Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of tillage practice on fungal and actinobacterial cellulolytic community with different humified particle‐size fractions in a double‐cropping paddy field

Soil cellulose plays a vital role in keeping or increasing carbon (C) cycling and fertility of rice fields. There is a close relation between soil fulvic acid (FA), humin (HM) fractions, and GH48, cbhI genes. However, the effects of different tillage practices on soil humus C content composition, GH48, and cbhI genes abundances in different soil particle‐size fractions of double‐cropping rice fields still need to be further investigated. Therefore, the impacts of different short‐term tillage practices on soil GH48 and cbhI genes abundances in double‐cropping rice fields were conducted. This experiment set up different tillage practices: rotary tillage with crop straw removed as a control (RTO), conventional tillage with crop straw in put (CT), rotary tillage with crop straw in put (RT), and no‐tillage with crop straw retain (NT). The result indicated that the distribution of soil humus, and GH48, cbhI genes abundances were significantly enhanced under combined applied with tillage and crop straw incorporation conditions. Soil FA, HM, and humic acid (HA) C content in 2000–50 μm and >2000 μm fractions with RTO treatment were significantly lower than that of CT, RT, and NT treatments. This result showed that oalkyl and alkyl of HA and FA in 2000–200, 200–50, 50–2, and 2–0.1 μm fractions with CT, RT, NT, and RTO treatments were lower than that of >2000 μm fraction. There was lower ARO% and more AL% of FA and HA in these fractions under the same tillage condition. The result showed that GH48 and cbhI genes abundances in these fractions with CT, RT, and NT treatments were significantly higher than that of RTO treatment. There had significantly positively correlated with GH48, cbhI genes abundances, and soil HA, FA, HM C contents, o‐alkyl C, and AL% of FA. Therefore, it was positively practiced for increasing GH48 and cbhI genes abundances in the double‐cropping rice fields by applying with tillage and crop straw incorporation.
The application of exponential method in the analysis of growth curve for Japanese quail Verwendung der Exponentialmethode zur Analyse der Wachstumskurve Japanischer Wachteln

The growth of animal is measured as body weight on a longitudinal timeframe (AGGREY, 2002) and the characteristic growth curve is obtained in the sigmoid shape by plotting the body weights as function of time (age). The sigmoid shape first shows a self-accelerating phase in which the specific growth rate starts at a value of weight (birth or hatch weight), and then a linear phase follows, which turns into a growth rate to a maximal value in a certain period. Finally, growth curve reaches decelerating phase in which the growth rate decreases and approaches zero which means animal nears mature weight asymptotically (LAWRENCE and FOWLER, 1997). In order to describe growth curves in Japanese quail populations, a number of non-linear models (logistic, Gompertz and Von Bertalanffy) have been used. Growth curve parameters are related with initial weight, growth rate and asymptotic weight. TZENG and BECKER (1981) stated that Logistic and Gompertz models are applicable to avian species under ad-libitum feeding condition. ANTHONY et al. (1986) compared the use of the logistic, Gompertz and Von Bertalanffy equations by transforming the growth curves into linear form in the study of the effects of divergent selection for 4-week body weight on the growth patterns of Japanese quail. The logistic growth function has been applied to chicken data (GROSSMAN and BOHREN, 1982; KNIZETOVA et al., 1991). Also, ANTHONY et al. (1991) compared the growth curves of selected populations in turkey, quail and chicken. Since growth curves shift in response to selection, they are important to breeding plans (BARBATO, 1991; REKAYA et al., 2000). A response to selection altering the shape of the growth curve is feasible. Genetic analysis of growth curves has been applied to body weight-age curves in poultry (BARBATO, 1991). AKBAŞ and OĞUZ (1998) compared three growth curve models to identify the effect of genetic and environmental factors on the growth curve parameters in quail. The heritabilities of growth curve parameters and phenotypic-genetic correlations were es-
Utility of Urine Cultures During Febrile Neutropenia Workup in Hematopoietic Stem Cell Transplantation Recipients Without Urinary Symptoms

Abstract The utility of obtaining screening urine cultures for febrile neutropenia (FN) during hematopoietic stem cell transplant (HCT) is unknown. In 667 adult HCT patients with FN, only 40 (6%) were found with bacteriuria. Antibiotics were modified in 3 patients (0.4%) based on urine cultures and none developed urinary-associated infectious complications.
Self-Charge-Filling (SCF) Effect of Suzaku XIS

We demonstrate the importance of the self-charge-filling (SCF) effect for the analysis of bright and line-rich sources with the Suzaku X-ray imaging spectrometer (XIS) if spaced-row charge injection (SCI) is not applied. The SCF-effect changes the central energy of lines depending on the extracted region or the event densities of the images. We propose a correction method of the SCF-effect and show its validity by applying it to the extraction of the spectra of Cygnus X-3.
Atomic force microscopy and other scanning probe microscopy methods to study nanoscale domains in model lipid membranes

