Miracle-dz/UniFAR-FTUs huggingface dataset:
Can Talent Management Improve Training, Sustainability and Excellence in the Labor Market?

The objective of this article is to analyze the characteristics of the most attractive companies in the labor market, which each year maintained their position in the ranking published by the Spanish business magazine Actualidad Económica (AE) for the period 2013–2020. The research study will focus on permanence in ranking, global valuation, and training. To do this, control variables were added: business management gender, geo-cultural areas, regional areas, economic activity, size and stock market membership. This is a quantitative work, where statistics such as partial correlations, Pearson coefficients and independent sample means were used with the Levene test; in modeling, multiple regressions of ordinary least squares (OLS) and panel data were used. It is concluded that the permanence in the ranking significantly increases the total value and training, which leads companies to excellence, along with the fact that they are in the capital of the country and that they focus on the commerce, professional, scientific and technical, and finance and insurance sectors. On the other hand, assessment of training is explained by employee valuation, the work environment and talent management. On the contrary, factors such as the gender variable in the business direction, nationality, size and stock market membership do not significantly influence the overall valuation.
An underworld tailored to tourists: A dragon, a photo-model, and a bio-indicator

The history of studies of a subterranean tailed amphibian, known as the olm or proteus (Proteus anguinus), is a colorful indicator of the changing view of the world beneath our feet. Throughout history, the underground has been presented as other worldly inhabited by life not of this world. At first, caves were the habitat of ghosts and spirtits, and then as a symbol for hell with all its attributes. The olm, in light of this prominant worldview, is discussed here, in which its status changed from that of a mythical dragon, to a photo-model, to a biological indicator of environmental health. The mix of these roles, with which the modern notion of this animal is presented, is mostly generated by the experience of tourguides in Postojna Cave in Slovenia. For a long time, Postojna was the only place that the wider public recognized as a home for proteus. This clearly shows the need to analyze the popular media constructions of environment.
ROSES: Remote Online Sessions for Emerging Seismologists

In response to a pandemic causing the cancellation of numerous professional development programs for emerging seismologists, we successfully planned, promoted, and executed an 11 week online school for advanced graduate students worldwide during the summer of 2020. Remote Online Sessions for Emerging Seismologists included 11 distinct lessons focused on different topics in seismology. We highlight the course content, structure, technical requirements, and participation statistics. We additionally provide a series of “lessons learned” for those in the community wishing to establish similar programs.
Heat Transfer on Rotating Channel With Various Heights of Pin-Fin

Pin-fins have been used to enhance the heat transfer near the trailing edge of a turbine airfoil. Previous pin-fin heat transfer studies focused mainly on the array geometry of pin height-to-diameter equal to unity in a stationary frame. This study experimentally examines the effects of pin height-to-diameter ratio (Hp /Dp ) from 2 to 4 and rotation number (Ro ) from 0 to 0.2. The tested model used a staggered pin-fin array with an inter-pin spacing of 2.5 times the pin-diameter (S/D = 2.5) in both longitudinal and transverse directions. Detailed heat/mass transfer coefficients were measured using the naphthalene sublimation technique with a heat-mass transfer analogy. The data measured suggest that an increase in Hp /Dp increases the level of array heat/mass transfer. Array averaged Sherwood numbers for Hp /Dp = 3 and Hp /Dp = 4 are approximately 10% and 35% higher than that of Hp /Dp = 2. The effect of rotation induces notable difference in heat/mass transfer between the leading surface and the trailing surface. The heat transfer coefficients change a little although the rotating number increases in the tested range because the pin-fins break the rotation-induced vortices.Copyright © 2008 by ASME
An Analytical Study of Conflicts and Violence on Socio-Economic Status in Pakistan

*Corresponding Author email: srehman@gudgk.edu. pk ARTICLE DETAILS ABSTRACT History Revised format: May 2021 Available Online: Jun 2021 Purpose: This research focuses on how the currently occurring conflicts in Pakistan are leading to violent acts which in turn affect the society and the economy of the country. Conflicts and violence are becoming a colossal menace for developing countries such as Pakistan and Afghanistan. Design/Methodology/Approach: Moreover, the research has examined, using the tools of comparative analysis, how conflicts and violence affect the economy and society. Findings: The results suggest that conflicts and violence have rendered serious Socio-economic consequences. Conflicts and violence destroy assets, institutions and brutely disturb the social setup of the country by disturbing the socio-economic progress of the nation. Pakistan has been a victim of conflicts and violence since the day of its independence. Whether it is the migration of refugees in 1947, Pak Indo war of 1965, East Pakistan separation in 1971, post 9/11 war on terrorism, Lal Masjid attack in 2008, PNS Mehran terrorist attack in 2011, or the Peshawar Army Public School attack in 2015, Pakistan has suffered great losses both socially and economically. Implications/Originality/Value: The study has contributed towards better understanding of how conflice and violence has affected the socio-economic structure of Pakistan. Acid attacks, violence against women, child abuse, ethnic polarization, Islamic sectarianism, intolerance, and honor killings are a few of the many heinous acts that have not only affected each member of the society in Pakistan but have also proven to be a threat to each sector of its economy.
Microstructure characterisation and mechanical behaviour of AA 6063 T-6 welded joint by friction stir welding

