Miracle-dz/UniFAR-FTUs huggingface dataset:
Public Communication of Technological Change: Modest and Less Modest Witnesses

When journalists popularize a highly topical new technology, such as the Internet, they situate their popularization within technological expectations; when researchers popularize it, they situate their popularization within both a retrospective and prospective understanding of technological change. Following this, journalists are inclined to appeal to emotionally involved users or pioneers, and researchers are inclined to appeal to responsible citizens. Hence, journalists immodestly dramatize the future by boosting a new technology or turning its risks into threats, while researchers acting as “modest witnesses” pour oil in troubled waters, indicating skepticism about the journalistic approach. Consequently, the technology popularization field is structured in two dimensions: from public appreciation of technology via public engagement to critical understanding of technology in public, and from expectation-based argumentation to research-based argumentation.
Modeling and Evaluation of Control Flow Vulnerability in the Embedded System

Faults in control flow-changing instructions are critical for correct execution because the faults could change the behavior of programs very differently from what they are expected to show. The conventional techniques to deal with control flow vulnerability typically add extra instructions to detect control flow-related faults, which increase both static and dynamic instructions, consequently, execution time and energy consumption. In contrast, we make our own control flow vulnerability model to evaluate the effects of different compiler optimizations. We find that different programs show very different degrees of control flow vulnerabilities and some compiler optimizations have high correlation to control flow vulnerability. The results observed in this work can be used to generate more resilient code against control flow-related faults.
Text Based Approach For Indexing And Retrieval Of Image And Video: A Review

Text data present in multimedia contain useful information for automatic annotation, indexing. Extracted information used for recognition of the overlay or scene text from a given video or image. The Extracted text can be used for retrieving the videos and images. In this paper, firstly, we are discussed the different techniques for text extraction from images and videos. Secondly, we are reviewed the techniques for indexing and retrieval of image and videos by using extracted text.
Developing an Ontology-Based Representation Framework for Establishing Cost Analysis Knowledge Base for Construction Work Items

Successful implementation of construction projects depends on accurate cost estimation. Cost analysis of construction work items is essential to a cost estimating process for contractors. However, current cost analysis tasks cannot be implemented effectively in practices. Therefore, this study proposes an ontology-based representation framework that aims to address such practical problems. The framework can be used to establish a cost analysis knowledge base which can benefit the modeling and application of cost analysis knowledge and hence, improve the accuracy of cost analysis and estimation. This framework is developed by using the ontological modeling technique with which key cost items of cost analysis and relationships among these cost items can be modeled and subsequently be examined. Actual cost analysis information of eight cases were collected and used to demonstrate and validate the framework. The case study results show that the proposed representation framework can effectively model and store cost analysis knowledge from both historical data as well as current professional work. Furthermore, the modeled cost analysis knowledge can be reused in new cost analysis tasks, and the accuracy and efficiency of cost analysis and estimates can be improved by eliminating the possibility of leaving out necessary cost breakdown items. Future research is suggested on improving the framework by developing a reasoning mechanism that can automate cost analysis processes of reusing existing cost analysis knowledge.
Modeling and Preparation of ABS Blend Membrane and Nanoparticles for Separation of CO and CH

2 Abstract: Simulation of gas separation in a flat sheet membrane was investigated theoretically and experimentally in this study. A flat sheet ABS membrane blended with nanoparticles was prepared using cast method. Numerical simulation was performed using computational fluid dynamics (CFD) of mass transfer in the membrane for laminar flow conditions. Physical absorption was considered in the simulations for absorption of CO in pure water. Simulation results were validated with the experimental data obtained from literature for 2 physical absorption of CO in pure water. Simulation results were in good agreement with the experimental data 2 for different values of liquid flow rates. The modeling predictions indicated that the removal of CO increased 2 with increasing liquid velocity in the membrane. Also increasing temperature and gas velocity in the flat sheet membrane have an opposite effect. CFD also represents a design and optimization tool for membrane gas separation processes.
H-Ras regulation of TRAIL death receptor mediated apoptosis

TNF-related apoptosis-inducing ligand (TRAIL) induces apoptosis through the death receptors (DRs) 4 and/or 5 expressed on the cell surface. Multiple clinical trials are underway to evaluate the antitumor activity of recombinant human TRAIL and agonistic antibodies to DR4 or DR5. However, their therapeutic potential is limited by the high frequency of cancer resistance. Here we provide evidence demonstrating the role of H-Ras in TRAIL receptor mediated apoptosis. By analyzing the genome wide mRNA expression data of the NCI60 cancer cell lines, we found that H-Ras expression was consistently upregulated in TRAIL-resistant cell lines. By contrast, no correlation was found between TRAIL sensitivity and K-Ras expression levels or their mutational profiles. Notably, H-Ras upregulation associated with a surface deficiency of TRAIL death receptors. Selective inhibition of H-Ras activity in TRAIL-resistant cells restored the surface expression of both DR4 and DR5 without changing their total protein levels. The resulting cells became highly susceptible to both TRAIL and agonistic DR5 antibody, whereas K-Ras inhibition had little or no effect on TRAIL-induced apoptosis, indicating H-Ras plays a distinct role in the regulation of TRAIL death receptors. Further studies are warranted to determine the therapeutic potential of H-Ras-specific inhibitors in combination with TRAIL receptor agonists.
Data-Gov Wiki : Towards Linked Government Data

