Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of hydrocolloid type on rheological and sensory properties of pureed carrots

Effect of hydrocolloid type on rheological and sensory properties of pureed carrots Madhu Sharma Advisor: University of Guelph, 2015 Dr. Lisa Duizer Hydrocolloids are added to pureed foods to give desired consistency based on visual judgement, due to the existing qualitative guidelines. The current study was undertaken to understand how different hydrocolloids affect texture and other sensory modalities of pureed carrots when viscosity is kept within a specific range. Eight hydrocolloids and one commercial sample were tested using small (rheology) and large deformation (rheology and TPA) instrumental measurements. Sensory analysis was also conducted. Hydrocolloids showed differences in gel strength (small deformation) and ease of deformation to make a swallow-able bolus (large deformation) and similarities in elastic behaviour. Trained panel sensory results indicated textural similarities among some hydrocolloids. Partial napping gave a product map and associated descriptors of each hydrocolloid for appearance, flavour and texture. Hydrocolloids with similarities in texture differed in appearance and flavour. This data can be used for understanding the impact of hydrocolloids on foods for individuals with dysphagia.
Time-varying distributed MIMO-OFDM channel subblock estimation based on slepian basis

To improve the performance of time-varying distributed multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems, a subblock-wise channel estimation scheme based on discrete prolate spheroidal basis expansion model (DPS-BEM) is proposed. The time-varying channel is well captured by the DPS-BEM, exploiting the unknown channel slepian correlation. The time-variations of the subblock DPS-BEM coefficients are likely much slower than that of the channel. Thus, the DPS-BEM is more convenient to track in time-varying environments. The DPS-BEM coefficients are estimated via subblock-wise, based on time-multiplexed periodically transmitted training symbols. Simulation results show that the proposed algorithm can effectively improve the channel estimation performance.
Moore: An Extendable Peer-to-Peer Network Based on Incomplete Kautz Digraph with Constant Degree

The topological properties of peer-to-peer overlay networks are critical factors that dominate the performance of these systems. Several non-constant and constant degree interconnection networks have been used as topologies of many peer-to-peer networks. One of these has many desirable properties: the Kautz digraph. Unlike interconnection networks, peer-to-peer networks need a topology with an arbitrary size and degree, but the complete Kautz digraph does not possess these properties. In this paper, we propose Moore: the first effective and practical peer-to-peer network based on the incomplete Kautz digraph with <i>O</i>(log<i> <sub>d</sub> </i> <i>N</i>) diameter and constant degree under a dynamic environment. The diameter and average routing path length are [log<i> <sub>d</sub> </i>(<i>N</i>) - log<i> <sub>d</sub> </i>(1 + 1/<i>d</i>)] and log<i> <sub>d</sub> </i> <i>N</i>, respectively, and are shorter than that of CAN, butterfly, and cube-connected-cycle. They are close to that of complete de Bruijn and Kautz digraphs. The message cost of node joining and departing operations are at most 2.5 <i>d</i> log<i> <sub>d</sub> </i> <i>N</i> and (2.5 <i>d</i> + 1) log<i> <sub>d</sub> </i> <i>N</i>, and only <i>d</i> and 2<i>d</i> nodes need to update their routing tables. Moore can achieve optimal diameter, high performance, good connectivity and low congestion evaluated by formal proofs and simulations.
Receptor tyrosine kinases in carcinogenesis

Receptor tyrosine kinases (RTKs) are cell surface glycoproteins with enzymatic activity involved in the regulation of various important functions. In all-important physiological functions including differentiation, cell-cell interactions, survival, proliferation, metabolism, migration and signaling these receptors are the key players of regulation. Additionally, mutations of RTKs or their overexpression have been described in many human cancers and are being explored as a novel avenue for a new therapeutic approach. Some of the deregulated RTKs observed to be significantly affected in cancers included vascular endothelial growth factor receptor, epidermal growth factor receptor, fibroblast growth factor receptor, RTK-like orphan receptor 1 (ROR1) and the platelet-derived growth factor receptor. These deregulated RTKs offer attractive possibilities for the new anticancer therapeutic approach involving specific targeting by monoclonal antibodies as well as kinase. The present review aimed to highlight recent perspectives of RTK ROR1 in cancer.
UvA-DARE ( Digital Academic Repository ) Syntactic discriminative language model rerankers for statistical machine translation

