bluuebunny/crossref_metadata_2025 huggingface dataset:
A Refined Tomographic Window for GNSS-Derived Water Vapor Tomography
Authors: Yao Yibin , Liu Chen , Xu Chaoqian , Tan Yu , Fang Mingshan
Published: September 2020

Global navigation satellite system (GNSS) tomography can effectively sense the three-dimensional structure of tropospheric water vapor (WV) using the GNSS observations. Numerous studies have utilized a tomographic window to include more epochs of observations, which significantly increases the number of valid signals. However, considering the tomography grid limits, a massive number of valid signals inevitably exhibits linear dependence. This dependence makes it impossible to improve the rank score of the tomography coefficient matrix by blindly introducing a large number of valid rays. Furthermore, excessive valid signals may lead to a high condition number in the coefficient matrix (ill-condition problem), which causes unstable results using the GNSS-WV tomography. Considering these problems, we proposed an improved tomographic approach, which applies a refined tomographic window. It differs from the general tomographic window in that the window is refined to traverse the valid signals available 15 min before and after the target epoch while retaining only the linearly independent parts (characteristic signal). Compared to the conventional method, the proposed method can filter the characteristic signal, which increases the rank score of the coefficient matrix and improves the stability of the tomography model. In this paper, we used GNSS observations from the Hong Kong Satellite Positioning Reference Station Network (SatRef) to validate the performance of the proposed method over the day-of-year (DOY) periods of 130–132, 2019 and 146–148, 2019. The numerical results showed that, by using a refined tomographic window, the proposed method obtained superior WV products in comparison with that of the conventional method.
Vegetation Carbon Sequestration Mapping in Herbaceous Wetlands by Using a MODIS EVI Time-Series Data Set: A Case in Poyang Lake Wetland, China
Authors: Dai Xue , Yang Guishan , Liu Desheng , Wan Rongrong
Published: September 2020

The carbon sequestration capacity of wetland vegetation determines carbon stocks and changes in wetlands. However, modeling vegetation carbon sequestration of herbaceous wetlands is still problematic due to complex hydroecological processes and rapidly changing biomass carbon stocks. Theoretically, a vegetation index (VI) time series can retrieve the dynamic of biomass carbon stocks and could be used to calculate the cumulative composite of biomass carbon stocks during a given interval, i.e., vegetation carbon sequestration. Hence, we explored the potential for mapping vegetation carbon sequestration in herbaceous wetlands in this study by using a combination of remotely sensed VI time series and field observation data. This method was exemplarily applied for Poyang Lake wetland in 2016 by using a 16-day Moderate Resolution Imaging Spectroradiometer (MODIS) enhanced vegetation index (EVI) time series. Results show that the vegetation carbon sequestration in this area was in the range of 193–1221 g C m−2 year−1 with a mean of 401 g C m−2 year−1 and a standard deviation of 172 g C m−2 year−1 in 2016. The approach has wider spatial applicability in wetlands than the currently used global map of vegetation production (MOD17A3) because our carbon estimation in areas depicted by ‘no data’ in the MOD17A3 product is considerable, which accounts for 91.2–91.5% of the total vegetation carbon sequestration of the wetland. Thus, we determined that VI time series data shows great potential for estimating vegetation carbon sequestration in herbaceous wetlands, especially with the continuously improving quality and frequency of satellite VI images.
GNSS/INS-Equipped Buoys for Altimetry Validation: Lessons Learnt and New Directions from the Bass Strait Validation Facility
Authors: Zhou Boye , Watson Christopher , Legresy Benoit , King Matt A. , Beardsley Jack , Deane Alistair
Published: September 2020

Global Navigation Satellite System (GNSS)-equipped buoys have a fundamental role in the validation of satellite altimetry. Requirements to validate next generation altimeter missions are demanding and call for a greater understanding of the systematic errors associated with the buoy approach. In this paper, we assess the present-day buoy precision using archived data from the Bass Strait validation facility. We explore potential improvements in buoy precision by addressing two previously ignored issues: changes to buoyancy as a function of external forcing, and biases induced by platform dynamics. Our results indicate the precision of our buoy against in situ mooring data is ~15 mm, with a ~8.5 mm systematic noise floor. Investigation into the tether tension effect on buoyancy showed strong correlation between currents, wind stress and buoy-against-mooring residuals. Our initial empirical correction achieved a reduction of 5 mm in the standard deviation of the residuals, with a 51% decrease in variance over low frequency bands. Corrections associated with platform orientation from an Inertial Navigation System (INS) unit showed centimetre-level magnitude and are expected to be higher under rougher sea states. Finally, we conclude with further possible improvements to meet validation requirements for the future Surface Water Ocean Topography (SWOT) mission.
Evaluating the Performance of a Convection-Permitting Model by Using Dual-Polarimetric Radar Parameters: Case Study of SoWMEX IOP8
Authors: You Cheng-Rong , Chung Kao-Shen , Tsai Chih-Chien
Published: September 2020

