Miracle-dz/UniFAR-FTUs huggingface dataset:
The epithelial cell adhesion molecule (EpCAM) regulates cell motility and cell-cell adhesion by inhibiting PKC signaling

Tissue cohesion is achieved in part by a large family of plasma membrane-bound cell adhesion molecules (CAMs). During morphogenesis, CAM-mediated interactions provide adhesive forces required for cells to aggregate and form tissues. CAM-mediated adhesions in developing cells are highly dynamic, which provides the fluidity required for cellular movements that drive morphogenesis. Xenopus laevis gastrulation is an established model to study morphogenetic movements. During this phase of development, the mesoderm moves inside the embryo through involution, and migrates along the inner surface of the ectoderm while remaining separated from this tissue. Members of the Fagotto lab have identified the Xenopus orthologue of the Epithelial Cell Adhesion Molecule (EpCAM) in a gain-of-function screen to find gene products that cause aberrant ectoderm/mesoderm tissue mixing in the gastrula. EpCAM is a well known tumor-associated antigen that is specifically expressed in epithelial tissues, where its overexpression often correlates with malignancy. The initial aim of this thesis was to understand the molecular mechanism through which EpCAM promotes ectoderm/mesoderm tissue mixing. Overexpression of EpCAM in cells at the boundary increases their "invasive" behavior via a signaling property of its cytoplasmic domain (EpTAIL) that inhibits PKC signaling to promote cell motility. The most important findings of this thesis are that 1) EpTAIL inhibits PKC activity to promote cell motility and cell-cell adhesion by acting as a PKC pseudosubstrate domain that binds the enzyme on its catalytic site, and 2) this previously unknown mode of PKC inhibition is not specific to EpCAM as other PKC pseudosubstrate-mimicking plasma membrane proteins were identified and could potentially play important roles in the regulation of PKC activity. The data presented in this thesis further our understanding of EpCAM biology and unravel a new mode of PKC regulation that is valuable as PKCs are one of the major families of cytoplasmic kinases in cells. %%%%Les mecanismes de liaison cellulaire sont etablis en partie par une vaste famille de proteines d'adhesion cellulaire ou CAMs. Lors de la morphogenese, les interactions induites par les CAMs creent des forces d'adhesion necessaires afin que les cellules puissent s'agreger et former des tissues. Les adhesions induites par les CAMs dans les cellules en developpement sont tres dynamiques et offrent ainsi la fluidite necessaire aux mouvements cellulaires qui regissent la morphogenese. La gastrulation chez la grenouille Xenopus laevis sert de modele d'etude des mouvements morphogeniques. Durant ce stade de developpement, le mesoderme se deplace vers l'interieur de l'embryon via un mouvement d'involution et migre le long de la paroi interne de l'ectoderme tout en maintenant une separation des deux tissues. Des membres du laboratoire de Dr. Fagotto ont reussi a identifier un orthologue de la proteine «Epithelial Cell Adhesion Molecule (EpCAM) » chez Xenopus dans un tri de gain de fonction permettent d'identifier…
Study on source of classification in imbalanced datasets based on new ensemble classifier

For the issue of classification in imbalanced datasets,this paper presents a new differentiated sampling rate algorithm(DSRA),on this basis,a SVM-Ripper ensemble classifier(SREC) is proposed.SREC employs an unique classifier selection strategy,a novel classifier integration approach and an original classification decision-making method,so that it receives a higher classification accuracy.At the same time,the source of classification in an imbalanced dataset is studied by use of SREC.The simulation results prove that the source of classification in an imbalanced dataset is the aggregation of imbalance between classes,imbalance within a class,sample size as well as the imbalance degree,and only a comprehensive consideration of these factors can better address the issue of classification in imbalanced dataset.
Optimum design of MOS amplifiers

