Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of Afforestation Restoration on Soil Potential N2O Emission and Denitrifying Bacteria After Farmland Abandonment in the Chinese Loess Plateau

Denitrification is a critical component of soil nitrogen (N) cycling, including its role in the production and loss of nitrous oxide (N2O) from the soil system. However, restoration effects on the contribution of denitrification to soil N2O emissions, the abundance and diversity of denitrifying bacteria, and relationships among N2O emissions, soil properties, and denitrifying bacterial community composition remains poorly known. This is particularly true for fragile semiarid ecosystems. In order to address this knowledge gap, we utilized 42-year chronosequence of Robinia pseudoacacia plantations in the Chinese hilly gullied Loess Plateau. Soil potential N2O emission rates were measured using anaerobic incubation experiments. Quantitative polymerase chain reaction (Q-PCR) and Illumina MiSeq high-throughput sequencing were used to reveal the abundance and community composition of denitrifying bacteria. In this study, the afforestation practices following farmland abandonment had a strong negative effect on soil potential N2O emission rates during the first 33 years. However, potential N2O emission rates steadily increased in 42 years of restoration, leading to enhanced potential risk of greenhouse gas emissions. Furthermore, active afforestation increased the abundance of denitrifying functional genes, and enhanced microbial biomass. Actinobacteria and Proteobacteria were the dominant denitrifying bacterial phyla in the 0 to 33-years old sites, while the 42-years sites were dominated by Planctomycetes and Actinobacteria, implying that the restoration performed at these sites promoted soil microbial succession. Finally, correlation analyses revealed that soil organic carbon concentrations had the strongest relationship with potential N2O emission rates, followed by the abundance of the nosZ functional gene, bulk density, and the abundance of Bradyrhizobium and Variovorax across restoration stages. Taken together, our data suggest above-ground restoration of plant communities results in microbial community succession, improved soil quality, and significantly altered N2O emissions.
Design of a Wearable 3-DOF Forearm Exoskeleton for Rehabilitation and Assistive Purposes

This paper presents the design and analysis of a portable forearm exoskeleton designed for rehabilitation and assistive purposes (FE.RAP). The design uses a direct-drive mechanism to actuate three degrees of freedom (DOFs) of the wrist, including: (1) wrist flexion and extension, (2) wrist radial and ulnar deviation, and (3) forearm supination and pronation. In recent decades, automated at-home recovery therapies have emerged as popular alternatives to hospital-based rehabilitation. Often in the case of lower arm rehabilitation, however, existing exoskeletons are not practical to use as home rehabilitation devices due to being non-transportable, bulky in size, and heavy in weight. In addition, compact sized exoskeletons often lack sufficient DOFs to mirror the natural movements of the hand. This paper proposes a design that addresses the drawbacks of current exoskeletons. The FE.RAP is designed to be portable and lightweight, while maintaining sufficient DOFs to help patients recover the range of motion needed by the wrist and forearm to support activities of daily living (ADL). Along with the design, the paper presents an analysis used to optimize the workspace for each DOF of the system. A kinematic analysis is performed to validate and compare the workspace of the system, as well as the coupling relationship between the DOFs, to that of the human hand and wrist. Finally, the torque required to support most ADLs is determined using static and dynamic analyses.
The Role of Work Values in Relationship between Human Values and Motivation

In this study, it is aimed to clarify the relationship between human values, work values and motivation. Research question of the study is to investigate specifically the interaction between human values, work values and motivation with direct and indirect effects. Firstly, the hypotheses in the basic literature were tested. Secondly, post-hoc analyses were conducted to clarify the mediator and moderator roles of work values. As a result of post-hoc analyses, partial mediator roles of work values have been proved for each variable but moderator effect of work values haven’t been proved. This result, particularly, supported the literature that work values are part of human values in business life.
Exploring Pre-Service Teachers' Pedagogical Beliefs in Primary Education

