Miracle-dz/UniFAR-FTUs huggingface dataset:
miRNA in Molecular Diagnostics

MicroRNAs are a class of small non-coding RNA molecules that regulate gene expression on post-transcriptional level. Their biogenesis consists of a complex series of sequential processes, and they regulate expression of many genes involved in all cellular processes. Their function is essential for maintaining the homeostasis of a single cell; therefore, their aberrant expression contributes to development and progression of many diseases, especially malignant tumors and viral infections. Moreover, they can be associated with certain states of a specific disease, obtained in the least invasive manner for patients and analyzed with basic molecular methods used in clinical laboratories. Because of this, they have a promising potential to become very useful biomarkers and potential tools in personalized medicine approaches. In this review, miRNAs biogenesis, significance in cancer and infectious diseases, and current available test and methods for their detection are summarized.
Estimation of Critical Safety Thickness of the Base against Confined Water Inrush for a Rectangular Foundation Pit

Affected by confined aquifer, basal inrush accidents caused by excavation are common in foundation pits, and accurate estimation of the safety thickness of the base is a big concern of engineers. In this paper, a three-dimensional failure mechanism of base inrush was constructed for a rectangular foundation pit. In this mechanism, the strength of the soil mass was assumed to be nonhomogeneous along the depth, and the soil-mass failure satisfied the linear and nonlinear Mohr–Coulomb strength criteria. Then, based on the limit equilibrium theory, the prediction method for the safety thickness of the base against confined water inrush was deduced, and a comparison with existing research works was conducted. Furthermore, the influence laws of soil strength parameters, pit design parameters, and confined water pressure on the critical safety thickness were analyzed. The results show that the critical safety thickness of the base is positively correlated with nonlinear coefficient and confined water pressure but negatively correlated with cohesion, internal friction angle, nonhomogeneity coefficient, and unit weight. The soil strength is a key factor affecting the base safety thickness, which should be paid enough attention to in engineering design and construction. The research findings in this paper can provide a theoretical reference for the prevention and control of basal inrush accidents in confined water strata.
Ecoregion and community structure influences on the foliar elemental niche of balsam fir (Abies balsamea (L.) Mill.) and white birch (Betula papyrifera Marshall)

Abstract Changes in foliar elemental niche properties, defined by axes of carbon (C), nitrogen (N), and phosphorus (P) concentrations, reflect how species allocate resources under different environmental conditions. For instance, elemental niches may differ in response to large‐scale latitudinal temperature and precipitation regimes that occur between ecoregions and small‐scale differences in nutrient dynamics based on species co‐occurrences at a community level. At a species level, we compared foliar elemental niche hypervolumes for balsam fir (Abies balsamea (L.) Mill. ) and white birch (Betula papyrifera Marshall) between a northern and southern ecoregion. At a community level, we grouped our focal species using plot data into conspecific (i.e., only one focal species is present) and heterospecific groups (i.e., both focal species are present) and compared their foliar elemental concentrations under these community conditions across, within, and between these ecoregions. Between ecoregions at the species and community level, we expected niche hypervolumes to be different and driven by regional biophysical effects on foliar N and P concentrations. At the community level, we expected niche hypervolume displacement and expansion patterns for fir and birch, respectively—patterns that reflect their resource strategy. At the species level, foliar elemental niche hypervolumes between ecoregions differed significantly for fir (F = 14.591, p‐value = .001) and birch (F = 75.998, p‐value = .001) with higher foliar N and P in the northern ecoregion. At the community level, across ecoregions, the foliar elemental niche hypervolume of birch differed significantly between heterospecific and conspecific groups (F = 4.075, p‐value = .021) but not for fir. However, both species displayed niche expansion patterns, indicated by niche hypervolume increases of 35.49% for fir and 68.92% for birch. Within the northern ecoregion, heterospecific conditions elicited niche expansion responses, indicated by niche hypervolume increases for fir of 29.04% and birch of 66.48%. In the southern ecoregion, we observed a contraction response for birch (niche hypervolume decreased by 3.66%) and no changes for fir niche hypervolume. Conspecific niche hypervolume comparisons between ecoregions yielded significant differences for fir and birch (F = 7.581, p‐value = .005 and F = 8.038, p‐value = .001) as did heterospecific comparisons (F = 6.943, p‐value = .004, and F = 68.702, p‐value = .001, respectively). Our results suggest species may exhibit biogeographical specific elemental niches—driven by biophysical differences such as those used to describe ecoregion characteristics. We also demonstrate how a species resource strategy may inform niche shift patterns in response to different community settings. Our study highlights how biogeographical differences may influence foliar elemental traits and how this may link to concepts of ecosystem and landscape functionality.
Quantum Field Theory in Curved Spacetime: Quantized Fields and Gravity

