Miracle-dz/UniFAR-FTUs huggingface dataset:
Ectopic expression of an AGAMOUS homolog NTAG1 from Chinese narcissus accelerated earlier flowering and senescence in Arabidopsis

There are two cultivating varieties of Chinese narcissus, named as Yulinglong ( Narcissus tazetta var. chinensis Roem. Florepleno) and Jinzhanyutai ( Narcissus tazetta var. chinensis M. Roem.) well known in China. Yulinglong plants exhibit double flower resulted from petaloid stamens. However, the molecular basis of double flower formation is known little and unclear. Based on the flowering ABCDE model, double flower formation is commonly used to link to C functional genes. In this present paper, the isolation and characterization of NTAG1 gene, an AGAMOUS homolog from Chinese narcissus varieties mentioned above are reported. Sequence and expression pattern of NTAG1 gene exhibited the same in both tested varieties. It expresses only in the reproductive organs. Furthermore, functional analysis by using ectopic tests in Arabidopsis showed that NATG1 might be involved in the carpel identity and floral transition The effects of ectopic expression of NTAG1 mainly include dwarfing , early flowering, losing inflorescence indeterminacy,branch number increasing, and advancing senescence, whereas some of homeotic phenotypes gradually sisappeared in higher generation of transgenic plants. The utilizations of NATG1 gene in the future gene engineering were also discussed in the paper.
Research on Pattern Recognition Method of Blockage Signal in Pipeline Based on LMD Information Entropy and ELM

Aiming at the nonstationary and nonlinear characteristics of acoustic impulse response signal in pipeline blockage and the difficulty in identifying the different degrees of blockage, this paper proposed a pattern recognition method based on local mean decomposition (LMD), information entropy theory, and extreme learning machine (ELM). Firstly, the impulse response signals of pipeline extracted in different operating conditions were decomposed with LMD method into a series of product functions (PFs). Secondly, based on the information entropy theory, the appropriate energy entropy, singular spectrum entropy, power spectrum entropy, and Hilbert spectrum entropy were extracted as the input feature vectors. Finally, ELM was introduced for classification of pipeline blockage. Through the analysis of acoustic impulse response signal collected under the condition of health and different degrees of blockages in pipeline, the results show that the proposed method can well characterize the state information. Also, it has a great advantage in terms of accuracy and it is time consuming when compared with the support vector machine (SVM) and BP (backpropagation) model.
Testing the Validity of the Sibling Sex Ratio Instrument

We test the validity of the sibling sex ratio instrument suggested by Angrist and Evans using the methods proposed by Kitagawa and Huber and Mellace. The sex ratio of the first two siblings is arguably randomly assigned and influences the probability of having a third child, which makes it a candidate instrument for fertility when estimating the effect of fertility on female labor supply. However, identification hinges on the random assignment of the instrument, an instrumental exclusion restriction, and the monotonicity of fertility in the instrument. We find that the instrumental variable tests of Kitagawa and Huber and Mellace do not point to a violation of these assumptions in the Angrist and Evans data (which can, however, not be ruled out even asymptotically as the tests cannot detect all possible violations).
Analysis of exponential splitting methods for inhomogeneous parabolic equations

We analyze the convergence of the exponential Lie and exponential Strang splitting applied to inhomogeneous second-order parabolic equations with Dirichlet boundary conditions. A recent result on the smoothing properties of these methods allows us to prove sharp convergence results in the case of homogeneous Dirichlet boundary conditions. When no source term is present and natural regularity assumptions are imposed on the initial value, we show full-order convergence of both methods. For inhomogeneous equations, we prove full-order convergence for the exponential Lie splitting, whereas order reduction to 1.25 for the exponential Strang splitting. Furthermore, we give sufficient conditions on the inhomogeneity for full-order convergence of both methods. Moreover our theoretical convergence results explain the severe order reduction to 0.25 of splitting methods applied to problems involving inhomogeneous Dirichlet boundary conditions. We include numerical experiments to underline the sharpness of our theoretical convergence results.
Documento de trabajo Econometric Modelling of Spanish Very Long Distance lntenational Calling

