Miracle-dz/UniFAR-FTUs huggingface dataset:
Attractiveness of wildflower mixtures for wild bees and hoverflies depends on some key plant species

Agricultural intensification is considered to be a major driver of terrestrial biodiversity decline. Resulting loss, isolation and degradation of flower‐rich habitats are threatening pollinators. Agri‐environmental schemes (AES) aim to counteract these negative effects, including measures to enhance floral resources in agricultural landscapes. The impact of plant species composition on their efficiency to mitigate pollinator loss, however, is largely unexplored. We tested four recommended seed mixtures for their attractiveness to wild bees and hoverflies in a replicated plot design over two consecutive years against the background of the seedbank. Of the 94 available plant species, 14 key plant species were crucial for the whole flower‐visiting bee and hoverfly community. Approximately one third of each originated from the seedbank. The four top plants already supported 80% of flower visitors. Although seed mixtures differed significantly in attracting flower visitors at the plot level, the presence of key plants was more important than plant species diversity per se. Seed mixtures showed contrasting attractiveness for wild bees and hoverflies. Identification of plant species exclusively utilised by specific taxonomic groups opens opportunities for assorting plant mixtures for specific ecosystem functions or taxa of conservation concern. Plant species shared by common pollinators are valuable for overall pollinator diversity. The fact that rare and specialised pollinator species were mostly absent, however, substantiates that within 2 years of establishment, flowering resources are not the sole limiting factor in modern agricultural landscapes. Considering additional resources seems indispensable to maximise the conservation of species‐rich pollinator communities.
Unary profile of lambda terms with restricted De Bruijn indices

In this paper we present an average-case analysis of closed lambda terms with restricted values of De Bruijn indices in the model where each occurrence of a variable contributes one to the size. Given a fixed integer k, a lambda term in which all De Bruijn indices are bounded by k has the following shape: It starts with k De Bruijn levels, forming the so-called hat of the term, to which some number of k-colored Motzkin trees are attached. By means of analytic combinatorics, we show that the size of this hat is constant on average and that the average number of De Bruijn levels of k-colored Motzkin trees of size n is asymptotically Θ(√ n). Combining these two facts, we conclude that the maximal non-empty De Bruijn level in a lambda term with restrictions on De Bruijn indices and of size n is, on average, also of order √ n. On this basis, we provide the average unary profile of such lambda terms.
The Effect of Formulation Diets Based on Digestible Amino Acids and Lysine Levels on Carcass and Chemical Composition of Broiler

This study was conducted to evaluate the carcass yield, abdominal fat deposition and chemical compositions of thigh and breast muscles of male Arian broilers fed three different lysine levels of 1) high lysine (110% NRC), 2) standard level suggested by National Research Council (NRC) and 3) low lysine (90% NRC) based on two expression ways of amino acid contents of feedstuffs, as total amino acids (TAA) or digestible amino acids (DAA). Three hundred one day old male broiler chickens were used in a completely randomized design with 6 treatments of 5 replicates (10 male broilers). All diets were iso-caloric and iso-nitrogenous. The results of this study showed that diet formulation based on DAA significantly influenced breast muscle yieldand abdominal fat deposition. High lysine level (110% NRC) significantly improved carcass yield, breast and thigh muscle percentages and weights. The interaction between DAA × lysine levels of the feed affects carcass and breast muscle percentages of the broilers. Feeding the broilers with high level lysine containing diets (110% NRC) resulted in significantly high lysine content of the breast and thighmuscles. The results of this study suggest that diet formulation based on digestible amino acids with additional lysine at the level of 110% of NRC in starter and grower diets optimized body weight gain in Arain male broilers.
Molecular downstaging: a new paradigm for neoadjuvant endocrine therapy

on: Prat A, Saura C, Pascual T, et al. Ribociclib plus letrozole versus chemotherapy for postmenopausal women with hormone receptor-positive, HER2-negative, luminal B breast cancer (CORALLEEN): an open-label, multicentre, randomised, phase 2 trial. Lancet
Effects of DC-Field Excitation on the Incremental Inductance of a Variable Flux Reluctance Machine

