Miracle-dz/UniFAR-FTUs huggingface dataset:
Characteristics and functions of subcultural identities in the lives of gay, bisexual, and queer-identifying men in Australia

ABSTRACT Gay, bisexual, and queer-identifying (GBQ) male communities tend to comprise various distinct subcultural identity groups based on shared characteristics and associations, often overlooked in research and practice. This study aimed to develop a greater understanding of GBQ subcultural identities by exploring how they are understood and described by individuals who utilise them. Semi-structured in-depth interviews were conducted with 15 gay, bisexual, and queer-identifying men living in Australia and who identified with one or more subcultural identities. Interview transcripts and data underwent thematic analysis. All participants identified with two or more subcultural identities. Results indicated that subcultural identities were understood and characterised through physical traits, gender expression and perceived norms, sexual preferences and sex roles, interests and hobbies, and social interaction dynamics. Important functions of subcultural identities were noted, such as their utility in filtering and regulating social associations and interactions as well as reflecting elements of queer history and culture. Findings highlight some key characteristics that define subcultural identities and the functions they serve for GBQ men. This knowledge furthers understanding of GBQ subcultural identities and may assist in developing culturally-relevant approaches to future research and practice in areas such as health promotion and service delivery.
The Oil Price and Trade Nexus in the Gulf Co-Operation Council Countries

The present study investigates the asymmetrical impacts of oil prices and real exchange rates on the trade balances in the Gulf Co-operation Council countries. Using panel estimates, we found the symmetrical positive effect from the oil prices and the asymmetrical positive effect from the real exchange rates on the trade balances. For country-specific results, increasing oil prices showed a positive effect on the trade balances in Oman, Saudi Arabia, and the UAE and a negative effect in Kuwait. Decreasing oil prices carried a positive relationship with the trade balances in Bahrain, Oman, Qatar, and the UAE. The oil prices showed an asymmetrical impact on the trade balances in all countries, except Saudi Arabia. Moreover, the depreciation helped to improve the trade balances in Bahrain, Oman, Qatar, and the UAE. The appreciation worsened the trade balances in Oman, the UAE, and Saudi Arabia and improved the trade balance in Kuwait. Moreover, the asymmetrical relationships between the real exchange rates and the trade balances were corroborated in all of the investigated countries.
Servant Leadership Characteristics, Organisational Commitment, Followers’ Trust, Employees’ Performance Outcomes: A Literature Review

Purpose: The purpose of this paper is to present the findings relating to the impact of servant leadership on employee performance, organizational commitment, and employee trust in leaders. Design/Mathodology/approach: We conducted a systematic literature review (SLR). This study contributes to the development of servant leadership theory and practice in relation to organizational commitment, followers’ trust, and employees’ performance outcomes. In addition, this study contributes to the methodology for conducting SLRs in the field of management. The investigated previous studies are from different authors and different countries. Findings: The findings suggest future research in using the same variable of servant leadership impact towards performance organization and mediation culture organization. This study also suggests that organizational commitment, trust, employee performance, and organization culture are impacted by servant leadership. In looking at the many previous studies on organizational culture from around the world, it is rare for literature to examine the relationship between servant leadership and employee performance outcomes. Practical Implications: Servant leadership is a compelling topic to study because, in this leadership style, leaders give priority to the people they lead. This style of leadership is also unique because most humans tend to prioritize their own interests. Servant leadership creates organizational commitment and followers’ trust in their leadership. Originality/Value: The research literature on servant leadership links this style of leadership with organizational commitment and trust. Several studies have concluded that servant leadership significantly generates organizational commitment and trust.
An Experimental Review on Deep Learning Architectures for Time Series Forecasting

In recent years, deep learning techniques have outperformed traditional models in many machine learning tasks. Deep neural networks have successfully been applied to address time series forecasting problems, which is a very important topic in data mining. They have proved to be an effective solution given their capacity to automatically learn the temporal dependencies present in time series. However, selecting the most convenient type of deep neural network and its parametrization is a complex task that requires considerable expertise. Therefore, there is a need for deeper studies on the suitability of all existing architectures for different forecasting tasks. In this work, we face two main challenges: a comprehensive review of the latest works using deep learning for time series forecasting and an experimental study comparing the performance of the most popular architectures. The comparison involves a thorough analysis of seven types of deep learning models in terms of accuracy and efficiency. We evaluate the rankings and distribution of results obtained with the proposed models under many different architecture configurations and training hyperparameters. The datasets used comprise more than 50,000 time series divided into 12 different forecasting problems. By training more than 38,000 models on these data, we provide the most extensive deep learning study for time series forecasting. Among all studied models, the results show that long short-term memory (LSTM) and convolutional networks (CNN) are the best alternatives, with LSTMs obtaining the most accurate forecasts. CNNs achieve comparable performance with less variability of results under different parameter configurations, while also being more efficient.
VOCABULARY ACQUISITION AMONG ESL LEARNERS: A LOOK AT STRATEGIES AND BARRIERS