Considerable research emphasized that pre-service teachers enter teacher education programs with beliefs about teaching and learning and relate their beliefs to the experiences they gained through their previous studies. Then, their pre-existed beliefs have been shaped through the teacher education. Therefore, understanding pre-service teachers’ pedagogical beliefs plays an important role in their professional development. The purpose of this research is to understand pre-service teachers’ pedagogical beliefs in primary education in Turkey. Pedagogical Beliefs Scale developed by the author is used in order to understand their pedagogical beliefs. Scale development included data from 553 pre-service teachers. To understand primary pre-service teachers' pedagogical beliefs, data gathered from 310 primary pre-service teachers. Findings revealed that majority of the pre-service teachers hold constructivist beliefs. Although there is no statistically significant difference among the primary pre-service teachers regarding the year they enrolled, statistically significant difference found in favour of female pre-service teachers. Findings of this research revealed that pre-service teachers hold compatible pedagogical beliefs with the demands of the primary curriculum in Turkey.
Retractions in the Engineering Field: A Study on the Web of Science Database

This study assesses the retractions of scientific articles in engineering journals indexed on the Web of Science from 1945 to 2015. The data set was built based on documents containing the keywords retracted, retraction, withdrawal, or redress. We used database exploration techniques, including Structured Query Language and analysis of variance, for data analysis. We analyzed 238 retractions published by 117 journals. The most common reason for retraction was unethical research, and higher impact factors journals tended to publish more retractions. In conclusion, most of the analyzed retractions were the result of unethical research and were retracted by editors.
Supporting open science in big data frameworks and data science education

As the prevalence of data grows throughout the Big Data era, so does a need to provide and improve tools for the education and application of data-driven analytics and scientific investigation. The main contributions of this research can be summarized as follows: i) We provide an overview of the open source ScalaTion project, a big data framework that supports big data analytics, simulation modeling, and functional data analysis. ii) We outline some of the Functional Data support in ScalaTion, including a performance comparison for the evaluation of B-spline basis functions that shows that our method is faster than some other popular libraries. iii) To demonstrate how to provide lightweight big data framework integration in open notebooks, we present the open source ScalaTion Kernel project, a custom Jupyter kernel that enables ScalaTion support in Jupyter notebooks. iv) To demonstrate research using ScalaTion, we outline and evaluate a tight clustering algorithm, written using ScalaTion, for the functional data analysis of time course omics data. v) To promote reproducibility in open science, we present the Applied Open Data Science (AODS) project, a collection of customized web applications for the hosting and sharing of open notebooks with ScalaTion support. This project also includes shareable, executable, and modifiable example notebooks that utilize ScalaTion to demonstrate various data science topics as well as detailed documentation on how to easily reproduce the environment in which the notebooks are hosted. Specifically, we propose and demonstrate, via readily accessible examples, methods to facilitate openness and reproducibility (both of results and infrastructure) in data science investigations using a big data framework. Index words: open science, open notebooks, big data frameworks, data science, data science education
Schizotypy as a predictor for social media use and internet addiction behaviors in emerging adults

v List of Tables . viii Chapter 1: Introduction . 1 Chapter 2: Literature Review . 4 Technology Use and Internet Addiction . 4 Technology Use and Mood Disorders . 5 Technology Use and the Schizophrenia Spectrum . 6 Aims and Hypotheses . 7 Chapter 3: Methods . 9 Procedures . 9 Participants . 9 Measures . 9 Demographics and Health Questionnaire . 9 Facebook Use Scales.10 Internet Addiction Test . 10 Schizotypal Personality Questionnaire-Brief Revised . 11 Generalized Anxiety Disorder 7 Item Scale . 12 Personal Health Questionnaire Depression Scale . 12 Analyses . 13 Chapter 4: Results . 15
An Investigation of Switchable Matched Bandstop to Bandpass Filter Based on Lossy Resonator

Filters are the basic component of transceivers and receivers in the RF front-end communication system, either as band reject or band select units. This research is about an investigation of the new switchable filter which is can switch from matched bandstop to bandpass filter based on lossy resonator, where the lossy resonator topology can be used to partially compensate for the loss. The aim of this research work is to investigate the switchable matched bandstop to the bandpass filter response using lossy resonator based on EM modeling. This filter will be realized in parallel-coupled L-shape resonator. A PIN and varactor diodes will be used to make the filter switchable. This switchable filter provides two modes of operation; matched bandstop and bandpass response. The operating frequency is 2.4 GHz. The theoretical analysis together with EM modeling of the new switchable matched bandstop to bandpass response are presented in this paper.
General and clinical personality assessment in workplace settings: Lines in the sand or regions on the beach?

