Miracle-dz/UniFAR-FTUs huggingface dataset:
Perceptions of conformity during the student teaching placement

The puipose o f this study was to examine the issue o f conformity and the relationship between student teachers and associate teachers during the preservice practicum. The three questions that guided this research included: (a) Did associate teachers expect pre-service teachers to mirror their practices during the practicum? (b) Did student teachers describe and expectation o f conformity within their field experience? ; and (c) What circumstances during the practicum increased the likelihood of conformity? This study was conducted with a sample o f student teachers and associate teachers during the 1999 2000 school term at one Ontario university, and it consisted o f two phases o f data collection. The first stage involved preliminary interviews with one student teacher on two separate occasions. The data from these interviews guided the surveys that were distributed to student teachers and associate teachers in the second phase o f data collection. This study found that associate teachers indicated that conformity occurred, and a fraction o f these participants clearly expressed a desire for this behaviour. Other associate teachers may have impUed this expectation through communication, feedback, and their actions. The student teachers suggested that conformity occurred in smaller numbers. Some participants expressed that it was a requirement of the practicum, while others felt that conformity occurred out of respect for the associate teacher. With reference to the factors that contributed to conformity, a perceived expectation of conformity and an associate teacher with more than 20 years of experience all increased the rate o f conformity with this group of participants. If student teachers observed for one week at the start o f their practicum and then proceeded to teach 3 4 lessons per day, they reduced their risk o f conformity. Additional variables aside from the ones presently stated were also examined within this research. Reproduced with permission of the copyright owner. Further reproduction prohibited without permission. TABLE OF CONTENTS ui Acknowledgments Abstract Table o f
Impulse Loading of 3D Prismatic Cellular Structures

A novel light metal cellular structure has been designed and fabricated from assemblies of square cross section tubes oriented in a cross-ply 2D and orthogonal 3D arrangements tailored to support different combinations of through thickness and in-plane loads. A simple dip brazing approach is used to fabricate these structures from extruded 6061-T6 aluminum alloy tubes. By varying the tube wall thickness, the resulting 3D cellular structures had relative densities between 11 and 43%. Using a combination of experimental testing and finite element simulation of the through thickness compression, it was found that the 3D orthogonal structures have an approximately linear dependence of modulus upon relative density. However their strength had a power law dependence upon density with an exponent of approximately 5/3. These cellular structures exhibit almost ideal plastic energy absorption at pressures that could be selected by adjustment of the vertical and in-plane tube wall thicknesses. The dynamic compressive response of the 3D cellular structure, and the 2D [0o/90o]2 array and out-of-plane tubes from which they were constructed, have also been
Piecewise linear processes with Poisson‐modulated exponential switching times

We consider the jump telegraph process when switching intensities depend on external shocks also accompanying with jumps. The incomplete financial market model based on this process is studied. The Esscher transform, which changes only unobservable parameters, is considered in detail. The financial market model based on this transform can price switching risks as well as jump risks of the model.
PENGGUNAAN APLIKASI VIDEO DAN BONEKA UNTUK MENINGKATKAN KEMAMPUAN MENYUSUI DI KABUPATEN MALANG

WHO dan UNICEF merilis, dari 136,7 juta bayi lahir hanya 32,6% yang disusui secara eksklusif, sedangkan cakupan ASI ekslusif di Indonesia tahun 2016 sampai bayi usia enam bulan tepat hanya 29,5%. Kebiasaan menyusui eksklusif salah satunya dipengaruhi oleh kemampuan ibu tentang teknik menyusui yang benar. Tujuan penelitian ini adalah untuk menguji efektifitas penggunaan aplikasi video dan boneka peraga dalam meningkatkan kemampuan ibu dalam menyusui. Disain penelitian ini adalah kuasi ekspresimen, dengan pendekatan pre-tes dan post-tes dua kelompok. Sampel yang digunakan adalah ibu nifas hari ke-3 s.d. 10 sebanyak 24 orang, yang dibagi menjadi kelompok yang menerima pendidikan kesehatan menggunakan aplikasi video dan kelompok boneka peraga. Evaluasi terhadap kemampuan menyusui dilakukan menggunakan instrumen daftar tilik. Hasil penelitian menunjukkan bahwa kelompok yang menerima pendidikan kesehatan tentang teknik menyusui yang benar menggunakan aplikasi video memiliki kemampuan menyusui yang lebih baik (ρ=0,002) daripada kelompok boneka peraga (ρ=0,005). Dengan demikian, terdapat perbedaan efektivitas penggunaan aplikasi video dan boneka peraga dalam kemampuan menyusui.
Peer Review of Manuscripts: A Valuable yet Neglected Educational Tool for Early-Career Researchers

