Miracle-dz/UniFAR-FTUs huggingface dataset:
Enhancement of Rice Leaf Photosynthesis by Crossing between Cultivated Rice, Oryza sativa and Wild Rice Species, Oryza rufipogon

Abstract To study whether wild rice species have genes that may increase potential photosynthetic capacities of rice cultivars, we generated BC2 populations by reciprocally backcrossing Oryza rufipogon (W630) with O. sativa cv. Nipponbare and IR36; N-BC2 populations and IR-BC2 populations, respectively. We measured the oxygen evolution rates (OER) of single leaves under saturating light and CO2 as the maximum photosynthetic rates and the contents of ribulose 1,5-bisphosphate carboxylase/oxygenase (Rubisco) and Rubisco activase. Several lines in each BC2 population had significantly higher OERs than parental cultivars, and 14~25% of plants inBC2 populations had higher OERs than the highest values in parental cultivars. The highest OERs in BC2 populations were about 60% higher than average OERs in parental cultivars. The BC2 populations contained 30~40% more Rubisco than parental cultivars. The Rubisco activase contents in N-BC2 populations were 15~30% lower than that in Nipponbare. Cytoplasms derived from O. rufipogon and O. sativa had different effects on the contents of Rubisco and Rubisco activase particularly in N-BC2 populations. In several lines of each BC2 population the OERs had positive correlations with the contents of Rubisco and/or Rubisco activase. These results suggest that O. rufipogon can be used as a source of germplasm to enhance the photosynthetic capacity of O. sativa.
Antibiotic prophylaxis and infectious complications in patients on peritoneal dialysis undergoing lower gastrointestinal endoscopy

Antibiotic prophylaxis and infectious complications in patients on peritoneal dialysis undergoing lower gastrointestinal endoscopy William T. Clarke, Venkata R. Satyam, David I. Fudman, Samantha Zullow, Kashika G. Goyal, Katerina L. Byanova, Christopher Huang and Joseph D. Feuerstein* Division of Gastroenterology, Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA; Department of Medicine, Boston Medical Center, Boston University School of Medicine, Boston, MA, USA; Present affiliation: Division of Digestive and Liver Diseases, Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA; Present affiliation: Division of Gastroenterology and Hepatology, New York University Langone Medical Center, New York University School of Medicine, New York, NY, USA; Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA; Section of Gastroenterology, Department of Medicine, Boston Medical Center, Boston University School of Medicine, Boston, MA, USA
NON-RADIOACTIVE IN SITU HYBRIDIZATION PROCEDURES USING MERCURY- AND ACETYLAMINOFLUORENE LABELLED PROBES

Two methods for nucleic acid hybridization are discussed in which, instead of radioactive markers, labels like fluorochromes or cytochemically detectable enzymes are applied. In one method mercury is covalently bound to the probe in order to allow, after the hybridization, coupling of a ligand which in addition to the mercury-binding thio-group, contains a fluorochrome or a hapten. In another procedure the probe is haptenized before the hybridization by treatment with N-acetoxy-2-acetylaminofluorene, resulting in the covalent attachment of AAF-groups. In both methods, the haptens in the hybrids are visualized by immunocytochemical procedures. Our efforts so far, resulted in methods which in addition to speed and a high topological resolution, reached a sensitivity that allows the detection of unique mammalian sequences in both in situ and in Southern blot hybridization experiments. With these procedures the detection of separate target DNAs simultaneously within one microscopic preparation is possible, as is in situ hybridization on interphase nuclei in suspension. Several aspects of these procedures as well as results obtained so far are discussed.
An Explanation of the Anomalous Magnetic Moment of Electron and of Muon in Accordance with a Pre-Quantum Vortexial Model of Particle and of Magnetic Moment