In the focal article, Melson-Silimon, Harris, Shoenfelt, Miller, and Carter (2019) discuss the implications for general personality and personality disorder research in the context of organizational testing and the Americans with Disabilities Act (ADA). The authors make recommendations regarding the use of personality tests in these contexts as well as how practitioners should consider which tests to choose. We agree that a better understanding of the distinction between general and clinical models of personality assessment is imperative in the context of employment decisions. Additionally, we agree that these models share structural similarities that are important for organizational researchers and practitioners to understand. However, we contend that it is also important for these and other stakeholder groups (e.g., clinicians, employees) to recognize the conceptual distinctions between the models, as well as the appropriate roles of those involved in assessment. Since the inception of the categorical model of personality disorders that was introduced in the third edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM; American Psychiatric Association [APA], 1980), critics have argued that the model sacrificed validity in the service of increasing reliability. These arguments were supported by problems of excessive comorbidity, substantial diagnostic heterogeneity, inadequate symptom coverage, diagnostic thresholds that were considered arbitrary, and the framework’s basis in a personality typology model that is inconsistent with years of personality science research (Morey, Benson, Busch, & Skodol, 2015). With the inclusion of the Alternative Model for Personality Disorders (AMPD) in Section III of the DSM-5 (APA, 2013), the classification and assessment of personality disorders in the DSM is moving toward a stronger empirical foundation, with personality disorders defined, in part, as maladaptive variants of normal range personality traits. Although we agree with the authors’ conclusion that more conversation is needed across psychology disciplines and the EEOC in light of these changes, we are concerned that the focal article appears to suggest that DSM revisions have resulted in measures of normal range personality traits now becoming de facto clinical measures that can be used to infer the presence of personality disorders, thus making them susceptible to ADA challenges. Measures of general personality have long shown relevance to clinical practice (Costa &McCrae, 1992), though by nature, their utility in assessing abnormal personality characteristics and psychopathology is limited. Three areas of discussion appear relevant in this case:
Correlation of internet addiction with anxiety, depression and personality traits –Upper Egypt study

Objective: The aim of the study was to investigate the relationship of Anxiety, Depression and personality traits with Internet addiction (IA) in university students. Methods: A cross-sectional survey was conducted on a random sample of 588 students selected from four faculties in Sohag University. IA was assessed by the 20-item Young Internet Addiction Test (YIAT). Information was also collected on socio-demographics, university-related factors and Internet usage patterns. Eysenck personality questionnaire (EPQ) used for Assessment of the personality traits. Taylor’s Manifest Anxiety Scale was used as a general indicator of anxiety. Beck depression inventory was used for measuring the existence and the severity of depression. Results: Findings showed that the prevalence of problematic internet use (PIU) among the studied population was 35.2%. About 86.9% of Students with PIU significantly had anxiety also, 85.02% of Students with PIU significantly had Depression . PIU significantly had high score in Psychoticism and Neuroticism and low score in Lie and Extraversion. Conclusion: PIU prevalent disorder among undergraduate university students in Sohag. Clinicians and health professionals should be aware of the risk of PIU in students with Anxiety ,Depression and abnormal personality triats.
Pointing the way to social cognition: A phenomenological approach to embodiment, pointing, and imitation in the first year of infancy.

I have two objectives in this article. The ﬁrst is methodological: I elaborate a minimal phenomenological method and attempt to show its importance in studies of infant behavior. The second objective is substantive: Applying the minimal phenomenological approach, combined with Meltzoff’s “like-me” developmental framework, I propose the hypothesis that infants learn the pointing gesture at least in part through imitation. I explain how developments in sensorimotor ability (posture, arm and hand control and coordination, and locomotion) in the ﬁrst year of life prepare the infant for acquiring the pointing gesture. The former may directly enable the latter by allowing the infant to experience its own body as being “like those” of others, thus allowing it to imitatively appropriate a broader range of adult behavior. My proposal emphasizes the embodiment of mind in the development of cognition, contrary to latent dualistic tendencies in some developmental literature. Public Signiﬁcance Statement This article proposes an embodied, phenomenological approach to understanding how infants learn to understand and produce the pointing gesture in the ﬁrst year of life. Emphasis is placed on the role of embodiment and imitation and how developments in embodiment and imitative ability may facilitate more general advances in social cognition.
Intensive Summer Intervention Drives Linear Growth of Reading Skill in Struggling Readers