Preface Conventions and notation 1. Quantum fields in Minkowski spacetime 2. Basics of quantum fields in curved spacetimes 3. Expectation values quadratic in fields 4. Particle creation by black holes 5. The one-loop effective action 6. The effective action: non-gauge theories 7. The effective action: gauge theories Appendixes References Index.
Effect of Bee Bread on Growth Performance of Janapese Quails (Coturnix Japonica)

Bee bread is a product from the beehive which has unique properties and offers not only well absorbed nutrients such as fat, carbohydrates, and protein, due to the process of fermentation, but also whole spectrum of bioactive compounds. Bee products such as honey, bee venom, royal jelly is widely studied, but bee bread has not been well studied yet and there is a space for further experiments to study its impact. The present study was conducted to evaluate the effect on the growth performance of Japanese quails by adding bee bread into feeding mixture. Japanese quails (n = 80) were divided into four groups according to administered bee bread into feed mixture HYD 11, which was given ad libitum, as follows: P1 (n = 20) 2 g.kg -1 of bee bread, P2 (n = 20) 4 g.kg -1 , P3 (n = 20) 6 g.kg -1 , and the control without additives (n =20). The groups were kept under the same conditions. Data were collected from three weighing done on KERN PLE 4200-2N (Kern & Sohn, Germany) on the 1st day, when they were put into cages, then on the 28th day, and on the 56th day. A significant increase in weight (P ≤ 0.05) on 28 th day in group P1 compared with control group K was noticed. As a result of the research, we can conclude that bee bread has a significant (P ≤ 0.05) effect on elevating growth performance by addition 2 g.kg -1 of bee bread into feeding mixture. The effect of bee bread on growth performance shows positive impact, nevertheless, the results can be used for further examination.
Geometrical tests of cosmological models I. Probing dark energy using the kinematics of high redshift galaxies

We suggest to use the observationally measured and theoretically justified correlation between size and rotational velocity of galactic discs as a viable method to select a set of high redshift standard rods which may be used to explore the dark energy content of the universe via the classical angular-diameter test. Here we explore a new strategy for an optimal implementation of this test. We propose to use the rotation speed of high redshift galaxies as a standard size indicator and show how high resolution multi-object spectroscopy and ACS/HST high quality spatial images, may be combined to measure the amplitude of the dark energy density parameter, or to constrain the cosmic equation of state parameter for a smooth dark energy component. We evaluate how systematics may affect the proposed tests, and find that a linear standard rod evolution, causing galaxy dimensions to be up to 30% smaller at z=1.5, can be uniquely diagnosed, and will minimally bias the confidence level contours in the [Omega_Q, w] plane. Finally, we show how to derive, without a priori knowing the specific functional form of disc evolution, a cosmology-evolution diagram with which it is possible to establish a mapping between different cosmological models and the amount of galaxy disc/luminosity evolution expected at a given redshift.
Phase-Distortion-Robust Voice-Source Analysis