This paper presents a design procedure for MOS amplifiers based on a universal model of the MOSFET, valid from weak to strong inversion. A set of very simple expressions allows quick design by hand as well as an evaluation of the design in terms of power consumption and silicon real estate. It is shown that in most cases there is an optimum bias in moderate inversion for which the attainable DC gain is maximum. The design and measurements on a common-source amplifier illustrate the appropriateness of the proposed methodology.
Change Detection in Multitemporal SAR Images Using MRF Models

This paper proposes an unsupervised change-detection method considering the spatial-contextual information in the SAR log-ratio image.The expectation maximization(EM) algorithm is employed to automatically estimate the statistical parameters associated with changed and unchanged pixels,and the Markov random fields(MRF's) model is applied to characterize the contexture-dependent information.The experiment results show that the proposed method can improve accuracy and reliability of change-detection process.
Developing information technology learners' critical thinking skills : implications for self-directed learning

ii OPSOMMING . v TABLE OF CONTENTS . vii CONTENT . viii LIST OF FIGURES . xiv LIST OF TABLES . xvi LIST OF ACRONYMS AND ABBREVIATIONS . xviii LIST OF ADDENDA . 214
Power Allocation for Hybrid Forward Cooperative Communication

In order to maximize the power consumption,a hybrid cooperative communication power allocation scheme based on outage probability constraint is proposed.The appropriate relaying protocol is performed according to the decoding results of destination and relay node,which combines the merit of amplify-and-forward(AF)and decode-and-forward(DF). The transmitted power of source and relay node are obtained by graphic and numerical analysis under satisfying the outage probability constraint.The simulation results show that the proposed power allocation scheme can achieve about 2.8 dBm less power than the equal power allocation under the same outage probability constraint.
Results of the Ontology Alignment Evaluation Initiative 2014

Ontology matching consists of finding correspondences between semantically related entities of two ontologies. OAEI campaigns aim at comparing ontology matching systems on precisely defined test cases. These test cases can use ontologies of different nature (from simple thesauri to expressive OWL ontologies) and use different modalities, e.g., blind evaluation, open evaluation and consensus. OAEI 2014 offered 7 tracks with 9 test cases followed by 14 participants. Since 2010, the campaign has been using a new evaluation modality which provides more automation to the evaluation. This paper is an overall presentation of the OAEI 2014 campaign.
On-Demand Multicast Routing Protocol with source-based clustering in Ad hoc network

ODMRP protocol is an on-demand multicast routing protocol in Ad hoc network.This paper presents the On-Demand Multicast Routing Protocol(ODMRP) with On-Demand Clustering.SC-ODMRP introduces source based clustering technique to reduce the flooding control overhead and improves the performance of networks.At the same time,SC-ODMRP reserves other key merits of ODMRP such as high performance in conditions with frequently changing topology.Analysis and simulation show that the protocol is characterized with its quick convergence and low maintenance costs of routing,robust and efficient flooding platform over dense,large mobile networks.
Complete Formal Verification of TriCore2 and Other Processors

This paper describes an innovative and powerful methodology for the complete formal verification of modules and intellectual property (IP), and its application to the verification of processor IP. Unlike other formal approaches, the methodology is a self-contained approach to hardware verification, independent of simulation. The methodology eliminates all gaps in the verification plan and in the property set. It thus ensures that the IP is free of functional errors − the highest possible verification quality. Its underlying technology has been field-proven on hundreds of modules and IP, two of which are described, including the TriCore2 processor, Infineon's next generation high-end processor for embedded and safety-critical applications.
Automatic Keyword Extraction Algorithm Research Using BC Method

In this paper, the characteristics and disadvantages of several common automatic keyword extraction methods are introduced firstly. Then based on the ideas of KeyGraph algorithm, a new automatic keyword extraction method is proposed. After analysing and comparisons, the advantages of the new algorithm are revealed: the extracted words can represent more information of the document content, and the low frequent but important terms can also be extracted. Compared with the classic TF and TFIDF algorithms, a satisfying result has been gotten from the experiment and analysis.
OLEIC ACID VESICLES: FORMATION, MECHANISMS OF REACTIVITY, AND USES IN DETERMINATION OF TERPENE ACTIVITY