This article describes a method that successfully exploits syntactic features for n-best translation candidate reranking using perceptrons. We motivate the utility of syntax by demonstrating the superior performance of parsers over n-gram language models in differentiating between Statistical Machine Translation output and human translations. Our approach uses discriminative language modelling to rerank the n-best translations generated by a statistical machine translation system. The performance is evaluated for Arabic-to-English translation using NIST’s MT-Eval benchmarks. While deep features extracted from parse trees do not consistently help, we show how features extracted from a shallow Part-of-Speech annotation layer outperform a competitive baseline and a state-of-the-art comparative reranking approach, leading to significant BLEU improvements on three different test sets.
Características Mecânicas e Energéticas de Briquetes Produzidos a partir de Diferentes Tipos de Biomassa

With the increasing demand of resources for the production of sustainable energy, the use of solid biofuels becomes an important alternative since biomass is a clean and renewable source of energy. The aim of this study was to compare the characteristics of different types of biomass for the production of briquettes. The raw materials used were the residue of sugarcane, the pine sawdust and red angelim. All materials were used with a moisture content of 10% and particle size (granulometry) retained in the sieves of 20 and 35 mesh. The results show that red angelim briquettes had the greatest mechanical resistance (0,840 MPa) the highest High Heating Value (4,749 kcal/kg), the lower ash content (0.30%) and the lowest longitudinal expansion (5.03%), compared to other biofuels studied. The tests showed the formation of blends might be a viable alternative to the use of various types of raw materials that, alone, could not be used in the production of briquettes.
Segmentation and Splitting of Touching Vaginal Bacteria Based on Superpixel and Effective Distance

In this paper, a new method for segmentation and splitting of touching vaginal bacteria based on super pixel method is proposed. Feature fusion is integrated with kernel-based support vector machine (SVM) for bacteria segmentation. After segmentation by super pixel, the touching bacteria regions are further separated according to the defined effective distance. Finally, the separated bacteria are counted finally for the performance evaluation. Our experimental results show that the proposed method has achieved promising segmentation result. Moreover, compared to the state-of-the-arts method, better segmentation results have also been achieved.
An Investigation of Genetic Algorithm on Steganalysis Techniques

In this paper, we propose a feature selection and transformation approach for universal steganalysis based on Genetic Algorithm (GA) and higher order statistics. We choose three types of typical statistics as candidate features and twelve kinds of basic functions as candidate transformations. The GA is utilized to select a subset of candidate features, a subset of candidate transformations and coefficients of the Logistic Regression Model for blind image steganalysis. The Logistic Regression Model is then used as the classifier. Experimental results show that the GA based approach increases the blind detection accuracy and also provides a good generality by identifying an untrained stego-algorithm. ∗
The Cauliflower Or Gene Encodes a DnaJ Cysteine-Rich Domain-Containing Protein That Mediates High Levels of β-Carotene Accumulation[W]

Despite recent progress in our understanding of carotenogenesis in plants, the mechanisms that govern overall carotenoid accumulation remain largely unknown. The Orange (Or) gene mutation in cauliflower (Brassica oleracea var botrytis) confers the accumulation of high levels of β-carotene in various tissues normally devoid of carotenoids. Using positional cloning, we isolated the gene representing Or and verified it by functional complementation in wild-type cauliflower. Or encodes a plastid-associated protein containing a DnaJ Cys-rich domain. The Or gene mutation is due to the insertion of a long terminal repeat retrotransposon in the Or allele. Or appears to be plant specific and is highly conserved among divergent plant species. Analyses of the gene, the gene product, and the cytological effects of the Or transgene suggest that the functional role of Or is associated with a cellular process that triggers the differentiation of proplastids or other noncolored plastids into chromoplasts for carotenoid accumulation. Moreover, we demonstrate that Or can be used as a novel genetic tool to induce carotenoid accumulation in a major staple food crop. We show here that controlling the formation of chromoplasts is an important mechanism by which carotenoid accumulation is regulated in plants.
EXPLORING MACRO-LEVEL FACTORS IN M-BANKING ADOPTION FOR RURAL SMES IN BAGLADESH FROM THE BANK ’ S PERSPECTIVE : A FOCUS GROUP STUDY

There is relatively little known about the m-banking use by the rural small and medium enterprises (SMEs) in Bangladesh. This research fills the gap by presenting the key advantages of using mbanking by the rural SMEs that a bank can offer in Bangladesh. The research also reports on the critical country-level factors, organizational success factors and obstacles in m-banking adoption for rural SMEs. A focus group was interviewed and the data were analysed using NVivo9.The findings indicate that improved banking facility, an opportunity to create employment in rural area, easy settlement of trade between SMEs, better cash management are some important advantages of mbanking for the rural SMEs. Technology and human resource capabilities of the banks together with the development of mobile infrastructure are some influential factors in m-banking development in Bangladesh. This paper also identifies engagement with the SMEs as an important organizational factor in m-banking diffusion for rural SME that have been rarely identified in prior literature. However, the major constraints are the operational constraints such as cash management, policy and regulation and administrative obstacles. Recommendation for a business version m-banking, joint advertisement by the banks and mobile telecom organisations and a regional m-banking platform are also new knowledge in m-banking research. This is one of the few papers from the perspective of a bank, since most of the literature approaches the matter from the consumer standpoint. The outcomes and results of this research will be of potential value to the government, banks and mobile telecommunications in accelerating the development of m-banking in Bangladesh and in other developing countries.
Analysis of Flax Fiber Cell-Wall Non-Cellulosic Polysaccharides Under Different Weather Conditions (Marylin Variety)

