Miracle-dz/UniFAR-FTUs huggingface dataset:
Combined analyses of transcriptome and metabolome reveal the mechanism of exogenous strigolactone regulating the response of elephant grass to drought stress

Elephant grass is widely used in feed production and ecological restoration because of its huge biomass and low occurrence of diseases and insect pets. However, drought seriously affects growth and development of this grass. Strigolactone (SL), a small molecular phytohormone, reportedly participates in improving resilience to cope with arid environment. But the mechanism of SL regulating elephant grass to response to drought stress remains unknown and needs further investigation. We conducted RNA-seq experiments and identified 84,296 genes including 765 and 2325 upregulated differential expression genes (DEGs) and 622 and 1826 downregulated DEGs, compared drought rehydration with spraying SL in roots and leaves, respectively. Combined with targeted phytohormones metabolite analysis, five hormones including 6-BA, ABA, MeSA, NAA, and JA had significant changes under re-watering and spraying SL stages. Moreover, a total of 17 co-expression modules were identified, of which eight modules had the most significant correlation with all physiological indicators with weighted gene co-expression network analysis. The venn analysis revealed the common genes between Kyoto Encyclopedia of Genes and Genomes enriched functional DEGs and the top 30 hub genes of higher weights in eight modules, respectively. Finally, 44 DEGs had been identified as key genes which played a major role in SL response to drought stress. After verification of its expression level by qPCR, six key genes in elephant grass including PpPEPCK, PpRuBPC, PpPGK, PpGAPDH, PpFBA, and PpSBPase genes regulated photosynthetic capacity under the SL treatment to respond to drought stress. Meanwhile, PpACAT, PpMFP2, PpAGT2, PpIVD, PpMCCA, and PpMCCB regulated root development and phytohormone crosstalk to respond to water deficit conditions. Our research led to a more comprehensive understanding about exogenous SL that plays a role in elephant grass response to drought stress and revealed insights into the SL regulating molecular mechanism in plants to adapt to the arid environment.
Indocyanine green angiography-guided thyroidectomy versus conventional thyroidectomy for preserving parathyroid function: study protocol for a randomized single-blind controlled trial

Introduction Angiography with indocyanine green (ICG) fluorescence performed before thyroidectomy would allow identification of the vascularization of parathyroid glands, maximizing efforts for preserving functioning glands intraoperatively. The rationale of the study was based on the hypothesis that showing the vascular pattern of the parathyroid glands by means of ICG angiography before performing the thyroidectomy could prevent permanent hypoparathyroidism. Methods and analysis We propose a randomized single-blind controlled and multicenter clinical trial to assess the efficacy and safety of ICG angiography-guided thyroidectomy to identify the vascular pattern of the parathyroid glands versus conventional thyroidectomy in patients scheduled for elective total thyroidectomy. Patients will be randomized 1:1 to ICG angiography-guided thyroidectomy (experimental group) or conventional thyroidectomy (control group). Patients in the experimental group will undergo ICG angiography before thyroidectomy to identify the feeding vessels of the parathyroid glands and then, post-thyroidectomy ICG angiography to predict immediate parathyroid gland function by scoring the degree of fluorescence of the glands. Patients in the control group will undergo post-thyroidectomy ICG angiography only. The primary outcome measure will be the rate of patients with permanent hypoparathyroidism. Secondary outcome measures will be rate of postoperative hypoparathyroidism, the percentage of well vascularized parathyroid glands remaining in situ, the levels of iPTH and serum calcium after surgery and the influence of the type of vascular pattern of the parathyroid glands over these outcomes, as well as the safety profile of ICG angiography. Discussion The results will contribute to adopt a new surgical strategy based on intraoperative ICG angiography before performing total thyroidectomy, according to which the rate of permanent hypoparathyroidism could be substantially reduced. Clinical trial registration ClinicalTrials.gov. identifier NCT05573828.
An Approach to Fuzzy Ontology Framing Based on Fuzzy Conceptual Model

