Miracle-dz/UniFAR-FTUs huggingface dataset:
An alternative distributed control using Labview

The distributed process control is done through Distributed control system (DCS). DCS is a computerized control employed in the industry to monitor and control the production line. These industries include Petrochemical industries, Fertilizers manufacturing industries, oil industries, where it requires continuous monitoring and controlling. DCS is one among the Industrial Control System Technique(ICS), the other ICS techniques includes supervisory control and data acquisition (SCADA) system, distributed control system (DCS) and programmable logic controllers (PLC). The aim of the proposed project is to analyze process of Reverse osmosis plant DCS using LabVIEW. The leading companies in DCS business today are Honeywell, Rockwell, Yokogawa and Siemens. The proposed approach is the distributed control for an industrial plant using LabVIEW. The mode of operation employed in the designed VI includes AUTO MODE and MANUAL MODE. Auto mode are not user interfaced and the process takes place automatically with the assigned Manual operation. In addition to that the other two proposed approach involves the creation of Database management and Alarm management.
Molecular determinants of the DprA−RecA interaction for nucleation on ssDNA

Natural transformation is a major mechanism of horizontal gene transfer in bacteria that depends on DNA recombination. RecA is central to the homologous recombination pathway, catalyzing DNA strand invasion and homology search. DprA was shown to be a key binding partner of RecA acting as a specific mediator for its loading on the incoming exogenous ssDNA. Although the 3D structures of both RecA and DprA have been solved, the mechanisms underlying their cross-talk remained elusive. By combining molecular docking simulations and experimental validation, we identified a region on RecA, buried at its self-assembly interface and involving three basic residues that contact an acidic triad of DprA previously shown to be crucial for the interaction. At the core of these patches, DprAM238 and RecAF230 are involved in the interaction. The other DprA binding regions of RecA could involve the N-terminal α-helix and a DNA-binding region. Our data favor a model of DprA acting as a cap of the RecA filament, involving a DprA−RecA interplay at two levels: their own oligomeric states and their respective interaction with DNA. Our model forms the basis for a mechanistic explanation of how DprA can act as a mediator for the loading of RecA on ssDNA.
Tropomyosin Period 3 Is Essential for Enhancement of Isometric Tension in Thin Filament-Reconstituted Bovine Myocardium

Tropomyosin (Tm) consists of 7 quasiequivalent repeats known as “periods,” and its specific function may be associated with these periods. To test the hypothesis that either period 2 or 3 promotes force generation by inducing a positive allosteric effect on actin, we reconstituted the thin filament with mutant Tm in which either period 2 (Δ2Tm) or period 3 (Δ3Tm) was deleted. We then studied: isometric tension, stiffness, 6 kinetic constants, and the pCa-tension relationship. N-terminal acetylation of Tm did not cause any differences. The isometric tension in Δ2Tm remained unchanged, and was reduced to ∼60% in Δ3Tm. Although the kinetic constants underwent small changes, the occupancy of strongly attached cross-bridges was not much different. The Hill factor (cooperativity) did not differ significantly between Δ2Tm (1.79 ± 0.19) and the control (1.73 ± 0.21), or Δ3Tm (1.35 ± 0.22) and the control. In contrast, pCa50 decreased slightly in Δ2Tm (5.11 ± 0.07), and increased significantly in Δ3Tm (5.57 ± 0.09) compared to the control (5.28 ± 0.04). These results demonstrate that, when ions are present at physiological concentrations in the muscle fiber system, period 3 (but not period 2) is essential for the positive allosteric effect that enhances the interaction between actin and myosin, and increases isometric force of each cross-bridge.
A study of tumour growth based on stoichiometric principles: a continuous model and its discrete analogue

In this paper, we consider a continuous mathematically tractable model and its discrete analogue for the tumour growth. The model formulation is based on stoichiometric principles considering tumour-immune cell interactions in potassium (K +)-limited environment. Our both continuous and discrete models illustrate ‘cancer immunoediting’ as a dynamic process having all three phases namely elimination, equilibrium and escape. The stoichiometric principles introduced into the model allow us to study its dynamics with the variation in the total potassium in the surrounding of the tumour region. It is found that an increase in the total potassium may help the patient fight the disease for a longer period of time. This result seems to be in line with the protective role of the potassium against the risk of pancreatic cancer as has been reported by Bravi et al. [Dietary intake of selected micronutrients and risk of pancreatic cancer: An Italian case-control study, Ann. Oncol. 22 (2011), pp. 202–206].
Multi-agent segmentation for 3D medical images

