioxidant activity, in addition to studying the inhibitory activity of the studied alcoholic extracts. The results of the study indicated the superiority of the amount of phenols in the alcoholic extract of mandarin, which amounted to 272 mg/ml, followed by lemon peel extract of 245 mg/ml, while grapefruit recorded the lowest amount, which amounted to 238 mg/ml. As for the results of the amount of flavonoids in the alcoholic extract of lemon peel, it was the highest, reaching 41.73mg/ml followed by the extract of mandarin peels 21.44 mg/ml, and finally the alcoholic extract of grapefruit peels 20.1 mg/ml. As for the results of the antioxidant activity of the studied peels, represented by measuring DPPH, the results indicated that the extract of grapefruit peels had the highest antioxidant activity, reaching (16.35 μg equivalent ascorbic acid/ml) at a concentration of 25 mg/ml, followed by lemon peels, where the DPPH value reached (8.51 μg equivalent ascorbic acid/ ml). ) and then mandarin peels (6.49 μg equivalent to ascorbic acid/ ml) at the same concentration. As for the ability to bind ferrous ion, the mandarin peel extract recorded the highest binding rate, which reached (84.58%), followed by lemon peels (78.78%), and then grapefruit peels (76.18%), While lemon peel extract recorded the highest ability to Scavenging hydrogen peroxide, which reached (77.1%), followed by grapefruit peels, which amounted to (50.01%), while the mandarin peel extract recorded the lowest percentage (36.24%). As for the results of the reducing power, the extract of mandarin peels was the highest, as it reached (1.453nm), followed by the extract of grapefruit peels (1.177nm) and finally lemon peels (0.507nm). The results of the inhibitory ability of the alcoholic extracts of the citrus peels studied indicated that all the extracts possessed an inhibitory activity against E coil, Klebsella spp, and Staphylococcus aurus in different concentrations, where the inhibitory ability increased with the increase in the concentration of the extract used.
Error-Aware Imitation Learning from Teleoperation Data for Mobile Manipulation

In mobile manipulation (MM), robots can both navigate within and interact with their environment and are thus able to complete many more tasks than robots only capable of navigation or manipulation. In this work, we explore how to apply imitation learning (IL) to learn continuous visuo-motor policies for MM tasks. Much prior work has shown that IL can train visuo-motor policies for either manipulation or navigation domains, but few works have applied IL to the MM domain. Doing this is challenging for two reasons: on the data side, current interfaces make collecting high-quality human demonstrations difficult, and on the learning side, policies trained on limited data can suffer from covariate shift when deployed. To address these problems, we first propose Mobile Manipulation RoboTurk (MoMaRT), a novel teleoperation framework allowing simultaneous navigation and manipulation of mobile manipulators, and collect a first-of-its-kind large scale dataset in a realistic simulated kitchen setting. We then propose a learned error detection system to address the covariate shift by detecting when an agent is in a potential failure state. We train performant IL policies and error detectors from this data, and achieve over 45% task success rate and 85% error detection success rate across multiple multi-stage tasks when trained on expert data. Codebase, datasets, visualization, and more available at https://sites.google. com/view/il-for-mm/home.
Particularidades de las réplicas en el proceso de la comunicación lingüística intercultural en la etapa inicial de la conversación telefónica, entre representantes de los países hispano y ruso-hablantes

En el presente trabajo se lleva a cabo un análisis de la literatura sobre el problema de la comunicación intercultural, incluyendo la conversación telefónica, entre representantes de los países hispano y ruso-hablantes. Cobra especial relevancia el análisis de las peculiaridades de las réplicas en el proceso de la comunicación lingüística intercultural en la etapa inicial de una conversación telefónica, entre representantes de países hispanohablantes y de habla rusa, ya que contribuye a la interacción de las culturas y al enriquecimiento del acervo lingüístico de sus participantes. El objetivo del presente trabajo fue analizar las réplicas clave durante las conversaciones telefónicas entre representantes de varios países de habla hispana. El autor utiliza réplicas de clichés en diferentes etapas de una conversación telefónica y describe las razones para elegir una u otra réplica. Además, el autor presta especial atención a las réplicas usadas en el inicio de la conversación telefónica. El principal método de investigación para obtener información sobre el tema del trabajo fue la entrevista realizada con interlocutores hispanos sobre temas específicos. Además, se realizó un análisis de contenido de las conversaciones telefónicas para identificar las réplicas más repetitivas.
Wayne Roberts: Food systems thinker, public intellectual, “actionist”