ABSTRACT Solid-state welding for low-melting point materials is suitable to produce defect-free weld joints. Therefore, in the present work AA 6063 alloy was welded using friction stir welding (FSW) to know the fracture strength of the welded joint along with the microstructural characterisation. The join was made using a tool of cylindrical shape having varied tool shoulder diameter. The qualities of weld joint are evaluated with the existence of weld defects and microstructure, whereas mechanical properties are obtained as tensile strength, bend test and micro-hardness. The hardness of welded samples at the nugget zone is more or less similar for all process parameters and tool shape. Whereas, the bending strength and tensile strength were found to be varied with rotational speed but decrease as a function of transverse speed. The fractured image revealed that the ductility is higher at the lower band angle. Microstructural examination revealed that the grain growth exhibited in the thermo-mechanical affected zone (TMAZ) and heat-affected zone (HAZ).
A bridge too far for artificial intelligence?: Automatic classification of stanzas in Spanish poetry

The rise in artificial intelligence and natural language processing techniques has increased considerably in the last few decades. Historically, the focus has been primarily on texts expressed in prose form, leaving mostly aside figurative or poetic expressions of language due to their rich semantics and syntactic complexity. The creation and analysis of poetry have been commonly carried out by hand, with a few computer‐assisted approaches. In the Spanish context, the promise of machine learning is starting to pan out in specific tasks such as metrical annotation and syllabification. However, there is a task that remains unexplored and underdeveloped: stanza classification. This classification of the inner structures of verses in which a poem is built upon is an especially relevant task for poetry studies since it complements the structural information of a poem. In this work, we analyzed different computational approaches to stanza classification in the Spanish poetic tradition. These approaches show that this task continues to be hard for computers systems, both based on classical machine learning approaches as well as statistical language models and cannot compete with traditional computational paradigms based on the knowledge of experts.
Copolymer‐Templated Nickel Oxide for High‐Efficiency Mesoscopic Perovskite Solar Cells in Inverted Architecture

Despite the outstanding role of mesoscopic structures on the efficiency and stability of perovskite solar cells (PSCs) in the regular (n–i–p) architecture, mesoscopic PSCs in inverted (p–i–n) architecture have rarely been reported. Herein, an efficient and stable mesoscopic NiOx (mp‐NiOx) scaffold formed via a simple and low‐cost triblock copolymer template‐assisted strategy is employed, and this mp‐NiOx film is utilized as a hole transport layer (HTL) in PSCs, for the first time. Promisingly, this approach allows the fabrication of homogenous, crack‐free, and robust 150 nm thick mp‐NiOx HTLs through a facile chemical approach. Such a high‐quality templated mp‐NiOx structure promotes the growth of the perovskite film yielding better surface coverage and enlarged grains. These desired structural and morphological features effectively translate into improved charge extraction, accelerated charge transportation, and suppressed trap‐assisted recombination. Ultimately, a considerable efficiency of 20.2% is achieved with negligible hysteresis which is among the highest efficiencies for mp‐NiOx based inverted PSCs so far. Moreover, mesoscopic devices indicate higher long‐term stability under ambient conditions compared to planar devices. Overall, these results may set new benchmarks in terms of performance for mesoscopic inverted PSCs employing templated mp‐NiOx films as highly efficient, stable, and easy fabricated HTLs.
Genetic and symbiotic characterization of rhizobia nodulating legumes in a mining area in southeast Brazil

ABSTRACT: Identification and selection of nitrogen-fixing bacterial strains for inoculation into native leguminous tree species can assist in the recovery of degraded areas. Additionally, native strains from these areas are genetic resources adapted to these conditions and are thus suitable for selection. The aim of this study was to symbiotically and genetically characterize 18 bacterial strains from the Rhizobium and Bradyrhizobium genera isolated from Machaerium nyctitans, Platypodium elegans, and Ormosia arborea grown in a nursery in an iron mining area. Three experiments were conducted under axenic conditions in a greenhouse. The nodulation capacity of the strains was evaluated by the number (NN) and dry matter (NDM) of nodules. Symbiotic efficiency was evaluated based on the following parameters: SPAD index (SPAD), shoot dry matter (SDM), root dry matter (RDM), and total dry matter (TDM) of the plants, relative efficiency (RE), shoot nitrogen content (SNC), and total nitrogen content in the plant (TNC). The atpD and gyrB housekeeping genes and the nifH gene were sequenced for phylogenetic analysis, and the nodC and nodD symbiotic genes of the strains were amplified. Out of the 18 strains, 16 were authenticated by nodulation capacity in the species of origin. The SPAD variable allowed for the detection of differences between treatments before the SDM. Additionally, the SPAD index showed correlation with TNC, and the strain Bradyrhizobium sp. , UFLA01-839, which may represent a new species, was outstanding in Machaerium nyctitans. The nifH, nodD, and nodC genes were detected in UFLA01-839.
Mixed Methods Evaluation of a Movement and Mindfulness Empowerment Workshop for Adults with Serious Mental Illness