This study estimates a demand model for the outgoing telephone caJling from Spain to a group of African and Oriental countries. The traffic to those countries is called very long distance calling because of the high tariffs applicable to all of them even when sorne of them are geographically not very distant. In this study a theoretical framework is used which takes into account the specific characteristics ofthe intemational long distance services and the socio-economic relatíonships between Spain and this group of countries. The analysis of annual data for minutes of calling between Spain and 27 countries from 1982 to 1991, using panel data techniques, reveals a significant own-price elasticity of -1.31 anda positive reciprocal ca1ling effect of +0.69. The estimated elasticity of the outgoing traffic to the volume of foreign tourism is +o.22. The estimated elasticities are in the range that is reported in other empirical studies. The favorite equation passes a battery of diagnostics.
Modelling the Construction On-Site Technology Adoption Process

The global modern technology market in the construction industry is valued at billions of dollars and the approach to technology diffusion taken by vendors has a major impact on the success or failure of those technologies. While many previous studies have examined the adoption and the diffusion of information technologies, the technology diffusion process for advanced on-site equipment such as tower and mobile cranes, piling rig and concrete pumps has received little attention. Based on interviews with vendors and customers covering regions in Australia and North America, during major construction equipment exhibitions, this paper presents a new equipment technology adoption model which, for the first time, describes the relationship between customers and vendors during the on-site technology adoption process. The implications of the model for fostering new on-site technology diffusion to boost productivity are discussed.
Growth Response of Heteroclarias Fingerlings Fed on Earthworm Meal in Hatchery Tanks

Abstract The study evaluated growth response of Heteroclarias fingerlings fed practical diet in which fish meal was substituted with graded levels of earthworm meal (E0, E25, E50, E75 and E100) in indoor tanks. Fingerlings were obtained through artificial insemination of brood stock with ovaprim in the laboratory. The resulting fries were fed with freshly harvested plankton for 4 weeks. Thereafter sixteen fingerlings weighing 4.73 g and measuring 6.512 mm standard length (on the average) were starved overnight and reared in five indoors tanks (0.8x 0.5x 0.5 m) in duplicate for eight weeks. Fingerlings were fed on graded earthworm meals containing 40% protein fed to the fingerlings twice daily at 0080 and 1600 hours. The best mean weight (6.77 g), specific growth rate (0.86) and protein efficiency ratio (0.6) was obtained with diet E50. Food conversion ratio (4.47) was highest with diet E50 and lowest (4.07) with diet E00 which was significant (p<0.05). The profit index for diet E50 was the highest (1.71). Again the highest net profit N 374.32 was recorded for diet E50. Water quality parameters observed were within tolerable units and conducive for the growth of the fingerlings well being. Earthworm meal at 50% inclusion drastically reduced production cost which was suggestive that, the meal was an excellent alternative protein source than fish meal in feed formulation.
THE EFFECTS OF A MINDFULNESS AND ACCEPTANCE BASED GROUP THERAPY FOR SOCIAL ANXIETY IN A FEMALE COLLEGE SAMPLE

The purpose of this study was to assess The Effects of a Mindfulness and Acceptance Based Group Therapy for Social Anxiety in a female college sample. The study was a randomized control trail. Forty eight participants (all university students and women) meeting DSM-IV-TR criteria for SAD were randomly assigned to MAGT (n:24) or a waitlist control group (n: 24). The measures of social anxiety, mindfulness and acceptance and depression were administered at pretreatment, post treatment and at a 3-month followup session. 36 patients completed this study. The MAGT group showed a significant improvement at the post-treatment and follow-up. ANCOVA results showed that the MAGT group had a significant improvement in the severity of SAD symptoms (p<0.001), depression (p<0.001), and also mindfulness (p<0.001) and acceptance (p<0.001). The present research is an additional support for the use of mindfulness and acceptance-based treatments for SAD.
Threshold Voltage Control through Layer Doping of Double Gate MOSFETs

