Miracle-dz/UniFAR-FTUs huggingface dataset:
Reflective Writing: A Discussion on Definition, Theory, Levels and Application

This paper explores the topic of reflective writing for English language learners. There are four aspects of reflective writing discussed: definition, theory, levels and application. There are many definitions of the term ‘reflective’, most are generally based on an emphasis of using past experiences for future reference. Learner autonomy and learning process are related factors to explain the usefulness of reflective writing. The author found that the revised version of Bloom’s taxonomy by Anderson and Krathwohl (2001) can be used as a framework to scale the levels of reflection in order to serve both students’ self-evaluations and teachers’ evaluations. The application of reflective writing is suitable for most any kinds of learning under the condition of mutual understanding between teachers and learners
Information Technology Infrastructure Capability's Impact on Firm Financial Performance: An exploratory Study

This paper explores the relationship between information technology infrastructure capabilities and firm performance. Return on sales is utilized as the measure of firm performance, due to its ability to indicate a firm's competitive advantage and resource/competitive flexibility. Utilizing existing measures an instrument was used which addressed the multiple dimensions of IT infrastructure. Eight factors were found to significantly effect return on sales. Modularity, technical specialty knowledge, support activity efficiency, and resource acquisition functionality positively effected firm performance. While primary activity efficiency, resource management functionality, threat and premptiveness positively effected firm performance. Empirical evidence is provided and theoretical explanations are explored. Finally, limitations of the study as well as future research are discussed.
Constituent Ordering in Spoken Japanese

In speaking, the speaker has a general idea about what they are going to talk about. They know how to form a grammatical sentence, and they know what grammatical roles they are going to assign to who and what. In a language like Japanese where the assignment of grammatical roles does not involve constituent ordering, the speaker has to decide in which constituent ordering they deliver the sentence. For example, when Japanese speakers want to say “Fred saw John”, they first assign case particles, possibly the nominative case particle ga for “Fred” and the accusative case particle o for “John”. The speaker then has to decide in which order, Fred-ga John-o or John-o Fred-ga, they will deliver the sentence. I first investigate three factors that are pertinent to the choice of one constituent ordering over another: recency of previous mentions, cataphoric persistence and syntactic heaviness of the constituent. Recency is quantified by Referential Distance (RD), cataphoric persistence by Topic Persistence (TP), and syntactic heaviness by Syntactic Weight (SW). The relative measurement of RD, TP and SW between the two constituents in question indicates that the constituent with a lower RD, a higher TP or a higher SW tends to come before the constituent with a higher RD, a lower TP or a lower SW. Based on the patterns between factors and the earlier position, algorithms are formulated to examine if the algorithms can correctly predict the ordering choice between SOV and OSV. Applying the algorithms to the data shows not only that single predictors, RD, TP and SW, can make correct predictions, but also that the combination of three predictors can predict with a higher success rate than the single predictor or the combination of two
Online Learning And Academic Support Centers: How Synchronous Support Opportunities Affect Graduate Students’ Interaction With The Content

This study analyzed the effects of live academic support sessions on online graduate students’ interaction with the course content. This was accomplished through qualitative methods of data collection and analysis. In-depth interviews with eight purposely selected online graduate students provided the textual data. Through a systematic framework analysis of the data garnered through interview, it was found that students did perceive the live interactions as being especially effective in improving their interactions with the course content. Students partially attribute the effectiveness to connections made between the students and university stakeholders. This study also revealed that students recognize initial student distress using new technology can be resolved with guided practice. Also uncovered in this study were the students’ perceptions of staff behaviors and characteristics as being influential in their interactions with the content. Finally, it was discovered that all meeting types (writing support, content tutoring, and learning strategies) were all understood to be valuable from student perspective. The study concluded that live interaction plays a positive role in student interaction with the course content and recommended universities employ live interaction opportunities between their online graduate students and the academic support department. iii University of New England Doctor of Education Educational Leadership This dissertation was presented by
Understanding Design Iteration: Representations from an Empirical Study

Design is a cornerstone of the engineering profession and a prominent feature in how we educate engineers and accredit engineering programs. Design problems are often ambiguous, ill-structured, and may have multiple solutions. As a result, a designer’s understanding of the problem or possible solutions evolves through a process of iteration. Iteration is a symbolic feature in design models that represents a process of revisiting and resolving design conflicts. Although iteration is considered an integral part of design activity and a natural attribute of design competency, there is little research that explicitly operationalizes or represents iterative activity. The purpose of this paper is to provide and discuss theoretically meaningful representations of iteration in engineering design. Representations were generated from empirical data from a comprehensive study of cognitive processes in iterative design activity. The utility of these representations is evidenced in their ability to emphasize empirical findings, highlight qualitative trends and patterns of behavior, and distinguish differences in design success and levels of engineering experience. In addition, these representations may be useful pedagogical tools for engaging design students and design educators in discussions about effective iterative behaviors.
Catalytically important damage-free structures of a copper nitrite reductase obtained by femtosecond X-ray laser and room-temperature neutron crystallography

