Miracle-dz/UniFAR-FTUs huggingface dataset:
Technological transformation: a case study of technology integration in a foreign language program

This study investigates the practice of technology integration in a Chinese language program in higher education in the United States. Adopting Ihde's phenomenology of instrumentation as the theoretical framework, this study views technology as a transformative and reflexive process, which not only mediates human activities but also conditions and configures the users and the surrounding social elements during the process of integration. As the practice of technology integration is complex, this study features an array of positionalities including those of a technical support person, an administrator, instructors and students. I use observations, surveys, interviews and document analysis as a basis to explore the embedded personal, social and political context in the process of technology integration. This study intends to provide both naturalistic generalizations and analytical generalizations. With thick descriptions of the contexts and rich information about the participants, the practice of technology integration is analyzed at two levels. The first phase of analysis reveals the complexity of technology integration and discusses the transformation of teaching and learning in the process of technology integration through three major issues: (a) learning a language versus getting a grade, (b) technology integration versus technology adoption, and (c) technology-based discrimination. The second phase of analysis provides a more theoretically based analysis of the case, articulates the theoretical framework, phenomenology of instrumentation, in terms of the data and addresses three major theoretical considerations: (a) hermeneutic relations, (b) background relations and (c) inclinations of technology. As technology integration poses a challenge to the quality of education regarding reaching interiority and intersubjectivity in communication, the analysis concludes with a fourth theoretical consideration, humanness in education, which is grounded upon Ong's works and evaluates the success of technology integration in the framework of humanness.
CSS-HDC: Hierarchical Document Classification by conceptual and semantic similarities

The victimization of syntactic components and semantic environment has constantly become a noteworthy issue in the milieu of data mining and information retrieval, which is in particular of text data. The effectiveness of this issue has delivered noticeably in absolutely unique tasks, such that as supervised learning of the text data. So significantly, still, extra syntactic or semantic info has become utilized only distinctively. With motivation gained from our earlier work that successfully able to define the concept labels for supervised learning, here in this paper we devise a hierarchical document categorization by conceptual and semantic relevance. The conceptual relevance is verified by concept labeling approach that devised in our earlier research article. Semantic relevance is explored by estimating the correlation between concept categories based on the activity labeling, which is main contribution of this paper. The results explored in empirical study concluding that the devised model is promising the significant classification by conceptual semantic relevance of given documents.
Measurement and Modelling of Dependencies in Economic Capital

Abstract This paper covers a number of different topics related to the measurement and modelling of dependency within economic capital models. The scope of the paper is relatively wide. We address in some detail the different approaches to modelling dependencies ranging from the more common variance-covariance matrix approach, to the consideration of the use of copulas and the more sophisticated causal models that feature feedback loops and other systems design ideas. There are many data and model uncertainties in modelling dependency and so we have also endeavoured to cover topics such as spurious relationships and wrong-way risk to highlight some of the uncertainties involved. With the advent of the internal model approval process under Solvency II, senior management needs to have a greater understanding of dependency methodology. We have devoted a section of this paper to a discussion of possible different ways to communicate the results of modelling to the board, senior management and other interested parties within an insurance company. We have endeavoured throughout this paper to include as many numerical examples as possible to help in the understanding of the key points, including our discussion of model parameterisation and the communication to an insurance executive of the impact of dependency on economic capital modelling results. The economic capital model can be seen as a combination of two key components: the marginal risk distribution of each risk and the aggregation methodology which combines these into a single aggregate distribution or capital number. This paper is concerned with the aggregation part, the methods and assumptions employed and the issues arising, and not the determination of the marginal risk distributions which is equally of importance and in many cases equally as complex.
Speech through ears and eyes: interfacing the senses with the supramodal brain

