Miracle-dz/UniFAR-FTUs huggingface dataset:
Reducing the gap between pro‐environmental disposition and behavior: The role of feeling power

Environmental sustainability is a priority area in the agenda for Sustainable Development adopted by the United Nations (UN) (2015). In this context, research on individual-level factors that may motivate environmental-friendly lifestyles, and importantly, when and in which situations these factors may work best, becomes highly relevant to inform green policy-making (Steg & Vlek, 2009). The extant literature on pro-environmental behaviors has highlighted a number of internal dispositions that might motivate people to behave in a pro-environmental manner (Steg et al., 2013; Steg & Vlek, 2009; Vlek & Steg, 2007), such as the endorsement of biospheric values (Bouman et al., 2018; Stern et al., 1999), environmental concern (Fransson & Gärling, 1999), and pro-environmental attitudes (Kollmuss & Agyeman, 2002), to name a few. However, the extent to which these “green” dispositions are able to translate into pro-environmental behaviors has been questioned (Bamberg, 2003). For instance, though the vast majority agrees that protecting the environment is important (Eurobarometer, 2017), only a relatively small percentage of Europeans have actually practiced pro-environmental behaviors (e.g., cutting down their energy consumption, and avoiding single-use plastic goods). Received: 18 January 2020 | Revised: 25 September 2020 | Accepted: 23 November 2020 DOI: 10.1111/jasp.12733
Evaluation of Broadcast Steam Application with Mustard Seed Meal in Fruiting Strawberry

Soil disinfestation with steam has potential to partially replace fumigants such as methyl bromide, chloropicrin, and 1,3-dichloropropene because it is effective, safer to apply, and has less negative impact on the environment. Here, we compared the efficacy of steam and steam + mustard seed meal (MSM) to chloropicrin on soil disinfection, plant growth, and fruit yield in a strawberry (Fragaria ×ananassa) fruiting field. The MSM was applied at 3368 kg·ha−1 before the steam application. Steam was injected into a 3-m-wide reverse tiller that was set to till 30 to 40 cm deep. Soil temperatures at depths of 10, 20, 25, and 35 cm were monitored. Steam and steam + MSM treatments reduced the viability of purslane seeds and nutsedge tubers, microsclerotia density of Verticillium dahliae, propagule density of Pythium ultimum, cumulative weed densities, and biomass compared with the nontreated control. Moreover, the steam application was as efficacious as chloropicrin on these pests. The growth and fruit yield of strawberries grown on soils previously treated with the steam and steam + MSM treatments were similar to those in the chloropicrin treatment and were higher than those in the nontreated control. Our study indicated that steam, steam + MSM, and chloropicrin are equally effective at suppressing weeds and soilborne pathogens. These results suggest that the steam and steam + MSM treatment can be a practical alternative for soil disinfestation in conventional and organic strawberry fields.
The mediating effect of teacher self-efficacy regarding the relationship between transformational school leadership and teacher agency

ABSTRACT The quality of school leaders and teachers is critical to both school development and student achievement. Thus, quality school leaders are needed for teachers to perform their assigned roles and tasks in line with the school goals. This paper examined the effect of transformational leadership behaviours of school principals on teacher agency. The study adopted a correlational research method and was conducted with 349 teachers working in primary, middle, and secondary schools of 15 cities located in eastern, central, and western Anatolia regions. Based on the variables observed in the school, path analysis was applied to analyse the relationships between implicit variables. A direct relationship was found between the transformational leadership practice of school principals and teachers’ behaviours. In addition, transformational leadership practices of school principals had a direct as well as a moderate effect on teacher agency; teacher self-efficacy led to an indirect increase on this effect.
Full-duplex coherent optical system based on optical injection locking and optical frequency comb

We proposed and experimentally demonstrated a novel point-to-point (P2P) coherent optical link based on optical frequency comb and injection-locking optical process, featuring single wavelength and wavelength division multiplexing (WDM) full-duplex coherent transmission over a fiber link up to 100-km distance. With light sources and local oscillators that are injection locked to an optical frequency comb, simultaneous down-stream and up-stream operations at the same wavelength using full-duplex coherent optical transceivers have been experimentally demonstrated.
When owner, family, and community roles intertwine: Examining entrepreneurs’ persistence decisions and the gender effect

ABSTRACT Entrepreneurs play multiple roles in their daily lives, and these roles can influence their decisions. Yet we know little about how entrepreneurs respond to simultaneous influences from different domains. We examine how entrepreneurs’ persistence decisions are jointly influenced by owner role pressure, family role pressure, and community role pressure and whether female and male entrepreneurs make decisions differently. Results indicate that owner role pressure interacts with family role pressure to influence persistence decisions. Further, female entrepreneurs are influenced more by owner role pressure, but interestingly, male entrepreneurs are influenced more by community role pressure. Our research suggests that entrepreneurs should be aware of the role pressure driving their persistence with underperforming ventures. Educators and support organizations can direct entrepreneurs’ attention to the multiple roles they play in life and increase their awareness of how persistence decisions can be jointly influenced by those roles and the gender differences in the decisions.
A survey on adversarial attacks and defences