Damage-free structures of the resting state of one of the most studied copper nitrite reductases were obtained independently by X-ray free-electron laser (XFEL) and neutron crystallography, representing the first direct comparison of neutron and XFEL structural data for any protein. In addition, damage-free structures of the reduced and nitrite-bound forms have been obtained to high resolution from cryogenically maintained crystals by XFEL crystallography.
Data Aggregation of Wireless Sensor Network Based on Event-Driven and Neural Network

To reduce energy consumption and data redundancy of wireless sensor network( WSN) emergency monitoring,a data fusion algorithm EBPDF( Event-Driven Back-Propagation Data Fusion Algorithm) based on event-driven dynamic clustering scheme and BP neural network is proposed. Dynamic clusters as well as cluster head election process is based on the severity of the incident and the node residual energy. The life cycle and coverage of the cluster are adjusted dynamically according to the urgency of the event and the node residual energy. Meanwhile the hierarchy of the neural network is combined with the cluster structure of WSN in order to reduce the network traffic. The threelayer neural network model is applied in the dynamic cluster structure,so a few eigenvalues which is sent to the sink node can be extracted from the raw data collected by the neural network algorithm. The method prolongs the network life cycle,reduces the redundancy of data transmission. The simulation experiments show that,compared with LEACH algorithm,EBPDF can reduce network traffic and the number of node communication effectively.
Dissolution enthalpies of 3d transition metals in liquid aluminium

Abstract Dissolution enthalpies of pure Sc(s), Cr(s), Fe(s), Co(s), and Ni(s) in Al(l) at the temperature 1073 K and in the mole-fraction range of dissolved element up to 10 -2 were measured with the help of an isoperibol solution calorimeter of Calvet-type. The molar dissolution enthalpies of Sc and Co as functions of mole fraction of the dissolved element were approximated with linear equations. For the other elements the molar dissolution enthalpies did not depend on mole fraction. Partial molar dissolution enthalpies of 3d transition metals at infinite dilution were calculated. The experimental results were compared with literature results and with values derived from Miedema et al 's model. Some irregularities of the dependence of the partial molar dissolution enthalpies of 3d transition metal in liquid aluminium at infinite dilution against the atomic number of the element in the Periodic Table were revealed.
Increasing Exposure to Programming: A Comparison of Demographic Characteristics of Students Enrolled in Introductory Computer Science Programming Courses vs. a Multidisciplinary Data Analysis Course

Upward trends in programming careers and increases in programming in less traditionally computer-oriented occupations threaten to further increase the current underrepresentation of both females and individuals from racial minority groups in these disciplines. Using administrative data (2009 – 2014), the present study compares demographic characteristics of students enrolled in a course that introduced programming: a multidisciplinary data analysis course, an introductory programming course, or an introductory computer science (CS) gateway course. The multidisciplinary data analysis course enrolled significantly more female students and students with lower Math SAT scores. Females were overrepresented in the data analysis course and underrepresented in the introductory programming and CS gateway courses relative to the larger campus community, with similar findings for underrepresented minority students. Less emphasis on traditional approaches to introductory programming and increased interdisciplinary opportunities to tackle real world questions may be one way to improve access to programming experiences for students from a wider range of educational, social and economic backgrounds.
Lot Sizing in Production Scheduling at a Personal Protection Equipment Company

This work presents an optimization model to support decisions during production planning and control in the personal protective equipment (PPE) industry (in particular, gloves). A case study was carried out at a Brazilian company with the aim of increasing productivity and improving customer service with respect to meeting deadlines. In this case study, the mixed integer linear programming model of Luche (2009) was revisited. A new model for single-stage lot sizing was applied to the production scheduling of gloves. Optimizing this scheduling was not a simple task because of the scale of the equipment setup time, the diversity of the products and the deadlines for the orders. The model was implemented in GAMS IDE and solved by CPLEX 12. The model and the associated heuristic produce better solutions than those currently used by the company.
Do novices and advanced students benefit differently from worked examples and ITS

Prior research shows that novices learn more from examples than unsupported problem solving. Intelligent Tutoring Systems (ITS) support problem solving in many ways, adaptive feedback being one of them. However, when students repeatedly request hints from ITSs, problem solving is eventually replaced with worked examples when students request solutions to the current step or the whole problem. We conducted a study to observe the difference in learning outcomes when novices and advanced students learn from examples or with an ITS. The study had three conditions: Examples Only (EO), Problems Only (PO) and Alternating Examples and Problems (AEP). After each example/problem, students received Self-Explanation (SE) prompts. The result shows that novices learnt significantly more conceptual knowledge in the AEP compared to the PO condition. Moreover, novices in the AEP and PO conditions performed significantly better on SE prompts than students in the EO condition. Advanced students who learnt from examples only did not significantly improve in the study. Overall, the study suggests using AEP for novices and either AEP or PO for advanced students. The results clearly reveal that using examples alone is not an effective approach for novices and advanced students in comparison with ITSs.
A Survey of Reversible Data Hiding Methods in Dual Images

