Miracle-dz/UniFAR-FTUs huggingface dataset:
Fuzzy direct adaptive control for robotic manipulators

A fuzzy direct adaptive control strategy is proposed for the trajectory tracking control of robotic manipulators. Different to the traditional fuzzy adaptive control method, a generalized hyperbolic model is used to be the fuzzy basis function. The input generalized variables of the fuzzy logic system, derived from the input variables after their transformation, can cover with the whole input space. Thus, the fuzzy logic system can approximate the desired control input by an arbitrary accuracy. Furthermore, due to the special structure of the fuzzy hyperbolic model, the adaptive fuzzy control strategy needs only fewer updated parameters so that it can avoid a heavy computational burden but getting a satisfied tracking performance. Simulation studies are presented to show that this control algorithm has an expected tracking accuracy.
Space-time processing TDMA wireless testbed

The paper describes the architecture of the Stanford University (SU) TDMA standalone testbed. The testbed was developed to evaluate space-time processing (STP) algorithms for diversity, co-channel interference (CCI) and intersymbol interference (ISI) mitigation, array gain and space-time coding. It operates in both uplink and downlink modes and uses a hybrid (combining a real and simulated) channel environment. A description of transmit and receive schemes implemented on the testbed is presented.
Lower Connectivity is Better: The Effects of Network Structure on Redundancy of Ideas and Customer Innovativeness in Interdependent Ideation Tasks

This article examines the popular marketing practice of interdependent ideation, whereby firms solicit ideas from customers through online platforms that enable customers to be exposed to or “inspired” by other customers’ ideas when generating their own. Although being exposed to others’ ideas means that customers are “connected” (at least implicitly) in a communication network that facilities the flow of ideas, the effect of network structure on individual innovativeness has not been considered in this context. The authors examine how, when, and why network structure—specifically, the clustering, or interconnectivity, of one's “inspirations” (other customers)—affects the innovativeness of individual customers’ product/service ideas in ideation tasks. Across five experiments, the authors show that (1) higher clustering/interconnectivity negatively affects the innovativeness of a customer's ideas; (2) this effect occurs because idea inspirations are more likely to be similar or redundant when their sources (i.e., other customers to which one is connected) are clustered; (3) greater redundancy among ideas used as inspirations is what causes lower innovativeness; and (4) this effect is attenuated when customers do not rely on other customers’ ideas for inspiration.
Router Attacks-Detection And Defense Mechanisms

: Router is one of the most important components of any network. Their main aim is taking routing decision to forward a packet to its destination. It can be a home or small office router which takes your traffic on the internet; or it can also be one of the core routers which form the backbone of the internet. Being such an important component, routers are often targeted for attacks. It thus becomes necessary to apply some kind of security mechanism to protect them. This paper gives a survey of different methods for router management and security. The aim is to detect any anomalous behavior of router which can lead to collapse of entire network. It then focuses on using an excellent in built feature available in almost any machine like router or web server or mail server or switch or database server which is LOGS! Proper analysis of logs that are generated can be extremely useful for detecting any anomalous behavior of the router. Thus logs can provide us huge information for solving a misconfiguration on router or detect an intrusion on the system. In this paper we give details about how to use router logs for attacks detection and defense.
Computer assisted processing of large unstructured document sets: a case study in the construction industry

Construction is one of the most information intensive industries; typically professionals access the industry information resources on a daily basis. The major constraints to the future development of a formally encoded knowledge base are fragmented information sources and lack of comprehensive classification schemes. In agreement with earlier research and over twenty years of practical experience we have found that manually categorising a large collection of documents is error-prone, time-consuming, expensive and produces inconsistent results. Attempts over recent years to automate this using state-of-the-art categorisation techniques, have also proven to be wanting due to the shallow internal representation in the document set. In this paper we describe an approach to overcome this problem by combining the benefits of automated categorisation with efficient and effective use of human judgement. We present a tool based on this philosophy that utilises machine learning, information retrieval and information visualisation techniques to help bibliographers analyse the document collection. By analysing the content of the unstructured document, this tool suggests to the bibliographer keywords, subject headings and candidate documents to include under subject headings. This greatly increases the speed at which bibliographers can process the documents, increases the accuracy of their work and results in a categorisation system that reflects the terminology and relationships held in the actual knowledge base. This work is now being applied to enhance one of the market leading retrieval products in the construction industry.
Turbine blade fault detection based on feature extraction

