Miracle-dz/UniFAR-FTUs huggingface dataset:
Sub-Population Artificial Immune System for Multi-objective Flowshop Scheduling Problems

This research presents a Sub-Population Artificial Immune System (SPAIS) approach to solve the Multi-Objective Flowshop Scheduling Problems (MOFSP). We divide the populations in several sub-groups for different weighted objective functions. Than new AIS developed in this paper is incorporated after. In AIS field, most researchers use the clonal selection of B cells during the evolving processes to solve various optimization problems. Instead, we try to develop the T helper cell and T suppressor cell in T cell combining B cell to solve the MOFSP. Where T helper cell is used to help improving the solution and then T suppressor cell is generated to increase the diversity of the population. The total difference of completion time of each job is applied as the affinity function instead of the difference of makespan of the schedule. By integrate the subpopulation concept and the proposed AIS, both the diversity and the convergence can be concerned. This SPAIS method can supplement the flaw of SPGA using fitness as the basis and a new Lifespan which will keep good diversified chromosomes within the population to extend the searching spaces. The experimental tests show that this novel SPAIS method is very effective when comparing with SPGA [16], NSGA-II [10], and SPEA-II [3].
Architecture of secure cross-platform and network communications

The convenience of Wireless LAN and the deployment of 3G network make the cross platform/network services (CPS) are getting popular. The core reasons for vulnerabilities for CPS stems from the transform of data and control messages and protocol translation occurred in cross networks and platforms operations. During the translation/transcoding, new threats could be introduced as it may go beyond of data cryptography. We particularly investigate the threats facing in Internet-3G-WiFi and propose the architecture of the secure CPS (SCPS). We illustrate newly defined five types of attacks uniquely in CPS and analyze the traditional attacks (TA) and the cross platform attacks (CPA) which are conducted mode and propose the corresponding countermeasures to the attacks in the cross platform.
A hierarchical Network Coordinate system

Network distance prediction based on Network Coordinate (NC) system provides an efficient mechanism to obtain network distance (latency) information with limited times of measurements. However, the prediction accuracy of single space NC in large network is far from satisfying application requirements, it suffers from higher relative error in short distance estimations especially. In order to improve the short distance prediction, we learn the hierarchical structure feature of the internet and propose a hierarchical predication mechanism based on clustering technology (Clustered-NC). In Clustered-NC, the whole network is clustered into N-level hierarchies, each host is assigned with multiple coordinates corresponding to the N-level hierarchies so that different sets of coordinates satisfy different ranges of distance prediction. Finally, we evaluate the performance of Clustered-NC, and compare it with Vivaldi which is not a hierarchical network coordinate algorithm, results show that Clustered-NC can achieve better prediction accuracy. Many network applications such as nearest server selection will benefit from more accurate prediction using this hierarchical predication mechanism.
G4 motifs correlate with promoter-proximal transcriptional pausing in human genes

The RNA Pol II transcription complex pauses just downstream of the promoter in a significant fraction of human genes. The local features of genomic structure that contribute to pausing have not been defined. Here, we show that genes that pause are more G-rich within the region flanking the transcription start site (TSS) than RefSeq genes or non-paused genes. We show that enrichment of binding motifs for common transcription factors, such as SP1, may account for G-richness upstream but not downstream of the TSS. We further show that pausing correlates with the presence of a GrIn1 element, an element bearing one or more G4 motifs at the 5′-end of the first intron, on the non-template DNA strand. These results suggest potential roles for dynamic G4 DNA and G4 RNA structures in cis-regulation of pausing, and thus genome-wide regulation of gene expression, in human cells.
Emotion-driven automatic music arrangement

Music has a powerful role in invoking emotions, and high quality orchestral music is increasingly being used in video games and interactive applications. This project aims at developing a music arrangement engine for games and interactive applications, in which orchestral music can be automatically arranged from musical materials, rules and parameters provided by composers, subject to the emotional requirements in a game or an interactive application. Through one single graphical user interface, composer can input musical materials while game designer can specify game states, their transitions, and their associated emotions. Based on this information, the music arrangement engine will automatically generate appropriate music with desired emotional qualities.
Round-Robin Tournaments with a Small Number of Breaks

