Miracle-dz/UniFAR-FTUs huggingface dataset:
Efficient Deep Auto-Encoder Learning for the Classification of Hyperspectral Images

Hyperspectral Image (HSI) classification is one of the most pervasive issue in hyperspectral remote sensing field. Deep learning is an efficient learning algorithm that has been recently applied to HSI classification. This paper proposes a new spectralspatial HSI classification method based on the deep features extraction using stacked-auto-encoders (SAE) and unsupervised HIS segmentation. Specifically, first the SAE model is exploited as a classical spectral information-based classifier to extract the deep features. Second, spatial dominated information is extracted by using effective boundary adjustment based segmentation technique. Finally, maximum voting criteria is used to merge the extracted spectral and spatial features, which results into the accurate spectral-spatial HSI classification. Experimental results with widely-used hyperspectral data confirms that the new spectral and spatial classification approach is able to improve results significantly in terms of classification accuracies.
Enterprise Talk: A Handrail to Integrity and Authenticity.

Defining teaching as "the way we bring ourselves to the learners" at the current moment, this paper describes "Enterprise Talk," a measurable, practical guide for talking to children in times of difficulty and responding with effective positives. After discussing how teachers teach (i.e., teachers model; teachers inform; teachers respond positively to what they value), the paper talks about ineffective habits that are barriers to establishing a positive relationship between teacher and learner. The paper then discusses implementation of Enterprise Talk to help teachers set aside these ineffective habits. The components of Enterprise Talk are described, including prohibitions (i.e., no directions, no questions, and no praise) and guides for speaking and supporting behavior (i.e., descriptions, narrations, self-talk, non-verbal recognition, intrinsically phrased rewards, and descriptive cue sequence). The paper concludes by noting that Enterprise Talk reminds teachers to model, inform, and respond positively to what they value. (Author/HTH) Reproductions supplied by EDRS are the best that can be made from the on inal document.
Icsc 2006 Dynamics in Spatial Interactions Image Representation, Scaling and Cognitive Model of Object Perception

Neuropsychological investigations of visual imagery and representations have led to a deeper understanding of the spatial perception, representation and memory. But how each individual perceives object's geometrical properties and how they differ from person to person, both under event-related memory and normal recollecting memory in the presence or in the absence of direct sensory stimulation is still unclear. Spatial knowledge is diverse, complex, and multimodal, as are the situations in which it is used. All seem to agree that a cognitive map is a mental representation of an external environment. The image scaling is important in understanding the psychological dysfunctions of patients suffering from spatial cognition problems. The scaling becomes self-evident in art forms, when people are asked to draw image of objects they see actively or from their short or long term memory. In this paper we develop a comprehensive model of this scaling factor and its implications in spatial image representation and memory. We also extend its notion in understanding the perception of objects whose representations are normally not possible (like the perception of universal scales, infinities and parallel lines) but are well comprehended by the human brains. Here we give a scaling factor which is variable depending on the situations for a person based on his visual memory and drawing capabilities. And then extend it to analyse his cognitive strengths, disorders and any imperfections. This model also helps in formalizing the architectural cognitive maps needed to change the scaling factor, depending on the types of visual works one performs.
Contrasting longitudinal and cross‐sectional relationships between insulin resistance and percentage of body fat, fitness, and physical activity in children—the LOOK study

Background: Knowledge of individual changes in insulin resistance (IR) and longitudinal relationships of IR with lifestyle‐associated factors are of important practical significance, but little longitudinal data exist in asymptomatic children. We aimed to determine (a) changes in the homeostatic model of insulin resistance (HOMA‐IR) over a 2‐yr period and (b) comparisons of longitudinal and cross‐sectional relationships between HOMA‐IR and lifestyle‐related risk factors.
Factors Influencing Motivation and De-Motivation in Mexican EFL Teachers.

