Reviewerly/exHarmony huggingface dataset:
Scholarship In The Sandbox: Academic Libraries As Laboratories, Forums, And Archives For Student Work

"Scholarship In The Sandbox: Academic Libraries As Laboratories, Forums, And Archives For Student Work." Public Services Quarterly, 15(4), pp. 326–327
Optimized and Tailorable Speckle Pattern Generation Approach for Digital Image Correlation Applications in SHM

A novel speckle pattern development technique is introduced to create a parametric space to allow for implementation of the Digital Image Correlation (DIC) method in Structural Health Monitoring (SHM) applications. DIC is a non-contact, vision-based deformation measurement method that has been widely used in mechanical testing and material characterization, as well as in structural testing applications. Being scale invariable, this technique has been used to measure full field 3D deformation as well as to identify damage occurring on a large range of scales from transportation bridges all the way down to material microstructure measurements. DIC tracks subsections of images taken during the deformation process to provide full field displacements and maps. To accomplish this goal, surface patterns are used when employing stereoscopic vision and the results with respect to deformation resolution vary due to both hardware and software reasons. In general practice, spraying and airbrushing are used for speckling in a scale from millimeters to meters, while stencils and specialized markers are applied to track deformation on bigger structures, the quality of which is dependent on the userâ€™s experience. In this paper an optimized pattern development technique is proposed to numerically and on-demand generate speckle sizing and distribution-controlled speckle patterns to reduce the uncertainty and increase the usefulness of DIC measurements at variant scales. The quality of the pattern is achieved by extracting features from a biotemplating inspired pattern and merging them with size control parameters for optimized pattern generation for given FOV sizes. Features that improve the quality of the speckle pattern are subsequently extracted via a deconvolution within the frequency spectrum. Gradient information controlling properties of the high-quality pattern are then synthesized and convolved with size and distribution controlling properties of a numerically generated pattern to produce optimized patterns which can then be transferred onto the specimens/structures. An error analysis study shows that the optimized pattern provides better results as compared to traditional speckling methods and that of the original bio-templated image. While the systematic bias in the error remained comparable to that of standard speckling methods, the random bias error reflects an 80% reduction across the entire field of view investigated. The viability of producing multiscale deformation information using this novel approach is assessed by a number of numerical tests.
Using Language Experience Approach (LEA) and Talk Massage Symbol Visible (TMSV) Method in Learning of Speech Skill of Indonesia Students

The study was described using language experience approach (LEA) and talk massage symbol visible (TMSV) method in learning speech skill.The results of this study used a descriptive quantitative approach.The research was set at Elementary School, Gowa Regency of Indonesia.The data of this study was speech skills include linguistic and non-linguistic factors.The technique used in data collection is, 1) observation, 2) pre-test.Data analysis includes stages: 1) data collection, 2) data reduction, 3) data presentation, and 4) verification and conclusion.The conclusion of the results of the data analyst was as follows: a) Data obtained from the observation of students categorized above the average value of 75 as many as 20 students or 87%, while those who obtain scores below the average of 75 are 3 students or 13%.The results of these data indicated that the ability of students in speaking skill of learning very satisfying, b) Data obtained from inferential statistical test results obtained t count =22.94 and t table =2.074 obtained data t count > t table or 22.94 >2.074.It concluded that H o rejected and H 1 accepted.It means that the application of the TMSV method affect in learning of speech skill at Elementary School of Indonesia.
Sar Edge Detector with High Localization Accuracy

In order to improve the localization accuracy of edges, an edge detector is proposed for synthetic aperture radar (SAR) images. The proposed detector, named as C-RBED, combines the Canny detector with the ratio-based edge detector (RBED). The proposed detector shows almost unbiased localization accuracy for the edges in SAR images, which benefits from the unbiased localization ability of Canny. On the other hand, C-RBED keeps the property of the constant false alarm rate as the result of RBED component. C-RBED obviously improves the localization accuracy of edges and hence achieves a high true positive detection rate. The experimental results on both simulated and real-world SAR images show that C-RBED can achieve better performance than traditional SAR edge detection methods in the sense of localization accuracy and edge continuity.
PENGGUNAAN METODE MIND MAPPING SEBAGAI UPAYA UNTUK MENINGKATKAN KOMPETENSI WRITING TEKS DESCRIPTIVE SISWA PADA MTsN LANGSA

This is evidenced by the results of the study, which showed differences in results, before and after the action was taken. That's why researchers try mind mapping methods to overcome them. This method is quite interesting, because it uses images created by students, which can be colored and decorated as students want and can come up with ideas in writing. The results of observation during the study, showed that students looked enthusiastic once the mind mapping method was introduced to be applied to writing. When doing any task, all can collect tasks. From the results of data processing, the percentage of mastery learning obtained in Cycle I was 39%, in Cycle II it was 100%,. These results indicate an increase in each cycle. Based on these results, the researcher suggests that MTs English teachers try to use the mind mapping method for learning aspects of writing as well as other aspects of learning. Researchers believe that exceptional student creativity will be seen in the results or mind mapping picture. Besides being able to foster creativity and interest, this method also contains various methods and can generate ideas.
Mobile learning and student engagement in remote field activities

