Reviewerly/exHarmony huggingface dataset:
First Aid Education Media for Fracture Victims Through Android Applications on Student Knowledge

Heavy traffic increases the number of accidents. One of the accidents resulted in a fracture. High school students are competent to be trained, where they coexist with the broader community, enabling them to become victims or helpers in emergencies. This study aims to determine the effect of first aid education for fracture victims with android application media on the knowledge of the members of the Youth Red Cross at SMAN 3 Sukadana. This research is a quasi-experiment with a pre and post-test control group design model. The number of samples, as many as 26 people,e were divided intotwo2 groups. The results showed that the mean value for the pretest intervention group was 31.,31 with a standard deviation of 11.77. Meanwhile, the posttest means 90.15 with a standard deviation of 9.71. The difference between the mean pretest and posttest was -58.846 with a standard deviation of 10.792, 95% CI -65.367 - -52.324, and p 0.000. The mean value for the pretest control group was 34.31, with a standard deviation of 5.97. While the post-test mean is 40.46 with a standard deviation of 10.82. The mean pretest and posttest were -6,153 with a standard deviation of 12,661, 95% CI -13,804 - 1.497, and p 0.105. This study concludes that there is a significant effect on first aid education for fracture victims using android application media on the knowledge of PMR members of SMAN 3 Sukadana with p = 0.000 (&lt;0.05).
The characteristics of the difference in visual perception attentional concentration between generations in the eye-tracking experiment

In this study, the characteristics that have changes in the number of observations, observation frequency, and pupil size for each generation were summarized through eye-tracking experiments and analysis in their twenties and sixties. The characteristics of each subject may intervene in the process of coding observation data, therefore the characteristics of visual attentional concentration differences between generations are outlined by including the process of determining attentional concentration in the process of rearranging the characteristics of all subjects. The study results can be defined in the following ways. First, in comparison of the number of observations by generation using a trend line, the subjects in their twenties who increase the number of predominant observations for a certain period of time, but it slowly decreases after. However, it is able to recognize that the subjects in their sixties dedicate themselves to observing more with the passage of time. Second, in all the generations, the trend of increasing the observation frequency at the initial observation time is identical, but while the subjects in their sixties continue to increase and then decrease, the subjects in their twenties tend to decrease and then rapidly increase. This means that there is a difference in the way of observing the given space according to age, therefore it can be the basis for knowing that there is a clear difference between generations in fixation and movement of observation. Third, the pupils of the subjects in their twenties and sixties both enlarge until a certain time, but the pupils of the subjects in their twenties slowly decrease, whereas there are many subjects in their sixties that continue to enlarge. This can be understood as the fact that the subjects in their sixties had a relatively higher level of ‘novelty about stimulation’ about the experimental space compared to the subjects in their twenties.
Service Performance Evaluation of ITS Library Institution Repository Website

The ITS library as a unit that supports the ITS industrial revolution 4.0 strategy must make improvements to the application of information technology services to users. The ITS library repository website as a portal for storing scientific works of the ITS academic community is one of the information technology services that is often used by the ITS academic community (siva), but there has been no development for more than 5 years. For this reason, it is necessary to research evaluating the service quality of the ITS library repository website using webqual 4.0, which includes 3 (three) dimensions, namely: usability, information quality, and service interaction quality. The method used is a survey of distributing questionnaires to ITS final semester students who use the repository's independent upload service. As many as 100 students use the repository's independent upload service, then an IPA analysis (importance performance analysis) is carried out to determine the level of user satisfaction. The measurement results of the evaluation of the ITS Library repository website show a gap of -0.7, meaning that user satisfaction with the ITS Library repository website has not yet been achieved, while the IPA matrix diagram shows 2 (two) service indicators that are prioritized for quality improvement, namely interaction with the ITS repository website, which is safe from viruses and hackers when accessed via a PC or smartphone, and a quick search menu (title, author, supervisor, department) that gives inaccurate search results.
INVESTIGATING AN ONLINE ENGLISH TEACHING IN AN INDONESIAN ELEMENTARY SCHOOL

Investigation of online English learning is implemented in Jombang. This study aims to determine the online learning process during the Covid-19 pandemic. Some of the inhibiting factors in the implementation of online learning are the lack of parental support, few students who have smartphones, student laziness and lack of motivation to learn, difficult to control and evaluate student assignments. While the supporting factors obtained by the teacher when carrying out online learning are more online learning materials, time and place efficiency, and learning materials can be stored safely on smartphones. This research was conducted with descriptive methods and data collection techniques by interviewing English teachers. The result of the research is the implementation of online English learning in one of the elementary schools in Jombang, using the WhatsApp application as an online learning medium. Submission of materials and assignments is done through the WhatsApp group media.
Decoupled SCP-based trajectory planning in the complex environment for multiple fixed-wing UAV systems

