Miracle-dz/UniFAR-FTUs huggingface dataset:
Pronouns and Metaphors in Obama’s and Trump’s Inaugural Speeches: A Comparative Analysis through Critical Discourse Analysis

A political speech is usually characterized by the use of different linguistic techniques and strategies that allow politicians to convey their political messages and persuade people of their ideologies and thoughts. The American presidential inaugural address is therefore a form of political discourse that imbues the characteristics of both written and oral discourse. This study consequently looked at how Presidents Barrack Obama and Donald Trump of America have used Linguistic resources (Pronouns and metaphors) to construct individual and collective ideologies and persuade America to accept their political ideologies. This exploration was carried out within the frameworks of Lakoff and Johnson Conceptual Metaphor Theory, Charter is – Black’s Critical Metaphor Theory and the content method of data analysis. The corpus was drawn from the respective official websites of Barrack Obama and Donald Trump. It was discovered that their speeches were characterized by skilful choice of rhetorical strategies to make their speeches effective in order to convince the electorates. President Obama used more of inclusive pronouns and metaphors to support and advocate for multilateralism and internationalism while Donald Trump used pronouns and metaphors that distanced him from the corrupt government that led to unemployment in America while supporting and advocating a strong
A Systematic Model for Process Development Activities to Support Process Intelligence

Process, manufacturing, and service industries currently face a large number of non-trivial challenges ranging from product conception, going through design, development, commercialization, and delivering in a customized market’s environment. Thus, industries can benefit by integrating new technologies in their day-by-day tasks gaining profitability. This work presents a model for enterprise process development activities called the wide intelligent management architecture model to integrate new technologies for services, processes, and manufacturing companies who strive to find the most efficient way towards enterprise and process intelligence. The model comprises and structures three critical systems: process system, knowledge system, and transactional system. As a result, analytical tools belonging to process activities and transactional data system are guided by a systematic development framework consolidated with formal knowledge models. Thus, the model improves the interaction among processes lifecycle, analytical models, transactional system, and knowledge. Finally, a case study is presented where an acrylic fiber production plant applies the proposed model, demonstrating how the three models described in the methodology work together to reach the desired technology application life cycle assessment systematically. Results allow us to conclude that the interaction between the semantics of formal knowledge models and the processes-transactional system development framework facilitates and simplifies new technology implementation along with enterprise development activities.
Combination Therapy Involving Lavandula angustifolia and Its Derivatives in Exhibiting Antimicrobial Properties and Combatting Antimicrobial Resistance: Current Challenges and Future Prospects

Antimicrobial resistance (AMR) has been identified as one of the biggest health threats in the world. Current therapeutic options for common infections are markedly limited due to the emergence of multidrug resistant pathogens in the community and the hospitals. The role of different essential oils (EOs) and their derivatives in exhibiting antimicrobial properties has been widely elucidated with their respective mechanisms of action. Recently, there has been a heightened emphasis on lavender essential oil (LEO)’s antimicrobial properties and wound healing effects. However, to date, there has been no review published examining the antimicrobial benefits of lavender essential oil, specifically. Previous literature has shown that LEO and its constituents act synergistically with different antimicrobial agents to potentiate the antimicrobial activity. For the past decade, encapsulation of EOs with nanoparticles has been widely practiced due to increased antimicrobial effects and greater bioavailability as compared to non-encapsulated oils. Therefore, this review intends to provide an insight into the different aspects of antimicrobial activity exhibited by LEO and its constituents, discuss the synergistic effects displayed by combinatory therapy involving LEO, as well as to explore the significance of nano-encapsulation in boosting the antimicrobial effects of LEO; it is aimed that from the integration of these knowledge areas, combating AMR will be more than just a possibility.
A Comprehensive Review of High-frequency Transmission Inverters for Magnetic Resonance Inductive Wireless Charging Applications in Electric Vehicles