ABSTRACT The cell membrane is a fundamental biological structure, which is only 6–10 nm thick. It is composed of hundreds of lipid types, which form small and dynamic lipid domains or rafts. These rafts are thought to be a major aspect of cell organization, to provide support for various transmembrane proteins and are central to the communication of cells with their environs. Understanding the functions of lipid rafts presents an exciting opportunity to understand the molecular mechanisms of biologically important processes, as well as to uncover fundamental molecular mechanisms of membrane-associated diseases. Due to the high complexity of cell membranes, model membranes composed of synthetic lipids have been developed and are widely used to mimic biomembranes in an effort to study the structure and dynamics of lipid domains and their role in cell function. Atomic force microscopy (AFM), Kelvin probe force microscopy (KPFM) and atomic force spectroscopy (AFS) significantly advanced the study of nanodomains in model lipid membranes and monolayers. We review applications of these methods to the study of model membranes, which are widely used to mimic eukaryotic and bacterial cells, as well as neuronal cellular membranes in Alzheimer’s disease (AD). Graphical Abstract
Exploring Pedagogical Content Knowledge of Teachers: a Paradigm For Measuring Teacher’s Effectiveness

When considering the present and the future of education, it is hard to ignore the importance of teachers' subject-matter expertise. Educators' pedagogical content knowledge (PCK) is crucial to the development of effective teaching practises and the implementation of effective curricula. Since PCK permits the integration of content and pedagogy, it has the potential to have a profound and long-lasting effect on students' academic performance. For educators to do their jobs well, they need to have a firm grip of relevant information, concepts, principles, and methods. This understanding will serve as a guide for appropriate pedagogical thinking and decision making. The pedagogical content knowledge (PCK) that is part of both the art and science of teaching, however, can be difficult to understand and evaluate. Classroom observations, content representations (CoRes), pedagogical and professional experience registries (PaP-eRs), structured and semi-structured interviews, stimulated recall interviews, artefacts from teachers' tasks, concept mapping, reflective journals, tests, and lesson observations are just a few of the complex and specialised procedures required to measure PCK. Paper and pencil assessments have been hailed as a potentially useful instrument for determining PCK due to the fact that they are a trustworthy, objective, and valid procedure that may be utilised with a greater volume of samples. The easiest way to obtain PCK data for triangulation purposes from several sources is to use a combination of these approaches.
Polarization-dependent optics using gauge-field metamaterials

We show that effective gauge field for photons with polarization-split dispersion surfaces, being realized using uniaxial metamaterials, can be used for polarization control with unique opportunities. The metamaterials with the proposed gauge field correspond to a special choice of eigenpolarizations on the Poincare sphere as pseudo-spins, in contrary to those from either conventional birefringent crystals or optical active media. It gives rise to all-angle polarization control and a generic route to manipulate photon trajectories or polarizations in the pseudo-spin domain. As demonstrations, we show beam splitting (birefringent polarizer), all-angle polarization control, unidirectional polarization filter, and interferometer as various polarization control devices in the pseudo-spin domain. We expect that more polarization-dependent devices can be designed under the same framework.
Probiotics as Antibiotic Alternatives for Human and Animal Applications

Probiotics are live microorganisms recognized as natural candidates to substitute antibiotic substances, usually used to treat bacterial infections responsible for numerous human and animal diseases. Antibiotics are mostly prescribed for treating infections caused by bacteria. However, their excessive and inappropriate use has resulted in the increase of bacterial antimicrobial resistance (AMR) and host microbiota imbalance or dysbiosis phenomena. Even though antibiotics are the most well-known lifesaving substances, the AMR within the bacterial community has become a growing threat to global health, with the potential to cause millions of deaths each year in the future. Faced with these worldwide issues, it is high time to discover and develop antibiotic alternatives. There exists some evidence of probiotic roles in antagonizing pathogens, modulating immune systems, and maintaining general host health by restoring the gut microbiota balance. The multi-antimicrobial action mechanisms of such beneficial living microorganisms are one approach to practicing the “prevention is better than cure” concept to avoid antibiotics. The current review proposes a comprehensive description of antibiotic-related AMR issues and the potential of probiotics as antibiotic alternatives, while discussing pros and cons, as well as some evidence of beneficial uses of probiotics for human and animal health protection through recent results of experimental models and clinical trials.
Controlling and Exploring Nonlinear Dynamics in Circuits by Sporadic Proportional Pulses

