Miracle-dz/UniFAR-FTUs huggingface dataset:
Speaking Up at Work: The Role of Perceived Organizational Support in Explaining the Relationship Between Perceptions of Organizational Politics and Voice Behavior

Voice is a risky and more challenging type of organizational citizenship behavior in that it is designed to bring about change. Using conservation of resources and social exchange theories, we investigate relationships between voice, perceptions of organizational politics, and perceived organizational support (POS). We also investigate the mediating role of POS in the politics–voice relationship to determine the extent to which POS can explain this relationship. Lagged survey data from supervisor–employee dyads (N = 257) were collected 6 weeks apart. Results show that perceptions of organizational politics were negatively related to voice, while POS was positively related to voice. POS had a mediating effect on the relationship between perceptions of organizational politics and voice. Our results underscore the importance of contextual factors in encouraging or prohibiting voice and may help managers and organizations understand how best to encourage this important change-oriented workplace behavior.
Exploring the Playground: Blockchain Prototype Use Cases with Hyperledger Composer

While the accounting profession determines the possible future impacts of blockchain, universities will need to prepare students for a career using the disruptive technology. This necessitates hands-on training to teach the basics of modeling a blockchain network. Hyperledger is an open source blockchain advancement initiative hosted by The Linux Foundation (IBM n.d.). Hyperledger Composer is a specific Hyperledger project that provides a framework and necessary tools to facilitate new blockchain development. This proposal walks students through three use cases with the outcome of (1) familiarizing them with IBM's Hyperledger Composer (a virtual playground in which they can experiment with numerous blockchains), (2) orienting them to the underlying code that drives blockchains, and (3) improving their technological agility by directing them to manipulate the code and observe the functional effects.
A correlation of plasma malondialdehyde, whole blood glutathione peroxidase and lipid profile in pulmonary tuberculosis

Background: Tuberculosis is one of the commonest chronic infectious diseases; highly endemic in India, kills five lakh patients every year. Oxidative Stress plays important role in inflammatory & degenerative diseases including pulmonary tuberculosis. There is hardly any one study available in literature correlating oxidative stress, lipid profile values and antioxidant status together with the pulmonary tuberculosis; so we decided to conduct this study. Methods: Study group included newly diagnosed 100 cases of pulmonary tuberculosis and control group included 100, age and sex matched healthy volunteers and employees. All the subjects were subjected to complete physical and systemic examinations, routine investigations including Sputum for AFB by Ziehl-Neelsen staining, AFB culture and Chest x-ray and special tests like fasting lipid profile, plasma malondialdehyde, whole blood glutathione peroxidase and findings recorded and statistically analysed. Results: In the study group with 66 males and 34 females, we found total cholesterol mean ± SD 149.16±19.02; Triglycerides 114.36±13.38; HDL-C 36.61±4.17; LDL-C 92.78±13.72; VLDL-C 20.04±2.97; MDA 6.03±1.62 and GPx 6192.9±790.75 while in controls with 61 males and 39 females, these values were 183.51±14.63; 134.52±8.48; 43.46±4.65; 111.98±12.62; 28.95±4.95; 1.79±0.50 and 7739.27±429.80 respectively. Conclusion: Tuberculosis effect more males (66%) than females (34%). TC, TG, HDL-C, LDL-C, VLDL-C and GPx were found statistically significantly lower in study group when compared with control, (p <0.001) while MDA was found significantly higher in study group when compared with control, (p <0.001).
“Opening the Window to a World Wider Than Our Little Classroom”: The Importance of Culturally Relevant Pedagogy

Diversity in today’s classrooms must be considered and valued to create effective learning environments. Through surveys (N=83) and interviews (N=10), this mixed methods study examined in-service elementary teachers’ beliefs about culturally relevant pedagogy (CRP) – more specifically, self-efficacy and outcome expectancy, as related to CRP. Results showed that teachers not only have highly positive outcome expectations for CRP quantitatively, they also explain specific benefits of CRP – relationship building, student achievement, and learning beyond the curriculum. Teachers were efficacious implementing CRP related to general good teaching practices, such as developing relationships and building trust with students. However, they were less efficacious in more culture-specific CRP practices, such as utilizing students’ native languages and evaluating curriculum to ensure the inclusion of various cultural groups. The importance of CRP was described by all teachers, yet their selfefficacy acted as a barrier to implementation.
Characterization and prognostic implications of significant blood loss during intracranial meningioma surgery