OF DISSERTATION OLEIC ACID VESICLES: FORMATION, MECHANISMS OF REACTIVITY, AND USES IN DETERMINATION OF TERPENE ACTIVITY This dissertation will focus on the volatile compounds released upon the burning of incense which are numerous and varied. The first part of this dissertation is the gas chromatography-mass spectral (GC-MS) analysis of burning incense collected via solid phase microextraction (SPME) with the aim of developing a library of compounds found in incense as used in the Orthodox church. The second part of this dissertation has the aim of developing a method for forming oleic acid bilayer vesicle membranes and a fluorescence spectroscopy method by which the reactivities of these vesicles can be analyzed. These reactivities include permeability, fluidity, aggregation, and fusion of the membranes. One family of the volatile compounds found in incense are the terpenes and terpenoids. The reactivity of the terpenes and terpenoids found in incense will be analyzed using the oleic acid vesicles with the hypothesis that terpenes of the same structural groups will act similarly on oleic acid vesicle membranes and these reactivities can be related to mechanistic interactions.
Enhancement of Cr(VI) Ion Removal Using Nanochitosan Coated on Bituminous Activated Carbon

Bituminous activated carbon (AC) has been widely used as a sorbent for adsorption of non‐polar species, but its performance for removal of ionic species such as heavy metals has not been as efficient. In this study, AC was modified with chitosan nanoparticles (CN) using facile methods of dip coating and wet impregnation. The CN‐coated AC demonstrated an increase in Cr(VI) removal efficiency in both kinetics and adsorption capacity. The adsorption capacity of the CN‐coated AC (mg/g) was more than twice that of the uncoated AC (36.36 mg/g), or pure chitosan (32.57 mg/g). The sizes of the synthesized CN (160‐2,000 nm) can be controlled by varying the concentration of the chitosan/reagents used. The adsorption isotherms are better described using the Freundlich rather than the Langmuir model and are in agreement with the heterogeneity of the surfaces. Adsorption kinetics followed that of the pseudo‐second‐order kinetics, suggesting chemisorption as a rate limiting step.
Eco-Friendly Microwave Assisted Green Synthesis, Characterization and Antibacterial Activity of Silver Nanoparticles

This paper deals a novel method for the synthesis of silver nanoparticles (AgNPs) by microwave assisted approach using silver nitrate and trisodium citrate. The formation of nanoparticles was confirmed by UV-visible spectral studies. Particle size and morphology was determined by P-XRD and HR-TEM studies which revealed the average particle size of synthesized nanoparticles 21.49 and 20.08 nm respectively with spherical shape. The synthesized nanoparticles were screened for antibacterial activity in vitro against gram-positive bacteria Staphylococcus aureus and Bacillus subtilis and gram-negative bacteria Escherichia coli and Klebsiella pneumoniae by adopting disk diffusion method. The results of antibacterial studies exhibited that AgNPs were potential antibacterial agent.
Context and Ambiguity

Context is expanded widely by I.A. Richards and M.M. Bakhtin respectively from semantics and discourse aspects.So the context of two broader connotations comes into being.The function of context in text is to keep and create the ambiguity of literary meaning.Firstly,text produces a whole restructuring meaning by the interaction among words of context.Secondly,new information from context also offers new way of reading text.Thirdly,because of the multiplicity of context,a discourse shows different meanings from different contexts' perspectives around.
Enhance Algorithm for Fog Images Based on Improved Multi-scale Retinex

When images are shot in fog circumstances,the color and contrast of fog images appear degrade phenomenon.In order to improve the quality of fog image,this paper proposed a fog image enhancement method based on improved multi-scale Retinex algorithm.Firstly,the dynamic range of image was compressed by the power transform,and then nonlinear transform was used to suppress the high light area of image,finallythe unsharp mask filtering was used to eliminate fuzzy to enhance the detail information of fog image,and a few fog images were used to test the performance of the proposed algorithms.The simulation results show that the proposed algorithm solves the shortcomings of traditional Retinex algorithms,accelerates the speed of fog image enhancement,and the fog image is more clearly,so it can obtain better visual effect.
Representational State Transfer (REST) for Feature Configuration in Session Initiation Protocol (SIP)