It is observed that teacher motivation can change drastically over the course of an individual teacher's career. This is particularly the case in Mexico with regard to teachers of English as a Foreign Language (EFL), because the situation and role of Mexican EFL teachers has changed so significantly--especially in the wake of the passage of the NAFTA agreement. The outdated, grammar-based curriculum of EFL in Mexico was replaced with an entirely new and different communicative-based one. During this time the workload of teachers has increased enormously, although neither their salaries nor the quality of the physical infrastructure in which they work has been correspondingly upgraded. This has led to a decline in overall teacher morale and attitude. The basic premise of this study is that a motivated teacher provides more motivating learning experiences in the classroom and thus produces better-prepared students than unor less-motivated teachers. This paper considers the motivating and de-motivating factors for Mexican EFL teachers. Questionnaire from study is appended. (Contains 12 references and 3 tables.) (KFT) Reproductions supplied by EDRS are the best that can be made from the original document. Factors Influencing Motivation and De-Motivation in Mexican EFL Teachers Connie R. Johnson, Universidad de las Americas-Puebla U.S. DEPARTMENT OF EDUCATION Office ol Educational Research and Improvement EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) 73. This document has been reproduced as eceived from the person or organization originating it. 0 Minor changes have been made to improve reproduction quality. Points of view or opinions stated in this document do not necessarly represent official OERI position or policy. 1 PERMISSION TO REPRODUCE AND DISSEMINATE THIS MATERIAL HAS BEEN GRANTED BY
Combining Relational and Distributional Knowledge for Word Sense Disambiguation

We present a new approach to word sense disambiguation derived from recent ideas in distributional semantics. The input to the algorithm is a large unlabeled corpus and a graph describing how senses are related; no sense-annotated corpus is needed. The fundamental idea is to embed meaning representations of senses in the same continuous-valued vector space as the representations of words. In this way, the knowledge encoded in the lexical resource is combined with the information derived by the distributional methods. Once this step has been carried out, the sense representations can be plugged back into e.g. the skip-gram model, which allows us to compute scores for the different possible senses of a word in a given context. We evaluated the new word sense disambiguation system on two Swedish test sets annotated with senses defined by the SALDO lexical resource. In both evaluations, our system soundly outperformed random and first-sense baselines. Its accuracy was slightly above that of a wellknown graph-based system, while being computationally much more efficient.
Draft Genome Sequence of Halophilic Hahella sp. Strain CCB-MM4, Isolated from Matang Mangrove Forest in Perak, Malaysia

ABSTRACT Hahella sp. strain CCB-MM4 is a halophilic bacterium isolated from estuarine mangrove sediment. The genome sequence of Hahella sp. CCB-MM4 provides insights into exopolysaccharide biosynthesis and the lifestyle of the bacterium thriving in a saline mangrove environment.
Detecting articulatory compensation in acoustic data through linear regression modeling

Examining articulatory compensation has been important in understanding how the speech production system is organized, and how it relates to the acoustic and ultimately phonological levels. This paper offers a method that detects articulatory compensation in the acoustic signal, which is based on linear regression modeling of co-variation patterns between acoustic cues. We demonstrate the method on selected acoustic cues for spontaneously produced American English stop consonants. Compensatory patterns of cue variation were observed for voiced stops in some cue pairs, while uniform patterns of cue variation were found for stops as a function of place of articulation or position in the word. Overall, the results suggest that this method can be useful for observing articulatory strategies indirectly from acoustic data and testing hypotheses about the conditions under which articulatory compensation is most likely.
Value based requirements creation for electronic commerce applications

Electronic commerce applications have special features compared to conventional information systems. First, because electronic commerce usually involves yet nonexisting business activities, requirements for e-commerce applications have to be created from scratch rather than elicited. Second, design decisions about e-business models and the associated information systems architecture cannot be sequentially made in a decoupled way, because business and technology considerations are strongly linked. On these counts, current methodology for requirements engineering is inadequate for electronic commerce applications. We outline a structured approach to e-commerce requirements creation. This e/sup 3/-VALUE approach enables one to clarify business model decisions to be made by management, by modelling the end-to-end value activities and exchanges in the e-commerce stakeholder network. In addition, this value network model enables system developers to derive high-level requirements concerning the software architecture.
INHIBITION OF MICROBIAL GROWTH AND SEPARATION BY d-SERINE, VANCOMYCIN, AND MITOMYCIN C

