Miracle-dz/UniFAR-FTUs huggingface dataset:
Archive of SID PLOIDY DETERMINATION OF AEGILOPS CYLINDRICA HOST ACCESSIONS OF IRAN BY USING FLOW CYTOMETRY AND CHROMOSOME COUNTING

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Suc Khoe La Quan Trong Hon Sac Dep! Health is Better than Beauty! Improving Breast and Cervical Cancer Screening Outcomes among Vietnamese Women

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Utility Mining across Multi-Sequences with Individualized Thresholds

Utility-oriented pattern mining is an emerging topic, since it can reveal high-utility patterns from different types of data, which provides more information than the traditional frequency/confidence-based pattern mining models. The utilities of various items/objects are not exactly equal in realistic situations; each item/object has its own utility or importance. In general, the user considers a uniform minimum utility (minutil) threshold to identify the set of high-utility sequential patterns (HUSPs). This is unable to find the interesting patterns while the minutil is set extremely high or low. We first design a new utility mining framework namely USPT for mining high-Utility Sequential Patterns across multi-sequences with individualized Thresholds. Each item in the designed framework has its own specified minimum utility threshold. Based on the lexicographic-sequential tree and the utility-array structure, the USPT framework is presented to efficiently discover the HUSPs. With the upper-bounds on utility, several pruning strategies are developed to prune the unpromising candidates early in the search space. Several experiments are conducted on both real-life and synthetic datasets to show the performance of the designed USPT algorithm, and the results show that USPT could achieve good effectiveness and efficiency for mining HUSPs with individualized minimum utility thresholds.
Localization of Expansin Expression During Adventitious and Lateral Rooting in Response to Auxin in Loblolly Pine

19 INTRODUCTION . -21 MATERIALS AND METHODS 24 Plant materials . 24 Preparation of Dig-labeled RNA probe . 24 In situ hybridization 25 Western blot . 26 RESULTS . 28 Rooting responses to auxin by plant tissues with different rooting competence . 28 Comparison of expansin expression between hypocotyl and epicotyl cuttings with auxin treatment . 29 Localized expansin gene expression in lateral root formation sites . 30 . DISCUSSION . 36 REFERENCES 39 APPENDICES 45 . Appendix A: Protocol for RNA probe preparation -46 Appendix B: Modified protocol for in situ hybridization with non-radioactive probe . -50 BIOGRAPHY 67
Phylogeny and diversity of Timiriaseviinae ostracods (Podocopida, Cytheroidea) with description of one new species from arid Western Australia

Gomphodella De Deckker, 1981 belongs to the subfamily Timiriaseviinae, and it inhabits almost exclusively subterranean waters of Western Australia. We describe the ninth species of the genus, G. alexanderi sp. nov., from bore-holes in the Pilbara region. The species is closely related to G. yandii Karanovic, 2009 and G. quasihirsuta Karanovic, 2009, but can be distinguished by its shell morphology, appearance of the hemipenis, and chaetotaxy of the antenna. We also report on G. yandii and G. cf. martensi Karanovic, 2009, collected sympatrically with the new species, indicating some new characters not mentioned in the original descriptions. We show for the first time that Gomphodella has an inverse lophodont hinge, instead of a lophodont one as previously believed. The significance of the hinge structure, sulci, and other shell characters in the systematics of Timiriaseviinae are discussed. In addition, the posterior extension on the female body, the so-called ‘forked organ’, is here reported for the first time in the genus Gomphodella. Because these characters provide a new insight into the phylogenetic relationships of Timiriaseviinae we performed two cladistic analyses: one including only nine genera with living representatives, the other including 17 genera. They resulted in one and 23 equally parsimonious trees respectively. Inclusion of the fossil taxa significantly changes the tree topology, but on both trees the Gondwanan lineage, Cytheridella Daday, 1905/Gomphocythere Sars, 1924/Gomphodella is strongly supported, as well as a close connection between the South American semi-terrestrial and some fossil genera. Another well-supported clade is formed by the genera Kovalevskiella Klein, 1963, Frambocythere Colin, 1980 and Rosacythere Colin, 1980. Maps of distribution of Recent genera and geological age of Timiriaseviinae are also presented here. http://zoobank.org/urn:lsid:zoobank.org:pub:E3041FDD-7233-4733-841C-98549108FE61
Rapid Responses to Plant Hormones