In order to provide interoperable implementations of certain Session Initiation Protocol (SIP) based features, such as automated call handling, it is necessary for devices to configure network servers with feature data. An example is a call forwarding number for a call forwarding service. This document introduces the concept of Representational State Transfer (REST) and gives an example of how REST can be used for such configuration.
Errors and Uncertainties Analysis of Spatial Data Processing Model

In GIS applications,we always use many models to handle spatial data,which are in general concept,including all the spatial data processing model and mathematic methods.The result of a model is the input data of the other model or is the foundation of spatial data analysis of application,the error and uncertainty in model result is a key problem in GIS applications.The error and uncertainty sources of spatial data processing model include spatial data positional information,spatial attribute information,mapping,spatial analysis,database and model itself.Here we mainly analyzed the definition,uncertainty sources and analysis methods of spatial data processing model.
The Effect of Flaxseed Powder and Oil on Reduction of Hyperglycemia and Associated Parameters in StreptozotocinInduced Diabetic Rats

The aim of this research was to compare the 10% flaxseed powder and 4% flaxseed oil effects on reduction of hyperglycemia and associated parameters streptozotocin (STZ) induced diabetic rats. Diabetes mellitus was induced in Sprague-Dawley rats using streptozotocin. The rats were divided into six groups consisting of 5 rats in each group. C, control; CD, diabetes control; CFP, normal rats feed on diet contain 10% flaxseed powder; CFO, normal rats feed on diet contains 4% flaxseed oil; DFP, diabetic rats feed on diet contain 10% flaxseed powder; DFO, diabetic rats fed on a diet containing 4% flaxseed oil. The highest significant increase (p<0.01) of Total glutathione levels and Superoxide dismutase and Catalase activity were seen in group CFP when compared to CD group. Supplementation with flaxseed powder in the diet was more effective than flaxseed oil in the reduction of blood glucose level of diabetic rats. DFP group showed the lowest significant (P<0.05) decreasing in total cholesterol, Triglycerides and low-density lipoprotein, and the highest significant (P<0.05) increasing in high-density lipoprotein as compared to diabetic CD group. Conclusion: Diabetic rats in a group which were treated with 10% flaxseed powder were able to partly recover from STZ-induced diabetes within eight weeks when compared to DC group.
Contrast enhancement algorithm for night scene images with brightness preservation

The paper presents a new contrast enhancement algorithm for dealing with night scene images in order to obtain scalable brightness preservation.The input image is separated recursively into several sub-images with different gray levels based on their mean,and then each sub-image is equalized respectively within their gray levels.Simulation results show that,with the new algorithm,the dynamic gray level of the night scene image can be fully stretched and controllable brightness preservation can also be achieved by selecting the number of recursive separation.As a result,the output image looks more natural and realistic than that by any other method.
Note Facile synthesis of spiro-fused heterocyles by multicomponent reactions under solvent-free conditions

or Biginelli-like reactions 6-8 have stimulated great interest due to their wide variety of biological activities, such as antiviral, antitumor, antibacterial, antihypertensive, α1a-antagonist and neuropeptide Y(NPY) antagonist and anti-inflammatory properties as well as calcium channel modulating activity 9-14 . In continuation of the studies on multicomponent reactions 15,16 and SnCl2 catalyzed organic transformations 17 , herein is reported a three component cyclocondensation reaction of aromatic aldehydes, Meldrum’s acid and urea/thiourea under solvent-free conditions at 90°C for obtaining interesting spirofused heterocycles (Scheme I).
A Flexible Open-Source ITK Toolbox for Nonrigid Image Registration