The break minimization problem is to find a home-away assignment that minimizes the number of breaks for a given schedule of a round-robin tournament. In a recent paper, Elf et al. conjectured that this minimization problem is solvable in polynomial time if the optimal value of a given instance is less than the number of teams of the instance. We prove their conjecture affirmatively by showing that the decision problem we propose, which is related to the break minimization problem, is solvable in polynomial time. Our approach is to transform an instance of our decision problem into a collection of instances of 2SAT.
COMPUTER-ASSISTED HANDWRITTEN TEXT TRANSCRIPTION USING SPEECH RECOGNITION

Handwritten Text Recognition (HTR) has gained a lot of attention during the last few years. On the one hand, there exists a large number of applications that can benefit from it. On the other hand, HTR is similar to Automatic Speech Recognition (ASR). Thus, modelling techniques can be easily adapted and most of the already available ASR tools can be used to train and evaluate HTR systems quite straightforwardly. However, HTR performance is still far from perfect and post-editing is needed. This postediting can be made efficiently by means of Computer Assisted Transcription of Handwritten Text Images (CATTI) tools, which iteratively interact with the user to achieve the desired transcription. Typically, this interaction has been made via mouse and keyboard. In this paper, we present the development of a new CATTI system which uses speech as an additional mean of interaction. The system is build upon a generic recogniser both for speech and handwriting recognition.
Therapeutic Efficacy of a Conjugate Vaccine Containing a Peptide Mimotope of Cryptococcal Capsular Polysaccharide Glucuronoxylomannan

ABSTRACT Vaccination with P13, a peptide mimotope of the cryptococcal capsular polysaccharide glucuronoxylomannan (GXM), has been shown to confer protection against a subsequent lethal Cryptococcus neoformans challenge. In this study, we sought to investigate whether P13-based vaccines could be effective in an already-established infection. To address this question, we developed a systemic chronic cryptococcal infection model. We vaccinated chronically infected mice with P13-protein conjugates and monitored their survival. Compared to the controls, the conjugates prolonged the survival of chronically infected mice. The degree of protection was a function of the mouse strain (BALB/c or C57BL/6), the carrier protein (tetanus toxoid or diphtheria toxoid), and the route of infection (intraperitoneal or intravenous). Serum GXM levels were correlated with the day of death, but the correlation was driven by the carrier protein and mouse strain. The passive transfer of heat-treated sera from P13 conjugate-vaccinated mice conferred protection to naïve BALB/c mice, indicating that antibody immunity could contribute to protection. The measurement of peripheral blood cytokine (gamma interferon [IFN-γ], interleukin-10 [IL-10], and IL-6) gene expression showed that P13 conjugate-vaccinated BALB/c and C57BL/6 mice mounted a strong Th2 (IL-10)-like response relative to the Th1 (IFN-γ)-like response, with the degree depending on the mouse strain and carrier protein. Taken together, our data suggest that a vaccine could hold promise in the setting of chronic cryptococcosis, and that vaccine efficacy could depend on immunomodulation and augmentation of the natural immune response of the host.
Scavenged body heat powered infusion pump

An infusion pump powered by body heat is investigated in this paper, with the goal of addressing the needs of dermal wound healing. The infusion pump incorporates a Knudsen gas pump, a type of thermally driven pump, to pneumatic push the pharmaceutical agent from a reservoir. Two designs are considered: an integrated pump and reservoir, and a design with cascaded pump and reservoir. Thermal models are developed for both pumps, and the simulations agree well with the experimental results. The integrated pump and reservoir design uses hydrophobic materials to prevent a flow from occurring unless the infusion pump is placed on a human body. Flow rates in the µL min−1 range for the integrated pump and reservoir, and approximately 70 µL min−1 for the cascaded pump were obtained. The dynamic behavior of the cascaded pump is described based on the thermal models. Multiple copies of the cascaded pump are easily made in series or parallel, to increase either the pressure or the flow rate. The flow rate of multiple pumps in series does not change, and the pressure of multiple pumps in parallel does not change.
Collaboration Explained: Facilitation Skills for Software Project Leaders