Deep learning has evolved as a strong and efficient framework that can be applied to a broad spectrum of complex learning problems which were difficult to solve using the traditional machine learning techniques in the past. The advancement of deep learning has been so radical that today it can surpass human ‐ level performance. As a consequence, deep learning is being extensively used in most of the recent day ‐ to ‐ day applications. However, efficient deep learning systems can be jeopardised by using crafted adversarial samples, which may be imperceptible to the human eye, but can lead the model to misclassify the output. In recent times, different types of adversaries based on their threat model leverage these vulnerabilities to compromise a deep learning system where ad-versaries have high incentives. Hence, it is extremely important to provide robustness to deep learning algorithms against these adversaries. However, there are only a few strong countermeasures which can be used in all types of attack scenarios to design a robust deep learning system. Herein, the authors attempt to provide a detailed discussion on different types of adversarial attacks with various threat models and also elaborate on the efficiency and challenges of recent countermeasures against them
What’s Next for Green Human Resource Management: Insights and Trends for Sustainable Development

Received: 2 December 2020 Accepted: 26 January 2021 The theme of green human resource management (GHRM) has got immense attention among researchers and professionals due to its potential to pacify environmental needs and simultaneously allowing firms to have win-win situation, hence achieving sustainable competitive edge over their rivals. In this context, a systematic review of 70 articles from the past 12 years (2008-2020) on green human resource management was conducted based on Scopus database in terms of (1) the reflections of green HRM, (2) execution of green HRM, (3) factors of green HRM, (4), Effects of green HRM. Results demonstrated that Green HRM is still in developing phase and a multidimensional paradigm with green training as an important element along with teamwork, management support, green organizational culture are the pioneer factors in ensuring sustainable development both at firm and individual level. Finally, this paper highlights the past, current and future endeavors in green HRM paradigm, sustainable development and serves as a guide for researchers who are new to this novel concept; it will also intensity their understanding about the productive journals, appropriate methodology, underpinning theories, sustainable development and substantial knowledge gaps.
Evaluation Antioxidant Activity

Two different series of benzothienopyridines and benzothienopyrimidines were synthesized in good yields and their structures were established by spectroscopic characterization. Free radical scavenging effects of synthesized compounds were also evaluated experimentally against DPPH and ABTS radicals. In the series; 2-amino-benzo[b]thiophene-3-carboxamide 2 and 2-pyridine-2-phenyl-,5,6,7,8,9-hexahydro- benzo[4,5]thieno[2,3-d]pyrimidin-4- ylamine 6d are showed the highest radical scavenging activity against both radicals and their radical scavenging effects were comparable to the reference standard Trolox.
Development of a simple and valid nutrition screening tool for pediatric hospitalized patients with acute illness

Background: Nutritional screening, intervention and assessment in patients with undernutrition are key components of any nutritional care. The goal of any nutritional assessment is to determine the specific nutritional risk(s). Presently, there are no guidelines on any ideal screening tool to be used on admission for identification of children that are at risk of developing malnutrition during their hospital stay. The objective of the study was to develop a valid and simple nutritional screening tool which can be used on hospital admission to identify pediatric patients at risk of malnutrition . Methods: This study was cross sectional analytical that enrolled children (n:161) admitted with acute illness to the general wards at Cairo University Children Hospitals (CUCH). The answers to the developed questionnaire were compared to the Subjective Global Assessment (SGA), those with high accuracy (≥80%) were used for validity with anthropometric measures. Results: In the ‘less than two years of age’ group, the simple and valid nutritional screening tools were the following questions: (Is there a problem during breast-feeding? ), (Is there scanty breast milk? ), (Is there appetite loss? ). The simple and valid nutritional screening tools during the ‘early childhood’ group were the following questions: (Is there appetite loss? ), (Is there any skipping of meals? ), (Are they watching TV, videotapes and/or playing computer games for more than two hours/day? ). The simple and valid nutritional screening tools during the ‘late childhood’ group were the following questions: (Is there appetite loss? ), (Are they watching TV, videotapes and/or playing computer games for more than two hours/day? ). Conclusion: The simple and valid nutritional screening tools differ according to age groups. The one which is valid in all ages is the question about the appetite loss.
Rice safety and control of penoxsulam-resistant and -susceptible barnyardgrass (Echinochloa crus-galli) populations with soil-applied herbicides

