Miracle-dz/UniFAR-FTUs huggingface dataset:
Complete spacelike hypersurfaces on symmetric spacetimes

A Lorentz manifold is said to be a conformally stationary spacetime if it is endowed with a globally defined conformal timelike vector field K, whereas it is a pp-wave when there is a globally defined parallel lightlike vector field K on M. The study of rigidity and non-existence results for spacelike hypersurfaces with constant mean curvature in these spaces has been considered in the last years by several authors. In this note we unify some known techniques and results related to both problems by considering spacelike hypersurfaces in a spacetime endowed with a globally defined conformal causal vector field. This wide family of Lorentz manifolds not only includes previous cases, but it also includes new families of spacetimes.
PSMA Images Thresholding for Prostate Cancer Detection

—Prostate cancer is the second most common cancer in men, with 10000 new cases and 2500 deaths every year. These numbers increase every year due to the ageing of the general populace. Computer-aided detection (CAD) of prostate cancer can perhaps provide a solution. Computer algorithms allow us to combine the enormous amount of images into a much smaller amount of images with high information content. Image segmentation is an important step of CAD system, the accuracy of the CAD system is related directly to the accuracy of the image segmentation. Thresholding techniques are the most used technique in image segmentation and the statistical approaches are wieldy used in image thresholding. The Gamma distribution was used for radar images processing and mammograms images processing, the results were promised. Our contribution in this paper is to use the Gamma distribution for PSMA segmentation. In this paper, we will use Gamma distribution in order to approximate the data in PSMA image by a mixture of gamma distributions. In this paper we used the maximum likelihood estimator in order to approximate the histogram by a mixture of Gamma distributions. Thresholds between classes are then estimated by minimizing the discrimination error between the classes of pixels in PSMA image. The experimental results on PSMA prostate images using this technique showed good thresholding of images.
Defense Biopriming and Antimicrobial Activity of Endophytic Bacteria and Associated Bacillus Species Contribute to Bacterial Crown Rot Tolerance in Papaya

Bacterial crown rot (BCR) is a re-emerging disease of papaya (Carica papaya) in Southeast Asia caused by a gram-negative, facultative anaerobic bacterium, known as Erwinia mallotivora. Ultrastructural observations using SEM revealed colonization of bacterial community common in a BCR-tolerant genotype, before onset of tisue regeneration or 9regrowth9. This observation led to the hypothesis that papaya-associated bacteria might play a role in BCR tolerance. Isolation, characterization and identification using 16S rRNA sequence of bacteria associated with the tolerant 9regrowth9 genotype resulted to the discovery of two endophytic bacteria, of genera Kosakonia (isolate EBW) and Sphingomonas (isolate EBY). Papaya root-associated Bacillus isolates were also identified to belong to the B. amyloliqufaciens clade (isolate BN, BS) and B. thuringiensis clade (isolate BT). Separate inhibition assays indicated that, papaya latex and autoclaved culture metabolites (ACMs) from isolated bacteria promptly (between 18-30h) and efficiently inhibited (60-65%) E. mallotivora proliferation in vitro. Moreover, when ACMs from BN and EBW were inoculated in surface-sterilized papaya seeds, it variably retarded seed germination (20-60% reduction), depending on plant genotype, but significantly stimulated plant growth and biomass accumulation, at around two-fold increase. Interestingly, ACMs from all isolates, especially EBW, significantly reduced BCR incidence and severity in susceptible genotype at around two-fold. Finally, these results indicated that tolerance of papaya against E. mallotivora infection is probably influenced by host innate properties such as tissue regrowth and pathogen inhibition by plant latex, and acquired properties including pathogen antagonism, growth promotion and defense biopriming through metabolites from beneficial endophytic and root-assocaited bacteria.
Research on College English Information Teaching Model Based on English Learning Motivation Analysis Under the Background of Big Data

Past experience indicated that the advancement of technology would greatly impact education and teaching. This essay explored the model of college English teaching of China in the age of Big Data, including the roles of teachers and students, and the methods for academic evaluation. It proposed the coping strategies for these changes at the reform and innovation of college English teaching in China ．
The Potential Biological Agent Bacteria Against for Controling Important Pathogens on Rice