For seriously mentally ill adults, empowerment is critical to maximizing participation in major life activities. Although studies have identified interventions that have positively impacted empowerment, these interventions may not be applicable or amenable to all adults with serious mental illness. More interventions with other approaches are needed. Therefore, this study evaluated the initial implementation of a movementand mindfulness-based workshop intervention. Quantitative data were used to examine differences in empowerment before and after the workshop, and qualitative data were used to explore participants’ perceptions of the reasons for empowerment differences. Ten participants completed the intervention, and nine of the ten participants also completed follow-up interviews. Quantitative data were collected via preand postintervention surveys. Qualitative data were collected through follow-up interviews with the participants. Surveys revealed perceptions of optimism and control over the future increased between preand post-intervention. Interviews uncovered that increases in optimism and control over the future may have been related to workshop accomplishments and reduced helplessness outside of workshop sessions. Future research would benefit from the creation of a training manual along with a validated system to monitor intervention fidelity.
Moral foundations, media exposure, and responses to immigration-related media content

ABSTRACT This study examines the influence of moral foundations on the selection of immigration-related media content and responses to that content post-exposure. Participants (N = 225) chose one news article to read from a selection of six available that were pro-immigration, anti-immigration, or both for-and-against immigration. Some participants’ article selections aligned with their preexisting moral foundations. Those who read articles that were both for-and-against immigration reported strong willingness to listen to others with a different point of view and strong willingness to help immigrants. Implications associated with moral foundations, media exposure, and behavioral intentions post-exposure are discussed.
Two-temperature balance equations implementation, numerical validation and application to H2O–He microwave induced plasmas

Global Models are widely used to study reaction kinetics in low-temperature plasma discharges. The governing conservative equations are simplified into a system of ordinary differential equations in order to provide computationally feasible conditions to study complex chemistries with hundreds of species and thousands of reactions. This paper presents a detailed two-temperature global model for a H2O–He mixture. The model developed in this work uses a statistical thermodynamics approach to solve the heavy particles energy equation self-consistently together with the electron energy and particles balance equations in order to improve the description of reactive plasma environments. Three analytical test cases are presented to validate and demonstrate the capability of this newly developed functionality embedded in PLASIMO software’s [] global model module. The developed H2O–He models are compared with the reported results for a radio-frequency plasma [] and then with experimental measured electron densities and gas temperature for a microwave induced plasma. In addition, conversion and energy efficiencies of hydrogen and hydrogen peroxide productions are compared with experimental values (only for hydrogen) for a pure H2O microwave induced plasma and with available literature results. This comparison underlines the challenges toward finding an optimal plasma configuration and conditions for production of hydrogen from water. The three analytical test cases for validation of the gas-temperature balance implementation in the PLASIMO global model and the detailed developed H2O–He model can be used as benchmarks for other global plasma models. The PLASIMO input files for the presented H2O–He model are available as supplementary materials (https://stacks.iop.org/PSST/30/075007/mmedia); for any future update, please consult the PLASIMO website, https://plasimo.phys.tue.nl.
Justify Your Alpha: A Primer on Two Practical Approaches

The default use of an alpha level of . 05 is suboptimal for two reasons. First, decisions based on data can be made more efficiently by choosing an alpha level that minimizes the combined Type 1 and Type 2 error rate. Second, it is possible that in studies with very high statistical power, p values lower than the alpha level can be more likely when the null hypothesis is true than when the alternative hypothesis is true (i.e., Lindley’s paradox). In this article, we explain two approaches that can be used to justify a better choice of an alpha level than relying on the default threshold of . 05. The first approach is based on the idea to either minimize or balance Type 1 and Type 2 error rates. The second approach lowers the alpha level as a function of the sample size to prevent Lindley’s paradox. An R package and Shiny app are provided to perform the required calculations. Both approaches have their limitations (e.g., the challenge of specifying relative costs and priors) but can offer an improvement to current practices, especially when sample sizes are large. The use of alpha levels that are better justified should improve statistical inferences and can increase the efficiency and informativeness of scientific research.
“People are More than Just a Statistic”: Ethical, Care-based Engagement of Marginalized Publics on Social Media

