Miracle-dz/UniFAR-FTUs huggingface dataset:
Employee age moderates within-person associations of daily negative work events with emotion regulation, attention, and well-being

ABSTRACT Does advanced age give employees an advantage in face of negative work experiences through their higher emotion-regulation competence? Across days, the occurrence of negative work events is associated with fluctuations in attention, motivation, and well-being. This study examined whether these within-person associations are reduced at advanced employee age, indicating higher resilience. The study further investigated the role of emotion-regulation goal activation and strategy use in these associations. Across two work weeks, 123 employees aged 22 to 63 years provided 1,092 daily reports on affective work events, emotion regulation, attentional focus, persistence, and end-of-day affect. On days with negative-events, participants reported higher activation of emotion-regulation goals, lower attentional focus, and higher negative affect at the end of the workday. Effects were intensified on days with highly negative events. Yet, within-person associations of high-intensity events with emotion-regulation goals, attention, and end-of-day negative affect were reduced at higher age. Further analyses that accounted for age differences in emotion-regulation goals suggested that these play a role in age-related reductions in the event-related disturbance of attentional focus and well-being. There was no evidence of age-differential strategy use on eventful days. Findings are in line with proposed mechanisms underlying older employees’ resilience to daily stress.
Heterotrophic nitrifying bacteria in wastewater biological nitrogen removal systems: A review

Abstract With the ability to use organic compounds, to rapidly proliferate, and to achieve simultaneous nitrification and denitrification, heterotrophic nitrifying bacteria (HNB) have remarkable potential in wastewater biological nitrogen removal (BNR) engineering fields. This review provides a comprehensive and systematic overview of the current knowledge of HNB in wastewater BNR systems. First, it briefly summarizes the general nitrogen transformation pathway and the physiological-biochemical features of HNB. Subsequently, it highlights the phylogenetic diversity of HNB isolates from wastewater BNR systems and their bioaugmentation applications in wastewater BNR systems. Recent developments in the detection of HNB gene abundance and heterotrophic nitrifying activity in wastewater BNR systems is also discussed extensively. This will improve our fundamental understanding of the contribution of HNB to ammonia oxidization in wastewater BNR systems in the presence of various autotrophic ammonia-oxidizing microorganisms, which is important for the control, improvement, and optimization of wastewater BNR systems. Graphical abstract
The Ecology of the Zebra Finch Makes It a Great Laboratory Model but an Outlier amongst Passerine Birds

Zebra Finches have become the most widely researched bird species outside of those used in agricultural production. Their adoption as the avian model of choice is largely down to a number of characteristics that make them easy to obtain and use in captivity. The main point of our paper is that the very characteristics that make the Zebra Finch a highly amenable laboratory model species mean that it is by definition different from many other passerine birds, and therefore not a good general model for many research areas. The Zebra Finch is likely to be particularly resilient to the effects of stress early in life, and is likely to show great flexibility in dealing with a wide variety of conditions later in life. Whilst it is tempting for researchers to turn to species such as the Zebra Finch, that can be the focus of manipulative work in the laboratory, we caution that the findings of such studies may confound our understanding of general avian biology. The Zebra Finch will remain an excellent species for laboratory work, and our paper should help to direct and interpret future work in the laboratory and the field.
Modulated Mathematical Formulation of MSE for Assessment of a Positioning System in Live-status

In wireless sensor network (WSN), It is a substantial affair to obtain a convenient assessment metric for evaluating created positioning systems. Mean square error (MSE) is one of very paramount assessment metrics utilized for such problem. The conventional mathematical formula of MSE such as the built in MSE function in matlab is utilized only when the real and measured values of the position are available, which means utilizing the MSE is potential only after building the system not while building it. In this paper, for positioning purpose, we offer a mathematical derivation of an MSE formulation based on least square (LS) approach for three-dimensional positioning system without utilizing the real and measured position. The created MSE uses only the measured distance between anchor nodes and a mobile station, that needs its position to be calculated. The formed MSE has the ability to assess a positioning system online based only on the estimated distances, and then the user can modulate his system until obtaining a system ambidextrous to match the requested positioning accuracy. The derived MSE has accuracy 100 % equals to the conventional mathematical formulation such as the built in matlab MSE function.
Intergenerational Mobility of Immigrants in the United States over Two Centuries

Using millions of father-son pairs spanning more than 100 years of US history, we find that children of immigrants from nearly every sending country have higher rates of upward mobility than children of the US-born. Immigrants’ advantage is similar historically and today despite dramatic shifts in sending countries and US immigration policy. Immigrants achieve this advantage in part by choosing to settle in locations that offer better prospects for their children. (JEL J15, J18, J62, K37, N31, N32)
Una exploración empírica de las heterogeneidades geográficas en la informalidad de los mercados laborales y efectos del salario mínimo

