Miracle-dz/UniFAR-FTUs huggingface dataset:
A Novel Approach for Detecting of Tampering On Images

In Our Society Digital Images Are Powerful And Widely Used In Communication Medium. They Have An Important Impact On Our Lives. In The Recent Years, Due To The Advent Of High Performance Commodity Hardware And Improved Human Computer Interfaces. It Has Become Relatively Easy To Create The Fake Images. In The Modern Days, It Is Easy To Use Image Forgeries That Are Undetectable By The Naked Eye. We Make The Assumption That The Image Is Acquired Using A Color Filter Array, And That Tampering Removes The Artifacts Due To The Demosaicking Algorithm. A New Feature Measuring The Presence Of Demosaicking Artifacts At A Local Level, And On A New Statistical Model Allowing Deriving The Tampering Probability Of Each 2x2 Image Block Without Requiring To Know A Priori The Position Of The Forged Region. Experimental Results On Different Cameras Quipped With Different Demosaicking Algorithms Demonstrate Both The Validity Of The Theoretical Model And The Effectiveness Of Our Scheme.
A VLA search for young protostars embedded in dense cores

Aims.Four dense cores, L1582A, L1689A, B133 and B68, classified as prestellar in terms of the absence of detectable NIR emission, are observed at radio wavelengths to investigate whether they nurture very young protostars. Methods.We perform deep radio continuum observations at 3.6 cm and 6 cm using the VLA. Results.No definite young protostars were discovered in any of the four cores observed. A few radio sources were discovered close to the observed cores, but these are most likely extragalactic sources or YSOs unrelated to the cores observed. In L1582A we discovered a weak radio source near the centre of the core with radio characteristics and offset from the peak of the submillimeter emission similar to that of the newly discovered protostar in the core L1014, indicating a possible protostellar nature for this source. This needs to be confirmed with near- and/or mid-infrared observations (e.g. with Spitzer). Hence based on the current observations we are unable to confirm unequivocally that L1582A is starless. In L1689A a possible 4.5-$\sigma$ radio source was discovered at the centre of the core, but needs to be confirmed with future observations. In B133 a weak radio source, possibly a protostar, was discovered at the edge of the core on a local peak of the core submm emission, but no source was detected at the centre of the core. Thus, B133 is probably starless, but may have a protostar at its edge. In B68 no radio sources were discovered inside or at the edge of the core, and thus B68 is indeed starless. Four more radio sources with spectral indices characteristic of young protostars were discovered outside the cores but within the extended clouds in which these cores reside. Conclusions.We conclude that the number of cores misclassified as prestellar is probably very small and does not significantly alter the estimated lifetime of the prestellar phase.
Factors Affecting the Successful Implementation of Whole-School Curriculum Innovations.

In 1988, two metropolitan and four country schools (two of which were remote) in Australia received federal grants to implement technology education. This paper presents the outcomes of the six schools' attempts to implement curriculum innovations associated with technology education and interprets those outcomes in the context of a school-based curriculum change within a centralized educational system. Data collection, which was conducted in two stages at the end of the 1989 and 1990 school years, included document analysis, surveys of the technology coordinators, and interviews with coordinators, teachers, and students. Characteristics of the innovations in successful schools included thorough documentation of the implementation plan, allocation of a iarge proportion of funds to teacher inservice, and designation of a technology coordinator with adequate time for supervision and communication. Findings also indicate that without effective coordination, adequate time, and a high degree of faculty stability, school-based curriculum innovation is unlikely to succeed. One table is included. (Contains 16 references.) (LMI) Reproductions supplied by EDRS are the best that can be made * from the original document. ***********************************************************************
Caching query-biased snippets for efficient retrieval

Web Search Engines' result pages contain references to the top-k documents relevant for the query submitted by a user. Each document is represented by a title, a snippet and a URL. Snippets, i.e. short sentences showing the portions of the document being relevant to the query, help users to select the most interesting results. The snippet generation process is very expensive, since it may require to access a number of documents for each issued query. We assert that caching, a popular technique used to enhance performance at various levels of any computing systems, can be very effective in this context. We design and experiment several cache organizations, and we introduce the concept of supersnippet, that is the set of sentences in a document that are more likely to answer future queries. We show that supersnippets can be built by exploiting query logs, and that in our experiments a supersnippet cache answers up to 62% of the requests, remarkably outperforming other caching approaches.
Power Control in Gaussian Frequency- Flat Interference Relay Channels via Game Theory