The Data-gov Wiki is the delivery site for a project where we investigate the role of linked data in producing, processing and utilizing the government datasets found in data.gov. Towards facilitating the Web developers and users access the public government data transparently, the Data-gov Wiki currently features the following: (i) RDF dump of interlinked US government data (over 2 billion triples covering hundreds of data.gov datasets) with dereferenceable URIs; (ii) a Semantic Wiki based user interface mashing up the catalog data published at data.gov, machine generated statistics at TWC and user contributed data that connects the RDF dump to the open linked data; (iii) a number of visual demos illustrating the practical value the linked data.gov datasets as well as the corresponding technical details, and (iv) web services that publish changes in data.gov datasets (e.g. recently added/updated datasets) via RSS and Twitter. Extensions underway include developing interesting applications and demonstrations that show how semantically linked government data can be used to combine information from the different datasets, how it can be used to combine these datasets with information found elsewhere on the Web, and how we can link US data.gov efforts with the UK linked-data release currently under development.
Delay-distribution based stability analysis of time-delayed port-Hamiltonian systems

In this paper, the problem of stability analysis of time-delayed port-Hamiltonian systems with probabilistic time-varying delay has been considered. The time-delay variation range is divided into two sub-intervals. By considering the probability distribution of the time-varying delay between the two sub-intervals and the knowledge of the delay variation range, a novel linear matrix inequality (LMI) based stability condition is derived by defining a Lyapunov-Krasovskii functional. It is illustrated with the help of a numerical example that as the probability of delay taking a small value increases, the upper delay bound increases.
The Voice of Leadership: Models and Performances of Automatic Analysis in Online Speeches

We introduce the automatic determination of leadership emergence by acoustic and linguistic features in online speeches. Full realism is provided by the varying and challenging acoustic conditions of the presented YouTube corpus of online available speeches labeled by 10 raters and by processing that includes Long Short-Term Memory-based robust voice activity detection (VAD) and automatic speech recognition (ASR) prior to feature extraction. We discuss cluster-preserving scaling of 10 original dimensions for discrete and continuous task modeling, ground truth establishment, and appropriate feature extraction for this novel speaker trait analysis paradigm. In extensive classification and regression runs, different temporal chunkings and optimal late fusion strategies (LFSs) of feature streams are presented. In the result, achievers, charismatic speakers, and teamplayers can be recognized significantly above chance level, reaching up to 72.5 percent accuracy on unseen test data.
Sparse representation based classification by using PCA-SIFT descriptors

Sparse representation based classification (SRC) is an efficient method with high recognition rate in many pattern recognition applications. Unfortunately, the original SRC method generally requires rigid alignment. In this paper, the feature-based SRC method is addressed by using PCA-SIFT descriptors. The presented method is not only efficient for alignment-free, face recognition, but also robust for the image illumination and affine, where the image processing is moved from pixel-domain into the feature-domain, i.e. PCA-SIFT descriptors. Experimental results show the presented method in this paper has higher recognition rate, more robustness, and lower computational complexity than MKD-SRC and SRC in the above scenarios.
Optic Disc Segmentation from Colored Retinal Images Using Vessel Density

The accurate and precise segmentation of optic disc is a critical task in development of Computer Aided Diagnosis systems for analysis of colored fundus images to diagnose retinal diseases. The development of a reliable and efficient optic disc (OD) segmentation technique is a challenging task because of noise, illumination effects, blood vessels and lesions like exudates. In this paper, a novel technique is being presented for efficient and accurate segmentation of OD in the presence of noise and other lesions. This technique is comprised of four main modules, preprocessing, vessel segmentation, bright region extraction, and detection of OD. The system is verified and validated not only on publicly available databases of fundus image databases but also real images acquired locally. The validation of the proposed system was proved with the help of experimental results.
Noise estimation by minima controlled recursive averaging for robust speech enhancement

In this letter, we introduce a minima controlled recursive averaging (MCRA) approach for noise estimation. The noise estimate is given by averaging past spectral power values and using a smoothing parameter that is adjusted by the signal presence probability in subbands. The presence of speech in subbands is determined by the ratio between the local energy of the noisy speech and its minimum within a specified time window. The noise estimate is computationally efficient, robust with respect to the input signal-to-noise ratio (SNR) and type of underlying additive noise, and characterized by the ability to quickly follow abrupt changes in the noise spectrum.
ENHANCED SOFTWARE DEVELOPMENT EFFORT AND COST ESTIMATION USING FUZZY LOGIC MODEL