This paper presents a minimum-time cooperative trajectory planning algorithm based decoupled sequential convex programming (dSCP) method for multiple fixed-wing UAVs, which can improve computational efficiency. Firstly, the complex obstacle model and the model of the nonlinear dynamics for the fixed-wing UAV are constructed. Secondly, through the convex optimization theory, the obstacle avoidance and collision avoidance constraints are convexified appropriately and the framework of the decoupled SCP is shown. Thirdly, the cooperative minimum-time trajectory planning problem for multiple fixed-wing UAVs is solved by decoupled SCP, which ensures the same arrival time, cooperative obstacle avoidance, and collision avoidance. Finally, the simulation shows the comparative results to prove the effectiveness of the proposed algorithm.
Comparison of Multi-Parent Crossover Operators for Feature Selection

Genetic algorithms (GA) are mostly used for feature selection in literature. In this study, multi-parent crossover operators are used in genetic algorithms for feature selection. The uniform crossover, occurrence-based crossover, fitness-based crossover, and diagonal crossover are considered as multi-parent crossover operators. Binary representation is used for encoding a candidate solution in GA. The empirical evaluation of these operators is performed on three different datasets with different numbers of features. We perform Oneway ANOVA and Tukey HSD tests at a confidence level of 95 % for statistical comparisons of algorithms. The experiments are conducted into two parts: (1) In this part, we investigate the effect of the number of parents for each multi-parent crossover operator, (2) we compare the performance of these crossover operators with the best setting. The results reveal that occurrence-based crossover with 5 parents outperforms the other crossover operators, however it selects more attributes.
SIGACT News Complexity Theory Column 113

My deepest thanks to Nutan Limaye, Srikanth Srinivasan, and Sebastien Tavenas for their fascinating article, Lower bounds Against Constant-Depth Algebraic Circuits.
Influencing factors and promoting strategies of college students' mobile learning: From the perspective of self-regulated learning

With the continuous development of mobile Internet technology and mobile communication technology, mobile learning, as an independent and flexible learning mode, has incomparable advantages in traditional teaching and is widely welcomed by college students, becoming a new way for college students to learn autonomously. This paper mainly discussed the advantages of mobile learning in promoting college students' self-regulated learning, and analyzes the influencing factors of mobile learning-based college students' self-regulated learning. Then, from the aspects of hardware equipment, course resources, learning strategies and so on, we put forward strategies to improve college students' self-regulated learning ability under the background of mobile learning, which will bring enlightenment to the future research in related fields.
Research on the Construction of Online Course of Advanced Mathematics in the Era of Smart Education

In the era of smart education, the process of college education informatization is advancing rapidly, and the online course construction of advanced mathematics is in full development. However, there are still many problems in the platform construction, resource allocation and other aspects of the online course of advanced mathematics, which are caused by the insufficient platform development and lack of overall planning. Based on this, to promote the construction of online courses in advanced mathematics, we should implement differentiated teaching, promote the deep integration of information technology and subject teaching, strengthen the co-construction of resources, and build an all-round open learning platform.
Opportunities, Challenges and Responses of Children's Education Empowered by Information Technology

The wide application of information technology has brought profound changes to education. The new era of information technology empowering education is an era in which technology is widely used as a tool, an era in which human thinking and concepts are greatly changed, and an era in which the entire education ecology is reshaped. Children's education has a profound impact on the development of children and their lifetime. The application of information technology in the field of children's education is conducive to promoting the individualized development of children, enriching and expanding resources for children's education, and achieving efficient governance of school education. But it is also challenged by children's psychological development, teachers' information literacy, and technical limitations. Exploring the way out for the development of informatization of children's education requires following the principles of technology serving children's development, improving teachers' information technology leadership, strengthening technological innovation and information ethics propaganda, and actively complying with new trends in future education development.
Research on Time Enhanced Cognitive Diagnosis in Intelligent Education System

Although there is no distinctive header, this is the abstract. This submission template allows authors to submit their papers for review to an ACM Conference or Journal without any output design specifications incorporated at this point in the process. The ACM manuscript template is a single column document that allows authors to type their content into the pre-existing set of paragraph formatting styles applied to the sample placeholder text here. Throughout the document you will find further instructions on how to format your text. If your conference's review process will be double-blind: The submitted document should not include author information and should not include acknowledgments, citations or discussion of related work that would make the authorship apparent. Submissions containing author identifying information may be subject to rejection without review. Upon acceptance, the author and affiliation information must be added to your paper.
A Multi-dimensional Equilibrium-depth Hash Image Retrieval Method