ABSTRACT The cell-wall composition has been analyzed for 13 batches of flax fibers grown over 3 years under 3 different weather conditions including a ‘normal one, a harsh drought and a rainy weather. It was found that both stresses, drought and excess of rain induced a decrease of uronic acid in the matrix and an increase of the structuring pectins. Besides, a drought led to an increase of hemicellulose polysaccharides (+24%) whereas an excess of rainfall caused a rise in the amount of so-called structuring pectins (+67%). As the fiber’s mechanical properties remained the same over the years, it was assumed that the cell-wall composition was modified to preserve the mechanical role of the fiber in the stem.
Mobile devices in medicine: a survey of how medical students, residents, and faculty use smartphones and other mobile devices to find information.

OBJECTIVES The research investigated the extent to which students, residents, and faculty members in Canadian medical faculties use mobile devices, such as smartphones (e.g., iPhone, Android, Blackberry) and tablet computers (e.g., iPad), to answer clinical questions and find medical information. The results of this study will inform how health libraries can effectively support mobile technology and collections. METHODS An electronic survey was distributed by medical librarians at four Canadian universities to medical students, residents, and faculty members via departmental email discussion lists, personal contacts, and relevant websites. It investigated the types of information sought, facilitators to mobile device use in medical information seeking, barriers to access, support needs, familiarity with institutionally licensed resources, and most frequently used resources. RESULTS The survey of 1,210 respondents indicated widespread use of smartphones and tablets in clinical settings in 4 Canadian universities. Third- and fourth-year undergraduate students (i.e., those in their clinical clerkships) and medical residents, compared to other graduate students and faculty, used their mobile devices more often, used them for a broader range of activities, and purchased more resources for their devices. CONCLUSIONS Technological and intellectual barriers do not seem to prevent medical trainees and faculty from regularly using mobile devices for their medical information searches; however, barriers to access and lack of awareness might keep them from using reliable, library-licensed resources. IMPLICATIONS Libraries should focus on providing access to a smaller number of highly used mobile resources instead of a huge collection until library-licensed mobile resources have streamlined authentication processes.
Statistics of Single-Degree-of-Freedom Estimate of Displacement for Pushover Analysis of Buildings

Investigated is the basic premise that the roof displacement of a multistory building can be determined from the deformation of a single-degree-of-freedom ~SDF! system. The responses of both systems are determined rigorously by nonlinear response history analysis, without introducing any of the approximations underlying the simplified methods for estimating the deformation of a SDF system ~see, e.g., FEMA-273 or ATC-40 guidelines! The statistics of the SDF system estimate of roof displacement are presented for a variety of generic frames and six SAC buildings subjected to ground motion ensembles. Data obtained for generic frames indicate that the first ''mode'' SDF system overestimates the median roof displacement for systems subjected to large ductility demand m, but underesti- mates for small m. The bias and dispersion tend to increase for longer period system for every value of m. Similar data for SAC buildings demonstrate that the bias and dispersion on the SDF estimate of roof displacement increases when P-delta effects ~due to gravity loads! are included. The modal pushover analysis procedure has the advantage of reducing the dispersion in the roof displacement and the underestimation of the median roof displacement for elastic or nearly elastic cases at the expense of increasing slightly the overestimate of roof displacement of buildings responding far into the inelastic range.
Thresholds for the perception of whole body angular movement about a vertical axis.

