Miracle-dz/UniFAR-FTUs huggingface dataset:
Revisiting the Missing Theories of Organizational Justice

Organizational justice (OJ) literature focuses on the well-established theories of OJ dimensions (distributive, procedural, interpersonal, and informational justices) and the relative significance of different OJ dimensions on dependent variables (Ambrose & Schminke, 2009). However, literature suggest an equal focus on relevant missing theories of justice to have a complete understanding of this concept. The researchers assume that the inclusion of relevant missing theories in their respective OJ dimensions would yield better results. They used two data sets to test this assumption. One data set, include well-established theories using Colquitt (2001) scale, while the second data set include well-established theories along with the relevant missing theories, such as, external equity, equality, and need etc. They concluded that with the incorporation of relevant missing theories in their respective OJ dimensions; overall, results improved in terms of diagnostic statistics including specifically t-statistics (p-values), F-statistics and R2; however, missing theories claim has not been substantiated.
COVID-19 Vaccine Acceptance and Its Determinants among Migrants in Germany—Results of a Cross-Sectional Study

Vaccinations are a core element of infection control. Migrants have been reported to have low vaccination rates for many infectious diseases, including COVID-19. Still, determinants of migrants’ uptake of COVID-19 vaccinations are not sufficiently clear. The present study addresses this gap and examines the respective influence of three potential determinants: barriers to access, attitude towards vaccinations in general, and towards COVID-19 vaccines. The study uses a cross-sectional online survey among migrants in Germany. The questionnaire assessed the aforementioned determinants using standardized tools. Information on 204 individuals was available. The vaccination rate in the sample was 80%. Vaccinated as compared to unvaccinated respondents reported more often the absence of financial barriers (71% (95%CI: 64–73%) vs. 45% (95%CI: 28–63%)), short waiting times (51% (95%CI: 43–59%) vs. 22% (95%CI: 5–38%)), and the presence of a vaccination center close-by (91.5% (95%CI: 87–96%) vs. 69.7% (95%CI: 54–85%)). Concerning COVID-19 vaccine acceptance, the majority of respondents (68%) agreed that the vaccine is important. Unvaccinated respondents more often feared side effects, were convinced that the vaccine is not safe, and assumed that COVID-19 is not dangerous. Correspondingly, acceptance of vaccinations in general was higher among vaccinated respondents. In line with findings from previous studies, our survey found that all three determinants seem to influence migrants’ vaccination status while their overall vaccination rate was comparable to the general population. Hence, migration background per se does not sufficiently explain vaccine acceptance and further research is needed to identify subgroups of migrants that should be specifically addressed to increase their vaccination rate.
Management of Recurrent Meningiomas: State of the Art and Perspectives

Simple Summary Intracranial meningiomas account for 30% to 40% of the primary lesions of the central nervous system. Surgery is the mainstay treatment whenever symptoms related to an intra-cranial meningioma are encountered. However, the management of recurrences after initial surgery, which are not uncommon, is still a matter of debate. Here, we present the alternatives described in the management of meningioma recurrence (radiotherapy, stereotaxic radiosurgery, protontherapy, and chemotherapy, among others). Their overall results are compared to surgery and future perspectives are presented. Abstract Background: While meningiomas often recur over time, the natural history of repeated recurrences and their management are not well described. Should recurrence occur, repeat surgery and/or use of adjuvant therapeutic options may be necessary. Here, we summarize current practice when it comes to meningioma recurrence after initial surgical management. Methods: A total of N = 89 articles were screened. N = 41 articles met the inclusion criteria and N = 16 articles failed to assess management of meningioma recurrence. Finally, N = 24 articles were included in our review. Results: The articles were distributed as follows: studies on chemotherapy (N = 14), radiotherapy, protontherapy, and stereotaxic radiosurgery (N = 6), boron-neutron capture therapy (N = 2) and surgery (N = 3). No study seems to provide serious alternatives to surgery in terms of progression-free and overall survival. Recurrence can occur long after the initial surgery and also affects WHO grade 1 meningiomas, even after initial gross total resection at first surgery, emphasizing the need for a long-term and comprehensive follow-up. Conclusions: Surgery still seems to be the state-of-the-art management when it comes to meningioma recurrence, since none of the non-surgical alternatives show promising results in terms of progression-free and overall survival.
Symmetric Engineered High Polarization-Insensitive Double Negative Metamaterial Reflector for Gain and Directivity Enhancement of Sub-6 GHz 5G Antenna