The Potential Biological Agent Bacteria Against for Controling Important Pathogens on Rice At present, biological control technology for the main diseases of rice continues to grow. In the development of biological control technology, inhibition mechanism of pathogens in the development of disease in a plant population in a certain area becomes important. The aim of this study was to obtain potential biological agent bacteria for controlling important rice diseases based on antagonistic mechanism, ability to induce plant resistance and support plant fitness, and their compatibility. The results showed that Ralstonia pickettii TT47, Pseudomonas fluorescens P12, Chromobacterium sp. T51118, Bacillus subtilis 451 and 154, and Streptomyces sp. T51105 have an antibiosis mechanism by producing secondary metabolites and volatile compounds. Additionaly, Chromobacterium sp. and Streptomyces sp. also have a lysis mechanism on the basis of the chitinolityc enzyme production test. The antibiotic activity of R. pickettii and P. fluorescens were strong to P. oryzae on dual culture test with the highest inhibition up to 79.68% and 77.59% respectively. Inhibition growth of P. oryzae and R. solani mycelium on volatile tests up to 100% by Chromobacterium sp. T51118. Generally, all of biological agents were able to induce plant resistance and support to plant fitness. Compatibility test obtained R. pickettii, P. fluorescens, and Chromobacterium sp. were compatible. Based on the results, three biocontrol agent bacteria, namely P. fluorescens P12, R. pickettii TT47, and Chromobacterium sp. T51118 were excellent. They were able to suppress the growth of pathogens, were able to induce plant resistance and support plant fitness, as well as they have more diverse target pathogens, and compatible.
Mutual Coupling Reduction in Phased Array Antennas Applying High-Impedance Surface at X Band

This paper presents a microstrip phased array using High Impedance Surface - Electromagnetic Band Gap (HIS-EBG) in order to minimize the effects of mutual coupling among the antenna elements. Each element of the array is fed by a coaxial cable allowing the beam steering by controlling the signal of the input port of each element. This phased array operates at X Band as well as the band-gap of the HIS-EBG structure. Its main applications are satellite communication and broadcasting systems. Results show reductions in the mutual coupling up to 12 dB, and improvements in the return loss and gain.
Turning Data into Value – Exploring the Role of Synergy in Leveraging Value among Data

ABSTRACT Organizations sit on a treasure trove of data. Combining data from a plurality of sources is challenging but comes with enormous potential. Although this phenomenon is crucial for generating value, its underlying synergistic effect is virtually absent in IS literature. Grounded in systems theory, we developed a conceptual framework of data synergy by means of reviewing literature and conducting 24 semi-structured interviews. We reveal various enabling conditions, facilitating super-additive informational and transactional value generation.
Fiber-integrated fabric for non-tight contact bio-sensing of vital signs

In this research we present a novel configuration allowing to perform high precision sensing of various vital bio-signs obtained from a fiber-based sensor performing the measurements in a non-tight contact with the skin of the measured subject. We will discuss usage of various types of fibers: single as well as multi-mode. Laser beam is injected into the fiber. In the case of a single mode fiber along the fiber, special artifacts that are breaking the total internal reflection condition, are inserted. Those artifacts are causing to some portion of the injected light to escape the fiber and to interact with the nearby surrounding of the fiber, realizing a smart photonic drip. Changes in the resulted interferencebased intensity at the output of the fiber-sensor is analyzed and associated with various bio-medical signs. In the case of a multi-mode fiber, a detector analyzes the temporal-spatial changes of the 2-D speckle pattern imaged at the tip of the fiber. In both cases the fiber strain, temperature change and vibration associated movements occurring in the proximity of the fiber or in the fiber itself, cause change of the fiber propagating photons phase, polarization and amplitude which leads to temporal-spatial changes in the analyzed speckle pattern or in the resulted interference based intensity measured at the output of the fiber-sensor. After applying proper artificial intelligence (AI) algorithmic, one may correlate those small changes with various vital bio-signs such as heart rate, heart rate variability (HRV), heart sound (phono-cardiogram), respiration rate and sound and even blood pressure.
An Ant Colony and Simulated Annealing Algorithm with Excess Load VRP in a FMCG Company

Fast moving consumer goods pose a major research problem as the objective is to reach the customers in an efficient manner. The delivery of goods to consumers must reach quickly without any hurdles. We assume that the FMCG companies have multiple number of warehouse hubs to reach its vast majority of consumers. Sometimes a single vehicle may not be enough to complete the tour, hence we may require another small vehicle to reach the small set of customers. The above problem has been modelled as a supply chain vehicle routing model. In our paper we have used ant colony and simulated annealing algorithm to discuss the above problem and compare their efficiencies.
Identification of charcoal rot infecting pathogen of sunflower from Pakistan and detection of resistance source

