Miracle-dz/UniFAR-FTUs huggingface dataset:
Introgression in black poplar (Populus nigra L. ssp. nigra) and its transmission

: Introgression was studied in the offspring of P. nigra and P. × canadensis female trees using 3 enzymatic patterns (6-PGD, LAP and GPI). Our investigations were aimed at the offspring from open pollination and controlled pollination by the pollen mixture from 3 clones of P. nigra and 3 clones of P. × canadensis. The rate of introgression in P. nigra offspring from open pollination was 0.67%. Introgression in 3 offsprings of P. nigra from controlled pollination was 7.14%. In P. × canadensis the heterozygous: homozygous phenotype ratio in 2 offsprings from open pollination was 1:1; it documents prevailing fertilization by P. nigra pollen. After fertilization by the pollen mixture this segregation ratio was 1:1 (6-PGD; GPI) or 3:1 (LAP). The offspring of P. × canadensis maternal components are assumed to have a major share in introgression.
Assessment of Cognitive Aging Using an SSVEP-Based Brain-Computer Interface System

Cognitive deterioration caused by illness or aging often occurs before symptoms arise, and its timely diagnosis is crucial to reducing its medical, personal, and societal impacts. Brain–computer interfaces (BCIs) stimulate and analyze key cerebral rhythms, enabling reliable cognitive assessment that can accelerate diagnosis. The BCI system presented analyzes steady-state visually evoked potentials (SSVEPs) elicited in subjects of varying age to detect cognitive aging, predict its magnitude, and identify its relationship with SSVEP features (band power and frequency detection accuracy), which were hypothesized to indicate cognitive decline due to aging. The BCI system was tested with subjects of varying age to assess its ability to detect aging-induced cognitive deterioration. Rectangular stimuli flickering at theta, alpha, and beta frequencies were presented to subjects, and frontal and occipital Electroencephalographic (EEG) responses were recorded. These were processed to calculate detection accuracy for each subject and calculate SSVEP band power. A neural network was trained using the features to predict cognitive age. The results showed potential cognitive deterioration through age-related variations in SSVEP features. Frequency detection accuracy declined after age group 20–40, and band power declined throughout all age groups. SSVEPs generated at theta and alpha frequencies, especially 7.5 Hz, were the best indicators of cognitive deterioration. Here, frequency detection accuracy consistently declined after age group 20–40 from an average of 96.64% to 69.23%. The presented system can be used as an effective diagnosis tool for age-related cognitive decline.
Environmental Regulation Intensity, Foreign Direct Investment, and Green Technology Spillover—An Empirical Study

Many researchers have studied the relationships among heterogeneous foreign direct investment (FDI), environmental regulation, and green total factor productivity. However, no research has been done on how different types of FDI can result in green technology spillover under different levels of environmental regulation intensity. To address this research gap, in this paper, we build a static linear panel model, a static panel threshold model, and a dynamic panel threshold model to investigate the environmental regulatory threshold effect of labor-based FDI and capital-based FDI in terms of their green technology spillover. Based on the measurement of green total factor productivity (GTFP) of 36 industry sectors in China from 2003 to 2015, we first compare the threshold effects of environmental regulation on green technology spillover between labor-based FDI and capital-based FDI with a static linear model and a static threshold model. The results show that environmental regulation is unable to significantly promote the green technology spillover of labor-based FDI. However, intensifying environmental regulation can reduce the negative impact of labor-based FDI on GTFP. The effect of environmental regulation on green technology spillover of capital-based FDI is more complex. In the static linear model, environmental regulation can significantly promote the green technology spillover of capital-based FDI. In the static threshold model, the green technology spillover of capital-based FDI exists only when the environmental regulation intensity is sufficiently low or sufficiently high. Finally, the dynamic threshold model is adopted for robustness check. The results show when the environmental regulation intensity is higher than a threshold, both types of FDI can indeed result in green technology spillover. In short, our results prove that to ensure that FDI results in green technology spillover, it is necessary to continue to strengthen environmental regulation.
Reinforcement Sensitivity, Moral Cognition, Moral Identity, and Moral Judgment among College students

Introduction: Morality and moral behavior are one of the main themes of psychology. The aim of the present study was to investigate the relationship between reinforcement sensitivity و moral identity, moral cognition and utilitarianism in personal and impersonal moral judgments. Method: Statistical population consisted of 303 students (only males) were randomly selected through multi-stage cluster random sampling method. Results: Results showed a strong relationship between Reinforcement Sensitivity dimensions with moral identity, moral cognition and personal and impersonal moral judgment. The series of multiple regression analyses showed that Fight-Flight-Freeze systems (FFFS) were strongly able to predict moral dimensions of cognition, identity and moral judgment. FFFS were strong predictors in all of moral dimensions. Conclusion: The results expand the understanding of the moral dimensions and indicate how domains of reinforcement sensitivity could explain the moral identity, moral cognition and utilitarianism in moral judgments. Declaration of Interest: None.
Emotional Recognition Based on EEG Signals Comparing Long-term and Short-term Memory with Gated Recurrent Unit Using Batch Normalization

