Reviewerly/exHarmony huggingface dataset:
Image Grouping Technique 2CTS: Mastering Small Letters Among Learning Disabilities Children in Primary School

Students with learning disabilities shown difficulties in mastering lowercase at primary school. This study aims to examine the ability of learning disabilities students in mastering 26 lowercase by using Image Grouping Technique 2CTS. This research was a qualitative research with a single action research design which based on Piaget's cognitive learning theory and Kemmis & Mc Taggard model was adapted in this study. Result was collected by researchers by creating and modifying Pre-Oral test and Post-Oral tests based on Malaysia Ministry Education (KPM) program oral paper (LINUS 2.0) Bahasa Malaysia construct 1. Total of twelves students with learning disabilities (LD) including dyslexia, slow leaner and Attention Deficit Hyper Disorder (ADHD) was used as the study sample. All children in the same culture lifestyle and seven years old. The study was conducted in one of primary school at Gombak district. The results showed that LD children capable in understanding to achieved 26 lowercase letters by using 2CTS technique within 6 weeks of teaching and learning sessions without any difficulties.
How to Fix a Frozen Door Lock | blog | Great Valley Lockshop

If you live in a northern state, like Pennsylvania, there’s no question that you’re already accustomed to the cold temperatures, snow and ice that ...
The Transboundary Educational Space of the Eurasian Union: Current Digitalization Issues

The article clarifies the concept of cross-border education and cross-border educational space.The necessity and possibility of creating a cross-border digital educational space of the Eurasian Economic Union is considered.When creating it, it is necessary to overcome the external (high level of the international competition of educational spaces) and internal (uneven level of digitalization in the Union countries, different levels of preparedness) restrictions.For the cross-border space to function successfully, two fundamental tasks must be solved: a common digital platform has been created and a certain level of institutional design of the cross-border educational space has been achieved in each country.A cross-border educational space can be either general or single, therefore, for the Eurasian space, the experience of existing cross-border educational spaces must be used taking into account the realities of the economic and social development of the participating countries.
딥러닝 기반 영상 주행기록계와 단안 깊이 추정 및 기술을 위한 벤치마크

This paper presents a new benchmark system for visual odometry (VO) and monocular depth estimation (MDE). As deep learning has become a key technology in computer vision, many researchers are trying to apply deep learning to VO and MDE. Just a couple of years ago, they were independently studied in a supervised way, but now they are coupled and trained together in an unsupervised way. However, before designing fancy models and losses, we have to customize datasets to use them for training and testing. After training, the model has to be compared with the existing models, which is also a huge burden. The benchmark provides input dataset ready-to-use for VO and MDE research in ‘tfrecords’ format and output dataset that includes model checkpoints and inference results of the existing models. It also provides various tools for data formatting, training, and evaluation. In the experiments, the exsiting models were evaluated to verify their performances presented in the corresponding papers and we found that the evaluation result is inferior to the presented performances.
重读 DDIA isolation 部分

事务隔离要解决以下几类问题： 读： dirty read, read skew 写： dirty write, lost update, write skew dirty read (脏读) 在一个 tx 中，读到其他 tx 还没有 commit 的 writes。RC, SI, RR, Serializabledirty write (脏写) 在一个 tx 中，write 覆盖了其他 tx 中尚未 commit 的 writes。(加 row-level 的lock，commit/rollback 时释放)RC, SI, RR, Serializableread skew(nonrepeatable read) (读偏斜) 一个 tx 中，连续读两次相同条件的数据，读到的数据不一样。（因为可能被其他 tx commitle 新的 write 数据）SI, RR, Seriablizablelost update (写丢失) 一个 tx 中，读了一个数据，然后在修改（比如，read count 为10，然后update count = 10 + 1），最后 commit。如果是多个 tx 同时进行这样的操作，最后 count 值可能不正确。
7T Guided 3T Brain Tissue Segmentation Using Cascaded Nested Network