In this study, a dual-polarimetric radar observation operator is established and modified for the Taiwan area for the purpose of model verification. A severe squall line case during the Southwest Monsoon Experiment Intensive Observing Period 8 (SoWMEX IOP#8) on 14 June 2008, is selected and examined. Because the operator is adopted from the use of the midlatitude region, sensitivity tests are performed to obtain the optimal setting of the operator in the subtropical region. To accurately capture the dynamic structure of the squall lines, the ensemble-based data assimilation system, which assimilates both radial wind and reflectivity data, is used to obtain the optimal analysis field on the mesoscale for evaluating the performance of model simulation. The characteristics of two microphysics schemes are investigated, and the results obtained using the schemes are compared with the S-band dual-polarimetric radar observations. The horizontal and vertical cross-sections show that the analyses resemble the observations. Both schemes can replicate the polarimetric parameter signature such as ZDR and KDP columns. When comparing model simulation with polarimetric parameters through the drawing of contour frequency by altitude diagrams (CFADs), the results reveal that the single moment microphysics scheme performs better than the double moment scheme in this case. However, the reflectivity field in the stratiform area is more accurately captured when using the double moment scheme. Furthermore, validation with polarimetric variables (ZH, ZDR and KDP) histograms shows underestimation of the KDP field in both schemes. Overall, this study indicates the benefit of assimilating radial wind and reflectivity data for the analyses of severe precipitation systems and the necessity of assimilating polarimetric parameters for the accuracy of microphysical processes, especially complex microphysics schemes in subtropical region.
Refractive Index Sensor Based on Double Side-Polished U-Shaped Plastic Optical Fiber
Authors: Wang Shumin , Zhang Daming , Xu Yan , Sun Siwen , Sun Xiaoqiang
Published: September 2020

A U-shaped double-side polished plastic optical fiber (POF) is demonstrated as a liquid refractive index (RI) sensor. The refractive index of glycerinum solutions is identified by the intensity detection on the bending and evanescent wave loss change. Heat treatment and mechanical polishing are adopted to form the symmetrical side-polished POF probe. The processing parameters are experimentally optimized on the power transmittance. The sensitivity of 1541%/RIU (Refractive Index Unit) can be obtained with a resolution of 5.35 × 10−4 in the scope of 1.33–1.39. The favorable temperature characteristic is proved to offer stable RI sensing from 20 to 50 °C. This simple POF sensor has potentials in low-cost visible light intensity RI detection.
Coaxial Thermocouples for Heat Transfer Measurements in Long-Duration High Enthalpy Flows
Authors: Zhang Shizhong , Wang Qiu , Li Jinping , Zhang Xiaoyuan , Chen Hong
Published: September 2020

Coaxial thermocouples have the advantages of fast response and good durability. They are widely used for heat transfer measurements in transient facilities, and researchers have also considered their use for long-duration heat transfer measurements. However, the model thickness, transverse heat transfer, and changes in the physical parameters of the materials with increasing temperature influence the accuracy of heat transfer measurements. A numerical analysis of coaxial thermocouples is conducted to determine the above influences on the measurement deviation. The minimum deviation is obtained if the thermal effusivity of chromel that changes with the surface temperature is used to derive the heat flux from the surface temperature. The deviation of the heat flux is less than 5.5% when the Fourier number is smaller than 0.255 and 10% when the Fourier number is smaller than 0.520. The results provide guidance for the design of test models and coaxial thermocouples in long-duration heat transfer measurements. The numerical calculation results are verified by a laser radiation heating experiment, and heat transfer measurements using coaxial thermocouples in an arc tunnel with a test time of several seconds are performed.
A Robust Dynamic Classifier Selection Approach for Hyperspectral Images with Imprecise Label Information
Authors: Li Meizhu , Huang Shaoguang , De Bock Jasper , de Cooman Gert , Pižurica Aleksandra
Published: September 2020

Supervised hyperspectral image (HSI) classification relies on accurate label information. However, it is not always possible to collect perfectly accurate labels for training samples. This motivates the development of classifiers that are sufficiently robust to some reasonable amounts of errors in data labels. Despite the growing importance of this aspect, it has not been sufficiently studied in the literature yet. In this paper, we analyze the effect of erroneous sample labels on probability distributions of the principal components of HSIs, and provide in this way a statistical analysis of the resulting uncertainty in classifiers. Building on the theory of imprecise probabilities, we develop a novel robust dynamic classifier selection (R-DCS) model for data classification with erroneous labels. Particularly, spectral and spatial features are extracted from HSIs to construct two individual classifiers for the dynamic selection, respectively. The proposed R-DCS model is based on the robustness of the classifiers’ predictions: the extent to which a classifier can be altered without changing its prediction. We provide three possible selection strategies for the proposed model with different computational complexities and apply them on three benchmark data sets. Experimental results demonstrate that the proposed model outperforms the individual classifiers it selects from and is more robust to errors in labels compared to widely adopted approaches.
Data Quality and Reliability Assessment of Wearable EMG and IMU Sensor for Construction Activity Recognition
Authors: Bangaru Srikanth Sagar , Wang Chao , Aghazadeh Fereydoun
Published: September 2020

The workforce shortage is one of the significant problems in the construction industry. To overcome the challenges due to workforce shortage, various researchers have proposed wearable sensor-based systems in the area of construction safety and health. Although sensors provide rich and detailed information, not all sensors can be used for construction applications. This study evaluates the data quality and reliability of forearm electromyography (EMG) and inertial measurement unit (IMU) of armband sensors for construction activity classification. To achieve the proposed objective, the forearm EMG and IMU data collected from eight participants while performing construction activities such as screwing, wrenching, lifting, and carrying on two different days were used to analyze the data quality and reliability for activity recognition through seven different experiments. The results of these experiments show that the armband sensor data quality is comparable to the conventional EMG and IMU sensors with excellent relative and absolute reliability between trials for all the five activities. The activity classification results were highly reliable, with minimal change in classification accuracies for both the days. Moreover, the results conclude that the combined EMG and IMU models classify activities with higher accuracies compared to individual sensor models.
Monitoring the Growth and Yield of Fruit Vegetables in a Greenhouse Using a Three-Dimensional Scanner
Authors: Ohashi Yuta , Ishigami Yasuhiro , Goto Eiji
Published: September 2020