Background: Surgery for intracranial meningiomas enables the timely reduction of mass effect and can even be curative; however, it is often accompanied by substantial bleeding. We investigated the risks for significant intraoperative bleeding and the impact of excessive blood loss on the in-hospital outcomes in patients undergoing resection of intracranial meningiomas. Methods: We retrospectively enrolled 99 patients that had undergone intracranial meningioma operation. Significant blood loss during an operation was defined as ≥500 mL blood volume. The cases were divided into two groups: those with (N=60) and without (N=39) significant blood loss. Results: The rate of significant intraoperative bleeding in the 99 patients was 60.6%. In a multivariate logistic regression analysis, the independent risk factors for significant blood loss were the size of tumors (P=0.006) and operative duration (P=0.002). In addition, significant blood loss during meningioma surgery predisposed patients to a higher rate of 30-day medical complications (P=0.001). The duration of postoperative ventilator support, the length of the intensive care unit (ICU) stay, and the length of the hospital stay were significantly prolonged in patients with excessive bleeding (P=0.012, P=0.007, and P Conclusions: In intracranial meningioma surgery, larger tumors and prolonged operations increase the risk of substantial bleeding. Because significant blood loss during meningioma resection is associated with higher incidence of medical morbidities, neurosurgeons would be advised to pay increased attention to this outcome determinant.
The state-as-parent: reframing parent‐child relations in Rwanda

This article attempts to think across and beyond the fields of childhood studies and parenting culture studies by employing postcolonial, relational and temporal lenses to explore child– parent–state relations and how these relations have been constructed, represented and enacted over time. Using the case study of Rwanda, we suggest that the phenomenon of state-asparent functions symbolically and instrumentally to establish state legitimacy and national unity in the aftermath of the 1994 Genocide Against the Tutsi, informed by both the specificities of the Rwandan historical and current contexts, as well as transnational discourses on childhood and parenting. Furthermore, we argue that plural, coexisting and conflicting temporalities are at play in the reframing and reworking of state–parent–child relations, which are also a site for the generation of subaltern forms of temporality to contest the overarching narrative of state-as-parent.
Effective Neutrophil Activation During Innate Immunity: Understanding the Specific Roles of Rac1 and Rac2

Thesis title: Effective neutrophil activation during innate immunity: understanding the specific roles of Rac1 and Rac2 Marco A. O. Magalhaes Graduate department of Dentistry, University of Toronto, 2009 Degree: Doctor of Philosophy Neutrophils migrate rapidly towards a site of inflammation and mediate bacterial killing through highly regulated pathways that involve the phagocytosis of bacteria and the generation of reactive oxygen species by the NADPH oxidase complex. The Rac small GTPases have prominent roles in the regulation of neutrophil signaling pathways but the research strategies used to analyze their functions in live cells have been limited, since neutrophils are terminally differentiated and difficult to manipulate genetically. In this thesis, I describe a novel high efficiency protocol for transiently transfecting neutrophils that allowed me to investigate the roles of Rac1 and Rac2 in neutrophils in a completely new way, in real time. Using this technique, I show that a bacterial protein known to inhibit chemotaxis in vitro, selectively inhibits Rac1 activation downstream of fMLP stimulation and inhibits neutrophils polarization. Further dissecting the roles of Rac isoforms, I used various approaches to show that Rac1 and Rac2 differentially regulate free-barbed end (FBE) formation downstream of the fMLP receptor. Rac1 is responsible for ~30% of FBE whereas Rac2 is the regulator of FBE formation (~70%) through the activation of cofilin and Arp2/3. Finally, these observations led to the analysis of the mechanisms underlying the Rac1 and Rac2 functions. I show that membrane charge determines Rac1 and Rac2 differential localization during phagocytosis and chemotaxis based on their different aminoacid residues in the polybasic domain. This mechanism
Fibromatosis colli in neonates: An ultrasound study of four cases

Fibromatosis colli is a benign swelling involving sternocleidomastoid muscle. It is usually seen in neonatal age group. The history of prolonged labor or difficult delivery may be present in many cases. The presentation usually is asymptomatic neck swelling or mass in neonates. In some cases, torticollis may be present. The diagnosis is usually done by ultrasound which may typically show fusiform and thickened sternocleidomastoid muscle on the affected side. We hereby report four cases of fibromatosis colli presenting in the neonatal period. All of them presented with neck swelling and were diagnosed to be having fibromatosis colli on ultrasound.
Sepsis and septic shock: a practical management according to Sepsis-3 diagnostic criteria