Durham, Norman N. (Oklahoma State University, Stillwater). Inhibition of microbial growth and separation by d-serine, vancomycin, and mitomycin C. J. Bacteriol. 86:380–386. 1963. —A study was made of the growth and separation inhibition of Pseudomonas fluorescens by vancomycin and mitomycin C and of a Flavobacterium sp. sensitive to mitomycin C and d-serine. Aberrant morphological forms (primarily “boat-shaped” cells and “chain-like” filaments) were observed during growth of the sensitive organism in the presence of the inhibitors. Reversal studies indicated that Mg++, and to a lesser extent Mn++, partially reversed vancomycin and mitomycin C growth inhibition during the early stages of growth but did not influence d-serine inhibition. Selected metabolites also showed a tendency to partially reverse mitomycin C and vancomycin inhibition of growth during the initial growth phase, and the differences in reversal trends suggested that d-serine, vancomycin, and mitomycin C produce metabolic lesions at different sites in the cell with respect to growth. Cultivation of the sensitive organism in low concentrations of the inhibitors resulted in a structurally fragile population, indicating formation of a defective cell structure. Mg++ partially reversed the vancomycin inhibition of separation in these organisms. None of the other metals or metabolites, either singly or in varied combinations, was able to reverse inhibition of separation by the various inhibitors.
Reducing data cache energy consumption via cached load/store queue

High-performance processors use a large set-associative L1 data cache with multiple ports. As clock speeds and size increase such a cache consumes a significant percentage of the total processor energy. This paper proposes a method of saving energy by reducing the number of data cache accesses. It does so by modifying the load/store queue design to allow "caching" of previously accessed data values on both loads and stores after the corresponding memory access instruction has been committed. It is shown that a 32 entry modified LSQ design allows an average of 38.5% of the loads in the SpecINT95 benchmarks and 18.9% in the SpecFP95 benchmarks to get their data from the LSQ. The reduction in the number of Ll cache accesses results in up to a 40% reduction in the L1 data cache energy consumption and in an up to a 16% improvement in the energy-delay product while requiring almost no additional hardware or complex control logic.
Redundant Mitochondrial Targeting Signals in Yeast Adenylate Kinase*

Yeast adenylate kinase (Aky2p, Adk1p) occurs simultaneously in cytoplasm and mitochondrial intermembrane space. It has no cleavable mitochondrial targeting sequence, and the signal for mitochondrial import and submitochondrial sorting is largely unknown. The extreme N terminus of Aky2p is able to direct cytoplasmic passengers to mitochondria. However, an Aky2 mutant lacking this sequence is imported with about the same efficiency as the wild type. To identify possible import-relevant information in the interior, parts of Aky2p were exchanged by homologous in vitrorecombination for the respective segments of the purely cytoplasmic isozyme, Ura6p. Import studies revealed an internal region of about 40 amino acids, which was sufficient to direct the chimera to mitochondria but not for correct submitochondrial sorting. The respective Ura6p hybrid was arrested in the mitochondrial membrane at a position where it was inaccessible to protease but was released by alkaline extraction, suggesting that it had entered an import channel and passed the initial steps of recognition and uptake. Site-specific mutations within the presumptive address-specifying segment identified the amphipathic helix 5. A Ura6 mutant protein in which helix 5 had been replaced with the respective sequence from Aky2p was imported, and this address sequence cooperates with the N terminus in the respective double mutant in a synergistic fashion.
Common Friends Discovery with Privacy and Authenticity