We present some experimental evidence of control and anticontrol of chaos in chaotic circuits using a simple impulsive method which does not require any knowledge about the systems dynamics. The method works by introducing instantaneous pulses in some system variables –in this paper the pulses are applied to a capacitor voltage– and, hence, does not modify the system itself. When varying the control parameters (amplitude and frequency of pulses) we obtain a bifurcation structure similar to the one obtained when varying some system parameters. Therefore, this controller allows us investigating the dynamics of a given circuit and provide us a versatile device for performing both control or anticontrol. In particular we show how a double-scroll chaotic system is stabilized in period three, single-scroll, period-4, period-2, period-1, fixed point, following a inverse bifurcation route as a function of the pulses amplitude (chaos control). It is also shown how a periodic Chua’s circuit is driven to chaotic behavior (chaos anticontrol).
Renal function is a major predictor of circulating acyl-CoA-binding protein/diazepam-binding inhibitor

Objective Acyl-CoA-binding protein (ACBP)/diazepam-binding inhibitor has lately been described as an endocrine factor affecting food intake and lipid metabolism. ACBP is dysregulated in catabolic/malnutrition states like sepsis or systemic inflammation. However, regulation of ACBP has not been investigated in conditions with impaired kidney function, so far. Design/methods Serum ACBP concentrations were investigated by enzyme-linked immunosorbent assay i) in a cohort of 60 individuals with kidney failure (KF) on chronic haemodialysis and compared to 60 individuals with a preserved kidney function; and ii) in a human model of acute kidney dysfunction (AKD). In addition, mACBP mRNA expression was assessed in two CKD mouse models and in two distinct groups of non-CKD mice. Further, mRNA expression of mACBP was measured in vitro in isolated, differentiated mouse adipocytes - brown and white - after exposure to the uremic agent indoxyl sulfate. Results Median [interquartile range] serum ACBP was almost 20-fold increased in KF (514.0 [339.3] µg/l) compared to subjects without KF (26.1 [39.1] µg/l) (p<0.001). eGFR was the most important, inverse predictor of circulating ACBP in multivariate analysis (standardized β=-0.839; p<0.001). Furthermore, AKD increased ACBP concentrations almost 3-fold (p<0.001). Increased ACBP levels were not caused by augmented mACBP mRNA expression in different tissues of CKD mice in vivo or in indoxyl sulfate-treated adipocytes in vitro. Conclusions Circulating ACBP inversely associates with renal function, most likely through renal retention of the cytokine. Future studies need to investigate ACBP physiology in malnutrition-related disease states, such as CKD, and to adjust for markers of renal function.
The Taxonomy of Blockchain-based Technology in the Financial Industry

The decentralized approach of blockchain technology has resulted in innovations across various industries, including finance which is facing challenges due to the rise of decentralized finance (DeFi) in the market. Decentralization improves business processes and spurs product innovation through increased transparency and removing intermediaries. A taxonomy created through a literature review outlines the four dimensions of these advancements: key drivers, products, benefits, and emerging threats. Proposed solutions are also included to tackle the threats.
Efficient generation of contour trees in three dimensions

Many scientific fields generate data in three-dimensional space. These fields include fluid dynamics, medical imaging, and X-ray crystallography. In all contexts, a common difficulty exists: how best to represent the data visually and analytically. One approach involves generating level sets: two-dimensional surfaces consisting of all points with a given value in the space. With large datasets common, efficient generation of these level sets is critical. Several methods exist: one such is the contour tree approach used by van Kreveld et al. [26]. This thesis extends the results of van Kreveld et al. [26] and Tarasov & Vyalyi [23]. An efficient algorithm for generating contour trees in any number of dimensions is presented, followed by details of an implementation in three dimensions.
Technical research and implementation of an intelligent low-code development platform

In recent years, with the rapid development of the Internet and cloud computing technology, enterprises in all sectors of society and in all fields have entered the wave of digital transformation. The traditional manual programming-based application development model gradually fails to meet the growing business needs of enterprises. In this context, low-code development technology has been developing rapidly, and major Internet companies at home and abroad have invested in the research of low-code technology, and there are currently many mature low-code development platforms that play an important role in fulfilling the business needs of enterprises. However, the current mainstream low-code platform often has low scalability and covers limited business scenarios. This paper takes this as the main entry point, proposes a new solution and designs an intelligent low-code development platform technology. The overall architecture process of the platform, the platform visualisation building panel, and the automatic code generation are explained in more detail, and an intelligent low-code development platform with good scalability is implemented on this basis.
Spatial Network Sampling in Small Area Estimation

