Reviewerly/exHarmony huggingface dataset:
Think-Pair-Share Technique for Improving Students' Writing at the Eleventh Grade

This research aimed to find out whether there is a significant difference in students’ writing achievement after the implementation of Think-Pair-Share technique and to know the students’ perception toward the implementation of the technique. One group pretest and posttest design and one-shot case study design were the approaches of this research. The instruments were writing tests and questionnaire. The result shows that there is a significant difference in students writing achievement on analytical exposition text after the implementation of Think-Pair-Share technique. The evidence can be seen from the result of analysis where the significant value is .000, the comparison between t-value and t-table (9.696&gt;2.034), and the mean of the score in pretest and posttest which increase 9.4 points. Furthermore, the results of the investigation on students’ perception were also found that the students had a positive perception since the gained percentage is 80,22%.
The Correlation between Students’ Grammar Mastery and Writing Ability in Descriptive Text of the First Grade Students in MAN 1 Bandar Lampung

The objectives of the study were to find out the correlation between students’ grammar mastery and writing ability and to find out what aspect of writing has the most correlation on students’ grammar mastery. This research used quantitative approach. The subject of the research was the first grade students of MAN 1 Bandar Lampung. It consisted of thirteen classes; the total number of population was 439 students. By using sample random sampling, the sample of this research was 40 students taken from twelve classes (3 and 4 students in each class). A set of the grammar test in the form of multiple choices was used to measure students’ grammar mastery and writing test was used to measure students’ writing ability. Pearson Product Moment Correlation in SPSS 25.0 for windows was applied in this research to analyze the data. The result indicated that there was a correlation between students’ grammar mastery and their writing ability since the significant value was 0.730 resided between 0.600 - 0.800, which means the strength is high correlation. The data indicated that Sig. (2- tailed) = 0.00 which was lower than 0.05. This suggests that a student who has high scores in grammar mastery, she or he also get a good score in writing. It was assumed that language use was the aspect of writing has the most correlation on students’ grammar mastery because; it was found that during the writing test, the students showed various errors, such as using incorrect tenses and unstructured sentences. From the research findings, it can be concluded that there was a positive correlation between students’ grammar mastery and writing ability in descriptive text and language use was the aspect of writing that most correlated with grammar mastery.
2D Heterostructure for High‐Order Spatiotemporal Information Processing (Adv. Funct. Mater. 7/2022)

Spatiotemporal Information Processing In article number 2108440, Ye Zhou and co-workers design a 2D heterostructure-based memtransistor to emulate the Bienenstock–Cooper–Munro theory, since such structures not only induce a spontaneous forgetting process but also offer another gate-tunable forgetting effect. The BCM learning rule is perfectly demonstrated on this memtransistor using triplet-STDP. Furthermore, high-order spatiotemporal recognition is achieved in a feedforward neuron network.
The mF mode of authenticated encryption with associated data

