Reviewerly/exHarmony huggingface dataset:
GRAMMATICAL ERRORS IN UNDERGRADUATE THESIS ABSTRACTS

The purpose of this study is to investigate the english grammatical error, in terms of subject-verb agreement, found in the undergraduate thesis abstracts written by the graduates of Management Studies of Sekolah Tinggi Ilmu Manajemen Sukma, Medan. Subject-verb agreement error is classified into two main categories, namely: (1) the use of number agreement and (2) the use of the tense agreement. The objectives of this study are two folds; to find out the types of SVA errors occurring in the undergraduate thesis abstract, and to find out the factors causing the errors. In this qualitative descriptive study, ten English abstracts are taken purposely as the source of data. In analyzing the errors, six complete procedures called error analysis designed by Gass & Selinker are applied. The results of the analysis reveal that 51 SVA errors occur, with 1 error on the use of number agreement and 50 errors on the use of the tense agreement. All of these errors are caused by intralanguage errors (interference from incomplete L2 comprehension). Moreover, three factors caused intralanguage errors. They are called inconsistency, indeterminacy, and simplification. It is also found that with 36 occurrences, inconsistency exceeds the other factors. While simplification causes 10 errors and the rest is indeterminacy that causes 5 errors. In brief, these results reveal that the graduates are still making errors in writing their undergraduate thesis abstracts. By looking at this fact, the researcher has given several suggestions to escalate and improve the quality of the undergraduate thesis abstracts that are written in English.
Analysis Of Kids Garden Dapodic Application System

The dapodic system application is a system application that makes it easy for school users or operators to input all types of data related to school, such as active teacher data, non-active teacher data, active student data, non-active student data, report cards, schedules, and school facilities and infrastructure. The purpose of this research is to analyze how kindergarten school management is implemented with the dapodic application. The first method used is the data collection method, data analysis method, and system application implementation. The end result of this research is a perfect and maximum dapodic application that makes it easier for users to do their work.
Caracterização da titanita Khan River como um material de referência de U-Pb e elementos traços para LA-ICP-MS.

Studies focused on U-Pb age dating in minerals like zircons, apatite and titanite using LA-MC-ICP-MS (Laser Ablation-Multiple Collector-Couples Plasma Mass Spectrometry) contribute to the understanding of a wide range of geological processes. In this research, the mineral texture, the U-Pb isotopic composition, and trace element content of the Khan River are described. The titanite belong to a pegmatite from the Namib Coastal Desert, in Namibia, located close to the Khan copper mine, northeast of Swakopmund. Several samples of this mineral were collected and assessed as potential reference material for U-Pb LA age dating. The most crystalline and homogeneous grains were handpicked, and separated for chemical abrasion treatment, with thermal annealing at 850oC on a muffle furnace followed by 0,1 and 0,05 ml HF acid etching. The abraded fragments were prepared on a mount with grains without chemical abrasion and were analyzed for trace elements and U-Th-Pb isotopes. Results of optical and backscatter imaging shows that the chemical abrasion have cleared much of the noncrystalline and fractured areas of the grains. The preserved areas of the abraded grains are clean and, translucent: it is likely that their crystalline structure recovered well during the thermal annealing. The results of LA ICP MS analyses shows that the Khan River titanite is homogeneous in term of trace elements and isotopic composition and is potentially a good reference material for U-Pb age dating of titanite. The LA-ICP-MS ages of 517 Ma are identical within error to previously published ID-TIMS and SHRIMP ages for other pegmatites in the area, including the age of the Khan copper deposit.Key words: Khan River, LA-ICP-MS, Chemical Abrasion
Análise de viabilidade econômico-financeira de um empreendimento no mercado de beleza e estética em tempos de pandemia

To develop an economic financial feasibility before opening a business is extremelyimportant to assess risks and uncertainties. This analysis aims to verify whether the project iseconomically viable and if it will be able to sustain itself financially. At the beginning of 2020,there was a growth expectancy for the beauty and aesthetics market, as an attraction for newinvestors, but the Covid-19 pandemic arrived in Brazil bringing an investment uncertainty inthis branch. The objective of this study was to evaluate the economic and financial viability ofan aesthetic clinic in a time of pandemic, in the city of Mogi Guacu/SP. Thus, project analysistechniques and indicators were used to verify the economic and financial viability of theinvestment. Based on the analysis or the results obtained, financial and also economically, andaccording with the objective of this work, it is affirmed that there is a positive economic andfinancial viability in the implementation of an aesthetic clinic in the municipality of MogiGuacu, state of Sao Paulo. However, the Covid-19 pandemic has caused economic impacts,increasing the unemployment, so any economic change, however small, may have an impacton the results of the analysis.
Automatic Verification of a Remote Code Execution Vulnerability Detection Model Using the SPIN Model Checker