With the number of publications being all-time high, academic peer review is imperative to ensure high-quality research content. The wider involvement of postgraduate, early-career researchers (ECRs) has been proposed on several platforms to address the unsustainability of the peer review process caused by a lack of peer reviewers. A survey involving 1203 academics and ECRs in ten countries revealed their attitudes towards the involvement of ECRs in the peer review process. The trends and motives were identified, with emphasis on the peer review being an oft-neglected tool in the skill development of ECRs. In light of the survey results, the transferrable skills that ECRs acquire from performing peer reviews at a crucial stage in their career development are systematically explored. The findings call for further engagement of ECRs in the peer review process under supervisory mentoring.
Geometrically Nonlinear Analysis of Functionally Graded Timoshenko Curved Beams with Variable Curvatures

In this paper, geometrically nonlinear analysis of functionally graded curved beams with variable curvatures based on Timoshenko beam theory is presented. Considering the axial extension and the transversal shear deformation, geometrically nonlinear governing equations for the FGM curved beams with variable curvatures subjected to thermal and mechanical loads are formulated. Material properties of the curved beams are assumed to vary arbitrarily in the thickness direction and be independent on the temperature change. By using the numerical shooting method to solve the coupled ordinary differential equations, the nonlinear response of static thermal bending of a FGM semielliptic beams subjected to transversely nonuniform temperature rise is obtained numerically. The effects of material gradient, shear deformation, and temperature rise on the response of the curved beam are discussed in detail. Nonlinear bending of a closed FGM elliptic structure subjected to two pinching concentrated loads is also analyzed. This paper presents some equilibrium paths and configurations of the elliptic curved beam for different pinching concentrated loads.
A Unified Eddy-Diffusivity/Mass-Flux Approach for Modeling Atmospheric Convection

A fully unified parameterization of boundary layer and moist convection (shallow and deep) is presented. The new parameterization is based on the stochastic multiplume eddy-diffusivity/mass-flux (EDMF) approach, which distinguishes between convective plumes and nonconvective mixing. The convective plumes represent both surface-forced updrafts and evaporatively driven downdrafts. The type of convection (i.e., dry, shallow, or deep) represented by the updrafts is not defined a priori, but rather depends on the near-surface updraft properties and the stochastic interactions between the plumes and the environment through lateral entrainment. Consequently, some updrafts may contribute only to the nonlocal transport within the subcloud layer, while others may condense and form shallow or even deep convection. Such a formulation is void of trigger functions and additional closures typical of modular parameterizations. The updrafts are coupled to relatively simple warm-, mixed-, and ice-phase microphysics. Each precipitating updraft forms a downdraft driven by the evaporation of detrained precipitation. The downdrafts control the development of cold pools near the surface that can invigorate convection. The new parameterization is tested in a single-column model against large-eddy simulations (LESs) for cases representing weakly precipitating marine convection and the diurnal cycle of continental deep convection. The results of these EDMF experiments compare well with the LES reference simulations. In particular, the transitions between the different dominant convection regimes are realistically simulated.
Modulating the Layer Resistivity by Band-Engineering to Improve the Current Spreading for DUV LEDs