Double Gate MOSFETs (DG MOSFETs) with doping in one or two thin layers of an o therwise intrinsic channel are simulated to obtain the transport characteristics, threshold voltage and leakage current. Two different device structures- one with doping on two layers near the top and bottom oxide layers and another with doping on a single layer at the centre- are simulated and the variation of device parameters with a change in doping concentration and doping layer thickness is studied. It is observed that an n-doped layer in the channel reduces the threshold voltage and increases the drive current, when compared with a device of undoped channel. The reduction in the threshold voltage and increase in the drain current are found to increase with the thickness and the level of doping of the layer. The leakage current is larger than that of an undoped channel, but less than that of a uniformly doped channel. For a channel with p-doped layer, the threshold voltage increases with the level of doping and the thickness of the layer, accompanied with a reduction in drain current. The devices with doped middle layers and doped gate layers show almost identical behavior, apart from the slight difference in the drive current. The doping level and the thickness of the layers can be used as a tool to adjust the threshold voltage of the device indicating the possibility of easy fabrication of ICs having FETs of different threshold voltages, and the rest of the channel, being intrinsic having high mobility, serves to maintain high drive current in comparison with a fully doped channel.
Online Social Networks using User to User Relationship On Hierarchical Clustering

Online social networks have gained considerable popularity due to convenient and easy communication, social relationship with individuals with the same characteristics, anonymity, and no need to physical move. Discover potential malicious activity using collaborative control. In this paper, we propose a partitioning algorithm for providing the security for the user personal information for providing policy and privacy for multiple user to specify there authorization.
Parasitism without frontiers: Infection variability of an intermediate host across multiple spatial scales

Background. Parasites are heterogeneously distributed in intermediate host populations, but how this variability changes between multiple geographic scales remain unclear. Here, we test whether in a complex host-parasite system developing in sandy shores, the high spatiotemporal variability in the physical structure of these habitats will lead to comparatively high variability in parasitosis observed at the local(i.e. few metres) and meso-scale (i.e. tens of km), relative to the regional scale (several 100s of km).
Conceptual design of an aircraft automated coating removal system

Paint stripping of the U.S. Air Force`s large transport aircrafts is currently a labor-intensive, manual process. Significant reductions in costs, personnel and turnaround time can be accomplished by the judicious use of automation in some process tasks. This paper presents the conceptual design of a coating removal systems for the tail surfaces of the C-5 plane. Emphasis is placed on the technology selection to optimize human-automation synergy with respect to overall costs, throughput, quality, safety, and reliability. Trade- offs between field-proven vs. research-requiring technologies, and between expected gain vs. cost and complexity, have led to a conceptual design which is semi-autonomous (relying on the human for task specification and disturbance handling) yet incorporates sensor- based automation (for sweep path generation and tracking, surface following, stripping quality control and tape/breach handling).
Coupling Synthetic Antibodies with Mass Cytometry Allows the Development of a Highly Tailored, Multi- Parametric Single Cell Analysis Strategy

Increased appreciation for the inherent heterogeneity in cell populations has prompted a demand for more parameters at the single cell level. Synthetic antibody technology allows the rapid development of monoclonal antibodies with exquisite specificity towards any cellular epitope of interest, surpassing traditional hybridoma techniques. A new technology termed mass cytometry (CyTOF) improves on conventional fluorescence detection by labeling antibodies with metal isotope tags, significantly increasing the parameters that can be distinguished simultaneously. In this thesis, the convergence of synthetic antibody technology with mass cytometry is proposed. A comprehensive set of synthetic antibodies towards the Eph Receptor family is amended and tested for use in CyTOF. After validation, this toolset is applied to the study of cancer heterogeneity in Glioblastoma Multiforme. Subsequent analysis by ViSNE and SPADE unearths a putative brain tumour initiating cell population, illustrating an example of the potential afforded through combining these technologies.
The Use of Thinprep Technique for the Evaluation of Conjunctival Cytology.

