Miracle-dz/UniFAR-FTUs huggingface dataset:
How Decent Work Affects Affective Commitment Among Chinese Employees: The Roles of Psychological Safety and Labor Relations Climate

This two-study research evaluates the validity of the decent work scale (DWS) developed by Duffy et al. (2017) in the United States and the effect of decent work on affective commitment among Chinese employees. Study 1 aims to validate the DWS and examine the predictability of decent work for psychological safety and affective commitment. Drawing from a sample of 307 full-time employees (149 females and 158 males), Study 1 reveals that the bifactor model of the DWS has valid application in the Chinese context, and that decent work is positively related to psychological safety and affective commitment. Study 2 seeks to explore the relationship between decent work and affective commitment, the underlying mechanism, and the boundary condition. With a new sample of 568 full-time employees (268 females and 300 males) collected at two time points, Study 2 demonstrates that decent work is directly and indirectly related to employee affective commitment through the mediation of psychological safety; this indirect relationship is moderated by labor relations climate. This research extends decent work research and psychology of working theory in relation to the DWS validation and predictability for employee workplace attitudes, psychological process, and boundary conditions in a non-Western context.
What We Talk about When We Talk about Poverty: Culture and Welfare State Development in Britain, Denmark and France

Why did historical anti-poverty programs in Britain, Denmark and France differ so dramatically in their goals, beneficiaries and agents for addressing poverty? Different cultural views of poverty contributed to how policy makers envisioned anti-poverty reforms. Danish elites articulated social investments in peasants as necessary to economic growth, political stability and societal strength. British elites viewed the lower classes as a challenge to these goals. The French perceived the poor as an opportunity for Christian charity. Fiction writers are overlooked political agents who engage in policy struggles. Collectively, writers contribute to a country's distinctive ‘cultural constraint’, or symbols and narratives, which appears in the national-level aggregation of literature. To assess cross-national variations in cultural depictions of poverty, this article uses historical case studies and quantitative textual analyses of 562 British, 521 Danish and 498 French fictional works from 1770 to 1920.
The Influence of Seasonality on the Multi-Spectral Image Segmentation for Identification of Abandoned Land

Areas of agricultural land in Lithuania have decreased from 2005 to 2021 by up to 2.4%. Agricultural lands that are no longer used for their main purpose are very likely to become abandoned and the emergence of such lands can cause a variety of social, economic, and environmental problems. Therefore, it is very important to constantly monitor changes of abandoned agricultural lands. The purpose of the research is to analyse the influence of seasonality on image segmentation for the identification of abandoned land areas. Multi-spectral Sentinel-2 images from different periods (April, July, and September) and three supervised image segmentation methods (Spectral Angle Mapping (SAM), Maximum_Likelihood (ML), and Minimum distance (MD)) were used with the same parameters in this research. Studies had found that the most appropriate time to segment abandoned lands was in September, according to the SAM and ML algorithms. During this period, the intensity of the green colour was the highest and the colour brightness of abandoned lands differed from the colour intensity of other lands.
The short-term mean reversion of stock price and the change in trading volume

This study aims to analyze the effect of change in trading volume on the short-term mean reversion of the stock price in the Korean stock market. Through the variance ratio test, this paper finds that the market shows the mean reversion pattern after 2000, but not before. This study also confirms that the mean reversion property is significantly reduced if the effect of change in trading volume is excluded from the return of a stock with a significant contemporaneous correlation between return and change in trading volume in the post-2000 market. The results appear in both the Korea Composite Stock Price Index and Korea Securities Dealers Automated Quotation. This phenomenon stems from the significance of the return response to change in trading volume per se and not the sign of the response. Additionally, the findings imply that the trading volume has a term structure because of the mean reversion of the trading volume and the return also has a partial term structure because of the contemporaneous correlation between return and change in trading volume. This conclusion suggests that considering the short-term impact of change in trading volume enables a more efficient observation of the market and avoidance of asset misallocation.
Anti-malware engines under adversarial attacks