IN TRODUCTION . 195 TECHNIQUES FOR ME ASURING RAPID RESPONSES . 196 RAPID RESPONSES TO AUXIN 197 Relationship to Protein Synthesis . 198 Modification of Timing of the Growth Response . 199 RAPID GROWTH PROMOTION BY N ON HORMON AL FACTORS 202 Promotion of Growth by Carbon Dioxide and Acid pH . 203 Relationship of the Acid Response to A uxin Action . 204 Auxin, Acid, and Cell Wall Chemistry . 210 Other Nonhormonal Factors . " . 214
De Novo Transcriptome Analysis of Dalbergia odorifera and Transferability of SSR Markers Developed from the Transcriptome

Dalbergia odorifera T. Chen (Fabaceae), indigenous to Hainan Island, is a precious rosewood (Hainan hualimu) in China. However, only limited genomic information is available which has resulted in a lack of molecular markers, limiting the development and utilization of the germplasm resources. In this study, we aim to enrich genomic information of D. odorifera, and develop a series of transferable simple sequence repeat (SSR) markers for Dalbergia species. Therefore, we performed transcriptome sequencing for D. odorifera by pooling leaf tissues from three trees. A dataset of 138,516,418 reads was identified and assembled into 115,292 unigenes. Moreover, 35,774 simple sequence repeats (SSRs) were identified as potential SSR markers. A set of 19 SSR markers was successfully transferred across species of Dalbergia odorifera T. Chen, Dalbergia tonkinensis Prain, and Dalbergia cochinchinensis Pierre ex Laness. In total, 112 alleles (3–13 alleles/locus) were presented among 60 Dalbergia trees, and polymorphic information content ranged from 0.38 to 0.75. The mean observed and mean expected heterozygosity was 0.34 and 0.40 in D. odorifera, 0.27 and 0.32 in D. tonkinensis, and 0.29 and 0.33 in D. cochinchinensis, respectively. The cluster analysis classified these 60 trees into three major groups according to the three Dalbergia species based on the genetic similarity coefficients, indicating these newly developed transferable markers can be used to explore the relationships among Dalbergia species and assist genetic research. All these unigenes and SSR markers will be useful for breeding programs in the future.
The role of metal ions in selective and sustainable processes