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LEARNING FOR SPARSITY-DRIVEN SAR IMAGE RECONSTRUCTION

We consider the problem of synthetic aperture radar (SAR) image formation, where the underlying scene is to be reconstructed from undersampled observed data. Sparsity-based methods for SAR imaging have employed overcomplete dictionaries to represent the magnitude of the complex-valued field sparsely. Selection of an appropriate dictionary with respect to the features of the particular type of underlying scene plays an important role in these methods. In this paper, we develop a new reconstruction method that is based on learning sparsifying dictionaries and using such learned dictionaries in the reconstruction process. Adaptive dictionaries learned from data have the potential to represent the magnitude of complex-valued field more effectively and hence have the potential to widen the applicability of sparsity-based radar imaging. We demonstrate the performance of the proposed method on both synthetic and real SAR images.
Prediksi Financial Distress Kasus Industri Manufaktur Pendekatan Model Regresi Logistik

The purpose of this research are to shows that financial ratios includes; Current Ratio, Leverage Ratio, Gross Profit Margin, Inventory Turnover and Return on Equity have the different between group of financial distress, group of gray area, and group of non financial distress; and to proven financial ratios can be used to predict financial distress conditions of manufacturers in Indonesia Stock Exchange. Measurement of financial distress using the Altman Z-score and the variables to predict financial distress is Current Ratio, Leverage Ratio, Gross Profit Margin, Inventory Turnover, and Return on Equity. These analysis using K Independent Sample Kruskal-Wallis, to known financial ratios have the different between group of financial distress, and predicting financial distress using logistic regression. The results of the research shown: The financial ratios includes: Current Ratio, Leverage Ratio, Gross Profit Margin, Inventory Turnover and Return on Equity have the different between groups of financial distress. It can be showed by mean ranking of leverage ratio and current ratio, these means the group of financial distress have leverage ratio and current ratio higher than group of gray area and non financial distress. Logistic Regression models includes of the Overall Percentage those shown financial ratios proven to predictfinancial distressfor 82.3% and the Nagel Kerke R Square shown the variances of financial ratios can explain 68.0% of financial distress.
Making Regular Eyeglasses Smart

The authors discuss the vast application potential of multipurpose smart eyeglasses that integrate into the form factor of traditional spectacles and provide frequently needed sensing and interaction. In combination with software apps running on smart eyeglasses, the authors develop universal assistance systems that remain unobtrusive and thus can support wearers throughout their daily life. They describe a blueprint of the embedded architecture of smart eyeglasses and identify various software app clusters. They discuss findings from using smart eyeglasses prototypes in three case studies: to recognize cognitive workload, quantify reading habits, and monitor light exposure to estimate the circadian phase. This article is part of a special issue on digitally enhanced reality.
Improved two-factor user authentication in wireless sensor networks

Wireless sensor networks (WSNs) are considered due to the ubiquitous nature, ease of deployment, and wide range of possible applications. WSNs can be deployed in unattended environments, where a registered user can login to the network and access data collected by the linked sensors. Authenticating users in resource constrained environments is one of the major security concerns. Since sensor nodes have limited resources and computation power, it is desirable that the authentication protocol is simple and efficient. In 2009, M. L. Das proposed a two-factor authentication for WSNs, where a user has to prove possession of both, a password and a smart card. Since his scheme utilizes only cryptographic one-way hash function and exclusive-OR operation, it is well-suited for resource constrained environments. However, Khan and Algahathbar pointed out that Das's scheme has some flaws and is vulnerable to various attacks and proposed an alternative solution. In this paper, we show that both, Das's and Khan-Algahathbar's schemes have flaws and remain vulnerable to various attacks including stolen smart card attacks. To overcome the security weaknesses of both schemes, we propose an improved two-factor user authentication that is resilient to stolen smart card attacks as well as other common types of attacks. We provide security evaluation of the proposed protocols showing its robustness to various attacks and analyzed the scheme's performance to determine its efficiency. Compared to the previous schemes, it is proven more robust and provides better security.
Method for Predicting the Perceived Quality of Service for Digital Video as a Function of the Encoding Bit Rate and the Content Dynamics

This paper presents a novel method for fast and quantified estimation of the Perceived Quality of Service (PQoS) for MPEG-4 video content, encoded at constant bit-rates. Taking into account the instant PQoS variation due to the Spatial and Temporal (S-T) activity within a given MPEG-4 encoded content, this paper introduces the Mean PQoS (MPQoS) as a function of the video encoding rate and the picture resolution, and exploits it as a metric for objective video quality assessment. The validity of this metric is assessed by comparing PQoS experimental curves to the theoretical benefit functions vs. allocated resources. Based on the proposed metric, and taking into account the qualitative similarity between theoretical and experimental curves, the paper presents a prototype method for pre-encoding PQoS assessment based on the fast estimation of the S-T activity level of a video signal.
Female Reproductive Strategies in the Ruff (Philomachus pugnax)