Dual labor markets, defined by the existence or not of a formal labor contract, are a widespread feature in developing countries. Part of this duality results from marked asymmetries between Lucas Ferrero y Matías Hisgen “Visión de Futuro” Año 18, Volumen No 25 No 1, Enero – Junio 2021 – Pág 155-193 URL de la Revista: http://visiondefuturo.fce.unam.edu.ar/index.php/visiondefuturo/index URL del Documento: https://visiondefuturo.fce.unam.edu.ar/index.php/visiondefuturo/issue/view/19 ISSN 1668 – 8708 – Versión en Línea E-mail: revistacientifica@fce.unam.edu.ar 156 relevant groups and categories, given one-size-fits-all regulation. This article proposes an exploration of the relationship between informality and the minimum wage as a potential source of variation for the identification heterogeneous effects between regions in Argentina. The results obtained support the existence of heterogeneities in policy effects between the central and peripheral regions. The distribution of wages and the level of compliance with the associated minimum wage regulations are the main variables of interest; both exhibit differential effects across regions, stronger northern agglomerations. These are robust to various specifications and controls associated with interregional differences (educational levels, size of companies, sectoral differences, among others). Results have important implications given persistent regional backwardness, and heterogeneities in terms of the workings of both markets and related policies.
A conceptual framework for evaluating public housing for resilience to rapid population growth

The concept of resilience is increasingly being used in discourses on cities. However, there is paucity of` studies on the evaluation of public housing for resilience to urban population growth, especially in a developing country like Nigeria. This paper explored the concept of resilience on housing, and proposed a conceptual framework for the evaluation of public housing towards achieving resilience to the impacts of rapid population growth in cities. The methodology adopted includemapping the multidisciplinary data sources; reviewing the literature and categorizing the selected data; identifying and naming the concepts; deconstructing and categorizing the concepts and systematicintegration of the concepts to form the framework. The basic concepts identified in the literature for studying housing for city resilience in the face of rapid population growth were the vulnerability, adaptability and systems thinking theories. Based on these construct of theories, the study developed the conceptual framework around four key components. These components were (i) the impacts of rapid population growth on the social, economic and environmental fabrics of the city, (ii) the strategies or interventions that the actors can adoptthrough design and development characteristics, and building adaptive capacities towards the impacts, (iii)the effect of this strategies and interventions on the design and development of public housing and (iv) the systemic approach towards optimising the capacity of public housing schemes to absorb the adverse impacts of rapid population growth. This study contends that theoretical approach is important in understanding the development of housing that would promote city resilience in the face of growing negative impacts of rapid urbanisation in developing countries. It suggests the adoption of the proposed conceptual framework as guidelines to architects and other housing development professionals, as an evaluation parameter for resilience research and solving housing delivery problems in cities of developing countries.
Impact of Corporate Citizenship Activities on the Financial Performance of the Nepalese Life Insurance Companies

Corporate Citizen Activities (CCA) is essential for any organiztion to attract and retain customers, and to beat the competition. CCA are the indirect and intangible assets of organizations and their response is a key indicator to achieve organizational goals. This paper attempts to examine the impact of corporate citizenship activities on the financial performance of Nepalese insurance companies. Descriptive and causalcomparative research designs are used to estimate the relationship of financial performance, the ROA and the NI (dependent variables) with independent variables (economic responsibilities, legal responsibilities, ethical responsibilities, and discretionary responsibilities). Data are collected from 325 respondents of 19 life insurance companies through structured questionnaires where the questionnaire was distributed to 500 respondents (the response rate is 65 per cent). Descriptive statistics, correlation, and multiple regression models are used to analyse the data. It is found that legal responsibility and discretionary responsibility are the major factors in determining the financial performance of insurance companies in Nepal. CCA helps to bust up the return in terms of profit.
Development of a DNA biosensor for the detection of phenylketonuria based on a screen-printed gold electrode and hematoxylin

Phenylketonuria (PKU), which is a deficiency of an important metabolic enzyme, is caused by several identified point mutations in populations around the world. Several methods have been developed for the detection of DNA mutations so far, including biosensors, especially electrochemical biosensors. In this research, we developed a novel biosensor using a special electrochemical label, hematoxylin. A screen-printed gold electrode (SPGE) modified with thiolated detection probes was used to detect the point mutation IVS10nt-11g→a of phenylalanine hydroxylase (PAH) enzyme. The methodology and its efficiency have been proved using cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS) studies in [Fe(CN)6]3−/4− solution. Under optimized conditions, the biosensor was able to detect the target DNA ranging from 20 pM to 150 nM with a detection limit of 8.5 pM. In addition, the selectivity of the biosensor was tested by the application of single-base mismatched and three-base mismatched oligonucleotides in comparison to the target DNA. Finally, the interference studies were performed in order to confirm the functionality of the biosensor in real sample applications, which proved good functionality for the biosensor in simulated extracted DNA solutions.
Design, Optimization and Experimental Verification of a Low Cost Two-Microcontroller Based Single-Phase STATCOM