Expression recognition is the development direction for improving human-computer interaction. At the same time, Electroencephalo-gram(EEG) signals provide us with a way to quantify changes in human emotions. The identification of human emotions through the use of multimodal data sets based on EEG signals is a convenient and safe solution. Using deep learning for expression recognition is a new direction for the development of current emotion recognition. Since EEG signals are biomass signals with temporal characteristics, the use of recurrent neural networks to identify and classify EEG signals has certain advantages. Long-term and Short-term Memory Networks (LSTM) is an important representative of recurrent neural networks, and has achieved good recognition results in the classification and recognition of EEG signals. Gated Recurrent Unit (GRU) is a simpler algorithm than the structure of long-term and short-term memory. We use a gated loop unit with batch normalization for the classification of EEG signals. On the public dataset DEAP, GRU with batch normalization added a better recognition rate for arousal and valence than LSTM.
Parameter estimation of the spatial panel stochastic frontier model with random effects

ABSTRACT This study has two objectives. First, it aims to construct a spatial panel stochastic frontier model with random effects based on the Cliff and Ord-type spatial panel model. Second, it proposes a parameter estimation method for this model. The method is based on a four-step procedure outlined by Kumbhakar and Heshmati (1995), which was modified by incorporating spatial autocorrelation.
Cardiac troponin elevation as an evidence of neurogenic myocardial dysfunction in patients with head trauma

Prof.Abdelrahman Hassan Abdelrahman, Dr.Wesam Abdgalil, Al haitham Mohamed Taha Abstract Background: cardiac dysfunction is frequently observed after severe traumatic brain injury (sTBI), however its significance is poorly understood. Our study sought to elucidate the association of cardiac troponin I (cTnI) elevation with all cause in-hospital mortality following isolated sTBI (brain AIS ≥ 3 and admission GCS ≤ 8, no AIS ≥3 to any other bodily regions). Patients and methods: After approval of this study from local ethical committee, and obtaining written informed consent from relatives, head trauma patients will be enrolled in this observational prospective study. study was conducted in the 10-bed trauma-surgical ICU in Sohag university hospital , Fifty patients with isolated TBI , were consecutively included between January 2015 and February 2017. Results: our study validated cTnI as a novel biomarker and independent predictor of all cause in-hospital mortality in patients with TBI. these findings have several implications. First, cTnI assay should be considered in patients with sTBI even in absence high suspicion of cardiac injury. Second, cTnI is a sufficiently prognostic biomarker of mortality in patients with sTBI. Third, cTnI elevation in patients with sTBI must be treated with caution. Conclusion: cTnI level was a significant indicator for stress cardiomyopathy , severity of trauma calculated by RTS had no relation with incidence of stress cardiomyopath . Our study provided important insights to the heart-brain interactions following TBI and possible schemes for subsequent optimization of management of these patients.
Inflation dynamics in Romania - a new Keynesian perspective

We investigate in this paper the main factors which drive inflation in Romania: inflation persistence, inflation expectations and real economy variables. We estimate a reduced form hybrid New Keynesian Phillips Curve in order to determine the degree of inertia and the impact of forward looking expectations. As a proxy for real economic activity, we alternatively use the change in the real labour cost, output gap, the capacity utilization rate, the economic sentiment indicator and the unemployment gap. We find that the capacity utilization rate and the unemployment gap are good proxies for the real economic activity. Inflation inertia is more important in explaining CPI inflation than rational expectations confirming the fact that inflation expectations in Romania are still highly adaptive.
The 5 Competitive Forces Framework in a technology mediated environment . Do these forces still hold in the industry of the 21 st century ?