Classical ontology supported by formalized concepts is unable to represent the imprecision and uncertainty information.Ontology incorporated with fuzzy logic is a solution to the problem.Considering the difficulty to generate the fuzzy ontology in accordance to pre-defined concepts,framing the fuzzy ontology on the basis of fuzzy conceptual model is proposed.The UML conceptual model and OWL DL ontology are therefore fuzzily extended separately on the basis of fuzzy set theory,and the feasibility of framing the fuzzy OWL DL ontology by fuzzy UML class diagram is interpreted in the perspective of their logical foundation.Then,the formalized mapping transformation of fuzzy UML class diagram into fuzzy OWL DL ontology is studied to show the mapping rules and axiomatization process.Framing the fuzzy OWL DL ontology with existing fuzzy conceptual model can reduce efficiently the complexity of framing the fuzzy ontology and,meanwhile,enhance the expressibility of ontology.
MODELS OF EXCITATION SYSTEMS

In this paper, an overview of the preliminary results, obtained within Digsilent PowerFactory is given. Digsilent PowerFactory have been used as reference program for validating models used for the study "System parameters of excitation and turbine control for power plants in the EPS". Objective of the study is to capture, analyze and adjust the relevant parameters of the excitation and turbine control systems for all plants within EPS. The final objective is to improve the quality of regulation, to provide reserves for primary, secondary and tertiary frequency control and to provide resources for generation and absorption of reactive power for the primary voltage control. For the study, model of southeast Europe power system has been created in the DINST software, developed in the Electrical Institute Nikola Tesla. As a referent program, Digsilent PowerFactory has been used. In the paper, comparative results of measurements and simulations of the response voltage regulator on a stepping change of the reference voltage.
About Gamifying an Emotional Learning Companion to Teach Programming to Primary Education Students

Background Gamification is a promising field of research that can benefit education. In particular, it can benefit teaching programming to children. Emotional Learning Companions (ELCs) are interactive systems that dialogue with the students as well as provide them with emotional support. Intervention The design of ELCs was extended with gamification to teach programming to Primary Education children. Riddles, levels, badges, and a leader board with trophies among other traditional gamification elements were incorporated into the learning companion, as well as game mechanics, aesthetics and connection with the players (students) to increase their learning, motivation and satisfaction levels. Methods A pre-post test single group experimental research design was followed to test the proposal. In total, 137 students aged between 10 and 12 years used the gamified learning companion during an academic year in Ecuador. Results The results showed a significant increase in students’ learning scores as well as satisfaction and motivation levels above 90%. Conclusion Therefore, the conclusion is that gamifying ELCs to teach programming in Primary Education can improve students’ learning scores, satisfaction, and motivation levels.
Plant Hydraulics Improves Predictions of ET and GPP Responses to Drought

Land surface models typically ignore plant hydraulic processes and use empirical soil moisture stress functions to limit transpiration and photosynthesis. How plant hydraulics impacts the predictions of carbon and water fluxes and their responses to drought remains unclear. Here, we developed an analytical plant hydraulic scheme wherein hydraulic capacitances at the leaf level and stem level were considered, and incorporated it into the vegetation interface processes model (hereafter, VIP‐PHS). Then, we calibrated the VIP‐PHS parameters using a Markov Chain Monte Carlo (MCMC) method and conducted an ecosystem‐scale evaluation of the VIP‐PHS at 30 FLUXNET sites. The results showed that VIP‐PHS improved evapotranspiration (ET) and gross primary production (GPP) simulations across the studied sites, reducing the root mean square error (RMSE) by 0.02–0.27 mm day−1 and 0.04–0.52 g C m−2 day−1 in relation to the empirical soil hydraulic scheme (hereafter, VIP‐SHS). VIP‐PHS decreased the RMSE in ET and GPP by up to 45% and 55% in evergreen needleleaf forests. Compared to VIP‐SHS, VIP‐PHS decreased the sensitivities of ET and GPP to soil moisture stress, and significantly improved ET and GPP predictions under low soil moisture conditions. The sensitivity analysis showed that larger stem hydraulic capacitance better relieved xylem water stress, resulting in greater transpiration and GPP and less‐negative daily minimum stem water potential. These findings highlight the need to incorporate plant hydraulics into the next generation of Earth system models under future drought conditions.
Development and Life Cycle of the Indian Monsoon: Effect of the 30–50 Day Oscillation