The reliable identification of patients suffering from sepsis and septic shock is not simple because there is no gold standard diagnostic test.2 Indeed, the diagnosis of sepsis requires clinicians to interpret a number of nonspecific physiological and laboratory abnormal findings among patients with suspected or definite infection.3,4 Moreover, to make the diagnosis of severe sepsis, clinicians need to understand whether a patient has an infection and an acute or chronic organ dysfunction, and if the two events are related. All these evaluations can be subjective and clinicians might differ in their judgments. As a consequence of this background, there is a significant variability in how clinicians diagnose sepsis and this inhomogeneity has important implications for clinical care, epidemiologic and clinical studies, public health surveillance, pay-for-performance initiatives, and quality improvement programs.5 In last February 2016 the Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3) has been published, in that consensus paper, sepsis was defined by the authors as life-threatening organ dysfunction caused by a deregulated host response to infection. A fundamental step in the new definition for sepsis and septic shock is still the demonstration of an underlying infection, for which we refer to other chapters in this monograph, but we strongly support the use of focused ultrasonography. According to this formulation sepsis is defined as evidence of infectious disease accompanied by organ dysfunction, considering that even a low degree of organ dysfunction related to an infectious disease (suspected or confirmed) can deteriorate further, and needs a prompt and appropriate diagnosis and intervention (antimicrobials and supportive cares) because it is associated with an higher in-hospital mortality. Certainly, nonspecific SIRS criteria such as fever, hypothermia, tachycardia, or change in white blood cells count will continue to help in diagnosing infections, but they are extremely nonspecific and widespread in hospitalized patients both related and not related to infections. Moreover, using these new criteria in clinical practice, the definition severe sepsis becomes superfluous because even patients presenting with modest dysfunction can worsen, emphasizing the severity of this condition and the need for adequate interventions, if not already initiated.6
Factors Influencing Recovery of Micro- organisms from Surfaces by Use of Traditional Hygiene Swabbing

SUMMARY Although swabbing is widely used in hygiene monitoring and as a reference point for evaluating new methods, information is lacking with regard to the variables affecting the accuracy of the swabbing technique. A systematic evaluation of the individual components of the swabbing procedure — removal of bacteria from a surface, release of bacteria from the swab, and overall bacterial recovery — was conducted. Stainless steel squares were inoculated with known levels of bacteria and were sampled using different swab types and swab-wetting solutions. Increasing the amount of mechanical energy generated during swabbing significantly increased (P 0.05) of overall bacterial recovery. The results of this study have been used to recommend ways in which the traditional swabbing protocol could be improved. However, the results also illustrate why traditional microbiology should not be presumed to be either the ‘gold standard’ or the optimum means for monitoring surface cleanliness.
Unequal Reward for Equal Work? Understanding Women’s Work and Wage Discrimination in India Through the Meniscus of Social Hierarchy

The Indian society is one of the most unequal societies of the world and divided into different social hierarchies of caste, class, religion, etc. Caste is a determinant of power, economic inequality, poverty and discrimination in contemporary India. When it comes to women, they face the dual burden of discrimination, first gender based and, second, caste based. The practice of discrimination persists between Dalit/tribal and upper-class women, but still, Dalit women are trying to come out of this unequal treatment. Hence, this study investigates the magnitude of discrimination among women workers in terms of the social hierarchy and relative factors responsible for workforce discrimination. Furthermore, this study examines the extent of wage differential between Dalit/tribal and upper-class women workers. The study has used the data of the 50th Employment and Unemployment Survey to the Periodic Labour Force Survey (PLFS) from 1993–1994 to 2017–2018 by the National Sample Survey Office (NSSO). In the first part of the analysis, this study explains how and why the women workforce is decreasing, particularly as far as Dalit/tribal women are concerned. Subsequently, the relative contributions of socio-economic conditions in the women workforce have been assessed using logistic regression. However, the second part of the study examines the wage differential between general and Dalit/tribal women and the extent of wage discrimination using the Oaxaca–Blinder decomposition method. The study reveals that the women workforce has been consistently declining and the vulnerability is intense among Dalit/tribal women. Furthermore, it has been observed that the social hierarchy (caste) is a decisive factor for the remuneration (wage) in the labour market and over the period of study, the wage discrimination between Dalit and upper-caste women has significantly increased.
Learning the Time-Varying Massive MIMO Channels: Robust Estimation and Data-Aided Prediction

The quasi-static assumption of channels becomes invalid in a number of emerging applications of massive multiple-input multiple-output (MIMO) systems with high base station (BS)/user mobility, such as high speed train and unmanned aerial vehicle communications. In these situations, the time variation of channels shortens the channel coherence time and decreases the efficiency of traditional channel estimation schemes significantly. This paper focuses on the time-varying channel estimation problem in massive MIMO systems, where the mobility of BS/user is assumed to be high. The sparse property of the time-varying massive MIMO channels is analyzed, which reveals that the angular domain channels exhibit two kinds of spatial-temporal sparse (STS) structures, namely the temporal-common sparse structure and spatial-clustered sparse structure. By exploiting the STS structures, a novel structured variational Bayesian inference (VBI) framework is formulated to make a robust channel estimation during the training phase. A data-aided channel predication scheme is further proposed to combat the time variation of the channels during the data transmission phase without increasing the pilot consumption. The simulation results demonstrate the superiority of the proposed scheme in the time-varying scenarios with different BS/user mobilities.
Corporate tax avoidance and mutual fund ownership