In this paper, we propose a common friend discovery algorithm considering the privacy of users and the authenticity of friend relationships. The privacy means users’ other friends’ information does not be leaked except their common friends. The authenticity signifies anyone can not successfully claim he is a friend of someone unless he really is. It has many applications such as playing games by friends, finding talking-topics by strangers, finding introducer of job interview, finding matchmaker of someone you desire to know, etc. We consider its security and matching probability. We also implement the algorithm in two mobile phones to prove that it is workable.
Multidirectional and multizonal tangential migration of GABAergic interneurons in the developing cerebral cortex

Most GABAergic interneurons originate from the basal forebrain and migrate tangentially into the cortex. The migratory pathways and mode of interneuron migration within the developing cerebral cortex, however, previously was largely unknown. Time-lapse imaging and in vivo labelling with glutamate decarboxylase (GAD)67-green fluorescence protein (GFP) knock-in embryonic mice with expression of GFP in gamma-aminobutyric acid (GABA)ergic neurons indicated that multidirectional tangential (MDT) migration of interneurons takes place in both the marginal zone (MZ) and the ventricular zone (VZ) of the cortex. Quantitative analysis of migrating interneurons showed that rostrocaudally migrating neurons outnumber those migrating mediolaterally in both of these zones. In vivo labelling with a lipophilic dye showed that the MDT migration in the MZ occurs throughout the cortex over distances of up to 3 mm during a period of a few days. These results indicate that MZ cortical interneurons undergo a second phase of tangential migration in all directions and over long distances, after reaching the cortex by dorsomedial tangential migration. The MDT migration in the MZ may disperse and intermix interneurons within the cortex, resulting in a balanced distribution of interneuron subtypes.
Small airways dysfunction in long‐term survivors of pediatric stem cell transplantation

Chronic graft‐versus‐host disease (cGvHD) in the lungs is a life‐threatening complication of allogeneic hematopoietic stem cell transplantation (HSCT). Pulmonary cGvHD is initiated in the peripheral airways, and diagnosis may be delayed by low sensitivity of standard pulmonary function tests. Multiple breath nitrogen washout (MBWN2) is a promising, sensitive method to assess small airways function. This is the first report on MBWN2 in survivors of pediatric HSCT.
The comparisons of four methods for financial forecast

With the development of economy and the change of people investing consciousness, financial investment has become an important issue currently. Therefore, the financial prediction becomes an important investment tool to financial investors. Stock prediction plays a crucial role in a wide range of forecast in the financial market. It can also be extended to other fields of the financial forecast. In this paper, current stock forecasting methods are introduced first. Then a variety of prediction models are mainly introduced, which are the current popular four kinds of methods: BPN (back propagation network), ELMAN, SVM (support vector machine) and WNN (wavelet neural network). The cross validation method is added to find the optimal parameters in these four methods. Experiments with three different kinds of stocks are conducted to verify these four methods. The advantages and limitations of these methods are given by analyzing and comparing the experiment results.
Real-time Robust Detection of Planar Regions in a Pair of Images

This work presents a method for segmenting image patches which correspond to planar regions in the scene. The method consists of an efficient and robust solution for detecting multiple planar regions in a global optimal sense. Moreover, in contrast with existing techniques which also work on intensity images, neither assumptions about the scene are made nor heuristic hypotheses are formulated. More specifically, the proposed method is based on a systematic, progressive voting procedure from the solution of a linear system, which exploits the two-view geometry. Hence, besides avoiding intermediary depth maps, the progressive mechanism together with such a convergence mapping drastically reduce the computational and storage complexities of the approach. Results from both synthetic and real-world scenes in different scenarios and under various kinds of strong noise confirm its effectiveness and robustness against large camera calibration errors and to the presence of outliers
A Security Quantitative Analysis Method For Access Control Based on Security Entropy