Abstract In recent years, the demand for lightweight cryptographic protocols has grown immensely. To fulfill this necessity, the National Institute of Standards and Technology (NIST) has initiated a standardization process for lightweight cryptographic encryption. NIST’s call for proposal demands that the scheme should have one primary member that has a key length of 128 bits, and it should be secure up to <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:msup> <m:mrow> <m:mn>2</m:mn> </m:mrow> <m:mrow> <m:mn>50</m:mn> </m:mrow> </m:msup> <m:mo>−</m:mo> <m:mn>1</m:mn> </m:math> {2}^{50}-1 byte queries and <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:msup> <m:mrow> <m:mn>2</m:mn> </m:mrow> <m:mrow> <m:mn>112</m:mn> </m:mrow> </m:msup> </m:math> {2}^{112} computations. In this article, we propose a tweakable block cipher (TBC)-based authenticated encryption with associated data (AEAD) scheme, which we call <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:mi mathvariant="sans-serif">mF</m:mi> </m:math> {\mathsf{mF}} . We provide authenticated encryption security analysis for <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:mi mathvariant="sans-serif">mF</m:mi> </m:math> {\mathsf{mF}} under some weaker security assumptions (stated in the article) on the underlying TBC. We instantiate a TBC using block cipher and show that the TBC achieves these weaker securities, provided the key update function has high periodicity. <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:mi mathvariant="sans-serif">mixFeed</m:mi> </m:math> {\mathsf{mixFeed}} is a round 2 candidate in the aforementioned lightweight cryptographic standardization competition. When we replace the key update function with the key scheduling function of Advanced Encryption Standard (AES), the <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:mi mathvariant="sans-serif">mF</m:mi> </m:math> {\mathsf{mF}} mode reduces to <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:mi mathvariant="sans-serif">mixFeed</m:mi> </m:math> {\mathsf{mixFeed}} . Recently, the low periodicity of AES key schedule is shown. Exploiting this feature, a practical attack on <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:mi mathvariant="sans-serif">mixFeed</m:mi> </m:math> {\mathsf{mixFeed}} is reported. We have shown that multiplication by primitive element satisfies the high periodicity property, and we have a secure instantiation of <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:mi mathvariant="sans-serif">mF</m:mi> </m:math> {\mathsf{mF}} , a secure variant of <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:mi mathvariant="sans-serif">mixFeed</m:mi> </m:math> {\mathsf{mixFeed}} .
IOT Based Person/Wheelchair Fall Detection System

Abstract: Keeping an in depth tab of recent folks or folks on chair with bound health conditions for his or her health and safety is a very important task. With maturity, weak bones and weakness because of alternative health connected problems could lead to will increase risk of falling. A supervisor might not continually be on the market with them and if correct assistance is not provided at the correct time it should cause larger health considerations which will need extra resources for treatment. For this purpose we've projected a wise IOT Fall Detection System exploitation acceptable sensors that square measure integrated facilitate to assist} report these incidents to assist avail help at the correct time to forestall additional injury to health. The same system uses sensors like associate degree measuring system to live the speed of the person, a rotating mechanism to live the person’s orientation so as to live their stability, a load sensing element once the system is employed by an individual employing a chair to live their weight, a Wi-Fi module and a microcontroller that sends the general readings to alert the involved those that shall give with the right suggests that to assist the person in want. The microcontroller receives all the info from the sensors and perpetually transmits and monitors the acceleration and also the orientation of the person. Any fast abrupt modification within the system which will result from a fall is taken into account as a ‘fall’ and is reported. A serious concern would be that not all fast movement may end up from a fall and be thought of as a matter of concern. To avoid this warning a nap button is provided to snooze the system. This button will be ironed before a definite time say 15-30 seconds to prevent the system from causation the alert, thus avoiding any confusion and panic. This method will be mounted to the person’s chair or will be created compact to be created into a wearable device which will be worn on the hand. Keywords: Measuring system, Gyro meter, Microcontroller
Pelatihan Aplikasi XRecorder untuk Media Pembelajaran Daring bagi Guru SD

The outbreak of the Covid-19 virus impacted changing learning activities from face-to-face to online. This transition raises many obstacles for teachers, especially the use of technology. SDN 2 Margoyoso teachers have difficulty making video explanations of subject matter. The teacher only sends text messages in the form of instructions for doing assignments without sending learning videos. This makes students bored and unable to understand the lesson's content well. This service activity aims to provide knowledge to SDN 2 Margoyoso teachers about the use of the XRecorder application for online learning media. This service activity was conducted at SDN 2 Margoyoso with one school principal and 13 teachers as participants. The action was held on February 15 and 18, 2021. The method used in this service was to provide interactive training and training. Furthermore, there is a two-way interaction in the training process to provide opportunities for teachers at SDN 2 Margoyoso as training participants to contribute their ideas, opinions, thoughts, and experiences. The training is carried out in several stages, including planning, implementation, follow-up, and evaluation. Training service activities were able to improve teacher skills in online learning innovation. This was manifested by teachers at SDN 2 Margoyoso being able to simulate and practice using the XRecorder application in online learning videos.
Error Analysis on Students’ Writing in Using Simple Present Tense in Descriptive Text

