Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effects and Process of the Politics Instruction Utilizing an Online Game, 'Goonzu'

The politics instruction, where utilizing an online game named 'Goonzu' as an instructional tool had been implemented to students from four classes of 5th grade during ten weeks. Four teachers participated in teaching the students and constructed curriculum by playing 'Goonzu' and analyzing the regular elemental school Politics curriculum before implementation. To verify effectiveness of the instruction, the survey, asking students' efficacy, interest and their cognitive changes of main elements that students considered when they elected their representatives, was conducted. Moreover opinions about this instruction from the students and the teachers were gathered through the forms of interview and short essay. As the results of this research, students' efficacy toward doing politic activities was significantly increased. However, m case of students' interests to this instruction, there was no significant difference despite of increase of the mean. Also, students put more weight on intrinsic e1ements(daigency, responsibility) of the representative in online election than offline election and the students, who took the course, stressed intrinsic elements more than other students.
Impact of demographic indicators on trade openness: evidence from different geographic regions

ABSTRACT Trade openness and the share of the working-age population vary in different geographic regions of the world, and they tend to be especially high in Europe. Under the hypothesis that the share of the working-age population has a positive effect on trade openness, we clarify the difference in trade openness by region caused by age structure using panel data for the following four regions: Europe, Asia, America, and Africa. Based on fixed-effects models by region, we estimate equations that include trade openness as the dependent variable and the share of the working-age population as an independent variable. Blinder–Oaxaca decomposition is conducted setting Europe as the benchmark. Our empirical results reveal that the share of the working-age population has significantly positive effects on trade openness in all regions except Africa. Moreover, the high trade openness in Europe compared with Asia can be explained by the endowment effect of the age structure, and that compared with America or Africa can be explained by both the endowment and coefficient effects of the age structure.
Single-Stage LED Driver with Dimming and Universal Input Voltage Capability

This paper presents a boost bridgeless totem-pole converter operating as power factor correction (PFC) stage integrated with a half-bridge LLC resonant converter as power control (PC) stage. The resultant single-stage converter yields in an effective integration, reducing the number of switches from 4 to 2 (50% reduction). This integrated topology aims decreasing conduction and commutation power losses and, moreover, achieving high power factor (PF), low total harmonic distortion (THD) and higher efficiency when compared with other converter structures. The converter is designed to have a fixed bus voltage, which is controlled by changing the half-bridge duty cycle under universal input voltage (UIV). However, since the HB duty cycle also affects the LLC converter due to their integration, a variable inductor is employed to control the LLC impedance and achieve a controlled output current and dimming capability. Simulation and experimental results are presented to verify the theorical analysis, through a 100 W LED luminaire. The results show voltage and current levels in the topology for different operating points. Moreover, it is shown the feasibility of output current control capability through variable inductor even with HB duty cycle variation.
A bibliometric and thematic review of business excellence journal papers from 1990 to 2020

This paper presents a bibliometric and thematic review of journal papers specifically related to BE frameworks (BEFs) that are used for national BE awards and advocated by the Global Excellence Model (GEM) Council. The paper will help researchers and practitioners locate relevant BE data and information more easily, and guide them on which journals in which to publish them. The research includes an assessment of the average citation rate per year and BE paper. 10,089 potential BE papers were initially identified from a keyword search of the Elsevier database, to ultimately identify 415 as BE papers. These papers were analysed and have subsequently been made available to all researchers in an excel file. This research found that: the peak in publishing BE papers was in 2019; Total Quality Management and Business Excellence is the most popular journal for publishing BE papers; the most popular research area is studying ‘Design of BEFs’ and there is potential for future research on ‘Impact of BE’; and the average number of citations per year for a BE paper is 2.1, with the most cited paper achieving an average of 29.6 citations per year. The research includes recommendations on how researchers can increase their citation rate in this area.
Knowledge, attitude, and misconceptions towards osteoporosis among patients with musculoskeletal health problems