A symmetric engineered high polarization-insensitive double negative (DNG) metamaterial (MM) reflector with frequency tunable features for fifth-generation (5G) antenna gain and directivity enhancement is proposed in this paper. Four identical unique quartiles connected by a metal strip are introduced in this symmetric resonator that substantially tunes the resonance frequency. The proposed design is distinguished by its unique symmetric architecture, high polarization insensitivity, DNG, and frequency tunable features while retaining a high effective medium ratio (EMR). Moreover, the suggested patch offers excellent reflectance in the antenna system for enhancing the antenna gain and directivity. The MM is designed on a Rogers RO3010 low loss substrate, covering the 5G sub-6GHz band with near-zero permeability and refractive index. The performance of the proposed MM is investigated using Computer Simulation Technology (CST), Advanced Design Software (ADS), and measurements. Furthermore, polarization insensitivity is investigated up to 180° angles of incidence, confirming the identical response. The 4 × 4 array of the MM has been utilized on the backside of the 5G antenna as a reflector, generating additional resonances that enhance the antenna gain and directivity by 1.5 and 1.84 dBi, respectively. Thus, the proposed prototype outperforms recent relevant studies, demonstrating its suitability for enhancing antenna gain and directivity in the 5G network.
Approximation theory for linear-quadratic-Guassian optimal control of flexible structures

This paper presents approximation theory for the linear-quadratic-Gaussian optimal control problem for flexible structures whose distributed models have bounded input and output operators. The main purpose of the theory is to guide the design of finite-dimensional compensators that approximate closely the optimal compensator, which is infinite-dimensional. Design of the optimal compensator separates into an optimal linear-quadratic control problem and a dual optimal state estimation problem; the solution to each problem lies in the solution to an infinite-dimensional Riccati operator equation. The approximation scheme in the paper approximates the infinite-dimensional LQG problem with a sequence of finite-dimensional LQG problems defined for a sequence of finite-dimensional, usually finite-element or modal, approximations of the distributed model of the structure. Two Riccati matrix equations determine the solution to each approximating problem.The finite-dimensional equations for numerical approximation .
GR-ConvNet v2: A Real-Time Multi-Grasp Detection Network for Robotic Grasping

We propose a dual-module robotic system to tackle the problem of generating and performing antipodal robotic grasps for unknown objects from the n-channel image of the scene. We present an improved version of the Generative Residual Convolutional Neural Network (GR-ConvNet v2) model that can generate robust antipodal grasps from n-channel image input at real-time speeds (20 ms). We evaluated the proposed model architecture on three standard datasets and achieved a new state-of-the-art accuracy of 98.8%, 95.1%, and 97.4% on Cornell, Jacquard and Graspnet grasping datasets, respectively. Empirical results show that our model significantly outperformed the prior work with a stricter IoU-based grasp detection metric. We conducted a suite of tests in simulation and the real world on a diverse set of previously unseen objects with adversarial geometry and household items. We demonstrate the adaptability of our approach by directly transferring the trained model to a 7 DoF robotic manipulator with a grasp success rate of 95.4% and 93.0% on novel household and adversarial objects, respectively. Furthermore, we validate the generalization capability of our pixel-wise grasp prediction model by validating it on complex Ravens-10 benchmark tasks, some of which require closed-loop visual feedback for multi-step sequencing.
Durum Wheat Fresh Pasta Fortification with Trub, a Beer Industry By-Product