The objectives of this study are to know the types of errors and the dominant error made by the students of the ten grade of SMA Istiqlal. The researcher used the descriptive qualitative method as the research methodology. The data was collected from the written test done by the researcher. Based on the analysis that has done by the researcher, the result of the study found that all of the students produce error by total error 92 errors which classified into omission 46 error (50%), 5 error in addition (5,43%), 33 errors in miss-formation (35,86%) and 8 error in miss-ordering (8,69%). Thus, the dominant error was happened in the omission error by total error 46 errors (50%). The source of the error that made by the students are from interlingal and intra-lingual. However most of the errors are from the inralingual source which total 84 errors and 8 errors from inter-lingual.
Impact of Covid-19 Lockdown on Engineering Education System; A Survey Based Case Study in Pakistan

The education system in Pakistan is suffering a lot of challenges in this modern world of advanced technologies. The engineering and technical education system is implementing modern techniques to improve the quality of education. The current disaster of coronavirus has badly affected the operation of engineering education in Pakistan, and student and faculty members are suffering from several issues in implementing a successful online education of digital semester. Each stakeholder has their own problems to make online education efficient. A questionnaire survey has been conducted with students as well as faculty members of engineering disciplines from different institutions. Different problems and issues are discussed with both stakeholders to observe the flaws which have been suffered by Pakistan’s higher education in the engineering sector. The effect of teacher’s academic profile, their attitude, professional field experience and advanced skills were discussed with 1000 students randomly. Similarly, 100 faculty members were questioned regarding the problems of the digital education system and pandemic effects on their performance. Various observations are concluded with this short survey-based research, and some suggestions are provided to improve the quality of education in this pandemic situation. The proposed solutions include the training sessions for teachers to get quipped with digital technologies, enforcement of lab sessions by opening all institutions at least one day a week, and professional experience requirements for the eligibility of academic staff.
Real-time Vehicle Detection implementing Deep Convolutional Neural Network features Data Augmentation Technique

Background/Objectives: In this progressive Hi-Tech ecosystem, the cuttingedge technologies in the Deep Learning techniques for Vehicle Detection and Classification engendered swift paradigm shifts in diverse operations through the deployment of convolutional neural models in the Traffic Surveillance System.The fundamental element of the Traffic management system constitutes a real-time dynamic image, which forms the base input for vehicle recognition systems.The deep model functionalities on these base static images are highly pragmatic, and a radical approach leads to its successful applicability.Methods: This study proposes Faster Region-based Convolutional Neural Network (R-CNN) technique for image-based vehicle detection with significant performance benefits.Essentially, the base network of a pre-trained deep model, fine-tuned VGG-16 is transformed into Faster R-CNN.At this stage, the framework is constructed for a customized finitecapacity vehicle dataset.Subsequently, it is applied to train and test the system.From the performance lens, for further system enhancement, the speedup Bottleneck, and Data Augmentation implementation improve training speed and accuracy.Findings: The Experiments demonstrate that the sensitivity factor is 93.5% which provides acceptable results of 87.6% with 0.42s in vehicle detection in aspects of accuracy and execution time.Novelty : For our customized dataset, the performance-enhanced detection framework shows an increase of 4% in sensitivity and 3.23s with respect to time as compared to the other existing models.The proposed research is designed for a novel Faster RCNN algorithm that is fine-tuned detection algorithm of vehicles integrating sophisticated approaches for dynamic transformation of the live traffic video stream recording by transposing these real-time traffic videos to image inputs to this optimized detection framework achieving a high sensitivity factor with an efficient computation stack benefiting cost and time.
School quintile distribution in the Free State by population density