This paper has proposed a quantitative analysis method based on security entropy to work out the problem of quantitative analysis in classicatory information systems. Firstly, the security theorems of classicatory information systems have been dened, the uncertainty for the system’s determinations on the irregular access behaviors by means of the theory of security entropy have been calculated. Then a security quantitative analysis method has been proposed. By the security method, the typical access control models have been analyzed, security and applicability of these models have been compared. Finally, the method’s practicability is validated and has been proved to be suit for security quantitative analysis on access control model and evaluation to access control capability in information system.
Algorithm for documents ranking: idea and simulation results

In the framework of a study, which investigated implementation of a model for displaying search results, the possibility of ranking documents that appear in a list of search results was examined. The purpose of this paper is to present the concept of using mutual references between documents as a tool for ranking documents, and to present the findings of a study that investigated the applicability of the concept.
Partition of an entity with aspectuo-temporal operators

This paper studies French and English discourses which describe the partition of an entity through aspectuo-temporal operators, namely verbs such as commencer (par) [begin by/with] or adverbs such as ensuite [next]. These aspectuo-temporal operators require a linear order which can be found in the qualia structure of the entities they partition.
An improved active measurement algorithm based on stab for low available bandwidth

Two key issues in active measurement are veracity and low injection traffic sent by measurement tool. The Spatio-Temporal Available Bandwidth (STAB) can obtain accurate available bandwidth on end-to-end network paths when available bandwidth is relative high. But this method may not run well when the bottleneck capacity or available bandwidth of a path is low. This paper proposes an improved active measurement algorithm based on STAB to obtain more accurate available bandwidth and reduce sent traffic under the condition that the available bandwidth or bottleneck capacity is low. Experiments show that the improved algorithm can greatly provide high veracity and reduce the measurement traffic when the available or bottleneck capacity is low.
Effect of polyenic antibiotics on Ehrlich ascites and Novikoff hepatoma cells.

Summary The incorporation of thymidine in Novikoff hepatoma cells and Ehrlich ascites cells was severely and irreversibly inhibited by the polyenic antibiotics filipin and lucensomycin, known for their action on phospholipid-cholesterol membranes. No inhibition could be shown on regenerating liver cells or on acellular preparations from tumor cells. Despite the well-known site of action of these antibiotics on cell membranes, which was ascertained by 51 Cr efflux, transcellular migration of glutamate- 14 C through neoplastic cells was not affected. The cells, however, became unable to exclude the acidic dyes used for viability tests. With the use of appropriate concentrations of the polyenes, the uptake of the dye was limited to the nucleus. This behavior was paralleled by a shift in the pH of the transition from orthochromatic to metachromatic staining of the nucleus after methanol fixation.
Approximating solution structure of the Weighted Sentence Alignment problem

We study the complexity of approximating solution structure of the bijective weighted sentence alignment problem of DeNero and Klein (2008). In particular, we consider the complexity of finding an alignment that has a significant overlap with an optimal alignment. We discuss ways of representing the solution for the general weighted sentence alignment as well as phrases-to-words alignment problem, and show that computing a string which agrees with the optimal sentence partition on more than half (plus an arbitrarily small polynomial fraction) positions for the phrases-to-words alignment is NP-hard. For the general weighted sentence alignment we obtain such bound from the agreement on a little over 2/3 of the bits. Additionally, we generalize the Hamming distance approximation of a solution structure to approximating it with respect to the edit distance metric, obtaining similar lower bounds.
ELSST: a broad-based Multilingual Thesaurus for the Social Sciences

This paper describes the motivation for, and methodology behind the creation of ELSST (European Language Social Science Thesaurus), a broad-based multilingual thesaurus for the social sciences. The thesaurus was produced by the UK Data Archive (UKDA) as part of the EU-funded LIMBER (Language Independent Metadata Browsing of European Resources) project and was derived from their in-house English monolingual thesaurus, HASSET (Humanities and Social Science Electronic Thesaurus). The multilingual thesaurus is currently available in four languages English, French, German and Spanish and in various formats, including RDF (Resource Description Framework).