Background: Conjunctivitis is an inflammation of the membrane that lines the eyelids and covers the outer surface of the eye and is the most common ocular problem seen each year by practicing optometrists and ophthalmologists. Different forms of conjunctivitis are classified as either infectious or non-infectious. Identifying cell types can help to characterize the origin of the conjunctival inflammatory response as either infectious or non-infectious so the patient can be properly treated. Two non-invasive methods, a traditional scrape and smear and a new application of the ThinPrep® technique, have been developed for evaluating the cells of the eye. Methods: The patients' palpebral conjunctiva was swabbed with both techniques, testing slightly different areas to evaluate for leukocytes. The purpose of the study was to determine if there was a significant difference between the two techniques in evaluating the conjunctiva of the eye for cell cytology. Results: The results indicated that the ThinPrep® technique was significantly different from the traditional scrape and smear when comparing the total number of cells present (U = 1491.50, p=0.0362), cell preservation, and detecting the presence of neutrophils. However, the results did not show a significant difference when comparing the presence of monocytes, macrophages, eosinophils, and basophils. Conclusion: The new application of the ThinPrep® technique proved to be a reliable tool for evaluating the eye for cell cytology.
Linear spectral transformations for multivariate orthogonal polynomials and multispectral Toda hierarchies

Linear spectral transformations of orthogonal polynomials in the real line, and in particular Geronimus transformations, are extended to orthogonal polynomials depending on several real variables. Multivariate Christoffel-Geronimus-Uvarov formulae for the perturbed orthogonal polynomials and their quasi-tau matrices are found for each perturbation of the original linear functional. These expressions are given in terms of quasi-determinants of bordered truncated block matrices and the 1D Christoffel-Geronimus-Uvarov formulae in terms of quotient of determinants of combinations of the original orthogonal polynomials and their Cauchy transforms, are recovered. A new multispectral Toda hierarchy of nonlinear partial differential equations, for which the multivariate orthogonal polynomials are reductions, is proposed. This new integrable hierachy is associated with non-standard multivariate biorthogonality. Wave and Baker functions, linear equations, Lax and Zakharov-Shabat equations, KP type equations, appropriate reductions, Darboux/linear spectral transformations, and bilinear equations involving linear spectral transformations are presented.
X-ray color maps of the zoned garnets from Silgará Formation metamorphic rocks, Santander Massif, Eastern Cordillera (Colombia)

The metamorphic rocks of the Lower Paleozoic Silgara Formation of the Santander Massif, Eastern Cordillera (Colombia), were affected by a Barrovian-type metamorphism under low to high temperature and medium pressure conditions. These rocks contain garnet porphyroblasts, which show several kinds of chemical zoning patterns. The garnet grains behave as closed systems with respect to the rock matrix. Most of the observed zoning patterns are due to gradual changes in physicochemical conditions during growth. However, some garnet grains show complex zoning patterns during multiple deformation and metamorphic events.
Hard-Wired for Innovation? Comparing Two Policy Paths toward Innovative Schooling.

The task of this study is to compare two policy approaches to fostering, or “hard-wiring,” educational innovation in public schooling: the marketplace approach and the Finnish approach. The results suggest that an innovative public education sector is characterized by decentralized decision-making, institutional space for risk-taking, and strong support systems to both encourage risk-taking on the part of education actors and to spread innovative ideas throughout the education system. Results also suggest that there are several areas in need of further inquiry including the development of a foundational understanding of educational innovation, the need for better data on the ability of competitive markets to foster educational innovations and the kind of innovations they incentivize, and the need for better data on the role innovation plays in Finland’s success in academic achievement. A quick survey of recent literature addressing international trends in education policy and reform will quickly demonstrate that an important idea driving policy is the concept of innovation or, more specifically, the idea of “hard-wiring” innovation into the framework of the education sector. Grounded in the language of globalization and economic competition, the idea of educational innovation is a response to the perceived need on the part of policy-makers for institutional flexibility in public education to meet the changing needs of technology-based economies. The hope of education reformers the world over is to institutionalize innovation
Application of evolutionary algorithms to optimize the model parameters of casting cooling process