Having good vocabulary can help language learners go a long way towards mastering their target language. Language learners need to know both grammatical aspects as well as the meaning of words in order to communicate effectively. This study investigates the vocabulary learning strategies and also language learning barriers of undergraduates in a higher institution of learning. The instrument used for this study is a survey. The survey has three main sections; (a) personal details, (b) vocabulary strategies, and (c) language learning barriers. Data collected is analysed using SPSS and presented in the form of mean scores. Findings revealed that learners use vocabulary strategies such as metacognitive, guessing, dictionary, note-taking and rehearsal strategies. Findings also revealed that language barriers such as effective, environment and motivation can hinder learners’ learning of vocabulary of the target language. Article visualizations:
Internal control, risk and Sharīʿah non-compliant income in Islamic financial institutions

Purpose The existence of internal control for Sharīʿah-compliance promotes reasonable assurance that the Islamic financial institution’s (IFI’s) objectives are achieved in the following categories, namely, the effectiveness and efficiency of operations, the reliability of financial reporting and the level of compliance with applicable laws and regulations, as well as accounting and auditing standards. Sharīʿah non-compliant income (SNCI) is an important issue in IFIs’ operations. Thus, the purpose of this paper is to identify issues related to governance and internal control of SNCI in selected IFIs in Malaysia. Design/methodology/approach This research uses a case study approach to gather data on the measures of governance and risk management in relation to the internal control for SNCI in IFIs. Interviews were conducted with officers of the Sharīʿah and internal audit departments on internal control practices regarding SNCI. Findings Regulator’s guidelines on SNCI are simple and brief, lacking rigour in terms of governance, risk management and audit procedures. The section on SNCI is only a brief statement within the Bank Negara Malaysia’s Guidelines on Financial Reporting for Islamic Banking Institutions and also in the Operational Risk Integrated Online Network system operated by IFIs. Most of the respondents in the interviews suggested that there should be a proper guideline in determining the classification of SNCI. Second, although IFIs have established the purification account to manage SNCI, the real practice varies from one IFI to another. Third, although there are supposedly documented procedures established in relation to management and administration of SNCI, the following events still occur in practice, namely, no authorisation from the Sharīʿah Committee (SC) on various types of income channelled to the SNCI account; unauthorised use of SNCI for other purposes; SNCI not being reported in the annual financial reports; and distribution of SNCI prior to obtaining the SC’s consent. Fourth, there is an absence of Sharīʿah risk assessment conducted on operational risk by IFIs to identify any potential Sharīʿah non-compliant event. Research limitations/implications This research contributes to the importance of Islamic corporate governance theory and Sharīʿah risk management, as well as strengthening the case for reporting SNCI to shareholders. It also contributes to the body of knowledge on the capability of the management in managing the internal control system of IFIs’ SNCI. Originality/value A new internal control assessment matrix is proposed for Sharīʿah-compliance in IFIs.
How Do Banking Groups React to Macroprudential Policies? Cross-Border Spillover Effects of Higher Capital Buffers on Lending, Risk-Taking and Internal Markets

We study the impact of macroprudential capital buffers on banking groups' lending and risk-taking decisions, also investigating implications for internal capital markets. For identification, we exploit heterogeneity in buffers applied to other systemically important institutions, using information from three unique confidential datasets, including information on the EBA scoring process. This policy design induces a randomized experiment in the neighborhood of the threshold, which we use to identify the effect of higher capital requirements by comparing the change in the outcome for banks just above and below the cut-off, before and after the introduction of the buffer. The analysis is implemented relying on a fuzzy regression discontinuity and on a difference-in-differences matching design. We find that, when parent banks are constrained with higher buffers, subsidiaries deleverage lending and risk-taking towards non-financial corporations and marginally expanded lending towards households, with negative effects on protability. Also, we find that parents cut down on holdings of debt and equity issued by their subsidiaries. Our findings support the hypothesis that higher capital buffers have a positive disciplinary effect by reducing banks' risk-taking while having a (temporary) adverse impact on the real economy through a decrease in affiliated banks' lending activity. Therefore, to ensure the effectiveness of macroprudential policy, it is essential that policymakers assess their potential cross-border effects. JEL Classification: E44, E51, E58, G21, G28
MTurk Research: Review and Recommendations