Wayne Roberts (1944–2021) was a food systems thinker, public intellectual, and “actionist. ” This text was developed from a series of oral history interviews conducted between December 2020 and January 2021. It touches upon several of the key themes Wayne addressed during the interviews: adopting a food systems approach; employing the power of ideas; identifying solutions and being propositional; acknowledging progress for political credit; enhancing impact through media, old and new; working strategically to “seed” then “tip”; playing ball to influence government; and, forming alliances with academics and other champions. In addition, we provide selected links to additional resources from Wayne himself. In this article, which inaugurates the Interviews section of Canadian Food Studies/La Revue canadienne des études sur l’alimentation, we aim to do justice to the gift of Wayne’s experiences and knowledge by sharing a selection and synthesis of his words.
Possible Improvement to NSGA-III on Discrete Multi-Objective Optimizations

—The state-of-the-art multi-objective evolutionary algorithm (MOEA), Nondominated Sorting Genetic Algorithm-III (NSGA-III), has been recently proposed for the multi-objective optimizations and was shown superior to several MOEAs in continuous mathematical problems. Nevertheless, some works reported that NSGA-III yielded lower performance in discrete multi-objective optimizations where objective values are discrete. In such problems, NSGA-III faced the difficulty to generate nondominated solutions linked to all reference points. This work studies the possibilities to improve quality of solutions from NSGA-III. Multi-objective knapsack problem is used to evaluate the performance of NSGA-III comparing with NSGA-II. The results reveals that NSGA-III was unable to link all reference points, particularly in the best reference points of each objective. Observation of the solutions suggests that adding extra solutions pointing to a possible reference point of each objective may improve the performance of NSGA-III.
Removal of Ionic Liquids from Oil Sands Processing Solution by Ion-Exchange Resin

Ionic liquids (ILs) have been reported to be good process aids for enhanced bitumen recovery from oil sands. However, after the extraction, some ionic liquids are left in the residual solids or solutions. Herein, a washing–ion exchange combined method has been designed for the removal of two imidazolium-based ILs, ([Bmim][BF4] and [Emim][BF4]), from residual sands after ILs-enhanced solvent extraction of oil sands. This process was conducted as two steps: water washing of the residual solids to remove ILs into aqueous solution; adsorption and desorption of ILs from the solution by the sulfonic acid cation-exchange resin (Amberlite IR 120Na). Surface characterization showed that the hydrophilic ionic liquids could be completely removed from the solid surfaces by 3 times of water washing. The ionic liquids solution was treated by the ion-exchange resin. Results showed that more than 95% of [Bmim][BF4] and 90% of [Emim][BF4] could be adsorbed by the resins at 20 °C with contact time of 30 min. The effects of some typical coexisted chemicals and minerals, such as salinity, kaolinite (Al4[Si4O10](OH)8), and silica (SiO2), in the solution on the adsorption of ionic liquids have also been investigated. Results showed that both kaolinite and SiO2 exerted a slight effect on the uptake of [Bmim][BF4]. However, it was observed that increasing the ionic strength of the solution by adding salts would deteriorate the adsorption of [Bmim]+ on the resin. The adsorption behaviors of two ILs fit well with the Sips model, suggesting the heterogeneous adsorption of ionic liquids onto resin. The adsorption of ionic liquids onto Amberlite IR 120Na resin was found to be pseudo-second-order adsorption. The regeneration tests showed stable performance of ion-exchange resins over three adsorption–desorption cycles.
The Natural History of an Interview and the microanalysis of behavior in social interaction: A critical moment in research practice

The Natural History of an Interview (NHI) began in 1955 at the Center for Advanced Study in the Behavioral Sciences. NHI was an applied project, as well as multi-, inter-, and transdisciplinary, involving a core group of well-established researchers, all of which were central to its results and influence. The result was a new framework for thinking about communication in face-to-face interaction, including the development of new tools, and a set of principles for analysis. The natural history method focuses on fine-grained observation and analysis of observable behavior during social interaction. Originally involving half a dozen researchers for an academic year, then several dozen scholars over a decade, the assumptions and methods of NHI contributed significantly to the assumptions and techniques used to study interaction today.