The development of software has always been characterized by parameters that possess certain level of fuzziness. This requires that some degree of uncertainty be introduced in the models, in order to make the models realistic. Fuzzy logic fares well in this area. Many of the problems of the existing effort estimation models can be solved by incorporating fuzzy logic. Besides, fuzzy logic had been combined with algorithmic, non-algorithmic effort estimation models as well as a combination of them to deal with the inherent uncertainty issues. This paper also described an enhanced fuzzy logic model for the estimation of software development effort. The model (FLECE) possesses similar capabilities as the previous fuzzy logic model. In addition to that, the enhancements done in FLECE improved the empirical accuracy of the previous model in terms of MMRE (Mean Magnitude of Relative Error) and threshold-oriented prediction measure or prediction quality (pred).
Differential modulated OFDM system for HF communications

Signals in HF radio channels are suffered from the effect of delay spread, time-varying interference and additive Gaussian noise. The performances of two differential modulation methods FDDD and TDDD for OFDM system are analyzed in this paper. By analysis and simulations, the relationship of the subcarrier bandwidth and BER is demonstrated, which shows that the selection of optimal subcarrier bandwidth contributes largely to the performance of HF communications.
A Life's Work on Hadamard Matrices, Statistical Designs, Bent Functions and Their Application to Computer and Information Security in Networks and Telecommunications

1 Hadamard matrices in Space Communications One hundred years ago, in 1893, Jacques Hadamard 21] found square matrices of orders 12 and 20, with entries 1, which had all their rows (and columns) orthogonal. These matrices, X = (x ij), satissed the equality of the following inequality jdet Xj 2 n i=1 n X j=1 jx ij j 2 and had maximal determinant. Hadamard actually asked the question of matrices with entries on the unit disc but his name has become associated with the real matrices. Hadamard was not the rst to study these matrices for J.J. Sylvester in 1857 in his seminal paper \Thoughts on inverse orthogonal matrices, simultaneous sign-successions and tessellated pavements in two or more colours with application to Newton's rule, ornamental tile work and the theory of numbers" 55] had found such matrices for all orders which are powers of two. Nevertheless, Hadamard showed matrices with elements 1 and maximal determinant could exist for all orders 1, 2, and 4t and so the Hadamard conjecture \that there exists an Hadamard matrix, or square matrix with every element 1 and all row (column) vectors orthogonal" came from here. The survey by J. Seberry and M. Yamada 51] indicates the progress that has been made in the past 100 years. Hadamard's inequality applies to matrices from the unit circle and matrices with entries 1; i and pairwise orthogonal rows (and columns) are called complex Hadamard matrices (note the scalar product is a:b = P a i b i for complex numbers). These matrices were rst studied by R.J. Turyn 58]. We believe complex Hadamard matrices exist for every order n 0 (mod 2).
Disciplined methods of software specification: a case study

We describe our experience applying tabular mathematical approaches to software specifications. Our purpose is to show alternative approaches to writing tabular specifications and to help practitioners who want to apply such methods by allowing them to pick the best one for their problem. The object for the case study is software used by Dell Products for testing the functionality of the keyboards on notebook computers. Starting from informal documents, we developed a variety of tabular representations of finite state machine specifications and tabular trace specifications. We found that the discipline required by these methods raised issues that had never been considered and resulted in documents that were both more complete and much clearer. The various tabular representations are compared from a user's point of view, i.e., clarity, consistency, unambiguity, completeness, suitability, etc.
Short-term Serial Recall Performance by Good and Poor Readers of Chinese Nianqi Rent and

Chinese second-grade students who had been classified either as "good readers" or as "poor readers" were subjects in a visual serial recall experiment in which the items in the series to be remembered were Chinese characters. Three series types were used: orthographically similar, phonologically similar, and nonsimilar. The same students were subjects in a parallel auditory serial recall experiment in which the items to be remembered were spoken Chinese words, and the series were phonologically similar or nonsimilar. The results of these experiments were broadly parallel to the results of experiments with good and poor readers of English: Good readers performed better than poor readers and, in the visual experiment, were relatively more affected by phonologically similar series than the poor readers. It is concluded that, whether the writing system is alphabetic or nonalphabetic, the phonological mechanism used in short-term recall ofvisually-presented verbal material is the same mechanism that is used for reading. This mechanism is, in fact, the linguistic module that controls speaking and listening. Representations of phonological segmental structure are automatically computed by the module, even though they may have no apparent relevance for a particular linguistic task, such as the reading of Chinese characters.
MOLREP: an Automated Program for Molecular Replacement

