Miracle-dz/UniFAR-FTUs huggingface dataset:
Task Specific Image Partitioning for Region Based Image Retrieval

Image partitioning is an important pre-processing Step for many of the state-of-the-art algorithms used for performing high-level computer vision tasks. Typically, partitioning is conducted without regard to the task in hand. Task-specific image partitioning framework to produce a region-based image representation that will lead to a higher task performance than that reached using any task-oblivious partitioning framework and existing supervised partitioning framework, albeit few in number. This method partitions the image by means of correlation clustering, maximizing a linear discriminant function defined over a superpixel graph. The parameters of the discriminant function that define task specific similarity/dissimilarity among superpixels are estimated based on structured support vector machine (S-SVM) using task specific training data. Region based image retrieval is used to retrieve similar images from a database of images, where the images in database are partitioned by using the same partitioning method. Similar images are finding by region wise similarity.
The New Strategy of Object-Based Directional Query

To increase directional query efficiency, based on the study of existing algorithms of directional query, new pruning rules for directional query were given, combined with the new index structure MB-tree. The rules exclude the MBRs outside the query area and output all leaf nodes in the MBRs inside the query area. Based on the orders defined in MB-tree, a new algorithm of directional query is given combining with MB-tree by using recursive method, and the new algorithm can reduce I/O cost effectively. Experiment showed that the new directional query algorithm reduces the number of visited nodes, decreases I/O cost, and improves the efficiency of directional query.
AUTHORIZING STOCKPILE ATTACKS ON ANDROID

Android is a software platform and Operating System for mobile devices, based on the Unix kernel, developed by Google and later the Open Handset Alliance. It allows developers to write managed code in Java language. Android is a modern and popular software platform for smart-phones. Among its predominant features is an advanced security model which is based on application-oriented mandatory access control and sandboxing. [1] This allows developers and users to restrict the execution of an application to the privileges it has (mandatorily) assigned at installation time. The exploitation of vulnerabilities in program code is hence believed to be confined within the privilege boundaries of an application's sandbox. [2] However, in this paper we show that a Authorizing Stockpile attack is possible. We show that a genuine application exploited at runtime or a malicious application can escalate granted permissions. Our results immediately imply that Android's security model cannot deal with a transitive permission usage attack.
From Large-Scale Object Classifiers to Large-Scale Object Detectors: An Adaptation Approach

A major challenge in scaling object detection is the difficulty of obtaining labeled images for large numbers of categories. Recently, deep convolutional neural networks (CNN) have emerged as clear winners on object classification benchmarks, in part due to training with 1.2M+ labeled classification images. Unfortunately, only a small fraction of those labels are available for the detection task. It is much cheaper and easier to collect large quantities of image-level labels from search engines than it is to collect detection data and label it with precise bounding boxes. In this paper, we propose a Deep Detection Adaptation (DDA) algorithm which learns the difference between the two tasks and transfers this knowledge to classifiers for categories without bounding box annotated data, turning them into detectors. Our method has the potential to enable detection for the tens of thousands of categories that lack bounding box annotations, yet have plenty of classification data. Evaluation on the ImageNet LSVRC-2013 detection challenge demonstrates the efficacy of our approach.
A preliminary evaluation of the use of graphic novels in teaching information systems

As a result of declining student numbers, and poor satisfaction ratings, an introductory information systems unit was completely redeveloped. A number of innovative initiatives were designed and implemented and the unit has seen a significant improvement in student satisfaction rates. This paper describes the development of a series of graphic novels as a strategy to both increase student engagement with the unit content and enhance the attainment of learning outcomes. It also discusses how the graphic novels were used in lectures, workshops, and competitions to increase student engagement (with varying degrees of success). Students have generally found the graphic novels to be a valuable learning resource. There is a paucity of studies on the impact of graphic novels as a teaching tool, particularly within the context of higher education, and this research is a contribution to this evident gap in the literature.
A Network Controller Interface for a Time-Triggered Protocol

A time triggered communication protocol that derives its control information e g when to send a message from the progression of time o ers unique features that meet the stringent demands of automotive class C con trol applications The interface to a dedicated network controller executing such a protocol can be viewed as a system wide interface and is thus a perfect starting point for the system s decomposition into autonomous non interfering subsystems This paper presents such a network controller interface that allows applications to transparently access the services of the underlying communication protocol The interface is designed as a data sharing interface i e the ow of control informa tion across the interface is restricted to the necessary minimum With this the chance of control error prop agation is reduced considerably The interface acts as a temporal rewall facilitating independent subsystem development and validation
A 10-bit, 3V, 100M§/s Pipelined ADC

The design of a low-power 10-bit, 100MS/s ADC is presented. The ADC is based on a pipelined architecture in which the number of bits converted per stage and the stage sizes were optimized to simultaneously achieve the desired linearity while minimizing the total power. When operated at 100MS/s with a 3V supply the ADC core dissipates 105mW. The ADC was fabricated in a 0.35um double poly CMOS process.
Potential Paths for the Hydrogen-Bond Relaxing With (H2O)N Cluster Size.