This paper presents a detailed review of the design aspects and performance analysis of high-frequency inverters used in inductive power transfer application (IPT) for electric vehicles. The paper’s main scope is focused on the design of inverters used explicitly for wireless charging with misalignment variations and coil dimensions. The research articles in the literature focus on the high-power transfer and coil structures for the existing topologies. The magnetic resonance coupling in the IPT system depends on the resonance phenomenon. The operating frequency of the inverter must be the same as the resonant frequency in the compensation network. On complete assessments, the paper emphases on suitable inverter specifications for wireless charging and its related issues. In addition, the resonant inverters can be replaced with H-bridge inverters in consideration of voltage stress and harmonic control. Investigations on harmonic elimination strategies for H-bridge and resonant inverters are also discussed in the paper.
The Construction of Patient Understandings of Antibiotic use for Upper Respiratorytract Infections in Rural China.

Background: This paper seeks to identify the lay understandings concerning “anti-inflammatories”, their relation to antibiotics, and their utilization in treating upper respiratory tract infections (RTIs) among patients in rural Anhui Province, China. Methods: In-depth semi-structured interviews were carried out with 30 patients from rural clinics who presented with RTI symptoms between December 2017 and May 2018. These patient-informants were purposively sampled for follow-up interviews from an original sample of 1,030 patients who completed preliminary structured interviews. All informants were over 18 years old and had consulted a doctor at village- or township-level government health facilities for symptoms of RTIs within two weeks preceding follow-up interviews. Data was collected until saturation was achieved. Responses were audiotaped, transcribed, and analyzed using a thematic framework via NVivo 12.0 software. Results: A majority of informants reported that antibiotics such as cephalosporin, known colloquially as “anti-inflammation medicine”, are the preferred treatment for upper respiratory tract symptoms. These are commonly prescribed by township and village doctors, who are an important source of antibiotic-related information for patients. Approximately 87% (n=26) of patient informants reported that doctors neither revealed the name nor classification of their diagnosis. Only 13% (n=4) were specifically told they had an upper respiratory tract infection. However, all patients in this sample were treated with antibiotics regardless of diagnosis or pathogenic etiology. Conclusion: The findings of the present study may provide important insights for designing future interventions to promote public health awareness concerning unnecessary and inappropriate use of antibiotics in China.
Gamificando documentos y escritura para un aprendizaje activo de la paleografía y la diplomática en tiempos de pandemia

Recepción: 30/XII/2020 Revisión: 11/I/2021 Aceptación: 21/II/2021 Publicación: 30/III/2021 Rocío MORENO CABANILLAS. orcid 0000-0001-5579-3712 Profesora Sustita Interina del Área de Ciencias y Técnicas Historiográficas del Departamento de Geografía, Historia y Filosofía de la Facultad de Humanidades de la Universidad Pablo de Olavide. Correo electrónico: rmorcab@upo.es Resumen Este artículo pretende dar a conocer el proyecto de innovación docente Gamificando grafías. Documentos y escritura para un aprendizaje activo en la era del COVID-19, concedido por la Universidad Pablo de Olavide en el curso 2020/2021. El objetivo del proyecto se ha sustentado en la puesta en valor de las disciplinas de la paleografía y la diplomática a través de una metodología docente basada en dinámicas activas y participativas en el que el reto ha sido esencial para la motivación del alumnado.
Driving cycle based battery rating selection and range analysis in EV applications

The energy consumption of electric vehicles (EVs)depends on traffic environment, terrain, resistive forces acting on vehicle, vehicle characteristics and driving habits of driver. The battery pack in EV is the main energy storage element and the energy capacity determines the range of vehicle. This paper discusses the behavior of battery when EV is subjected to different driving environments such as urban and highway. The battery rating is selected based on requirement of driving cycle. The MATLAB/Simulink model of battery energy storage system (BESS) consisting of battery, bidirectional DC/DCconverter and electric propulsion system is built. The simulation is carried out and the performance of BESS is tested for standard driving cycles which emulate actual driving situations. It has been shown that, the amount of the energy recovered by battery during deceleration depends on the amount of regenerative energy available in the driving cycle. If the battery recovers more energy during deceleration, the effective energy consumed by it reduces and the range of the vehicle increases.
Risk‐adjustable stochastic schedule based on Sobol augmented Latin hypercube sampling considering correlation of wind power uncertainties