In 1979 Michael E. Porter published his article “How competitive forces shape strategy“ which has gained massive popularity among entrepreneurs and managers for suggesting a holistic framework to analyze the forces driving industry competition. Now, more than 30 years later, academics suggest that the model became frozen in time, and, is in its original form no more applicable to today’s business context. Hence, this study will find out that indeed according to recent literatures the five competitive forces model can be partly rejected. Moreover, four additional forces will be presented in the course of this study to make up for the innate weaknesses imposed by Porter’s framework. These additional forces will then be integrated into Porter’s original five forces framework and applied to the telecommunications industry to depict the weaknesses of the unaltered model. It will be understood that Porter’s model in its original form will solely provide a very superficial attempt to explain the forces driving industry competition in the 21 century. The readjusted model will allow to step beyond Porter’s model and provide a much clearer view on the decisive forces determining industry competition.
Inverse Filtering Method for Super-Resolution Digital Imaging

Super-resolution is a method of combining various techniques in digital image processing, in order to achieve higher resolution in certain image segments, which initially had insufficient resolution and quality. The principal idea in this work is the use of the analysis of the level of detail and of the standard deviation, which results in enhancing the resolution of the digital image, whilst maintaining the overall image quality. In the first part of this article, an experimental method for estimating the standard deviation and the level of detail in a digital image has been shown, together with the inferred facts that result from this analysis. The second part of this article uses these facts in the process of designing an inverse filter by applying the averages of pixel intensities. The proposed method has significant advantages over the heretofore used super-resolution techniques, as it achieves the enhancement of the resolution from a single image, whilst retaining the initial image potential.
THE IMPACT OF THE INSTITUTIONAL FRAMEWORK QUALITY ON THE OWNERSHIP STRATEGY. EVIDENCE FROM EU FOREIGN DIRECT INVESTMENTS IN SOUTH AND CENTRAL EASTERN EUROPE

Foreign Direct Investment (FDI) is considered by scholars as a critical factor for economic growth and development. The recent economic crisis in the European Union (EU) has brought up again the discussion of the key drivers specific to the attraction of FDI. In addition to strict economic factor, the literature emphasises the role of institutions in a country as determinants in attracting FDI inflows. This study is one of the first to address the ownership strategy of multinational enterprises from the EU region undertaking FDI in former transitional economies in South (SEE) and Central Eastern Europe (CEE) using the concept of the quality of institutions. An analysis of the impact that the quality of market supporting institutions in determining ownership structure has of foreign affiliates in former transitional economies is attempted using an econometric model on institutional, regulatory, country specific and company level data based on a sample of 285 EU companies undertook FDI in 4 South and Central Eastern European countries during 1995-2015. We apply and advance the institution-based view of strategy by integrating it with resource-based and transaction cost considerations, incorporating three of the most important theoretical paradigms of international business studies.
The color continuum: Skin tone and online dating preferences among Asian Americans

Despite the increasing body of literature surrounding online dating preferences, there remains a paucity of research that analyzes whether skin color influences the dating selection process. To fill this empirical gap, the present study uses data collected from 2,024 Asian dating profiles, including the skin tone of the daters, to assess the impact that skin color variation may have on the inter- and intraracial dating preferences of heterosexual males and females as well as gay males and lesbians. This research also examines whether skin tone has a pronounced effect on the relationship between sexual orientation and the willingness to date Asians, African Americans, and Latino/Latinas. The current findings suggest that darker skinned Asians are more likely to state a preference to date African Americans and Latino/Latinas compared to their lighter skinned counterparts; however, they are less willing to date another Asian. The results also document significant interaction effects between sexual orientation and skin color differences. Our findings are discussed in relation to the racial hierarchy of preference and privilege that are inherently linked to the longstanding concept of colorism.
A 300-kHz 6.6-kW SiC Bidirectional LLC Onboard Charger

The reverse LLC voltage gain is lower than unity. The dc-link voltage is then lower than the peak grid voltage so that the buck type dc–ac converters cannot be grid-tied directly, which causes the LLC reverse operation difficult in bidirectional application. This paper proposes a silicon carbide (SiC) bidirectional LLC charger architecture to achieve high efficiency and high power density. The first stage is an interleaved bridgeless totem pole power factor correction (PFC) to achieve unity power factor. The second stage is a 300-kHz LLC taking advantage of wide zero voltage switching (ZVS) range and magnetic integration. Thanks to extra control freedom of high dc-link voltage, the dc–dc voltage gain regulation is shared by the dc–ac stage taking advantage of high voltage SiC MOSFETs. A reverse LLC voltage gain compensation control by regulating dc-link voltage is proposed to enable the LLC bidirectional operation. A digital adaptive synchronous rectification driving scheme is proposed based on the LLC primary driver signals, which immunes to the circuit oscillation caused by high dv/dt and parasitic elements. A 6.6 kW SiC bidirectional LLC charger is build. The power density is 3.42 kW/L with 3 kW/kg and increases 55.6% over the reference design. The charging efficiency is above 96% through the battery voltage from 240 to 420 V, and 2% higher than the state-of-the-art products. The peak discharging efficiency under 6.6 kW is 96%, and 1% higher than the state-of-the-art efficiency.
Dietary niche divergence between two invasive fish in Mediterranean streams