Abstract The velocity-potential fields generated from the FGGE III-b horizontal winds of the European Centre for Medium Range Weather Forecasts were subjected to an empirical orthogonal function (EOF) analysis to extract the annual cycle and the 30–50 day mode of the divergent circulations. We found that the Indian monsoon circulation is portrayed by the annual cycle of the divergent circulation and develops as a classical, giant sea-breeze model. On the other hand, this monsoon system is modulated by the planetary-scale 30–50 day low-frequency mode to establish an onset-active-break-revival-retreat life cycle. This modulation is accomplished through the following interaction process. The northeastward propagation of the planetary-scale 30–50 day mode over the Indian monsoon region induces transient local Hadley circulation. Through this type of circulation, the planetary-scale 30–50 day mode couples with and steers northward the low-level, 30-50 day monsoon troughs and ridges that originated around the e.
Design of High Precision Dead-beat Flux Observer

The flux observer seriously influences the stability and accuracy of induction motors. The performance is restricted to the sensitivity of the motor parameters of the traditional open-loop current and voltage flux observer under low or high speed. In order to improve the accuracy and stability of flux observer, a novel close-loop flux observer is implemented, which includes the current and voltage flux observer cooperated with phase-compensated transition function. The accuracy and insensitivity to motor parameter are insured in the whole speed range. The deadbeat stator current observer is added to solve the one sample cycle delay. By the observer characteristic function being utilized to analyze flux observer, along with the simulation and experiment, the accuracy and stability are verified.
Quantum lambda calculus

The lambda calculus, developed in the 1930’s by Church and Curry, is a formalism for expressing higher-order functions. In a nutshell, a higher-order function is a function that inputs or outputs a “black box”, which is itself a (possibly higher-order) function. Higher-order functions are a computationally powerful tool. Indeed, the pure untyped lambda calculus has the same computational power as Turing machines [Tur36]. At the same time, higher-order functions are a useful abstraction for programmers. They form the basis of functional programming languages such as LISP, ML, Scheme, and Haskell. In this chapter, we discuss how to combine higher-order functions with quantum computation. We believe that this is an interesting question for a number of reasons. First, the combination of higher-order functions with quantum phenomena raises the prospect of entangled functions. Certain well-known quantum phenomena can be naturally described in terms of entangled functions, and we will give some examples of this in Section 1.2. Another interesting aspect of higher-order quantum computation is the interplay between classical objects and quantum objects in a higherorder context. A priori, quantum computation operates on two distinct kinds of data: classical data, which can be read, written, duplicated, and discarded as usual, and quantum data, which has state preparation, unitary maps, and measurements as primitive operations. The higherorder computational paradigm introduces a third kind of data, namely functions, and one may ask whether functions behave like classical data, quantum data, or something intermediate. The answer is that there will actually be two kinds of functions: those
Spin polarized transport in semiconductor

In this paper, we study two-dimensional spin polarized transport in semiconductors. Based on the some semiclassical considerations and taking account of the spin relaxation. We determined the relationship of the polarization as a function of time and the distance. And we have also established the relationship of the drain current in a 2D channel of a transistor called « spin-FET » where it was matter to highlight this type of transport. This study was crowned with a numerical study of the (.)
Accuracy in the measurement of magnetic fields using nitrogen-vacancy centers in nanodiamonds