Thresholds for the detection (at p = 0.75 correct) of the direction of discrete angular movements about a vertical Z axis, having a cosine bell velocity trajectory and a duration of 3.3 s, were determined using an adaptive psychophysical procedure. In 30 subjects the mean threshold for the detection of Z axis stimuli was 1.5 deg.s-1. X and Y axis thresholds of 20 subjects had mean values of 2.04 and 2.07 deg.5(-1), respectively, and were significantly higher than Z axis thresholds. The mean Z axis threshold of 6 subjects, who viewed a visual target fixed to the turntable, was reduced by 8.6 dB over that obtained in darkness. Z axis thresholds were found to increase at 5.9 dB/decade as a function of stimulus duration over the range 0.9 to 20 s. The possible implication of this finding in relation to the dynamics of the sensory system mediating the perception of whole-body angular movement is discussed.
Link Mining for a Social Bookmarking Web Site

Social bookmarking tools enable users to save URLs for future reference, to create tags for annotating Web pages, and to share Web pages they found interesting with others. This paper presents a case study on the application of link mining to a social bookmarking Web site called del.icio. us. We investigated the user bookmarking and tagging behaviors and described several approaches to find surprising patterns in the data. We also identified the characteristics that made certain users more popular than others. Finally, we demonstrated the effectiveness of using social bookmarks and tags for predicting mutual ties between users.
Adaptive Automata Community Detection and Clustering: A generic methodology

We present in this paper a generic methodology based on genetic automata for modelling community detection. With Communities, we deal with dynamic organizations which are self-organized from two aspects, the spatial one and the functional one. We propose in this paper a general method- ology which extends cellular based modelling - like Schelling models - to more sophisticated approaches based on agent behavior modelling. These agent be- haviors are modelled by automata with multiplicities. These automata-based models allow to define pow- erful operators like genetic operators and behavioral semi-distance. Mixing these operators, we can pro- pose a complex computing, dealing with spatial self- orgnaization coupled with behavioral similarity for adaptive self-organized systems. ing and modelling communities consists in the description of spatial self-organizations, controled by some global ob- jectives. This paper presents the new way of modelling commu- nities and social systems based on complex systems ap- proach. We will start our study by cellular automata which are widely used in geographical systems modelling. One of the most currently studied communities is the re- sult of segregation Schelling model (14) is the basis of such simulations. Section 2 describes the self-organization con- cept in social systems which can be considered as the most complex ones. We present computing concepts and tools capable to produce efficient emergent computing to implement such self-organization phenomena. Section 3 describes the segregation-based models as specific spa- tial self-organization models using cellular automata and grid decomposition where basic elements are fully reactive grid cases controlled by rules-based systems. Our purpose is to deal with more sophisticated behaviors like agent- based ones. So, section 4 proposes an algebraic formalism for agent behavior based on automata with multiplici- ties, characterized by powerful operators like behavior semi-distance and genetic operators. Section 5 presents a methodology for Community detection. The general pro- cessus proposed here, is based on the following properties which deal with the characteristics of these complex dy- namic communities: (i) the process is based on an adap- tive computation; (ii) self-organized behavioral systems are automatically computed using algebraic properties of the automata formalism; (iii) a spatial self-organization detection finally results in an emergent property of the overall process. Section 6 concludes and gives the per- spectives of our work.
On the Design and Performance of an Adaptive, Global Strategy for Detecting and Mitigating Distributed DoS Attacks in GRID and Collaborative Workflow Environments

While intrusion detection systems have seen a great deal of commercialization in recent years, these products are not geared towards environments, which require support for high-performance applications and open access policy for collaboration. A second limitation of existing intrusion detection systems is their lack of flexibility to deal with the ever-evolving characteristics of the attacks, in terms of diversity and intensity. Moreover, applications in high-performance collaborative environments are very diverse, with possible extreme performance requirements. Consequently, effective strategies to detect attacks in these environments strongly depend on how closely the underlying intrusion detection mechanisms reflect the “specifics” of the application. The focus of this paper is on secure GRID and workflow environments. The purpose is to investigate a distributed defense method that can secure collaborative GRID and workflow environments and neutralize attacks before they reach their potential target en mass. To this end, the paper proposes a progressive, globally deployable sentinel scheme for data sampling, packet inspection, and DoS attack detection and recovery. A simulation framework is developed to study the performance of the proposed scheme. The results show a significant improvement in how the network deals with DoS attacks to secure GRID and workflow environments, in comparison to local DoS detection and prevention schemes.
Combined Treatment with Gabapentin and Nortriptyline Improves Pain Control in Peripheral Neuropathy More than Either Agent Alone

Setting and participants. 56 patients at 1 site with diabetic polyneuropathy or postherpetic neuralgia with a pain score of at least 4 on a 0–10 scale. Patients were randomized in a balanced Latin square design in equal proportions. All subjects received each of the 3 treatments for 6 weeks at a time—gabapentin alone, nortriptyline alone, or gabapentin and nortriptyline in combination—according to a sequence designated by the randomization. Exclusion criteria included abnormal laboratory values (creatinine, alanine aminotransferase), evidence of neuropathy or other significant pain from another cause, major organ system disease, hypersensitivity to the drugs used in the trial, and symptoms commonly found as side effects from the medications being used in the trial.