Monitoring the growth of fruit vegetables is essential for the automation of cultivation management, and harvest. The objective of this study is to demonstrate that the current sensor technology can monitor the growth and yield of fruit vegetables such as tomato, cucumber, and paprika. We estimated leaf area, leaf area index (LAI), and plant height using coordinates of polygon vertices from plant and canopy surface models constructed using a three-dimensional (3D) scanner. A significant correlation was observed between the measured and estimated leaf area, LAI, and plant height (R2 > 0.8, except for tomato LAI). The canopy structure of each fruit vegetable was predicted by integrating the estimated leaf area at each height of the canopy surface models. A linear relationship was observed between the measured total leaf area and the total dry weight of each fruit vegetable; thus, the dry weight of the plant can be predicted using the estimated leaf area. The fruit weights of tomato and paprika were estimated using the fruit solid model constructed by the fruit point cloud data extracted using the RGB value. A significant correlation was observed between the measured and estimated fruit weights (tomato: R2 = 0.739, paprika: R2 = 0.888). Therefore, it was possible to estimate the growth parameters (leaf area, plant height, canopy structure, and yield) of different fruit vegetables non-destructively using a 3D scanner.
Eye Gaze Based 3D Triangulation for Robotic Bionic Eyes
Authors: Fan Di , Liu Yanyang , Chen Xiaopeng , Meng Fei , Liu Xilong , Ullah Zakir , Cheng Wei , Liu Yunhui , Huang Qiang
Published: September 2020

Three-dimensional (3D) triangulation based on active binocular vision has increasing amounts of applications in computer vision and robotics. An active binocular vision system with non-fixed cameras needs to calibrate the stereo extrinsic parameters online to perform 3D triangulation. However, the accuracy of stereo extrinsic parameters and disparity have a significant impact on 3D triangulation precision. We propose a novel eye gaze based 3D triangulation method that does not use stereo extrinsic parameters directly in order to reduce the impact. Instead, we drive both cameras to gaze at a 3D spatial point P at the optical center through visual servoing. Subsequently, we can obtain the 3D coordinates of P through the intersection of the two optical axes of both cameras. We have performed experiments to compare with previous disparity based work, named the integrated two-pose calibration (ITPC) method, using our robotic bionic eyes. The experiments show that our method achieves comparable results with ITPC.
An Evaluation of Three Kinematic Methods for Gait Event Detection Compared to the Kinetic-Based ‘Gold Standard’
Authors: Zahradka Nicole , Verma Khushboo , Behboodi Ahad , Bodt Barry , Wright Henry , Lee Samuel C. K.
Published: September 2020

Video- and sensor-based gait analysis systems are rapidly emerging for use in ‘real world’ scenarios outside of typical instrumented motion analysis laboratories. Unlike laboratory systems, such systems do not use kinetic data from force plates, rather, gait events such as initial contact (IC) and terminal contact (TC) are estimated from video and sensor signals. There are, however, detection errors inherent in kinematic gait event detection methods (GEDM) and comparative study between classic laboratory and video/sensor-based systems is warranted. For this study, three kinematic methods: coordinate based treadmill algorithm (CBTA), shank angular velocity (SK), and foot velocity algorithm (FVA) were compared to ‘gold standard’ force plate methods (GS) for determining IC and TC in adults (n = 6), typically developing children (n = 5) and children with cerebral palsy (n = 6). The root mean square error (RMSE) values for CBTA, SK, and FVA were 27.22, 47.33, and 78.41 ms, respectively. On average, GED was detected earlier in CBTA and SK (CBTA: −9.54 ± 0.66 ms, SK: −33.41 ± 0.86 ms) and delayed in FVA (21.00 ± 1.96 ms). The statistical model demonstrated insensitivity to variations in group, side, and individuals. Out of three kinematic GEDMs, SK GEDM can best be used for sensor-based gait event detection.
Robust Magnetized Graphene Oxide Platform for In Situ Peptide Synthesis and FRET-Based Protease Detection
Authors: Kim Seongsoo , Lee Sang-Myung , Yoon Je Pil , Lee Namhun , Chung Jinhyo , Chung Woo-Jae , Shin Dong-Sik
Published: September 2020