Mobile phones have crawled into our lives with such rapidity and have reformed our lives in a short span. Malware is entangled with all forms of mobile applications causing havoc and distress. State of the art malware detection systems have exercised learning-based techniques successfully to discriminate benign contents from malware. But, Machine Learning (ML) models are vulnerable to adversarial samples and are not intrinsically robust against adversarial attacks. The adversarial samples generated against ML models degrade the model's performance. Adversarial attacks are utilized by malware authors to hinder the working of ML-based malware detection approaches. This article coheres into the effects of evasion attacks on an anti-malware engine utilizing a feed forward deep neural network model. Experiments on Android malware apps is explored by structuring a comprehensive feature engineering scheme for the Drebin dataset through static analysis. The results demonstrate the realistic threat and demand the need to develop adaptive defenses to foster a secure learning model which is immune to adversarial attacks.
Contrasting Responses of Idealised and Realistic Simulations of Shallow Cumuli to Aerosol Perturbations

Shallow clouds remain greatly significant in improving our understanding of the atmosphere. Using the Met Office Unified Model, we compare highly idealised simulations of shallow cumuli with those using more realistic domains, with open lateral boundaries and varying large‐scale forcing. We find that the realistic simulations are more capable of representing the cloud field on large spatial scales, and appear to limit the aerosol perturbations leading to impacts on the thermodynamic conditions. Aerosol perturbations lead to changes in the cloud vertical structure, and thermodynamic evolution of the idealised simulations; a central feature of behavior seen previously in idealised simulations. Modelling approaches with open boundaries and time‐varying forcing may allow for improved representation of shallow clouds in the atmosphere, and greater understanding of how they may respond to perturbations.
The iCOLT climate service: Seasonal predictions of irrigation for Emilia‐Romagna, Italy

Emilia‐Romagna is a region of Northern Italy whose land use is mainly devoted to agriculture, especially over the plain area. Since the region is characterized by summer water shortages and recurrent drought conditions, a summer irrigation water demand forecast system has been developed, operating both at regional and Land Reclamation and Irrigation Board levels. Remote sensing crop detection is used in combination with a soil water balance model as a monitoring tool in support to water management and to optimize the use of available water resources. These instruments are also integrated with operational calibrated probabilistic seasonal forecast products currently based on Copernicus Climate Services, in order to evaluate summer irrigation water needs in advance in support to decision‐making by water managers. Results obtained using this prediction system are characterized by a significant forecast skill. The sources of the predictability of this system are specifically evaluated, showing that the correct representation of crop geographical distribution is crucial for the ability of the system to capture spatial variability in irrigation demand. Furthermore, the system forecast skill is mostly due to the use of an empirical model to assess the hypodermic water table depth initialized by means of the observed meteorological data of the months before the beginning of the summer season. Finally, calibrated probabilistic seasonal predictions also contribute to a minor extent to the good performance of the system as a whole.
Revival of Philozoon Geddes for host-specialized dinoflagellates, ‘zooxanthellae’, in animals from coastal temperate zones of northern and southern hemispheres

ABSTRACT The dinoflagellate family Symbiodiniaceae comprises numerous genera and species with large differences in diversity, ecology and geographic distribution. An evolutionarily divergent lineage common in temperate symbiotic cnidarians and designated in the literature by several informal names including ‘temperate–A’, AI, Phylotype A´ (A-prime) and ‘Mediterranean A’, is here assigned to the genus Philozoon. This genus was proposed by Geddes (1882) in one of the earliest papers that recognized ‘yellow cells’ as distinct biological entities separate from their animal and protist hosts. Using phylogenetic data from nuclear (rDNA), chloroplast (cp23S) and mitochondrial genes (cob and cox1), as well as morphology (cell size), ecological traits (host affinity) and geographic distributions, we emend the genus Philozoon Geddes and two of its species, P. medusarum and P. actiniarum, and describe six new species. Each symbiont species exhibits high host fidelity for particular species of sea anemone, soft coral, stony coral and a rhizostome jellyfish. Philozoon is most closely related to Symbiodinium (formerly Clade A), but, unlike its tropical counterpart, occurs in hosts in shallow temperate marine habitats in northern and southern hemispheres including the Mediterranean Sea, north-eastern Atlantic Ocean, eastern Australia, New Zealand and Chile. The existence of a species-diverse lineage adapted to cnidarian hosts living in high latitude habitats with inherently wide fluctuations in temperature calls further attention to the ecological and biogeographic reach of the Symbiodiniaceae. HIGHLIGHTS A dinoflagellate genus symbiotic with temperate invertebrates is characterized and named using a discarded taxonomic term revived from the golden age of Natural Historians. The work highlights how animal–algal mutualisms are evolved to thrive under a broad range of environmental conditions.
Highly-sensitive graphene-based flexible pressure sensor platform

