Miracle-dz/UniFAR-FTUs huggingface dataset:
Short Term Stock Price Prediction in Indian Market: A Neural Network Perspective

In recent times there has been an increasing level of debate whether patterns do exist in equity market movements and whether they can be predicted. In order to overcome the shortcomings of traditional time series models, we have focused our study on the application of non-parametric paradigms like stacked multi-layer perceptrons (MLP), long short term memory (LSTM), gated recurrent unit (GRU), bidirectional long short term memory (BLSTM) and gated bidirectional recurrent unit (BGRU) on three NSE listed banks to predict short term stock price, and compared their performance with a shallow neural network benchmark. We have predicted equity ‘Close Prices’ five minutes into the future, using a sliding window approach and have observed that average error in predictions of MLP, LSTM, GRU, BLSTM and BGRU models, varied between 0.09% and 0.1%, indicating their superior performance with regard to benchmark baseline of 0.88%. We have used the aforementioned predictions to determine price trends, which successfully outperformed the random walk baseline accuracy of 50%. JEL Classification: C45, C58, G11, G14
The Impact of Collective Psychological Ownership on Turnover Intention Among Social Service Workers

ABSTRACT The aim of this study is to incorporate collective psychological ownership (CPO) as psychological resources into the job demands-resources (JD-R) model and investigate the impact of CPO on turnover intention among social service workers. Using an online survey platform, a sample of 761 valid questionnaires was collected from full-time social service workers from 40 social service organizations in Guangdong, a coastal province in Southeast China. Controlling for psychosocial correlates of turnover intention in the JD-R model (i.e. job demands, job resources, burnout, and work engagement) as revealed by prior studies, ordinal logistic regression analyses indicated that CPO was negatively associated with turnover intention. The effects of CPO on turnover intention may inspire more discussion on incorporating psychological resources into the JD-R model for explaining turnover intention in organizational contexts and have important implications for retaining manpower in value-driven human-helping professions in particular. (142 words)
Validity and fairness of utilising student evaluation of teaching (SET) as a primary performance measure

ABSTRACT In a super-saturated world of academia, the real power has slowly moved from academics’ ownership of their own means of production to a more managerial ethos, with all the accompanying control systems, surveillance, bureaucracy, performance audits and judgements that that entails. Student evaluation of teaching (SET) has become a significant evaluation tool, focusing on front-line contact and quality of teaching, allowing students to make that judgement call. This leaves out a large part of the picture of how institutions are managed and function, putting the onus on the academic and their relationship with students, teaching capability and cohort results. This leads to a sense of unfairness and poses questions about the validity and reliability of judgement calls based on student evaluation of teaching data and subsequent fairness in reward and recognition. This work considers the perceptions of Jordanian academic staff in a private institution of the use of SET as a summative tool for performance appraisal. This research has confirmed that the use of SET as a dominant, if not sole, factor in judging performance can extenuate academic stress. Thus SET results need to be used in a measured way.
Population‐specific resilience of Halophila ovalis seagrass habitat to unseasonal rainfall, an extreme climate event in estuaries

Extreme climate events are predicted to alter estuarine salinity gradients exposing habitat‐forming species to more frequent salinity variations. The intensity and duration of these variations, rather than the mean salinity values ecosystems are exposed to, may be more important in influencing resilience but requires further investigation. Precipitation, including the frequency, intensity and timing of occurrence, is shifting due to climate change. A global analysis on the timing of rainfall in estuarine catchments was conducted. In 80% of the case studies, the maximum daily rainfall occurred in the dry season at least once over the 40‐year period and could be classified as an extreme event. We selected an estuary in southwestern Australia and investigated the effects of an extreme rainfall event in 2017 resulting in an excess discharge of freshwater on seagrass Halophila ovalis. Adapting an approach applied for marine heatwaves using salinity data, we quantified metrics and characterised the event along the estuarine gradient. We assessed seagrass resilience by calculating resistance times based on the comparisons of biomass and leaf density data prior to, and during the event, and recovery times through assessment against historical condition. Where salinity is historically more variable, reductions in biomass were lower (higher resistance via plasticity in salinity tolerance) and meadows recovered within 9–11 months. Where salinity is historically more stable, loss of biomass was greatest (low resistance) post‐event and recovery may exceed 22 months, and potentially due to the rapid decline in salinity (−3 PSU/day). As estuaries become more hydrologically variable, these metrics provide a baseline for retrospective and future comparisons. Our results suggest seagrass resilience to hyposalinity is population specific. This understanding enables more accurate predictions about ecological responses to climate change and identifies which populations may ‘future proof’ ecosystem resilience. Synthesis. Following an extreme rainfall event, we found seagrass populations that are exposed to variable salinities recovered while those from a stable salinity environment were unable to recover within the study time frame. These findings expand upon existing evidence, derived primarily from other ecosystems, that show new sources of resilience may be uncovered by accounting for between‐population variation.
How perceptions of relationship investment influence customer loyalty: the mediating role of perceived value and the moderating role of relationship proneness