This work concerns itself with the analysis of voiced speech signals, in particular the analysis of the glottal source signal. Following the source-filter theory of speech, the glottal signal is produced by the vibratory behaviour of the vocal folds and is modulated by the resonances of the vocal tract and radiation characteristic of the lips to form the speech signal. As it is thought that the glottal source signal contributes much of the non-linguistic and prosodical information to speech, it is useful to develop techniques which can estimate and parameterise this signal accurately. Because of vocal tract modulation, estimating the glottal source waveform from the speech signal is a blind deconvolution problem which necessarily makes assumptions about the characteristics of both the glottal source and vocal tract. A common assumption is that the glottal signal and/or vocal tract can be approximated by a parametric model. Other assumptions include the causality of the speech signal: the vocal tract is assumed to be a minimum phase system while the glottal source is assumed to exhibit mixed phase characteristics. However, as the literature review within this thesis will show, the error criteria utilised to determine the parameters are not robust to the conditions under which the speech signal is recorded, and are particularly degraded in the common scenario where low frequency phase distortion
Gastrointestinal Microbiome and Multiple Health Outcomes: Umbrella Review

In recent years, there has been growing concern about the impact of the gastrointestinal microbiome on human health outcomes. To clarify the evidence for a link between the gastrointestinal microbiome and a variety of health outcomes in humans, we conducted an all-encompassing review of meta-analyses and systematic reviews that included 195 meta-analyses containing 950 unique health outcomes. The gastrointestinal microbiome is related to mortality, gastrointestinal disease, immune and metabolic outcomes, neurological and psychiatric outcomes, maternal and infant outcomes, and other outcomes. Existing interventions for intestinal microbiota (such as probiotics, fecal microbiota transplant, etc.) are generally safe and beneficial to a variety of human health outcomes, but the quality of evidence is not high, and more detailed and well-designed randomized controlled trials are necessary.
Genome-Wide Association Study in Bread Wheat Identifies Genomic Regions Associated with Grain Yield and Quality under Contrasting Water Availability

The objectives of this study were to identify genetic loci in the bread wheat genome that would influence yield stability and quality under water stress, and to identify accessions that can be recommended for cultivation in dry and hot regions. We performed a genome-wide association study (GWAS) using a panel of 232 wheat accessions spanning diverse ecogeographic regions. Plants were evaluated in the Israeli Northern Negev, under two environments: water-limited (D; 250 mm) and well-watered (W; 450 mm) conditions; they were genotyped with ~71,500 SNPs derived from exome capture sequencing. Of the 14 phenotypic traits evaluated, 12 had significantly lower values under D compared to W conditions, while the values for two traits were higher under D. High heritability (H2 = 0.5–0.9) was observed for grain yield, spike weight, number of grains per spike, peduncle length, and plant height. Days to heading and grain yield could be partitioned based on accession origins. GWAS identified 154 marker-trait associations (MTAs) for yield and quality-related traits, 82 under D and 72 under W, and identified potential candidate genes. We identified 24 accessions showing high and/or stable yields under D conditions that can be recommended for cultivation in regions under the threat of global climate change.
Notes on the Topology of Vector Fields and Flows

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COMPUTATIONAL METHODS FOR STOCHASTIC MULTICRITERIA ACCEPTABILITY ANALYSIS

Stochastic multicriteria acceptability analysis (SMAA) is a family of methods for aiding multicriteria group decision making in problems with inaccurate, uncertain, or missing information. These methods are based on exploring the weight space in order to describe the preferences that make each alternative the most preferred one, or that would give a certain rank for a specic alternative. The main results of the analysis are rank acceptability indices, central weight vectors and condence factors for different alternatives. The rank acceptability indices describe the variety of different preferences resulting in a certain rank for an alternative, the central weight vectors represent the typical preferences favouring each alternative, and the condence factors measure whether the criteria measurements are sufciently accurate for making an informed decision. The computations in SMAA require the evaluation of multi-dimensional integrals that must in practice be computed numerically. This paper presents efcient methods for performing the computations through Monte-Carlo simulation, and analyses the complexity and accuracy of the algorithms.
Effects of Calcium Carbide Used as a Fruit-Ripening Agent on Fruit Toxicity