The comprehension of auditory-visual (AV) speech integration has greatly benefited from recent advances in neurosciences and multisensory research. AV speech integration raises numerous questions relevant to the computational rules needed for binding information (within and across sensory modalities), the representational format in which speech information is encoded in the brain (e.g. auditory vs. articulatory), or how AV speech ultimately interfaces with the linguistic system. The following non-exhaustive review provides a set of empirical findings and theoretical questions that have fed the original proposal for predictive coding in AV speech processing. More recently, predictive coding has pervaded many fields of inquiries and positively reinforced the need to refine the notion of internal models in the brain together with their implications for the interpretation of neural activity recorded with various neuroimaging techniques. However, it is argued here that the strength of predictive coding frameworks reside in the specificity of the generative internal models not in their generality; specifically, internal models come with a set of rules applied on particular representational formats themselves depending on the levels and the network structure at which predictive operations occur. As such, predictive coding in AV speech owes to specify the level(s) and the kinds of internal predictions that are necessary to account for the perceptual benefits or illusions observed in the field. Among those specifications, the actual content of a prediction comes first and foremost, followed by the representational granularity of that prediction in time. This review specifically presents a focused discussion on these issues.
Assessing Student Learning in Community College Honors Programs Using the CCCSE Course Feedback Form

Academically talented students with impressive placement scores are enrolling at community colleges in increasing numbers. The economy has certainly played a role in this migration to two-year institutions, where students can commute from home and pay lower tuition rates, but other factors have also contributed to the change. Community colleges have expanded their mission to meet the academic needs of this population (Marklei; Boulard), and articulation agreements between community colleges and universities have improved over the years (Kane). More two-year institutions are offering honors programs for the academically gifted students who will eventually transfer to four-year universities (Beck). The benefits to community colleges of developing and sustaining honors programs are many; according to Bulakowski and Townsend, they include: (a) greater learning potential for strong academic students; (b) higher retention of well-prepared students; (c) higher transfer rates for honors students; (d) enhancement of the institution’s public image; and (e) increased respect from four-year institutions (Beck; Bulakowski and Townsend; Boulard).
Evaluation of fungicides against Fusarium oxysporum ciceri causing chickpea wilt

Chickpea (Cicer arietinum L), also known as Gram or Bengal gram, is the third most important pulse crop after bean (Phaseolus vulgaris L) and pea (Pisum sativum L) on world basis, but is of prime importance in the Mediterranean basin and South Asia. The crop is vulnerable to a number of air-borne and soil-borne diseases, some of which are devastating. Chickpea suffers from 172 pathogens consisting of fungi, bacteria, viruses and nematodes. The soil borne diseases, which severely damage the chickpea under favourable conditions are wilt caused by Fusarium oxysporum ciceri, dry root rot caused by Rhizoctonia bataticola and collar rot caused by Sclerotium rolfsii. In the present study fungicides were tested under lab condition, to know relative efficacy against the management of wilt disease.
Receive Antenna Subsets Selection Based on Orthogonal Componts

Multiple-antenna wireless communication systems have recently attracted significant attention due to their higher capacity and better immunity to fading as compared to systems that employ single-sensor transceiver. Increasing the number of transmit and receive antennas enables to improve system performance but at the price of higher hardware cost and computational burden due to the multiple RF chains. Antenna selection is a low-cost lowcomplexity alternative to capture many of the advantages of MIMO systems. In this paper, we propose a new antenna selection algorithm with low complexity for wireless multiple-input multiple-output (MIMO) systems. The new algorithm is based on the orthogonal components of the rows of channel matrix. It achieves almost the same outage capacity as the optimal selection method while keeping lower computational complexity. The simulation results for quasi-static Rayleigh flat fading channel demonstrate the significant performance of the proposed selection algorithm
Octahedral arrangement of trans-bis­(di­phenyl­propane­dionato)­bis(o-phenyl­enedi­amino)­zinc(II)