The risks associated with wind power forecast (WF) deviations are of paramount importance to many power system participants (PSPs). However, traditional sampling approaches are computationally prohibitive to model these deviations. Additionally, setting a risk level for satisfying different PSPs receives little attention. This paper constructs a risk-adjustable stochastic day-ahead scheduling (RSDS) model to balance the risk requirements of PSPs, and proposes a Sobol-augmented Latin Hypercube Sampling (SaLHS) approach to improve sampling efﬁciency for scenario generation process in RSDS. At ﬁrst, SaLHS and D-vine copula are combined to generate WF error scenarios for RSDS considering correlations of wind farms. Speciﬁcally, SaLHS improves the uniformity and removes the correlation of random samples. Then, a Glue-VaR-based generation adequacy index (GVGAI) is proposed to measure operational risk. By adjusting the parameters of GVGAI, a desirable risk level can be obtained considering requirements of different PSPs. Furthermore, a multi-objective RSDS model is constructed considering operational cost and GVGAI. At last, an entropy-Weighted Aggregated Sum Product Assessment method is proposed to ﬁnd the best compromise solution for RSDS model based on the Pareto front obtained by an 𝜖 -constraint method. A modiﬁed IEEE-RTS system is used to validate the effectiveness of proposed method via numerical simulations.
Towards enhanced nanoindentation by image recognition

The Oliver–Pharr method is maybe the most established method to determine a material’s Young’s modulus and hardness. However, this method has a number of requirements that render it more challenging for hard and stiff materials. Contact area and frame stiffness have to be calibrated for every tip, and the surface contact has to be accurately identified. The frame stiffness calibration is particularly prone to inaccuracies since it is easily affected, e.g., by sample mounting. In this study, we introduce a method to identify Young’s modulus and hardness from nanoindentation without separate area function and frame stiffness calibrations and without surface contact identification. To this end, we employ automatic image recognition to determine the contact area that might be less than a square micrometer. We introduce the method and compare the results to those of the Oliver–Pharr method. Our approach will be demonstrated and evaluated for nanoindentation of Si, a hard and stiff material, which is challenging for the proposed method.
Variation in biotic and abiotic factors associated with white spot syndrome virus (WSSV) outbreak in shrimp culture ponds

Shrimp production in India has gradually increased since 2009 with the introduction of Penaeus vannamei. Most coastal states in India have been important contributors to P. vannamei production. However, among the many challenges faced in sustainable shrimp farming, prevention of viral diseases and pond water quality management remain major concerns. In this study, 27 shrimp ponds located in Kalpakkam and Elavur regions of Tamil Nadu were monitored to characterise the pond water parameters including pH, salinity, temperature, alkalinity, ammonia, nitrite, hardness, dissolved oxygen (DO) and Vibrio spp. load. Sudden outbreaks of white spot syndrome virus (WSSV) were observed in some ponds which were found to be associated with variations in abiotic parameters. Parameters such as pH, DO and nitrite were observed to be within the permissible range, while temperature, salinity, Vibrio spp. load and ammonia were relatively higher in certain ponds. The influence of these abiotic factors triggering WSSV outbreak were investigated in this study.
A Review of Corporate Purpose: An Approach to Actioning the Sustainable Development Goals (SDGs)