We have measured 10 and 20 mT magnetic fields using NV centers in nanodiamonds and have demonstrated that the accuracy of these measurements is about 20 μT. This value is an order of magnitude larger than the precision defined by random fluctuations in the measurements. The presented analysis indicates that the 20 μT systematic errors at such fields are intrinsic to the nanodiamonds. The possible reason for this error is coupling of NV centers with paramagnetic entities in the nanodiamonds such as other NV centers, C13, and N14 nuclei.
Association between tumor markers and anemia: a short review

Tumor markers are a group of molecules used to diagnose certain diseases, including cancer. These molecules can alter cellular pathways, including those associated with some anemias, by expressing or influencing certain cellular mediators. The present study is based on data obtained from the PubMed database (1970–2019) using the key words ‘tumor markers’, ’anemia’ and ‘iron’. We found that some tumor markers can affect hepcidin expression and iron uptake by altering cell pathways. Several other tumor markers also increase in some anemias, so that they can sometimes be used to diagnose and confirm the type of anemia. The role of some tumor markers remains unclear de - spite the increase in some anemias. In general, some tumor markers are involved in the pathophysiology of a number of anemias or help diagnose anemia. However, studies of the role of tumor markers in the diagnosis, development or progression of anemias have been very limited.
Simultaneously Achieving Fast Intramolecular Charge Transfer and Mass Transport in Holey D−π–A Organic Conjugated Polymers for Highly Efficient Photocatalytic Pollutant Degradation

Simultaneously realizing efficient intramolecular charge transfer and mass transport in metal-free polymer photocatalysts is critical but challenging for environmental remediation. Herein, we develop a simple strategy to construct holey polymeric carbon nitride (PCN)-based donor−π–acceptor organic conjugated polymers via copolymerizing urea with 5-bromo-2-thiophenecarboxaldehyde (PCN–5B2T D−π–A OCPs). The resultant PCN–5B2T D−π–A OCPs extended the π-conjugate structure and introduced abundant micro-, meso-, and macro-pores, which greatly promoted intramolecular charge transfer, light absorption, and mass transport and thus significantly enhanced the photocatalytic performance in pollutant degradation. The apparent rate constant of the optimized PCN–5B2T D−π–A OCP for 2-mercaptobenzothiazole (2-MBT) removal is ∼10 times higher than that of the pure PCN. Density functional theory calculations reveal that the photogenerated electrons in PCN–5B2T D−π–A OCPs are much easier to transfer from the donor tertiary amine group to the benzene π-bridge and then to the acceptor imine group, while 2-MBT is more easily adsorbed on π-bridge and reacts with the photogenerated holes. A Fukui function calculation on the intermediates of 2-MBT predicted the real-time changing of actual reaction sites during the entire degradation process. Additionally, computational fluid dynamics further verified the rapid mass transport in holey PCN–5B2T D−π–A OCPs. These results demonstrate a novel concept toward highly efficient photocatalysis for environmental remediation by improving both intramolecular charge transfer and mass transport.
A robust closed-form estimator for the GARCH(1,1) model

In this paper we extend the closed-form estimator for the generalized autoregressive conditional heteroscedastic (GARCH(1,1)) proposed by Kristensen and Linton [A closed-form estimator for the GARCH(1,1) model. Econom Theory. 2006;22:323–337] to deal with additive outliers. It has the advantage that is per se more robust that the maximum likelihood estimator (ML) often used to estimate this model, it is easy to implement and does not require the use of any numerical optimization procedure. The robustification of the closed-form estimator is done by replacing the sample autocorrelations by a robust estimator of these correlations and by estimating the volatility using robust filters. The performance of our proposal in estimating the parameters and the volatility of the GARCH(1,1) model is compared with the proposals existing in the literature via intensive Monte Carlo experiments and the results of these experiments show that our proposal outperforms the ML and quasi-maximum likelihood estimators-based procedures. Finally, we fit the robust closed-form estimator and the benchmarks to one series of financial returns and analyse their performances in estimating and forecasting the volatility and the value-at-risk.
Exponential integrability of mappings of finite distortion