Many medical image segmentation techniques have been proposed by lots of authors but they are mainly dedicated to particular solutions. There is no generic method for solving the image segmentation problem. The difficulty comes from that two types of noise are presented in medical images: physical noise due to the acquisition system, for example, Optical, X-rays and MRI1, and physiological noise due to the patient status. In this paper, we present a social spiders method which implements a multiagent system with a biological behavior. After a presentation of the principles of this method, we will compare its results on brain MRI images with two other ones: Region Growing and Otsu thresholding methods. The segmentation method based on social spiders appears to be more robust to noise than classical methods on brain MRI images. Drawbacks of this method are also identified and solutions are proposed as a conclusion.
Performance analysis of blind adaptive MIMO receivers

In this paper, we derive a theoretical performance evaluation scheme of Kalman filter based channel tracking and data decoding for multiple-input multiple-output orthogonal frequency division multiplexed (MIMO-OFDM) communication systems that are based on orthogonal space-time block codes. The derivation is approximate, however, it is novel and demonstrated accurate for practical scenarios. Assuming a prior distribution for the initial channel we have derived the instantaneous signal to interference and noise ratio (SINR) for consecutive transmission blocks in the absence of training by exploiting Kalman filtering to track the channel. A theoretical estimation of BER is then derived based on such instantaneous SINR values. The resulting analysis is able to study the effect of different parameters of the system such as the number of antennas, number of sub-carriers, mobile velocity and the assumed channel length on the BER performance of the system. Numerical examples confirm the validity of the theoretical analysis.
Cultural cognition and climate change education in the U.S.: why consensus is not enough

Abstract Integrating climate change into environmental education programs and formal science classrooms can be difficult, as the issue remains controversial and highly politicized among the American public. This study proposes that the same cultural values that shape worldview differences and divide public opinion on anthropogenic climate change will influence if and how science educators support education on the topic. An online survey with quantitative and qualitative measures was distributed among science educators in the southeastern United States to test what, if any, impact cultural cognition has on their opinions about climate change education. The results suggest that respondents’ cultural values have a significant influence on their intentions to support climate change education and preferences for curricula content. The findings also suggest potential avenues for the field of environmental education to develop climate change materials that may help decrease unintentional biases among science educators and more effectively engage their support in teaching its causes and potential solutions regardless of worldview differences.
Mosaic based representations of video sequences and their applications

Recently, there has been a growing interest in the use of mosaic images to represent the information contained in video sequences. The paper systematically investigates how to go beyond thinking of the mosaic simply as a visualization device, but rather as a basis for efficient representation of video sequences. We describe two different types of mosaics called the static and the dynamic mosaic that are suitable for different needs and scenarios. We discuss a series of extensions to these basic mosaics to provide representations at multiple spatial and temporal resolutions and to handle 3D scene information. We describe techniques for the basic elements of the mosaic construction process, namely alignment, integration, and residual analysis. We describe several applications of mosaic representations including video compression, enhancement, enhanced visualization, and other applications in video indexing, search, and manipulation. <<ETX>>
Neuroscience of Internet Pornography Addiction: A Review and Update

Many recognize that several behaviors potentially affecting the reward circuitry in human brains lead to a loss of control and other symptoms of addiction in at least some individuals. Regarding Internet addiction, neuroscientific research supports the assumption that underlying neural processes are similar to substance addiction. The American Psychiatric Association (APA) has recognized one such Internet related behavior, Internet gaming, as a potential addictive disorder warranting further study, in the 2013 revision of their Diagnostic and Statistical Manual. Other Internet related behaviors, e.g., Internet pornography use, were not covered. Within this review, we give a summary of the concepts proposed underlying addiction and give an overview about neuroscientific studies on Internet addiction and Internet gaming disorder. Moreover, we reviewed available neuroscientific literature on Internet pornography addiction and connect the results to the addiction model. The review leads to the conclusion that Internet pornography addiction fits into the addiction framework and shares similar basic mechanisms with substance addiction. Together with studies on Internet addiction and Internet Gaming Disorder we see strong evidence for considering addictive Internet behaviors as behavioral addiction. Future research needs to address whether or not there are specific differences between substance and behavioral addiction.
Performance and Emission Characteristics of Homogeneous Charge Compression Ignition Engine with Different Bio Diesel Fuels