Graphene oxide (GO)/peptide complexes as a promising disease biomarker analysis platform have been used to detect proteolytic activity by observing the turn-on signal of the quenched fluorescence upon the release of peptide fragments. However, the purification steps are often cumbersome during surface modification of nano-/micro-sized GO. In addition, it is still challenging to incorporate the specific peptides into GO with proper orientation using conventional immobilization methods based on pre-synthesized peptides. Here, we demonstrate a robust magnetic GO (MGO) fluorescence resonance energy transfer (FRET) platform based on in situ sequence-specific peptide synthesis of MGO. The magnetization of GO was achieved by co-precipitation of an iron precursor solution. Magnetic purification/isolation enabled efficient incorporation of amino-polyethylene glycol spacers and subsequent solid-phase peptide synthesis of MGO to ensure the oriented immobilization of the peptide, which was evaluated by mass spectrometry after photocleavage. The FRET peptide MGO responded to proteases such as trypsin, thrombin, and β-secretase in a concentration-dependent manner. Particularly, β-secretase, as an important Alzheimer’s disease marker, was assayed down to 0.125 ng/mL. Overall, the MGO platform is applicable to the detection of other proteases by using various peptide substrates, with a potential to be used in an automated synthesis system operating in a high throughput configuration.
Remote Insects Trap Monitoring System Using Deep Learning Framework and IoT
Authors: Ramalingam Balakrishnan , Mohan Rajesh Elara , Pookkuttath Sathian , Gómez Braulio Félix , Sairam Borusu Charan Satya Chandra , Wee Teng Tey , Tamilselvam Yokhesh Krishnasamy
Published: September 2020

Insect detection and control at an early stage are essential to the built environment (human-made physical spaces such as homes, hotels, camps, hospitals, parks, pavement, food industries, etc.) and agriculture fields. Currently, such insect control measures are manual, tedious, unsafe, and time-consuming labor dependent tasks. With the recent advancements in Artificial Intelligence (AI) and the Internet of things (IoT), several maintenance tasks can be automated, which significantly improves productivity and safety. This work proposes a real-time remote insect trap monitoring system and insect detection method using IoT and Deep Learning (DL) frameworks. The remote trap monitoring system framework is constructed using IoT and the Faster RCNN (Region-based Convolutional Neural Networks) Residual neural Networks 50 (ResNet50) unified object detection framework. The Faster RCNN ResNet 50 object detection framework was trained with built environment insects and farm field insect images and deployed in IoT. The proposed system was tested in real-time using four-layer IoT with built environment insects image captured through sticky trap sheets. Further, farm field insects were tested through a separate insect image database. The experimental results proved that the proposed system could automatically identify the built environment insects and farm field insects with an average of 94% accuracy.
Influence of Challenge–Hindrance Stressors on Unethical Pro-Organizational Behavior: Mediating Role of Emotions
Authors: Xu Lin , Wang Jigan
Published: September 2020

Unethical pro-organizational behavior (UPB), which threatens the sustainable development of enterprises, has become important research content in organizational management in recent years. Based on the framework of challenge–hindrance stressors, we explored the effect of stress on UPB from an emotional perspective. Multi-mediation models were constructed to reveal the relationship between stressors (challenge and hindrance stressors) and UPB, and the mediating roles of individual anxiety, attentiveness, and anger. The results of 375 questionnaires indicated that challenge stressors had no significant relationship with UPB due to the presence of the suppression effect. Challenge stressors had a positive effect on UPB through anxiety and a negative effect on UPB through attentiveness. Hindrance stressors had a positive effect on UPB through the mediation of anxiety and anger. Managers can benefit from the findings to correctly cope with employees’ emotional reactions and unethical behaviors caused by work stress, and take appropriate management measures to reduce and prevent employees’ UPB.
Addressing Social Sustainability in Urban Regeneration Processes. An Application of the Social Multi-Criteria Evaluation
Authors: Marta Bottero , Giulia Datola
Published: September 2020

The concept of sustainability is widely seen as fundamental to set up urban and territorial transformations. Sustainable development is a multidimensional and multi-perspective process that deals with the environmental, economic, and social dimensions, with the aim to find a balance among these. Despite this growing attention to sustainability the social perspective has been the less explored of these dimensions and only recently it is receiving consideration due the Sustainable Development Goals (SDGs) that aim at creating sustainable and inclusive cities and communities. In the SDGs, specific attention is focused on the improvement of the quality of life of inhabitants through specific actions dedicated to the valorization of cultural resources, to the protection of the environment, and also to promote the involvement of the local communities in setting policies and programs. The final objective is defining projects based on the social needs shared by the communities. This paper aims at exploring the social sustainability related to urban regeneration processes with particular attention to social cohesion and community engagement. Six different urban regeneration strategies, developed for the regeneration of an urban area located in Northern Italy and based on social housing interventions, have been evaluated in accordance with their social impacts on the stakeholders involved. The paper proposes a multi-methodological approach based on the combination of the stakeholder analysis with the NAIADE (Novel Approach to Imprecise Assessment and Decision Environments) methodology, a particular type of Social Multi-Criteria Evaluation. The stakeholder analysis has been applied to identify the actors to involve in the evaluation, whereas the NAIADE methodology has been implemented for the selection of the most preferable strategy. This method allowed the assessment of the different strategies through the comparison and the mediation between the technical and the social rankings, thus considering the stakeholder preferences in the final evaluation. The final result is coherent with the initial purpose and it demonstrates that the inclusion of the stakeholder is fundamental for the achievement of a consensus solution.
Consumer Valuation of Remanufactured Products: A Comparative Study of Product Categories and Business Models
Authors: Lee Seoyoon , Kwak Minjung
Published: September 2020