To maintain the semantic similarity of an image due to information redundancy of the hash code generated by the currently popular hash-retrieval method, this paper proposes a multi-dimensional equilibrium-depth hash method. With its multi-dimensional input, the method effectively improves the learning effect of the grids for image features, optimises the loss function, and considers the quantisation error and equilibrium of the hash code while keeping the semantic similarity to improve the quality of the hash codes. In a verification experiment on Flickr and NUS-WIDE datasets, the proposed method achieved higher retrieval accuracy than other hash methods.
An Adaptive Color Image Watermarking Scheme Using Combination of PSO-LTSVR in Wavelet Domain for Copyright Protection

With the advancement of internet technology, copyright protection and ownership assertion of multimedia content (audio, images and videos) is becoming a more challenging task. During last two decades various researchers raised the issue of watermarking for copyright protection and ownership assertion of multimedia contents, but still trying to find the better solution than the existing approaches. In order to handle the issues of imperceptibility and robustness evolved in color image watermarking, a novel color image watermarking approach in YCbCr space using discrete wavelet transform (DWT) and combination of particle swarm optimization (PSO) and Lagrangian twin support vector regression (LTSVR) is proposed. The low frequency wavelet coefficients of selected regions based on the human visual characteristics (HVS) is selected to embed the watermark. Considering the watermarking problem as an optimization and regression problem, PSO is used to find the optimal value of watermark strength to embed the watermark and LTSVR is used to extract the watermark against image processing attacks. With the combination of PSO-LTSVR in wavelet domain, the proposed approach reduces the trade-off between imperceptibility and robustness. The experimental results tested on different textured color images clearly reveal the imperceptibility of the watermarked images and robustness of the proposed scheme against JPEG compression attacks with different quality factors (QF) as quantified by peak-signal-to-noise ratio (PSNR) and bit correct ratio (BCR).
Prazer e sofrimento dos profissionais de enfermagem decorrentes do trabalho em clínicas cirúrgicas [Pleasure and suffering of nursing professionals arising from work in surgical clinics] [Placer y sufrimiento de profesionales de enfermería derivados del trabajo en clínicas quirúrgicas]

Objetivo: identificar as situações geradoras de prazer e sofrimento na equipe de enfermagem em clínicas cirúrgicas. Método: estudo qualitativo realizado com 30 profissionais de enfermagem de clínicas cirúrgicas. A produção de dados se deu por meio de entrevista semiestruturada no período de abril a novembro de 2019. Os dados foram processados pelo software IRaMuTeQ, e foi feita análise lexical pela classificação hierárquica descendente. Resultados: duas classes foram formadas e intituladas de situações geradoras de prazer e sofrimento na equipe de enfermagem. Conclusão: as situações geradoras de sofrimento foram condições inadequadas de trabalho, lidar com o quadro clínico e morte dos pacientes, falta de lazer e necessidade de fazer escolhas entre trabalhar e cuidar da família. As situações geradoras de prazer foram reconhecimento por parte dos pacientes e equipe, alta dos pacientes e colaboração entre os membros da equipe.ABSTRACTObjective: to identify situations that generate pleasure and suffering in the nursing staff in surgical clinics. Method: qualitative study, carried out with 30 nursing professionals from surgical clinics in a hospital. Data was obtained by semi-structured interviews from April to November 2019. Data processed by the IRaMuTeQ software, and lexical analysis was performed by the descending hierarchical classification. Results: two classes were composed and entitled situations that generate pleasure and suffering in the nursing team. Conclusion: situations that generate suffering were inadequate working conditions, dealing with the clinical condition and death of patients, lack of leisure and the need to make choices between working and caring for the family; situations that generate pleasure were recognition by patients and the team, patient discharge and collaboration between team members.RESUMENObjetivo: identificar situaciones que generan placer y sufrimiento en el personal de enfermería de las clínicas quirúrgicas. Método: estudio cualitativo, realizado con 30 profesionales de enfermería de clínicas quirúrgicas de un hospital. Producción de datos a través de entrevistas semiestructuradas de abril a noviembre de 2019. Datos procesados por el software IRaMuTeQ, análisis léxico realizado por la clasificación jerárquica descendente. Resultados: se generaron dos clases y situaciones tituladas que generan placer y sufrimiento en el equipo de enfermería. Conclusión: las situaciones que generan sufrimiento fueron las condiciones laborales inadecuadas, el enfrentamiento de la condición clínica y la muerte de los pacientes, la falta de ocio y la necesidad de elegir entre trabajar y cuidar de la familia. Las situaciones que generan placer fueron el reconocimiento por parte de los pacientes y el equipo, el alta del paciente y la colaboración entre los miembros del equipo.
Vehicle recognition based on Haar features and Adaboost cascade classifier