One of the most commonly used methods of numerical simulation is the finite element method (FEM). Its popularity is reflected in the number of tools supporting the preparation of simul ation models. However, despite its usefulness, FEM is often very troublesome in use; the problem is the selection of the finite element mesh or shape function. In addition, MES assumes a complete knowledge of the simulated process and of the parameters describing the investigated phenomena, including model geometry, boundary conditions, physical parameters, and mathematical model describing these phenomena. A comparison of the data obtained from physical experiments and simulations indicates an inaccuracy, which may resu lt from the incorrectly chosen shape of element or geometry of the grid. The application of computational intelligence methods, combined with knowledge of the manufacturing technology of metal products, should allow an efficient selection of parameters of the m athematical models and, as a consequence, more precise control of the process of the casting solidification and cooling to ensure the re quired quality. The designed system has been integr ated with the existing simulation environment, which will significantly facilitate th e preparation and implementation of calculations of this type. Moreover, the use of a distributed model will significantly reduce the tim e complexity of calculations, requiring multiple re petition of complex simulations to estimate the quality of the different sets of param eters.
Novel Compact Four-port Ultra-wideband (UWB) MIMO Antenna Using Cross Structure

A printed microstrip-fed four-port ultra-wideband (UWB) MIMO antenna is proposed. Four UWB antenna units are placed perpendicular to each other. Cross structure resonator is loaded on the back of the antenna to achieve high isolation. The UWB frequency is created by the rectangular patch with slots between the feedline and the patch on the front of the antenna. The overall volume of the antenna is 36.5×36.5×1.6mm3. The correlation coefficients of the antenna are less than 0.05 in the working frequency band. The isolation degree of each port is less than -15dB.The S parameters and the radiation patterns are measured and they are consistent with the simulation. The antenna can be applied to the UWB MIMO system.
Engineering the Secretory Pathway for Recombinant Protein Secretion in Saccharomyces cerevisiae

In the past few decades there has been an increasing demand of biopharmaceutical proteins in the market. Several types of cell factories are applied to produce different pharmaceutical proteins. However, manufacturers prefer to use a few favorable biological platforms to undertake the production tasks with low cost, high productivity and proper post-translational modifications. The yeast Saccharomyces cerevisiae is one of these preferred cell factories as it has many advantages. There are several reports on improvement of recombinant protein production by S. cerevisiae through rational engineering of different stages of the protein secretion pathway. In the first story of this thesis, we engineered protein anterograde trafficking by over-expression of SEC16 to increase the secretory capacity of yeast. We performed bioreactor fermentation to further characterize the engineered strains, and we analysis the reactive oxygen species accumulation, endoplasmic reticulum exit sites, the amount of endoplasmic reticulum membranes of the strains, etc. In the second story, we engineered the retrograde trafficking by over-expression of GLO3 and GCS1 to further increase the secretory capacity of yeast based on the strain constructed in the first story. Physiological changes in the engineered strains were analyzed. We also performed additional experiments to investigate the changes in the amount of endoplasmic reticulum membranes and reactive oxygen species accumulation. In the third story, we performed a systems level analysis of the high α-amylase production strains, which were screened from UV mutation in the previous study. We identified common regulation patterns and hereby we could specify some general rules for efficient protein secretion. Last, we reported an efficient yeast secretion assay platform for biomedical and biotechnological applications. This platform is responsive to secretory disturbances from both chemicals and proteins and is potentially applicable to drug screening and the selection of cell engineering targets for protein production.