The title compound, [Zn(C15H11O2)2(C6H8N2)2], consists of a square-planar ZnIIO4 array, with two mol­ecules of axially coordinated 1,2-phenyl­enedi­amine. The Zn atom is located on a centre of symmetry. The monodentate trans arrangement of the di­amine mol­ecules results in the overall octahedral geometry. The phenyl groups adopt a butterfly-like conform­ation in relation to the ketoenolate frame. There are intramolecular N—H⋯O and intermolecular N—H⋯N hydrogen bonds; the N⋯O and N⋯N distances are 3.130 (4) and 3.323 (5) A, respectively.
Page-Level Behavior of Cache Contention

Cache misses in small, limited-associativityprimary caches very often replace live cache blocks, giventhe dominance of capacity and conflict misses. Towardsmotivating novel cache organizations, we study thecomparative characteristics of the virtual memoryaddress pairs involved in typical primary-cachecontention (block replacements) for the SPEC2000integer benchmarks. We focus on the cache tag bits, andresults show that (i) often just a few tag bits differbetween contending addresses, and (ii) accesses to certainsegments or page groups of the virtual address space (i.e.certain tag-bit groups) contend frequently. Cacheconsciousvirtual address space allocation can furtherreduce the number of conflicting tag bits. We mentiontwo directions for exploiting such page-level contentionpatterns to improve cache cost and performance.
Multiuser decision-feedback detection: performance bounds and adaptive algorithms

Multiuser decision-feedback detection has been previously considered for DS-CDMA. Here we evaluate asymptotic MSE and capacity (averaged over the users) of the multiuser decision-feedback detector (DFD) in the absence of error propagation. Asymptotic means that the number of users K/spl rarr//spl infin/ and the processing gain N/spl rarr//spl infin/ with K/N fixed. The resulting capacity is the same as that achieved with optimal detection. (This is also true for finite K and N.) We also present and compare adaptive stochastic gradient and least squares algorithms for updating the DFD coefficients without explicit knowledge of channel state information.
Demotivation in Japanese high schools

This paper presents a motivation study designed to determine the demotivating factors affecting Japanese high school students studying English. Dornyei (2001) defines a demotivated learner as “someone who was once motivated but has lost his or her commitment/interest for some reason” (p. 142). There have been several studies conducted in Japan based on Dornyei’s research. These earlier studies found several demotivating factors, however, the participants were mostly university students, and few studies have investigated demotivation in high school students. Therefore, the writers conducted this research project to determine the primary demotivating factors for Japanese high school students and the roots of those factors. The questionnaire results show five interesting reasons for demotivation, and the subsequent interviews explored these reasons more deeply. The writers reflect on the outcomes, discuss implications, and suggest steps for further investigation.
Exploiting Machine Learning for Comparative Sentences Extraction

This paper studies the problem of extracting Chinese comparative sentences from user reviews, which is a problem of text classification in the level of sentence. This paper first deals with the class skewed problem of review data, and then builds a SVM (support vector machine) model to classify comparative and non-comparative sentences into different groups on a balanced dataset. Various linguistic and statistical features are introduced to characterize a sentence. Experiments were conducted on user-generated product reviews. As a result, our experiments show significant performance, an overall Fscore of 85.87%.
Performance Enhancement of AODV with Distributed-DSR Routing Protocol in Manet

The proposed system introduces a Distributed Dynamic Source Routing (D-DSR) protocol to secure the network effectively which can inhibit the attacker from copying response of the packets. A multi-path secured routing scheme is used in the work. Reliability and performance of the protocol is measured through packet delivery ratio, attack prevention efficiency, path optimality and routing packet overhead. The results obtained exhibits high security and low false alarm rate.
Feedback adaptation in web-based learning systems

Feedback provided by a learning system to its users plays an important role in web-based education. This paper presents an overview of feedback studies and then concentrates on the problem of feedback adaptation in web-based learning systems. We introduce our taxonomy of feedback concept with regard to its functions, complexity, intention, time of occurrence, way of presentation, and level and way of its adaptation. We consider what can be adapted in feedback and how to facilitate feedback adaptation in web-based learning systems.
CREDIT, LPG STOVE ADOPTION AND CHARCOAL CONSUMPTION: EVIDENCE FROM A RANDOMIZED CONTROLLED TRIAL