ABSTRACT Security systems become the first consideration to prevent illegal access as interest of information security has increased recently. Information hiding is one of the methods for secret communication, where the existence of the secret data is hidden. The embedding capacity and visual quality are important issues to measure the performance. In this survey, reversible data hiding methods in dual images are described and comparisons of these techniques are provided in terms of embedding capacity and visual quality.
Total Synthesis of (+)-Calyculin A and (−)-Calyculin B: Cyanotetraene Construction, Asymmetric Synthesis of the C(26−37) Oxazole, Fragment Assembly, and Final Elaboration

A convergent total synthesis leading to (+)-calyculin A and (−)-calyculin B (1 and 2), antipodes of the potent, highly selective and remarkably cell-permeable phosphatase inhibitors calyculins A and B, has been achieved. In the preceding paper we outlined the asymmetric synthesis of the C(9−25) spiroketal dipropionate subunit (+)-BC; herein we describe construction of the C(1−8) cyanotetraene, an asymmetric synthesis of the C(26−37) oxazole, fragment assembly and final elaboration to (+)-1 and (−)-2. Highlights of the synthesis include: application of a one-pot three-component Suzuki reaction for the construction of phosphonate A, a bifunctional triene precursor of the light sensitive C(1−8) cyanotetraene subunit, an asymmetric synthesis of the C(26−32) oxazole (−)-D, exploiting the Silks−Odom 77Se NMR protocol to assess enantiomeric purity, construction of the C(33−37) subtarget (−)-E in a highly stereocontrolled fashion via an acyliminium ion, and a concise, highly efficient sequence for fragment assem.
A qualitative approach to understanding the role of lecture capture in student learning experiences

Abstract Lectures continue to be the dominant form of university teaching, and lecture capture technologies are tentatively taken up to support this form of delivery, rather than being used as a viable alternative. Much of the previous research, however, has been self-reports or survey-based, with far less attention given to qualitative explorations. This study aims to bridge this gap by using qualitative methods in order to examine students’ experiences of lecture capture provisions within the context of their own learning by utilising six focus groups to generate data. Thematic analysis was used to understand group opinions and experiences of lecture capture within university teaching. Two conceptual themes emerged: enhancing the learning environment and working and learning strategically. Results show that the value of lecture capture provisions could not be fully evaluated by students without considering their current learning environments. The main positive function of lecture capturing was to alleviate negative perceptions of lectures as a learning event, but it also provided students an opportunity to learn strategically. The extent to which lecture capturing develops and enhances the learning experience is discussed. Recommendations for how universities could utilise lecture capturing are proposed.
Coherent Multistatic ISAR imaging

After a MIMO revolution in the telecommunications world, this technology becomes increasingly popular in the radar world. The radar end-users are demanding more and more of their systems, while the targets are designed to have an as small as possible RCS, which makes them more difficult to detect. With multiple transmitters and receivers it may be possible meet the stringent demands of the users. Extending monostatic radar functions like target localization and Doppler velocity estimation to a multistatic configuration will show some significant improvements in resolution and overall situational awareness. With multistatic target localization, the cross-range resolution can be greatly improved and the overall system is much less susceptible to dips in the RCS, because it sees the target from different angles. With multistatic Doppler velocity estimations, a complete 2D or 3D target velocity vector can be composed to aid tracking and imaging techniques like ISAR. Multistatic ISAR is a perfect example of the strength of combining multiple radars. It can be used to achieve a higher resolution for the same integration time as a monostatic radar, or it allows a reduction of integration time, with a resolution equal to the monostatic case. A new concept in multistatic ISAR is the interpolation of the ISAR data. In case the geometry between the target and the radars does not meet the requirements for coherent combining the images, an interpolation of the data can be done. Not only the geometrical requirements can be eased, also the integration time can be artificially increased, allowing the radars to spend more time on other functions. Another new approach to multistatic ISAR is the incoherent combination of multiple ISAR images. This concept is called 2D ISAR and allows the creation of high resolution images with low resolution surveillance and MTI radars. The main idea of 2D ISAR is seeing the target under different angles, so the amplitude of the summation of scatters will be higher than that of the sidelobes, which allows to estimate the overall target dimensions.
THE EFFECT OF DIFFERENT MICROWAVE POWERS ON THE DRYING KINETICS AND POWDER PROPERTIES OF FOAM-MAT DRIED EGG WHITE POWDER