Understanding consumer valuation of remanufactured products is vital to the success of the remanufacturing business. However, whether and how product categories and business models influence the consumer valuation have not been investigated in detail. To test the effects of product categories and business models on the consumer valuation and acceptance of remanufactured products empirically, this study presents a survey on the relative value of remanufactured products perceived by the consumers. Six product categories (low-end laptops, high-end laptops, smartphones, gaming consoles, printers, and water purifiers) and two business models (the buying model and the rental model) were selected as the factors. Negative perception (NP), purchase intention (PI), and acceptable prices (APs) were used as measures of the perceived value. A group of 95 students from a Korean university participated in the survey. Statistical hypothesis testing shows that both the product categories and the business models cause significant differences in the relative value of remanufactured products. Especially, the results indicate that certain product categories are more advantageous for remanufacturing from a consumer-demand viewpoint. The results also show that the suitability of the rental model varies across the product categories; for certain categories, the rental model can be a better option for remanufacturing.
The Lexicographic Tolerable Robustness Concept for Uncertain Multi-Objective Optimization Problems: A Study on Water Resources Management
Authors: Boriwan Pornpimon , Ehrgott Matthias , Kuroiwa Daishi , Petrot Narin
Published: September 2020

In this study, we introduce a robust solution concept for uncertain multi-objective optimization problems called the lexicographic tolerable robust solution. This approach is advantageous for the practical implementation of problems in which the solution should satisfy priority levels in the objective function and the worst performance vector of the solution obtained by the proposed concept is close to a reference point of the considered problem, within an acceptable tolerance threshold. Important properties of the solution sets of this introduced concept as well as an algorithm for finding such solutions are presented and discussed. We provide the implementation of the proposed lexicographic tolerable robust solution to improve understanding for practitioners by relying on the data of the water resources master plan for Serbia from Simonovic, 2009. Moreover, we are also concerned with the method of updating a desirable solution for fitting with the preferences when compromising of the multiple groups of decision makers is needed.
Bike Share Equity for Underrepresented Groups: Analyzing Barriers to System Usage in Baltimore, Maryland
Authors: Hull Grasso Susan , Barnes Philip , Chavis Celeste
Published: September 2020

Bike share systems are a standard feature of the urban mobility ecosystem but they have received criticism for serving a narrow demographic band of residents and visitors while underrepresenting others. This analysis employed Chi-square and multivariate linear regression analyses to understand effect sizes associated with how various demographic groups in Baltimore, MD perceive barriers to utilizing the city’s new Baltimore Bike Share (BBS) system. The analysis revealed that people of color, Hispanics, the less-educated, females, low income earners, and the unemployed are underrepresented in system membership. Regression analysis of non-user survey data suggested that nonwhite individuals are associated with a moderate increase in perceiving BBS to be challenging when riding with children or cargo. Being female is associated with concerns about system use, the ability to ride comfortably, maintaining personal hygiene, being a victim of crime or harassment, and an overall lack of interest in biking in Baltimore. Identifying as having low income or less education was not observed to be associated with any of the barrier conditions examined in this study. These findings can be leveraged to develop programs and policies to improve participation rates within underrepresented groups and enhance system equity.
Energy-Efficiency Assessment and Improvement—Experiments and Analysis Methods
Authors: Costa Nuno , Fontes Paulo
Published: September 2020

Some (non)manufacturing industries are becoming more energy efficient, but many of them are losing cost-effective energy-savings opportunities, namely, by lack of knowledge or underestimation of good engineering and management practices as well as guidance on techniques or tools for that purpose. This study points out that Design of Experiments is a tool that cannot be ignored by managers and other technical staff, namely, by those who have the responsibility to eliminate energy waste and promote energy-efficiency improvement in industry, mainly in energy-intensive manufacturing industries. A review on Design of Experiments for physical and simulation experiments, supported on carefully selected references, is provided, since process and product improvement at the design and manufacturing stages increasingly rely on virtual tests and digital simulations. However, the expense of running experiments in complex computer models is still a relevant issue, despite advances in computer hardware and software capabilities. Here, experiments were statistically designed, and several easy-to-implement yet effective data analysis methods were employed for identifying the variables that must be measured with more accurate devices and methods to better estimate the energy efficiency or improve it in a billets reheating furnace. A simulation model of this type of furnace was used to run the experiments and the results analysis shows that variables with practical effect on the furnace’s energy efficiency are the percentage of oxygen in the combustion gases, the fuel flow in the burners, and the combustion air temperature.
Financial Knowledge, Personality Traits, and Risky Borrowing Behaviors in Iranian Households
Authors: Cude Brenda J. , Chatterjee Swarn , Tavosi Jamal
Published: September 2020

This article examines the influence of financial knowledge and personality traits on risky borrowing behaviors among Iranian respondents. A proprietary dataset was used in this study. Logistic regression results indicated that numeracy and knowledge of the time value of money were negatively associated with two of the three risky borrowing behaviors (borrowing more than $1500 USD and use of rent-to-own). Conscientiousness was negatively related to the same two borrowing behaviors. Neuroticism negatively influenced use of payday lending. The article concludes with financial education policy suggestions for Iran and directions for future research.
The Assessment of Diet Contaminated with Aflatoxin B1 in Juvenile Turbot (Scophthalmus maximus) and the Evaluation of the Efficacy of Mitigation of a Yeast Cell Wall Extract
Authors: Yang Jinzhu , Wang Tiantian , Lin Gang , Li Mingzhu , Zhu Ronghua , Yiannikouris Alexandros , Zhang Yanjiao , Mai Kangsen
Published: September 2020

