Miracle-dz/UniFAR-FTUs huggingface dataset:
Oilseed Rape Shares Abundant and Generalized Pollinators with Its Co-Flowering Plant Species

Simple Summary Plants in semi-natural areas provide food resources for pollinators that visit pollinator-dependent crop species, such as Oilseed Rape (OSR). Here, we study the patterns of pollinator visitation on OSR and its co-flowering plants in adjacent semi-natural areas. We find that OSR is visited by pollinators that are abundant in the community and that these pollinators also visit co-flowering plant species in semi-natural areas. OSR primarily influences the pollination of plant species which have similar floral traits (i.e., other disc flowers). Plant species that attract a high abundances of bumblebees, wild bees, flies, and beetles influence the pollination of OSR the most. Our results suggest that plant species in semi-natural areas that support the high abundances of common pollinators which are generalized in their visitation are most important to the pollination of OSR, and that such plant species do not necessarily have similar floral traits to OSR. Abstract Mass-flowering crops, such as Oilseed Rape (OSR), provide resources for pollinators and benefit from pollination services. Studies that observe the community of interactions between plants and pollinators are critical to understanding the resource needs of pollinators. We observed pollinators on OSR and wild plants in adjacent semi-natural areas in Sachsen-Anhalt, Germany to quantify (1) the co-flowering plants that share pollinators with OSR, (2) the identity and functional traits of plants and pollinators in the network module of OSR, and (3) the identity of the plants and pollinators that act as network connectors and hubs. We found that four common plants share a high percentage of their pollinators with OSR. OSR and these plants all attract abundant pollinators in the community, and the patterns of sharing were not more than would be expected by chance sampling. OSR acts as a module hub, and primarily influences the other plants in its module that have similar functional traits. However, the plants that most influence the pollination of OSR have different functional traits and are part of different modules. Our study demonstrates that supporting the pollination of OSR requires the presence of semi-natural areas with plants that can support a high abundances of generalist pollinators.
IS TWO ALWAYS BETTER THAN ONE? Customer Perception on the Merger of Startup Decacorn Companies

Recently, the two decacorn Startups in Indonesia decided to collaborate with a merger scheme and accumulate over 100 million monthly active users. The Merger triggers a new perception for customers and has an impact on the level of Brand Loyalty. However, no research examines how customer perception to mergers between the startup with decacorn status. Therefore, this study intends to fill this gap. Using the mix method approach, this study investigates how customer perception of startups’ mergers decacorn status and examines its effect on customer behavior. The findings revealed that customer self-congruency successfully mediates the research gap between customer perceptions on merger scheme (sig. 0.000 < 0.05, β = 0.575) and purchase intention (sig. 0.000 < 0.005, β = 0.390) by combining impulse buying strategies (sig. 0.003 < 0.05, β = 0.329). The paper contributes theoretically to the body of knowledge in the customer’s perception of the merging company. The study also gives new insight that customers’ perception of the Merger of two decacorn companies cannot guarantee that customers will be loyal to the company without connecting the customer self-congruency in each partner. It is recommended that the manager gain stimulus in building conformity of company image with customer perceptions that create self-congruency.
Thermal analysis of high‐power lithium‐ion battery packs using flow network approach

High‐power applications of lithium‐ion batteries require efficient thermal management systems. In this work, a lumped capacitance heat transfer model is developed in conjunction with a flow network approach to study performance of a commercial‐size lithium‐ion battery pack, under various design and operating conditions of a thermal management system. In order to assess the battery thermal management system, capabilities of air, silicone oil, and water are examined as three potential coolant fluids. Different flow configurations are considered, and temperature dispersions, cell‐averaged voltage distributions, and parasitic losses due to the fan/pump power demand are calculated. It is found that application of a coolant with an appropriate viscosity and heat capacity, such as water, in conjunction with a flow configuration with more than one inlet will result in uniform temperature and voltage distributions in the battery pack while keeping the power requirement at low, acceptable levels. Simulation results are presented and compared with literature for model validation and to show the superior capability of the proposed battery pack design methodology. Copyright © 2014 John Wiley & Sons, Ltd.
Mechanisms of SARS-CoV-2 Evolution Revealing Vaccine-Resistant Mutations in Europe and America