Relaxation of the inter- and intra-molecular interactions for the hydrogen bond (O:H-O) between undercoordinated molecules determines the unusual behavior of water nanodroplets and nanobubbles. However, probing such potentials remains unreality. Here we show that the Lagrangian solution [Huang et al., J. Phys. Chem. B, 2013. 117: 13639] transforms the observed H-O bond (x = H) and O:H nonbond (x = L) lengths and phonon frequencies (dx, x) [Sun et al., J. Phys. Chem. Lett. , 2013. 4: 2565] into the respective force constants and bond energies (kx, Ex) and hence enables the mapping of the potential paths for the O:H-O bond relaxing with water cluster size. Results show that molecular undercoordination not only reduces the molecular size (dH) with enhanced H-O energy from the bulk value of 3.97 to 5.10 eV for a H2O monomer, but also enlarges the molecular separation (dL) with reduced O:H energy from 95 to 35 meV for a dimer. The H-O energy gain raises the melting point from bulk value 273 to 310 K for the skin and the O:H energy loss lowers the freezing temperature from bulk value 258 to 202 K for 1.4 nm sized droplet, by dispersing the quasisolid phase boundaries.
Artificial Education: Expert systems used to assist and support 21st century education.

This paper offers a new concept called in education called Artificial Education. Though the term artificial education might disturb many educators, parents and students, it is important to understand what it is and the potential it has for the educational success of all learners. Artificial education refers to using artificially intelligent systems, also known as expert systems, to educate students and teachers. This is a short introductory article on what artificial education refers to, and how intelligent or expert systems can assist students and teachers at the elementary level.
Can we trust the guidelines? Comparison between the data presented and the recommendations of the International Antiviral Society-USA Panel.

INTRODUCTION Clinicians often do not have the time and possibilities to read all scientific evidence necessary to maintain high quality patient care. They rely on guidelines made by experts to help them in their daily work. METHODS We compared the 2012 recommendations and the arguments of the IAS-USA Panel with the data referenced and presented with the original data of the studies. Special topic was the timing of antiretroviral therapy. Only studies included in the guideline text were analyzed. RESULTS There is a large discrepancy between the data and the recommendations concerning early antiviral therapy. The studies are either not designed to answer this question or the data is not sufficient to support the arguments. The authors highlight benefits without mention of side effects or other problems. Neither in transmission rates, nor mortality, AIDS events, co-morbidities (hepatitis B and C excluded) or decreasing the risk of malignancy, the data presented support early therapy. CONCLUSIONS A large discrepancy between the underlining data and the recommendation made by the IAS-USA Panel exists concerning early antiviral therapy.
Desulfovibrio magneticus RS-1 contains an iron- and phosphorus-rich organelle distinct from its bullet-shaped magnetosomes

Intracellular magnetite crystal formation by magnetotactic bacteria has emerged as a powerful model for investigating the cellular and molecular mechanisms of biomineralization, a process common to all branches of life. Although magnetotactic bacteria are phylogenetically diverse and their crystals morphologically diverse, studies to date have focused on a few, closely related species with similar crystal habits. Here, we investigate the process of magnetite biomineralization in Desulfovibrio magneticus sp. RS-1, the only reported species of cultured magnetotactic bacteria that is outside of the α-Proteobacteria and that forms bullet-shaped crystals. Using a variety of high-resolution imaging and analytical tools, we show that RS-1 cells form amorphous, noncrystalline granules containing iron and phosphorus before forming magnetite crystals. Using NanoSIMS (dynamic secondary ion mass spectroscopy), we show that the iron-phosphorus granules and the magnetite crystals are likely formed through separate cellular processes. Analysis of the cellular ultrastructure of RS-1 using cryo-ultramicrotomy, cryo-electron tomography, and tomography of ultrathin sections reveals that the magnetite crystals are not surrounded by membranes but that the iron-phosphorus granules are surrounded by membranous compartments. The varied cellular paths for the formation of these two minerals lead us to suggest that the iron-phosphorus granules constitute a distinct bacterial organelle.
A Comparison of Sixth Grade Students’ Reading Comprehension on Two Different Digital Formats