In the paper is presented a possible classical explanation of the anomalous value ae = α/2π of the electron’ and of the muon’s magnetic moment, based on a vortexial pre-quantum model of electron and on the vortexial nature of the electron’s magnetic moment resulted in the model as etherono-quantonic vortex: Γ*μ(r) = Γμ(rμ’) + ΓB(r>rμ’), of ‚heavy’ etherons (ms ≈ 10-60 kg)generating the magnetic potential A and of quantons (mh = h⋅1/c2 = 7.37x10-51 kg) generating vortex-tubes ξB that materializes the B-field lines of the magnetic induction and a spinorial mass mμ of photons vortexed with the light’ speed in the volume of radius rμ’ = rμ0(1+ α/2π), (rμ0 = ħ/mec). The value of the spinorial mμ-mass which explains the anomalous magnetic moment results almost equal but lower than the inertial mass me to which it not contribute, by the conclusion that the quantonic Γ*μ(r) vortex generates the inertial memass by photons confining with only a part ΔΓB of the ΓB-vortex, limited by a radius rl ≈ 3√[2π/(2π-6)]⋅rμ’, the mμmass explaining also the spin’s value Sh ≈ ħ/2. The muon’s and the proton’s anomalous magnetic moments are expained by a composite fermion type of particle, with the e-charge given by an electron attached to a neutral cluster of magnetically paired quasi-electrons, with degenerate magnetic moment resulted by a degenerate Compton radius, i.e., decreased proportional with the density of particle’s quantum volume in which is introduced the electron’s superdense kernel.
Prediction of heart diseases using Machine Learning algorithms

Heart-related diseases or cardiovascular diseases are the main reason for huge number of deaths in the world over last few decades in the developed as well as underdeveloped and developing countries. Early detection of cardiac diseases and continuous supervision of clinicians can reduce the mortality rate. However, accurate detection of heart diseases in all cases and consultation of a patient for 24 hours by a doctor is not available since it requires more wisdom, time and expertise. Machine learning techniques help health care professionals in the diagnosis of heart disease. This aims a better understanding and application of machine learning in the medical domain, an automated system in medical diagnosis would enhance medical efficiency and reduce costs. In order to decrease the number of deaths by heart diseases there have to be a quick and efficient detection technique, the use of multiple machine learning algorithms for heart disease, models based on supervised learning algorithms such as: Decision tree, Naive Bayes, K-Nearest Neighbors, Random Forest, Logistic Regression, and then implement them to predict heart disease based on patients’ medical records. Find the accuracy of the models, Choose the best output with the highest accuracy. These machine learning algorithms and techniques have been applied to various medical data sets. The implementation of work is done on heart disease data set from the University of California Irvine (UCI) machine learning repository, it contains several instances and attributes. By using the data set we test on different machine learning techniques and predict the best model which is computationally efficient as well as accurate for the prediction of heart disease.
DO EU-FREE TRADE AGREEMENT IMPROVE THE FOREIGN TRADE COMPETITIVENESS IN MOROCCO? GRAVITY MODEL ANALYSIS

This study investigate the effect of EU-free trade agreement (FTA) signed between Morocco and its European partners during the period (1985-2013). For this aim, we use two gravity models (basic gravity model and augmented gravity model) with using some variables like GDP, distance, economic freedom and economic openness. We find that the results are consistent with the predictions of basic gravity model to one side. On the other hand, our results have some implications for policymakers: Improve the institutional framework in the context of political coordination between Morocco and its partners and re-discuss the strengths of the free trade agreement with the UE countries in order to improve the competitiveness of foreign trade of our economy.
Role of FoxO Proteins in Pancreatic β Cells