This study aimed to investigate the effects of dietary AFB1 on growth performance, health, intestinal microbiota communities and AFB1 tissue residues of turbot and evaluate the mitigation efficacy of yeast cell wall extract, Mycosorb® (YCWE) toward AFB1 contaminated dietary treatments. Nine experimental diets were formulated: Diet 1 (control): AFB1 free; Diets 2–5 or Diets 6–9: 20 μg AFB1/kg diet or 500 μg AFB1/kg diet + 0%, 0.1%, 0.2%, or 0.4% YCWE, respectively). The results showed that Diet 6 significantly decreased the concentrations of TP, GLB, C3, C4, T-CHO, TG but increased the activities of AST, ALT in serum, decreased the expressions of CAT, SOD, GPx, CYP1A but increased the expressions of CYP3A, GST-ζ1, p53 in liver. Diet 6 increased the AFB1 residues in serum and muscle, altered the intestinal microbiota composition, decreased the bacterial community diversity and the abundance of some potential probiotics. However, Diet 8 and Diet 9 restored the immune response, relieved adverse effects in liver, lowered the AFB1 residues in turbot tissues, promoted intestinal microbiota diversity and lowered the abundance of potentially pathogens. In conclusion, YCWE supplementation decreased the health effects of AFB1 on turbot, restoring biomarkers closer to the mycotoxin-free control diet.
Egyetemi német nyelvfejlesztés és a német főnevek többes számának oktatása
Authors: Galac Ádám
Published: September 2020

A jelen tanulmányban az egyetemi nyelvszakos nyelvfejlesztés aktuális helyzetét, kihívásait és lehetőségeit vizsgálom a német nyelvszakok példáján. Azt igyekszem megmutatni, hogy a felsőoktatási nyelvi képzésekben mára elengedhetetlenné vált egy nyelvi alapozó modul, amely előkészíti az elsőéves hallgatókat későbbi tanulmányaikra. Ezt támasztják alá az ELTE BTK Germanisztika szakos hallgatóival végzett két empirikus vizsgálat eredményei, amelyek a tanulmányaikat megkezdő hallgatók bemeneti nyelvi szintjét, valamint a felsőbbévesek nyelvi tudatosságát és szakmai motivációit vizsgálják. Ezek bemutatása után rátérek azokra a legfontosabb szempontokra, amelyek hozzájárulhatnának az egyetemi nyelvfejlesztési modul eredményességéhez. A megváltozott bemeneti ismeretek következtében szükségessé váló átfogó grammatikai bevezetésen túl számos további lehetőség rejlik a kontrasztív nyelvészeti ismeretek tudatosításában, egyes nyelvészeti eredmények és elméletek nyelvdidaktikai felhasználásában, ill. az autentikus dokumentumokban. Emellett hangsúlyozom a hallgatók önálló munkájának, tudatos önfejlesztésének kulcsfontosságú szerepét, amelyet azonban intézményesen szükséges megalapozni, elindítani és végigkövetni. Végül a nyelvfejlesztéshez összeállítottam egy meglátásom szerint hiánypótló oktatási segédanyagot, amely a német főnevek többes számú képzésével kapcsolatos szabályokat, szabályszerűségeket, kivételeket foglalja össze egyetemi hallgatók számára – ez a tanulmány függelékében található.

Die vorliegende Studie setzt sich mit den aktuellen Herausforderungen und Möglichkeiten des Sprachausbildungsmoduls an den Universitäten auseinander, mit besonderem Augenmerk auf die deutsche Sprachausbildung im  achelorstudiengang Germanistik in Ungarn. Ich argumentiere dafür, dass ein gut strukturiertes Basismodul, das Studierende im ersten Jahrgang auf ihr späteres Studium sprachlich vorbereitet, wegen der Veränderung der sprachlichen Voraussetzungen unerlässlich geworden ist. Dies wird durch die Ergebnisse von zwei empirischen Studien untermauert, die Aufschluss über das Einstiegssprachniveau, die Sprachbewusstheit und die berufliche Motivation von Studierenden der Germanistik an der Eötvös-Loránd-Universität geben. Anschließend gehe ich auf die wichtigsten Aspekte ein, die die Effektivität der universitären Sprachausbildung fördern könnten: Neben einer gut strukturierten, flächendeckenden  grammatischen Einführung liegen zahlreiche weitere Möglichkeiten in der kontrastiven Bewusstmachung (Deutsch–Ungarisch, Deutsch–Englisch), in der didaktischen Verwendung sprachwissenschaftlicher Ergebnisse sowie in den authentischen Dokumenten. Weiterhin betone ich die Schlüsselrolle des studentischen Selbststudiums, das jedoch im institutionellen Rahmen erfolgen sollte. Als konkreten Beitrag stellte ich ein Lehrmaterial zu den Regeln, Tendenzen und Ausnahmen der Pluralbildung der deutschen Substantive zusammen – dies befindet sich im Anhang 2 der Studie.
Die Literatursatire im Kontext der deutschen Antikerezeption im 18. Jahrhundert
Authors: Kukri Márta Mária
Published: September 2020