II! REFERAT! IV! PUBLICATIONS! (AND! PERSONAL! CONTRIBUTION)! VI! OTHER! PUBLICATIONS! AND! CONFERENCE! PRESENTATIONS! VI! LIST! OF! APPENDICES! VII! SOCIETAL! BACKGROUND! VIII! CONTENTS! X! 1! INTRODUCTION! 1! 1.1! FERROUS! TO! FERRIC! IRON! OXIDATION! IN! THIS! STUDY! (PART! 1)! 1! 1.2! FERRIC! TO! FERROUS! IRON! REDUCTION! WITH! ZINC! SULPHIDE! AND! SPHALERITE! (PART! 2)! 2! 1.3! INDIUM,! GALLIUM! AND! GERMANIUM! RECOVERY! FROM! ACIDIC! SOLUTIONS! (PART! 3)! 2! 1.4! THE! MAIN! OBJECTIVES! OF! THIS! THESIS! 4! 2! THE! ROLE! OF! METAL! IONS! IN! SELECTIVE! AND! SUSTAINABLE! PROCESSES! 5! 2.1! PART! 1:! OXIDATION! OF! FE2+! TO! FE3+! 5! EXPERIMENTAL! AND! ANALYTICAL! SECTION! 5! 2.1.1! Properties"and"characterisation"of"the"initial"materials". "5! 2.1.2! Catalysts"and"catalyst"properties". "5! 2.1.3! Oxidation"of"ferrous"sulphate". "6! 2.1.4! Analysis"of"Fe2+". "6! 2.1. 5! Product"characterisation". "7! 2.1. 6! Catalyst"and"end"product"characterisation"results". "11! 2.1. 7! Ferron"test"on"end"products". "11! 2.1. 8! Coagulation"and"flocculation"tests"on"end"products". "12! 2.1. 9! RAMAN? spectroscopy"on"end"products". "12! RESULTS! SECTION! 13! 2.1.10! Kinetic"experiments". "13! 2.1.11! Non? catalytic"reaction"mechanism"and"rate"equation". "15! 2.1.12! Simplified"rate"equations". "15! 2.1.13! Gas? liquid"equilibrium". "16! 2.1.14! Liquid? phase"mass"balances". "19! 2.1.15! Computational"procedures". "20! 2.1.16! Kinetic"results"over"active"carbon". "20! 2.1.17! Kinetic"results"over"combined"active"carbon–noble"metal"catalysts". "21! 2.1.18! Modelling"results". "25! 2.1.19! The"noble"metal"effect". "27! 2.2! PART! 2:! FERRIC! TO! FERROUS! IRON! REDUCTION! WITH! ZINC! SULPHIDE! AND! SPHALERITE! 29! EXPERIMENTAL! AND! ANALYTICAL! SECTION! 29! 2.2.1! Reduction"of"Fe3+"to"Fe2+". "29! RESULTS! SECTION! 31! 2.2.2! Dissolution"of"solid"particles". "31! 2.2.3! Reduction"with"zinc"sulphide"and"sphalerite". "31! 2.2. 4! The"sulphuric"acid"effect". "35! 2.2. 5! Analysis"of"particles"and"reducing"agent"and"solvent"effects". "36! 2.2. 6! Kinetics". "40! 2.2. 7! Modelling". "42! 2.3! PART! 3:! PRECIPITATION! OF! INDIUM,! GALLIUM! AND! GERMANIUM! 47! EXPERIMENTAL! AND! ANALYTICAL! SECTION! 47!
Molecular analysis of ethylene signal transduction in tomato

Molecular Analysis of Ethylene Signal Transduction in Tomato. (December 2003) Lori C. Adams-Phillips, B.S., University of Illinois at Champaign-Urbana Co-Chairs of Advisory Committee: Dr. James. J. Giovannoni Dr. Marla L. Binzel The plant hormone ethylene plays an important role in plant growth, development, and physiology. One of the critical components of the ethylene signal transduction pathway, ctr1 (constitutive triple response), was identified using a particularly useful seedling screen that takes advantage of the profound effects ethylene has on etiolated seedlings, known as triple response. CTR1 is one of six Arabidopsis MAPKKKs that are related to the Raf kinases, and acts as a negative regulator of ethylene response. In this study, isolation and characterization of a family of CTR1-like genes in tomato is reported. Based on amino acid alignments and phylogenetic analysis, the tomato CTR1-like (LeCTR) genes are more similar to Arabidopsis CTR1 (AtCTR1) than any other MAPKKK sequences in the Arabidopsis genome. The capacity of the LeCTR genes to function as negative regulators in ethylene signal transduction was tested through complementation of the Arabidopsis ctr1-8 mutant. Quantitative real-time PCR was carried out to generate an expression profile for the CTR1-like gene family during different stages of development marked by increased ethylene biosynthesis,
Subjective symptom impact on quality of life in patients with myotonic dystrophy

Background: Although functional impairment in patients with myotonic dystrophy is an important determinant of quality of life (QoL), it is possible that QoL could further be influenced by the subjective evaluation of symptoms. The aim of this study was to investigate the subjective symptom impact on the QoL, after controlling for functional impairment. Methods: Eligible patients with myotonic dystrophy type 1 (DM1) were recruited from four hospitals in Japan. Subjective symptom impact across four domains (muscle weakness, fatigue, pain, and myotonia) and overall QoL were evaluated using the Individualized Neuromuscular Quality of Life (INQoL) questionnaire. Functional impairment was assessed using the modified Rankin scale. Results: Eighty-six patients with DM1 were included in this study. On multiple regression analysis, a portion of the variance in the overall QoL was significantly accounted for by demographic variables and functional impairment (adjusted R2 = 0.32). In addition to these variables, subjective symptom impact (muscular weakness, fatigue, and myotonia) explained additional variance in the overall QoL (adjusted R2 = 0.80). Difficulties in activities of daily living and participation caused by each symptom consistently predicted overall QoL across three symptom domains (muscular weakness, fatigue, and myotonia). Conclusions: Subjective symptom impact needs to be considered, in addition to functional impairment, when evaluating the QoL of patients with DM1.
An Overview of Various Computer Vision-based Grading System for Various Agricultural Products