The importance of understanding SARS-CoV-2 evolution cannot be overlooked. Recent studies confirm that natural selection is the dominating mechanism of SARS-CoV-2 evolution, which favors mutations that strengthen viral infectivity. Here, we demonstrate that vaccine-breakthrough or antibody-resistant mutations provide a new mechanism of viral evolution. Specifically, vaccine-resistant mutation Y449S in the spike (S) protein receptor-binding domain, which occurred in co-mutations Y449S and N501Y, has reduced infectivity compared to that of the original SARS-CoV-2 but can disrupt existing antibodies that neutralize the virus. By tracking the evolutionary trajectories of vaccine-resistant mutations in more than 2.2 million SARS-CoV-2 genomes, we reveal that the occurrence and frequency of vaccine-resistant mutations correlate strongly with the vaccination rates in Europe and America. We anticipate that as a complementary transmission pathway, vaccine-breakthrough or antibody-resistant mutations, like those in Omicron, will become a dominating mechanism of SARS-CoV-2 evolution when most of the world’s population is either vaccinated or infected. Our study sheds light on SARS-CoV-2 evolution and transmission and enables the design of the next-generation mutation-proof vaccines and antibody drugs.
Personality Profile of the Self-Identified Highly Sensitive Person

Abstract. The current paper presents a detailed examination of a lay theory perspective on the Sensory-Processing-Sensitivity (SPS) personality profile within the Five-Factor Model (FFM) of personality. The lay SPS personality profile was assessed by asking self-identified highly sensitive people to rate themselves on a Five-Factor Model questionnaire (NEO-PI-3). We applied the NEO-PI-3 norms (domains and facets) and examined the inter-rater agreement of the facets. The sample consisted of 560 (female: 86.43%, Mage = 37.36 years, SDage = 6.64 years, 18.17–47.42 years) self-identified highly sensitive adults. Six facets, in particular, stood out with good and very good inter-rater agreement: participants fell within the highest 23% of the population on facets Fantasy, Aesthetics, Feelings (Openness to Experience); Anxiety, Depression (Neuroticism); and the lowest 23% of the population on the facet Gregariousness (Extraversion).
Mobile perceived trust mediation on the intention and adoption of FinTech innovations using mobile technology: A systematic literature review

The banking and financial sectors have witnessed a significant development recently due to financial technology (FinTech), and it has become an essential part of the financial system. Many factors helped the development of this sector, including the pandemics such as Covid-19, the considerable increasing market value of the FinTech sector worldwide, and new technologies such as blockchain, artificial intelligence, big data, cloud computing and mobile technology. Moreover, changes in consumer's preferences, especially the Z-generation (digital generation). FinTech shifted the traditional business models to mobile platforms characterized by ease of access and swift transactions. Mobile technology became the main backbone for FinTech innovations and acts as a channel to deliver FinTech services that overcome all geographical and timing barriers, thus enhancing financial inclusion. Mobile perceived Trust (MPT), or the trust in using financial business models via mobile technology, is a crucial factor in the FinTech context that has mediation effects on the intention and adoption of different FinTech business models. Unfortunately, few studies have explored MPT mediations on consumers' intention to adopt FinTech innovations using mobile technology. Typically, many studies examined trust/MPT as an independent and unidirectional variable and investigated its effects on behaviour intention without predicting its mediation effects. This study aimed to develop a systematic literature review on MPT mediation in FinTech, focusing on the period from 2016 and 2021, in journals ranked Q1 and Q2, and known-based theories such as the technology acceptance model, the unified theory of acceptance and use of technology, and the mobile technology acceptance model. This study found that only four articles were published in Q1 and Q2 journals. In these articles, the MPT was used as a mediator, and its effects were measured on the intention and adoption of the behaviour.
Development of an Oversaturated Speed–Flow Model Based on the Highway Capacity Manual

Oversaturated speed, flow, and density relationships are of key importance to studies of freeway operations. The Highway Capacity Manual (HCM) oversaturated model, which is defined by a linear transition from the flow and the density at capacity to a zero flow at jam density in the flow–density space, provides a reasonable representation of this relationship but does not provide an unbiased representation for all freeway facilities with different road conditions or driver behavior. This study proposes a method for fitting the HCM model to oversaturated flow and density. Fifteen-minute aggregated flow rate and speed data were collected in 2010 from Traffic.com fixed-location sensors at three sites on North Carolina urban freeways. Density was calculated as the flow rate divided by the speed. The fitted models for these sites were compared with the default HCM model. A set of thresholds was defined to identify eligible sensor observations that represented the steady-state congested traffic conditions. The results revealed that data observations during inclement weather, lane closures, or incidents biased the model-fitting results and therefore needed to be filtered out. The steady-state congestion data identified in the manner proposed in this study fit well with the HCM-based linear flow–density oversaturated model. This method avoids possible bias caused by capacity and jam density differences between the default HCM model and the site-specific models; therefore, the fitted models represented the actual traffic characteristics relationships better than the default HCM models did. Fitting a site-specific HCM-based model is recommended for sites with sufficient speed and flow data.
Advanced Quantitative Lipoprotein Characteristics Do Not Relate to Healthy Dietary Patterns in Adults from a Mediterranean Area