Purpose/Introduction:To determine the level of awareness and knowledge about osteoporosis among a sample of patients with musculoskeletal diseases. Methods: Through a cross-sectional study on patients with musculoskeletal disorders either degenerative or inflammatory (aged 18-62 years), 1200 participants were interviewed and responded to a prepared validated questionnaire about the knowledge and attitude towards Osteoporosis (OP) and its potential complications as fragility fractures and kyphosis. Results: Seventy eight percent (936) of the studied subjects know osteoporosis (of them only 930 agreed to complete the study) while 22% did not know a disease called osteoporosis and did not complete the remaining questions. A positive effect was found for educational level, occupation, and residence on knowledge of osteoporosis (P=0.000, P=0.001, P=00.002 respectively). Among those who completed the questionnaire, the majority (72.2% and 82%)were found to have the misconceptions that OP can lead to joint deformities and bone pain which reflected that their knowledge about the disease lacks the required in-depth awareness. Conclusion: There are variable degrees of knowledge and attitudes towards patients with musculoskeletal disorders which are affected by multiple factors including educational level, occupation, residence and marital status. However, the in-depth awareness about the disease is highly limited and efforts should be done to overcome this point as a first step to prevent the disease. Summary: Awareness and knowledge about Osteoporosis (OP) and its risk factors is highly limited and efforts should be done to overcome this point as a first step to prevent the disease.
Unusual Clinical Course of Odontoid Fracture: Transient Prehospital Cardiopulmonary Arrest

Odontoid fracture is the most common type of cervical spine fracture in the elderly. Neurological injury due to odontoid fracture is uncommon, but if the injury is severe, it can lead to cardiac arrest. We present a case of odontoid fracture with transient cardiac arrest just after the fall, which fully recovered in a few minutes before arrival at the hospital. A 62-year-old man fell down on a street, and compressions were performed by a witness. On arrival of the emergency medical service, he showed pulseless electrical activity. After two minutes of cardiac resuscitation, he experienced a return of spontaneous circulation and was breathing spontaneously. On arrival at our hospital, his blood pressure was 171/106 mmHg, heart rate was 100 beats per minute, and respiratory rate was 12 times per minute, but he was at Glasgow Coma Scale 3 with an alcohol odor from exhaled breath. Six hours after admission, his level of consciousness improved, and he complained of neck pain and difficulty in movement of his arms and legs. CT revealed a fracture and posteriorly displaced C2 bone. MRI showed a hyper-intense area from C1 to C2. We made a diagnosis of spinal cord injury caused by an odontoid fracture that led to cardiac arrest. An odontoid fracture can cause transient cardiac arrest just after a fall. The possibility of odontoid fracture associated cervical spine injury should be considered in elderly and unconscious patients with minor trauma. Early CT cervical spine in selected patients can be helpful, especially in patients with cardiac arrest, even if it lasted for only a short prehospital period.
Changes in chlorophyll a and its response to nitrogen and phosphorus characteristics over the past three decades in Poyang Lake, China

In this study, we explore the relationship between changes in chlorophyll a (Chl a) content, total nitrogen (TN) and total phosphorus (TP) characteristics from 1989 to 2018 in Poyang Lake, China, by applying Landsat Thematic Mapper/Enhanced Thematic Mapper (TM/ETM) image data in combination with in situ monitoring data. Results showed that the average Chl a content in water over this 30‐year period was 5.77 μg/L. Although the water quality status of the lake was generally healthy, proportional Chl a content >10 μg/L (E10) has gradually increased, and the water quality in some areas of the lake has subsequently deteriorated over the past 30 years. Additionally, E10 was significantly positively correlated to the TN/TP. Changes in Chl a content were significantly positively correlated to the ratio of TN flux to TP flux from tributaries into the lake, but negatively correlated to TP flux. Results indicated that Lake can be categorized as phosphorus‐sufficient and nitrogen limited.
Changes in the pH of Two Different Composts Are Dependent on the Production of Organic Acids

The effects of pH in two different composts were studied. Yamagata compost was made under aerobic conditions, while Shimoduma compost was under semi-aerobic conditions. The change in pH of Yamagata compost was very limited, 7.38–8.97, and it started to increase only after 40-th d of composting. The pH increase from 40 to 70 d coincided with an increase in ammonium content, while a decrease after 70 d was probably as a result of nitrification. The concentration of organic acids (formic, acetic, propionic, iso-butyric and iso-valeric) produced in the first 14 d was high and after that, acetic, propionic and iso-valeric acids decreased quickly. In the Shimoduma compost, however, the range of pH change was wider (3.95–6.65) and increased almost linearly. The quantity of organic acids (citric, lactic, formic and acetic acid) produced depended on the periodic manual stirring. Immediately after stirring the amount of acids decreased, but it increased during the period without stirring.
Ecosystem Services in Strategic Environmental Assessment: a Case Study of an Urban Development Plan in Gallipoli City

