Miracle-dz/UniFAR-FTUs huggingface dataset:
Misinformation: Strategic Sharing, Homophily, and Endogenous Echo Chambers

We present a model of online content sharing where agents sequentially observe an article and must decide whether to share it with others. The article may contain misinformation, but at a cost, agents can fact-check it to determine whether its content is entirely accurate. While agents derive value from future shares, they simultaneously fear getting caught sharing misinformation. With little homophily in the “sharing network”, misinformation is often quickly identified and brought to an end. However, when homophily is strong, so that agents anticipate that only those with similar beliefs will view the article, misinformation spreads more rapidly because of echo chambers. We show that a social media platform that wishes to maximize content engagement will propagate extreme articles amongst the most extremist users, while not showing these articles to ideologically opposed users. This creates an endogenous echo chamber—filter bubble—that makes misinformation spread virally. We use this framework to understand how regulation can encourage more fact-checking by online users and mitigate the consequences of filter bubbles.
A Multisource Dense Adaptation Adversarial Network for Fault Diagnosis of Machinery

Deep learning theory has made great progress in the field of intelligent fault diagnosis, and the development of domain adaptation has greatly promoted fault diagnosis under polytropic working conditions (PWC). Extensive studies have been conducted to solve the problem of fault diagnosis under PWC. However, the existing fault diagnosis methods based on domain adaptation have the following shortcomings. First, multisource information fusion is rarely considered. Second, the utilization of inherent labels is also insufficient in classification problems. To deal with the above problem, a novel multisource dense adaptation adversarial network is proposed, which leverages multisensor vibration information and classification label information. Specifically, the frequency spectrum of multisensor data is first employed to make full use of fault information. Afterwards, the dense convolution and fusion convolution blocks are used for deep feature extraction and fusion. Finally, a joint loss function is reconstructed under the framework of unsupervised learning, which considers the distribution differences of the features and the label information simultaneously. The experimental results from various working conditions, including still distant working conditions, all demonstrate that the proposed method can achieve state-of-the-art performances, which has shown great promise as an intelligent fault diagnosis method.
A Handbook of Theories on Designing Alignment between People and the Office Environment

Powered by TCPDF (www.tcpdf.org) This material is protected by copyright and other intellectual property rights, and duplication or sale of all or part of any of the repository collections is not permitted, except that material may be duplicated by you for your research use or educational purposes in electronic or print form. You must obtain permission for any other use. Electronic or print copies may not be offered, whether for sale or otherwise to anyone who is not an authorised user. Appel-Meulenbroek, Rianne; Danivska, Vitalija
Photosynthetic Pigments Profiled in Capsicum Lutescens Mutants

Lutescens, or lutescent, plant mutants produce leaves that are abnormally light yellow-green compared with normal plants, and are observed in multiple species of Capsicum as well as other genera such as Zea, Oryza, and Oenothera. Previous investigations into the lutescent phenotype in Capsicum have focused on genetic and transcriptomic analyses, and comparatively little is known about the phytochemical constituents of the lutescent leaf phenotype. Previous research in similar lutescent mutants in Capsicum and Oryza species has attributed their pale yellow-green leaf color and poor vigor to deficient chloroplast development. A total of 25 accessions of Capsicum lutescens mutants were phenotyped and analyzed based on a multivariate approach, using ‘Jupiter’ bell pepper (Capsicum annuum) with normal green leaves as a contextual benchmark. Photosynthetic pigments from mutant leaves were extracted and analyzed using high-performance liquid chromatography (HPLC); reflectance of the leaf material was measured with a chromameter using the L*a*b* color space. The chlorophyll a (Chl a)/b (Chl b) ratio was greater in leaves of lutescens mutants than in ‘Jupiter’. Multivariate statistical analyses revealed all lutescent mutant accessions could be distinguished from the ‘Jupiter’ contextual benchmark by variables indicating poor chloroplast development and increased photooxidative stress in lutescent mutant accessions. The lutescent leaf phenotype was not found to be caused by elevated xanthophyll or decreased chlorophyll concentrations. Furthermore, multivariate analysis revealed the lutescent mutant phenotype to be variable, with a wide range of phenotypes clustered into four major groups.
Nanocomposite Materials Based on Electrochemically Synthesized Graphene Polymers: Molecular Architecture Strategies for Sensor Applications