This article presents a method for the computation of the incremental inductances in a 12/10 variable flux reluctance machine (VFRM) using the hybrid analytical modeling coupled with a fixed-point nonlinear solver. The variation of incremental and apparent inductance with respect to the dc-field excitation is investigated for both zero and non-zero ac-field excitations. The results show that the difference between both inductance values is not negligible after 25 A/mm2 dc-current density for the investigated benchmark without the ac field. Moreover, when a non-zero ac field is introduced in addition to the dc-field, the apparent inductance becomes misleading not only under magnetic saturation but also under low excitation in the linear region of the saturation curve. The results obtained with the proposed nonlinear hybrid model are compared with the finite element method in terms of magnetic flux density distribution and incremental inductance value. The root-mean-square discrepancy of magnetic flux density distribution is found to be 37.6 mT. Furthermore, the discrepancy between incremental inductance results of the proposed method and the finite element model is calculated as 1.43%, while the proposed approach requires less post-processing and necessitates ten times less number of degrees-of-freedom.
Tubulin post‐translational modifications control neuronal development and functions

Microtubules (MTs) are an essential component of the neuronal cytoskeleton; they are involved in various aspects of neuron development, maintenance, and functions including polarization, synaptic plasticity, and transport. Neuronal MTs are highly heterogeneous due to the presence of multiple tubulin isotypes and extensive post‐translational modifications (PTMs). These PTMs—most notably detyrosination, acetylation, and polyglutamylation—have emerged as important regulators of the neuronal microtubule cytoskeleton. With this review, we summarize what is currently known about the impact of tubulin PTMs on microtubule dynamics, neuronal differentiation, plasticity, and transport as well as on brain function in normal and pathological conditions, in particular during neuro‐degeneration. The main therapeutic approaches to neuro‐diseases based on the modulation of tubulin PTMs are also summarized. Overall, the review indicates how tubulin PTMs can generate a large number of functionally specialized microtubule sub‐networks, each of which is crucial to specific neuronal features.
The Moderating Role of Self-Consciousness in the Effect of Work-Family Conflict on Work Engagement

In this study, it was aimed to determine the moderating role of self-consciousness in the effect of work-family conflict on work engagement. This research conducted on 438 academics working in two public universities in Turkey has the relational model. The model created for research purposes was tested with SPSS Process macro software. As a result of the research, significant negative relations were found between work-family conflict and work engagement. Again, As a result of the hierarchical regression analysis, it was observed that self-consciousness does plays a moderating role in the effect of work-family conflict on the job attachment and vigor, sub-dimension of vigor and dedicatin. Accordingly, individuals with high self-consciousness feel less of the negative effects of work-family conflict than individuals with low self-consciousness.
Genetic variability in Cantabrian chamois (Rupicapra pyrenaica parva Cabrera, 1910)

Genetic Variation in 177 Cantabrian chamois {Rupicapra pyrenaica parva) from six sampling areas (Cantabrian Mountains, North of Spain) was examined by means of horizontal starch gel electrophoresis. Nineteen enzyme Systems were screened in liver and muscle samples, representing a total of 37 presumptive structural loci. Four loci were Polymorphie in at least one of the study areas (EST-3, ME, MPI and PT-2). Genetic variability within local samples was low (P = 0.08 and He = 0.02). No relevant differences in allele frequencies among these samples were detected, and relatively high gene flow between geographically apparently isolated populations was found (Fst = 0.072 and D between 0.000 and 0.007). These results are discussed with regard to Variation of other chamois subspecies.
Competitiveness Scale as a Basis for Brazilian Small and Medium-Sized Enterprises

