Miracle-dz/UniFAR-FTUs huggingface dataset:
Bidirectional Effects Between Parental Care and Depression Among Adolescent Boys: Results From the Chinese Family Panel Studies

Background Research has consistently shown the adverse effects of inappropriate parenting on adolescent depression. Meanwhile, interpersonal theories of depression suggest that depressed individuals elicit frustration and rejection from their relational partners. Method Using two-wave data from the Chinese Family Panel Studies (CFPS), the present study examined the prospective relationships between parental care and adolescent depression. Participant were 426 adolescents (54.9% male) born in 1999 (ages at T1 and T2 were 11 and 13). Results Results from the structural equation model showed that parental care prospectively and negatively predicted depression among both adolescent boys and girls. Inversely, adolescent boys’ depression, but not girls’ depression, negatively predicted subsequent parental care. Conclusion The results suggest the interactive dynamic between parental care and adolescent depression as well as parents’ gendered responses to adolescent depression.
Characterization of Vanadium-Doped BaBi4Ti4O15 Prepared by Molten KCl Salt Method

<p>One of the potential properties of the Aurivillius compound is photocatalyst. The four-layered Aurivillius compound BaBi<sub>4</sub>Ti<sub>4</sub>O<sub>15</sub> has a bandgap energy of 3.2 eV caused having work function in the UV light area. The strategy to decrease the bandgap energy is doping with metal elements such as vanadium (V). In this research, vanadium-doped BaBi<sub>4</sub>Ti<sub>4</sub>O<sub>15</sub> (BaBi<sub>4</sub>Ti<sub>4-</sub><em><sub>x</sub></em>V<em><sub>x</sub></em>O<sub>15</sub>) (<em>x</em>= 0, 0.05, 0.1, and 0.15)) compounds was synthesized through the molten KCl salt method. The diffractogram samples showed that BaBi<sub>4</sub>Ti<sub>4-</sub><em><sub>x</sub></em>V<em><sub>x</sub></em>O<sub>15</sub> (<em>x</em>= 0, 0.05, 0.1, 0.15) had been successfully obtained but still found impurities TiO<sub>2</sub> (rutile phase) at <em>x</em>= 0, 0.05, 0.1, 0.15, and Bi<sub>4</sub>V<sub>2</sub>O<sub>11</sub> at <em>x</em>= 0.15. The SEM image showed that the particle has plate-like morphology. The UV-Vis DRS spectrum showed that vanadium-doped BaBi<sub>4</sub>Ti<sub>4</sub>O<sub>15</sub> has lower bandgap energy. </p>
Curb Detection Using a Novel Deep Learning Framework Based on YOLO‐v2

Curb detection with a monocular camera is important to assist driving by detecting curbs to avoid accidents. However, various road scenes and curb shapes make it difficult to detect curbs based on a single image. In this study, a novel image‐based curb detection method that is highly efficient, inexpensive, and less complex than LiDAR‐based solutions was developed. A deep learning framework was used to detect curbs from road images automatically. A custom convolutional neural network (CNN) model was built, and another seven pretrained models were fine‐tuned for curb patch classification. The evaluation metrics, such as accuracy, F1‐score, area under curve, and prediction time, were considered comprehensively to select the optimal CNN architecture. Three promising CNN architectures were employed as classification networks and embedded into the YOLO‐v2 framework to construct curb detectors. The detection performance was evaluated in terms of the average precision on an urban road image dataset. By configuring parameters for the optimal CNN architecture, the best detector achieved an average precision of 99.16%, which verifies the effectiveness of the proposed method. © 2022 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.
Modelling international technology transfer process: Evidence from libyan information and communication industry