Macrophomina phaseolina (Tassi) Goid was isolated from sick field of sunflower (Helianthus annuus L.) grown from Sargodha, Pakistan. Round to oblong shape sclerotia were recorded in morphological characterization. The isolate MIQ was highly virulent in pathogenicity test. Nucleotide evidence of internal transcribed spacer (ITS) regions (ITS1 and ITS2) from MIQ was submitted under the GenBank accession no. MH277017. In evolutionary tree, nucleotide evidence was compared with the charcoal rot of sunflower, mash, potato, sesame, black gram and cotton reported from Pakistan, China and Korea. MIQ shared the clusters with sunflower as it exhibited 99% genetic homology with charcoal rot of sunflower. Seventy nine germplasms of sunflower (61 from NARC and 18 from CA Sargodha) were screened during two consecutive years 2016-17 and 2017-18, against MIQ to figure out the best resistance sources under the field conditions. During the first year, the screening results revealed 0, 2, 5, 9, 8, 35 and 20 germplasms/lines found to be immune, highly resistant, resistant, moderately resistant, moderately susceptible, susceptible and highly susceptible respectively. During the second year, this response was changed to 0, 2, 3, 5, 6, 41 and 22 germplasms/lines respectively. Out of 61 lines received from NARC, none of the lines showed immune, highly resistant while 17576 and 17586 were found resistance. 5, 4, 32 and 18 were moderately resistance, moderately susceptible, susceptible and highly susceptible respectively. Out of 18 lines, B8555 and B2728 found to be highly resistant, B-208, B-302 and Rafinjan Black Iran exhibited resistant response and B-224, HA-259, HA-65 and Pervenate responded as moderately resistant. During the second year, the change in resistance to the susceptible response of NARC (17576, 17586, 17551, 17565, 17555 and 17546) and COA (Pervenat) lines/ germplasms were recorded. Thus the germplasms of COA, Sargodha consisted of a greater number of resistant lines as compared to that of NARC, Islamabad and can be used in sunflower breeding program against destructive charcoal rot disease of sunflower.
Child subjective well-being studies. Some points for discussion

The justification for undertaking research on child subjective well-being has been challenged on three grounds : that it is a smokescreen diverting attention from more serious issues in childhood ; that the measures of subjective well-being available lack reliability and validity ; and that the results of the research have little or no policy relevance. Each of these challenges are considered drawing on national and comparative empirical research (with a partial focus on France) undertaken over the last ten years. It is acknowledged that there is some truth in all three arguments, nevertheless research on subjective well-being has a part in the study of all domains of child subjective well-being. Subjective well-being has been and continues to be measured over time and between countries successfully ; and there are examples of policy makers acting as a result of the findings.
Adverse Hemodynamic Effects of Nefopam in Patients Undergoing Plastic and Aesthetic Surgery: A Single-Center Retrospective Study.

Multimodal analgesia is the most widely used strategy for treating patients with acute postoperative pain [1,2]. Postoperatively, it has a higher degree of analgesic effect and safety than unimodal analgesia [3]. Postoperative pain relief is a key issue that is closely associated with patient care and satisfaction, making it an important component of postoperative outcomes. Non-steroidal anti-inflammatory drugs (NSAIDs) and opioids are typically used for postoperative pain relief. Nefopam is a non-opioid analgesic that is used to improve postoperative pain [4], and it is generally known to be safe and well-tolerated. Most of the reported adverse effects include drowsiness, nausea and vomiting, and sweating [5]. In addition, its potentially more serious adverse effects include confusion and tachycardia. Unlike NSAIDs, it has no effect on platelet function, and unlike opioids, it does not raise the risk of respiratory depression [6,7]. There is a growing interest in postoperative hypothermia in surgical settings because it may lead to postoperative complications, a slower recovery, and poor outcomes [8]. Thus, it is considered a Sang Kyu Choi, Cheol Keun Kim, Dong In Jo, Myung Chul Lee, Jee Nam Kim, Hyun Gon Choi, Dong Hyeok Shin, Soon Heum Kim
The Association between Self-Rated Social Anxiety, Social Functioning, and Eating Disturbances in Girls with Autism Spectrum Disorder

ABSTRACT Eating Disturbances (ED) are common in young people with Autism Spectrum Disorder (ASD) and may be influenced by Social Functioning and Social Anxiety, but no report has been made of the relative associations between these factors. Fifty-three girls with ASD aged (M age = 9.6 yr, range = 6 yr to 14 yr) rated their Social Anxiety and their ED, and their mothers provided information on the girls’ Social Awareness, -Cognition, and -Communication. The girls’ self-rated Social Anxiety was significantly associated with their self-ratings of their ED, but mothers’ ratings of the girls’ Social Functioning was not significantly correlated with ED. The underlying factors involved in these relationships appeared to be related to restricted behaviour patterns and extreme anxiety regarding social interactions. Implications for future research and clinical practice are discussed.
Can Genetic Progress for Drought Tolerance in Popcorn Be Achieved by Indirect Selection?