The use of Amazon’s Mechanical Turk (MTurk) in management research has increased over 2,117% in recent years, from 6 papers in 2012 to 133 in 2019. Among scholars, though, there is a mixture of excitement about the practical and logistical benefits of using MTurk and skepticism about the validity of the data. Given that the practice is rapidly increasing but scholarly opinions diverge, the Journal of Management commissioned this review and consideration of best practices. We hope the recommendations provided here will serve as a catalyst for more robust, reproducible, and trustworthy MTurk-based research in management and related fields.
Theoretical consideration on the glass transition behavior of polymer nanocomposites

We have developed a new molecular thermodynamic model to predict the glass transition temperature (Tg) of nanocomposites consisting of polymer (1) and nanoparticle (2) based on the configurational entropy model and the Flory–Huggins theory. Four configurational entropies have been taken into account in this study: the disorientation entropy of the polymer (Sdis-1), the confinement entropy of the nanoparticle (Scon-2), the mixing (Smix-12), and the specific interaction entropies (Sspe-12) of the polymer/nanoparticle. Quantitative descriptions according to the proposed model are consistent with experimental Tg data of polymer nanocomposites. Our results demonstrate that Tg values of polymer nanocomposites can be enhanced or depressed relative to neat polymer depending on the intensity of specific interaction between polymer and nanoparticles, which is quantitatively identified by a physical parameter (γspe) in this model. © 2007 Wiley Periodicals, Inc. J Polym Sci Part B: Polym Phys 45: 2232–2238, 2007
THE STUDY OF SOIL STRUCTURE IN THE FIELD AND THE LABORATORY

Summary After defining the sense in which the term soil structure is used in the paper, the various methods for studying it are discussed, followed by a brief survey of recent literature. Descriptions are then given of adaptations of various methods which have been found suitable for studying structural changes in soils in long-term rotation experiments under the climatic conditions of Britain. As an indica-tion of the usefulness of the methods, some results typical of those obtained in the field and laboratory are given.
Integrative Taxonomy of Australian Metopia (Sarcophagidae: Miltogramminae) Reveals a New Species and Challenges Traditional Phylogeny

Abstract A taxonomic revision of all Australian species of Metopia Meigen (Sarcophagidae: Miltogramminae) is completed using an integrated approach combining molecular and morphological data. Metopia nudibasis (Malloch) is redescribed as a species complex and a new endemic Australian species, Metopia sputnik sp. n. , is described. Evidence is presented that Metopia sauteri (Townsend) is absent from Australia and this species is therefore removed from the known Australian fauna. Molecular phylogenetics is used to reconstruct interspecific and generic relationships and support morphology-based species hypotheses. Phylogenetic analysis splits Metopia Meigen into two clades, separated by Aenigmetopia Malloch, rendering the former genus nonmonophyletic. The implications of this are discussed.
Constraining Ideas: How Seeing Ideas of Others Harms Creativity in Open Innovation

Open innovation contests that display all submitted ideas to participants are a popular way for firms to generate ideas. In such contest-based ideation, the authors show that seeing numerous competitive ideas of others harms, rather than stimulates, creative performance (Study 1). Others’ competitive prior ideas interfere with idea generation, as new ideas need to be differentiated from the preceding ones to be original. Exposure to an increasing number of prior ideas thus heightens individuals’ perceived constraints of expressing ideas and harms creative performance (Studies 2 and 3). Furthermore, creative performance monotonically reduces with an increasing number of prior ideas (Study 4). A final study demonstrates that showing only a limited number of ideas as well as grouping prior ideas offer actionable ways to reduce prior ideas’ harmful influence (Study 5). These results illustrate viable ways to improve contest-based ideation outcomes merely by changing how competitive prior ideas are presented.
Influence of ionized impurities on the linewidth of intersubband transitions in GaAs/GaAlAs quantum wells

In this letter, we report the influence of silicon donors on the linewidth of intersubband transitions 1–2 in GaAs/Ga0.75Al0. 25As square quantum wells. We clearly demonstrate that the relative position between the ionized impurities and the center of the quantum wells is a major factor on the linewidth of the mid‐infrared (10 μm) transitions. Besides, it is shown that the scattering processes are more influenced by temperature when donors are far from the quantum well (QW).
RISK GOVERNANCE AND FINANCIAL PERFORMANCE: AN EMPIRICAL ANALYSIS

This study examines the influence of risk governance on financial performance of 50 quoted firms in the Nigerian financial sector for the period of five years (2013–2017). Panel data was used to examine how the risk governance variables (Enterprise Risk Management_index, Chief Risk Officer_presence, Board Risk Committee_size, Board Risk Committee_activism, and Board Risk Committee_independence) affects financial performance (Return on Asset). The study reveals empirically that most of the risk governance variables (ERM_index, CRO_presence, BRC_activism, and BRC_independence) have a significant and positive impact on the performance of the firm with the exception of BRC_size which shows a negative association with the financial performance of the studied firms. The study empirically reveals that strong Chief Risk Officer (CRO) presence, effective board risk committee, and inclusion of independent directors in the risk committee will go far in serving as factors that would improve the performance of firms in today’s financial environment. This study made a lot of core findings that contribute to the emerging literatures on risk governance and risk management research.
Criminal recidivism and psychosocial adversity in offense-related subtypes of sexually abusive adolescents