Digital native students, as opposed to digital immigrants, do more reading on digital environments than on printed environments. The aim of this study was to learn whether reading comprehension, the key factor for learning, would be affected by this change of environment, and whether appropriate text formats for digital natives would give desired results. This study examined whether the reading comprehension levels of sixth graders who read various kinds of academic texts differed based on the text format. 113 students participated in the study whose reading comprehension skills were determined by IOWA test. Four texts in three different disciplines were prepared for the study. A part of the students read the texts on a linear design while the others on a multimedia design. The results demonstrated that for all text types, the main factor on students’ reading comprehension levels was not the type of environment but their reading comprehension skills.
Visualization of Text's Polysingularity Using Network Analysis

In this research we propose a method for visualizing text’s polysingularity: the multiple clusters of meaning circulation contained within a text. These clusters can be described as “strange attractors” (to use the term from dynamical systems theory), which are actualized during the process of reading. We use network analysis in order to plot the text’s structure onto a two-dimensional plane and represent these strange attractors as the communities of co-occurring nodes, positioned within the graph depending on their influence for the production of meaning. Such visual representation can then be used to identify the most influential topics within the text, provide quick summaries, enhance text comprehension (aiding the retainment of previous information according to the Landscape model of reading), create interfaces for inter-textual navigation, produce individual or group “mental maps”, and perform comparative analysis of texts. Our method can also improve the existing graphical methods for identifying topical structure (pLSA and DLA) in that it takes into account the overall structure of text for analysis and also brings in the tools and approaches used in network and graph analysis to further enhance qualitative and quantitive evaluation of textual data.
Player Modeling: What is it? How to do it?

Player Modeling is currently a very relevant topic in game AI research. This tutorial presents the main topics related to the field, intending to be a summary and a guide of some of the most relevant works on this subject. This text starts discussing the importance of Player Modeling and its applicability. We then define and present a taxonomy of the field and discuss several application examples and common techniques used in the area. Since we intend to help a new researcher in the field to start its own work, we also list several game platforms that are suitable for experimentation and present a simple example that discusses important research topics.
Review: Functional dyspepsia

Dyspepsia is a common term used for a heterogeneous group of abdominal symptoms. Functional dyspepsia (FD) is the focus of this review. The 2006 Rome III criteria defined FD and its subgroups, postprandial distress syndrome (PDS) and epigastric pain syndrome (EPS). FD is a very common condition with a high prevalence throughout the world, adversely affecting the quality of life of patients. The pathophysiology of FD has been under investigation during the past two decades. Multiple mechanisms such as abnormal gastric emptying, visceral hypersensitivity, impaired gastric accommodation, and central nervous system factors are likely involved. Several tests are available for the assessment of various physiologic functions possibly involved in the pathogenesis of FD, and some of these could be used in clinical practice, helping to understand the abnormalities underlining patients’ complaints. Currently, the possibilities of pharmacological therapy for FD are still limited, however, experience of using prokinetics, tricyclic antidepressants, selective serotonin-reuptake inhibitors (SSRIs), proton-pump inhibitors (PPIs), and several alternative techniques has been accumulated. The different combinations of alterations in physiologic gastrointestinal and central nervous system functions result in the very heterogeneous nature of FD so combined approaches to these patients could be beneficial in challenging cases.
Functional Characterization of the Promiscuous Prenyltransferase Responsible for Furaquinocin Biosynthesis

Furaquinocin is a natural polyketide-isoprenoid hybrid (meroterpenoid) that exhibits antitumor activity and is produced by the Streptomyces sp. strain KO-3988. Bioinformatic analysis of furaquinocin biosynthesis has identified Fur7 as a possible prenyltransferase that attaches a geranyl group to an unidentified polyketide scaffold. Here, we report the identification of a physiological polyketide substrate for Fur7, as well as its reaction product and the biochemical characterization of Fur7. A Streptomyces albus transformant (S. albus/pWHM-Fur2_del7) harboring the furaquinocin biosynthetic gene cluster lacking the fur7 gene did not produce furaquinocin but synthesized the novel intermediate 2-methoxy-3-methyl-flaviolin. After expression and purification from Escherichia coli, the recombinant Fur7 enzyme catalyzed the transfer of a geranyl group to 2-methoxy-3-methyl-flaviolin to yield 6-prenyl-2-methoxy-3-methyl-flaviolin and 7-O-geranyl-2-methoxy-3-methyl-flaviolin in a 10:1 ratio. The reaction proceeded independently of divalent cations. When 6-prenyl-2-methoxy-3-methyl-flaviolin was added to the culture medium of S. albus/pWHM-Fur2_del7, furaquinocin production was restored. The promiscuous substrate specificity of Fur7 was demonstrated with respect to prenyl acceptor substrates and prenyl donor substrates. The steady-state kinetic constants of Fur7 with each prenyl acceptor substrate were also calculated.
Tutorial on Compressive Sampling