This journal article explores Corporate Purpose as an approach to action the Sustainable Development Goals (SDGs). It achieves this objective by presenting a review of existing literature on Corporate Purpose and SDGs from the disciplines of business ethics, management studies, economics and psychology. The review showcases contributions exploring whether and how Corporate Purpose-led strategy facilitates the operationalization of the SDGs and proposes an emerging research agenda. This article employed an inductive approach methodology through grounded theory to develop a critical analysis of scientific evidence-based work for theory construction on Corporate Purpose. One of the major findings of this review is that to achieve the SDGs companies need to shift found from the “business as usual” approach, which perceives sustainability as an externality, to incorporating sustainability factors in the company’s underlying purpose. The article also (1) identifies trends in research outputs and reveals five major antecedents of the phenomenon (drivers to purpose), (2) identifies key gaps within the existing literature, (3) distinguishes three current approaches to Corporate Purpose and (4) elaborates on current theories of Corporate Purpose and SDGs linkages to identify opportunities and aid future research. In summary, this article unpacks Corporate Purpose mechanisms to action the SDGs and stimulates academic discussion of business transformational approaches to long-standing sustainability challenges.
HP–UHT granulites in the East Kunlun Orogen, NW China: Constraints on the transition from compression to extension in an arc setting of the Proto‐Tethys Ocean

The East Kunlun Orogen (EKO) of the northwest part of the Central China Orogenic belt records long‐lived orogenic events from the Cambrian to the Triassic, involving the tectonic evolution from Proto‐Tethys to Palaeo‐Tethys. Although high‐ and ultra high pressure (HP‒UHP) metamorphism has been recognized in the EKO, other metamorphic events associated with the orogenic history are little known. The metamorphic history of high‐ and ultra high temperature granulites and their pressure–temperature–time (P‒T–t) path is keys to reconstructing tectonic events associated with a subduction‐to‐collision transition. In this contribution, we present P‒T–t results for the mafic and pelitic granulite facies metamorphic rocks in the Qingshuiquan region of the EKO, determined using phase equilibrium modelling and zircon geochronology. The Jingshuikou granulite terrane records a clockwise P–T path with high‐P and ultra high temperature (HP–UHT) conditions at Pmax ~900 to 950°C at 13 kbar, at Tmax of ~950°C at 9‒12 kbar, and a final stage of 800‒895°C at 6‒10 kbar. LA‐ICP‐MS U–Pb dating of zircons provides systemic constraints on a long‐lived metamorphic age span of 530‒465 Ma, with a peak of c. 503 Ma. The HP–UHT metamorphism of the Qingshuiquan granulite terrane reveals a complete process from arc compression at the early stage of subduction to extension on the active continental margin related to rollback of the subducted slab in the Early Palaeozoic, driven by heat transfer from upwelling of the sub‐arc hot asthenosphere. The timing and P‒T conditions of the high geothermal gradient metamorphism can be used to understand the subduction and collision process of the Proto‐Tethys Ocean, including the relationship between high‐P and high‐ to ultra‐temperature metamorphism in the East Kunlun and other orogenic belts.
Ambiguity, appraisal, and affect: examining the connections between goal perceptions, emotional labour, and exhaustion

ABSTRACT Although public management scholars have examined the causes and consequences of goal ambiguity in public organizations, we know less about how goal perceptions intersect with emotional labour (EL) to shape attitudes in the public workplace. To address this gap, we draw from appraisal theory to examine the connection between goal perceptions and EL in U.S. government agencies. We then explore how these two concepts work in concert to shape one aspect of burnout, emotional exhaustion. Our evidence suggests that goal perceptions and EL interact such that goal characteristics appear more threatening under heavy emotional work demands.
Estimation of viscoelasticity of radial artery during flow-mediated dilatation using a single ultrasound probe based on blood pressure measurement via pulse transit time method

We developed a single ultrasound probe to simultaneously measure blood pressure and changes in the diameter of the radial artery to estimate the wall viscoelasticity during flow-mediated dilatation (FMD). This probe can be used for the early diagnosis of arteriosclerosis. This paper introduces the pulse transit time method to accurately measure changes in blood pressure during FMD. Using the single ultrasound probe and the proposed method, in vivo experiments involving three subjects were conducted, and reasonable results on blood pressure were obtained. Thus, the usefulness of the pulse transit time method was experimentally confirmed.
Quantitative detection of optical anisotropy of single microtubules by polarization-sensitive interferometric scattering microscopy