In this paper the emission characteristics and performance of various bio diesel fuels (Tyre pyrolysis oil (TPO), Micro algae oil and Pig animal fat oil) were experimented. A single cylinder, water cooled diesel engine was modified in to homogeneous charge compression ignition engine (HCCI) with adopted port fuel injection (PFI) technique. The effects of air fuel ratio, intake temperature, injection pressure and EGR rate exhaust emissions were explained in a broad manner. The analysis of the exhaust emissions are integrated to oxides of Nitrogen (NOx), Carbon Monoxide (CO), unburned hydro carbons (UHC), smoke and soot. The performance analysis was also included on specific fuel consumption and break thermal efficiency. The basic requirements for HCCI engine is the homogeneous mixture preparation of air and fuel. This mixture formation was done by adopting port fuel injection technique and external devices were also used for bio diesel vaporization and mixture preparation. The combustion processes were measured with different EGR system. The experimental results of different bio diesel fuels with HCCI engine mode were recorded and evaluated. A small increase in CO and HC emissions were observed with increasing bio diesel content due to slow evaporation rate of bio diesel. A significant reduction in NOx emission was also observed with respect to difference in bio diesel blends. Micro algae oil was found more stable compared with other bio diesel fuels due to the property of fuel vaporization and low heat releasing.
Exemplar Queries: Give me an Example of What You Need

Search engines are continuously employing advanced techniques that aim to capture user intentions and provide results that go beyond the data that simply satisfy the query conditions. Examples include the personalized results, related searches, similarity search, popular and relaxed queries. In this work we introduce a novel query paradigm that considers a user query as an example of the data in which the user is interested. We call these queries exemplar queries and claim that they can play an important role in dealing with the information deluge. We provide a formal specification of the semantics of such queries and show that they are fundamentally different from notions like queries by example, approximate and related queries. We provide an implementation of these semantics for graph-based data and present an exact solution with a number of optimizations that improve performance without compromising the quality of the answers. We also provide an approximate solution that prunes the search space and achieves considerably better time-performance with minimal or no impact on effectiveness. We experimentally evaluate the effectiveness and efficiency of these solutions with synthetic and real datasets, and illustrate the usefulness of exemplar queries in practice.
Phonetic normalization of microtext

Microtext normalization is the challenge of discovering the English words corresponding to the unusually-spelled words used in social-media messages and posts. In this paper, we propose a novel method for doing this by rendering both English and microtext words phonetically based on their spelling, and matching similar ones together. We present our algorithm to learn spelling-to-phonetic probabilities and to efficiently search the English language and match words together. Our results demonstrate that our system correctly handles many types of normalization problems.
Performance analysis of incremental relaying based on partial selection in multi-source multi-relay networks

In this paper, we propose an incremental relaying scheme based on partial selection in multi-source multi-relay networks. First, one source node with the best source-destination channel quality out of M available sources is selected. Based on the quality of the received signal, the destination decides whether relaying is needed or not. If the destination provides a negative acknowledgment via feedback, then the best relay according to partial selection among N available relays retransmits the source signal. The destination combines signals received from the best source and the partial best relay using maximal ratio combining (MRC). The destination node uses this scheme to reduce the excessive burden of MRC with all source nodes and relay nodes and minimize the required complexity and signaling overheard. Asymptotic expressions of bite error rate (BER) and outage probability for the system is derived. Numerical and simulation results show that the derived lower bound is tight enough and the performance is proportional to the number of independent relay nodes or source nodes. Furthermore, one can see that the source plays a more important role than the relay and two relay are enough.
Generating Coherent Extracts of Single Documents Using Latent Semantic Analysis

Generating Coherent Extracts of Single Documents Using Latent Semantic Analysis Tristan Miller Master of Science Graduate Department of Computer Science University of Toronto 2003 A major problem with automatically-produced summaries in general, and extracts in particular, is that the output text often lacks textual coherence. Our goal is to improve the textual coherence of automatically produced extracts. We developed and implemented an algorithm which builds an initial extract composed solely of topic sentences, and then recursively fills in the lacunae by providing linking material from the original text between semantically dissimilar sentences. Our summarizer differs in architecture from most others in that it measures semantic similarity with latent semantic analysis (LSA), a factor analysis technique based on the vector-space model of information retrieval. We believed that the deep semantic relations discovered by LSA would assist in the identification and correction of abrupt topic shifts in the summaries. However, our experiments did not show a statistically significant difference in the coherence of summaries produced by our system as compared with a non-LSA version.
A TDD approach to introducing students to embedded programming

Learning embedded programming is a highly demanding exercise. The beginner is bombarded with complexity from the start: embedded production based around a myriad of C++ constructs with low-level elements integrated onto ever more complicated processor architectures. The picture is further compounded by tool support having unfamiliar roles and appearances from previous student experiences. This demanding situation often has the student bewildered; seeking for "a crutch" or the simplest way forward regardless of the overall consequences. To control this potentially chaotic picture, the instructor needs to introduce devices to combat this complexity. We argue that test driven development (TDD) should become the instructor's principal weapon in this fight. Reasons for this belief combined with our, and the students', experiences with this novel approach are discussed.
WIDGET STANDARDISATION THROUGH ABSTRACT INTERACTION OBJECTS