The high start-up cost of modern cooking appliances has been shown to be the key factor that hinders transition of households from biomass energy to clean energy in developing countries. We designed a randomised controlled trial to identify the impact of relaxing households’ liquidity constraints on LPG stove adoption and charcoal use in urban Tanzania. In collaboration with a local micro-finance institution, we randomly assigned households into a subsidy treatment and a credit treatment, which included different repayment arrangements. We show that relative to households in the control group, adoption of LPG stoves reduced charcoal use by 47.5% in the treated group. However, providing subsidies for stove purchases resulted in a much larger reduction in charcoal use (54%) than did providing access to credit (41%). We highlight the importance of relaxing households’ financial constraints and improving access to credit to encourage urban households to switch to clean energy sources and save the remaining forest resources of Africa. JEL Classification: G21, G31, O10, O13, Q23, Q51.
The Effect of Meditation and Music Listening on The Anxiety Level, Operation Tolerance and Pain Perception in People Who Were Performed Colonoscopy

Background:This study was conducted to determine the effect of meditation and music concert practices on the anxiety levels, operation tolerance and pain percep tion in the people who were performed colonoscopy. Objective:The study was conducted at Gastroenterology Science Department, Endoscopy Unit of a University Hospital. Metods: Total 60 people, as 30 for study, 30 for control g r up, constituted of sample of the study. Consent w as taken from the endoscopy unit and also verbal and w ritten consents from the participants were taken be fore the study. In the study group, meditation was performed for 10-15 minutes before colonoscopy and the music whi h they choose, was listened during the operation. Results: It is seen that the people in study group need les s s dative medicine, they were more compliant and their pain score means after the operation were les s (p>0.05). Also, it is found that the state and tr ait anxiety scores of the study group were less from the contro l group after the operation, as significantly (p<0. 01) Conclusion: It is found that when patients were listened music that they like during colonoscopy and yoga exercises were effective on relaxing, decreasing th eir anxiety, having operation without pain, decreas ing medicine doses, getting shorter of operation.
On Parsing Context Free Languages in Parallel Environments

Non-canonical generalization of several bottom-up parsing methods, including Simple Precedence, LR(k), SLR(k), and LALR(k) are considered. It is seen that these methods can readily be made to generate many concurrent reductions and thus can be used to advantage in parallel environments. it is suggested that such methods could be used to produce practical parsers for such parallel computers as the CDC Star-100. Further, the grammar classes defined by these parallel methods are studied and compared with the grammar classes defined by a number of serial parsing techniques.
An Efficient Implementation of the Entire Transforms in the H.264/AVC Encoder using VHDL

The H.264/AVC standard achieves remarkable higher compression performance than the previous MPEG and H.26X standards. One of the computationally intensive units in the MPEG and H.26X video coding families is the Discrete Cosine Transform (DCT). In this paper, we propose an efficient implementation of the DCT, inverse DCTs and the Hadamard transforms in the H.264/AVC encoder using VHDL. The synthesis results indicate that our implementation of the entire transforms achieves lower power, delay and area consumption compared to the existing architectures in the H.264/AVC encoder.
Erosion and rift dynamics : new thermomechanical post-rift evolution of extensional basins