Accurate segmentation of the brain into major tissue types, e.g., the gray matter, white matter, and cerebrospinal fluid, in magnetic resonance (MR) imaging is critical for quantification of the brain anatomy and function. The availability of 7T MR scanners can provide more accurate and reliable voxel-wise tissue labels, which can be leveraged to supervise the training of the tissue segmentation in the conventional 3T brain images. Specifically, a deep learning based method can be used to build the highly non-linear mapping from the 3T intensity image to the more reliable label maps obtained from the 7T images of the same subject. However, the misalignment between 3T and 7T MR images due to image distortions poses a major obstacle to achieving better segmentation accuracy. To address this issue, we measure the quality of the 3T-7T alignment by using a correlation coefficient map. Then we propose a cascaded nested network (CaNes-Net) for 3T MR image segmentation and a multi-stage solution for training this model with the ground-truth tissue labels from 7T images. This paper has two main contributions. First, by incorporating the correlation loss, the above mentioned obstacle can be well addressed. Second, the geodesic distance maps are constructed based on the intermediate segmentation results to guide the training of the CaNes-Net as an iterative coarse-to-fine process. We evaluated the proposed CaNes-Net with the state-of-the-art methods on 18 in-house acquired subjects. We also qualitatively assessed the performance of the proposed model and U-Net on the ADNI dataset. Our results indicate that the proposed CaNes-Net is able to dramatically reduce mis-segmentation caused by the misalignment and achieves substantially improved accuracy over all the other methods.
A study on field application for the development of beauty cultural convergence education

본 연구에서는 이주여성을 위한 뷰티문화융합 교육을 현장에 적용함으로써 이에 도출된 결과를 분석하여 뷰티문화융합 교육의 실현가능성을 검증하였다. 이에 본 연구자는 이주여성의 심리적 안녕감 증진을 위한 뷰티융합문화교육을 운영하였으며 이를 통해 이주여성의 행복감과 안녕감의 감정정화를 돕고자 하였다. 연구의 방법은 이론적 배경을 통하여 디아스포라 여성의 심리적 특성과 학습특성을 파악하였으며 심리적 안녕감과 구성요인을 고찰하였다. 또한 이주여성 대상의 수요조사를 실시하여 현장에서 필요로 하는 실질적 교육활동 내용을 도출 하였다. 따라서 뷰티의 영역을 바탕으로 도출된 뷰티문화융합 교육은 이주여성의 심리적 안녕감을 향상시키고 이들의 슬픔이나 부정적 감정의 극복과 회복할 수 있는 마음자세를 취하게 함에 긍정적 효과가 있음이 확인되었다. 이는 치유적인 관점으로의 뷰티행동을 활용한 문화융합교육 개발에 기초적 자료로 활용됨에 의의가 있으며 향후 열린사회시대의 새로운 융합치유 프로그램 도출에 있어 뷰티 영역의 메이크업, 헤어, 네일, 피부, 이미지 메이킹 등 세분화, 전문화된 개별적 뷰티영역과 문화교육의 융합으로의 심화연구를 기대한다.In this study, the results of the application of beauty culture convergence education for migrant women were analyzed to verify the feasibility of beauty culture convergence education. The researcher implemented beauty convergence culture education to promote psychological well-being among migrant women. Based on the theoretical background, the research method identified psychological and learning characteristics among women in the diaspora, examining psychological well-being and its components. In addition, a demand survey was conducted on migrant women to determine the actual educational activities that are needed at the site. This study has confirmed that beauty culture convergence education, which is derived from the general area of beauty, had a positive effect, leading to a significant improvement in migrant women’s psychological well-being, especially considering that a positive mental attitude is required to overcome and recover from the sadness and other negative emotions that migrant women face. This is meaningful because it can be used as basic material for the development of cultural convergence education, in particular, the application of beauty behavior to healing. In the future, in order to create new convergence healing programs, we look forward to further studies on the convergence of specialized individual beauty areas and cultural education, including makeup, hair, nail, skin, and image making.
Highly sensitive method for remote analysis of diagnostic images