In this article, we present the flexible open-source toolbox "VariationalRegistration" for non-parametric variational image registra- tion, realized as a module in the Insight segmentation and registration toolkit. The toolbox is designed to test, evaluate and systematically compare the effects of different building blocks of variational registra- tion approaches, i.e. the distance/similarity measure, the regularization method and the transformation model. In its current state, the frame- work includes implementations of different similarity measures and reg- ularization methods, as well as displacement-based and diffeomorphic transformation models. The implementation of further components is possible and encouraged. The implemented algorithms were applied to different registration problems and extensively tested using publicly ac- cessible image data bases. This paper presents a quantitative evaluation for inter-patient registration using 3D brain MR images of the LONI im- age data base. The results demonstrate that the implemented variational registration scheme is competitive with other state-of-the-art approaches for non-rigid image registration.
Global Data Association for Multiple Pedestrian Tracking

Multi-object tracking is one of the fundamental problems in computer vision. Almost all multi-object tracking systems consist of two main components; detection and data association. In the detection step, object hypotheses are generated in each frame of a sequence. Later, detections that belong to the same target are linked together to form final trajectories. The latter step is called data association. There are several challenges that render this problem difficult, such as occlusion, background clutter and pose changes. This dissertation aims to address these challenges by tackling the data association component of tracking and contributes three novel methods for solving data association. Firstly, this dissertation will present a new framework for multi-target tracking that uses a novel data association technique using the Generalized Maximum Clique Problem (GMCP) formulation. The majority of current methods, such as bipartite matching, incorporate a limited temporal locality of the sequence into the data association problem. This makes these methods inherently prone to ID-switches and difficulties caused by long-term occlusions, a cluttered background and crowded scenes. On the other hand, our approach incorporates both motion and appearance in a global manner. Unlike limited temporal locality methods which incorporate a few frames into the data association problem, this method incorporates the whole temporal span and solves the data association problem for one object at a time. Generalized Minimum Clique Graph (GMCP) is used to solve the optimization problem of our data association method. The proposed method is supported by superior results on several benchmark sequences. GMCP leads us to a more accurate approach to multi-object tracking by considering all the pairwise relationships in a batch of frames; however, it has some limitations. Firstly, it finds target trajectories one-by-one, missing joint optimization. Secondly, for optimization we use a greedy solver, based on local neighborhood search, making our optimization prone to local minimas. Finally GMCP tracker is slow, which is a burden when dealing with time-sensitive applications. In
Approach for Evaluating the Trustworthiness of Service Agent

This paper addresses the service selection issue via a service agent framework coupled with a computational model based on trust ontology.The trust ontology proposed from the socio-cognitive view can offer a more insightful understanding in the trust relationships among service agents.A set of trust computational rules have been given to support the trust analysis and reasoning.Also the structure of the service agents has been given.Finally,a case study is used to illustrate how the service agents infer the trustworthiness of their partners by using the set of trust reasoning and computational rules.
Towards a Quantitative Framework for Evaluating the Expressive Power of Conceptual System Models

Conceptual models describe, explain, and specify the function, concept, structure, and behavior of complex systems. Quantifying the contribution of conceptual models to stakeholder understanding of the systems‐of‐interest has been a great challenge. This difficulty has hindered justifying the use of formal modeling and simulation of complex systems and the adoption of a holistic model‐based systems engineering (MBSE) approach. The informativity of a model is the value of the information it conveys. Conceptual system model informativity is a key performance indicator for MBSE. We introduce MIA – Model Informativity Analysis – a quantitative, utility‐based, prescriptive approach for boosting conceptual models’ expressive power and measuring the value of the information they provide. We define an integrated informativity index, “I3“, which aggregates model scores of diverse informativity‐enhancing factors. We demonstrate various aspects of MIA with Object Process Methodology, OPM – a model‐based systems engineering paradigm and ISO‐19450 standard. OPM caters to quantitative informativity analysis due its formality, comprehensive function‐structure‐behavior modeling, and bimodal equivalent graphical‐textual representation.