In this letter, we propose to enhance the hole injection efficiency by modulating the layer resistivity in the n-AlGaN layer for 280 nm AlGaN based deep ultraviolet light-emitting diodes (DUV LEDs). The layer resistivity for the n-AlGaN layer is controlled by generating the energy barriers, which is enabled by locally engineering the energy band gap for the n-AlGaN layer, such that a thin n-AlGaN layer with high Al composition is inserted before growing the subsequent multiple quantum wells (MQWs). As a result, such inserted n-AlGaN layer is able to tune the current flow path, i.e., improving the current spreading effect in the p-type hole injection layer. The improved current spreading effect favors the promoted hole injection into the active region. We numerically and experimentally obtain the improved external quantum efficiency, the optical power, and the wall-plug efficiency, thanks to the better current spreading and the correspondingly enhanced hole injection capability.
The Relationship Between Metacognitive Awareness Of Reading Strategies Use And 10Th Grade Students' College And Career Readiness Achievement In English Language Arts

iii DEDICATION . iv ACKNOWLEDGEMENTS . v CHAPTER 1: INTRODUCTION . 1 Statement of the Problem . 2 Purpose of the Study . 4 Research Questions and Hypotheses . 5 Significance of the Research Topic . 6 Definition of Important Terms . 8 Assumptions and Initial Limitations . 10 Audience for the Study . 12 Summary of the Introduction . 12 CHAPTER 2: LITERATURE REVIEW . 13 An Historical Context for Standardized Assessment . 13 Theoretical Framework: Self-Regulated Learning Theory . 18 Educational Research on Metacognition . 20 College and Career Readiness in the Context of Literacy Development . 29 The Lexile Framework for Reading . 36 Summary of the Literature Review . 37 CHAPTER 3: METHODOLOGY . 39 Research Design . 39 Population, Sample, and Participants . 40 Instrumentation . 41 Procedure . 43
Using Word Embeddings to Explore the Language of Depression on Twitter

How do people discuss mental health on social media? Can we train a computer program to recognize differences between discussions of depression and other topics? Can an algorithm predict that someone is depressed from their tweets alone? In this project, we collect tweets referencing “depression” and “depressed” over a seven year period, and train word embeddings to characterize linguistic structures within the corpus. We find that neural word embeddings capture the contextual differences between “depressed” and “healthy” language. We also looked at how context around words may have changed over time to get deeper understanding of contextual shifts in the word usage. Finally, we trained a deep learning network on a much smaller collection of tweets authored by individuals formally diagnosed with depression. The best performing model for the prediction task is Convolutional LSTM (CNN-LSTM) model with a F-score of 69% on test data. The results suggest social media could serve as a valuable screening tool for mental health.
An ethnobotanical investigation on medicinal plants in South of Erzurum (Turkey)

Background: This study reports the results of ethnobotanical research performed in Çat, Tekman, Hınıs, Karaçoban, Karayazı situated in the southern region of Erzurum. The ethnobotanical results include quantitative data on the diversity of medicinal plants and other usages documented in districts. Methods: We quantitatively analyzed the diversity of medicinal plants and their uses in these districts. We collected this information through open and semistructured interviews and questionnaires. We also collected samples of plants with the informants which were deposited at the Herbarium of the University of Ataturk. Our results were analyzed quantitatively using ethnobotanical indexes ICF, FL, UV. Results: A total of 98 medical plants belonging to 34 families were identified in this study. Amongst these, 84 taxa are wild while 16 taxa are cultivated. The most common preparations were decoction. These 98 medicinal plants are used for medicinal purposes (we recorded 164 medicinal remedies) although, among these, 58 plants are also used as food or for other purposes. Conclusions: The traditional medicine was still extensive among the people in Erzurum. However, there is a gradual loss of traditional information to the usage of medicinal plants in younger generations.
Absence of giant dielectric permittivity in graphene oxide materials