Clarifying the mechanisms associated with the coexistence of invasive species is important to understand the overall impact of multiple invasions on recipient communities. Here we examined whether divergence or convergence in dietary niche occurred when invasive Lepomis gibbosus and Australoheros facetus coexist in Iberian streams. We used stomach content analyses to determine dietary niche composition, width, and overlap in allopatric and sympatric counterparts in the Lower Guadiana throughout the dry-season. The variations in dietary niche between pumpkinseed and the cichlid were consistent with predictions derived from the niche divergence hypothesis. Although there were no changes in the use of plant material from allopatry to sympatry in either species, sympatric pumpkinseed and the cichlid displayed marked shifts in the use of animal prey and a decrease in niche width relative to allopatric counterparts. Moreover, sympatric pumpkinseed and cichlid showed similar niche width but differed significantly in plant and animal prey use. Taken together these results suggest that divergence in dietary niches may play a role in mediating coexistence of multiple invaders in Iberian streams.
An Android malware detection Approach based on Weisfeiler-Lehman Kernel

The explosive growth of Android malware has caused great harm to users' lives and work. In this work, we propose an Android malware detection approach based on Weisfeiler-Lehman (WL) kernel, which converts malware detection problem into similarity analysis problem of function call graph, and introduce contextual information of function call process to enhance nodes label of function call graph. The node label enables the feature space to contain both the structural information and the contextual information of the graph. The similarity of the function call graph is calculated by the Weisfeiler-Lehman graph kernel algorithm to detect the Android malware. Our experimental results show that the WL kernel method enhanced by contextual information is higher than three state-of-the-art kernel methods of CWLK, NHGK and WLK and two classical detection methods of Drebin and Androguard in precision and recall rate.
MAIZE COMMUNITY RESOURCES FOR FORWARD AND REVERSE GENETICS

Maize has been intensively studied for agri- cultural improvement as well as to increase our under- standing of biology. Maize is highly amenable to genetic studies, and the current plant genome initiative to obtain an anchored sequence of the maize genome is likely to make maize an important species for functional genome studies in grasses. One aspect of functional genomics is to understand the phenotypic consequence of the loss of any gene within the genome, which is essentially conven- tional genetic analysis of mutations. Genome scale studies of mutations can be driven either by phenotypes (forward genetics) or by gene sequences (reverse genetics). These approaches are essentially asking converse questions. For forward genetics, what are the genes that cause similar phenotypes? For reverse genetic studies, what are the phenotypes of mutations in related genes? This review discusses the mutagenized populations that have been developed by the maize research community for both for- ward and reverse genetics resources. In addition, these resources are compared to some of the genetics resources available in Arabidopsis thaliana.
Will information and incentive affect traveler’s day-to-day departure time decisions?—An empirical study of decision making evolution process

Abstract The uncertainty and unpredictability of a transportation network roots in the dynamics of individual travel behavior, which can be revised consciously or repeated habitually depending upon the reality and personality. In this paper, we propose to study the day-to-day departure time choice behavior of the travelers, using real observation data collected from a smartphone app, “Metropia”. Influenced by the information and incentives provided in the app and the comparison with the experience gained from the last trip, a transformation process of traveler’s day-to-day experience on departure time from an existing habit to a new one is analyzed in this study. The analysis result in a binary choice model for the shift of departure time for each repeated morning commute trip comparing with the last one, which proves that users’ experience in app engagement, previous travel time saving, habitual travel time, incentives, and commute flexibility are able to trigger day-to-day behavioral change for their morning home-to work commutes. The findings of this research provide insights on the users’ adaption to a new traffic information service along with incentives, and corresponding behavior changes over a transition period. The outcomes suggest ways to improve ICT services and incentive scheme, as well as the transportation operation and demand management.
Substrate Integrated Surface-Wave Antenna

A surface-wave antenna integrated into a substrate is investigated. The substrate-integrated surface-wave structure can be considered approximately as a dielectric slab flush-mounted in a rectangular waveguide that has the top broad wall removed. The waveguide structure is investigated rigorously through the numerical solution of a magnetic-field integral equation. It is found that the dielectric-filled structure supports an improper waveguide mode and a proper surface-wave mode. The differences between the two modes are revealed, with the propagation and radiation characteristics and the equivalent magnetic current distributions in the aperture. The improper waveguide mode has such a high attenuation constant that it cannot provide a high directivity. On the other hand, the proper surface-wave mode that has a zero attenuation constant can be used to design a high-directivity antenna. A tapered-width substrate integrated surface-wave antenna is designed, fabricated and measured. With a planar structure, the antenna can be easily fabricated and can be flush-mounted on a conductor. Measured results show that the antenna has a wide gain bandwidth and a high gain with the main beam close to endfire.