ABSTRACT The importance of relationship marketing (RM) as a strategic driver of strong long-term customer relationships is widely recognized. However, we still know little about when retail managers should invest in relationships to generate increased returns. Drawing on RM theory, this study aims to examine how perceived relationship investment (PRI) influences customer loyalty through the mediation of perceived value in a retail setting. It also explores the moderating role of consumer relationship proneness (RP) in the PRI–perceived value relationship. This study empirically assessed the theoretical model using a partial least squares structural equation modeling (PLS-SEM) approach. The results reveal that PRI directly influences perceived value and customer loyalty. Perceived value mediates the effect of PRI on customer loyalty. RP moderates the PRI effects. Based on these results, retail managers can develop strong long-term relationships by directing their efforts toward relationship-prone consumers in order to enhance perceptions of relationship investment, which leads to enhanced perceptions of value, thus improving customer loyalty.
The symbiotic tensions of the regulatory–carceral state: The case of cannabis legalization

Recent scholarship has emphasized the need to develop a polymorphic conceptualization of the regulatory state. This article contributes to this theory-building project by outlining a research agenda for exploring the symbiotic interactions and tensions between the regulatory and carceral morphs of the state. Using the case study of cannabis legalization reforms in the United States, we argue that the legitimation de ﬁ cits of the carceral state stimulate the proliferation of new regulatory frameworks for governing social problems that were traditionally handled by the criminal justice system. We demonstrate how the polymorphic approach illuminates the ways in which the regulatory and carceral morphs of the state compete for in ﬂ uence over shared policy domains, but also complement and reinforce one another. Thus, rather than precipitating the demise of the carceral state, cannabis legalization reforms sustain a bifurcated governance structure perpetuating long-standing patterns of using drug law as a means for racialized social control.
Reducing noise in computed correlation functions using techniques from signal processing

Time correlation functions invariably suffer from random noise, especially at longer time intervals for which fewer data pairs are available. This noise is particularly of concern when calculating correlations that cannot be averaged over per-molecule contributions, such as stress in molecular simulations. In this work, a set of methods based in signal processing has been developed to reduce the inherent noise that is present in time- and frequency-domain representations of correlation functions. The stress time autocorrelation function, which leads to stress relaxation modulus and complex modulus, is used as an example. The difference between initial and final values of a time correlation function over a finite time domain is found to create so-called ‘leakage’ of noise from disallowed into harmonic frequencies during fast Fourier transformation. Decreasing this leakage effect through reflection to negative time and through applying a window function reduces noise levels significantly. Removing frequency components of insignificant magnitudes also provides significant noise reduction. Applying moving averages in the frequency and time domains also contributes to noise reduction. Specific results obtained by applying these methods to a model asphalt system enable more clear physical interpretations of the underlying relaxations after dramatic noise level reductions were attained.
Reportear bajo amenaza: violencia, profesionalización y modernización irregular del sistema mediático mexicano

A media system deemed modern requires, among other things, the practice of free professional journalism, which has not been entirely possible in Mexico because the growing violence against journalists has emerged as one of the principal obstacles to their job. The aim is to describe Mexican journalists’ responses to the relentless threats and attacks they face based on 93 semi-structured interviews conducted in 23 of the country’s most violent states. Concerning journalism professionalization, the results suggest that violence against the media has two implications mainly. First, the attacks have favored the development of better journalistic practices, such as adherence to data and facts, diversification of information sources, deployment of collaborative coverage, and creation of journalist associations. Second, in a significant number of cases, violence has inhibited press freedom, promoting self-censorship or dependence on official government newsletters. The coexistence of both reactions reveals the fickle nature of the Mexican media system and its modernization process.
Recombinant Human Soluble Thrombomodulin Suppresses Arteritis in a Mouse Model of Kawasaki Disease