This study suggests a model that describes the TT process of importing the foreign advanced technology by information and communication technology companies (ICT) and related SME’s projects in Libya. The past relevant technology transfer models are reviewed in order to investigate and sort out the most influential international TT factors. These factors are believed to influence the transfer process effectiveness. The suggested model was based on a thorough literature review on a TT studies and the variables which extracted and modified from the past investigated models are classified as factors and sub-factors in a conceptual ICT industry context. These factors defined as TT government support initiatives, transferor characteristics, transferee characteristics, TT environment, learning centres and their respective subfactors (variables) and outcome factor TT achievements. A questionnaire that conducted recently in the TT process in the Libyan ICT industry was utilized to verify the model. Major statistical techniques are applied to analyse the questionnaire data. These approaches included descriptive statistic and inferential statistics. The model factors and sub-factors are reformed by utilizing exploratory factor analysis (EFA). In addition, the significance of direct and indirect interrelationships between model factors was determined through confirmatory factor analysis (CFA).
Platform competition processes : A future research outlook

Platform competition for market share can have broad ranging implications within or across industry sectors. It is subject to the complex and changing socioeconomic context in which it unfolds. Three trends provide evidence for this: (i) the number of relevant factors for platform market dominance is steadily increasing, (ii) industries converge, and (iii) historically platform competition cases take less time to unfold. These trends suggest that the delays involved in how relevant factors influence the market outcome of platform competition have been changing ultimately influencing the trade-offs managers face in platform development and competition. Nevertheless, none of the existing frameworks in the literature is equipped to account for delays explicitly. Hence, no empirical studies based on these frameworks take this directly into consideration either. The article argues that a way forward is the systematic use of modelling and simulation when applying these frameworks to platform competition cases and outlines the research agenda this opens up.
Performance analysis of subspace‐based spatio‐temporal spectral estimator

In this article, the performance analysis of subspace‐based spatial‐temporal spectral estimation is investigated. Subspace methods adopt an eigenstructure approach to estimate the array observation power in the frequency‐direction ( f−θ$$ f-\theta $$ ) plane. This approach is used in many wideband array processing techniques using spatial‐temporal covariance matrix (STCM). In this article, the performance of subspace‐based algorithms is addressed in case of two plane waves, separated in direction of arrival (DOA) and frequency, impinging on a linear array. The analysis on one‐dimensional ( f$$ f $$ or θ$$ \theta $$ ) subspace‐based methods are extended to the two‐dimensional case ( f−θ$$ f-\theta $$ ). Then, an analytic formulation for the expected value of the null spectrum of the observations' spatial‐temporal spectral is presented. Accordingly, two resolution criteria for resolving two plane waves are discussed, and corresponding analytic relations are derived and verified through simulations. In this analysis, the effect of temporal lag order, number of snapshots, and signal‐to‐noise ratio (SNR) in DOA and frequency resolution are well shown. Finally, two conceptual examples of practical design scenarios are presented.
Bonds and barriers: Mental health, service provision, and Middle Eastern/North African cultural identity in the U.S.

This exploratory study examined the intersections of Middle Eastern and North African (MENA) American cultural identity and attitudes towards mental health and mental health services. Fifteen in-depth narrative interviews with participants of MENA descent in the United States were analyzed using qualitative thematic content analysis, revealing five primary themes within these data: denial, lack of awareness, stigma/shame, collective identity, and resistance. These results indicate cultural identity plays a unique and significant role in how this population understands and responds to mental health and substance use challenges, in a way that often creates barriers to social service provision and success. Implications and suggestions for how these findings might be used to develop more culturally competent and effective social work interventions for MENA communities are discussed.
Strategies to reduce stigma and discrimination in sexual and reproductive healthcare settings: A mixed-methods systematic review