We document evidence that mutual funds, on average, are averse to investing in tax-avoiding firms, which seems anomalous given the potential for two likely motives. Mutual fund managers’ compensation incentives may lead them to prefer tax-avoiding firms, or the fact that mutual funds are well-diversified may lead to managers’ indifference. A less obvious motive, and one consistent with our results, is that mutual funds focus on decreasing their tax information processing costs. Our results remain similar when we address endogeneity concerns using several methods, including difference-in-differences and matching methodologies, and after running numerous robustness checks.
Spatiotemporal patterns induced by delay and cross‐fractional diffusion in a predator‐prey model describing intraguild predation

In this article, we study a reaction‐diffusion predator‐prey model that describes intraguild predation. We mainly consider the effects of time delay and cross‐fractional diffusion on dynamical behavior. By using delay as the bifurcation parameter, we perform a detailed Hopf bifurcation analysis and derive the algorithm for determining the direction and stability of the bifurcating periodic solutions. We also demonstrate that proper cross‐fractional diffusion can induce Turing pattern, and the smaller the order of fractional diffusion is, the more easily Turing pattern is able to occur.
Research on Temperature and Humidity Decoupling Control of Constant Temperature and Humidity Test Chamber

The temperature and humidity system is a system commonly used in industry and is recognized as one of the most complex systems. Temperature and humidity are important parameters for improving production quality in industrial production. To carry out effective control, factors such as nonlinearity, large hysteresis and real-time change must be considered, and there is mutual coupling between temperature and humidity. Temperature change will lead to humidity. The change of humidity and the same change of temperature will also affect the temperature change. The positional PID control can achieve satisfactory results. In this paper, through the analysis of the temperature and humidity system model, the feedforward decoupling compensation method is adopted for the characteristics of the temperature and humidity control system, which provides an effective way for the modeling and control of the temperature and humidity system. The simulation results show that the feedforward decoupling controller designed in this paper can achieve satisfactory results under various experimental conditions.
SVM Model Selection Using PSO for Learning Handwritten Arabic Characters

: Using Support Vector Machine (SVM) requires the selection of several parameters such as multi-class strategy type (one-against-all or one-against-one), the regularization parameter C, kernel function and their parameters. The choice of these parameters has a great influence on the performance of the final classifier. This paper considers the grid search method and the particle swarm optimization (PSO) technique that have allowed to quickly select and scan a large space of SVM parameters. A comparative study of the SVM models is also presented to examine the convergence speed and the results of each model. SVM is applied to handwritten Arabic characters learning, with a database containing 4840 Arabic characters in their different positions (isolated, beginning, middle and end). Some very promising results have been achieved.
Energy Minimization of Multi-Cell Cognitive Capacity Harvesting Networks With Neighbor Resource Sharing

In this paper, we investigate the energy minimization problem for a cognitive capacity harvesting network (CCHN), where secondary users (SUs) without cognitive radio (CR) capability communicate with CR routers via device-to-device (D2D) transmissions, and CR routers connect with base stations (BSs) via CR links. Different from traditional D2D networks that D2D transmissions share the resource of cellular transmissions in the same cell, we consider the scenario that D2D transmissions share the uplink cellular frequency bands (CFBs) of neighbor cells. To ensure that the transmissions from SUs do not affect the transmissions for the cellular users (CUs) in the neighbor cells, an inter-cell handshake process is proposed. We formulate the energy minimization problem for SUs as a mixed integer non-linear programming (MINLP). To solve this problem, we decompose it into two nested subproblems: a transmit power optimization subproblem and a CR router and uplink CFB selection subproblem. For the first subproblem, it is proved to be convex, and thus can be efficiently solved. For the second subproblem, we propose a two-level nested game theoretic approach to finding its solution. Simulation results show that the proposed algorithms can significantly improve the performance. With the help of CR routers/the neighbor resource sharing, the energy consumption for SUs can be saved around 30%-37% on average.
A review on Indonesian machine translation

Nowadays, machine translation has important role in general communication. The need for machine translation system is higher in this era, resolving culture and nation boundary. Finding correct and optimal translation is not an easy task in language processing. Several machine translation system already exists, but the quality of the translation needed to be improved further. This paper discusses machine translation researches that involve Indonesian language to the other languages by systematic literature review. This paper exposes different approaches and tools for machine translation. The approaches also use various evaluation methods to measure the performance. Moreover, this paper proposes several future works to improve the machine translation quality of Indonesian to the other languages. The review results show that the attention-based approach is being increasingly used to improve the performance of neural machine translation. The translation performance quality depends on the number of the corpus, well-behaved aligned corpus, and the technique used.