This paper is aimed at making diagnosis for turbine blades by processing data. In this paper three kinds of feature are extracted, using time-domain analysis, wavelet packet decomposition and fractal analysis respectively. K-means algorithm is improved to classify data. The method of improved ReliefF is taken to allocate weights of each feature. This article calculates combined feature center distance synthesized. Take the obtained centre distance as a threshold to diagnose faults. Comparison is made to verify that application of cluster analysis and weight allocation algorithm can reduce error rate in detecting diagnosing faults for turbine blades.
Cellular Processes and Pathways That Protect Saccharomyces cerevisiae Cells against the Plasma Membrane-Perturbing Compound Chitosan

ABSTRACT Global fitness analysis makes use of a genomic library of tagged deletion strains. We used this approach to study the effect of chitosan, which causes plasma membrane stress. The data were analyzed using T-profiler, which was based on determining the sensitivities of groups of deletion strains to chitosan, as defined by Gene Ontology (GO) and by genomic synthetic lethality screens, in combination with t statistics. The chitosan-hypersensitive groups included a group of deletion strains characterized by a defective HOG (high-osmolarity glycerol) signaling pathway, indicating that the HOG pathway is required for counteracting chitosan-induced stress. Consistent with this, activation of this pathway in wild-type cells by hypertonic conditions offered partial protection against chitosan, whereas hypotonic conditions sensitized the cells to chitosan. Other chitosan-hypersensitive groups were defective in RNA synthesis and processing, actin cytoskeleton organization, protein N-glycosylation, ergosterol synthesis, endocytosis, or cell wall formation, predicting that these cellular functions buffer the cell against the deleterious effect of chitosan. These predictions were supported by showing that tunicamycin, miconazole, and staurosporine (which target protein N-glycosylation, ergosterol synthesis, and the cell wall integrity pathway, respectively) sensitized Saccharomyces cerevisiae cells to chitosan. Intriguingly, the GO-defined group of deletion strains belonging to the “cytosolic large ribosomal subunit” was more resistant to chitosan. We propose that global fitness analysis of yeast in combination with T-profiler is a powerful tool to identify specific cellular processes and pathways that are required for survival under stress conditions.
Iterative Aggregation Method for Solving Principal Component Analysis Problems

Motivated by the previously developed multilevel aggregation method for solving structural analysis problems a novel two-level aggregation approach for efficient iterative solution of Principal Component Analysis (PCA) problems is proposed. The course aggregation model of the original covariance matrix is used in the iterative solution of the eigenvalue problem by a power iterations method. The method is tested on several data sets consisting of large number of text documents.
Dynamic threshold based rate adaptation for HTTP live streaming

The Dynamic Adaptive Streaming over HTTP (DASH) is specified to cope with the changing network conditions and provide an adaptive bit-rate HTTP-based streaming solution. While there have been many researches of rate adaptation algorithms on adaptive HTTP streaming, much of the work is focused on Video on Demand (VoD) service — which is not same as live streaming. It is generally preferred to minimize the end-to-end delay and make full use of the bandwidth for live services. In this paper, we propose a buffer-based rate adaptation algorithm with dynamic threshold which can decrease the rate transitions and provide a seamless playback under a low latency requirement. The rate adaptation metrics not only take into account the momentary value of bandwidth but also consider its fluctuation as the recognition of bandwidth is crucial over small buffer. Experiments demonstrate that our proposed rate adaptation scheme outperforms the methods using fixed threshold or instant throughput.
An empirical study of the effects of personality on software testing