This research is centred on an investigation of the potential for the use of mobile learning in remote field study locations by university students. The study focused on both geospatial concepts and abilities, instructional design methodologies and the impact of learning through the use of mobile devices and online learning. The study group included a total of 118 students enrolled in the University of Alberta, in the Department of Renewal Resources. The research methodology included mixed method approach that included the dissemination of online surveys, feedback forms completed during field study, and anecdotal data collected by instructors. A major pedagogical change in the course design resulted in students accessing mobile devices in place of traditional hard-copy maps in order to conduct their field studies.
Pedestrian Group Detection in Shared Space.

In shared space, pedestrians are often found walking in groups and behaving differently than individual pedestrians. However, automatically detecting pedestrian groups with high accuracy is not trivial given the dynamic environment and interactions in mixed traffic. Instead of tedious manual work and in order to cope with large scales of data, we propose a time-sequence Density-Based Spatial Clustering of Applications with Noise (DBSCAN) for pedestrian group detection. It is based on coexisting time and Euclidean distance between pedestrians. Our approach outputs reliable results with high IoU values. It can be easily adapted to other groups, e.g., cyclists and animals. In addition to individual behavior, the output data with differentiation of group behavior can be used in further studies in intent detection and motion prediction.
Voice quality of coarticulated Mandarin tones

Tonal coarticulation often induces changes in F0 (Xu, 1997; Brunelle, 2009) as well as voice quality (DiCanio, 2012). In Mandarin, voice quality covaries with F0, such that when the F0 is higher or lower than the mid-range pitch, the voice quality often becomes creakier (Kuang, 2017). However, fewer studies have examined how coarticulation can affect a tone’s voice quality. Using audio and electroglottography (EGG), this study investigates how F0 and voice quality of Mandarin tones are affected by coarticulation. The stimuli consisted of trisyllabic Mandarin compounds, where each of the four Mandarin tones is flanked by varying tones, for a full range of contextual variation. We expect that the F0 of a high tone (e.g., Tone 1) would become lower when flanked by a low tone (e.g., Tone 3), whereas the F0 of a low tone would become higher when adjacent to a high tone. Moreover, the voice quality of Tone 3 that is raised in F0 should become more modal, if voice quality depends on F0. Discussion of results will emphasize how F0 and voice quality of Mandarin tones can vary according to tonal context and how articulation (as measured by EGG) informs patterns of acoustic realization.
MildInt: Deep Learning-Based Multimodal Longitudinal Data Integration Framework

As large amounts of heterogeneous biomedical data become available, numerous methods for integrating such datasets have been developed to extract complementary knowledge from multiple domains of sources. Recently, a deep learning approach has shown promising results in a variety of research areas. However, applying the deep learning approach requires expertise for constructing a deep architecture that can take multimodal longitudinal data. Thus, in this paper, a deep learning-based python package for data integration is developed. The python package deep learning-based multimodal longitudinal data integration framework (MildInt) provides the preconstructed deep learning architecture for a classification task. MildInt contains two learning phases: learning feature representation from each modality of data and training a classifier for the final decision. Adopting deep architecture in the first phase leads to learning more task-relevant feature representation than a linear model. In the second phase, linear regression classifier is used for detecting and investigating biomarkers from multimodal data. Thus, by combining the linear model and the deep learning model, higher accuracy and better interpretability can be achieved. We validated the performance of our package using simulation data and real data. For the real data, as a pilot study, we used clinical and multimodal neuroimaging datasets in Alzheimer's disease to predict the disease progression. MildInt is capable of integrating multiple forms of numerical data including time series and non-time series data for extracting complementary features from the multimodal dataset.
PERBEDAAN EFEKTIFITAS MADU DAN SOFRATULLE TERHADAP PENYEMBUHAN LUKA DIABETIK PADA PASIEN DIABETES MELLITUS

Diabetic wounds are one factor that causes biological, psychological, social, spiritual and economic problems and death due to sepsis. Diabetic wounds easily develop into infections due to the entry of germs or bacteria and the presence of high blood sugar becomes a strategic place for germ growth. The purpose of this study was to analyze the differences in the effectiveness of honey and sofratulle on the diabetic wound healing process of patients with 2nd type of diabetes mellitus in Bhayangkara Hospital Pekanbaru. The research design conducted was pre-experimental research with the design of one group pretest-posttest. The study began on December 17, 2018 - January 17, 2019. The study sample consisted of 20 respondents divided into 2 groups, 10 respondents as the experimental group of wound care with honey and 10 respondents as the experimental group of wound care with sofratulle. The analysis data technique used was independent t-test with a value of α = 0.01. Based on data processing using SPSS obtained p value of 0,000 <α and at significance value p <0,001, then the results obtained were statistically were differences in the effectiveness of honey and sofratulle on diabetic wound healing patients with diabetes mellitus at Pekanbaru. The suggestion was to apply the use of honey as a wound care agent because it has good effectiveness for the wound healing process.
On Conditioning GANs to Hierarchical Ontologies.