Abstract Resistance to penoxsulam among barnyardgrass populations is prevalent in rice fields in China. Seeds of penoxsulam-resistant (AXXZ-2) and penoxsulam-susceptible (JLGY-3) barnyardgrass populations, as well as the seeds of two rice varieties, including Wuyungeng32 (WY) and Liangyou669 (LY), were planted in plastic pots and then treated with a rate titration of acetochlor, anilofos, butachlor, clomazone, oxadiazon, pendimethalin, pretilachlor, pyraclonil, or thiobencarb. The two barnyardgrass populations exhibited similar susceptibility to acetochlor, anilofos, butachlor, oxadiazon, pretilachlor, or pyraclonil. However, the susceptibility differed between the barnyardgrass populations in response to clomazone, pendimethalin, and thiobencarb. For AXXZ-2, herbicide rates that caused 50% reduction in shoot biomass from the nontreated control (GR50) were 179, >800, and 1,798 g ha-1 for clomazone, pendimethalin, and thiobencarb, respectively; whereas JLGY-3 GR50 values were 61, 166, and 552 g ha-1, respectively. Both rice varieties demonstrated excellent tolerance to acetochlor, butachlor, oxadiazon, pretilachlor, and thiobencarb. However, substantial rice damage was observed when anilofos and clomazone were used. Anilofos at 352 g ha-1 and clomazone at 448 g ha-1 reduced rice shoot biomass by 41% and 50% from the nontreated, respectively. Averaged across herbicide rates, clomazone use resulted in a reduction in rice shoot biomass from that of the nontreated control by 52% and 34% for WY and LY, respectively; and pendimethalin use resulted in a reduction in rice shoot biomass from the nontreated control by 25% and 9% for WY and LY, respectively. Nomenclature: acetochlor; anilofos; butachlor; clomazone; oxadiazon; pendimethalin; pretilachlor; pyraclonil; thiobencarb; barnyardgrass; Echinochloa crus-galli (L.) Beauv. ; rice; Oryza sativa L.
Designing an online graduate community for research practice: Going beyond single purpose design

Abstract Providing library research support for graduate students during a thesis/dissertation or capstone project is a scaffolded and long-term process. Librarians meet with students several times as they journey through this liminal space to becoming scholars. Currently, COVID-19 adds to this already high-stakes and stressful experience. This case study will describe how graduate student needs assessment data were utilized to design an online virtual space that provides a more holistic approach for graduate student support during this disorienting time that integrates the seminal theories of Kuhlthau’s Model of the Information Search Process and Schlossberg's Transition Theory.
DNA origami and DNA origami silica hybrids for biomedical applications

In this paper we introduce DNA origami as a tool to study protein-protein interactions, including ligand-receptor interactions of the tumor necrosis superfamily. Additionally, we introduce DNA origami-templated biomineralization, which allows for the formation of super-stable inorganic nanoconstructs with programmable shape and size for potential downstream biomedical applications.
Mexican-Origin College Students’ Stress, Sibling Relationships, Academic Motivation, and Depressive Symptoms

The current study investigated associations among interpersonal, academic, financial, and ethnicity-related stressors and college students’ academic motivation and depressive symptoms, as well as the moderating role of positive sibling relationships on these associations. Participants included 171 Mexican-origin college students (80.7% female; M = 21.6 years). Data were collected using an online survey and analyzed with path analysis. Under conditions of more positive sibling relationships, there was a positive association between interpersonal stress and academic motivation, a negative association between ethnicity-related social stress and academic motivation, and a positive association between financial stress and depressive symptoms. Under conditions of less positive sibling relationships, there was a positive association between interpersonal stress and depressive symptoms. Findings suggest that sibling relationships may only be protective for certain types of stress.
The Effect of Nitrogen Fertilization on Tree Growth, Soil Organic Carbon and Nitrogen Leaching—A Modeling Study in a Steep Nitrogen Deposition Gradient in Sweden

Nitrogen (N) fertilization in forests has the potential to increase tree growth and carbon (C) sequestration, but it also means a risk of N leaching. Dynamic models can, if the important processes are well described, play an important role in assessing benefits and risks of nitrogen fertilization. The aim of this study was to test if the ForSAFE model is able to simulate correctly the effects of N fertilization when considering different levels of N availability in the forest. The model was applied for three sites in Sweden, representing low, medium and high nitrogen deposition. Simulations were performed for scenarios with and without fertilization. The effect of N fertilization on tree growth was largest at the low deposition site, whereas the effect on N leaching was more pronounced at the high deposition site. For soil organic carbon (SOC) the effects were generally small, but in the second forest rotation SOC was slightly higher after fertilization, especially at the low deposition site. The ForSAFE simulations largely confirm the N saturation theory which state that N will not be retained in the forest when the ecosystem is N saturated, and we conclude that the model can be a useful tool in assessing effects of N fertilization.
Wide-precision planting pattern under different tillage methods affects photosynthesis and yield of winter wheat