We suggest a method for visualizing minor changes in a medical image. Human vision has natural resolution limitations. Monitoring and analysis of minor changes in the medical image off-limits to human vision allows to draw the doctor's attention to possible problems and helps in disease diagnostics. To monitor the changes in the medical image, we used its transformation based on the solution of a special case of the knapsack problem. Transformation of the medical image allows to capture changes in a digital image with an accuracy of one pixel. The transformed medical image is adapted for the perception of human vision. One-pixel changes in the image are well captured by an untrained operator. Testing the method of the transformed medical image on X-ray images of the temporomandibular joint showed the following: the transformed images of fragments of healthy bone tissue on different parts of the jaw have similar shape and approximately the same color scheme. The shape of the transformed image of bone tissue after treatment is similar to the transformed image of healthy bone tissue. The shape and color scheme of the transformed image of diseased bone tissue do not match the shape and color of the transformed image of healthy bone tissue and the transformed image of bone tissue after treatment. Therewith, relatively small transformed image files can be used for preliminary remote diagnostics. The full files shall be transferred only if the doctor detects particular deviations from the norm on the transformed images. The proposed method of the medical image transformation can be used for remote detection of diseases and in other areas of medicine.
The 3 C’s of Blogging Foundation (Learn The Pros and Cons)

Blogging foundation is a good start if you aspire to become a successful blogger. Almost daily, there would be a person attempting to create a blog, ...
Entropy Weight-Based Matter-Element Extension Model for Security Evaluation and Prewarning Mechanism of National Defense Science and Technology

National defense science and technology (NDST) provides the driving force and guarantee for the building of a strong army and a prosperous country.Considering the threats to NDST security, this paper explores deep into the security evaluation and prewarning mechanism of NDST.Firstly, an evaluation index system was constructed for NDST security, in the light of the factors affecting NDST security.Next, a matter-element extension model (MEEM) was established based on entropy weight (EW), drawing on industrial security theory and operations research.The established EW-MEEM was applied to evaluate the NDST security of China in 2010-2017.Based on the evaluation results, a prewarning mechanism was built to promote the future development of China's NDST.
Job Satisfaction among Library Professionals Working In University Libraries of Odisha: A Case Study

Job satisfaction of employees, in general, is considered to be significant when an organization wants to achieve user’s satisfaction. Academic libraries are non-profit oriented service production systems. The digital technology orientation in academic libraries has thrown more challenges to the library professionals rather than to the users who at times outwit the library professionals. The social pressure from the users and online document pressure has put the library professionals in stress. The extent of job satisfaction may differ individually according to age, educational qualification, experience, and marital status. The results revealed by the study that responding to library professionals working in academic institutions in the Madurai district were found to have their job satisfaction at varying degrees.
Implementasi Jaringan Saraf Tiruan Sebagai Alat Bantu Deteksi Bakteri Staphylococcus Aureus Pada Sayuran

This study aims to aid bacterial detection through bacterial imagery in vegetables to help identify Staphylococcus aureus bacteria in vegetables. Input to the software is the image of bacteria in vegetables. Bacterial image is processed by grayscaling, thresholding and image segmentation processing methods so that the image characteristics that represent bacteria in vegetables are obtained. One technique that can be used as a tool to observe Staphylococcus aureus is to use artificial neural networks and combine them with image processing. Artificial neural networks function as information processing by inferring information from data that has been received and as a decision maker for data that has been studied. Image processing is the science of manipulating images, which includes techniques to improve or reduce image quality. The detection process using software that has been built can be done well. The process is carried out by matching the value of the exercise cutra backpropagation vector with the image to be detected.
Technology Advances Africa

Africa’s technological revolution is well underway, is transformative for human and economic development and greatly influences the conduct of politics. Where Africans were once relatively uninformed about the alternatives available to them in the spheres of political participation, economic path dependency, and social progress, now the glories of the World Wide Web, Google, Facebook, Instagram, WhatsApp, and straightforward SMS have brought the globe’s myriad opportunities and experiences to their urban and village dwellings. Amazon, Microsoft, and Huawei are all rolling out major data centers (cloud computing hubs) in South Africa and East Africa. The emergence of Africa’s middle class is facilitated by this new technologically enabled knowledge. Even remote villagers are able to feel a part of something all-encompassing. Technology has expanded horizons, enlarged existing vistas, and provided a solid foundation for further innovative embraces of the global village in the decades ahead—when there will be many more young Africans to build upon such existing edifices. Things no longer fall apart.
THE EFFECT OF BRAINSTORMING TEACHING TECHNIQUE ON STUDENTS’ ACHIEVEMENT IN WRITING DESCRIPTIVE TEXT AT MARTURIA COURSE MUARA