Internet applications currently play an important role in automating traditional dailyactivities by updating existing solutions. Worldwide, over 3.88 billion people use theInternet and various Internet applications from service providers because it is easy to useand available anywhere, anytime. For the aforementioned beneficial reasons, mostorganizations or service providers, such as industry, banks, government, education,medicine and other industries, want to offer their services to interested parties via a webapplication and other online systems. Companies automate processes and offer theirclients services via web applications to achieve higher profits with greater customersatisfaction. A modern web application stores the confidential information oforganizations and consumers for the above-mentioned reasons: The risk of using theseweb applications increases daily due to various cyber-attacks. A vulnerability in Internetapplications is a serious vulnerability in the system that can be affected. ISPs use the PHPplatform to create web applications that simplify the use of code According to OWASPand SANS, the most common security vulnerabilities are SQLi (Structured RequestLanguage Injection), injection of the Cross Site Scripting (XSS) injection buffer overflowsystem command and Interrupted Authentication Session Management , disclosure ofconfidential data, remote code execution (RCE), attachment of local files (LFI) etc.However, the new years of remote code execution were a major threat on the Internet thatcould use the web server function for script / file files.
Research Guides: Infographics: Piktochart

Your guide on how to use Canva or Piktochart to make eye-popping and informational infographics.
Immersive Experiences in Education and Training

Both Augmented and Virtual Reality are helping to change the way we learn and train. How are these new technologies transforming the education sector and what does the future hold.
Library Guides: Text and Data Mining Guide: Web Scraping

Step-by-step guide on how to get started with your text mining project along with examples of past text mining projects from UW researchers and students.
Machine Learning for Modulation Classification of Radar Signals: A Survey

Automatic modulation recognition of radar waveform is a major topic and has many military applications. This paper surveys the models and the techniques used in recognizing different modulation types of intercepted radar waveform. The literature shows the outstanding performance of deep learning neural network at low SNR values and in signal[1]overlapped environments as well. Additionally, using different mathematical and statistical algorithms demonstrated that utilized in features extraction of the data in order to feed them into the neural network improves the performance significantly. However, reducing computation complexity is in development too.
Crime Pattern Analysis and Prediction Using Machine Learning

It has been observed a massive rising curve in crime in the country. Only if crime could be decreased, some concrete steps should be taken by the Government and hence, we aim to brief about the crime patterns and predict using machine learning algorithm for the data obtained from the official Indian Government websites. The raw data obtained was converted to a suitable format using data mining techniques such as eliminating missing values, eliminating redundant data, data transformation, etc. This data was fed to algorithms like Linear Regression, Random Forest for performing predictions. Crime type predictions are performed, for four years, for each state as well as all the states of India using the data from year 2010-2020. These predictions are displayed using simple visualization charts. One important aspect that is used with these algorithms is that of identifying the trend changing year in order to increase the accuracy of the predictions.Another aspect of the proposed analytics system includes the visualization of crime patterns over the past years till 2010 to 2020. These visualizations are performed with the help of demographic data available at the Census India website. Each state in the visualizations is distinguished using factors like literacy and area in order to demonstrate the crime per one lakh people. While performing all these predictions and visualizations, we came across significant observations regarding the algorithms used, or certain crime types and the data related to its which has also been incorporated in one of our modules.The entire system is established through the project - “Indian Crime Analysis”. The project report provides three main services - predictions, visualizations and observations. Under the predictions service, Indian crime is considered. The visualizations service consists of the total crime against both the gender with respect to States in different years. The observations service provides a headline of all the notable statistics and information perceived during execution of the system. This project provides a user-friendly environment for all its users to take the entire benefit of studying the crime patterns across all the states of India for diverse purposes.
An automated method with anchor-free detection and U-shaped segmentation for nuclei instance segmentation.

