Miracle-dz/UniFAR-FTUs huggingface dataset:
Converting perennial energy crops cup plant and field grass to arable cropping affects weed infestation, soil nitrogen mineralization and subsequent silage maize yield

Perennial energy crop (PEC) fields need to be reintegrated into the farm's crop rotation when yield performance declines after years of use or when the farm operation requires it. In this study, 8‐year‐old stands of cup plant (Silphium perfoliatum L.) and lucerne grass followed by field grass were converted to arable cropping, while continuous silage maize (Zea mays L.) grown over the same period served as a control. The study aimed to assess changes in the weed flora, control of cup plant regrowth, pre‐crop value of PECs for subsequently grown maize and N release through mineralization of crop litter and soil organic matter in the first year after converting the PECs. The previously practiced cropping systems resulted in widely divergent maize weed populations. About 90% of the cup plant volunteers were successfully eliminated by two treatments of herbicides containing clopyralid. Maize following cup plant exhibited a faster soil cover, earlier male and female flowering, taller plants and a 10.6% and 13.6% higher aboveground biomass yield than former field grass and maize respectively. The N release by mineralization of 222 and 238 kg N ha−1 following cup plant and field grass conversion, respectively, clearly exceeded the 129 kg N ha−1 observed in the maize control. The residual mineral nitrogen in the 90 cm soil profile after the maize harvest was also significantly higher in the former field grass and cup plant plots than in the maize control. The excess N in the first year after reverting to annual cropping runs the risk of N leaching. Given that N fertilization is substantially reduced after cup plant and field grass conversion, maize appears to be a well‐suited follow‐up crop due to its good suppression of cup plant volunteers and high N uptake capacity which helps minimize nutrient losses to the environment.
Catalyzed Claisen–Schmidt reaction by protonated aluminate mesoporous silica nanomaterial focused on the (E)-chalcone synthesis as a biologically active compound

The mesoporous silica structure (MSN) was synthesized using the sol–gel method followed by aluminum grafting and protonation and was then denoted as HAlMSN (Si/Al = 18.9). N2 physisorption confirmed the mesoporous structure with a pore diameter of 3.38 nm. 27Al NMR showed the presence of framework and extra-framework aluminum structures, which led to the formation of strong Lewis and Bronsted acidic sites. HAlMSN catalyzed the synthesis of (E)-chalcones through the Claisen–Schmidt reaction. Chalcone derivatives have been applied as biologically active compounds with anti-cancer, anti-inflammatory and diuretic pharmacological activities. The products were obtained via reactions on the protonic acid sites of HAlMSN. The significant advantages of this reaction are high yield, easy work up, short reaction time and also compatibility with various organic solvents. The products were obtained in an excellent conversion of 97% at 298 K. The results show that the electron donating substituents exhibit higher conversion in comparison to electron withdrawing substituents. The stability of the catalyst was investigated by reusing it five times for (E)-chalcone production and there was only a slight decrease in its catalytic activity. The highest product of (E)-chalcone was observed with a 1 : 2 molar ratio of benzaldehyde/acetophenone. A comparative study in chalcone synthesis using the heterogeneous catalysts demonstrated that HAlMSN has a significantly high activity at low temperature.
The Effect of Profitability and Financial Leverage on Cost of Debt Moderated Earnings Management

This study aims to determine the effect of profitability and Financial Leverage on the Cost of Debt, and the role of Earnings Management as a moderating variable. In this study, profitability is measured by the ratio of return on equity, financial leverage is measured by the proxy debt ratio, earnings management as measured by discretionary accruals, and cost of debt is measured by the ratio of interest expense divided by the average total debt. The population in this study are publicly traded companies listed on the IDX, and the sample used is manufacturing companies listed on the IDX for the 2016-2019 period. Based on the purposive sampling method, the samples obtained were 69 manufacturing companies and 276 observations. The results showed that profitability has a negative effect on the cost of debt, while financial leverage has no effect on the cost of debt, earnings management cannot weaken the negative effect of profitability on the cost of debt and earnings management cannot weaken the negative effect of financial leverage on the cost of debt.
Fullerene-Dependent Miscibility in the Silole-Containing Copolymer PSBTBT-08

A high fullerene molecular miscibility of over 40 wt % is found in the copolymer poly((4,4-octyldithieno(3,2-b:2′,3′-d)silole)-2,6-diyl-alt-(2,1,3-benzothiadiazole)-4,7-diyl) (PSBTBT-08)—a member of the PSBTBT low-bandgap polymer family that have produced power conversion efficiencies as high as 5.9% in solar cells. This observation suggests molecular miscibility plays a key role in the photovoltaic effect in this system. The level of miscibility is additionally measured to be highly dependent on the fullerene species with significant differences between C60- and C70-based fullerenes, highlighting a new parameter to be monitored and controlled when considering different fullerene moieties and species in organic solar cells. Surprisingly, a wide-angle X-ray scattering study reveals no significant crystallinity in the PSBTBT with octyl side chains, potentially the cause of low mobilities and in stark contrast to dodecyl and ethylhexyl PSBTBTs, which demonstrates the importance of the side chain in device mo.
Working Memory Performance under a Negative Affect Is More Susceptible to Higher Cognitive Workloads with Different Neural Haemodynamic Correlates