ABSTRACT The purpose of this qualitative study is to answer calls to examine social media, ethical engagement, and marginalized publics. Findings suggest that strategic communication and public relations professionals ethically engage marginalized individuals on social media by a) embodying an ethic of care emphasizing compassion and respect, b) listening with sensitivity, c) considering marginalized individuals’ unique privacy and anonymity needs, d) ensuring transparency and accuracy of messaging, and e) forging trusting relationships through an embodiment of authenticity. Ultimately, this study suggests that social media practice must continue to advance care-based ethical social media engagement of marginalized publics in ways that relate to them as unique individuals deserving of compassion and empathy – beyond mere codes of ethics or universal, duty-based philosophies.
Harmonics Mitigation of a Solar PV-Fuel Cell Based Microgrid System using a Shunt Active Power Filter

The increased penetration of distributed energy resources is inspiring the entire design of conventional electrical power systems. A Microgrid (MG) includes distributed generation, loads, energy storage, and a control system capable of operating in grid-connected mode and/or island mode. The power quality (PQ) issue is one of the main technical challenges in an MG power system. To improve PQ, it is necessary to analyze the harmonic distortion of the system. Moreover, harmonic distortion in MG networks has significantly reduced PQ, affecting the stability of the system. The shunt active power filter (SAPF) has been extensively used to diminish the current harmonics and verified as being the best solution. Hence, in this paper, the impact of PQ issues in an adopted standalone MG system (comprising solar and fuel cell based renewable energy sources) is investigated in the presence of SAPF. The SAPF is realized using a conventional synchronous reference frame (SRF) technique for current generation with a pulse-width modulation voltage source inverter technique to generate pulses for the inverter along with a PI controller to regulate the DC-link capacitor voltage. The proposed model is developed in MATLAB/SIMULINK and the results validate the superiority of the proposed technique over others in terms of harmonic elimination.
Scientific landscape and trend analysis of keloid research: a 30-year bibliometric review

Background Keloids remain troublesome for clinicians because of the lack of standard therapy, and the underlying mechanisms are still unclear. Bibliometric analysis could be a powerful tool to comprehensively review research trends, evaluate publication performances and provide future perspectives. There is no bibliometric analysis focusing on keloid research. Methods Keloid related publications were searched in Web of Science Core Collection from the publication year 1990 to 2019. Bibliometric data were provided on document type, annual publication number, most productive journals, publication geography, top potential authors, and highly cited articles. The distribution of single words in article titles was analyzed to evaluate the main research focuses and determine their development trends. Word cluster analysis was further performed to detect emerging trends in keloid research. Results The number of annual articles increased from 24 in 1990 to 63 in 2006 and then increased sharply, reaching 139 in 2019. Dermatologic Surgery published the highest number of articles followed by Plastic and Reconstructive Surgery. The USA ranked top with six publication indicators and China had a dramatic increase in the annual number of articles since 2012. Recent research hotspots include underlying pathogenetic mechanisms, keloid treatment, and therapeutic effect evaluation. Discussion Keloids remain a research focus. Efforts will be continuously made to understand the underlying mechanism of keloid formation. Despite many treatment modalities, there is no gold standard for keloid treatment, and many efforts are being made in the exploration of new therapies. Moreover, it is foreseeable that objective measurement tools will have a higher status in the assessment of keloids and scars.
Accuracy in Force Estimation Applied on a Piezoelectric Fine Positioning System for Machine Tools

In order to improve the accuracy of machine tools, the use of additional active modules meeting the requirements of the “Plug & Produce” approach is focused. In this context one approach is the installation of a high precision positioning table for online compensation of machine tool deflections. For the model-based determination of the deflection, the knowledge of the effecting process force is crucial. This article examines the use of displacement sensors for force estimation in a piezoelectric system. The method is implemented on a high precision positioning table applicable in milling machine tools. In order to compensate nonlinear effects of piezoelectric actuators, a hysteresis operator is implemented. Experimental investigations are carried out to quantify the influence of preload stiffness, preload force and workpiece weight. Finally, a resolution d ≤ 78 N could be achieved and further improvements to meet the requirements for online compensation of machine tool deflection are discussed.
Modelo de minería de datos para el análisis de la productividad y crecimiento personal en las mujeres emprendedoras: el caso de la Asociación las Rosas

The research objective was to implement appropriate data mining techniques in the analysis of a social enterprise, considering the question: what are the most appropriate classification models to evaluate the productivity and personal growth of the entrepreneurs of Association las Rosas? Considering social learning related to business growth and personal development. A survey based in systematized information on the characterization of the business and personal development of the sample was taken as a basis; The first model made it possible to establish that productivity was determined by aspects such as the amount of debts that finance the undertakings, as well as the type of financing thereof. The second model established that female entrepreneurs perceive their personal growth and development will take place in the long term.