The use of graphene and its derivatives in the development of electrochemical sensors has been growing in recent decades. Part of this success is due to the excellent characteristics of such materials, such as good electrical and mechanical properties and a large specific surface area. The formation of composites and nanocomposites with these two materials leads to better sensing performance compared to pure graphene and conductive polymers. The increased large specific surface area of the nanocomposites and the synergistic effect between graphene and conducting polymers is responsible for this interesting result. The most widely used methodologies for the synthesis of these materials are still based on chemical routes. However, electrochemical routes have emerged and are gaining space, affording advantages such as low cost and the promising possibility of modulation of the structural characteristics of composites. As a result, application in sensor devices can lead to increased sensitivity and decreased analysis cost. Thus, this review presents the main aspects for the construction of nanomaterials based on graphene oxide and conducting polymers, as well as the recent efforts made to apply this methodology in the development of sensors and biosensors.
Autonomous Charging of Electric Vehicles in Industrial Environment

Modern industrial manufacturing involves several manually and automated driven vehicles - not only for logistics and production purposes, but also for services, maintenance, resources supply and cleaning. These different types of vehicles are increasingly driven by electric powertrains that operate in the production halls, warehouses and other involved areas. Today, electric charging of these mobile devices is accomplished mainly manually and by use of a number of different not standardized charging interfaces, which leads to increased time and cost efforts. The paper evaluates different charging technologies for the use in industrial environments and introduces a new approach for automated, robot-controlled charging of electric vehicles, which is based on a standardized charging interface. The technology has been developed to fully automated charge different types of cars and other vehicles and consists of a vision system to identify the vehicle and the charging connector position in combination with a fully-controlled robotic system that plugs-in and -off the charging connector. In this way, the system is universally applicable for different types of autonomously and manually driven vehicles in a professional context, e.g. in production, logistics and warehouses.
Design and Simulation of a Vision-Based Automatic Trout Fish-Processing Robot

Today, industrial automation is being applied in a wide range of fields. The initial modeling of robots and mechanical systems together with simulation results in optimal systems. In this study, the designed system is simulated to obtain the required velocities, accelerations and torques of the actuating arms in a vision-based automatic system. Due to the slippery skin of fish and the low friction coefficient, it is not easy to design an optimal tool to handle fish. Since the fish-processing operation is undertaken step by step and provides fish stability, it is essential that the gripper enables different processing operations along the system. The proposed system performs belly-cutting, beheading, gutting, and cleaning stages for different fish sizes, based on the extracted dimensions of the vision system. In the head-cutting section, the average speed of the actuator jack was considered as 500 mm s−1. Under these conditions, the maximum required force to provide this speed was 332.45 N. In the belly-cutting subsystem, the required torque for the stepper motor resulted in 1.79–2.15 N m. Finally, the maximum required torque for the gutting stepper motor was calculated as 0.69 N m in the tested processing capacities.
Consumer perception vs sensory assessment of the quality of clothes of selected brands available on the Polish market