Nuclei segmentation plays an important role in cancer diagnosis. Automated methods for digital pathology become popular due to the developments of deep learning and neural networks. However, this task still faces challenges. Most of current techniques cannot be applied directly because of the clustered state and the large number of nuclei in images. Moreover, anchor-based methods for object detection lead a huge amount of calculation, which is even worse on pathological images with a large target density. To address these issues, we propose a novel network with an anchor-free detection and a U-shaped segmentation. An altered feature enhancement module is attached to improve the performance in dense target detection. Meanwhile, the U-Shaped structure in segmentation block ensures the aggregation of features in different dimensions generated from the backbone network. We evaluate our work on a Multi-Organ Nuclei Segmentation dataset from MICCAI 2018 challenge. In comparisons with others, our proposed method achieves state-of-the-art performance.
KEMAMPUAN SISWA MENULIS CERITA FANTASI DENGAN MEMPERHATIKAN STRUKTUR CERITA FANTASI KELAS VII SMP NEGERI 13 BANDAR LAMPUNG TAHUN PELAJARAN 2018/2019

The study discusses about the student’s ability in writing fantasy story by focussing on the structure of the fantasy story itself. The ability to write fantasy story by focussing on. The structure is the student’s ability to write a fantasy story completely under the conditions that has been decided. The aspects of  fantasy storythat has been researched, are: (1) the clarity of orientation, (2)the clarity of complication, (3) the clarity of resulation, (4) the overal content of the story.The study uses descriptive quantitative methods. The population of this study was all students of class VII of SMP Negeri 13 Bandar Lampung in the academic year 2018/2019 which totaled 318 people. The research sample was set as many as 1 class which was taken using technic cluster random sampling. Analyzing the data in this study is using percentages. Data analysis was carried out using quantitative descriptive methods, namely by assessing the results of student writing based on aspects of assessment by scoring.Generally, the result of the research of writing fantasy story ability by focusing on the structure of fantasy story, got 65 score. This score categorized as standard. (1) the ability aspect of clarity of orientation got 68 as the percentage score and categoryzed as standard. (2) the ability aspect of the clarity of complication got 64 as the percentage score and categoryzed as standard. (3) the ability aspect of the clarity of resolution got 67 as the percentage score and categoryzed as standard. (4) the ability aspect of the overal content of the story got 61 as the percentage score and categoryzed as standard.
Best Solution for the Graphic Problem: A Single GPU or A Multi-GPU or An Upgradable GPU

Graphical Processing Unit (GPU) or in general graphic cards or VGA (Video Graphic Array) cards become major hardware of the computer world. After the development of the Graphical User Interfaces (GUIs) of Operating Systems (OSs), the most developed hardware after the processor is a graphic card. But a graphic card is consisting of a fixed amount of memory. It is the major limitation to use a graphic card for a certain big task because the memory limits the amount of data that can store in the graphic card. This paper briefly examines the possibility of installing more memory on a graphic card by the user according to the specific task.
Niños con grandes imaginarios: acercándolos al mundo de la ciencia

Although at present there are academic strategies for scientific dissemination, it is still a challenge for the general population to access quality information that is reliable, easy to understand and motivational towards science. This article proposes an image-based educational scientific dissemination tool with the goal of bringing children closer to science, through the recognition of relevant characters and their contributions. The study was developed along three stages. The first and second were conducted through a qualitative analytical approach with an interpretative perspective, using a documental method, with a review and analysis technique. During the first stage, a review and selection of studies related to scientific dissemination for children was conducted. The second one focused on the identification and selection of scientific characters, through the establishment of categories and criteria. The third stage relates to the design of outstanding characters’ biographical cards. The main contribution of this proposal is the assembly of a semantic network to portray a completed character profile, time context, place of origin, contributions, impacts, acknowledgements or prizes, as well as limitations or difficulties in context. Therefore, a mean of disclosure was devised through cards with a highly graphic and animated content regarding scientific characters sized in a gaming strategy called ‘Sapiencia’, a ludic and motivational learning tool
Climbing modes and exploring mixtures: a journey in density-based clustering