ABSTRACT This paper proposes the design and optimization procedure for a low cost single-phase Static Synchronous Compensator (STATCOM) based on Cascaded H-bridge Multilevel Converter (CHBMC) topology. The CHBMC consists of two series-connected identical H-bridge converters so that five voltage levels at the AC side of STATCOM are attained. After summarizing the basic STATCOM operation and the modelling of the CHBMC topology, the STATCOM model connected to a 220 V single-phase grid is simulated in order to verify closed-loop operation of the STATCOM. In this study, two PI controllers are used for reactive power control and regulating the average DC link voltage of the two H-bridge converters. The optimization of the PI controller parameters are achieved by particle swarm optimization method. Finally, the hardware design of a small power rated of single-phase STATCOM connected to 220 V grid is realized and verified experimentally. Phase shifted multi-carrier sinusoidal pulse width modulation is chosen to drive the MOSFET switches. It is shown that STATCOM is able to be operate both in capacitive and inductive mode of operation and injects the desired amount of reactive power into the grid. The advantages of the developed prototype are low-cost, easy to implement and upgradable to higher voltage/power levels.
Auditing Network Embedding: An Edge Influence Based Approach

Learning node representations in a network has a wide range of applications. Most of the existing work focuses on improving the performance of the learned node representations by designing advanced network embedding models. In contrast to these work, this article aims to provide some understanding of the rationale behind the existing network embedding models, e.g., <italic>why</italic> a given embedding algorithm outputs the specific node representations and <italic>how</italic> the resulting node representations relate to the structure of the input network. In particular, we propose to discern the edge influence for two widely-studied classes of network embedding models, i.e., skip-gram based models and graph neural networks. We provide algorithms to effectively and efficiently quantify the edge influence on node representations, and further identify high-influential edges by exploiting the linkage between edge influence and network structure. Experimental evaluations are conducted on real datasets showing that: 1) in terms of quantifying edge influence, the proposed method is significantly faster (up to <inline-formula><tex-math notation="LaTeX">$2,000\times$</tex-math><alternatives><mml:math><mml:mrow><mml:mn>2</mml:mn><mml:mo>,</mml:mo><mml:mn>000</mml:mn><mml:mo>×</mml:mo></mml:mrow></mml:math><inline-graphic xlink:href="wang-ieq1-3056884.gif"/></alternatives></inline-formula>) than straightforward methods with little quality loss, and 2) in terms of identifying high-influential edges, the identified edges by the proposed method have a significant impact in the context of downstream prediction task and adversarial attacking.
Vaccination against Cervical Cancer: Profile of Accommodating Parents and Some Suggestions to Overcome Hesitancy against Vaccination

Faculty of Health Sciences, Department of Obstetrics and Gynecology, University of Buea, Cameroon. 2 Buea Regional Hospital Annex, Cameroon. Atlantic Medical Foundation Hospital – Mutengene, Cameroon. 4 Faculty of Social and Management Sciences, Department of Sociology and Anthropology, University of Buea, Cameroon. 5 Faculty of Sciences, Department of Biochemistry and Molecular Biology, University of Buea, Cameroon. Infectious Disease Laboratory, Faculty of Health Sciences, University of Buea, P.O. Box 63, Buea, Cameroon. Kumbo Sub Divisional Hospital, Kumbo, Cameroon. 8 Baptist Hospital Mutengene, Cameroon.
Analysis and optimization of coil structure of magnetic circuit mechanism for electric vehicle wireless charging system

To improve the efficiency of the electric vehicle wireless charging system, an optimization design method for the number of coil layers is proposed and studied, which effectively improves the coupling coefficient of the magnetic circuit mechanism. This article first analyzes the energy efficiency characteristics of the wireless charging system for electric vehicles. Then, it analyzes the inductance value changes and magnetic field distribution characteristics of fixed turns coils under different layers. The finite element simulation results performed by MAXWELL show that inducing the number of primary coil layers and increasing the number of secondary coil layers are conducive to the improvement of the coupling coefficient between the coils. Then, based on the theoretical analysis results, the number of coil turns of each layer of the multilayer coil is analyzed and optimized, and a bowl-shaped pair multilayer coil winding method is proposed.
Real-Time Millimeter Wave Radar Vision System