PurposeThe aim of the study reported in this article was to establish whether the quality of clothes of a given brand is perceived and assessed by consumers at the same level. An additional purpose was to identify the features that characterize the quality of popular, among Polish young female consumers, clothing brands and to classify them according to their quality level (perceived and assessed). Design/methodology/approachThe article presents two approaches to consumer assessment of the quality of clothes: the survey method, in which the product quality was determined by 320 Polish female young respondents (19–25) based on their own previous experiences and impressions related to a particular clothing brand, and a direct assessment of shirts of selected brands using a sensory quality assessment method, a five-point hedonic scale with the verbal anchor (115 evaluators). FindingsThe research has revealed a significant difference between the perception of selected quality features of brands and the consumer assessment of the products. The perception maps developed based on the PROFIT analysis (PROperty FITting) as well as on cluster analysis provided interesting information about the situation of selected brands and their features in comparison with others and allowed to identify strong and weak features characterizing a given category.Research limitations/implicationsThis study has several limitations. First and foremost, the research results cannot be generalized to all consumers because they encompass the results from one national context and one population of respondents (young females). It should also be noted that the conducted research comprises only the most popular clothing brands available on the Polish market, in particular, the fast fashion segment brands. Furthermore, it would be advisable to carry out a sensory assessment of the quality of other clothing items offered under the brand names investigated.Practical implicationsThis research could be a valuable source of information for clothing company managers, thanks to which they could better manage their brand and its position on the market. When undertaking marketing activities consisting of building positive perceptions about the product, it is important to make sure that the product offers an attractive sensory experience. When real quality deviates from consumer perceptions about the quality, managers should take corrective actions to restore and even improve the brand image in the eyes of the consumer, as well as to ensure the brand and the products offered under it a stable position on the market.Originality/valueBy comparing two approaches to consumer quality assessment, discrepancies between declared and real (sensory) quality of clothes have been identified and the distinctive features that differentiate selected brands regarding their quality level have been indicated.
La pandemia Covid-19, la crisis financiera y la dinámica (Overshooting) del tipo de cambio

Nuestro objetivo es analizar la dinámica del tipo de cambio ante las políticas expansivas adoptadas por varios países para confrontar choques exógenos durante el periodo 2000:01-2020:03. Nuestros resultados, fundamentados en un modelo ARDL y funciones de impulso-respuesta, confirman la presencia de overshooting en Corea, México, Reino Unido y Estados Unidos. En Alemania, Japón y Brasil no encontramos evidencia de overshooting, probablemente debido al carácter semifijo del euro, la reprimarización de la economía brasileña y el estancamiento con deflación de Japón. Nuestra contribución original y conclusión más importante consiste en que las políticas expansivas para paliar la crisis financiera de 2007/08 y la inducida por el Covid-19 afectan la dinámica del tipo de cambio, lo cual implica efectos significativos en: la deuda externa, la hoja de balance de los sectores institucionales, la balanza de pagos y el crecimiento económico. Es recomendable que los gobiernos adopten medidas para contrapesar estos desequilibrios. Las limitaciones de nuestro estudio estriban en que, por ausencia de suficientes datos, no estimamos la magnitud del impacto del overshooting inducido por la pandemia en estas últimas variables.
Users' Continuance Intention to Use a Mobile Application: Adapting Store Personality as Application Personality

This study examines factors that influence users’ continuance intention to use a mobile application. There exist few empirical researches focused solely on examining factors influencing users’ continuance intention of using mobile applications. An empirical analysis is conducted with data collected from 431 smartphone users in China. Two Application Personality dimensions i.e., Enthusiasm and Unpleasantness and one User Perception dimension i.e., Aesthetics found to have no significant impact on Application Continuance Intention; while Genuineness and Sophistication from Application Personality dimensions and Ease of Use and Perceived Control from User Perception dimensions have a positive significant influence. This study provides an insight to application developers on how to improve the quality and usability of mobile applications and enhance continues use.
A classification-based fuzzy-rules proxy model to assist in the full model selection problem in high volume datasets