Introduction and Objective: Kawasaki disease (KD) is associated with diffuse and systemic vasculitis of unknown aetiology and primarily affects infants and children. Intravenous immunoglobulin (IVIG) treatment reduces the risk of developing coronary aneurysms, but some children have IVIG-resistant KD, which increases their risk of developing coronary artery injury. Here, we investigated the effect of recombinant human soluble thrombomodulin (rTM), which has anticoagulant, anti-inflammatory, and cytoprotective properties on the development of coronary arteritis in a mouse model of vasculitis. Methods: An animal model of KD-like vasculitis was created by injecting mice with Candida albicans water-soluble fraction (CAWS). This model was used to investigate the mRNA expression of interleukin (IL)-10, tumour necrosis factor alpha (TNF-α), and tissue factor (TF), in addition to histopathology of heart tissues. Results: rTM treatment significantly reduces cardiac vascular endothelium hypertrophy by 34 days after CAWS treatment. In addition, mRNA expression analysis revealed that rTM administration increased cardiac IL-10 expression until day 27, whereas expression of TNF-α was unaffected. Moreover, in the spleen, rTM treatment restores IL-10 and TF expression to normal levels. Conclusion: These findings suggest that rTM suppresses CAWS-induced vasculitis by upregulating IL-10. Therefore, rTM may be an effective treatment for KD.
Prevalence of Gastrointestinal Helminth Parasites of Himalayan goral (Naemorhedus goral) in Kazinag National Park, Jammu and Kashmir, India

Background: Natural populations of ungulates are threatened by pathogens and parasites with gastrointestinal parasites being the most widespread. Parasitic infestation is one of the major problems in the management and a growing concern for the conservation of threatened wild animal species. The current study was undertaken to evaluate prevalence of gastrointestinal helminth parasites in Himalayan goral (Naemorhedus goral) in Kazinag National Park (KNP) of Kashmir.Methods: From May 2018 to June 2020, a total of 463 fresh faecal samples of Himalayan goral were collected from Kazinag National Park. The samples were processed by the standard sedimentation and floatation techniques.Result: Out of 463 faecal samples examined, 236 were found infected with GIT helminthes. In the present study five helminth species were found including, four nematodes [Haemonchus contortus (35.70%), Trichuris ovis (23.40%), Strongyloides spp. (20.80%) and Trichostrongylus spp. (12.30%)] and one cestode [Moneizia expansa (8.00%)]. Based on the severity of infection, 80.6% of goral positive samples were severely infected (epg greater than 1,500), 9.4% heavily infected (epg = 1,100-1,500), 3.3% moderately infected (epg = 800-1,000) and 6.8% mildly infected (epg = 500). Epidemiological prevalence of GIT helminthes in goral was profoundly influenced by different seasons. The maximum helminth infection was observed in summer season and minimum in winter (p = 0.03). Mixed infection was observed in 206 fecal samples with a prevalence of 47.24%.
Housing, Consumption and Monetary Policy: How Different are the U.S. And the Euro Area?

This paper provides a systematic empirical analysis of the role of the housing market in the macroeconomy in the U.S. and the euro area. First, it establishes some stylised facts concerning key variables in the housing market on the two sides of the Atlantic, such as real house prices, residential investment and mortgage debt. It then presents evidence from Structural Vector Autoregressions (SVAR) by focusing on the effects of monetary policy, credit supply and housing demand shocks on the housing market and the broader economy. The analysis shows that similarities outweigh differences as far as the housing market is concerned. The empirical evidence suggests a stronger role for housing in the transmission of monetary policy shocks in the U.S. The evidence is less clear-cut for housing demand shocks. Finally, credit supply shocks seem to matter more in the euro area.
Harnessing Technology for Research During the COVID-19 Pandemic: A Mixed Methods Diary Study Protocol

Project Title: Psychosocial Reactions to a Global Pandemic: A Diary Study During COVID-19. Design: The study uses a mixed methods design that includes both a cross-sectional quantitative survey and qualitative diary entries submitted online eight times by student participants. Context of Study: The study timeline spans the full shutdown, phase 1 reopening, and phase 2 reopening of New Orleans Louisiana. Objectives: The study has three primary objectives: (1) To better understand the experiences of Social Work Students during the COVID-19 pandemic; (2) To explore risk and protective factors that influences Social Work Students’ ability to cope with stressors and changes associated with the COVID-19 pandemic; and (3) to track changes over time in coping among Social Work Students during the COVID-19 pandemic. Study Population: Current Master of Social Work (MSW) Students enrolled at Tulane University during the COVID-19 Pandemic will be invited to participate in this study.
Comparison of confirmatory factor analysis estimation methods on mixed-format data