Abstract With the progress of world science and economic development, more and more industries are developing towards intelligence and automation. In the field of intelligent driving, the intelligent vehicle environment perception method based on machine vision has become a hot research topic. Based on monocular vision system, aiming at the requirements of different target features and detection accuracy and efficiency, this paper improves the Haar feature and Adaboost cascade classifier recognition algorithm combined with gray symmetry method to adapt to the recognition environment required by vehicles. The measured results show that the improved vehicle identification method combined with the tracking method based on Kalman filter can reduce the misjudgment rate of vehicles and has good real-time performance.
A clustered oversampling coupled random forest classification method

Abstract To address the limitations of current classification prediction models, an algorithm DPC-ASMOTE-IRF for Clustering by fast search and find of density peaks (DPC) with adaptive SMOTE (ASMOTE) coupled with improved random forest (IRF) is proposed. The algorithm first introduces in the data processing stage DPC clustering algorithm to cluster the samples, and proposes ASMOTE oversampling technique to process a minority class of samples to get relatively balanced samples. In the algorithm stage, the model’s overall classification performance for unbalanced data is improved by assigning weights to each decision tree in the random forest through the classification accuracy. The experimental results show that the classification performance indexes of the proposed method are all improved compared with similar classification experimental models.
Classification of the Libyan International Internet Traffic using Deep Packet Inspection Tools

Network Traffic Classification is very essential for Internet service providers (ISPs) and helping them in defining and adapting the priorities. A lot of decisions and actions are taken depending on the traffic classification. That is for both commercial and technical issues. In this paper, different approaches were developed to classify the internet traffic data from different point of views, namely, Traffic Types, URL Categories and Visited websites. The classification was done for each of these types depending on traffic amount and the number of accessing counts.These approaches were applied on a data collected and obtained from the Deep Packet Inspection (DPI) tool installed in the Libyan International Telecom Company (LITC) network, which is representing the only international gateway to Libya through different ports. In order to reduce the international traffic, LITC installed cache servers on its network four years ago. The used data in this work were taken before and after installing these cache servers, to show the changed happened to the network and how cache severs affecting the amount and the nature of the international traffic.The result shows that a large portion of the internet data passing through the Libya gateways is for social network, streaming and search engines, especially for Facebook, YouTube, and Google websites. And the impact of installing cache servers was dominant in these categories.
A Comparative Study on Various Deep Learning Techniques for Arabic NLP Syntactic Tasks on Noisy Data

Natural language processing (NLP) has three basic tasks divided into two levels, lexical, which includes Tokenization task and syntactic level which includes Part Of Speech tasks (POS) and Name Entity Recognition (NER) tasks. Recent research has demonstrated the effectiveness of deep learning in many NLP tasks including NER, POS, sentiment analysis, language modeling, and other tasks. This study focused on the utilizing of Long Short-Term Memory (LSTM), Bidirectional Long Short-Term Memory (BLSTM), Bidirectional Long Short-Term Memory with Conditional Random Field (BLSTM-CRF), and Long Short-Term Memory with Conditional Random Field (LSTM-CRF) deep learning techniques for tasks at the syntactic level; and to compare their performance on noisy data. The models were trained and tested by using KALIMAT corpus with simulated noise on testing dataset. For evaluation purpose, F1-score was used, where the results of our experiments showed that a BLSTM-CRF model surpassed the rest of other models in the NER task at a low noise level, while the LSTM-CRF model obtained a higher F1-score at a higher noise level. With respect to the POS task, the BLSTM-CRF model gained the highest F1-score in all noise levels equated to the other competitive models.
Advanced System Requirements for Automotive Automation

The automotive industry is more influenced by the requirements of engineering in both the phase of software development lifecycle and a subdomain of software engineering. It plays a significant role during the communication and organization structure of an automotive system. In general, “requirements” are defined because of the description of the functionality of software under design and its properties (functional and nonfunctional requirements). Requirements are often perceived as textual documentation. In automotive software engineering, the requirements are in many different forms—including the problem statement to its completely executable model with appropriate safety measures. In this chapter, we overview the notion of a requirement generally and describe the categories of requirements used when designing automotive software systems by emphasizing on identification of problems or challenges faced in automotive requirement engineering with reference to communication and organization structure. It's difficult but increasingly important to determine communication channels outside the fixed organization structure.