The effectiveness of testing is a major determinant of software quality. It is believed that individual testers vary in their effectiveness, but so far the factors contributing to this variation have not been well studied. In this study, we examined whether personality traits, as described by the five-factor model, affect performance on a software testing task. ICT students were given a small software testing task at which their effectiveness was assessed using several different criteria, including bug location rate, weighted fault density, and bug report quality. Their personality was assessed using the NEO PI-3 personality questionnaire. We then compared testing performance according to individual and aggregate measures against different five-factor personality traits. Several weak correlations between two of these personality traits, extraversion and conscientiousness, and testing effectiveness were found.
What are the factors associated with good mental health among Aboriginal children in urban New South Wales, Australia? Phase I findings from the Study of Environment on Aboriginal Resilience and Child Health (SEARCH)

Objective To identify the factors associated with ‘good’ mental health among Aboriginal children living in urban communities in New South Wales, Australia. Design Cross-sectional survey (phase I of a longitudinal study). Setting 4 Aboriginal Community Controlled Health Services that deliver primary care. All services were located in urban communities in New South Wales, Australia. Participants 1005 Aboriginal children aged 4–17 years who participated in phase I of the Study of Environment on Aboriginal Resilience and Child Health (SEARCH). Primary outcome measure Carer report version of the Strengths and Difficulties Questionnaire. Scores <17 were considered to indicate ‘good’ mental health for the purposes of this article. Results The majority (72%) of SEARCH participants were not at high risk for emotional or behavioural problems. After adjusting for the relative contributions of significant demographic, child and carer health factors, the factors associated with good mental health among SEARCH children were having a carer who was not highly psychologically distressed (OR=2.8, 95% CI 1.6 to 5.1); not suffering from frequent chest, gastrointestinal or skin infections (OR=2.8, 95% CI 1.8 to 4.3); and eating two or more servings of vegetables per day (OR=2.1, 95% CI 1.2 to 3.8). Being raised by a foster carer (OR=0.2, 95% CI 0.01 to 0.71) and having lived in 4 or more homes since birth (OR=0.62, 95% CI 0.39 to 1.0) were associated with significantly lower odds of good mental health. Slightly different patterns of results were noted for adolescents than younger children. Conclusions Most children who participated in SEARCH were not at high risk for emotional or behavioural problems. Promising targets for efforts to promote mental health among urban Aboriginal children may include the timely provision of medical care for children and provision of additional support for parents and carers experiencing mental or physical health problems, for adolescent boys and for young people in the foster care system.
Analysis of RAD51D in Ovarian Cancer Patients and Families with a History of Ovarian or Breast Cancer

Mutations in RAD51D have been associated with an increased risk of hereditary ovarian cancer and although they have been observed in the context of breast and ovarian cancer families, the association with breast cancer is unclear. The aim of this current study was to validate the reported association of RAD51D with ovarian cancer and assess for an association with breast cancer. We screened for RAD51D mutations in BRCA1/2 mutation-negative index cases from 1,060 familial breast and/or ovarian cancer families (including 741 affected by breast cancer only) and in 245 unselected ovarian cancer cases. Exons containing novel non-synonymous variants were screened in 466 controls. Two overtly deleterious RAD51D mutations were identified among the unselected ovarian cancers cases (0.82%) but none were detected among the 1,060 families. Our data provide additional evidence that RAD51D mutations are enriched among ovarian cancer patients, but are extremely rare among familial breast cancer patients.
International Diplomacy and the Prelude to the 2003 Invasion of Iraq

Using framing as a theoretical and methodological framework, this study presents an analysis of the interpretation that the sub-Saharan African press put upon events prior to the 2003 Americanled military invasion of Iraq. It was found that the press opposed policies and efforts intended to initiate military action. This opposition was based on the contention that a westernled attack on Iraq, without an international consensus, would produce great political, economic and social upheaval in the Middle East, which might destabilize and have a negative impact upon African states.
Does non-native language influence learning a melody? A comparison of native English and native Chinese university students on the AIRS Test Battery of Singing Skills