We address the power control problem in Gaussian frequency-flat interference relay channels using a game-theoretic framework. Due to the competitive nature of the multi-user environment, we model the problem as a strategic non-cooperative game and show that this game always has a unique Nash Equilibrium (NE), for any system profile. Two iterative algorithms, based on simultaneous and asynchronous algorithm. We also prove that the proposed algorithm always converges to the unique NE from an arbitrary starting point. We consider here Gaussian interference relay games (GIRGs), where instead of allocating the power budget across a set of sub-channels, each player aims to decide the optimal power control strategy across a set of hops. We show that the GIRG always possesses a unique NE for a two-player version of the game, irrespective of any channel realization or initial system parameters such as power budgets and noise power. We then conclude that the distributed game-theoretic approach exhibits great potential in the context of interference relay. More importantly, the global optimality in terms of the sum information rate is achieved by the NE, when the interference is relatively low.
Determining the strength of the propensities of a blog network

A blog network, composed of blogs and their relations, may exhibit two different propensities characterized by the purpose of use: an information-oriented propensity and a friendship-oriented propensity. Both propensities coexist in a blog network, and the degree of these propensities may play an important role in business and policy decisions of blog-related business. In this paper, we propose an automated method for determining the propensity values of a blog network. First, classification is used to judge the propensity values of the relation between two blogs. Then, by adding up the propensity values of all the relations in the network, one determines the propensity values of the whole network. Through extensive experiments using a large volume of real-world blog data, we demonstrate our method achieves a high level of accuracy in determining the propensity values of a relation. The results also suggest the applicability of our approach for determining the propensity values of a network.
A PIWI homolog is one of the proteins expressed exclusively during macronuclear development in the ciliate Stylonychia lemnae.

In the course of macronuclear differentiation in spirotrichous ciliates massive DNA reorganization processes take place, which include splicing, cutting, rearranging and eliminating specific DNA sequences. In order to identify genes involved in these processes we took advantage of suppression subtractive hybridization. We have identified three transcripts that are exclusively expressed during macronuclear development in the ciliate Stylonychia lemnae. Two of the three differentially expressed mRNAs we have analyzed encode for novel proteins. One gene, mdp1 [macronuclear development protein 1 (MDP1)], encodes a homolog of the PIWI protein family. PIWI proteins are involved in germline differentiation processes and RNA silencing in worms, flies, mice, humans and in plants. Possible functions of the S.lemnae PIWI related protein MDP1 in the regulation of macronuclear development will be discussed.
An Empirical Study on Inexperienced Online Consumer's Window Shopping Behavior in China: A Trust Analysis Model

From the perspective of trust theory, this essay established a model of inexperienced consumers' window shopping behavior in China context. The results indicate that most Chinese inexperienced consumers only do window shopping, at least partly, because they perceived low trust during e-shopping which induce them to stop more involving. The study also proved that uncertainty is negatively related to trust in the process of online shopping. With high trust they would prefer to do window shopping.
Query processing in the SIMS information mediator

A critical problem in building an information mediator is how to translate a domain-level query into an efficient query plan for accessing the required data. We have built a flexible and efficient information mediator, called SIMS. This system takes a domain-level query and dynamically selects the appropriate information sources based on their content and availability, generates a query access plan that specifies the operations and their order for processing the data, and then performs semantic query optimization to minimize the overall execution time. This paper describes these three basic components of the query processing in SIMS.
Physiological Role for Casein Kinase 1 in Glutamatergic Synaptic Transmission

Casein kinase 1 (CK1) is a highly conserved serine/threonine kinase, present in virtually all cell types, in which it phosphorylates a wide variety of substrates. So far, no role has been found for this ubiquitous protein kinase in the physiology of nerve cells. In the present study, we show that CK1 regulates fast synaptic transmission mediated by glutamate, the major excitatory neurotransmitter in the brain. Through the use of CK1 inhibitors, we present evidence that activation of CK1 decreases NMDA receptor activity in the striatum via a mechanism that involves activation by this kinase of protein phosphatase 1 and/or 2A and resultant increased dephosphorylation of NMDA receptors. Indeed, inhibition of CK1 increases NMDA-mediated EPSCs in medium spiny striatal neurons. This effect is associated with an increased phosphorylation of the NR1 and NR2B subunits of the NMDA receptor and is occluded by the phosphatase inhibitor okadaic acid. The mGluR1, but not mGluR5, subclass of metabotropic glutamate receptors uses CK1 to inhibit NMDA-mediated synaptic currents. These results provide the first evidence for a role of CK1 in the regulation of synaptic transmission in the brain.
UCS-WN: An unbiased compressive sensing framework for weighted networks