A bstrak. Tujuan dari penelitian ini adalah untuk mengetahui pengaruh Brainstorming Teaching Technique terhadap prestasi belajar siswa dalam menulis teks deskriptif di Marturia Course Muara. Untuk mengetahui jawaban dari masalah penelitian, peneliti menggunakan teori yang terkait, mereka adalah Knapp dan Watkinds (2005) & Wilson (2013). Desain penelitian adalah penelitian kuantitatif. Penelitian ini bertujuan untuk mengetahui pengaruh teknik mengajar yang diberikan, apakah itu mempengaruhi objek atau tidak. Populasi penelitian ini adalah 60 siswa SMP yang belajar Bahasa Inggris di Marturia Course Muara. Semuanya digunakan sebagai sampel penelitian ini. 60 siswa dikategorikan ke dalam dua kelompok. Grup A sebagai kelompok kontrol terdiri dari 30 siswa dan Grup B sebagai kelompok eksperimen terdiri dari 30 siswa juga. Peneliti menemukan bahwa rata-rata post-test pada kelompok eksperimen adalah 76,8 dan rata-rata post-test pada kelompok kontrol adalah 73,46. Dia juga menemukan bahwa uji-t lebih tinggi dari t-tabel (2,58> 1,672) pada tingkat signifikansi 5%. Berdasarkan analisis data penelitian ini, peneliti menyimpulkan bahwa Brainstorming Teaching Technique secara signifikan mempengaruhi prestasi siswa dalam menulis teks deskriptif di Marturia Course Muara. Kata Kunci: Teknik Mengajar Curah Pendapat, Prestasi Siswa, Menulis Abstract. The aim of this research was to find out the effect of Brainstorming Teaching Technique on students’ achievement in writing descriptive text at Marturia Course Muara. To find out the answer  of the research problem, researcher used the related theories, they were Knapp and Watkinds (2005) & Wilson(2013). The research design was quantitative research. This research aimed to know the effect of a given teaching technique, whether it influenced the object or not. The population of this research was 60 students of Junior High School who learned English at Marturia Course Muara. All of them were used as the sample of this research. The 60 students were categorized into two groups. Group A as the control group consisted of 30 students and Group B as the experimental group consisted of 30 students too. The researcher found that the mean of the post-test in experimental group was 76,8 and the mean of the post-test in control group was 73,46. She also found that t-test was higher than t-table (2.58>1.672) at the level of significance 5%. Based on the data analyisis of this research, the researcher concludes that Brainstorming Teaching Technique significantly affects the achievement of students in writing descriptive text at Marturia Course Muara. Key Words: Brainstorming Teaching Technique, Students’ Achievement, Writing
LibGuides: Remote Resources for College Students: Need a Study Break?

Conducting research remotely? The New York Public Library has you covered. This guide includes resources to support your research 24/7 no matter where you are.
Performance Lab Mind Review: Simple & powerful nootropic

Summary  Performance Lab Mind is one of the best nootropics weve ever come across. Performance Lab Mind combines power, simplicity, and excellent ...
Development of creative abilitiesof schoolchildren at lessons of the fine arts through implementation of the project method of training

The paper analyzes the essence and content of art as sphere of spiritual practical activities of people which is directed to art comprehension and development of the world. Also the author considers development of creative abilities of children through the developing potential of a project method which is making active a creative initiative-awakes a thought of the person, does his work spiritualized and fascinating. Conscious, active and independent work always leads to the best digestion of material. On the basis of experimental data the efficiency of the method of project activity is approved. Having considered the accumulated experience instudying the project activity, the author forms interests and inclinations of school students, giving the chance to the pupil to try different types of activity. Results of this research can be useful when using a method of project activity at various stages of lessons of the fine arts. Everything depends on type of a lesson, a type of the project and its duration. The conclusions presented in the paper are based on results of the pedagogical experiment made in the system of the main general education.
Ohh folks trying to join the literature ...