The AIRS Test Battery of Singing Skills (ATBSS) is a protocol for acquiring data about a wide range of singing abilities, one of which is the ability to learn an unfamiliar song. This test component presents a song with English lyrics. We examined the role of native language of the singer in this task by comparing the sung productions of the song by native English versus native Chinese students. Following a pilot study that suggested the impact of native language, in the main experiment, 12 participants (6 from each language group) heard the test song with lyrics in their native language (English/Mandarin Chinese), and 12 more heard the lyrics in the foreign language. The instructions were to sing “la” and not the lyrics. For both native-language groups, those who heard the song in their native language made fewer melodic contour errors. When later asked to sing the song with lyrics, the benefit of native language was also evident for both contour and lyrics. These effects of degree of matching of one’s native language with the language of the lyrics when learning a new song emphasize the importance of controlling for native language when recruiting for the ATBSS. It also validates efforts to create versions of the ATBSS in prominent world languages.
EzTaxon: a web-based tool for the identification of prokaryotes based on 16S ribosomal RNA gene sequences.

16S rRNA gene sequences have been widely used for the identification of prokaryotes. However, the flood of sequences of non-type strains and the lack of a peer-reviewed database for 16S rRNA gene sequences of type strains have made routine identification of isolates difficult and labour-intensive. In the present study, we generated a database containing 16S rRNA gene sequences of all prokaryotic type strains. In addition, a web-based tool, named EzTaxon, for analysis of 16S rRNA gene sequences was constructed to achieve identification of isolates based on pairwise nucleotide similarity values and phylogenetic inference methods. The system developed provides users with a similarity-based search, multiple sequence alignment and various phylogenetic analyses. All of these functions together with the 16S rRNA gene sequence database of type strains can be successfully used for automated and reliable identification of prokaryotic isolates. The EzTaxon server is freely accessible over the Internet at http://www.eztaxon. org/
Local Delivery of Anti-Monocyte Chemoattractant Protein-1 by Gene-Eluting Stents Attenuates In-Stent Stenosis in Rabbits and Monkeys

Objective—We have previously shown that the intramuscular transfer of the anti–monocyte chemoattractant protein-1 (MCP-1) gene (called 7ND) is able to prevent experimental restenosis. The aim of this study was to determine the in vivo efficacy and safety of local delivery of 7ND gene via the gene-eluting stent in reducing in-stent neointima formation in rabbits and in cynomolgus monkeys. Methods and Results—We here found that in vitro, 7ND effectively inhibited the chemotaxis of mononuclear leukocytes and also inhibited the proliferation/migration of vascular smooth muscle cells. We then coated stents with a biocompatible polymer containing a plasmid bearing the 7ND gene, and deployed these stents in the iliac arteries of rabbits and monkeys. 7ND gene-eluting stents attenuated stent-associated monocyte infiltration and neointima formation after one month in rabbits, and showed long-term inhibitory effects on neointima formation when assessments were carried out at 1, 3, and 6 months in monkeys. Conclusions—Strategy of inhibiting the action of MCP-1 with a 7ND gene-eluting stent reduced in-stent neointima formation with no evidence of adverse effects in rabbits and monkeys. The 7ND gene-eluting stent could be a promising therapy for treatment of restenosis in humans.
Pathologic Studies of Fatal Encephalomyelitis in Children Caused by Enterovirus 71.