In this paper, we propose a novel framework called UCS-WN in the context of compressive sensing to efficiently recover sparse vectors representing the properties of the links from weighted networks with n nodes. Motivated by network inference, we study the problem of recovering sparse link vectors with network topological constraints over weighted networks. We take sufficient number of collective additive measurements using this framework through connected paths for constructing a feasible measurement matrix. We theoretically show that only O(k log(n)) path measurements via UCS-WN are sufficient for uniquely recovering any k-sparse link vector with no more than k non-zero elements. Moreover, we demonstrate that this framework would converge to an accurate solution for a wide class of networks by experimental evaluations on both synthetic and real datasets.
A genetic variation of the p38β promoter region is correlated with an increased risk of sporadic colorectal cancer

p38 plays a critical role in the proliferation, survival, migration and metastasis of colorectal cancer (CRC) cells. The present study assessed the correlation between a single nucleotide polymorphism (SNP) in the p38β promoter region (rs2235356, -1628A>G) and the predisposition of individuals to sporadic CRC in a case-control study. A genotyping method was developed to detect this SNP, using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) analysis. A logistic regression analysis was used to determine the odds ratio (OR) and 95% confidence interval (CI). It was revealed that the -1628G variant allele was correlated with an increased risk of CRC (OR, 1.99; 95% CI, 1.60–2.47; P<0.0001). An in silico analysis revealed several transcription factors that either acquired or lost the ability to bind to -1628AA in the p38β promoter region due to the SNP. Therefore, this allelic variant may be a genetic modifier for CRC susceptibility.
Propagation model alternatives for outdoor Wireless Sensor Networks

Modeling propagation in Wireless Sensor Networks (WSNs) is a vital issue in system design and analysis. Energy efficiency, routing performance, Quality-of-Service, coverage and almost all aspects of WSNs are inherently related with the employed propagation model. Yet, in WSN research, even after more than a decade long continuing and widening research history, very simplistic and impractical propagation models are still utilized. In this paper, we briefly provide the necessary background on propagation modeling and concisely overview experimentally verified propagation models for WSNs.
Development of embroidery machine vector control speed regulation system based on DSP

Based on the rotor field oriented control principle and space vector PWM technology, a vector control speed regulation algorithm applied to embroidery machines is developed based on DSP. Combined with the theoretical analysis, a kind of Anti-Windup PI controller is adopted based on output feedback calculations, and a discrete simulation model of the vector control speed regulation system is built on Matlab/Simulink platform. After the completion of the system hardware design, the entire control system software design and programming are completed based on the TMS320F2801 fixed-point DSP. Results of simulation and experiments show that the designed system meets the needs of a practical application in spindle actuator of the embroidery machine.
SOFT FOOD ROBOTIC PICK AND PLACE OPERATION WITH EMBEDDED CONTROL STRUCTURE

Robotic pick-and-place operation is planned for handling hard objects with on-off control gripper. It does not have force monitoring capability for safe grasping soft objects. Current force/torque sensor is too expensive and difficult to implement. Here, a low cost embedded control structure is designed with distributed FPGA robotic position control and gripper Arduino force control kernels. A model-free intelligent fuzzy sliding mode control strategy is employed to design the position controller of each robotic joint and gripper force controller. Experimental results show that the position and force tracking control errors of this robotic system are less than 1 mm and 0.1 N, respectively for pick-and-place different soft foods.
Predicting the brain response to treatment using a Bayesian hierarchical model with application to a study of schizophrenia

In vivo functional neuroimaging, including functional magnetic resonance imaging (fMRI) and positron emission tomography (PET), is becoming increasingly important in defining the pathophysiology of psychiatric disorders such as schizophrenia, major depression, and Alzheimer's disease. Furthermore, recent studies have begun to investigate the possibility of using functional neuroimaging to guide treatment selection for individual patients. By studying the changes between a patient's pre‐ and post‐treatment brain activity, investigators are gaining insights into the impact of treatment on behavior‐related neural processing traits associated with particular psychiatric disorders. Furthermore, these studies may shed light on the neural basis of response and nonresponse to specific treatments. The practical limitation of such studies is that the post‐treatment scans offer little guidance to treatment selection in clinical settings, since treatment decisions precede the availability of post‐treatment brain scans. This shortcoming represents the impetus for developing statistical methodology that would provide clinicians with predictive information concerning the effect of treatment on brain activity and, ultimately, symptom‐related behaviors. We present a prediction algorithm that uses a patient's pretreatment scans, coupled with relevant patient characteristics, to forecast the patient's brain activity following a specified treatment regimen. We derive our predictive method from a Bayesian hierarchical model constructed on the pre‐ and post‐treatment scans of designated training data. We perform estimation using the expectation–maximization algorithm. We evaluate the accuracy of our proposed prediction method using K‐fold cross‐validation, quantifying the error using two new measures that we propose for neuroimaging data. The proposed method is applicable to both PET and fMRI studies. We illustrate its use with a PET study of working memory in patients with schizophrenia and an fMRI data example is also provided. Hum Brain Mapp 29:1092–1109, 2007. © 2007 Wiley‐Liss, Inc.
Risk of diarrhea in a long-term cohort of renal transplant patients given mycophenolate mofetil : the significant role of the UGT 1 A 8 * 2 variant allele