ABSTRACT Improvement of accuracy in classifiers is a crucial topic in the machine learning field. The problem has been addressed, making new algorithms and selecting the fittest classifier for a given dataset. The latter approach combined with feature selection and pre-processing form up a new paradigm known as Full Model Selection. This paradigm is like a black box whose input is a dataset, and as an output, a precise classification model is obtained. Despite that, full model selection is not the first alternative with the larger datasets of nowadays. We propose the use of MapReduce to deal with huge datasets, a bio-inspired optimisation algorithm and the use of a novel algorithm based on fuzzy classification rules as a proxy model to guide the optimisation process. To the best of our knowledge, this work is the first to propose a classification algorithm based on fuzzy rules as a proxy model. Obtained results showed an accuracy improvement and a considerable reduction of the computing time in datasets of a wide range of sizes.
Sustainability Reporting and Tax Aggressiveness: Evidence from a Public Company in Indonesia

This study aims to describe tax avoidance or tax aggressiveness committed by a public company in Indonesia. To maintain company sustainability, taxation strategy must always be supported by a non-financial system. In Indonesia, sustainability report disclosure is voluntary, but the Indonesian government handles the issue by requiring the inclusion of social and environmental activities in the report as taxable operational costs. The research sample of this study comprises public companies listed on the Indonesia Stock Exchange, which have submitted sustainability reports separately. A total of 68 companies were involved, from which 132 datasets were obtained for further analysis via regression test. This research introduces a new way to measure tax aggressiveness (fiscal effective tax rate) to supplement the results generated by the existing measure (GAAP effective tax rate). The development of research shows that sustainability reporting has a significant effect on tax aggressiveness committed by public companies in Indonesia.
Yaşam Boyu Toplumsal Cinsiyet Rollerinin Gelişimi

Gunumuzde hemen hemen her cocuk, cinsiyet rollerinin sosyal olarak insa edildigi bir topluma dogmakta ve bu roller bazinda ayristirilmis bir dunyada buyumektedir. Bebeklik ve cocukluk donemi boyunca sosyallestirme surecinde rol oynayan aile, arkadas, medya gibi faktorlerin etkisiyle cocuklar, toplum tarafindan belirlenen ve uyum gostermeleri beklenen cinsiyet rollerini ogrenmektedir. Bu dogrultuda cinsiyet farkliliklarina bakildiginda, kiz cocuklari daha baskici yaklasimlarla karsilasmakta ve onlarin, oglan cocuklarina gore daha uysal, boyun egen, uyumlu, duygularini gosteren, iliskilere onem veren bir bicimde davranmalari istenmektedir. Ote yandan oglan cocuklari ise baskin, guclu, bagimsiz ve duygu kontrolune sahip olarak yetistirilmekte ve her kosulda bu dogrultuda davranmalari beklenmektedir. Bebeklikten ergenlige bu ogretilerle sosyallestirilen cocuklar, kendi ebeveynlerinin sergiledigi cinsiyet rollerinden de guclu bir sekilde etkilenerek, toplumsal cinsiyet rollerini icsellestirmektedir. Icsellestirilmis bu cinsiyet rollerinin etkisi yasam boyu surmektedir. Cinsiyet kalipyargilarinin hem kadinlar hem de erkekler uzerinde kisa ve uzun vadede baski ve strese neden oldugu bilinmekte, toplumun cinsiyet bazli beklentilerine uyum gosterme ihtiyaci bireylerin psikolojik sagligini olumsuz yonde etkilemektedir. Son yillarda cinsiyet esitligi konusunda toplumsal farkindalik artsa da halen bircok ulkede pek cok alanda cinsiyet esitsizliginin surdugu bilinmektedir. Sonuc olarak, ilgili alan yazinda tutarli bir sekilde belirtildigi gibi, toplumsal cinsiyet psikolojisi her iki cinsiyeti de yasamlarinin her doneminde etkilemekte ve bu da cinsiyet esitligine yonelik politikalarin onemini acikca ortaya koymaktadir.
Dynamic modeling, simulation, and parameter study of electric quadrotor system of Quad-Plane UAV in wind disturbance environment