The objective of this study was to estimate the direct and indirect effects of agricultural, morphological, physiological, and root traits of popcorn lines, under two conditions of water supply: full irrigation (FI) and drought stress (DS). A complete randomized block design with three replications was used to evaluate the following traits: expanded popcorn volume per hectare (EPV), 100-grain weight (100GW), mean ear length, mean ear diameter, number of grains per row (NGR), prolificacy (PRO), anthesis to silking interval, tassel length, number of tassel branches, plant height, shoot dry matter, green index (SPAD), and canopy temperature depression (CTD), root angle (RA), tap root volume (TRV), and crown root volume (CRV). Analyses of variance and path analysis, and subsequent partitioning of direct and indirect effects were performed. For the traits EPV, PRO, CTD, RA, CRV and TRV, the genotype x environment interaction was significant. Drought stress had significant effects on EPV (−7.15%), 100GW (−23.52%), SPAD (−29.31%), CTD (87.15%), RA (24.54%), and CRV (44.89%). The traits NGR and SPAD were found to be decisive for the expression of EPV. The exploitation of these traits by indirect selection is expected to induce increments in EPV in environments under DS and FI.
Abstract 18074: Fast and Accurate View Classification of Cardiac Echocardiograms Using Deep Learning

Background: Echocardiography is essential to modern cardiology. However, human interpretation limits accurate and standardized high-throughput analysis, limiting echocardiography from reaching its full clinical and research potential for precision medicine. Deep learning has been useful in analyzing medical images but has not yet been widely applied to echocardiography, partly due to the complexity of its multi-view, multi-modality format. The essential first step toward comprehensive computer-assisted echocardiographic interpretation is determining whether computers can learn to recognize standard views of the heart. Objectives: To test whether deep learning can accurately classify echocardiogram views. Methods: We anonymized 834,267 transthoracic echocardiogram (TTE) images from 267 patients (20-96 years, 51percent female, 26 percent obese) seen between 2000 and 2017 and labeled these images according to standard views. Images covered a range of real-world clinical variation and acquisition. We built a multilayer convolutional neural network and used supervised learning to simultaneously classify 15 standard views. Eighty percent of data used was randomly chosen for training and 20 percent reserved for validation and testing on never-seen echocardiograms. Results: Using multiple images from each clip, the model classified among 12 video views with 97.8% overall test accuracy without overfitting. Even on single low-resolution images, test accuracy among 15 views was 91.7 percent versus 70.2-83.5 percent for board-certified echocardiographers performing the same task. Confusional matrices, occlusion experiments, and saliency mapping showed that the model finds recognizable similarities among related views and classifies using clinically relevant image features. Conclusions: Deep neural networks can classify essential echocardiographic views simultaneously and with high accuracy. Our results provide a foundation for more complex deep-learning-assisted echocardiographic interpretation.
Qualitative discrimination of Chinese dianhong black tea grades based on a handheld spectroscopy system coupled with chemometrics

Abstract The evaluation of Chinese dianhong black tea (CDBT) grades was an important indicator to ensure its quality. A handheld spectroscopy system combined with chemometrics was utilized to assess CDBT from eight grades. Both variables selection methods, namely genetic algorithm (GA) and successive projections algorithm (SPA), were employed to acquire the feature variables of each sample spectrum. A partial least‐squares discriminant analysis (PLS‐DA) and support vector machine (SVM) algorithms were applied for the establishment of the grading discrimination models based on near‐infrared spectroscopy (NIRS). Comparisons of the portable and benchtop NIRS systems were implemented to obtain the optimal discriminant models. Experimental results showed that GA‐SVM models by the handheld sensors yielded the best predictive performance with the correct discriminant rate (CDR) of 98.75% and 100% in the training set and prediction set, respectively. This study demonstrated that the handheld system combined with a suitable chemometric and feature information selection method could successfully be used for the rapid and efficient discrimination of CDBT rankings. It was promising to establish a specific economical portable NIRS sensor for in situ quality assurance of CDBT grades.
Differential Diagnosis of Monotonous Fetal Heart Rate

The aim was to explore the possibility to forecast a risk of hypoxic lesions in a monot- onous fetal heart rate via ECG measurements by the methods of time and frequency analysis. The study involved 50 healthy pregnant women with singleton pregnancy at 37-41 weeks of gestation along with 17 pregnant women in the same period of gestation who had a monotonous fetal heart rate registered of various origin. The registration of fetal heart rates was performed using fetal monitor “Monica AN24” (“Monica Healthcare Ltd”, United Kingdom), transabdominal, using ECG electrodes. The software package “Monica DK” has been used to retrieve the “beat-to-beat” data. Analysis of experimental data was carried out on the basis of LABVIEW ® software (National Instruments ® , USA). The analysis of time parameters for fetal hypoxia showed a sharp decline in the spread function and a sharp increase in the concentration function. Spectral analysis showed a significant decrease in the ratio of high- to low-frequency components of the spectrum. In the analysis of fetal ECG, the ST segment depression was noted, which is also indicative of fetal hypoxia.