ABSTRACT Agricultural practices that are water-saving and high-yielding are vital to sustainable development. We investigated two planting patterns and two tillage methods in four winter wheat growing seasons in North China Plain (NCP). They’re conventional tillage (CT) and no-tillage (NT) under wide-precision planting (W) and conventional planting (C). Soil water content, dry matter accumulation (DM), grain yield (GY), chlorophyll content index (CCI), photosynthetic rate (Pn), transpiration rate (Tr), and photosynthetic active radiation (PAR) interception were determined. We found W significantly increased the CCI, PAR interception, DM, and spikes number compared with C. The soil water content in 20–90 cm soil layer under NT was higher than that under CT. Both maximum water use efficiency of leaves (WUEL) and radiation use efficiency (RUE) were significantly greater under W compared with C, resulting in a higher GY. Furthermore, the Pn and spikes number were significantly higher under CT than under NT, with crop GY being higher under CT than under NT. However, the combination of NT and W showed higher WUEL and RUE that were not significantly different among treatments from NT to CT. Furthermore, the highest DM and RUE were observed in NTW treatment, with W compensating for the adverse effect of NT.
Brand hate and retaliation in Muslim consumers: does offensive advertising matter?

Purpose This study aims to investigate the generation of negative emotions and behavior in Muslim consumers from their attitude toward offensive advertising. Mediation of brand hate between attitude toward offensive advertising and brand retaliation was examined. The conditional indirect impact of religiosity on attitude toward offensive advertising and brand retaliation through brand hate was also realized. Design/methodology/approach A cross-sectional research design was used using the mall intercept survey technique. Data were collected from 380 respondents visiting the malls in the areas of Pakistan’s twin cities (Rawalpindi and Islamabad) after ensuring appropriateness for the study. Partial least square–structural equation modeling through SmartPLS software was used as a statistical technique to test the hypotheses. Findings The findings confirm that attitude toward offensive advertising affects brand hate and brand retaliation positively. The conditional indirect effect of religiosity on the relationship of attitude toward offensive advertising and brand retaliation has also proved significant. Originality/value The present study has filled a significant gap in the literature of brand hate by introducing brand hate as a mediator in the relationship of attitude toward offensive advertising and brand retaliation. It further added in the body of knowledge of brand hate by a moderated mediation mechanism of religiosity on the relationship of attitude toward offensive advertising and brand retaliation through brand hate. The present study has considered the non-offensive product being promoted through offensive advertising and explored the impact of attitude toward offensive advertising on brand hate and brand retaliation in Muslim consumers.
Understanding the effects of personality traits on solver engagement in crowdsourcing communities: a moderated mediation investigation

PurposeCrowdsourcing communities enable companies to post challenges that are completed by solvers (workers); their success depends on engagement, requiring both creativity and effort. This study explores solver engagement in online crowdsourcing communities, advancing the theory of trait engagement by investigating the mediating roles of: (a) task-related self-efficacy in linking conscientiousness, neuroticism and extraversion, with solver engagement, and (b) task complexity in influencing the mediation.Design/methodology/approach215 valid responses were obtained from solvers engaged in the popular Chinese crowdsourcing community, Epwk.com, using an online questionnaire. PLS was then used to analyze the data.FindingsResults show that self-efficacy mediates the relationships for conscientiousness, neuroticism and extraversion, with solver engagement. Moderated mediation analysis revealed that self-efficacy mediates the relationships for: (a) conscientiousness and extraversion, for only solvers with high task complexity; and (b) neuroticism, for only solvers with low task complexity.Originality/valueThe authors’ findings underscore the importance of accounting for solvers' situational contexts when examining the relationships between personality, self-efficacy and solver engagement in online crowdsourcing communities.
A specific perspective: Subway driver behaviour recognition using CNN and time‐series diagram

Urban rail transit, especially the subway, has been booming in China for a decade, imposing safety challenges on all related parties. Drivers’ behaviours are particularly crucial. Typically, drivers’ actions are recorded by cameras, and the surveillance videos are evaluated manually. Current driver behaviour recognition methods mostly target the bus or car drivers and can hardly be implemented for subways, because subway drivers follow a rigid working code that needs a time sequence of movements to describe. In this study, we propose a recognition model to automatically recognise behaviours from single-frame images that are extracted from surveillance videos; second, we convert the recognition results into time series diagrams, thus the recognised behaviours can be interpreted and analysed statistically and effectively. The validation experiments demonstrate that the convolutional neural network model can recognise 96.20% driver behaviours, and time series diagrams add time information to the behaviours, providing a convincible reference for subway driver evaluation