Graphene oxide (GO) is considered as a promising component for electronics because of its unique anisotropy, easy processing and sometimes claimed giant permittivity. The latter would arise from an enhanced electronic polarizability due to the presence of functional groups at the surface and edge of GO flakes. As a matter of fact, a number of publications have reported a very large permittivity of GO materials. Nevertheless, the reported values for the intrinsic relative permittivity vary significantly from a few units to several millions. Such variability raises a critical question on the actual and intrinsic permittivity of GO, and on difficulties of measurements due to the polarization of the electrodes. We presently report impedance spectroscopy characterizations of GO solutions with different solvents. We find very large capacitance at low frequencies, in agreement with previous reports. However, we also show that these results can be interpreted without considering a giant permittivity of GO. Actually, a simple equivalent circuit model allows us to confirm that GO does not have a giant permittivity. We conclude that GO can be used as an electrolyte for supercapacitors, or as a precursor for electrically conductive graphene-based materials, but not as an efficient additive to raise the permittivity of solvents or composites for electronics and energy storage applications.
Physical Control of Biological Processes in the Central Equatorial Pacific: A Data Assimilative Modeling Study

PHYSICAL CONTROL OF BIOLOGICAL PROCESSES IN THE CENTRAL EQUATORIAL PACIFIC: A DATA ASSIMILATIVE MODELING STUDY Maijorie Anne MacWhorter Friedrichs Old Dominion University, 1999 Director Dr. Eileen E. Hofmann A Five-component data assimilative ecosystem model is developed in order to investigate the effects of physical processes encompassing a wide range of space and time scales, on the lower trophic levels of the highly dynamic central equatorial Pacific (140°W). Many of the biological processes included in the ecosystem model respond to environmental fluctuations with time scales between one and ten days, which are not typically resolved by basin to global scale circulation models. Therefore, the ecosystem model is forced using daily observations from the TAO mooring array. Model simulations successfully reproduce data collected both during and after the 1991-92 El Nino, suggesting that species composition changes are not of first order importance when examining the effects of this El Nino on the equatorial Pacific ecosystem. Simulations also highlight the importance of higher frequency mesoscale events, such as tropical instability waves and equatorially-trapped internal gravity waves. The feasibility of improving simulation skill by assimilating biogeochemical observations, is also examined. The adjoint method, which minimizes model/data misfits by adjusting model parameters, provides a viable option for assimilating data into marine ecosystem models. When assimilating synthetic data subsampled using the resolution of the JGOFS EqPac cruises, parameters governing processes such as grazing, growth, mortality and recycling can be recovered exactly. The assimilation of phytoplankton Reproduced with permission of the copyright owner. Further reproduction prohibited without permission. time-series data, as are currently available from SeaWiFS, additionally requires a small amount of supplemental in situ nutrient data. As expected, deterioration in simulation skill is more severe when assimilating biased data, as compared to data containing random noise. When actual EqPac cruise data and SeaWiFS ocean color data are assimilated, one can objectively determine whether or not a given model structure is consistent with specific sets of observations. For instance, a brief period of macro-nutrient limitation during the 1997-98 El Nino, as well as changes in species composition observed during the passage of a tropical instability wave, are found to violate key model assumptions. Thus, although the assimilation of biological data into a marine ecosystem model cannot necessarily overcome inappropriate model dynamics, data assimilation can often serve to guide model reformulation. Reproduced with permission of the copyright owner. Further reproduction prohibited without permission. To Drew and Will, who have made my graduate work so much more challenging, and so much more fun. Reproduced with permission of the copyright owner. Further reproduction prohibited without permission.
The Web's Identity Crisis: Understanding the Effectiveness of Website Identity Indicators