Aims: To provide a comprehensive summary of what has been published about the effects of calcium carbide (CaC2) as a fruit-ripening agent and to determine the necessity or not to develop awareness among government agencies, policymakers, farmers, vendors, and scientists in order to best address different aspects of artificial fruit ripening issues and to provide more profitable solutions for global health preservation. Methodology: Scientific information about the effects of CaC2 published elsewhere was reviewed. Online databases of scientific journals which include Wiley Online Library, Science Direct, PubMed, CAS, CABI, AJOL and Google Scholar were used to select valuable studies. Results: Most studies have reported the hazardous potential of CaC2 as a ripening agent. Among other potential effects that were discovered through laboratory investigations are the adulteration of nutritional values of ripened fruits and direct or indirect toxicity in studied living systems such as genotoxicity and cytotoxicity to dividing cells, increase of the cellular oxidative stress, disturbance of the redox balance of the cell, estrogenic disruptions, increase of the white blood cells and Lymphocytes, alteration of hematopoiesis, alteration of sperm cells, a decrease of the fertility rate, weakness of the immune system, etc.). Conclusion: Overall, this review provides comprehensive information on what is known about the effects of CaC2 and showed the necessity to discourage its application as an artificial fruit ripening agent through the establishment of laws and regulations for better control of its use in most developing countries.
Residues and Uptake of Soil-Applied Dinotefuran by Lettuce (Lactuca sativa L.) and Celery (Apium graveolens L.)

Pesticides have been used for decades to protect agricultural products and increase productivity by controlling crop pests. However, the frequent application of pesticides on crops or soil leads to the accumulation of their residues in the environment, which will be subsequently absorbed by plants and finally translocated to edible parts. This study aimed to investigate the uptake of soil-applied dinotefuran and three major metabolites by lettuce and celery from the previous season’s applications and analyze their residues in soil and consumable parts. Dinotefuran was soil-applied at plant back intervals of 30 and 60 days (PBI-30 and PBI-60). Residues of dinotefuran and its metabolites in 50% and 100% mature lettuce leaves and celery shoots, soil after application, at planting, and at 50% and 100% plant maturity were estimated. Half-lives and bio-concentration factors were calculated. The uptake of dinotefuran by lettuce and celery ranged between 23.8% and 28% and between 51.73% and 53.06%, respectively. Respective half-lives (days) of dinotefuran applied on PBI-30 and PBI-60 were 1.33–1.54 and 0.91–2.16 in lettuce soil and 0.9–1.47 and 0.79–1.65 in celery soil. Residues were below Korean MRLs in PBI-60 and most PBI-30 samples. The calculated risk assessment parameters indicated that negligible risk could be expected. The current study recommends growing the next crop 60 days after harvesting the first crop, but not less than 30 days.
Detector Optimization Studies and Light Higgs Decay into Muons at CLIC

The Compact Linear Collider (CLIC) is a concept for a future $e^{+}e^{-}$ linear collider with a center-of-mass energy of up to 3 TeV. The design of a CLIC experiment is driven by the requirements related to the physics goals, as well as by the experimental conditions. For example, the short time between two bunch crossings of 0.5 ns and the backgrounds due to beamstrahlung have direct impact on the design of a CLIC experiment. The Silicon Detector (SiD) is one of the concepts currently being discussed as a possible detector for the International Linear Collider (ILC). In this thesis we develop a modified version of the SiD simulation model for CLIC, taking into account the specific experimental conditions. In addition, we developed a software tool to investigate the impact of beam-related backgrounds on the detector by overlaying events from different simulated event samples. Moreover, we present full simulation studies, determining the performance of the calorimeter and tracking systems. We show that the track reconstruction in the all-silicon tracker of SiD is robust in the presence of the backgrounds at CLIC. Furthermore, we investigate tungsten as a dense absorber material for the hadronic calorimeter, which allows for the construction of a compact hadronic calorimeter that fulfills the requirements on the energy resolution and shower containment without a significant increase of the coil radius. Finally, the measurement of the decays of light Higgs bosons into two muons is studied in full simulation. We find that with an integrated luminosity of 2 ab$^{-1}$, corresponding to 4 years of data taking at CLIC, the respective Higgs branching ratio can be determined with a statistical uncertainty of approximately 15%.
Convolutional Graph Thermography for Subsurface Defect Detection in Polymer Composites