We consider mappings with exponentially integrable distortion whose Jacobian determinants are integrable over the nn-ball. We show that the boundary extensions of such mappings are exponentially integrable with bounds, and give examples to illustrate that there is not too much room for improvement. This extends the results of Beurling [2], and Chang and Marshall [3], [10] on analytic functions, and Poggi-Corradini and Rajala [14] on quasiregular mappings.
Coupling of mean-field equation and shell model of turbulence in the context of galactic dynamo problem

Предложена модель галактического динамо, включающая уравнения индукции крупномасштабного магнитного поля, записанное в приближении альфа-омега динамо, и каскадную модель магнитогидродинамической турбулентности, которая позволяет вычислять коэффициенты турбулентного переноса, входящие в уравнения средних полей. Как модель альфа-омега динамо, так и каскадная модель турбулентности изучены достаточно подробно, но их совместное использование ставит новые вопросы, связанные с корректным описанием взаимодействия крупномасштабных и мелкомасштабных полей. В данной работе сопряжение моделей выполнено исходя из строгого соблюдения всех законов сохранения идеальной магнитной гидродинамики. Даны примеры расчета динамики магнитного поля и показана роль отдельных механизмов взаимодействия крупномасштабного поля и турбулентности.
The Role of Inclusive Finance in China’s Economic Growth: Empirical Evidence from Quantile Regression on Panel Data

Inclusive finance is one of the key topics of recent research. Researchers found that in the process of economic development, inclusive finance serves a crucial function. However, there is still no unified explanation for the role of inclusive finance’s disaggregated indexes (coverage breadth, usage depth and level of digitalization) in economic development. Therefore, by collecting panel data from 31 provinces and analyzing through quantile regression approach, this paper studies the relationship between the Peking University Digital Financial Inclusion Index of China (PKU-DFIIC) and each province’s economic development, and further investigates whether the disparity in regional economic development may be closed by the advancement of inclusive digital finance. It is discovered that the coverage breadth, usage depth and digitization level can promote economic growth. The largest contribution to closing the regional economic development gap can be made via coverage breadth, while the usage depth plays the greatest role in promoting economic expansion. The eastern area has less economic expansion than the regions of the center and west as a result of the advancement of inclusive digital finance, which may help to close the economic development disparity in the regions. Finally, this paper proposes that people should encourage the creation of equitable digital inclusive financing policies, following the strategy of expanding coverage first, then improving the usage depth in the regions of the center and west, and to balance the advancement of inclusive digital finance among regions, different actions should be taken in different areas with varied levels of economic growth.
Biomarkers of Cardiovascular Disease and Future Directions: A Review

A major worldwide cause of death is cardiovascular disease (CVD), which continue to rise in prevalence as compared to previous decades due to ageing of the overall population. Progress in biomarker discovery and developments over the years associated with CVD have been the result of steadily responsive screening techniques, a greater focus on early detection and diagnosis and improvements in treatments that contribute to increasingly successful network clinical outcomes. This review focuses on a number of promising biomarkers which provide indicative and predictive data. The tissue-specific myocardial biomarker cardiac troponine, high sensitivity tests for cardiovascular troponine and the cardiovascular fatty acid binding protein are used in the early hours following the manifestation to evaluate myocardial infarction (MI). High-sensitivity C-sustainable protein, fibrinogen, and uric acid anticipate IM and extinction, including growth differentiation factor-15. The threat of acute coronary artery disease is pregnantrelated plasma protein A, myeloperoxidase, and metalloproteinase matrix. Incidents and repeated cardiovascular events are predicted to occur with lipoprotein-related phospholipase A2 and secretive phospholipase A2. Finally, high natural peptides have all been accepted to predict death and cardiac insufficiency. For example, the assessment of micro-RNA is also investigated in increasingly increasing new areas. In any event, the use of biomarkers for different purposes in CVD continues to be a relevant field of research that researchers have been exploring over the years and many new innovations still exist.