Interaction Objects, Computer Systems, Presentation, Standardisation, System Development, User Interface Design, Visual Performance. Terminal recommendations and rules from most standards generally include references to various interaction objects belonging to different target environments. Since these references are not made explicit, the standard user is responsible to make a pattern matching between rules contents and physical interaction objects. To avoid problems that such a translation induces, a common view on standardised interaction objects is suggested through the use of abstract interaction objects. By this way, recommendations and rules can be expressed independently of target environments without relying on various particularisms. INTRODUCTION Since European directive 90/270/EEC articles (EEC, 1990) are relatively general (Abernethy, 1993), they are often linked to relevant parts of another standard related to human-computer interaction, i.e., ISO 9241 (ISO, 1992). Part 10 of this standard contains different recommendations on dialogue principles to be applied for assessing usable user interfaces (fig. 1). This part subsumes links to other part of the same standard which are related to different interaction styles (e.g., Presentation of Information in Part 12, User Guidance in Part 13, Menu Dialogue in Part 14, Direct Manipulation Dialogues in Part 16, Form Filli ng Dialogues in Part 17). EU-Directive ISO 9241 Part 10 Recommendations
Analysis of Motion-complexity and Robustness for Video Transmission

In this work, we study the problem of end-to-end video transmission over a noisy communication link, and analytically characterize the complexity (of motion search) and robustness metrics for this problem. The presence of channel noise results in an uncertainty at the encoder as to the information available at the decoder, naturally invoking the framework of source coding with side information (distributed source coding) used in our analysis. We address three important aspects. First, we quantify the theoretical performance gains attained with side-information based codecs over prediction-based coders like MPEG under a lossy transmission scenario when there is drift. Secondly, we show that by accurate DFD (displaced frame difference) modeling we can closely approach MPEG's compression performance using side-information video coding principles without resorting to long block-length channel codes. Thirdly, we quantify analytically that the value of accurately estimating DFD statistics diminishes, as the channel gets noisier
Recognition Sequences in the Restriction Endonucleases

The nature of specific protein-nucleic acid interaction between restriction endonucleases (RE) and their recognition sequences (RS) was studied by bioinformatics methods. It was found that the frequency of 5-6 residue long RS-like oligonucleotides is unexpectedly high in the nucleic acid sequence of the corresponding RE (p<0.05 and p<0.001 respectively, n=7). There is an extensive conservation of these RS-like sequences in RE isoschizomers. A review of the seven available crystallographic studies showed that the amino acids coded by codons that are subsets of recognition sequences were often closely located to the RS itself and they were in many cases directly adjacent to the codon-like triplets in the RS. Ten examples of this codon - amino acid co-localization are presented. The distance between the nitrogen and oxygen atoms of the co-localized molecules is short, 3.74+/-0.46 A (mean +/- S. E. ), indicating that an interaction between the nucleic- and amino acids might occur.
SHREC ’ 13 : Retrieval of objects captured with low-cost depth-sensing cameras

The SHREC’13 Retrieval of objects captured with low-cost depth-sensing cameras track is a first attempt at evaluating the effectiveness of 3D shape retrieval algorithms in low fidelity model databases, such as the ones captured with commodity depth cameras. Both target and query set are composed by objects captured with a Kinect camera and the objective is to retrieve the models in the target set who were considered relevant by a human-generated ground truth. Given how widespread such devices are, and how easy it is becoming for an everyday user to capture models in his household, the necessity of algorithms for these new types of 3D models is also increasing. Three groups have participated in the contest, providing rank lists for the set of queries, which is composed of 12 models from the target set.
Smart Phone Based Online Medicine Authentication Using Print-Cam Robust Watermarking

In this paper, we have proposed a print-cam resilient watermarking application for online authentication of a medicine using a smartphone. Print-cam attack induces geometric distortions during the image capturing process. This watermarking application is able to blindly retrieve the information from the image captured using a smartphone camera. Watermark message is first coded as periodic directed pattern, and then embedding is carried out using additive method. At the extraction side, we have introduced corner detection to revert the geometric distortion caused by print-cam process and then the regularities in autocorrelation function of the periodic pattern are utilized. The robustness against distortions from printing and camera lens is ensured using noise reduction, modified JND model, and two-level coding of the message. Experimental results show that the proposed algorithm is robust against print-cam attack and can be used for potential camera based online medicine authentication.