Im 18. Jahrhundert wurde das Kulturgut der Antike einfacher zugänglich, deshalb stellte sich die Frage seiner adäquaten Rezeption. Im literarischen Feld wurde vor allem die Rezeption des antiken Mythos diskutiert, die stark von der Querelle des Anciens et des Modernes geprägt war. In der zweiten Hälfte des 18. Jahrhunderts bildeten sich einander gegenüberstehende Autorengruppen, die mit dem Erlangen von stabilen Publikationsmöglichkeiten eine feste Position in der literarischen Welt gewinnen wollten. Beliebtes Mittel dieses Kampfes und des Gedankenaustauschs war die Literatursatire, wie etwa Goethes Farce „Götter, Helden und Wieland“. In meiner Arbeit wird der Meinungsunterschied von Goethe und Wieland in Bezug auf die Antikerezeption diskutiert. Dabei orientiere ich mich vor allem an Falk Strehlows Ansatz, der den grundlegenden Unterschied darin sieht, ob der Autor den Mythos zu rekonstruieren berufen ist oder ihn bloß als Sujet verwenden kann. Als Novum der Forschung können der Vergleich der einzelnen Figuren von Euripides’, Wielands und Goethes Werken bzw. die semiotische Annäherung hervorgehoben werden. Es wird ebenfalls versucht, die unterschiedlichen Argumentationsschichten in Goethes Farce in Bezug auf die Figurengestaltung und die poetologischen Ansichten zu analysieren. Zum Schluss geht die Arbeit kurz auf die Kritik an Wielands Person ein.
Die Liebeslyrik von Endre Ady in deutscher Übersetzung
Authors: Baranovics Andor
Published: September 2020

Die vorliegende Arbeit beschäftigt sich mit der Liebeslyrik von Endre Ady und deren Übersetzung ins Deutsche. Im Zentrum der Arbeit steht die Analyse von drei Ady-Gedichten, die den Vergleich der Originaltexte mit den Übersetzungen von Heinz Kahlau und Wilhelm Droste ermöglicht. Darüber hinaus werden zwei Übersetzungen desselben Ady-Gedichts und die Ansichten des Übersetzers Wilhelm Droste, der in Budapest lebt und arbeitet, über die Literatur und die Kunst des Übersetzens vorgestellt.
Keletnémet lektorátusok a Magyar Népköztársaság felsőoktatási intézményeiben (1958–1973)
Authors: Somogyi Dániel
Published: September 2020

A dolgozat a Német Demokratikus Köztársaság és a Magyar Népköztársaság együttműködését vizsgálja az egyetemi germanisztika területén. A keletnémet állam által küldött lektorokat összetett feladatkörrel bízta meg az államapparátus: az írásban ennek szakmai és politikai vetületeit, valamint diplomáciai kontextusát elemzem. Utóbbit illetően elengedhetetlen az 1956-os forradalom hatásainak, illetve a német mint idegen nyelvoktatás magyarországi helyzete változásainak bemutatása, amely az NDK, illetve kisebb mértékben az NSZK számára biztosított befolyásszerzési lehetőséget.

Der vorliegende Beitrag setzt sich zum Ziel, die Zusammenarbeit auf dem Gebiet der universitären Germanistik zu analysieren. Die Lektoren aus der DDR wurden mit einem komplizierten Aufgabenbereich beauftragt. Im Folgenden widme ich diesen sowohl fachlichen als auch politischen Aspekten sowie der diplomatischen Umgebung besondere Aufmerksamkeit. Diesbezüglich kann man auf die Schilderung der Wirkungen des Volksaufstandes 1956 bzw. der Veränderungen im ungarischen DaF-Unterricht nicht verzichten. Dies bot die Möglichkeit der Einflussnahme – größtenteils der DDR, weniger der BRD.
Umstände der Vermittlung der Doppelperfektformen im Gymnasialunterricht
Authors: Mizser Viktória
Published: September 2020

Der vorliegende Beitrag beschäftigt sich mit den doppelten Perfektbildungen aus sprachdidaktischer Perspektive. Die Untersuchung setzt sich zum Ziel, diese Konstruktionen für den Fremdsprachenunterricht zu didaktisieren. Das selbst erstellte Unterrichtsmaterial, anhand dessen die Doppelperfektformen Gymnasiasten beigebracht wurden, wird detailliert vorgestellt. Die gehaltenen Unterrichtsstunden werden beschrieben und die Schülerprodukte analysiert. Zum Schluss wird erörtert, inwiefern das Lehren von Doppelperfekt und Doppelplusquamperfekt erfolgreich sein konnte.
Towards the Whimsical, Weird, and Edgy: An Interview with Anna Sandy-Elrod, Editor of New South
Authors: Sandy-Elrod Anna , Augello Chuck
Published: September 2020

We all know that you can't judge a book by its cover, yet the cover of the current edition of New South offers readers a strong hint toward the inventive, beautiful, and sometimes strange work found within the journal. Previously known as The GSU Review, New South has been publishing fiction, poetry, non-fiction, and art since 1975. Works first appearing in New South have been anthologized in Best American Poetry, New Stories from the South, Best Small Fictions, New Poetry from the Midwest, and noted in Best American Short Stories and Best of the Net. Anna Sandy-Elrod, Editor-in-Chief, shares her thoughts with The Review Review.
Strong Start for New Online Journal: Review of Scribble, Fall 2018
Authors: Jacobs-Beck Kim
Published: September 2020

Scribble, an online journal devoted to short fiction, began in September 2018, with a focus on new and emerging writers. With just three existing issues, Scribble is an ideal place to send work if you are beginning to publish your work. A refreshingly simple, attractive, and easy-to-navigate website and straightforward submission instructions makes Scribble an inviting journal for new writers. Editor-in-Chief Jade McGowan, a short fiction writer herself, requests "literary and all fiction genres with a literary approach." In keeping with the preference for short and flash fiction, submissions are limited to a maximum of 2000 words. Scribble publishes 3-5 pieces per issue every two months. Submissions are restricted to emerging writers, defined here as those who may have several journal publications but who not yet have a book published; and debut writers, who have never published their work.
The Seven Habits of Successful Writers
Authors: Greffenius Leslie
Published: September 2020