We aimed to assess the potential relationship between dietary patterns (i.e., Mediterranean diet and healthy eating) and the advanced lipoprotein profile (ALP) in a representative cohort of the Mediterranean population. Thus, ALP data from 1142 participants, including 222 with type 1 (19.4%) and 252 type 2 diabetes (22.1%), and 668 subjects without diabetes were used to study cross-sectional associations between quantitative characteristics of lipoproteins and adherence to the Mediterranean diet. The alternate Mediterranean diet score (aMED) and the alternate healthy eating index (aHEI) were calculated. The ALP was determined by nuclear magnetic resonance (NMR) spectrometry. Bivariable and multivariable analyses were performed. Participants in the third tertile of the aMED showed higher levels of low-density lipoprotein triglycerides (LDL-TG) (mean (SD) 17.5 (5.0); p = 0.037), large high-density lipoprotein particles (HDL-P) (0.3 (0.1); p = 0.037), and medium low-density lipoprotein particles (LDL-P) (434.0 (143.0); p = 0.037). In comparison with participants in the second and first tertiles of the aHEI, participants in the third tertile had higher levels of LDL-TG (17.7 (5.0); p = 0.010), and large HDL-P (0.3 (0.1); p = 0.002), IDL-C (11.8 (5.0); p = 0.001), intermediate-density lipoprotein triglycerides (IDL-TG) (13.2 (4.2); p < 0.001), LDL-TG (17.7(5.0); p = 0.010), high-density lipoprotein triglycerides (HDL-TG) (14.5 (4.4); p = 0.029,) large HDL-P (0.3 (0.1); p = 0.002) and very–low-density lipoprotein particles (VLDL-P) size (42.1 (0.2); p = 0.011). The adjusted-multivariable analysis for potential confounding variables did not show any association between the lipoproteins and dietary patterns (i.e., aMED and aHEI). In conclusion, none of the quantitative characteristics of lipoproteins were concomitantly associated with the extent of adherence to the Mediterranean diet measured using the aMED or aHEI scores in the studied population. Our findings also revealed that people with the highest adherence were older, had a higher body mass index (BMI) and more frequently had dyslipidemia, hypertension, or diabetes than those with the lowest adherence to the Mediterranean diet (MDiet). Thus, further research may be needed to assess the potential role of the dietary pattern on the ALP.
Suppressing electroabsorption with intra-step-barrier quantum wells for high-power electroabsorption modulators

Asymmetric intra-step-barrier quantum wells (IQWs) are examined to show that an electric field directed from the deeper well to the step barrier can produce suppression in electroabsorption. The IQW electroabsorption modulator is shown experimentally to delay electroabsorption up to /spl sim/2.5 V. Preliminary optical saturation measurement of the modulator indicates that the RF link gain does not saturate up to /spl sim/12 dBm optical power.
Characterization of Fibrous Wollastonite NYAD G in View of Its Use as Negative Standard for In Vitro Toxicity Tests

Today, despite considerable efforts undertaken by the scientific community, the mechanisms of carcinogenesis of mineral fibres remain poorly understood. A crucial role in disclosing the mechanisms of action of mineral fibres is played by in vitro and in vivo models. Such models require experimental design based on negative and positive controls. Commonly used positive controls are amosite and crocidolite UICC standards, while negative controls have not been identified so far. The extensive characterisation and assessment of toxicity/pathogenicity potential carried out in this work indicate that the commercial fibrous wollastonite NYAD G may be considered as a negative standard control for biological and biomedical tests involving mineral fibres. Preliminary in vitro tests suggest that wollastonite NYAD G is not genotoxic. This material is nearly pure and is characterized by very long (46.6 µm), thick (3.74 µm) and non-biodurable fibres with a low content of metals. According to the fibre potential toxicity index (FPTI) model, wollastonite NYAD G is an inert mineral fibre that is expected to exert a low biological response during in vitro/in vivo testing.
Optimum design and experimental study of multiple tuned mass dampers with limited stroke

This paper develops a two‐stage optimum design procedure for multiple tuned mass dampers (MTMD) to reduce structural dynamic responses with the limitation of MTMD's stroke. A new performance index, which is a linear combination of structural response ratio and MTMD stroke ratio by a weighting factor α, is proposed; α is in the range from 0 to 1.0. The larger the α, the more important the stroke. The case of α=1.0 indicates that MTMD is locked. The analytical results show that the MTMD's stroke can be significantly suppressed with little sacrifice of structural control effectiveness when an appropriate α is selected. To verify the design algorithm, a 360 kg‐MTMD composed of five TMD units arranged in parallel was fabricated. Shaking table tests of a large‐scale three‐story building with and without the MTMD under earthquake excitations were conducted at the National Center for Research on Earthquake Engineering (NCREE) in Taiwan. The experimental results show that MTMD is not only effective in mitigating the building responses but also is successful in suppressing its stroke. Copyright © 2010 John Wiley & Sons, Ltd.
Investigations of electromagnetic acceleration and related energy sources in Ukraine