Summary This is a brief tutorial on compressive sampling, a recently developed technology originating with mathematicians Candes (Caltech), Tao (UCLA), and others. This method greatly reduces the number of digital samples required to reconstruct certain important physical signals. The key ideas of this technology are presented here, along with some indications of possible applications to geophysical problems.
Designing a labeling application for image object detection

We seek to build a large collection of images with ground truth labels to be used for training object detection and recognition algorithms. Such data is useful for supervised learning and quantitative evaluation. To achieve this, we developed a user interface tool that allows easy image annotation. The tool provides functionalities such as drawing boxes, querying images, and browsing the database. Using this annotation tool, we can collect a large dataset that spans many object categories, often containing multiple instances over a wide variety of images. We quantify the contents of an existing dataset and compare against other state of the art datasets used for object recognition and detection. Also, we show how to extend our dataset to automatically enhance object labels with WordNet, discover object parts, and increase the number of labels using minimal user supervision
Cancer vaccines

For nearly two decades there has been an abundance of research and clinical development programs underway to develop active specific immunotherapies, to educate the patient’s immune response, specifically the T-cell immunity and memory, to recognize and destroy tumor cells by cell-mediated cellular toxicity. While many of these technology platforms achieved promising results in preclinical and clinical phase I and II clinical trials, essentially all but one have failed to achieve FDA market approval as a therapeutic drug product.
Maladie de Takayasu et polyarthrite rhumatoïde: une association rare - à propos d'une observation

L'artérite de Takayasu ou maladie de Takayasu (MT) et la polyarthrite rhumatoïde (PR) et sont deux maladies inflammatoires chroniques et leur association a été rapportée dans la littérature à travers quelques observations de cas sporadiques. Nous rapportons une nouvelle observation d'une telle association. Une patiente âgée de 44 ans, diagnostiquée avec une polyarthrite rhumatoïde à facteur rhumatoïde positif, qui a développé des céphalées avec des vertiges de caractère permanent. L'examen révélait un pouls radial et huméral abolis à droite, un souffle carotidien bilatéral et une tension artérielle imprenable à droite. L'artériographie a confirmé la présence d'une atteinte de l'arc aortique type MT. Le diagnostic d'une maladie de Takayasu associée à une polyarthrite rhumatoïde était retenu. La patiente était traitée par une corticothérapie (prednisone à la dose de 0,5 mg/kg par jour) et un traitement de fond par Méthotrexate avec une bonne réponse initiale. A travers notre observation et une revue de la littérature, les caractéristiques épidémiologiques, étiopathogéniques, cliniques, thérapeutiques et évolutives de cette association seront discutées.
Courseware design and development program : providing professional development and project experience.

The Courseware Design and Development Program enables academics to participate in a program that integrates a major curriculum development project along with professional development. In its short history, the Courseware Design and Development Program has demonstrated itself to be a sustainable model. It is a model that fulfils a role of encouraging innovation in teaching and learning using technology. The integration of professional development and project development seems to appeal to otherwise busy academics as there are concrete goals and positive outcomes.
Communicating Briefly

People and organizations often communicate through technologies that restrict their communication to very few characters: a difficult task when the content is highly technical and specialized. This study relies on the theoretical work of informative and explanatory communication, and it expands the utility of this theory into new communication technology environments where brevity is valued and practically forced on the user. We content analyzed 1,367 Twitter messages spanning a 6-month time following a highly technical and controversial organizational event. The analyses reveal that even though Twitter is limited to 140 alphanumeric characters, almost one third of all messages contained some type of technical details. The technical translation strategies—direct, elucidating, or quasi-scientific—used in the microblog were either self-contained or briefly introduced with expanded details available by accessing hyperlinks. Furthermore, the specific types of technical translation strategies that this organization used changed over time.
Architecture for an On-line and Just-in-time Decision-support for General Practice

In this paper we introduce an online clinical decision-support system for health professionals. The paper focuses on the software architecture and how it addresses the challenges of integrating information from heterogeneous data sources. We describe the major components of the system and the rationale behind them. The system has been evaluated in a clinical setting and we give a brief discussion of the outcomes.