One of the thrilling but daunting tasks of becoming a better writer is that you have to design your own curriculum. Sure, you can participate in helpful writing workshops taught by admired authors or read various experts' books on craft, but you still have to choose for yourself which courses to take and what books to read. Even if you attend an MFA program, you have to decide what to write and how, whether or not to outline, how to undertake revisions, when and where to submit your work and so on. In many ways, writers are their own teachers, responsible for their own flounderings and successes and ultimately answerable only to themselves. Generally speaking, no one even cares what you do, which can be both a bad and a very good thing. Still, in any career you embark upon, including writing, there are certain cultivatable habits that can make your job easier. And although writers have different ways of allocating their writing time and different methods of operating (some create meticulous outlines before beginning, others vomit out first drafts, etc.) there exists among writers something of a consensus on the habits that fuel success.
Fearless Journal Delivers Another Knockout: Review of Redivider, Fall 2018
Authors: Parzyk Louisa
Published: September 2020

Volume 15.2 of Redivider packs some serious heat with free-verse poetry, fiction, non-fiction, and graphic narratives addressing topics like death, war, racism, and more in its 141 pages. More often than not, the subject matter has a dark bent that gives way to grave themes.
Advice To My Pre-Published Self
Authors: Bernier Nichole
Published: September 2020

Recently at the pediatrician’s office I fell into conversation with a man in the waiting room, the father of a 7-month-old with some undiagnosed problem. We talked as parents do in these situations when you cut to the chase. About the toughness required of parents, developed over time for that limbo of uncertainty and worry. Somewhat sheepishly he told me about a video he’d seen online that had stuck with him. In it, mothers were asked what advice they would offer their younger, pre-parenthood selves. Which got me thinking about the long gestation writers go through for their first book. Not because creating a novel is the same creating a baby, because it isn’t, but it’s often used as a metaphor. What advice would published authors offer their pre-published selves?
“A Good Editor is Such a Fantastic Learning Experience”: A Chat with Memoirist Jean Harper
Authors: Harper Jean , Perkins Tanya
Published: September 2020

Jean Harper is the author of, most recently, Still Life with Horses, a memoir (Howling Bird Press, 2017). Her other writings have appeared in The Iowa Review, North American Review, Florida Review, and elsewhere. She is a recipient of a National Endowment of the Arts Fellowship in Prose, and has been in residence at Yaddo, MacDowell, and the Virginia Center for the Creative Arts. She teaches writing at Indiana University East. More at www.jeanharper.org.
"Our Sole Ambition is to Publish the Best Writing Possible": A Chat With Michael Ray, Editor of Zoetrope
Authors: Ray Michael , Gerald Scottie , Tuch Becky
Published: September 2020

It's hard not to be awed by Zoetrope. In the world of small press publishing, Zoetrope is pretty much The Godfather of Literary Magazines. Zoetrope appears quarterly and offers up a wholly new look—and sometimes texture—with every issue. Guest designers have included Tom Waits, P.J. Harvey, Jeff Koons, and Mikhail Baryshnikov, to name just a few. Zoetrope has published the likes of Woody Allen, Kurt Vonnegut and Salman Rushdie, as well as filmmakers like Gus Van Sant and Miranda July. Then too there is the Classic Reprint feature: in every issue, a short story that inspired a movie is published. Such stories have included Alice Munro's "The Bear Came Over the Mountain," which inspired Sarah Polley's film Away from Her, and a screenplay by Wes Anderson that inspired the short film Hotel Chevalier. Oh, and one other thing: the magazine was founded by Francis Ford Coppola. Needless to say, it was a thrill to speak with Michael Ray, Editor of Zoetrope. Ray has written for magazines and film, and became editor of Zoetrope in 2001.
"We Prefer Pieces with a Stronger Energy": A Chat With JoBeth McDaniel, Editor of The Rush
Authors: McDaniel JoBeth , Moretz Laura
Published: September 2020

The Rush attracted submissions from all over the world for its first issue and paid each writer. Based in Los Angeles, the title and aesthetic are based on the idea of the Gold Rush and the fast pace of life in L.A. JoBeth McDaniel, a member of the magazine’s editorial team, took The Review Review’s questions.
"We Just Want to Encourage and Support More and More Poets Every Year": A Chat With Tim Green, Editor of Rattle
Authors: Green Tim , Post Connie
Published: September 2020

All literary magazines have their own path, their own genesis. Each strives to find its place and the way to reach many readers. Rattle magazine has achieved great success in the literary world in part because it publishes poems that cause “a rattle in the heart.” This interview will take you through this journal’s beginnings and more!
"Making Every Word Count": A Chat With David Galef, Author of Brevity: A Flash Fiction Handbook
Authors: Galef David , Augello Chuck
Published: September 2020

The first draft of this Introduction had reached 300 words when I remembered I was writing about a book titled Brevity, proof enough that shorter forms can be just as challenging as longer works. An entertaining mix of instruction, exercises, and fiction from a diverse slate of writers, Brevity: A Flash Fiction Handbook is a much-needed guide to writing flash fiction. David Galef, who directs the Creative Writing Program at Montclair State University, has written an insightful and useful new book for teachers and writers of flash. Galef shared his thoughts in a recent interview.