Stigma and discrimination are fundamental causes of health inequities, and reflect privilege, power, and disadvantage within society. Experiences and impacts of stigma and discrimination are well-documented, but a critical gap remains on effective strategies to reduce stigma and discrimination in sexual and reproductive healthcare settings. We aimed to address this gap by conducting a mixed-methods systematic review and narrative synthesis to describe strategy types and characteristics, assess effectiveness, and synthesize key stakeholder experiences. We searched MEDLINE, CINAHL, Global Health, and grey literature. We included quantitative and qualitative studies evaluating strategies to reduce stigma and discrimination in sexual and reproductive healthcare settings. We used an implementation-focused narrative synthesis approach, with four steps: 1) preliminary descriptive synthesis, 2) exploration of relationships between and across studies, 3) thematic analysis of qualitative evidence, and 4) model creation to map strategy aims and outcomes. Of 8,262 articles screened, we included 12 articles from 10 studies. Nine articles contributed quantitative data, and all measured health worker-reported outcomes, typically about awareness of stigma or if they acted in a stigmatizing way. Six articles contributed qualitative data, five were health worker perspectives post-implementation and showed favorable experiences of strategies and beliefs that strategies encouraged introspection and cultural humility. We mapped studies to levels where stigma can exist and be confronted and identified critical differences between levels of stigma strategies aimed to intervene on and evaluation approaches used. Important foundational work has described stigma and discrimination in sexual and reproductive healthcare settings, but limited interventional work has been conducted. Healthcare and policy interventions aiming to improve equity should consider intervening on and measuring stigma and discrimination-related outcomes. Efforts to address mistreatment will not be effective when stigma and discrimination persist. Our analysis and recommendations can inform future intervention design and implementation research to promote respectful, person-centered care for all.
Enhanced imaging of piezoresistive nanocomposites through the incorporation of nonlocal conductivity changes in electrical impedance tomography

Electrical impedance tomography is a method of noninvasively imaging the internal conductivity distribution of a domain. Because many materials exhibit piezoresistivity, electrical impedance tomography has considerable potential for application in structural health monitoring. Despite its numerous benefits such as being low cost, providing continuous sensing, and having the ability to be employed in real time, electrical impedance tomography is limited by several important factors such as the ill-posed nature of the inverse problem and the requirement for large electrode arrays to produce quality images. Unfortunately, current methods of mitigating these limitations impose upon the benefits of electrical impedance tomography. Herein, we propose a multi-physics approach of enhancing electrical impedance tomography without sacrificing any of its benefits. This approach is predicated on coupling global conductivity changes with the electrical impedance tomography inversion process thereby adding additional constraints and rendering the problem less ill-posed. Additionally, we leverage physically motivated global conductivity changes in the context of piezoresistive nanocomposites. We demonstrate this proof of concept with numerical simulations and demonstrate that by incorporating multiple conductivity changes, the rank of the sensitivity matrix can be improved and the quality of electrical impedance tomography reconstructions can be enhanced. The proposed method, therefore, has the potential of easing the implementation burden of electrical impedance tomography while concurrently enabling high-quality images to be produced without imposing on the major advantages of electrical impedance tomography.
Proposed Framework for Evaluating Spillback in the Highway Capacity Manual

Procedures detailed in the Highway Capacity Manual 2010 (HCM 2010) estimate capacity and several operational measures dictating level of service for freeway facilities and surface streets. However, these methods do not consider cases in which spillback occurs from one facility type to another. The queuing effects in oversaturated conditions as they propagate upstream onto a freeway main line or a surface street intersection are not accounted for. The objective of this paper is to propose a series of modifications to enhance the HCM 2010 methods to address spillback conditions. These modifications consider lane utilization and lane blockage under spillback conditions and consist of restructuring existing equations and reference tables as well as developing new procedures. A four-regime method is proposed for evaluating spillback effects from urban streets to diverge and weaving segments. In addition, a method is proposed to account for the spillback effects from freeway on-ramps by reducing the effective green time as a proportion of the percent of time that the queue is expected to block the upstream signalized intersection. The framework developed uses assumptions that should be further explored through an extensive, nationwide data collection effort.
Gobierno de TI en Pymes Colombianas. Mito o Realidad