Quad-Plane UAV(quadrotor fixed-wing hybrid vertical take-off and landing Unmanned Aerial Vehicle) is vulnerable to wind disturbance in quadrotor mode, and the performance of the electric quadrotor system directly affects its wind disturbance rejection performance. To study and optimize the wind disturbance rejection performance of the electric quadrotor system of Quad-Plane precisely and efficiently, a dynamic electric quadrotor simulation system integrating high-precision submodels of electric quadrotor system components is required. However, there are few papers on this kind of simulation system. This paper proposed a simulation system with both high computational efficiency and precision, and it can be used in optimization and flight simulation of Quad-Plane. The simulation system includes submodels of rotor, brushless direct current (BLDC) motor, electronic speed controller (ESC), and Li-ion Polymer battery. The surrogate-based rotor model is established to calculate the aerodynamic performance of the rotor in oblique flow. The BLDC motor performance calculation model considering inductance is presented and the power loss of the ESC is considered. The discharge characteristics of the battery are modeled considering the rate capacity effect. All submodels are validated and the simulation results show good agreements with test data. A flight test of Quad-Plane in quadrotor mode is conducted to validate the integrated dynamic simulation system. The results show that the simulation system has the advantages of high computational efficiency and precision. Based on the simulation system, the influence of the electric quadrotor system parameters on the performance of the electric quadrotor system, and furthermore on the wind disturbance rejection performance of the Quad-Plane are found, the conclusions are helpful to the selection and optimization of the electric quadrotor system components.
Economic policy uncertainty spillovers in Europe before and after the Eurozone crisis

This paper focuses on economic policy uncertainty spillovers across Europe, before and after the outburst of the Eurozone crisis, using data for seven Eurozone countries for the period 2003–2019. At first, we analyze the spillovers of uncertainty in Europe via the estimation of the Diebold‐Yilmaz spillover index. The results indicate that uncertainty connectedness was 50.5% before the crisis, while it dropped to 30.6% afterwards indicating a sharp drop in uncertainty spillovers across the seven Eurozone countries. We also find that the importance of domestic causes in national uncertainty has increased during the crisis at the expense of imported factors. Dynamic net spillovers reveal that core Eurozone countries are uncertainty exporters before the crisis, while periphery countries transmit uncertainty to other countries during the crisis. An examination of the country which suffered the most during the crisis, using impulse response analysis, reveals that the Greek macroeconomic indicators (stock market, GDP, unemployment, and the Economic Sentiment Index) were affected more by domestic, rather than European uncertainty. The highest responses are indicated during the crisis. Overall, there is positive interdependence between Greek and European uncertainty, which diminishes during the crisis.
Validation of a Football Competence Observation System (FOCOS), Linked to Procedural Tactical Knowledge

The use of instruments for the evaluation of a player’s procedural tactical knowledge (PTK) in sociomotor sports, such as football, is a line of research of growing interest since it allows a pertinent description of the player’s football competence. The aim of this study is to configure and validate an ad-hoc observational tool that allows evaluating the player’s PTK, understood as football competence, from the observation, coding and recording of the roles, the actions of the acquired subroles and the operational and specific principles of football in the attack and defense phases. Based on the Delphi method, a field format coding instrument was designed and validated where each criterion is a system of categories, exhaustive and mutually exclusive. The results showed excellent content validity (9.02 out of 10), and high values of intra-observer stability (k = 0.747) and inter-observer agreement (k = 0.665). Generalizability analysis showed an excellent reliability (G = 0.99). Additionally, the construct validity of the tool was calculated through a small-sided game Gk + 4v4 + Gk, using two independent samples: semi-professional and amateur players. The results reflected significant differences (α < 0.05) between both samples in the variables total score, offensive score and defensive score. Therefore, this study provides a valid and reliable instrument that allows data collection in a rigorous and pertinent way, as well as their analysis and evaluation in attack and defense according to the roles of the players and based on the motor behaviors that they perform using the subroles that they acquired, associated with the technical dimension, along with the principles that they develop in parallel, in support of the tactical dimension.