Ohh folks trying to join the literature and literacy wiki, I had to remove unverified sign ups for security. If you or your students want
Some Traditional Questions of Meter Approached from the Perspective of Projective Process

This chapter distinguishes between accent and “unaccent.” To make a distinction between accent and “unaccent,” one could say that the beginning of each sound is accented, and the rest of the sound is unaccented. Clearly, if beginning is regarded as a durationless instant, this statement will make little sense—if beginning is something that can be distinguished from the sound and separated from the sound's duration, accent in this case could not be perceived and regarded as a psychoacoustic attribute. A solution is to regard accent as beginning, but not to detach beginning from the event begun. One could then concur with Moritz Hauptmann that metrical accent is the accent of beginning—that “energy” being an active, creative potential for duration. What, then, would constitute a weak beat or “unaccent”? It could be said that any articulation or any possibility for articulation within the promised duration of the event begun would be “unaccent,” or not the beginning of the event.
Development of Handwriting Recognition Using Deep Learning in Unit3yD

Handwriting recognition is a technology that recognizes people's written documents, characters written on paper, and characters shown in pictures. Typical technologies include OCR and on-line handwriting recognition technology. OCR had a high recognition rate of writing that was clearly written, but if not, it had a low recognition rate. On-Line handwriting recognition technology clearly differed depending on the difference between handwriting input order and a person's handwriting. In this paper, in order to compensate for these shortcomings, we propose a handwriting recognition system using deep learning. In this paper, the learning data were designed using Convolutional Neural Network and EMNIST data set among neural network algorithms and the whole system was constructed using Unity3D game engine. In this paper, we also did a comparative analysis to see if CPU and GPU performance affect learning results, and although there was no big difference in loss value and acuracy value results, there was a maximum speed difference of 30 times at learning speed. Finally, the results of recognition were analyzed through experiments, and alphabets with similar shapes of characters and numbers, such as O, q, and l, had lower recognition rates. And if the experimenter wrote the characters to look similar to other alphabets, the recognition rate was low. The system proposed in this paper has developed an artificial intelligence system using game engine, so the process procedure has been simplified and the compatibility has improved.
LibGuides: Discovery Catalog: Search the Library Catalog

How to find resources using the Robert L. Powell Library Discovery Catalog Instructions on using the Library Discovery Catalog and accessing eBooks & Full text articles.
MODEL PENGAJARAN MOTIVASI DAPAT MENGATASI SPEECHLESS PESERTA DIDIKDALAM KBM BAIK DARI SD HINGGA UNIVERSITAS

In a learning process at a class, a teacher or lecture need a model learning in order to solving the speechless character (dump, stuttering, or stammering) like is afraid or pasif character is in personality of student, like is student or scholarship. Cause that character usually happen since primary school like SD or MI and than in high school too, like in junior high school and senior high school. After that, the it character was bring along until univerity. The learning model was suitable for solving that problem is motivation model. By motivator, a teacher or lecture can solve the speechless become speechness so the student or scholar can activ, confident, and bravo to performance in front of class.
Suspicious minds: effect of using a lesion likelihood score on reader behaviour with interactive mammographic CAD

Computer-Aided Detection (CAD) systems are used to help readers in interpreting screening mammograms. Traditional use of CAD in mammography involves an expert reader searching the image initially unaided, and then once again with the aid of CAD prompts that automatically indicate suspicious regions. An alternative approach is interactive CAD, where prompts are only displayed when readers query a suspicious region for which a prompt is available. These prompts are typically displayed with a given confidence of malignancy for that region. Two non-expert observer studies of interactive CAD were conducted to investigate its effect on the visual search of synthetic images containing microcalcification clusters. Experiment 1 (n=44) used no-CAD and interactive CAD conditions, whereas Experiment 2 (n=43) used interactive CAD in both conditions but in one there was an additional ‘image score’ denoting the likelihood that an image contained a cluster. In both experiments, the addition of interactive CAD (Experiment 1) and an image score (Experiment 2) did not change sensitivity or specificity compared to no-CAD and interactive CAD-alone, respectively. In Experiment 1, the higher the confidence value for a given prompt, the more likely a participant was to act on it. This effect was stronger for true prompts than false prompts. In Experiment 2, participants spent longer viewing images with higher image scores. When no prompt was available, they were more likely to make false positive errors on those images. However, decisions made on available prompts were influenced primarily by confidence values of the prompts rather than overall image score.