ABSTRACT Criminal behaviours vary significantly among juveniles who have sexually offended (JSOs). Offense-related subtypes may differ in criminal persistence and inform clinical practice. In the present study, Latent Class Analysis empirically derived four distinct JSO subtypes based on 10 offense/victim characteristics in a comprehensive sample of 670 JSOs (M age = 14.49, SD age = 1.94): a severe peer/adult-offender subtype (22.4%), a child-offender subtype (30.1%), a touch-offender subtype (27.9%), and a verbal/online-offender subtype (19.6%). Cox regressions indicated that JSOs of the severe peer/adult-offender subtype were at increased risk of sexual and nonsexual criminal recidivism. JSOs of the severe peer/adult-offender subtype as well as the child victim subtype appeared highly burdened with behaviour/social problems and psychosocial adversity/adverse childhood experiences. Our findings show that the variety of offense characteristics, predispositions, and recidivism risks characterising JSOs deserve precise consideration to allow the implementation of effective, individually tailored treatment approaches aimed at reducing future crime.
Anomalous Dynamics of QBO Disruptions Explained by 1D Theory with External Triggering

The quasi-biennial oscillation (QBO) is an alternating, descending pattern of zonal winds in the tropical stratosphere with a period averaging 28 months. The QBO was disrupted in 2016, and arguably again in 2020, by the formation of an anomalous easterly shear zone, and unprecedented stagnation and ascent of shear zones aloft. Several mechanisms have been implicated in causing the 2016 disruption, most notably triggering by horizontal eddy momentum flux divergence, but also anomalous upwelling and wave stress. In this paper, the 1D theory of the QBO is used to show how seemingly disparate features of disruptions follow directly from the dynamics of the QBO response to triggering. The perturbed QBO is interpreted using a heuristic version of the 1D model, which establishes that 1) stagnation of shear zones aloft resulted from wave dissipation in the shear zone formed by the triggering, and 2) ascent of shear zones aloft resulted from climatological upwelling advecting the stagnant shear zones. Obstacles remain in the theory of triggering. In the 1D theory, the phasing of the triggering is key to determining the response, but the dependence on magnitude is less steep. Yet in MERRA-2, there are triggering events only 20% weaker than the 2016 triggering and equal to the 2020 triggering that did not lead to disruptions. Complicating matters further, MERRA-2 has record-large analysis tendencies during the 2016 disruption, reducing confidence in the resolved momentum budget.
A gold-nanoparticle-based fluorescence resonance energy transfer probe for multiplexed hybridization detection: accurate identification of bio-agents DNA

We report a gold-nanoparticle-based miniaturized, inexpensive and battery-operated ultra-sensitive fluorescence resonance energy transfer (FRET) probe for screening biological agents DNA at the femtomolar level. We demonstrate a hybridization detection method using multicolor oligonucleotide-functionalized organic dyes and gold nanoparticles as nanoprobes. In the presence of various target sequences, detection of sequence-specific DNA is possible via an independent hybridization process. As proof of concept, multiplexed detection of two target sequences, (1) oligonucleotide sequence associated with the anthrax lethal factor and (2) sequence related to positions 1027–1057 of the E. coli 23S rDNA, have been demonstrated with high sensitivity and specificity. The quenching efficiency as a function of distance is investigated. The mechanism of distant dependence fluorescence quenching has been discussed.
Arbuscular mycorrhizal colonization and spore density across different land-use types in a hot and arid ecosystem, Southwest China

We investigated the arbuscular mycorrhizal (AM) colonization and spore density in cropped land, fallow land, and an undisturbed savanna ecosystem under hot and arid climatic conditions in a valley of southwest China. Plants surveyed in the three land-use types showed heavy arbuscular mycorrhizal colonization, indicating a high mycorrhizal dependency of plants in this environment. One-way analysis of variance (ANOVA) showed that the colonization of different AM structures and the spore density varied greatly among plant species both within and between different land-use types. The AM colonization and spore density were higher in undisturbed than in fallow or cropped land. No significant correlation between AM colonization and spore density was observed when land-use types were either considered separately or together. Cluster analysis based on the similarity in AM status with respect to both colonization and spore density showed similarities between fallow land and the undisturbed savanna. The results indicate that continuous cropping reduces AM colonization and spore density. These parameters appear to nearly fully recover when the land has been left to fallow for 4 years.