Microtubules (MTs) are ubiquitous cytoskeletal biopolymers essential for diverse cellular processes. MTs consist of strictly ordered tubulin dimers arranged into hollow cylindrical filaments and are known to be optically anisotropic, which enables their direct observation in microscopes based on polarization contrast. However, there are no experimental data to quantify the relation between the momentary optical anisotropy of the MT and the immediate arrangement of proteins in the MT structure. In this work, we introduce polarization-sensitive microscopy based on interferometric detection of scattering to quantify the scattering anisotropy of single unlabeled MTs with high precision. Our data explain the structural origin of MT anisotropy with a marginal contribution of the intrinsic asymmetry of a single tubulin molecule. We monitor changes in the MT scattering resulting from the binding of tau proteins to single MTs with a resolution of several proteins per diffraction-limited spot. We associate the changes in the contrast as well as in the scattering anisotropy with the formation of a shell around the MT formed by densely packed tau proteins. Our experimental results match closely with the theoretical model of the MT and include quantitative details about the polarization-dependent interaction of light with biological matter.
Türkçe Tweetler üzerinde Makine Öğrenmesi ile Nefret Söylemi Tespiti

The increase in the number and use of social media networks has led to the problem of sharing hate speech content more. Both public authorities and social media networks themselves produce various policies within the scope of combating increasing hate speech. Automated systems are needed to detect hate speech due to the very large volume of the data produced by users. Although, in recent years, automatic hate speech studies have been conducted on many languages, especially English, a comprehensive study on Turkish has not been presented yet. This study was carried out in order to meet this need. 1000 tweets in Turkish with keywords for different target groups were collected and labeled separately in three categories (hate speech, offensive expression, none of them) by two evaluators. The Turkish hate speech data set created was shared publicly for use in future studies. Various tests were carried out on this data set using different feature sets and different machine learning algorithms. The highest performance on the three-class data set was obtained in the test using the SMO (Sequential Minimal Optimization) algorithm with 79.9% F-measure value. While the size of the data set needs to be increased in order to achieve more successful results in detecting Turkish hate speech, this study is expected to be a pioneer for future studies.
Taxing Property in Developing Countries: Theory and Evidence from Mexico

May 6, 2022 Abstract The property tax is the most under-utilized tax in developing countries. We evaluate the revenue and welfare effects of the main policy instruments used to raise property tax revenue: tax rate changes and enforcement. Using administrative data from Mexico, sharp tax rate increases, and an enforcement experiment, we show that both policy instruments increase revenue. We then provide a conceptual framework to assess the welfare costs of these policies. The welfare cost of tax increases incorporates changes in compliance and consumption drops for compliant taxpayers. The welfare effect of enforcement includes the cost to noncompliant taxpayers from threats of fines and property seizure, a cost we infer using tax rate and enforcement elasticities. In Mexico, tax hikes raise welfare since revenue gains exceed losses from consumption drops. In contrast, enforcement reduces welfare as its costs overshadow the revenue gains. Welfare-maximizing governments would therefore prefer increasing tax rates over enhancing enforcement.
Analysis of Acid Dissociation Equilibrium of Bupropion by Capillary Zone Electrophoresis After the Heat-Degradation

An acid dissociation constant (pKa) of bupropion has been determined in an aqueous solution by capillary zone electrophoresis (CZE). Electrophoretic mobility of bupropion was measured by CZE over its acid-dissociating pH range, and a pKa value has been determined as 8.75±0.02 (mean ± standard error, ionic strength: 0.010 mol dm−3). Although bupropion degrades under heated and alkaline conditions and the degraded species from bupropion coexist in the aqueous solution, the pKa value of bupropion can also be determined by CZE with the residual bupropion without any interference from the degraded species. The pKa value determined after the heat-degradation was 8.74±0.02; the result agreed well with the one determined with the freshly prepared solution. Utilization of the separation characteristics of CZE has been demonstrated with bupropion for the analysis of the fast equilibrium of acid-base reaction under the coexistence of the degraded species.