In this study, we investigate thermo-mechanical consequences of erosion of rift shoulders. Conventional models imply post-rift cooling that results in subsidence and strengthening of the lithosphere. Existing models neglect geodynamic consequences of surface processes (erosion and sedimentation). According to sedimentologic and geomorphologic data, surface processes modify the topography and thickness of sedimentary infill at rates comparable with the rates of the tectonic uplift/subsidence (few 0.1 mm/y). Consequently, a coupling between the surface and tectonic processes can be expected. An increase of the sedimentary load leads to localised inelastic weakening of the lithosphere. At the same time, erosional unloading of rift shoulders leads to local strengthening and flexural rebound. Subsidence of the rift “neck” (strongest layer of the thinned lithosphere) and uplift of the rift shoulders create pressure gradients sufficient to drive ductile flow in the low-viscosity lower crust. This flow, directed outward from the centre of the basin might facilitate uplift of the rift shoulders. It may even drive some post-rift “extension”. In the limiting case of slow erosion and sedimentation rates, gravitational stresses can reverse the flow, resulting in a retardation of basin subsidence rate, homogenisation of the crustal thickness, accelerated collapse of the shoulders and in some post-rift “compression”. These effects significantly change predictions of basin evolution inferred from the conventional back-stripping models.
How perceived risk affects online buying

Purpose – The purpose of this paper is to suggest a model that reflects the role that web site cognitive and experiential signals, firm reputation, bricks‐and‐mortar experience, and consumer satisfaction play as determinants of trust in the web site, taking into account the moderating effect of consumer‐perceived risk when buying online.Design/methodology/approach – The investigation uses quantitative research methods. Data collected from interviews with 507 Spanish online buyers are analysed through structural equation modelling.Findings – Internet users who buy online more frequently can trust a web site only based on their previous satisfaction, whereas users who perceive more risks need to perceive that the firm has a good reputation and bricks‐and‐mortar experience apart from other signals such the quality of the service.Practical implications – The results show interesting implications for online vendors, who should apply different commercial strategies to potential buyers according to the level of .
Digital WPI Major Qualifying Projects ( All Years ) Major Qualifying Projects June 2009 Analysis of MIG-10 interactors

2 Acknowledgments . 3 Introduction . 8 Cell migration and axon guidance in nervous system development . 8 C. elegans as a Model Organism . 9 MIG-10 . 9 Other candidates for proteins in the MIG-10 pathway . 12 Goals . 13 Materials and Methods . 14 Maintaining Strains . 14 Genetic Crosses . 15 Marker strains . 15 abi-1; flp-20:GFP . 16 dpy-5;lin-53;flp-20::GFP and dpy-5;lin-53;pgp-12::GFP . 17 mig-10; unc-53;pgp-12:GFP Double mutant . 18 PCR Confirmation . 19 10 Worm PCR . 20 PCR Primers . 20 PCR analysis . 21 ALM Migration Assay . 21 Statistical Analysis . 21 Results . 23 Genetic mutants were constructed in order to observe in vivo effects of certain mutations on cell migration . 23 Abi-1 shows an effect on neuronal cell migration . 23
Coprophilic dipteran community associated with horse dung in Malaysia

Blood-sucking flies are known as vectors of pathogens to farm animals worldwide. However, little is known about dipteran biodiversity associated with horse dung in Malaysia which could serve as vectors. Thus, a field trip to a horse farm located in Tanjung Rambutan, Perak, peninsular Malaysia was conducted in 2010. We examined adults and larvae of dipterans associated with 100 horse dung pats. A total of 1480 dipteran specimens from nine families were collected including Sphaeroceridae, Muscidae, Sarcophagidae, Calliphoridae, Sepsidae, Tabanidae, Ulidiidae, Dolichopodidae and Milichiidae. The lesser dung fly (Sphaeroceridae) which consisted of four species was the most abundant dipteran followed by sarcophagids and muscids. Seven species of muscids were collected from the horse farm and three of them were haematophagic namely Musca conducens Walker, 1859, Musca ventrosa Wiedemann, 1830 and Stomoxys calcitrans (Linnaeus, 1758). Fly larvae collected from the dung were raised to adult stage and subsequently identified as M. conducens and Neomyia gavisa Walker, 1859. We reported new locality records for three species of Muscidae in Malaysia namely Pyrellia proferens Walker, 1859, Lispe kowarzi Becker, 1903 (new to peninsular) and N. gavisa Walker, 1859.