El presente artículo se enmarca en el desarrollo del proyecto MODELO INTEGRADO PARA LA ADOPCIÓN DE POLÍTICAS DE GOBIERNO DE TECNOLOGÍAS DE LA INFORMACIÓN EN PYMES. Hace una revisión sistemática de la literatura en cuanto a conceptos, marcos de referencia y normativa que contribuyen en el alineamiento de las TI y el gobierno corporativo de las empresas. Analiza el estado actual de las PyMES en Colombia, y como aporta el GOBIT en el desarrollo de las PyMES en el país. Posterior a la revisión de la literatura se llega a la conclusión que para alcanzar los objetivos trazados por parte de las organizaciones, es necesario que las empresas establezcan acciones encaminadas a la eficaz gestión de los recursos de TI, la implementación de las acciones planteadas, un posterior seguimiento a esas acciones, y finalmente trabajar en conjunto por la mejora continua de los procesos. Palabras clave: Gobierno de TI, Gobierno Corporativo, PyMES, ITIL, ISO/IEC 38500, Calder-Moir, ISO 27002, ITGI ABSTRACT:
Monitoring the Geometric Position of Transition Zones to Increase the Quality and Safety of Railway Lines

Transition zones on railway lines are localities with gradual changes in the construction layers in the connections between a fixed track and ballasted track or between a wide track and various railway objects, e.g., tunnels, bridges, culverts, etc. The different type of construction of transition zones causes a shock wave when the train passes, which can cause undesired effects on the stability of its construction, durability, and passengers’ comfort. For this reason, railway opera-tors pay increased attention to the construction inspection of these transition sections. The research deals with the description of the transition zones, methods, and results of their monitoring in experimental sections of the railway corridors. Innovative aspects are the measurements made using precise geodetic instruments as well as continuous measurements with the KRAB trolley. The analyses of measurements in the experimental sections of the track show whether the stability of the geometric spatial position is ensured.
Making Justice Fundamental: Teacher Educators’ Journey to Reimagine Accountability

ABSTRACT This article describes the journey of two teacher educators to reconstruct our knowledge about grading and shift justice from ornamental to fundamental in our teacher preparation methods courses. This work attempts to answer the call from scholars, who have been advocating for educators to be more prepared to meet the needs of a diverse student population. Despite these long-standing calls from scholars, teacher education programs, including the use of traditional grading methods, continue to uphold whiteness. We utilize a self-study methodology to document how we reimagined our grading practices in teacher preparation methods courses from perpetuating whiteness to centering justice. Drawing on principles of liberatory education, we designed a new accountability measure to invoke action and hold pre-service teachers accountable for growth toward anti-oppressive dispositions by taking ownership of their learning through the documentation of their learning and self-assessment of their continued progress. We discuss shifts in our own pedagogy, practices, and beliefs as a result. We also analyze the tensions of engaging in our efforts to adopt an alternative, justice-oriented grading method as white teacher educators and in teacher preparation classrooms that are predominately white, middle-class female pre-service teachers.
Toward Model Reduction for Power System Transients With Physics-Informed PDE

This manuscript reports the first step towards building a robust and efficient model reduction methodology to capture transient dynamics in a transmission level electric power system. Such dynamics is normally modeled on seconds-to-tens-of-seconds time scales by the so-called swing equations, which are ordinary differential equations defined on a spatially discrete model of the power grid. Following Seymlyen (1974) and Thorpe, Seyler, and Phadke (1999), we suggest to map the swing equations onto a linear, inhomogeneous Partial Differential Equation (PDE) of parabolic type in two space and one time dimensions with time-independent coefficients and properly defined boundary conditions. We illustrate our method on the synchronous transmission grid of continental Europe. We show that, when properly coarse-grained, i.e., with the PDE coefficients and source terms extracted from a spatial convolution procedure of the respective discrete coefficients in the swing equations, the resulting PDE reproduces faithfully and efficiently the original swing dynamics. We finally discuss future extensions of this work, where the presented PDE-based modeling will initialize a physics-informed machine learning approach for real-time modeling, $n-1$ feasibility assessment and transient stability analysis of power systems.
Episodes of liberalization in autocracies: a new approach to quantitatively studying democratization