Trub is a brewing by-product rich in proteins and fibers. We used trub, after a debittering step, at 5, 10, and 15 g/100 g (PT5, PT10, and PT15, respectively) to fortify durum wheat fresh pasta. Technological and physical–chemical properties, in vitro digestibility, and sensorial characteristics of fortified pasta were determined. The technological aspects of the products were peculiar, suggesting the existence of complex interactions between the gluten network and starch with debittered trub powder. The fortified pasta samples showed a lower glucose release than the control at the end of in vitro starch hydrolysis. Furthermore, in vitro protein digestion rose only in PT15. PT5 and PT10 samples overcame the sensory acceptability threshold of 5, while PT15 showed the lowest acceptability. Debittered trub represents a suitable ingredient in fortified fresh pasta formulation with an up to 10% substitution level without compromising the quality and sensory characteristics of the final product.
WORKING TOWARDS ALGEBRA: THE IMPORTANCE OF RELATIONAL THINKING

Algebra has become a building block for success in mathematics. Our argument in this paper is that, in order to allow students to properly develop their understanding of algebra, solid foundations need to be laid during elementary and junior secondary school years through experiences with number operations and the key ideas of equivalence and compensation. These foundations are broadly described by the term relational thinking. In this exploratory study of the mathematical thinking of a selection of Year 7 and Year 8 students in Brazil, we found that when students were asked to solve numerical expressions using four arithmetic operations, most students opted for computational methods. However, when required to show relational thinking, most students did so, but clearly needed further support in this respect. PALABRAS CLAVE: - Pensamiento algebraico - Pensamiento relacional - Justificacion - Reforma del programa - Implicaciones para la ensenanza
Institutional trust paradox: understanding the dynamics of trust among different ethnic groups in Sri Lanka

ABSTRACT The article explores institutional trust dynamics in Sri Lanka and asks what accounts for varying levels of trust different ethnic groups have in governance institutions in the post-war context. Three decades of ethnic conflict, the emergence of ethno-religious polarisation since the end of civil war, militarised ethnocracy, and the majoritarian ethnocratic state all highlight the need to understand these dynamics. The article presents the results of twonationally representative surveys on institutional trust in Sri Lanka (2015 & 2020), which showed a puzzling trend: in 2015, minorities had higher trust in public institutions, whereas, in 2020, the same minorities had lower trust. The study finds that citizens’ evaluation of public institutions is affected by ethnic cleavages, institutional fairness, and perceived performance. On the one hand, Sinhala–Buddhist ideology and dominance of ethnic majority in public institutions are more likely to determine institutional trust among the ethnic majority Sinhalese; on the other, perceived injustice and unfair treatment shapes institutional trust among the ethnic minorities. Overall, the study finds that an increase in institutional performance may not be sufficient; institutionalising equal treatment, fairness, and enhancing governance quality are necessary to enhance institutional trust among all ethnic groups in ethnically polarized societies.
Global Value Chains and Local Inter-Industry Linkages: South Africa’s Participation in the Automotive GVC

Abstract International trade in the 21st century operates through global value chains (GVCs). There is a growing literature on how the emergence of GVCs has changed the playing field for catch-up industrialization of developing countries. Inter-industry linkages have historically been a central aspect of catch-up industrialization. How such linkages on the country level are affected by the reality that trade is conducted via GVCs is an important research question. This paper synthesizes the theoretical elaborations on inter-industry linkages from the classic development economics literature with secondary empirical data from the East Asian industrialization experience to illustrate the importance of inter-industry linkages for the industrialization process. Using primary data from the South African automotive industry, the paper shows how the dynamics of the automotive GVC have affected domestic inter-industry linkage building in the country. The backward linkages to the domestic component manufacturing industry and to the domestic materials industries from South Africa’s successful integration into the automotive GVC have been disappointing. Both local policy decisions as well as GVC-specific dynamics of follow sourcing and the proliferation of manufacturing technologies and material standards have undermined more substantial backward linkages from exports of automobiles.
Visualization and Heat Transfer Performance of Mini-Grooved Flat Heat Pipe Filled with Different Working Fluids