OBJECTIVES Enterovirus 71 (EV71) is the major pathogen of hand, foot, and mouth disease and can cause death; however, its pathogenesis remains elusive. METHODS We performed a detailed systematic histopathologic examination and molecular studies on six autopsy cases of EV71 infection using H&E, immunohistochemistry, double immunofluorescence staining, and nested reverse transcription polymerase chain reaction. RESULTS Characteristic features of acute encephalomyelitis were observed. Viral antigens were mainly detected in neuronal cytoplasm and processes in the different brainstem nuclei and spinal cord, including the anterior and posterior horn cells. Viral antigens were also positive in the nerve roots of spinal cord and autonomic ganglia of intestines. CONCLUSIONS Our study revealed direct pathologic evidence supporting viral entry into the central nervous system (CNS) through peripheral nerves. In addition to the major motor pathway, EV71 can also enter the CNS via peripheral sensory and autonomic pathways in retrograde axonal transport.
Linking person perception and person knowledge in the human brain

Neuroscience research has examined separately how we detect human agents on the basis of their face and body (person perception) and how we reason about their thoughts, traits or intentions (person knowledge). Neuroanatomically distinct networks have been associated with person perception and person knowledge, but it remains unknown how multiple features of a person (e.g. thin and kind) are linked to form a holistic identity representation. In this fMRI experiment, we investigated the hypothesis that when encountering another person specialised person perception circuits would be functionally coupled with circuits involved in person knowledge. In a factorial design, we paired bodies or names with trait-based or neutral statements, and independent localiser scans identified body-selective and mentalising networks. When observing a body paired with a trait-implying statement, functional connectivity analyses demonstrated that body-selective patches in bilateral fusiform gyri were functionally coupled with nodes of the mentalising network. We demonstrate that when forming a representation of a person circuits for representing another person’s physical appearance are linked to circuits that are engaged when reasoning about trait-based character. These data support the view that a ‘who’ system for social cognition involves communication between perceptual and inferential mechanisms when forming a representation of another’s identity.
Granulin-epithelin precursor and ATP-dependent binding cassette (ABC)B5 regulate liver cancer cell chemoresistance.

BACKGROUND & AIMS Chemotherapy is used to treat unresectable liver cancer with marginal efficacy; this might result from hepatic cancer cells with stem cell and chemoresistant features. Gene expression profiling studies have shown that hepatic cancer cells express granulin-epithelin precursor (GEP); we investigated its role in hepatic cancer stem cell functions and chemoresistance. METHODS The effects of GEP and drug transporter signaling on chemoresistance were investigated in hepatic cancer stem cells. We analyzed the expression patterns of 142 clinical samples from liver tumors, adjacent nontumorous liver tissue, and liver tissue from patients who did not have cancer. RESULTS GEP regulated the expression of the adenosine triphosphate-dependent binding cassette (ABC)B5 drug transporter in liver cancer cells. Chemoresistant cells that expressed GEP had increased levels of ABCB5; suppression of ABCB5 sensitized the cells to doxorubicin uptake and apoptosis. Most cells that expressed GEP and ABCB5 also expressed the hepatic cancer stem cell markers CD133 and EpCAM; blocking ABCB5 reduced their expression. Expression levels of GEP and ABCB5 were correlated in human liver tumor samples. ABCB5 levels were increased in liver cancer cells compared with nontumor liver tissue from patients with cirrhosis or hepatitis, or normal liver tissue. ABCB5 expression was associated with the recurrence of hepatocellular carcinoma after partial hepatectomy. CONCLUSIONS Expression of GEP and ABCB5 in liver cancer stem cells is associated with chemoresistance and reduced survival times of patients with hepatocellular carcinoma. Reagents designed to target these proteins might be developed as therapeutics and given in combination with chemotherapy to patients with liver cancer.
Experiment with control code obfuscation

Control code obfuscation is intended to prevent malicious reverse engineering of software by masking the program control flow. The idea for further advancing the state of the art was presented in 2000 by WANG C. An obfuscating system for Java based on the ideas of WANG C is implemented and experimented. The experiment results show that obfuscation can be done efficiently with moderate increases in code size, execution times, while making the obfuscated code resilient to a variety of reverse engineering attacks.