Forkhead transcription factors of the FoxO family have important roles in cellular proliferation, apoptosis, differentiation and stress resistance. FoxO proteins also play important roles in metabolism of complex organisms. FoxO1 regulates glucose and lipid metabolism in liver, as well as preadipocyte, myoblast and vascular endothelial cell differentiation. In the hypothalamus, FoxO controls food intake. In this chapter, we review the role of FoxO in pancreatic β cells. Pancreatic β cells secrete insulin to maintain the plasma glucose levels in a strict physiological range. Defects of β cell function cause diabetes. The expression pattern of FoxO1 during pancreatic organogenesis is similar to that of Pdx1, Nkx2.2 and Pax4, transcription factors known to be critical for β cell development. FoxO1 is expressed in a subset of pancreatic duct cells, in which insulin and/or Pdx1 are occasionally expressed. FoxO1 inhibits β cell proliferation through suppression of Pdx1 by competing with FoxA2 and protects against β cell failure induced by oxidative stress through NeuroD and MafA induction. Thus, a series of FoxO1 studies in pancreas suggested that FoxO1 plays important roles in pancreatic β cell differentiation, neogenesis, proliferation and stress resistance. Genetic or pharmacological manipulation of FoxO can be used to prevent β cell failure or aid in the differentiation of uncommitted endocrine progenitors into β cells for transplantation.
Tumor Necrosis Factor-α Provokes a Hypertrophic Growth Response in Adult Cardiac Myocytes

Background Tumor necrosis factor-α (TNF-α) is a pleiotropic cytokine with a broad range of concentration-dependent effects. The recent observation that TNF-α is expressed by the cardiac myocyte after certain forms of stress suggests that TNF-α might contribute to the maintenance of normal tissue homeostasis after environmental injury. Accordingly, the purpose of this study was to examine the effects of TNF-α on protein synthesis in cultured adult cardiac myocytes. Methods and Results Cultured adult feline cardiac myocytes were stimulated with 10 to 1000 U/mL TNF-α to examine the effects of this cytokine on the rate of protein synthesis and degradation. Stimulation with TNF-α led to an accelerated rate of general protein synthesis and a time-dependent decrease in protein degradation in adult cardiac myocytes. The specificity of these findings was demonstrated by studies in which the effects of TNF-α on protein synthesis were blocked by a neutralizing anti–TNF-α antibody as well as studies in which TNF-α–co.
Protein and Starch Properties of Some Tetraploid Wheats

ABSTRACT The tetraploid relatives (subspecies) of commercial durum wheat (Triticum turgidum L. subsp. turgidum conv. durum (Desf.) MacKey) offer a source of economically useful genes for the genetic improvement of durum cultivars. Thirty-two accessions, representing five different subspecies: var. durum (13 accessions), polonicum (7), persicum (3), turanicum (5), and turgidum (4) were grown at Tamworth, Australia, in 1997 and 1999. These accessions were compared with three durum cultivars: Wollaroi and Kamilaroi (in both years) and Yallaroi (in 1998 only). In this study, the glutenin subunit composition and molecular weight distribution, together with starch properties of these accessions, were studied. A much wider range in both the glutenin subunit composition and the starch RVA paste viscosities and gelatinization profiles were found in the accessions compared with the cultivated durum wheats. Most of the accessions had lower gluten strength and the presence of poor quality LMW alleles, and low proport.
DC Component Recovery in Kramers-Kronig Receiver Utilizing AC-Coupled Photo-Detector

The Kramers–Kronig (KK) receiver has recently drawn a great deal of attention due to its capability to extract the complex-valued electric field of optical signal from the directly detected signal. One practical issue is the recovery of the DC component lost upon the reception using an AC-coupled photo-detector. Due to the nonlinear operation of KK algorithm, it is necessary to recover the DC value of the signal before executing the algorithm. A common method to estimate the DC component was to sweep the DC value added to the detected signal, while measuring the system performance metrics such as bit-error ratio (BER). In this article, we propose and demonstrate a simple one-step DC recovery method for KK receiver. By inserting a zero-padded preamble in the modulation data and measuring a couple of statistical averages of the detected AC-coupled signal, we can estimate the DC component accurately even when the carrier-to-signal power ratio (CSPR) is low. Thus, this method estimates the DC component rapidly without time-consuming and power-hungry signal processing such as demodulation and BER calculation. We carry out a series of computer simulations and experiments to measure the accuracy of the proposed method. The results show that the proposed method incurs negligible sensitivity penalties compared with the conventional DC-sweep method. Also, provided in this paper is the design guideline on the proposed method.
Antioxidants Can Mitigate Decreased Neurogenesis of Neural Stem Cells During Noise Stress