ABSTRACT Economic development of many countries depends mainly on agriculture. The role of agriculture has created a vast impact on various fields’ namely industrial activities, employability and capital formation. Further, to improve the economic growth of a country, technology-based agriculture processes can be deployed in pre-production and post-production stage. This study mainly focuses on the various post-production activities such as grading, sorting, quality evaluation, monitoring, defects detection, recognition and maturity detection. Traditionally, various agricultural post-production stages such as grading, sorting and quality assessment is mostly done as manual process. Such inspections are prone to errors due to their ineffectiveness and unreliability. Thus, advancements in technology can be deployed for enhancing manual agricultural tasks. This study deals with image processing techniques in agricultural post-production stages. With the support of computer vision-based systems (CVS), efficiency in post-production various activities can be improved. Various feature properties like size, colour, shape of the agricultural products like vegetables and fruits can be used in CVS for grading and sorting. The steps involved in Computer Vision-based Grading System (CVGS) are image acquisition, preprocessing, image segmentation, features extraction and classification. Though many intelligent models exist for grading agricultural products, there are still broad challenges that need to be resolved. These challenges can be weighed against the advantages of CVGS and the grading process can be improved a lot. This work is based on the exhaustive survey of CVS and the steps involved in CVGS. The outcome of this survey is presented as a comparative analysis of various technologies for grading systems available in the market.
Simple optimization for dual composition control

Optimization has become the ultimate objective for designers of distillation control systems. This is as it should be, since optimization promises to adjust the operation of distillation columns for maximum profit, even as the cost of energy and the values of product streams continually vary. In pursuit of this elusive objective, much effort has been focused on developing elaborate computer models of various separations to aid in determining optimum set points. Many of the models are capable of excellent results. However, they are also quite expensive, especially if they are developed by outside sources. Beyond their initial cost, they are difficult and expensive to calibrate and maintain, their assumptions and limitations may not be well-understood by operating personnel, and plant conditions inevitably change. Consequently, all too often, they lose their accuracy and fall into disfavor and disuse. This article describes an algorithm that uses a simple algebraic model to predict optimum composition set points for dual composition control of two-product columns. Although this technique will not equal the accuracy of more elaborate models, it can reliably predict whether an optimum lies within the range of allowable compositions, and whether it is sharp or broad. Where an optimum does exist, roughmore » economic data can give a first approximation of the economic incentive for applying more powerful analysis techniques. An optimum that lies beyond the allowable operating region indicated the need for constraint controls that can maintain the separation at its operating limits. « less
Research on Intelligent Vehicle Detection and Tracking Method Based on Multivision Information Fusion

With the development of the world economy and the acceleration of the urbanization process, the automobile has brought great convenience to people’s life and production activities and has become an essential means of transportation. Intelligent vehicles have the significance of reducing traffic accidents and improving transportation capacity and broad market prospects and can lead the development of the automotive industry in the future. Therefore, they have been widely concerned. In the existing intelligent vehicle system, lidar has become the leading role due to its excellent speed and accuracy and is an indispensable part of the realization of high-precision positioning. However, to some extent, the price is the main factor that hinders its marketization. Compared with the lidar sensor, the vision sensor has the advantages of fast sampling rate, light weight, low energy consumption, and low price; so, many domestic and foreign research institutions have listed it as the focus of research. However, the current visual-based intelligent vehicle environment perception technology is still prone to be affected by factors such as illumination, climate, and road type, resulting in the lack of accuracy and real-time performance of the algorithm. In this paper, the environment perception of intelligent vehicles is taken as the research object, and the problems existing in the existing road recognition and obstacle detection algorithms are deeply studied. Firstly, due to the complexity of texture feature extraction and voting calculation process of existing detection methods, and the influence of local strong texture feature interference inconsistent with road direction, a road image vanishing point detection algorithm based on combined 4-direction Gabor filter and particle filter technology was proposed. Then, aiming at the problem that the existing road image segmentation methods based on vanishing point constraint are too dependent on the edge features of road, which leads to oversegmentation easily, a method is proposed to improve the segmentation accuracy of road image by integrating road texture, road surface, and nonroad surface color features. Finally, the application of 3D reconstruction of road scene and obstacle detection technology based on binocular vision and visual navigation algorithm in intelligent vehicle trajectory tracking control is studied. Results show that the visual navigation algorithm can guide the vehicle routes along the road without a barrier, and compared with Wang Ren and two kinds of algorithm, the results show that this control algorithm effectively solves the traditional sliding mode control that is chattering phenomenon, overcomes the model matching, and does not match the interference problems, if used in the intelligent vehicle systems, it can reduce the thermal loss of electronic components and wear of actuator parts and improve the tracking accuracy.
Estimating Norms of Matrix Functions using Numerical Ranges