Abstract This paper aims to present a competitiveness scale, outlining the variables that influence competitiveness in small and medium-sized enterprises (SMEs) in Southern Brazil. Using survey data from 72 industrial SME managers, the Multi-Attribute Utility Theory (MAUT) was applied to a model to measure Brazilian SMEs’ competitiveness rates. The variables that influence their competitiveness were identified and structured in a decision tree with three levels: key performance indicators (KPIs), critical success factors (CSFs), and fundamental points of view (FPVs). It was possible to identify the KPIs, CSFs, and FPVs that are more important for SMEs’ competitiveness and measure their competitiveness rates. The managerial decision-making processes in SMEs can be defined following the competitiveness standards in this research.
Assessing the influence of subcultures and liquid medium during somatic embryogenesis and plant regeneration in oil palm (Elaeis guineensis Jacq.)

ABSTRACT The current analysis describes an improved protocol for somatic embryogenesis and plant regeneration in oil palm (Elaeis guineensis) through liquid medium, and assesses the influence of successive subcultures during induction of calluses in three Brazilian oil palm varieties. Calluses were induced in a Murashige and Skoog (MS) medium with 450 Picloram, 0.5 g L−1 glutamine, 2.5 g L−1 activated charcoal, 30 g L−1 sucrose, and solidified with 2.5 g L−1 Phytagel. In a first experiment, the effect of continued subculture of explants every 30 days to fresh culture medium was determined. During a second experiment, part of the embryogenic calluses obtained were transferred to a liquid medium under agitation, consisting of MS with 5 µM picloram or 2,4-dichlorophenoxyacetic acid (2,4-D). After 210 days, the calluses were transferred to semi-solid media for differentiating somatic embryos. It was observed that continued subculture of explants monthly was a determinant in stimulating and improving the formation of embryogenic calluses. Embryogenic calluses in liquid medium with 2,4-D significantly improved the percentage of differentiated somatic embryos (up to 80.2%), with the largest amount of torpedo embryos (8.3 per callus). Regenerated plants with roots were individualised and transferred to a greenhouse, with close to 95% survival.
Dynamics of Translation

Translation is a complex process, involving assembly of the 70S complex at a start codon during initiation, repetitive tRNA selection, peptide bond formation and translocation events during elongation, and termination. To complement the growing structural information on the ribosome, we have used single‐molecule fluorescence methods to observe the dynamics of ribosome and its ligands during translation. We will present an overview of our work that focuses on events during initiation, ribosomal and tRNA dynamics during elongation, and observation of global protein synthesis using single‐molecule methods. The results of this work provide new perspectives on the timescales and molecular nature of dynamics in translation, and the approaches presented here are generally applicable to other complex systems in biology.
Antibacterial properties of Kelulut, Tualang and Acacia honey against fourteen clinically-isolated strains of bacteria-infecting wound

Bacterial infection is the most common cause of prolonged wound healing period. Honey has been known as an effective antibacterial agent due to its peroxide and non-peroxide activities to prevent bacterial infection. This study aims to investigate antibacterial property of three varieties of Malaysian honey represented by two multifloral; Kelulut and Tualang, and one monofloral; Acacia against fourteen isolated bacteria from wounds of three patients. Agar well diffusion assay was used to screen the antibacterial property of these honey. Minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) were performed for antibacterial evaluation at a concentration range of 60% (w/v) to 5% (w/v). This method was utilised to analyse the total and non-peroxide activities of the honey against all clinically isolated bacterial strains. The initial screening has demonstrated Kelulut as a strong antibacterial agent than Tualang and Acacia which was comparable to medical-grade Manuka (UMF 18+). The MICs for Kelulut, Tualang, and Acacia were observed to range from 5% (w/v) to 12.5% (w/v), 12.5% (w/v) to 30% (w/v), and 25% (w/v) to 50% (w/v) respectively, while the range was between 5% (w/v) and 15% (w/v) for Manuka. The difference for peroxide and non-peroxide activities recorded were statistically significant (p<0.05) for Kelulut, Tualang, and Manuka, excluding Acacia. Malaysian honey do possess antibacterial property against clinically isolated bacteria from wound in which Kelulut honey was identified to have a close similarity to the medical-grade Manuka. Based on our results, Kelulut has shown the strongest antibacterial activity and can be considered as one of the alternative treatments to reduce the healing period of infected wound.
Comparative Study of Service Quality on VIP Customer Satisfaction in Internet Banking: South Korea Case