The effect of stress on task performance is complex, too much or too little stress negatively affects performance and there exists an optimal level of stress to drive optimal performance. Task difficulty and external affective factors are distinct stressors that impact cognitive performance. Neuroimaging studies showed that mood affects working memory performance and the correlates are changes in haemodynamic activity in the prefrontal cortex (PFC). We investigate the interactive effects of affective states and working memory load (WML) on working memory task performance and haemodynamic activity using functional near-infrared spectroscopy (fNIRS) neuroimaging on the PFC of healthy participants. We seek to understand if haemodynamic responses could tell apart workload-related stress from situational stress arising from external affective distraction. We found that the haemodynamic changes towards affective stressor- and workload-related stress were more dominant in the medial and lateral PFC, respectively. Our study reveals distinct affective state-dependent modulations of haemodynamic activity with increasing WML in n-back tasks, which correlate with decreasing performance. The influence of a negative effect on performance is greater at higher WML, and haemodynamic activity showed evident changes in temporal, and both spatial and strength of activation differently with WML.
BARRIERS RESPONSIBLE TO FEMALES’ LOW LITERACY AT THE PRIMARY LEVEL IN BALOCHISTAN PROVINCE OF PAKISTAN: SOCIAL AND ECONOMIC BARRIERS

Abstract Purpose of the study: This study finds the barriers responsible for females’ low literacy in the Balochistan province of Pakistan at the primary school level. Methodology: Qualitative research design was applied to this study. Data were collected through the interview tool and were analyzed through a thematic analysis procedure. Results were given in the form of major themes and sub-themes. Main Findings: This study gave 4 major results, which were in the form of four major themes, i.e., lack of basic facilities, lack of qualified teachers, lack of enrolment, and financial constraints. The major themes were categorized into several sub-themes. Applications of this study: This study is beneficial and applicable in Pakistani society. It attracts the attention of the layman and government to focus on female education to make the females literate at the best level. Novelty/Originality of this study: The new aspect of this study was to show the barriers responsible for females’ low literacy. It is aware of the readers that lack of basic facilities, lack of qualified teachers, lack of enrolment, and financial constraints are the barriers to females’ low literacy. It also advances the existing knowledge and bridges the gap between past and existing knowledge.
Material efficiency for climate change mitigation

“[A]ny legitimate pathway to net-zero GHG emissions must include significant changes to the ways societies manufacture and utilize materials. The 19 papers in this special issue. highlight the many ways in which the IE [industrial ecology] community, with its rigorous system-oriented tools and unparalleled materials cycle expertise, can take center stage in better quantifying, communicating, and realizing the benefits of ME [material efficiency] strategies in climate change mitigation efforts. ”
The Quality of Air in Polish Health Resorts with an Emphasis on Health on the Effects of Benzo(a)pyrene in 2015–2019

The aim of this paper was to analyze the impact of air pollution and meteorological conditions on the effectiveness of recreation in selected health resorts in Poland in 2015–2019. Four municipalities with the status of health resorts were compared in terms of exposure to harmful air pollutants such as PM10, NO2, SO2, and B(a)P in PM10. In this paper, a comprehensive statistical analysis was performed by determining the basic statistics of the measurement series. In addition, analyses of the occurrence of episodes of elevated PM10 concentrations in health resorts in Poland, as well as correlation and regression analyses, were performed. Statistical analysis showed no annual mean exceedances for the air pollutants analyzed. Average annual concentrations of harmful pollutants decreased year by year in Rabka Zdrój and also in Ciechocinek. The situation was different in Sopot and Ustroń, where the average annual pollution remained at a similar level and there was no downward trend. Studies have shown that travel to spa communities for health purposes can be problematic because air quality, while not exceeding average annual standards, is not satisfactory. To effectively address public health concerns, it is also necessary to consider meteorological conditions when analyzing air quality. A detailed analysis of the impact of meteorological conditions (average air temperature, wind speed, relative humidity, and visibility) on air quality, based on forecasts, will also help in the implementation of air protection plans and strengthen the control of harmful pollutant levels. Measures to reduce the levels of harmful pollutants will affect the effectiveness of patient treatment in spas. The article presents the correct way to conduct reliable monitoring of air quality and meteorological conditions, where it is particularly important.
Close-Packed Dye Molecules in Zeolite Channels Self-Assemble into Supramolecular Nanoladders