Traditionally, females have been considered to be strictly monogamous. Today, we know that females in the majority of species actively seek out and mate with several males. Trying to understand female preferences, including what benefits mate choice entails, has been the focus of intense research during the last decades. Females can gain both direct (e.g. access to better territories or paternal care) and indirect (i.e. genetic) benefits. The aim of this thesis is to further our understanding of the female reproductive strategies in the ruff, Philomachus pugnax (Aves, Scolopacidae). The ruff is a lekking wader, where males gather on leks to display to females that come there to mate. Males do not provide any paternal care to the offspring. Lekking systems are ideal for studying indirect benefits of female choice, as females do not gain any direct benefits from males.Females mated with several males and 50% of the broods were fathered by at least two males. The level of genetic similarity between two parents has previously been shown to be an important source of variation in offspring fitness. Males that were less closely related to the female fathered more offspring in broods with multiple paternity, such that females that mated multiply gained in terms of receiving more outbred offspring. There did not, however, appear to be an overall female preference for less closely related males. There are two genetically determined male reproductive strategies in the ruff, that differ in behaviour and morphology. There was no evidence for females taking male strategy into account when choosing a partner.Female post-fertilisation strategies may also influence fitness, e.g. through differential investment in eggs, gender of the offspring and choice of breeding habitat. Females allocated sex in a non-random manner dependent upon body condition, such that females in good condition had more daughters.Females were found to nest in higher than average vegetation and in areas with higher than average abundance of insects, factors likely to influence predation rates on both eggs and young, as well as foraging opportunities for the precocial young. Further, females were faithful to their previous breeding site and usually nested within meters of their previous nest. Hatching success did not, however, affect a female’s decision to return or not.
License Plate Automatic Recognition System Based on MATLAB-GUI

With the rapid development of the transportation industry in our country, traffic management in China has gradually transformed into a digital and intelligent system. In traffic management digitization, intelligence is one of the most important links of license plate automated recognition. Considering this problem, a license plate automatic recogni- tion algorithm based on the image processing technology is established, and then a corresponding GUI system is devel- oped using MATLAB software system. Experimental results show that the system can be used more quickly and accu- rately for license plate recognition.
Transcriptome-wide expansion of non-coding regulatory switches: evidence from co-occurrence of Alu exonization, antisense and editing

Non-coding RNAs from transposable elements of human genome are gaining prominence in modulating transcriptome dynamics. Alu elements, as exonized, edited and antisense components within same transcripts could create novel regulatory switches in response to different transcriptional cues. We provide the first evidence for co-occurrences of these events at transcriptome-wide scale through integrative analysis of data sets across diverse experimental platforms and tissues. This involved the following: (i) positional anchoring of Alu exonization events in the UTRs and CDS of 4663 transcript isoforms from RefSeq mRNAs and (ii) mapping on to them A→I editing events inferred from ∼7 million ESTs from dbEST and antisense transcripts identified from virtual serial analysis of gene expression tags represented in Cancer Genome Anatomy Project next-generation sequencing data sets across 20 tissues. We observed significant enrichment of these events in the 3′UTR as well as positional preference within the embedded Alus. More than 300 genes had co-occurrence of all these events at the exon level and were significantly enriched in apoptosis and lysosomal processes. Further, we demonstrate functional evidence of such dynamic interactions between Alu-mediated events in a time series data from Integrated Personal Omics Profiling during recovery from a viral infection. Such ‘single transcript—multiple fate’ opportunity facilitated by Alu elements may modulate transcriptional response, especially during stress.
Multimodal Template Protection Based on Data Transformation and Fuzzy Vault ⋆

Due to the similarity of biological characteristics in image acquisition and physiological complementarity between the face and the ear, this paper proposes a hybrid face and ear multi-biometric template protection method, which firstly conducts a feature level fusion of the face and the ear feature vectors, and secondly transforms the fused features with a non-invertible function, and then utilize Fuzzy Vault algorithm to protect the transformed templates. The basic flow of the scheme is divided into several parts: image preprocessing, Gabor-PCA feature extraction, feature level fusion, template transformation, fusion template encryption, fusion template decryption. On two face and ear multimodal datasets, the face and ear authentication experimental results show the effectiveness of the proposed multimodal template protection method.