In this work, graphene has been utilized as the sensing material for the development of a highly-sensitive flexible pressure sensor platform. It has been demonstrated that a graphene-based pressure sensor platform that is able to measure pressure change of up to 3 psi with a sensitivity of 0.042 psi-1 and a non-linearity of less than 1% has been accomplished. The developed device, which resides on a flexible platform, will be applicable for integration in continuous wearables health-care monitoring system for the measurement of blood pressure.
New Perspective on Thermally Stimulated Luminescence and Crystallization of Barium Borate Oxyfluoride Glasses

The demand for modern materials, especially glasses, used in different applications, such as radiation sensors and spectral converters, requires a detailed study of their properties. The incorporation of fluoride compounds in borate glasses and their crystallization at the nanometric scale allows the properties of these materials to be further enhanced. Although many works showed improvements in some of these properties, some critical aspects, such as the crystallization mechanism and the role of the fluorine phase, need more investigation. We worked with xNaF (100 − x)BaO·2B2O3 glasses with x = 0, 5, 10, 15, 20, 25, 30, and 35% (in mol) to increase the knowledge in this field. The structural modifications and the thermally stimulated luminescence of the glasses were studied, and their crystallization was analyzed by thermal analysis and X-ray diffraction. A continuous trap distribution was found, which was responsible for its very good luminescent signal, especially in glasses with 20% NaF. By selecting a suitable amount of NaF, it is possible to obtain nanocrystals of BaF2. These promising results we reached show the applicability of these materials.
Co-production for or against the university: student loneliness and the commodification of impact in Covid-19

Purpose This paper explores the dissonance between co-production and expectations of impact in a research project on student loneliness over the 2019/2020 academic year. Specific characteristics of the project - the subject matter, interpolation of a global respiratory pandemic, informal systems of care that arose among students, and role of the university in providing the context and funding for the research - brought co-production into heightened tension with the instrumentalisation of project outputs. Study design/methodology/approach Our project consisted of a series of workshops, research meetings, and mixed-methods online journalling between 2019-2020. This paper is primarily a critical reflection on that research, based on observations by and conversations between the authors, together with discourse analysis of research data. Findings We argue that co-producing research with students on university contexts elevates existing tensions between co-production and institutional valuations of impact; that co-production with students who had experienced loneliness made necessary space for otherwise absent support and care; that our responsibility to advocate for our evidence and co-researchers came into friction with how the university felt our research could be useful; and that each of these converging considerations are interconnected symptoms of the ongoing marketisation of HE. Originality/value This paper provides a novel analysis of co-production, impact, and higher education in the context of an original research project with specific challenges and constraints. It is a valuable contribution to methodological literatures on co-production, multidisciplinary research into student loneliness, and reflexive work on the difficult uses of evidence in university contexts.
The Role of Peat-Free Organic Substrates in the Sustainable Management of Soilless Cultivations

Vegetable and ornamental crops require high input demand to adequately support their standard commercial quality and yield. For these crops, a very high level of agronomic use efficiency of many productive factors can be achieved in soilless culture. For example, the benefits derived from the adoption of soilless closed loops for the recirculation of the nutrient solution are well known as a benchmark of excellence for nutrient and water use efficiency. The challenges that we now face are as follows: (i) making soilless systems more inclusive of sustainable and eco-friendly growing substrates, possibly available at a local level; (ii) replacing chemicals with more sustainable products (e.g., organic active compounds) as much as possible for plant nutrition and protection. These goals can be addressed by following different approaches, but the adoption of peat-free organic substrates may play a central role. This work investigates four organic materials, i.e., biochar, coir, green compost, and wood fibers, to assess their role in plant nutrition and protection when used as components for the preparation of growing media in the soilless cultivation of containerized crops. In further detail, the work highlights how these materials may support normal agronomic practices.
Approximate Image-Space Multidirectional Occlusion Shading Model for Direct Volume Rendering