The recent success of Generative Adversarial Networks (GAN) is a result of their ability to generate high quality images given samples from a latent space. One of the applications of GANs is to generate images from a text description, where the text is first encoded and further used for the conditioning in the generative model. In addition to text, conditional generative models often use label information for conditioning. Hence, the structure of the meta-data and the ontology of the labels is important for such models. In this paper, we propose Ontology Generative Adversarial Networks (O-GANs) to handle the complexities of the data with label ontology. We evaluate our model on a dataset of fashion images with hierarchical label structure. Our results suggest that the incorporation of the ontology, leads to better image quality as measured by Frechet Inception Distance and Inception Score. Additionally, we show that the O-GAN better matches the generated images to their conditioning text, compared to models that do not incorporate the label ontology.
Developing the concept of Individual IT Culture and its Impact on IT Risk Management Implementation

Organisational implementations of IT risk management (IT-RM) frameworks often fail due to cultural forces. This work-in-progress study focuses on the action of IT individuals involved with IT-RM implementations. Particularly, this research steps outside the conventional factor analytic perspective of IT risk management research by focusing on contextual and processual elements as well as the actions and interpretations of managers to explain successful implementations. A series of case studies were designed around semi-structured in-depth interviews with IT managers. Grounded theory-like analysis of the case text produced a structure of conceptual categories and themes depicting the successful implementation of an IT-RM framework.
An Analysis of Two Intonation Error in Chinese Language Education : The Action of Intonation in Chinese Well Temperament

There is Equal temperament and Well temperament in language vocalization like music. In intonation language, Well temperament of intonation combinations plays a very important role in Chinese. Well temperament is a constant variation that occurs in order to adapt the context in the actual expression process. Chinese-language natives are naturally vocalized by gathering energy and controlling vocal cords, but this is a relatively difficult part for foreigners, especially Korean speakers who speak non-tonal language. Not only it is not possible to produce harmonic sounds suitable for the well temperament, it affects the existing vocalization of the original intonation. These problems are very important factors in Chinese language education. However, since the traditional Chinese phonology and phonetics standards are both geared to Chinese native language learning, there has been no in-depth study on the well temperament of intonation combinations. Since the theory and practice of the problem of well temperament in intonation combinations are far from sufficient, the combinations of same intonation and error of [3+2] and [4+3] are frequent. In order to solve this basic error phenomenon in Chinese education, we must establish a theory that is reasonable or insurmountable and implement the education method that suits our education reality.
ANALYSIS OF DIFFERENCES IN ERYTHROCYTE MORPHOLOGY IN K3EDTA AND Na2EDTA BLOOD CLOTS BASED ON TIME SAMPLE STORAGE

Blood is a liquid system that combines blood plasma and blood cells. Blood cells consist of three types, namely erythrocytes, leukocytes and platelets. For analitical check up, anticoagulant is needed to prevent blood clotting by binding (chelation) or precipitating (precipitation) calcium, or by inhibiting the formation of thrombin needed to convert fibrinogen to fibrin in the freezing process. Check up using EDTA blood tests must be done immediately, if forced to postpone it should be noted the storage time limit for each check up. To make peripheral blood smear preparations can be used EDTA blood stored at least 2 hours at room temperature. There are two types of EDTA salts, namely sodium and potassium. The purpose of this research was to find out the comparison of the erythrocyte morphology in blood smear K3EDTA and Na2EDTA based on storage time variations. The type of research conducted is laboratory experiments. Data analysis used t test for erythrocyte form and description for erythrocyte size and color. The results of the t test between the forms of blood cationation Na2EDTA and K3EDTA chronology obtained significance values (2 tailed) 0.613> 0.05 (p> α) so that it can be concluded that H0 is accepted and Ha is rejected which means there are differences but not meaningful, but can be seen from the mean Na2EDTA (20,1667)> K3EDTA (17,4167) which means the average Na2EDTA crenation is higher than the K3EDTA blood sample. There is no significant to morphological changes between the blood sample of Na2EDTA and K3EDTA. There is storage time effects on the erythrocyte shape but there is no effect on the size and color of erythrocyte.Keywords: Edge Blood Smear, Na2EDTA and K3EDTA, erythrocyte morphology
Expectation from the Indian Government in the Cyber World