A brief description of Ukrainian research in the area of electromagnetic acceleration and related energy sources is given. Some important historical facts regarding the development of this field in Ukraine are mentioned. The analysis covers the railgun, solenoid gun and coilgun. The theoretical background of this research and simulation tools are described briefly. Capacitive and inductive storage techniques, macrobody accelerators and research on rotating magnetic flux compression pulsed current generators are discussed.
The Influence of Auspicious Food Names on Consumer Behavior: The Moderating Effect of Superstitious Belief

ABSTRACT The extant literature has demonstrated the significant effect of food names on consumer behavior. However, few studies focused on food names with auspicious meanings. Thus, this study proposes an attribute-value-satisfaction-intention (AVSI) model to enhance our understanding of the effect of food names on consumer behavior. Data were collected from 483 Chinese consumers who had recently purchased auspiciously named food products. The results indicate that both the meaning and the linguistic characteristics of food name attributes had a positive influence on consumer values. Consumer values also significantly affected repurchase intention directly and indirectly through satisfaction. Furthermore, individuals’ superstitious beliefs served as a partial moderator. This study’s results provide important insights for developing effective marketing strategies to increase consumer loyalty.
Autoregressive (AR) and autoregressive moving average (ARMA) spectral estimation techniques for faster TLM analysis of microwave structures

Autoregressive (AR) and autoregressive moving average (ARMA) techniques have been successfully implemented in conjunction with the transmission line matrix (TLM) method for efficient time-domain analysis of microwave structures. The AR technique can be used to compute the full time-domain response from a relatively short segment of the early TLM response. It was found that the least-square technique of estimating the AR parameters requires a shorter time record than solving Yule-Walker equations through the Levinson-Durbin algorithm. The ARMA technique can be used to compute the scattering parameters of microwave structures without using the discrete Fourier transform. A recursive least square covariance ladder algorithm has been used for ARMA modeling. Both AR and ARMA models have been validated by applying them to waveguide and suspended substrate stripline filters. With these techniques, the speed of the computationally intensive TLM algorithm can be increased up to five times. >
Annali di Ca’ Foscari. Serie orientale

This paper reports the recent discovery of the autograph of Giorgio da Mistra, an apprentice of the famous Greek icon painter Theodoro Poulakis, on an icon of Saint Demetrius. In order to check its authenticity and give a plausible dating, the Author compares the biography, pictorial technique and aesthetic orientation of both post-Byzantine painters. She further introduces little-known notices about the Russian acquisitions during the 19th century on the Italian antiquarian market that could have intercepted other Da Mistra’s works and, in general, are of potential interest for the study of the post-Byzantine painting.
Occupational Ocular Injuries and Utilization of Eye Protective Devices among Sawmill Workers in the Ojo Local Government Area of Lagos State, Nigeria

In this work, we carried out a cross-sectional study to assess occupational ocular injuries and utilization of eye protective devices among sawmill workers in the Ojo local government area of Lagos State, Nigeria A structured questionnaire was used to conduct face-to-face interviews among the sawmill workers. Pearson’s chi-squared test and t-test were used to test associations between variables. A p-value of less than 0.05 was considered statistically significant. A total of 215 sawmill workers with a mean age of 37.08 ± 12.07 years participated in the study. A majority (55.8%) of the participants were male (93.7%), and a majority were 21–40 years old (55.8%). Of the participants, 78.6% were aware of occupational ocular injuries and 17.7% used ocular safety devices. The major barrier to the use of eye protective devices was unavailability (43%). Workers who were ≥20 years old (p < 0.001), who received a monthly salary of less than USD 100 (p < 0.043), who had work experience of ≥10 years (p < 0.04), who were aware of ocular hazards (p < 0.03), and who did not use protective eye devices (p < 0.02) were significantly associated with occupational ocular injuries compared to others. The prevalence of occupational ocular injuries and the utilization of eye safety devices among the sawmill workers in the current study were comparable to findings from other studies. Based on the results of our study, we advise the provision of ocular protective devices for sawmill workers and policies to enforce regular utilization.
Emotional pathways to climate change responses

The first trigger to any form of personal and collective change begins with emotions. They influence whether and how our attention is drawn to stimuli, how we reflect upon those stimuli, and how we choose courses of action. Emotions are thus at the center of social responses to climate change. We offer a selective, interdisciplinary review of emotions research to inform the development of a hypothetical emotion–cognition model of climate change response, followed by exploration of the emotional precedents supporting three prevailing behavioral responses which support inaction: apathy, denial, and withdrawal. We then review research that can inform emotion triggers to pro‐climate adaptive and mitigative action. We conclude with a discussion of two key research needs: intersectionality and interdisciplinarity. Addressing these needs will enhance our ability to respond to the climate emergency.