Users must understand the identity of the website that they are visiting in order to make trust decisions. Web browsers indicate website identity via URLs and HTTPS certiﬁcates, but users must understand and act on these indicators for them to be effective. In this paper, we explore how browser identity indicators affect user behavior and understanding. First, we present a large-scale ﬁeld experiment measuring the effects of the HTTPS Extended Validation (EV) certiﬁ-cate UI on user behavior. Our experiment is many orders of magnitude larger than any prior study of EV indicators, and it is the ﬁrst to examine the EV indicator in a naturalistic scenario. We ﬁnd that most metrics of user behavior are unaffected by its removal, providing evidence that the EV indicator adds little value in its current form. Second, we conduct three experimental design surveys to understand how users perceive UI variations in identity indicators for login pages, looking at EV UI in Chrome and Safari and URL formatting designs in Chrome. In 14 iterations on browsers’ EV and URL formats, no intervention signiﬁcantly impacted users’ understanding of the security or identity of login pages. In-formed by our experimental results, we provide recommendations to build more effective website identity mechanisms.
Distributed Energy Resource Coordination Over Time-Varying Directed Communication Networks

In this paper, we consider the optimal coordination problem for distributed energy resources (DERs), including distributed generators and energy storages. We first propose an algorithm based on the push-sum and gradient method to solve the optimal DER coordination problem in a distributed manner. In the proposed algorithm, each DER only maintains a set of variables and updates them through information exchange with a few neighboring DERs over a time-varying directed communication network. We show that the proposed distributed algorithm with appropriately chosen diminishing step sizes solves the optimal DER coordination problem if the time-varying directed communication network is uniformly jointly strongly connected. Moreover, in order to improve the convergence speed and to reduce the communication burden, we propose an accelerated distributed algorithm with a fixed step size. We show that the new proposed algorithm exponentially solves the optimal DER coordination problem if the cost functions satisfy an additional assumption and the selected step size is less than a certain critical value. Both proposed distributed algorithms are validated and evaluated using the IEEE 39-bus system.
Diurnal Variations of Different Cloud Types and the Relationship between the Diurnal Variations of Clouds and Precipitation in Central and East China

In this paper, the diurnal variations of various clouds are analyzed using hourly cloud observations at weather stations in China from 1985 to 2011. In combination with merged hourly precipitation data, the relationship between the diurnal variations of clouds and precipitation in the summers from 2008 to 2011 are studied. The results show that the occurrence frequencies of total cloud and various cloud types exhibit significant diurnal variations. The diurnal variations of the occurrence frequencies of altocumulus and stratocumulus show a bimodal pattern, with peaks appearing in the early morning and late afternoon. The early morning peaks of altocumulus and stratocumulus appear earlier in the summer than in the other seasons, while the late afternoon maxima show an opposite trend. The occurrence frequency of nimbostratus peaks in the morning between 07 and 12 LST (local solar time), and the peak value lags 2 to 3 h from west to east along the Yangtze River valley; meanwhile, the diurnal variation shows no clear differences caused by changes in the latitude or seasons. Cumulus shows an afternoon (14 LST) maximum, while cumulonimbus peaks in the late afternoon during 16–20 LST, and both of them present a great diurnal range. Cirrus usually reaches its peak at 17–18 LST, and it differs by 1 to 2 h with a change in the latitude. The results of the study first show that the diurnal variations of precipitation among different regions are dominated by different clouds. The upper reaches of the Yangtze River valley present a midnight precipitation maximum that is mainly dominated by cumulonimbus. For the middle reaches of the Yangtze River valley impacted by nimbostratus, the precipitation peaks in the early morning. In South and Northeast China, the precipitation peaks in the afternoon and is determined by the diurnal variations of convective clouds. In the region between the Yangtze River valley and Yellow River valley, the precipitation peaks in the early morning and afternoon; the early morning peak is mainly determined by stratiform clouds, while the afternoon peak is closely related to convective clouds.
What Works and What Doesn't: An Analysis of Brand Engagment on Facebook

Brands and organizations utilize Facebook ‘likes’ and connections in order to promote brand awareness, a positive brand image, and improve purchase intention. Compared to Twitter and Instagram, Facebook remains the dominant platform for brands to sell products and engage consumers with new and upcoming merchandise and events. Consumers are dependent on their friends ‘likes’ and comments in order to make decisions about brands more than they are brandmade posts. This study looks at brand intention, message type, and the ‘like’ to determine what messages, days, and months are the most effective in generating consumer engagement.