Mini-grooved flat heat pipe (MGFHP) possesses the advantages of high compactness, no mechanical component, super thermal conductivity, and excellent temperature uniformity, which can meet the demand for electronic devices efficiently cooling. In this research, visual and heat transfer experiments were performed to investigate the flow and thermal characteristics inside the MGFHP. Fluid flow and distribution are observed to be quite different in the MGFHP containing different working fluids, which is affected by the physical properties of working fluid, the surface state of the grooved wick, and limited working space. Additionally, the input heat, working fluid type, filling ratio, and wettability obviously affect the thermal conductivity and temperature uniformity of the MGFHP. The deionized water-filled MGFHP possesses lower thermal resistance and higher heat transfer capacity than anhydrous ethanol or hexane filled MGFHP, especially for the copper oxide MGFHP filled with deionized water with a filling ratio of 1.0. Thermal resistance, maximum temperature, and temperature nonuniformity at the condensation section of deionized water-filled copper oxide MGFHP are lower than those of the original copper MGFHP by 31.1%, 3.7 °C, and 0.11 °C for the anhydrous ethanol filled MGFHP and 34.4%, 3.1 °C, and 0.13 °C for the hexane filled MGFHP, respectively.
Measurement of the fluidic resistance of the MicroMED optical particle counter

The Optical Particle Counter MicroMED will be part of the ExoMars 2022 mission in the Dust Complex Suite, a suite of sensors mounted on the Kazachok Surface Platform. One of the main goals of the ESA/Roscosmos ExoMars program is the study of the Martian surface environment characteristics through the analysis of the atmosphere and climate, and the MicroMED will perform within this framework the first-ever direct measurement at the Martian surface of the airborne dust. The flight model was delivered at Thales Alenia Space premises in the initial of 2020 to allow integration with the Dust Complex Suite, but accurate calibration of the instrument performances is still ongoing on different models, i.e. a flight spare, and mockups manufactured within the project framework. The present work describes the measurement of the fluidic resistance of an instrument mockup in low-pressure simulating operative conditions of the mission. The measured fluidic resistance is of primary importance to recover the flow rate through the instrument from the pressure drop measurement at the instrument optical head. The latter parameter will be available on the flight model as well, to derive an indirect measurement of the flow rate during the operative phases on Mars and thus measure the dust probability distribution during the instrument science campaigns.
Rapamycin Alleviates 2,4,6-Trinitrobenzene Sulfonic Acid-Induced Colitis through Autophagy Induction and NF-κB Pathway Inhibition in Mice

Background Recent genetic studies indicated that variants of autophagy genes were associated with the predisposition of Crohn's disease (CD). The autophagy deficiency may affect the innate and adaptive immunity, which is related to persistent and excessive inflammation of the bowel. However, it remains unclear how autophagy modulates the expression of immune response regulator NF-κB and proinflammatory cytokine TNF-α in CD. Aim We aimed to investigate the role of rapamycin on the expression of NF-κB p65 and TNF-α in 2, 4, 6-trinitrobenzene sulfonic acid (TNBS)-induced mouse colitis and lipopolysaccharide (LPS)-induced HT-29 cells. Methods TNBS-induced colitis mice were treated with saline or rapamycin, and the disease activity index (DAI) and histological scores of colonic mucosa were evaluated. The expressions of p65, ATG16L1 and LC3 were detected by western blot and immunohistochemistry staining. The monodansylcadaverine (MDC) staining and transmission electron microscopy were developed to study the autophagy in LPS-induced HT-29 cells. Expression of TNF-α from colon tissue and HT-29 cells were detected by ELISA. The expressions of p65, ATG16L1 and LC3 in active CD patients were also investigated. Results Significantly more autophagosomes were observed in rapamycin-treated cells than in controls. Rapamycin remarkably upregulated the expression of ATG16L1 and LC3II, inhibited p65 nucleus translocation and secretion of TNF-α both in vivo and in vitro. The expression of both ATG16L1 and LC3II increased in mild to moderate CD specimens, while no significant difference was noted between severe CD and normal controls. The expression of p65 increased notably in severe CD compared to those in mild to moderate patients. Conclusions In LPS-treated HT-29 cells and TNBS-induced colitis, p65 is overexpressed, which results in exaggerated secretion of TNF-α and induce or worsen the inflammation in the bowel. Rapamycin protects against colitis through induction of autophagy, thus inhibiting the activation of NF-κB pathway and secretion of TNF-α.
Sustainability communication and evaluation: A practice-based case study on British-Egyptian universities value-chain