The density-based formulation aims at recasting the clustering problem to a mathematically sound framework, by linking the groups to some features of the density assumed to underlie the data. Even if early probabilistic approaches to cluster analysis can be traced back to fifty years ago, the topic has recently found a renewed and vibrant interest in the scientific community. This may be motivated both by the computational advancements witnessed in the last years and by more conceptual and substantial reasons. The increased availability of mixed type and complex structured data has indeed required a rigorous formalization of the clustering problem.Stemming from the same roots, density-based clustering has been developed following two distinct paths. In its parametric formulation, a connection among groups and unimodal components of a mixture model is drawn. On the other hand, according to the nonparametric paradigm, clusters are seen as the domains of attraction of the modes of the density. Revolving around this approach to clustering, the thesis explores both the formulations by highlighting at the same time contact points and dissimilarities. Moreover differently structured data are considered ranging from the unidimensional setting to more complex three-way structure. Three main contributions can be highlighted. In the first one we derive some asymptotic results to address nonparametric density estimation from a clustering-oriented perspective. In the second contribution we propose an ensemble approach for density-based clustering, which inherits the strengths from both the parametric and the nonparametric formulation, and possibly enhances the robustness and the stability of the partitions. The third contribution addresses the problem of clustering complex multivariate time-dependent data by adopting a parametric approach and proposing a flexible modification of the Latent Block Model.
A Novel Framework For Malicious URL Detection Using Hybrid Model

Web searching is a process where a software program searches the database and gathers information related to the specified terms. Search is done with the help of search engines like Google, Bing, etc. Generally, the search engines offer search engines through which users are allowed to search for the required content via World Wide Web (WWW). The WWW includes massive amounts of data sites where it gets difficult to obtain the relevant data. These days, web users experience problems with information overload and sink because the amount of information and number of users has grown significantly and rapidly. In general, clients can enter keywords in the search engines to get the appropriate data. The search engines return a list of URLs as a result in a ranked order. Clients will most often choose the first link as the most relevant link for the requested data. However, sometimes it so happens that users may click the top-ranked URLs, which may not be the legitimate URL, and by doing so, users' data will be stolen by third-party attackers. Many scientific studies show that the number of methods is based on machine learning to detect malicious URLs. In this paper, we have proposed a hybrid model to see the given URL is a phishing URL or not.
Non-academic learning in basic education teacher training

This text analyzes the inclusion of non-academic learning in teacher training policy and its implications in teaching work, based on the experience of a group of basic education teachers who participate in a postgraduate degree in education in Northern Mexico The objective of the qualitative work was to make visible the non-academic learning related to the professional improvement of basic education teachers in order to determine lines of action for their inclusion in teacher training. The theoretical discussion was based on the ecologies of teacher training, soft skills and life skills. The study concludes that: there are significant advances in the incorporation of non-academic learning in teacher training, though, its accessory inclusion causes ambiguity in its implementation and evaluation; still, the teaching experience shows achievements in the development of interpersonal, cognitive and emotional skills. However, skills such as negotiation and teamwork require strengthening; Finally, the humanist paradigm, experiential learning, service-learning and research with social impact are recommended as alternatives to promote non-academic learning in the postgraduate teaching.
Copper wire crooks: Help ID suspects seen stealing from construction site; one carried dog during the crime

Detectives are asking for your help to identify a crew of copper wire thieves who thought they were pretty crafty until some good security foiled their plan.
Research on the Influence of English Language and Literature on College English Acquisition Ability

At present, the development of education in China has gradually changed from the traditional test-oriented education model to quality education. In the teaching process, teachers should not only help students master basic knowledge and skills, but also pay attention to the cultivation of students' own abilities and pay attention to students' mental health. development of. English language and literature is to help students understand the cultural differences between China and the West more deeply through professional training and establish a firm and correct political direction. They will become practical English talents in the future. Not only that, English language and literature can be used as a good teaching expansion, bringing students a fresher English learning experience, and enhancing students' active participation in classroom is a good teaching aid. This article analyzes the current teaching situation of English language and literature, and puts forward more effective teaching strategies based on practical cases for reference.
Strategies for Positive Partial Transpose (PPT) States in Quantum Metrologies with Noise

Quantum metrology overcomes standard precision limits and has the potential to play a key role in quantum sensing. Quantum mechanics, through the Heisenberg uncertainty principle, imposes limits on the precision of measurements. Conventional bounds to the measurement precision such as the shot noise limit are not as fundamental as the Heisenberg limits, and can be beaten with quantum strategies that employ 'quantum tricks' such as squeezing and entanglement. Bipartite entangled quantum states with a positive partial transpose (PPT), i.e., PPT entangled states, are usually considered to be too weakly entangled for applications. Since no pure entanglement can be distilled from them, they are also called bound entangled states. We provide strategies, using which multipartite quantum states that have a positive partial transpose with respect to all bi-partitions of the particles can still outperform separable states in linear interferometers.