A tough challenge in nanomaterials chemistry is the determination of the structure of multicomponent nanosystems. Dye–zeolite L composites are building blocks of hierarchically organized multifunctional materials for technological applications. Supramolecular organization inside zeolite L nanochannels, which governs electronic properties, is barely understood. This is especially true for confined close-packed dye molecules, a regime not investigated in applications yet and that might have great potential for future development in this field. Here we realize for the first time composites of zeolite L with maximally packed fluorenone molecules and elucidate their structure by integrated multitechnique analyses. By IR spectroscopy, thermogravimetric analysis, and X-ray diffraction, we establish the maximum degree of dye loading obtained (1.5 molecules per unit cell), and by modeling we reveal that at these conditions fluorenone molecules form quasi 1-D supramolecular nanoladders running along the zeolite cha.
Impact of Corporate Governance and Financial Sustainability on Shareholder Value

Good corporate governance can play a significant role for the company’s financial sustainability and share price. Over the last few decades, administrators, researchers, and educators constantly focused on the role of corporate governance. However, studies that have been emphasized on the relationship between corporate governance, financial sustainability, and shareholder value are scant. The main purpose of this study is examined good corporate governance and financial sustainability are predictor variables that helps companies to maximize share price in food & beverage sector in Saudi Stock Exchange. The data was collected from annual reports, DataStream and Saudi Stock Exchange (Tadawul). This study employs balanced panel data and statistical techniques like descriptive statistics, correlation matrix, pooled ordinary least square and mediation techniques (Baron & Kenny and Bootstrap Approach) was tested. The results reveal that financial sustainability mediates the relationship between corporate governance (board size) and shareholder value (share price) of companies in Saudi Arabia. This study contributes by adding mediator financial sustainability between board size and share price in a developing market with particular reference to food & beverage sector in Saudi Stock Exchange.
treeducken: An R package for simulating cophylogenetic systems

Cophylogenetic methods describe discordance between non‐independent phylogenies. Simulation is necessary for testing cophylogenetic methods, but few simulators exist that are capable of generating data under explicit and biologically meaningful models. We present an R package, treeducken, for simulating host–symbiont evolution and gene‐tree–species‐tree evolution. treeducken provides a straightforward and reproducible interface for simulating cophylogenetic data. This allows easier performance testing of methods and has potential applications in machine learning (ML) and approximate Bayesian computation (ABC) approaches.
Cross-Cultural Comparison of Teachers' Attitudes Toward Educational Researches: The Case of Turkey and Kosovo

This study aims to a cross-cultural comparison of teachers' attitudes towards educational research in Turkey and Kosovo. The study is carried out according to the descriptive survey model, which is one of the quantitative research models. The study group consists of a total of 336 teachers 186 teachers from Turkey (Istanbul and Batman) and 150 teachers from Kosovo (Prizren) working in the academic year of 2018-2019. As a data collection tool, “Teacher Attitude Scale for Educational Researches” and “Personal Information Form” is used to determine the demographic characteristics of teachers. The data is analyzed with the SPSS statistics program. The data is analyzed by independent groups’t-test and one-way analysis of variance. According to the findings, it is revealed that in Turkey, the teachers' attitudes towards educational research are "high level", while in Kosovo, teachers' attitudes towards educational research are "moderate level". Moreover, as a result of cross-cultural comparisons, a significant difference is discovered between teachers' attitudes towards educational research. It is determined that this significant difference is in the sub-dimensions of the necessity of educational research and the applicability of educational research.
Three hurdles towards commercialisation: integrating subsistence chickpea producers in the market economy

Enhancing agricultural productivity through the adoption of improved technologies presents a credible pathway to economic development and poverty reduction especially through increased commercialisation of production. We used a triple hurdle (TH) model to estimate the production and commercialisation of smallholder farmers in Ethiopia. In doing so, we account for the adoption of improved Cicer arietinum (chickpea) varieties on commercialisation using a three-wave panel data set. We estimate a correlated random effect model with a control function and find the adoption of improved chickpea to have a significant positive effect on smallholder commercialisation. Our findings that are robust over different specifications and identification strategies also support the role of transaction cost in driving market participation (MP). Finally, we argue that the TH model is a better fit to the commonly used double hurdle model for MP, when not all households in a population produce a particular crop.
Impact of Entrepreneurial Self-Construction on Entrepreneurial Intention: Moderating Role of Institutions