We describe a novel real-time image processing and sensor fusion system for aerial vehicles in need of autonomous landing, guidance and obstacle avoidance. The Intelligent Synthetic Vision System (ISVS) described herein can process and display information merged from multiple image sources including a high resolution millimeter wave radar, a stored terrain with 3D airport database, FLIR, as well as visual reference images. The resulting solution provides safe all-time/all-visibility navigation in terrain-challenging areas and, in particular, real-time object detection during the final phases of landing in all weather conditions.
Attention-Aware Pseudo-3-D Convolutional Neural Network for Hyperspectral Image Classification

Convolutional neural networks (CNNs) have been applied for hyperspectral image classification recently. Among this class of deep models, 3-D CNN has been shown to be more effective by learning discriminative features from abundant spectral signatures and spatial contexts in hyperspectral imagery (HSI). However, by simply imposing 3-D CNN to HSI, a large amount of initial information might be lost in this CNN pipeline. The proposed attention-aware pseudo-3-D (AP3D) convolutional network for HSI classification is motivated by two observations. First, each dimension of the 3-D HSI is not equally important, different attention should be paid to different dimensions of the initial HSI image, especially in the first convolution operation. Second, intermediate representations of the 3-D input image at different stages in the 3-D CNN pipeline represent different levels of features and should not be neglected and abandoned. Instead, a 2-D matrix of scores for each feature map should be fed to the final softmax layer. Quantitative and qualitative results demonstrate that the proposed AP3D model outperforms the state-of-the-art HSI classification methods in agricultural and rural/urban data sets: Indian Pines, Pavia University, and Salinas Scene.
Classification of Arabic Documents depending on Maximal Frequent Itemsets

In this paper we introduced techniques for classifying Arabic documents depending on association rules built from maximal frequent itemsets. Parallel Maximal Itemset Miner Algorithm (PMIMA) adopted several conditions to prune search space parallelly introduced for extracting maximal frequent itemsets. Rule length, rule weight and rule majority are three classification methods exploited to classification Arabic documents. Comparing with classification results obtained depending on all frequent itemsets extracted by Apriori, we proved efficiency of ours approach.
Using Interprofessional Simulation to Enhance Student Knowledge and Promote Collaborative Practice in Disaster Management

Introduction. Experiential learning activities, such as simulations, strengthen student learning by allowing students to apply didactic knowledge to real-world settings. Moreover, simulation-based interprofessional education supports teamwork and skill development as outlined in accreditation standards for many health and health-related academic programs. The purpose of this article is to describe the role of interprofessional simulation in enhancing student knowledge and promoting collaborative practice for disaster management. Method. Multiple data sources were used to assess a simulated EF-5 tornado disaster event including an observational protocol, a disaster simulation survey, and a survey from the Office of Interprofessional Simulation for Innovative Clinical Practice. Results. Students reported increased satisfaction and knowledge with applying skills associated with interprofessional practice, including communication, teamwork, and collaboration. Additionally, students identified skills that could be broadly applied to a range of work settings on graduation such as seeking role clarity, utilizing job action sheets, and responding to a complex situation. Notably, students reported increased levels of knowledge gain of the incident command structure after applying knowledge from didactic sessions to the simulation. Conclusion. Simulation is an innovative strategy for integrating theory and practice to best prepare graduates for the dynamic world in which they live and work. Experiential learning opportunities appeal to the assumptions of adult learning, promote the skills that employers value, and bridge the competencies of multiple academic disciplines that frequently operate in silos. Institutional leaders should view experiential learning as a critical component of student learning and an investment in workforce development.
Evaluation of the Architectural Features and Physical Environment in Early Childhood Education Framework

Many initial childhood settings worldwide have started to create an environment and educational system that would increase the children’s environmental awareness and the ways to minimize it. A newly built ecological kindergarten in Antalya, Turkey, has adopted an educational system in which children are getting involved with nature in most of their daily routines. This study intended to learn if the physical environment of the declared setting responds to the early childhood environmental education work frame. Accordingly, the study has adopted “Guidelines for Excellence, Early Childhood Environmental Education Programs’’ as the primary resource for an evaluation checklist. Data collection is conducted via an in-depth site analysis, as well as the questionnaire survey of teachers and parents regarding their perception of the kindergarten’s physical environment. The results showed that the physical environment of the kindergarten does not meet the requirements of the early education environmental framework. This study underlines the importance of profound research studies that analyze the architectural features of an early environmental education setting and the ways improving its physical attributes may promote the children environmental education. Doi: 10.28991/cej-2021-03091657 Full Text: PDF