Purpose – The purpose of this paper is to explore and analyse sustainability management practices carried out in a British university then develop ‒for its Egyptian university partner‒ adapted strategy map and balanced scorecard to communicate and evaluate its sustainability performance. Methodology – This study used a strategic management approach in communicating and evaluating sustainability in higher-education. After reviewing the relevant interdisciplinary literature, the authors used a qualitative case-study approach (depth face-to-face interviews and focus group with subject-matter-experts in this higher-educational value-chain) to develop quantitative assessment tool. – The current findings provide university leaders/academics with fruitful insights about effective sustainability management; thus, satisfying their stakeholders’ needs in terms of social, environmental and economic gains. Originality/value – From an interdisciplinary perspective, it conceptually integrates the literature of sustainability management, higher-education for sustainable development, and strategic education management while developing a practical assessment tool for an emerging market. Responsible
Uncertainty about Rater Variance and Small Dimension Effects Impact Reliability in Supervisor Ratings

ABSTRACT We modeled the effects commonly described as defining the measurement structure of supervisor performance ratings. In doing so, we contribute to different theoretical perspectives, including components of the multifactor and mediated models of performance ratings. Across two reanalyzed samples (Sample 1, N ratees = 392, N raters = 244; Sample 2, N ratees = 342, N raters = 397), we found a structure primarily reflective of general (>27% of variance explained) and rater-related (>49%) effects, with relatively small performance dimension effects (between 1% and 11%). We drew on findings from the assessment center literature to approximate the proportion of rater variance that might theoretically contribute to reliability in performance ratings. We found that even moderate contributions of rater-related variance to reliability resulted in a sizable impact on reliability estimates, drawing them closer to accepted criteria.
Effect of Chemical Treatment of Multi-walled Carbon Nanotubes on the Capacitance of Supercapacitors

In this paper, the effect of different acids on the change of specific capacitance of multi-walled carbon nanotubes was investigated. Fourier transform infrared spectroscopy spectra, which showed the formation of different oxygen-containing groups on the surface of carbon nanotubes in the range of $1000-1750 cm^{-1}$ were presented. Samples of multi-walled carbon nanotubes treated in hydrochloric acid possessed the highest degree of functionalization. MWNTs treated in dilute nitric acid were barely functionalized. It was found that the specific surface area of the studied samples decreased when treated with sulfuric acid, but there was no dependence of the change of specific capacitance on the surface area. The cyclic voltammetry curve of the sample with the the specific capacitance of MWNT samples was the highest at 55 F g-1 when treated with nitric acid. Additional physicochemical analyses need to be done in order to explain the change of specific capacitance of samples treated with nitric acid.
Audio Segmentation Techniques and Applications Based on Deep Learning

Audio processing has become an inseparable part of modern applications in domains ranging from health care to speech-controlled devices. In automated audio segmentation, deep learning plays a vital role. In this article, we are discussing audio segmentation based on deep learning. Audio segmentation divides the digital audio signal into a sequence of segments or frames and then classifies these into various classes such as speech recognition, music, or noise. Segmentation plays an important role in audio signal processing. The most important aspect is to secure a large amount of high-quality data when training a deep learning network. In this study, various application areas, citation records, documents published year-wise, and source-wise analysis are computed using Scopus and Web of Science (WoS) databases. The analysis presented in this paper supports and establishes the significance of the deep learning techniques in audio segmentation.