The paper discusses the influence of individual self-construction on entrepreneurial intention from the perspective of self-cognition while considering the institutional context at the national level. The research contends that individual entrepreneurial self-construction has a positive impact on entrepreneurial intentions and the institutional context moderates the relationship between individual entrepreneurial self-construal and entrepreneurial intention. These relationships are stronger in countries with regulation, cognition, and normative which favour the creation, growth, and management of new businesses. Analysis of Global Entrepreneurship Monitoring (GEM) survey data from 60 countries and regions supports the hypotheses. The conclusions provide important implications for research of entrepreneurial intentions and the soundness of the entrepreneurial system.
Daily life and school engagement: An empirical study privileging the first-person perspectives of unaccompanied asylum-seeking adolescents in a Danish context

Drawing on the tradition of the Danish–German school of critical psychology, this empirical study discusses seven unaccompanied asylum-seeking adolescents’ experiences of the process of applying for asylum in Denmark. By privileging the first-person perspectives of the adolescents, the authors explore the conduct of their everyday lives at the asylum centre and at school. The project’s findings emphasise the societal, political, social and spatial conditions that contribute to the lack of meaningfulness the adolescents experienced regarding their engagement in schooling. In conclusion, the authors reflect on the potential in privileging the first-person perspective in social pedagogical work.
Study on cyber‐security for IoT edge utilizing pattern match accelerator

A malware detection algorithm that can be embedded in IoT edge computing is proposed in this study and validated using an emulator. This algorithm, with a pattern match accelerator, reduces the computing cost while maintaining a relatively high detection accuracy. For autonomous driving, complicated IoT edge computing must have a huge amount of embedded program codes. In such a situation, the invasion of malware can lead to compromised cybersecurity. In this study, a pattern match accelerator is implemented for such issues, thereby offering IoT edge computing that detects malware automatically. Edge computing is designed to apply simply structural level analysis algorithms using HLAC mask pattern. We developed a pseudo‐emulator system environment and conducted performance confirmation of the proposed technique using 641 chosen samples from six types of malware families. The algorithm's efficiencies demonstrated an identification performance of approximately 80%. In comparison to characteristic extraction using AI, the computing cost was reduced and these processes enable edge computing with high cybersecurity features.
The effect of LED lights on trap catches in Finnish inland fisheries

Trap fisheries can provide catches of high quality, and unwanted bycatch can be released with high survival. Light attraction could be an effective way of increasing trap catches, but research results are largely lacking. Experiments to test the effect of LED lights in trap- net fishing were conducted in two Finnish lakes where fishing targeted Eurasian perch Perca fluviatilis L. and roach Rutilus rutilus (L.). LED lights (white, green, red, blue and combinations) were attached inside the traps. The use of LED lights did not increase fish CPUE. Contrary to expectation, Eurasian perch catches were higher in traps without LED lights. Significant variation in CPUEs was observed, but without interaction with light treatments. The LED lights tested in this study do not increase the effectiveness of trap fishery targeting Eurasian perch and roach in Finnish lakes in the ice- free season.
What Information Drives Political Polarization? Comparing the Effects of In-group Praise, Out-group Derogation, and Evidence-based Communications on Polarization

This project differentiates between communication that praises one's political in-group (in-group praise), attacks the opposition (out-group derogation), or focuses on policy details (evidence based), testing their effects on network and attitude polarization. We begin with an agent-based model, which shows that congenial evidence-based exchanges polarize the network and the inclusion of identity-driven communications leads to greater polarization. Once out-group derogation reaches a certain threshold, the network of agents splits into two groups, yet the polarizing effects of in-group praise are yet stronger and emerge more rapidly (i.e., a lower threshold of in-group praise is needed to polarize the network). Using an experimental design on a sample of American partisans, we offer a partial validation of the model. In-group praise and out-group derogation polarize attitudes more than balanced evidence-based news, but not more than congenial evidence-based news. Identity-driven news also has no effects on affective polarization. This multidisciplinary evidence shows that the nature of political content matters.
Climate Shapes the Geographic Distribution and Introgressive Spread of Color Ornamentation in Common Wall Lizards

Climate can exert an effect on the strength of sexual selection, but empirical evidence is limited. Here, we tested whether climate predicts the geographic distribution and introgressive spread of sexually selected male color ornamentation across 114 populations of the common wall lizard, Podarcis muralis. Coloration was highly structured across the landscape and did not reflect genetic differentiation. Instead, color ornamentation was consistently exaggerated in hot and dry environments, suggesting that climate-driven selection maintains geographic variation in spite of gene flow. Introgression of color ornamentation into a distantly related lineage appears to be ongoing and was particularly pronounced in warm climates with wet winters and dry summers. Combined, these results suggest that sexual ornamentation is consistently favored in climates that allow a prolonged reproductive season and high and reliable opportunities for lizard activity. This pattern corroborates theoretical predictions that such climatic conditions reduce the temporal clustering of receptive females and increase male-male competition, resulting in strong sexual selection. In summary, we provide compelling evidence for the importance of climate for the evolution of color ornamentation, and we demonstrate that geographic variation in the strength of sexual selection influences introgression of this phenotype.