A major achievement of reading research has been the development of effective intervention programs for struggling readers. Most intervention studies employ a pre-post design, to examine efficacy, but this precludes the study of growth curves over the course of the intervention program. Determining the time-course of improvement is essential for cost-effective, evidence-based decisions on the optimal intervention dosage. The goal of this study was to analyze reading growth curves during an intensive summer intervention program. A cohort of 31 children (6–12 years) with reading difficulties (N = 21 with dyslexia diagnosis) were enrolled in 160 h of intervention occurring over 8 weeks of summer vacation. We collected behavioral measures over 4 sessions assessing decoding, oral reading fluency, and comprehension. Mixed-effects modeling of longitudinal measurements revealed a linear dose-response relationship between hours of intervention and improvement in reading ability; there was significant linear growth on every measure of reading skill and none of the measures showed non-linear growth trajectories. Decoding skills showed substantial growth [Cohen’s d = 0.85 (WJ Basic Reading Skills)], with fluency and comprehension growing more gradually [d = 0.41 (WJ Reading Fluency)]. These results highlight the opportunity to improve reading skills over an intensive, short-term summer intervention program, and the linear dose-response relationship between duration and gains enables educators to set reading level goals and design a treatment plan to achieve them.
Evaluating Organizational Efficiency and Success through Knowledge Sharing

The study of organizational citizenship behavior (OCB) has emerged as an extremely popular topic of organizational psychology, human resource management, and organizational behavior. It has been of increasing interest to both scholars and managers [1,4]. The present study attempts to identify the factors that support Organizational Citizenship Behavior. The respondents from 26 top IT companies were surveyed through tested and standardized questionnaires for the purpose of data collection. This data was analyzed using, Factor Analysis and followed by SEM analysis. Results of exploratory factor analysis revealed that all the items are psychometrically sound in terms of their target loadings. The result of this SEM revealed that employee attitude towards knowledge sharing, employee satisfaction in job, organizational commitment, leadership and motivation are positively associated to organizational citizenship behavior. Keywords: Employee Satisfaction, Leadership, Motivation, Organizational Citizenship Behavior, Organizational Commitment.
A Self-Adjusting Approach to Identify Hotspots

Hotspot identification or detection has been widely used in many fields; however the traditional grid-based approaches may incur some problems when dealing with point database. This article expands on three types of mismatch problems in grid-based approach and suggests a point-based approach may be more suitable. Inspired by the DBSCAN algorithm, a self-adjusting approach is then proposed for hotspot detection which overcomes the weakness of parameter sensitivity shared by most clustering approaches. Finally, the data of commercial points of interest of a city is used for demonstration.
Automatic extraction of via in the CT image of PCB

In modern industry, the nondestructive testing of printed circuit board (PCB) can prevent effectively the system failure and is becoming more and more important. In order to detect the via in the PCB base on the CT image automatically，accurately and reliably, a novel algorithm for via extraction based on weighting stack combining the morphologic character of via is designed. Every slice data in the vertical direction of the PCB is superimposed to enhanced vias target. The OTSU algorithm is used to segment the slice image. OTSU algorithm of thresholding gray level images is efficient for separating an image into two classes where two types of fairly distinct classes exist in the image. Randomized Hough Transform was used to locate the region of via in the segmented binary image. Then the 3D reconstruction of via based on sequence slice images was done by volume rendering. The accuracy of via positioning and detecting from a CT images of PCB was demonstrated by proposed algorithm. It was found that the method is good in veracity and stability for detecting of via in three dimensional.
Hardware Realization of Antifogging System

There are many reasons for invisibility of objects on road in daylight, majority of them are Fog (condensed water droplets in atmosphere), smog (soot particles in air). This reduced visibility is one of the prime factors responsible for accident of vehicles and disadvantage in surveillance system. This chapter takes account of a method that comprises of a complete embedded system for the process of restoring the captured foggy images. Use of a novel ‘Mean Channel Prior’ algorithm for defogging is presented. Further detailed step by step explanation is given for hardware implementation of MATLAB code. Hardware consists of raspberry pi which is an ARM7 Quad Core processor based mini computer model. System serves as portable, low cost and low power processing unit with provision of interfacing a camera and a display screen.