Infrared thermography for quality assessment of polymer composites has gained increasing attention with the development of various thermographic data analysis methods. However, low-quality thermal images containing noise and inhomogeneous backgrounds restrict the defect detection performance of these methods. In this work, a convolutional graph thermography (CGT) method is proposed for subsurface defect detection in polymer composites. With a developed convolutional autoencoder thermogram enhancer, the noise and inhomogeneous background of the thermal image can be reduced. Subsequently, a graph-based dimensionality reduction method performs feature extraction on the enhanced thermograms. Consequently, the low-dimensional intrinsic manifolds of the high-dimensional thermographic data are characterized to highlight the defects visually. Two case studies on carbon fiber reinforced polymers demonstrated the performance of the proposed method.
Materia orgánica particulada y mineralogía de un Andisol bajo labranza y barbecho

La zona hortícola colombiana del oriente Antioqueño se encuentra en laderas donde se ha perdido gran parte de la capacidad productiva de sus suelos debido a la labranza continua. El objetivo de la investigación es determinar los cambios en contenido de la materia orgánica particulada (MOP) y en la mineralogía de un Andisol, en seis condiciones de manejo del suelo, en Marinilla (Antioquia, Colombia). Bajo el diseño en parcelas divididas, se realiza el muestreo de suelo (tres repeticiones por tratamiento) en parcelas con suelo virgen (SV), con 5, 10 y 20 años de labranza convencional (LC) y en parcelas con 5 y 10 años de barbecho (B). En cada una de las situaciones se muestrea con barreno hasta 0,2 m de profundidad. En cada muestra se cuantifica la MOP, se realizan análisis químicos (pH, Mg, K, P, S) y físicos (porosidad total, densidad aparente y diámetro medio ponderado en húmedo (DMPh)). La MOP fue sensible a los procesos de LC, disminuyendo en un 35 % y 75 % después de 5 y 10 años, respectivamente, en relación con el SV. El barbecho durante 5 años incrementó en forma significativa la MOP respecto de los suelos de LC. La MOP y DMPh presentaron una relación logarítmica (R2 = 0,80) que sugiere la influencia de la MOP en la estabilización de los agregados y en la fertilidad física del suelo. La dinámica de la MO con los óxidos amorfos de Fe y Al afectaron en corto tiempo la mineralogía de la fracción de arcilla debido al manejo del suelo.
Direct oral anticoagulant: Review article

Venous thromboembolism (VTE) and atrial fibrillation (AF) is a major burden on the health care system. The average occurrence of venous thromboembolism annually is around 108 per 100,000 person-year. DOACs have transformed treatment of coagulation disorder, and now, it is the leading treatment for stroke prevention in AF and VTE prophylaxis and treatment. For more many years, oral vitamin K antagonists (VKAs) were the drug of choice in managing VTE. VKAs treatment is safe and effective if therapeutic international normalized ratio (INR) maintained on the target. However, achieving a stable, therapeutic international normalized ratio (INR) can be difficult and challenging in the context of drug and food interactions and liver disorder, resulting in undertreatment which increases the risk of thromboembolism or overtreatment which might cause bleeding. Herein, we provide an overview of DOACs indications, use in specific comorbidities, monitoring parameters, perioperative management, and reversal agents.