MOLREP is an automated program for molecular replacement which utilizes effective new approaches in data processing and rotational and translational searching. These include an automatic choice of all parameters, scaling by Patterson origin peaks and sott resolution cutoff. One of the cornerstones of the program is an original full-symmetry translation function combined with a packing function. Information from the model already placed in the cell is incorporated in both translation and packing functions. A number of tests using experimental data proved the ability of the program to find the correct solution in difficult cases.
Exploring learning culture in Finnish and South Korean classrooms

ABSTRACT The authors aimed to investigate learning culture in classrooms at schools to understand education in Finland and South Korea. For this, Finnish and South Korean university students made observations on classrooms in partner countries and reflected on both education systems based on their own previous experiences (2011–2014). Afterwards, researchers from both countries categorized and thematized the experiences of the participants, and interpreted the main themes to figure out the learning culture in Finland and South Korea. As a result, the learning culture in both countries were characterized into six themes: teacher's autonomy in teaching, authenticity in learning, relationships between teachers and students, learning assessment, student engagement, and student well-being. Noteworthy features of high-performing education were recognized through the observation on the learning culture in both countries.
Radiofrequency Ablation-Assisted Zero-Ischemia Robotic Laparoscopic Partial Nephrectomy: Oncologic and Functional Outcomes in 49 Patients

Introduction and Objectives. Robotic partial nephrectomy with peritumoral radiofrequency ablation (RFA-RPN) is a novel clampless technique. We describe oncologic and functional outcomes in a prospective cohort. Methods. From May, 2007, to December, 2009, 49 consecutive patients with renal masses <7 cm underwent RFA-RPN. During this period, only the RFA-RPN technique was utilized for all cases of partial nephrectomy. Pre- and postoperative data were analyzed and compared to 36 consecutive patients who underwent LPN. Results. In total, 49 tumors were treated in the RFA-RPN group and 36 tumors in the comparison group. Mean operative time was longer in the RFA-RPN group (370 min versus 293 min, p < 0.001). There were no significant differences in mean EBL (231 cc versus 250 cc, p = 0.42), transfusion rate (8.2% versus 11.1%, p = 0.7), or hospital stay (3.9 versus 4.4 days, p = 0.2). Two patients in the RFA-RPN (4.1%) and 1 (2.7%) patient in the comparison group had a positive surgical margin (p = 0.75). 17 (34.7%) patients had a postoperative urine leak in the RFA-RPN group versus 2 (5.6%) patients in the comparison group (p = 0.001). Mean follow-up was 54 months versus 68.4 months in the comparison group. There was no significant difference between the two groups regarding change in GFR (p = 0.67). There were 3 recurrences (6.1%) in the RFA-RPN group and 0 recurrences in the RPN group (p = 0.23). There were 3 deaths (6.1%) in the RFA-RPN group (one cancer specific) and 4 deaths (11.1%) in the RPN group (non-cancer specific) over the follow-up period (p = 0.44). Conclusions. Our data suggests that this technique is associated with a similar degree of renal preservation but higher rates of postoperative urine leak and possibly higher rates of recurrence.
Capacity and Delay-Throughput Tradeoff in ICMNs with Poisson Meeting Process

Intermittently connected mobile networks (ICMNs) serve as an important network model for many critical applications. This paper focuses on a continuous ICMN model where the pair-wise meeting process between network nodes follows a homogeneous and independent Poisson process. This ICMN model is known to serve as good approximations to a class of important ICMNs with mobility models like random waypoint and random direction, so it is widely adopted in the performance study of ICMNs. This paper studies the throughput capacity and delay-throughput tradeoff in the considered ICMNs with Poisson meeting process. For the concerned ICMN, we first derive an exact expression of its throughput capacity based on the pairwise meeting rate therein and analyze the expected end-to-end packet delay under a routing algorithm that can achieve the throughput capacity. We then explore the inherent tradeoff between delay and throughput and establish a necessary condition for such tradeoff that holds under any routing algorithm in the ICMN. To illustrate the applicability of the theoretical results, case studies are further conducted for the random waypoint and random direction mobility models. Finally, simulation and numerical results are provided to verify the efficiency of our theoretical capacity/delay results and to illustrate our findings.
Guiding Grasping with Proprioception and Markov Models

This paper describes the application of a partially observed Markov decision process (POMDP) to guide the control decisions made during the task of grasping objects with a simple compliant grasper in unstructured environments. The decision process relies only on the sensing of angular deflection of the compliant gripper joints - proprioceptive information available on most robot hands and grippers. This information is used to infer the state of contact between the gripper and the object and guide a set of actions to be undertaken in order to lead to a successful grasp. We believe that the performance of the gripper under a POMDP model built from this limited sensory information will serve as a valuable baseline for comparison with more complex sensing modalities, allowing for quantitative analysis of the tradeoffs between commonly available sensory suites.