Understanding and perceiving three-dimensional scientific visualizations, such as volume rendering, benefit from visual cues produced by the shading models. The conventional approaches are local shading models since they are computationally inexpensive and straightforward to implement. However, the local shading models do not always provide proper visual cues since non-local information is not sufficiently taken into account for the shading. Global illumination models achieve better visual cues, but they are often computationally expensive. It has been shown that alternative illumination models, such as ambient occlusion, multidirectional shading, and shadows, provide decent perceptual cues. Although these models improve upon local shading models, they still require expensive preprocessing, extra GPU memory, and a high computational cost, which cause a lack of interactivity during the transfer function manipulations and light position changes. In this paper, we proposed an approximate image-space multidirectional occlusion shading model for the volume rendering. Our model was computationally less expensive compared to the global illumination models and did not require preprocessing. Moreover, interactive transfer function manipulations and light position changes were achievable. Our model simulated a wide range of shading behaviors, such as ambient occlusion and soft and hard shadows, and can be effortlessly applied to existing rendering systems such as direct volume rendering. We showed that the suggested model enhanced the visual cues with modest computational costs.
Is evolution faster at ecotones? A test using rates and tempo of diet transitions in Neotropical Sigmodontinae (Rodentia, Cricetidae)

Abstract We evaluated whether evolution is faster at ecotones as niche shifts may be needed to persist under unstable environment. We mapped diet evolution along the evolutionary history of 350 sigmodontine species. Mapping was used in three new tip‐based metrics of trait evolution – Transition Rates, Stasis Time, and Last Transition Time – which were spatialized at the assemblage level (aTR, aST, aTL). Assemblages were obtained by superimposing range maps on points located at core and ecotone of the 93 South American ecoregions. Using Linear Mixed Models, we tested whether ecotones have species with more changes from the ancestral diet (higher aTR), have maintained the current diet for a shorter time (lower aST), and have more recent transitions to the current diet (lower aLT) than cores. We found lower aTR, and higher aST and aLT at ecotones than at cores. Although ecotones are more heterogeneous, both environmentally and in relation to selection pressures they exert on organisms, ecotone species change little from the ancestral diet as generalist habits are necessary toward feeding in ephemeral environments. The need to incorporate phylogenetic uncertainty in tip‐based metrics was evident from large uncertainty detected. Our study integrates ecology and evolution by analyzing how fast trait evolution is across space.
What increases learning retention: employing the prediction-observation-explanation learning strategy in digital game-based learning

ABSTRACT Many studies have confirmed that digital game-based learning can effectively improve students’ learning motivation and that properly integrating learning strategies into digital games can effectively improve students’ learning achievement. However, rare research has been considered the long-term effect of learning retention. In the current study, a game-based learning system that integrated a “Prediction-Observation-Explanation” learning strategy was developed to provide learners with appropriate guidance and feedback during the learning process to improve the learning retention. A quasi-experiment was conducted in an elementary school mathematics course to evaluate the effectiveness of the method. The experimental result shows that the proposed approach can significantly improve students’ learning achievement and learning retention. According to the analysis of students’ behavioral pattern, the proposed approach can help students focus on the learning material of the game. Therefore, the proposed approach is a potential and effective way to help students with better long-term learning performance.
Understanding relationship commitment and continuous knowledge sharing in online health communities: a social exchange perspective

Purpose Online health communities (OHCs) have become increasingly popular sources of health information in recent years. However, little is known about the factors that affect the relationship commitment and continuous knowledge sharing intention among OHC members. Thus, this study aims to integrate social exchange and commitment-trust theories to establish a theoretical model to fill the gap. Design/methodology/approach A research model that integrates social exchange theory and commitment-trust theory is developed. Quantitative data from 519 valid questionnaires are collected via an offline survey. Statistical product and service solutions 20.0 and analysis of a moment structures 20.0 software are used to test the hypotheses. Findings Relationship commitment directly influences continuous knowledge sharing intention, partially mediates the relationship between social support and continuous knowledge sharing intention, and fully mediates the relationship between perceived health risks and continuous knowledge sharing intention. Informational and emotional supports are identified as benefit factors that positively affect relationship commitment and perceived health risks are regarded as cost factors that negatively influence relationship commitment. Informational and emotional supports of OHC members produce different effects on relationship commitment when members obtain social support from different sources. Moreover, trust moderates the influences of informational support and perceived health risks on relationship commitment. Originality/value The findings provide additional insights that can augment the knowledge management literature by indicating how people are driven to share knowledge continuously in the context of OHCs. This study empirically clarifies the relationships of benefits (i.e. social support) and costs (i.e. perceived health risks) to continuous knowledge sharing intention by demonstrating the significant mediating effect of relationship commitment. In addition, the findings of this study highlight the importance of the social support source in OHCs and provide additional insights into commitment–trust theory by integrating the moderating effect of trust on the relationships between relationship commitment and its antecedents.