Estimating Norms of Matrix Functions using Numerical Ranges Daeshik Choi Chair of the Supervisory Committee: Professor Anne Greenbaum Mathematics Given a square matrix A, we consider sets S in the complex plane for which there exists a constant K such that ||p(A)|| ≤ K sup z∈S |p(z)| for all polynomials p, (1) where || · || is the operator norm induced by the 2-norm for vectors. There are many choices for such a constant K and a set S. For example, when K = 1 and S = {z ∈ C : |z| ≤ ||A||}, the result (1) is known as von Neumann’s inequality. If A is a normal matrix, then the inequality (1) holds with K = 1 and S = σ(A), the set of eigenvalues of A. In 2004, M. Crouzeix made the interesting conjecture that the inequality (1) holds for any square matrix A ∈ Cn,n, where K is 2 and S is the numerical range of A defined by W (A) = {x∗Ax : x ∈ C, ||x|| = 1}. The conjecture is proved when the dimension n is 2, but it has not been proved or disproved yet for general matrices of size larger than 2. In this thesis, we show that the conjecture holds for the matrices of the form λ α1 . λ αn−1 αn λ  , (2) where λ and αjs are complex numbers. Additionally, we will define three constants for a given square matrix and show their relation. Then, we will show how they could be used for Crouzeix’s conjecture. Moreover, we will compute the constants explicitly for the matrices of the form in (2). Finally, we show an application of Crouzeix’s conjecture to the generalized minimal residual method (GMRES). There are many results about the convergence rate of the GMRES algorithm when the numerical range of the coefficient matrix does not contain the origin, but we suggest a GMRES error bound which can be used even when the numerical range contains the origin.
Spider GAN: Leveraging Friendly Neighbors to Accelerate GAN Training Supporting Document

B. The Signed Inception Distance (SID) 6 B.1. Asymptotic Behavior of the Signed Distance . 6 B.2. SID Computation . 6 B.3. Experiments on Gaussian Data . 7 B.4. Evaluating GANs with SID . 8
Nutritional and reproductive signaling revealed by comparative gene expression analysis in Chrysopa pallens (Rambur) at different nutritional statuses

Background The green lacewing, Chrysopa pallens Rambur, is one of the most important natural predators because of its extensive spectrum of prey and wide distribution. However, what we know about the nutritional and reproductive physiology of this species is very scarce. Results By cDNA amplification and Illumina short-read sequencing, we analyzed transcriptomes of C. pallens female adult under starved and fed conditions. In total, 71236 unigenes were obtained with an average length of 833 bp. Four vitellogenins, three insulin-like peptides and two insulin receptors were annotated. Comparison of gene expression profiles suggested that totally 1501 genes were differentially expressed between the two nutritional statuses. KEGG orthology classification showed that these differentially expression genes (DEGs) were mapped to 241 pathways. In turn, the top 4 are ribosome, protein processing in endoplasmic reticulum, biosynthesis of amino acids and carbon metabolism, indicating a distinct difference in nutritional and reproductive signaling between the two feeding conditions. Conclusions Our study yielded large-scale molecular information relevant to C. pallens nutritional and reproductive signaling, which will contribute to mass rearing and commercial use of this predaceous insect species.