This paper introduces a new approach to the quantitative study of democratization. Building on the comparative case-study and large-N literature, it outlines an episode approach that identifies the discrete beginning of a period of political liberalization, traces its progression, and classifies episodes as successful versus different types of failing outcomes, thus avoiding potentially fallacious assumptions of unit homogeneity. We provide a description and analysis of all 383 liberalization episodes from 1900 to 2019, offering new insights on democratic “waves”. We also demonstrate the value of this approach by showing that while several established covariates are valuable for predicting the ultimate outcomes, none explain the onset of a period of liberalization.
Flexible Automation and Intelligent Manufacturing , FAIM 2017 , 27-30 June 2017 , Modena , Italy A review of the roles of Digital Twin in CPS-based production systems

The Digital Twin (DT) is one of the main concepts associated to the Industry 4.0 wave. This term is more and more used in industry and research initiatives; however, the scientific literature does not provide a unique definition of this concept. The paper aims at analyzing the definitions of the DT concept in scientific literature, retracing it from the initial conceptualization in the aerospace field, to the most recent interpretations in the manufacturing domain and more specifically in Industry 4.0 and smart manufacturing research. DT provides virtual representations of systems along their lifecycle. Optimizations and decisions making would then rely on the same data that are updated in real-time with the physical system, through synchronization enabled by sensors. The paper also proposes the definition of DT for Industry 4.0 manufacturing, elaborated by the European H2020 project MAYA, as a contribution to the research discussion about DT concept. © 2017 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the scientific committee of the 27th International Conference on Flexible Automation and Intelligent Manufacturing.
A Global Overview of Diversity and Phylogeny of the Rust Genus Uromyces

Uromyces is the second-largest plant pathogenic rust genus, is responsible for numerous diseases, and has major effects on both agricultural and non-agricultural plants. The genus is generally characterized by its unicellular teliospores that help to characterize it and distinguish it from another important rust genus, Puccinia. In this study, a global overview of the diversity and distribution of Uromyces is presented based on both online and offline resources. The information obtained was analyzed for numerical and graphical summaries to provide the diversity and distribution of the genus by country and continent. Besides this, broad taxonomical aspects, a brief life cycle, and other comparative aspects on diversity and distribution were also provided. In addition, a phylogenetic analysis based on the ITS and nLSU DNA sequence data available in GenBank and published literature was performed to examine the intergeneric relationships of Uromyces. The results obtained revealed that the rust genus is found distributed over 150 countries, territories, and occupancies of the world on around 647 plant genera belonging to 95 plant families. Phylogenetic studies based on LSU and ITS sequence data revealed that Uromyces species are polyphyletic and require more DNA-based analyses for a better understanding of their taxonomic placement.
WIDEBAND HIGH GAIN ANTENNA SUBARRAY FOR 5G APPLICATIONS

Wideband arrays have recently received considerable attention in 5G applications to cover larger frequency bands. This paper presents a novel design of a high gain and wideband antenna subarray from 23 GHz to 32 GHz, which covers the frequency bands proposed by the Federal Communications Commission (FCC) for 5G communications. The proposed subarray consists of four radiating elements with wideband and high gain characteristics. These elements are composed of two stacked patches, which are fed using the proximity coupling technique. A unit-cell element prototype is first fabricated and tested to validate the gain and bandwidth performances. A 1× 4 subarray prototype is then fabricated and tested, while maintaining an element spacing less than half-wavelength at the center frequency, to avoid grating lobes and to keep the small size of the antenna subarray. The measurement results of the prototypes, i.e., unit cell element and subarray prototypes, show good agreements with the simulations. The subarray measurements demonstrate a high gain of 10–12 dBi, an impedance bandwidth of 33.4%, and a 1-dB gain bandwidth of 10.5%. The proposed antenna subarray is a good candidate for wideband and high gain antenna arrays suitable for 5G mmW applications.