*These authors contributed equally to this work. Correspondence should be addressed to P. Marquet, INSERM U850, 2 rue du Dr Marcland, 87025 Limoges, France Tel: +33555435895; fax: +33555435936 e-mail: pierre.marquet@unilim.fr Running head: Pharmacogenetics of mycophenolate-induced diarrhea
Dynamics and motion control of a two pendulums driven spherical robot

This paper deals with the dynamics and motion control of a spherical robot designed for reconnaissance and unstructured hostile environment exploration. The robot in this paper has three DOFs and two inputs, of which the nature is a nonlinear and underactuated system with nonholonomic dynamic constraints. The improved construction of two pendulums offers novel motion principle of spherical robot, which is moving simultaneously actuated by both eccentric moment and inertial moment generated by the two pendulums. Meanwhile the mobility is enhanced when the robot behaves dynamically. The emphasis is placed on the linear motion and turning in place motion control. The dynamic model of linear motion is formulated on the basis of Lagrange equation, and a smooth trajectory planning method is proposed for linear motion. A feedback controller is constructed to ensure the accurate trajectory planning. Turning in place motion is an indispensable element of omni directional locomotion which can enhance the mobility of spherical robots. The dynamic model of turning in place motion is derived on the theory of moment of momentum, and a stick-slip principle is analyzed. The two motion control methods are validated by both simulations and prototype experiments.
Incorporating user motion information for indoor smartphone positioning in sparse Wi-Fi environments

Indoor localization using mobile devices such as smartphones remains a challenging problem as GPS (Global Positioning System) does not work inside buildings and the accuracy of other localization techniques typically comes at the expense of additional infrastructure or cumbersome war-driving. For such environments, we propose a localization scheme which uses motion information from the smartphone's accelerometer, magnetometer, and gyroscope sensors to detect steps and estimate direction changes. At the same time, we use a Wi-Fi based fingerprinting technique for independent position estimation. These measurements along with an internal representation of the environment are combined using a Bayesian filter. This system will allow us to reduce the amount of training required and work in sparse Wi-Fi environments. We test our approach in two real-world environments to show the benefits of incorporating user motion for indoor localization.
M-PSK Signal wavelet-domain denoising method study

Based on the traditional wavelet threshold denoising algorithm, a new threshold function is put forward, overcoming the discontinuous function of the hard threshold and solving the problem of the permanent bias in soft-threshold function. Simulation result indicates that the new threshold function is more effective and predominant than traditional wavelet threshold functions in M-PSK signal wavelet-domain denoising process.
Chapter 3 . 1 Radiation dose of the novel Pgp tracer [ 11 C ] laniquidar

Resistance to current drug therapy is an important issue in the treatment of epilepsy. Inadequate access of central nervous system drugs to their targets in the brain may be caused by overexpression or overactivity of multidrug transporters, such as P-glycoprotein (P-gp), at the blood-brain barrier. Laniquidar, an inhibitor of P-gp, has been labeled with carbon-11 for the use in PET studies of P-gp expression in humans. Given potential interspecies diff erences in biodistribution, the purpose of this study was to ensure safe use of [C]laniquidar by determining the dosimetry of [C]laniquidar using whole body positron emission tomography (PET) studies.
Mirror symmetry for topological sigma models with generalized Kahler geometry

We consider topological sigma models with generalized Kahler target spaces. The mirror map is constructed explicitly for a special class of target spaces and the topological A and B model are shown to be mirror pairs in the sense that the observables, the instantons and the anomalies are mapped to each other. We also apply the construction to open topological models and show that A branes are mapped to B branes. Furthermore, we demonstrate a relation between the field strength on the brane and a two-vector on the mirror manifold.
Speed-up estimation for HW/SW-systems

HW/SW-codesign has been applied to a wide range of applications. Several partitioning methods have been suggested. Thus the designer selects modules for HW or SW-implementation for the best possible performance within a set of performance and design constraints. This paper describes an estimation method to approximate a priori the entire system performance. The estimation method has been integrated into the codesign tool COD and first results could be generated. The estimated speed-up has been determined for a ciphering algorithm and has been compared to the speed-up of the entire HW/SW-system. The estimation speed-up matches the final speedup.