There is a lots of expectations from the Indian Governmentin the Cyber World. The details is mention below:Strong Data Protection Law to protect• The confidentiality and integrity of the data in the country and outside the country. * Govt should take into consideration to start working on Country specific Internet to protect and safeguard National defense and cyberspace of our Country.
PENGGUNAAN STRATEGI QUESTION HAVE (PERTANYAAN YANG DIMUNCULKAN OLEH SISWA SENDIRI) UNTUK MENINGKATKAN PRESTASI BELAJAR BAHASA INGGRIS

The purpose of conducting this class action research is to improve the learning achievement of students of class IX-4 in semester I of the 2018/2019 academic year at SMP Negeri 6 Denpasar. This research was conducted on 41 research subjects. The way to do this is to add old conventional learning styles into new learning methods that are discovery using the use of the question have strategy (questions raised by students themselves). The study was conducted in two cycles, each cycle carried out with the stages of planning, implementation, observation and reflection. To collect data on the results of research used learning achievement tests and to analyze the data used descriptive analysis. Judging from the results of evaluations that have been carried out an increase from the initial data with an average of 76.12 with mastery learning 36.59%, in the first cycle the average increased to 79.51 with mastery learning 75.61% and in the second cycle increased again to 83.54 with 100% mastery learning. Thus it can be concluded that the use of the question have strategy (questions raised by students themselves) can improve learning achievement in English.
PENGGUNAAN TEKHNIK BLUEPRINT PADA PEMODELAN OBJEK 3D

3D object is a manipulation of objects that have length, width and height or use 3 coordinate axes namely x, y and z. 3D objects look so real because they are made of real things and this 3D object is popular with all circles, because the sharp effects and high color resolution make the 3D look more real and beautiful. But not many people know how to make it and that knowledge is hard to come by. Some sources cannot be expected so detailed to share their knowledge. Therefore, the writer wants to share the knowledge that is gained from experience and to become an addition.&#x0D; There are several techniques used to maximize and facilitate sharp and accurate 3D object modeling, one of the important of these techniques is the Blueprint, Blueprint is a design drawing or sketch of an object in the form of 2 dimensions, consisting of images of side objects, front view , looks above and looks back, this allows us to make the blueprint as the main reference and capital for building 3D objects in great detail and because also 3D textures or object shapes only follow sketches that are displayed only from the blueprint, the 3dsmax blueprint application can also help animators in making all the desired models, a blueprint can be obtained through a site that is already available and can also be self-created through the design drawings which will be scanned to the computer with jpeg format with pixel resolution that must be above 760 x 680 so that the image looks clearer and easier for the modeling process 3D object.
Indistinguishable On-Chip Single-Photon Sources

Progress on integrating InGaAs quantum-dot single-photon sources within GaAs semiconductor photonic chips is reviewed. With resonant excitation, a radiative lifetime as short as 23 ps has been observed for a dot in a photonic-crystal nano-cavity, leading to single-photon emission with both high purity and indistinguishability.
The Media and System of Symbols at the Site of Mansae Movement - Flags and Declarations of March 1st Movement

This study analyzes the media and other system of symbols at the site of the March 1st Mansae Movement :We studied how the media and symbols were constructed under different categories through a quantitative analysis of how they changed over time, The declaration papers and flags were seen as important media. Based on their number count, the study categorized the demonstrations into four types : Declaration-led (modern media) type, flag-led (participation, mobilization) type, limited media (symbol) type and media non-existent type. Our general perception is that demonstrations of this kind first start as a modern demonstration taking place in the city and gradually spread out to the countryside as a community-based aggression. However, we observe that in the March 1st Movement, different types of Mansae Movements break out concurrently, indicating that they may not be as modern as we normally thought them to be, but show more complex characteristics that go beyond traditional community-based demonstrations. Such complex media usage in the March 1st Movement shows how the intellectuals and the general public break away from the traditional divide and join hands through new enlightenment and solidarity. The lectures and speech sessions in the 1920s were an extension of the Mansae Movement. The enlightenment activities led by young intellectuals could further spread out through the varied forms of the Mansae Movement.
Training activities to implement the data protection reform - Collection of material on behavioural and security module

Protection of confidential data from being leaked to the public is a growing concern amongorganisations and individuals. This WP4 document presents the results of the search for literatureon behavioural and security aspects of data protection. It will form the source material forteaching on this subject.The topics covered by this review include a summary of the changes brought about by the newGDPR, human and behavioural aspects of data protection, security and data breach or loss(threats), IT architectures to protect data (prevention), managing data breaches (mitigation), riskassessment and data protection audits. A distinction is made between threats and preventionfrom within an organisation and from the outside.