For Internet banking to compete effectively with traditional brick-and-mortar banking, managers must identify the key determinants of customer satisfaction. While many studies exist on Internet banking, and there is a large base of marketing literature on customers’ perceptions of luxury products, research on the service quality of luxury brands in Internet banking is scarce. Our study investigates service quality that exert influence on customer satisfaction with Internet banking most, along with the moderating role of customer type on the relation between service quality and customer satisfaction. The moderation analysis in our study is the test of difference between general customers and VIP customers which are created according to customer type. Using a web survey of 645 general and VIP (very important person) customers who use Internet banking systems, we examined the effects of fix factors that have an influence on service quality: usefulness, ease of use, and system security, reliability, responsiveness, and empathy. In the full sample, all factors that affect Internet banking quality also affected customer satisfaction significantly. Usefulness, ease of use, and system trust, responsiveness, and empathy are more important in VIP customer satisfaction than in that of general customers, while system security is a more important factor for general than for VIP customers. Our study results indicate that general and VIP customers differently perceive service quality that are relevant to customer satisfaction.
Assessing Hydrological Vulnerability to Future Droughts in a Mediterranean Watershed: Combined Indices-Based and Distributed Modeling Approaches

Understanding the spatiotemporal distribution of future droughts is essential for effective water resource management, especially in the Mediterranean region where water resources are expected to be scarcer in the future. In this study, we combined meteorological and hydrological drought indices with the Soil and Water Assessment Tool (SWAT) model to predict future dry years during two periods (2035–2050and 2085–2100) in a typical Mediterranean watershed in Northern Morocco, namely, Bouregreg watershed. The developed methodology was then used to evaluate drought impact on annual water yields and to identify the most vulnerable sub-basins within the study watershed. Two emission scenarios (RCP4.5 and RCP8.5) of a downscaled global circulation model were used to force the calibrated SWAT model. Results indicated that Bouregreg watershed will experience several dry years with higher frequency especially at the end of current century. Significant decreases of annual water yields were simulated during dry years, ranging from −45.6% to −76.7% under RCP4.5, and from −66.7% to −95.6% under RCP8.5, compared to baseline. Overall, hydrologic systems in sub-basins under the ocean or high-altitude influence appear to be more resilient to drought. The combination of drought indices and the semi-distributed model offer a comprehensive tool to understand potential future droughts in Bouregreg watershed.
Conversational AI - A Retrieval Based Chatbot

—Conversational AI can be simply deﬁned as human-computer interaction through natural conversations. This may be through a chatbot on a website or any social messaging app, a voice assistant or any other interactive messaging-enabled interfaces. This system will allow people to ask queries, get opinions or recommendations, execute needed transactions, ﬁnd support or otherwise achieve a goal through conversations. Chatbots are basically online human-computer dialog system with natural language. Currently, advancements in natural language processing and machine learning mechanism have improved chatbot technology. More commercial and social media platforms are now employing this technology in their services. Organisations demands artiﬁcial intelligence based improvements in chatbot adoption and thus it became one of the hot research. In this work, a task-oriented retrieval based chatbot has been proposed on a bus ticket booking domain which is built using a Deep Neural Network. The sequence of questions that are being asked by multiple users with different kinds of personas are taken as the input for the system. And accordingly the retrieval based system produces meaningful responses. The generated responses are evaluated manually. The results show that the generated answers are meaningful in most of the cases.
Association between the Reasons for and Time Spent Doing Physical Activity, Two Variables with Little Relationship. an Approach from the Eurobarometer Survey.