The growth of urban populations leads to cities and their suburbs to spread, expand, and replace agricultural and natural lands. Indeed, urbanization brings to land-use change, altering the relationship between human societies and environmental resources with loss of important natural and rural ecosystem goods and services. In urban areas, the elements that provide ecosystem services are defined as ‘green infrastructure’. The Strategic Environmental Assessment (SEA) is an appraisal process introduced in the EU regulation with Directive 2001/42/CE to assess the effect of the Plans and Programmes on the environment and human well-being. An important part of SEA processes is represented by the analysis of different scenarios of the urban development with mitigation measures: actions must be implemented in order to avoid and reduce the expected adverse environmental impacts. Currently, among these measures, few or none takes into consideration the assessment of ecosystem services, and therefore, the concept of ecosystem services in urban planning is purely conceptual than practical. Starting from a case study in the Gallipoli municipality, South Italy, we propose a methodological analysis to evaluate ecosystem services in a SEA process. In particular, we have analyzed different urban scenarios in synergy with the mitigation measures proposed. The results show a decrease in ecosystem services passing from the current agricultural land use to an urban development forecast with the enhancement of ecosystem services if we apply specific mitigation actions to the original urban plan. Authors believe that a correct and profitable assessment of ecosystem services in SEA strategy allows passing from an approach mainly oriented towards a conservation purpose to an approach aimed also to the improvement of ecosystem services within the territory transformation processes. In accordance with the spontaneous vegetation and the typical crops of the area, the mitigation measures developed are mainly focalized on green infrastructures that can increase the ecological functions.
Expressions of self-ageism in four European countries: a comparative analysis of predictors across cultural contexts

Abstract Self-ageism has a significant negative impact on older people's ageing experiences and health outcomes. Despite ample evidence on cross-cultural ageism, studies have rarely looked into the way cultural contexts affect self-ageism. In this article, we compare expressions of self-ageism and its possible predictors across four European countries based on two questionnaires in a study sample of 2,494 individuals aged 55 and older. We explore how predictors of self-ageism are moderated by cultural values in a comparative fixed-effects regression model. We empirically show that similarly to ageism, self-ageism is not present in the same way and to the same extent in every country. Moreover, the level to which cultures value hierarchy and intellectual autonomy significantly moderates the association between self-ageism and individual predictors of self-ageism. Our study adds to the small existing body of work on self-ageism by confirming empirically that certain expressions of self-ageism and individual predictors are susceptible to change in different cultural contexts. Our research results suggest that self-ageism interventions may benefit from a culturally sensitive approach and imply that more culturally diverse comparisons of self-ageism are necessary to figure out fitting ways to reduce self-ageism.
Estratégias de controle aplicadas para mitigação de oscilações decorrentes de CPL em uma microrrede CC do tipo boost-buck

A utilização de fontes renováveis de energia em paralelo com o desenvolvimento da eletrônica de potência possibilitou o desenvolvimento de microrredes CC. Nesse sentido este trabalho realiza uma revisão de estratégias de controle clássicas aplicadas para mitigar oscilações de um conversor boost conetado a uma CPL buck, onde essas estratégias são aplicadas ao conversor boost que irá operar como um regulador de tensão. As metodologias escolhidas utilizam estrutura de realimentação de saída, através da solução da equação Diofantina e lugar geométrico das raízes, e estruturas de realimentação de estados, através da solução da equação de Lyapunov e da solução da equação de Riccati.
Dual-Port SOT-MRAM Achieving 90-MHz Read and 60-MHz Write Operations Under Field-Assistance-Free Condition

The development of new functional memories using emerging nonvolatile devices has been widely investigated. Spin-transfer torque magnetoresistive random access memory (STT-MRAM) has become new technology platform to overcome the issue in power consumption of logic for the application from IoT to AI; however, STT-MRAM has a tradeoff relationship between endurance, retention, and access time. This is because the MTJ device used in STT-MRAM is a two-terminal device, and excessive read current for high-speed readout can cause unexpected data writing, or so-called read disturbance. In order to meet the demand for the realization of high-speed nonvolatile memory, the development of new memories based on innovative circuit, device, and integration process is required. In this article, we demonstrate an SOT-MRAM, a nonvolatile memory using MTJ devices with spin-orbit-torque (SOT) switching that have a read-disturbance-free characteristic. The SOT-MRAM fabricated using a 55-nm CMOS process is implemented in a dual-port configuration utilizing a three-terminal structure of the device for realizing a wide bandwidth applicable to high-speed applications. In addition, a read-energy reduction technique called a self-termination scheme is also implemented. Through the measurement results of the fabricated prototype chip, we will demonstrate the proposed SOT-MRAM achieves 60-MHz write and 90-MHz read operations with 1.2-V supply voltage under a magnetic-field-free condition.
Dual-Window Superpixel Data Augmentation for Hyperspectral Image Classification