The spatial distribution of a population represents an important in sampling designs where that use the network of the contiguities between units as auxiliary information in the frame. Its use is increased in the last decades as the GIS and GPS technologies made more and more cheap to add information regarding the exact or estimated position for each record in the frame. These data may represent a source of auxiliaries that can be helpful to design effective sampling strategies, which, assuming that the observed phenomenon is related with the spatial features of the population, could gather a considerable gain in their efficiency by a proper use of this particular information. This assumption is particularly relevant if we are dealing with not planned geographical domains or, in other terms, if we want that the design will be efficient for a future use within a small area estimation context. A method for selecting samples from a spatial finite population that are well spread over the population in every dimension should guarantee that the variability of the expected sampling ratio should be smaller than that obtained by using a simple random sampling. Some algorithms of sample selection are presented such that a set of units with higher within distance will be selected with higher probability than a set of nearby units. Some examples on real data show that the RMSE of the EBLUP estimates applied to samples selected with these network methods are lower than those obtained by using a classical solution as the Generalized Random Tessellation Stratified (GRTS). The proposed algorithm, even if in its nature it is computationally intensive, seems to be a feasible solution even when dealing with frames relevant to large finite network populations.
Insect invasions track a tree invasion: Global distribution of black locust herbivores

Many invasive plant species benefit from enemy release resulting from the absence of insect herbivores in their invaded range. However, over time, specialized herbivores may ‘catch up’ with such invasive plants. Black locust is a tree species with a relatively limited native range in North America but has invaded large areas in virtually every temperate continent including North America. We hypothesize that both intra‐ and intercontinental spread of black locust leads to a parallel, though delayed pattern of intra‐ and intercontinental spread of insect herbivores.
Model-Based Analysis of In Vivo Release Data of Levonorgestrel Implants: Projecting Long-Term Systemic Exposure

Levonorgestrel (LNG) is a progestin used in many contraceptive formulations, including subcutaneous implants. There is an unmet need for developing long-acting formulations for LNG. To develop long-acting formulations, release functions need to be investigated for LNG implant. Therefore, a release model was developed and integrated into an LNG physiologically-based pharmacokinetic (PBPK) model. Utilizing a previously developed LNG PBPK model, subcutaneous administration of 150 mg LNG was implemented into the modeling framework. To mimic LNG release, ten functions incorporating formulation-specific mechanisms were explored. Release kinetic parameters and bioavailability were optimized using Jadelle® clinical trial data (n = 321) and verified using two additional clinical trials (n = 216). The First-order release and Biexponential release models showed the best fit with observed data, the adjusted R-squared (R2) value is 0.9170. The maximum released amount is approximately 50% of the loaded dose and the release rate is 0.0009 per day. The Biexponential model also showed good agreement with the data (adjusted R2 = 0.9113). Both models could recapitulate observed plasma concentrations after integration into the PBPK simulations. First-order and Biexponential release functionality may be useful in modeling subcutaneous LNG implants. The developed model captures central tendency of the observed data as well as variability of release kinetics. Future work focuses on incorporating various clinical scenarios into model simulations, including drug-drug interactions and a range of BMIs.
Optimized Deep Reinforcement Learning for Smart Charging Scheduling of Plug-in Electric Vehicles

Abstract In recent decades, fossil fuels have been the major source of energy but concerns about price fluctuations, security, and environmental issues. Plug-in electric vehicles (PEVs) should be connected to the power grid for battery charging. With a wide range of cars, the power system performance in the distribution network. The uncontrolled charging of the battery can cause issues such as overvoltage, overload, unbalanced load, instability, harmonics, and increased loss. Hence, efficient charging methodologies need to be developed for the power grid. The objective of this article is to maximize the total revenue of the charging stations and schedule the charging stations for PEV charging with reduced cost. First, the system model with its objectives such as demand, constraints, and fitness values are computed. Next, efficient charging path planning is proposed using the deep Q network, which is a reinforcement learning model. This can assist the PEV user in selecting the charging station and planning its path. Lastly, the particle sailfish optimization from our previous research work has been used to solve the charging station optimal solution. The simulation results analysis shows the efficiency of the proposed model in reducing the charging cost and time and improves the charging scheduling of PEVs.
Deep IR adaptive optics imaging of the core of M71

Data collected in H and K bands from Gemini North observatory using the NIRI/ALTAIR adaptive optics (AO) system, have been used to draw a number of new conclusions about the globular cit ster M71. K band obser vations were made in 2 epochs, separated by a 1.81 year baseline, allowing for the separation of field stars from cluster stars based on proper motion. A color-magnitude diagram (CMD) made using only cluster stars agrees well with current models. A stellar density profile was also constructed and appears to flatten at small radii, suggesting that a multimass King profile does describe the cluster quite accurately, a result contrary to that found in other work. Most significantly, the distance to M71 was calculated using the measured velocity dispersion compared to the radial dispersion measured for giant stars. The distance measured was 3.36 ± 0.71 kpc.