Department of Anatomical Sciences, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran Department of Anatomical Sciences, School of Medicine, Zahedan University of Medical Sciences, Zahedan, Iran Corresponding author: Department of Anatomical Sciences, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Email: mahtab.teymuri@yahoo.com Corresponding author: Department of Anatomical Sciences, School of Medicine, Zahedan University of Medical Sciences, Zahedan, Iran. Email: tasanchooli@gmail.com
Response Priming with Horizontally and Vertically Moving Primes: A Comparison of German, Malaysian, and Japanese Subjects

Response priming refers to the finding that a prime preceding a target influences the response to the target. With German subjects, horizontally moving dots as primes, and static arrows as targets, there are typically faster responses to compatible (i.e., prime and target are associated with the same response) as compared to incompatible targets (i.e., positive compatibility effect, PCE) with short stimulus onset asynchronies (SOAs). In contrast, with longer SOAs, subjects respond faster to incompatible as compared to compatible targets (i.e., negative compatibility effect, NCE). In the present study, we extended the evidence by adding vertically oriented materials. Furthermore, we tested subjects from Malaysia and Japan, where the vertical orientation is more present in daily life, and compared them to German subjects to investigate whether the amount of experience with one orientation influences the compatibility effects on this orientation. Overall, we found pronounced PCEs in the short SOA (i.e., 150 ms) but only reduced PCEs in the longer SOAs (i.e., 350, 550, and 750 ms) across all countries and orientations. There were no differences between the German and Malaysian samples, but the Japanese sample showed larger PCEs in the longer SOAs compared to both other samples. Furthermore, we found larger PCEs for horizontal than vertical materials in the short SOA and larger PCEs for vertical than horizontal materials in the longer SOAs. We discuss our findings in light of theories and findings on compatibility effects as well as attentional mechanisms.
Whole-Genome Shotgun Sequencing of Mitochondria from Ancient Hair Shafts

Although the application of sequencing-by-synthesis techniques to DNA extracted from bones has revolutionized the study of ancient DNA, it has been plagued by large fractions of contaminating environmental DNA. The genetic analyses of hair shafts could be a solution: We present 10 previously unexamined Siberian mammoth (Mammuthus primigenius) mitochondrial genomes, sequenced with up to 48-fold coverage. The observed levels of damage-derived sequencing errors were lower than those observed in previously published frozen bone samples, even though one of the specimens was >50,000 14C years old and another had been stored for 200 years at room temperature. The method therefore sets the stage for molecular-genetic analysis of museum collections.
Broadband Spectral Numerical Green's Function for Electromagnetic Analysis of Inhomogeneous Objects

In this letter, we present a novel and efficient broadband spectral numerical Green's function (S-NGF) for inhomogeneous region. The proposed S-NGF is formulated in terms of the matrices that are obtained by the finite-element method (FEM). By performing modal analysis to FEM matrices, the proposed S-NGF is encapsulated by a series of resonant solenoidal modes where the operating frequency is embedded in the expansion coefficients. Besides, the convergence of the series of resonant solenoidal modes can be greatly accelerated by performing an extraction at one low wavenumber. The S-NGF can be rapidly reconstructed at different frequencies when it is integrated into the surface integral equation for inhomogeneous object modeling. The proposed algorithm is easy to implement, and well suited for the design and optimization of inhomogeneous electromagnetic structures, where fast solutions at massive frequencies are called for. The numerical examples demonstrate the efficiency and accuracy of the proposed scheme.
Distributed Cooperative Guidance for Multivehicle Simultaneous Arrival Without Numerical Singularities

Kang Li∗ Westlake University, 310024 Hangzhou, People’s Republic of China Jianan Wang Beijing Institute of Technology, 100081 Beijing, People’s Republic of China Chang-Hun Lee Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea Rui Zhou Beijing University of Aeronautics and Astronautics, 10083 Beijing, People’s Republic of China and Shiyu Zhao Westlake University, Westlake Institute for Advanced Study, 310024 Hangzhou, People’s Republic of China
Genotype × environment interaction in soybean: evaluation through three methodologies.