Weighted least squares (WLS), weighted least squares mean-and-variance-adjusted (WLSMV), unweighted least squares mean-and-variance-adjusted (ULSMV), maximum likelihood (ML), robust maximum likelihood (MLR) and Bayesian estimation methods were compared in mixed item response type data via Monte Carlo simulation. The percentage of polytomous items, distribution of polytomous items, categories of polytomous items, average factor loading, sample size and test length conditions were manipulated. ULSMV and WLSMV were found to be the more accurate methods under all simulation conditions. All methods except WLS had acceptable relative bias and relative standard error bias. No method gives accurate results with small sample sizes and low factor loading, however, the ULSMV method can be recommended to researchers because it gives more appropriate results in all conditions.
The impacts of information technology and E-commerce on operational performances: A two-stage dynamic partial adjustment approach

ABSTRACT This study proposes an unconventional partial adjustment valuation approach, as a comparison to stochastic production frontier approach, to evaluate the business values of information technology and E-commerce. Based on the different settings of the speeds of adjustment, two different cases, constant case and dynamic case, are conducted and compared. With the more realistic model design, we can investigate and compare the business values of information technology and E-commerce with not only the constant but also the time-varying dynamic setting empirically. The empirical results indicate that the adoptions of information technology and E-commerce contribute to operational performances positively in most cases, but the power differs depending on the different industries.
Production Potential and Weed Dynamics in Maize + Legumes Intercropping System

The experiment was carried out at the Bangladesh Agricultural Research Institute, Gazipur during summer season of 2012 to identify suitable legume crops for growing with maize in a maize + legume intercropping system for better weed suppression, system productivity and economic benefits in kharif season. There were 17 treatments, viz.T1= Sole maize (no weeding), T2= Maize + Mungbean (no weeding), T3= Maize + Mungbean (weeding at 20 DAE), T4= Maize + Mungbean (weeding at 40 DAE), T5= Maize + Mungbean (weeding at 20 and 40 DAE), T6= Maize + Soybean (no weeding), T7= Maize + Soybean (weeding at 20 DAE), T8= Maize + Soybean (weeding at 40 DAE), T9= Maize + Soybean (weeding at 20 and 40 DAE), T10= Maize + Blackgram (no weeding), T11= Maize + Blackgram (weeding at 20 DAE), T12= Maize + Blackgram (weeding at 40 DAE), T13= Maize + Blackgram (weeding at 20 and 40 DAE) T14 =Sole maize (weed free), T15= Sole Mungbean (weed free), T16= Sole Soybean (weed free) and T17= Sole Blackgram (weed free) were studied. Intercropping systems significantly reduced the weed population and weed dry biomass in comparison to sole cropping of maize under unweeded situation. Among the three different intercropping systems, maize + mungbean with two hand weedings produced the lowest weed dry weight (184.30 g at 20 DAE and 14.07 g at 40 DAE) and the highest weed control efficiency (87% at 40 DAE) followed by maize + soybean and maize + blackgram intercropping systems. The highest grain yield was obtained from weed free sole maize (8.05 t ha -1 ) than unweeded sole maize (6.48 t ha -1 ) treatment. Among all intercropping, maize + mungbean along with two hand weedings gave the highest yield (maize: 7.18 t ha -1 ; 572.6 kg ha -1 mungbean), resource complementarity and profitability (MEY = 10.62 t ha -1 , LER = 1.81 and BCR = 2.47). From the study it was concluded that maize + mungbean with two hand weedings at 20 and 40 DAE would be the best in reducing weed growth, producing maximum yield and getting net return in intercropping systems during kharif season.
A Bird in the Hand is Worth Two in the Bush: Technology Search Strategies and Competition Due to Import Penetration

Do firms respond to tougher competition by searching for completely new technological solutions (exploration), or do they work to defend their position by improving current technologies (exploitation)? Considering the different times to fruition for exploration versus exploitation, in the presence of heightened competition, we argue that firms might not be able to wait for the benefits of technological exploration to materialize. With a panel data set of U.S. manufacturing firms, we show that tougher competition, due to import penetration, leads to a decrease in technological exploration and an increase in technological exploitation. These effects are heterogeneous across industries, firms, and time. To obtain exogenous variation in competition we rely on both instrumental variable regressions and a difference-in-differences design exploiting large changes in import tariffs.