Bu calismanin amaci, farkli mikrodalga guclerinin kopuk kurutma yontemi ile kurutulmus yumurta beyazi kopugunun kuruma kinetigi ve toz ozellikleri uzerine etkisinin belirlenmesidir. Bu amac dogrultusuna, yumurta beyazi kopugu blender kullanilarak (100W, 5dk.) elde edilmis ve mikrodalga firinda bes farkli mikrodalga gucunde (120-720W) kurutulmustur. Artan mikrodalga gucu ile kuruma suresi 360s’den 80s’ye azalmistir ( P < 0.05). Yumurta beyazi tozunun kuruma kinetigini belirlemek icin, deneysel veriler cesitli yari teorik modeller ve bir empirik model kullanilarak modellenmistir. Yuksek R 2 degeriyle (0.983-0.994) Page model yumurta beyazi kopugunun kuruma davranisinin belirlenmesi icin en uygun model olarak secilmistir. Ayrica, ortalama etkin nem difuzyon katsayisi ve ortalama aktivasyon enerjisi hesaplanmis ve sirasiyla 3.3389E-08- 1.4139E-07 m 2 /s ve 28.0640 W/g olarak bulunmustur.
BinType: A Scalable Type Inference Tool for Compiled C Programs

Reverse-engineering program binaries often relies on the recovery of high-level data abstractions. In particular, recovering variables and their type is challenging as most such information is lost during compilation. Although past proposals seem to have addressed this problem, their approaches are either not scalable and suffer from coverage issues (e.g., dynamic analysis), or yield insufficient precision by staying too conservative (e.g., static analysis). Furthermore, most recent works lift assembly to Intermediate Representation (IR), which standardizes low-level operations, and may lose some useful semantics for type inference. In this thesis, we propose BinType, a static analysis-based, scalable, precise and conservative tool that works directly on x86 assembly to automatically reveal type information of variables and function arguments. BinType is 45% more precise than TIE (NDSS’11) on a dataset 3.5 times larger, and orders of magnitude faster than its underlying algorithm. We also show that our tool makes a significant impact on the accuracy of a recent tool on binary to source matching.
Role and importance of surface heterogeneities in transport of particles in saturated porous media

Abstract Knowledge of particle deposition and transport in saturated porous media is of significant importance for various engineered applications and environmental concerns. Surface physical and chemical heterogeneities play a critical role in particle deposition because they can increase attachment in the primary minima of Derjaguin-Landau-Verwey-Overbeek (DLVO) interaction energy profile by reducing the repulsive energy barrier. We present a comprehensive review showing that surface heterogeneity can alter particle deposition through multiple additional mechanisms such as increasing attachment at secondary minima at concave locations and detachment from primary minima at nanoscale convex asperities. The pore-scale deposition mechanisms due to surface heterogeneity can cause anomalous particle retention and transport behaviors at continuum scales such as equilibrium sorption and nonmonotonic retention profiles. To accurately determine the particle transport in porous media at continuum scales requires future research: (1) improving existing techniques to accurately measure and represent surface heterogeneities and determine attachment and detachment; (2) using statistic models to characterize variations of attachment and detachment with surface heterogeneity; (3) using Lagrangian/Eulerian approach to thoroughly understand pore-scale retention mechanisms in porous media, and incorporating them into continuum equations to simulate particle transport at continuum scales.
ACTIVE REDUCTION OF DEVICE NARROWBAND NOISE BY CONTROLLING VIBRATION OF ITS CASING BASED ON STRUCTURAL SENSORS

The aim of this paper is to further develop the idea of active casing presented by the authors in previous publications. Device (and machinery) noise is reduced by controlling vibration of its casing. The active control system is significantly extended in order to provide highest sound insulation efficiency. Multiple vibration actuators and sensors are installed on each of the casing walls. Two adaptive active control strategies are applied feedforward and Internal Model Control feedback, both with the adaptive Leaky Normalised Filtered-x Least Mean Square algorithm used to update control filter parameters. The control performance is experimentally verified for a real-life narrowband primary disturbance by using a laboratory set-up. Obtained results are reported, discussed, and conclusions for future research are drawn.
Palladium Complex-Catalyzed Reductive N-Heterocyclization of Nitroarenes: Novel Synthesis of Indole and 2H-Indazole Derivatives

The dichlorobis(triphenylphosphine)palladium (PdCl 2 (PPh 3 ) 1 )-tin(II) chloride (SnCl 2 ) system shows high catalytic activity for the reductive N-heterocyclization of various 2-nitrostyrene and N-(2-nitrobenzylidene)amine derivatives when employed at 100 o C for 16 h under 20 kg cm -2 of initial carbon monoxide pressure, to give the corresponding indole and 2H-indazole derivatives in good yield. For example, 2-phenylindole was obtained in 75% yield from the reductive N-heterocyclization of 2-nitrostilbene