Soybean is cultivated in the wide range of environments of Parana State. Selection for genotypes of high and predictable yields with wide adaptability are main targets of the breeding programs for this region. The adaptability and stability of 30 soybean cultivars of three different maturity groups (early, semi-early and medium maturity) with a focus on grain yield were evaluated in the crop seasons 1999/2000, 2000/2001 and 2001/2002 through three different methodologies, in 30 different environments of the state of Parana. The experiment had the design of random blocks with 3 replications. The genotypes performed differently regarding yield adaptability and stability. Cultivars CD 202 (early), M SOY 7202 and CD 206 (semi-early), and M SOY 7602 (medium) attained the highest level of adaptability and stability of the 30 evaluated environments.
Effects of Marine Exhaust Gas Scrubbers on Gas and Particle Emissions

There is an increase in installations of exhaust gas scrubbers on ships following international regulations on sulphur content in marine fuel from 2020. We have conducted emission measurements on a four-stroke marine engine using low sulphur fuel oil (LSFO) and heavy fuel oil (HFO) at different steady state engine loads. For the HFO the exhaust was probed upstream and downstream of an exhaust gas scrubber. While sulphur dioxide was removed with high efficiency in the scrubber, the measurements of particle emissions indicate lower emissions at the use of LSFO than downstream of the scrubber. The scrubber removes between 32% and 43% of the particle mass from the exhaust at the HFO tests upstream and downstream of the scrubber, but levels equivalent to those in LSFO exhaust are not reached. Decreases in the emissions of polycyclic aromatic hydrocarbons (PAH-16) and particulate matter as black carbon, organic carbon and elemental carbon, over the scrubber were observed for a majority of the trials, although emissions at LSFO use were consistently lower at comparable engine power.
Sarcopenia as a Risk Factor of Morbimortality in Colorectal Cancer Surgery

Background: Colorectal cancer (CRC) surgery is associated with high rates of postoperative morbimortality. Sarcopenia has been identified as an independent predictor of these surgical outcomes. Methods: A sample of 272 patients who underwent CRC surgery between January 2005 and May 2010 at Braga Hospital, was selected. Sarcopenia was defined by the skeletal muscle mass index, measured by preoperative computed tomography (CT), at L3 level, using ImageJ® software. Associations between sarcopenia and qualitative variables were analyzed by Chi-Square Test (χ2) or Fisher’s Exact Test and, for quantitative variables, by Mann-Whitney Test. A multivariate logistic regression was performed to assess if sarcopenia was an independent predictor of major morbidity. The overall and recurrence-free survivals were analyzed by Kaplan-Meier method and multivariate Cox regression was performed for recurrence-free survival. Results: The prevalence of sarcopenia was 19.1%. Sarcopenia was associated with male gender, no CRC family history and colon tumour (p < 0.001, p = 0.029 and p = 0.017, respectively). The presence of sarcopenia was associated with postoperative morbidity Clavien–Dindo classification (p = 0.003), and sarcopenia was an independent predictor for major complications (grade ≥ III) (p = 0.003). Conclusions: The evaluation of sarcopenia in patients undergoing CRC surgical resection allows to predict a higher probability of major postoperative morbimortality.
Structure Preserving Compressive Sensing MRI Reconstruction using Generative Adversarial Networks

Compressive sensing magnetic resonance imaging (CS-MRI) accelerates the acquisition of MR images by breaking the Nyquist sampling limit. In this work, a novel generative adversarial network (GAN) based framework for CS-MRI reconstruction is proposed. Leveraging a combination of patch-based discriminator and structural similarity index based loss, our model focuses on preserving high frequency content as well as fine textural details in the reconstructed image. Dense and residual connections have been incorporated in a U-net based generator architecture to allow easier transfer of information as well as variable network length. We show that our algorithm outperforms state-of-the-art methods in terms of quality of reconstruction and robustness to noise. Also, the reconstruction time, which is of the order of milliseconds, makes it highly suitable for real-time clinical use.