Deep learning (DL) has been shown to obtain superior results for classification tasks in the field of remote sensing hyperspectral imaging. Superpixel-based techniques can be applied to DL, significantly decreasing training and prediction times, but the results are usually far from satisfactory due to overfitting. Data augmentation techniques alleviate the problem by synthetically generating new samples from an existing dataset in order to improve the generalization capabilities of the classification model. In this paper we propose a novel data augmentation framework in the context of superpixel-based DL called dual-window superpixel (DWS). With DWS, data augmentation is performed over patches centered on the superpixels obtained by the application of simple linear iterative clustering (SLIC) superpixel segmentation. DWS is based on dividing the input patches extracted from the superpixels into two regions and independently applying transformations over them. As a result, four different data augmentation techniques are proposed that can be applied to a superpixel-based CNN classification scheme. An extensive comparison in terms of classification accuracy with other data augmentation techniques from the literature using two datasets is also shown. One of the datasets consists of small hyperspectral small scenes commonly found in the literature. The other consists of large multispectral vegetation scenes of river basins. The experimental results show that the proposed approach increases the overall classification accuracy for the selected datasets. In particular, two of the data augmentation techniques introduced, namely, dual-flip and dual-rotate, obtained the best results.
The mechanism of the hydrolysis of acylimidazoles in aqueous mineral acids. The excess acidity method for reactions that are not acid catalyzed

The mechanism of the hydrolysis of acetylimidazole in aqueous perchloric, sulfuric, and hydrochloric acid mixtures has been determined. Benzoylimidazole was also studied in the latter two acids. The method of analyzing the available data, pseudo-first-order reaction rate constants as a function of acid concentration and, in one case, temperature, is the excess acidity method, here applied to the same reaction in the three different acid media, allowing their comparison. The reaction is not acid catalyzed; the rates decrease with increasing acidity. The substrate reacts in the form that is monoprotonated on the imidazole ring; it is 100% protonated at acidities much lower than those used here. Acetylimidazole is shown to become diprotonated at high acidity , protonating on the carbonyl oxygen, but the diprotonated form is not reactive. The hydrolysis involves the reversible addition of one water molecule to the substrate to give a tetrahedral intermediate; at low acidities the decomposition of this hydrate.
Identificação de Falhas de uma Planta de Nível Piloto Baseada em Rede Neural LSTM

Data-driven fault classification in industrial context is an expanding field and widely discused in literature. Artificial Neural Networks, specially Recurrent Neural Networks, are powerful models used for data-driven fault classification since they transports information through time intants. This work evaluates a Long Short Term Memory based model previously proposed in accurately classifying faults in data from a non-simulated process. Furthermore, the hyper parameter space will be explored with the goal of finding a model with optmized results. Through the tests, a final classification accuracy of 91.49% was obtained for faults from a pilot level plant. Resumo: A classificação das falhas industriais utilizando abordagens orientadas a dados é um campo crescente e amplamente discutido na literatura. As Redes Neurais Artificiais, em especial as Redes Neurais Recorrentes se demonstraram fortes aliadas a esse tipo de abordagem, por sua capacidade de transportar informações contidas no histórico das séries temporais ao longo dos instantes de tempo. Aqui será avaliada a capacidade de um modelo Long Short Term Memory previamente proposto em classificar corretamente as falhas em dados gerados obtidos de um processo não simulado. Posteriormente, será testada uma variação dos hiperparâmetros com o objetivo de encontrar um conjunto que apresente resultados otimizados. Através dos testes foi obtido uma acurácia final de 91,49% na classificação de falhas de uma planta de ńıvel piloto.
Roles of Technology in Improving Perishable Food Supply Chains

Food supply chains are considered to be more complex systems than other types of supply chains. This complexity is due to the continuous changes taking place, particularly in ensuring the quality of food products throughout the entire supply chain, from growing, procurement of resources, production, and management of stock, to distribution to the final consumers. For that, food supply chain markets have become more highly developed in the use of modern technologies, and have begun to implement them in their logistical systems to satisfy their customers’ needs. The main objectives of this review are to identify the different technological implementations in different phases of the food supply chain processes and point out the key factors for using technologies to improve the characteristics of the perishable food supply chain. A total number of 137 articles were analyzed in this research to achieve these review objectives. Some of the various technologies found in different phases of the food supply chain were radio frequency identification (RFID), the Internet of Things (IoT), blockchain, three-dimensional printing (3DP), autonomous vehicles, and unmanned aerial vehicles (UAVs). These technologies were found in different phases of the food supply chain and improved the efficiency of supplying perishable foods. The review identified different characteristics of the perishable food supply chain. The main finding indicated that technological implementation enhances the efficiency and sustainability of the food supply chains and helps to retain perishable food characteristics.