Low levels of physical activity (PA) and sedentarism are associated with the onset of different pathologies and health problems. Regular physical activity has been linked with being beneficial to the health of the general population. Within this framework of analysis, the aim of the present study is to analyse the existing association between the time spent doing physical activity and the expressed motives for doing so, from which the first innovative aspect of the paper emerges: the use of the time spent doing PA as a study variable of the phenomenon. The data analysed come from the latest special Eurobarometer survey about the sport and physical activity done in Europe. Using an exploratory factorial analysis and a structural equations model, we were able to find a six-dimensional factorial model that explains the reasons for doing PA, demonstrating that there is no relationship between the reasons for and time spent doing PA. Therefore, motivation is not a variable that explains the time spent doing PA and another type of variable must be used to explain the phenomenon if PA is to be incentivised.
"Don't Just Come for Yourself": Understanding Leadership Approaches and Volunteer Engagement in Community Gardens

Community gardening initiatives are popular interventions for health promotion and the development of socially inclusive local agricultural models. The leadership of such gardens is critical for their long-term success and sustainability. This study describes the leadership styles of garden managers, as well as how managers recruited and interacted with volunteers. Thirteen community garden managers were interviewed, and 48 community garden volunteers participated in six focus groups. Transcripts were coded with Dedoose software using a conventional content analysis, which led to the development of thematic clusters in consultation with a qualitative data expert. During the analytic process, codes were refined and added, and three themes were identified: managers struggled to recruit and retain volunteers capable of maintaining gardens; garden managers’ leadership styles were either collaborative or directive; and garden participants emphasized managers’ organization and openness to ideas. Leadership styles varied among managers, and participants acknowledged and appreciated elements of both leadership styles. a Department of Health Behavior, University of North Carolina Gillings School of Global Public Health b Department of Maternal and Child Health, University of North Carolina Gillings School of Global Public Health c University of North Carolina Center for Health Promotion and Disease Prevention d Department of Nutrition, University of North Carolina Gillings School of Global Public Health * Corresponding author: Brett Sheppard, UNC Center for Health Promotion and Disease Prevention, University of North Carolina at Chapel Hill; 1700 Martin Luther King Jr. Boulevard, CB# 7426; Chapel Hill NC 27599-7426 USA; +1-571447-8950; brshep@email.unc. edu Funding Disclosure This manuscript was developed with funds provided by the U.S. Department of Agriculture's (USDA) Supplemental Nutrition Assistance Program Education (SNAP-Ed), award number 00036242. The USDA is an equal opportunity
Global Collaboration Research Strategies for Sustainability in the Post COVID-19 Era: Analyzing Virology-Related National-Funded Projects

In the post-COVID-19 era, virology-related research, which not only depends on the governments as its main source of funding but also requires international and interdisciplinary collaborations, is recognized as an essential defense for sustainability. Few published studies have examined the trend, but only for certain viruses before the mid-2010s. Moreover, it is challenging to define generally accepted virology-related research fields due to its broad spectrum. Thus, it is time that we confront the unprecedented pandemic to understand the status of nationally supported projects in developed nations to establish international collaborative research strategies from an interdisciplinary perspective. In this study, 32,365 national-funded projects were collected from the US, EU, and Japan and assigned to five scientific fields to conduct a cluster analysis. Then, an expert-based approach was utilized to define an individual cluster. Moreover, a comparative analysis between nations was carried out to determine if there was a competitive edge for collaboration. As a result, a framework for virology-related research areas was constructed to provide the status quo and differences between nations’ research capabilities, thereby eliciting practical global research and development (R&D) cooperation to achieve a common agenda and a direction for goals in the post-COVID-19 era. These findings have implications for viral response R&D, policy, and practice for future pandemics. A systematic approach based on scientific evidence and an R&D collaboration strategy between industry and academia is essential to resolve the interdisciplinary barriers between countries and promote sustainable virus R&D collaboration.