This figure was produced from open data sources to consolidate a map that contains a heatmap of population density with the different school quintile systems in the Free State Province. The data sources used to produce this figure are: &lt;div&gt;&lt;br&gt;&lt;/div&gt;&lt;div&gt;&lt;div&gt;https://www.education.gov.za/Programmes/EMIS/EMISDownloads.aspx&lt;br&gt;&lt;/div&gt;&lt;div&gt;https://www.education.gov.za/Programmes/EMIS/EMISDownloads.aspx&lt;br&gt;&lt;/div&gt;&lt;/div&gt;&lt;div&gt;https://dd.dhmis.org/index.html&lt;br&gt;&lt;/div&gt;&lt;div&gt;http://www.statssa.gov.za/?page_id=4286&amp;id=11294&lt;br&gt;&lt;/div&gt;&lt;div&gt;&lt;br&gt;&lt;/div&gt;
Residual Feature Fusion Attention Network For Single Image Super-resolution

At present, many image super-resolution methods use the residual structure to build a deep convolution neural network to improve the reconstruction effect, ignore the hierarchical features on the residual branches, and can not treat each region in the receptive field of the convolution layer differently according to the importance. Therefore, a residual feature fusion structure is proposed to make full use of the hierarchical features of each convolution layer on the residual branch to improve the reconstruction effect. Using the designed channel and spatial attention mechanism, the spatial information of the feature map is embedded into the channel attention to obtain the long-term dependence of the feature map and the position information of the low resolution image. In order to treat the important regions with more information in the original image differently, each convolution layer on the residual branch uses an improved asymmetric convolution block to enhance the influence of the salient features of the important regions in the extracted receptive field on the global features. All hierarchical features are connected together and fused into more representative features to reconstruct high-resolution images. The experimental results on five data sets show that the proposed method has better reconstruction effect than other models of the same scale.
Image Recommendation Model for Social Media

In recent years, social networks based on images are the most popular social interfaces. With colossal pictures transferred regular, understanding client’s inclinations on client produced pictures and causing suggestions to have become a critical need. In fact, many composite models have been proposed to intertwine different sorts of side data like image visual representation, social networks and client-image historical behavior for developing the performance of image recommendation. However, due to the special attributes of the client produced images in social interfaces, prior studies failed to identify the complex angles that impacts the client’s preferences. In addition, the greater part of these half and half models depended on predefined loads in consolidating various types of data, which for the most part brought about problematic suggestion execution in this paper we construct a recommended model based on the hierarchy of social images. In addition to latent client intrigue demonstrating in the well-known matrix factorization-based proposal, we distinguish three key angles (i.e., Trending history, user’s appraisal and owner admiration) that influence every client's latent preferences, where every aspect summarizes a logical factor from the complex connections among clients and images. From that point forward, we structure a hierarchical attention network that normally reflects the hierarchical relationship of client’s latent interest with the distinguished key viewpoints. Finally, we identified three social contextual aspects that influence a client’s preference to an image from heterogeneous data: Trending history, user’s appraisal and relevance recommendation, we designed a hierarchical attention network to recommend images according to client preference.
The Effect of a Training Program on Developing Some Orientation and Mobility Skills of Blind Students Integrated in Grade 10

Abstract The current study aimed to identify the effectiveness of a training program on developing some orientation and mobility skills for blind students integrated in grade 10. The study sample consisted of 8 blind students integrated into the tenth grade at Al-Dhamma School for Secondary Education. Students responded to the orientation and mobility skills scale prepared by the researcher and a training program prepared by the researcher. A quasi-experimental approach was used for the study, and statistical methods included Cronbach’s alpha, Spearman-Brown correlation coefficient, and Wilcoxon test. The overall results indicated the effectiveness of the training program on developing some orientation and mobility skills among blind students who were integrated into the tenth grade. Considering these results, the study recommended using the training program in developing some orientation and mobility skills of blind students who are integrated in the tenth grade. Keywords: Training program; orientation and movement skills; blind.
The role of nurses not caring for patients with diabetes mellitus and hypertension in primary care – SAH

The Family Health Strategy (ESF) has a fundamental role in care and aims to expand, define and consolidate primary health care. The nurse must be part of the ESF team and continuously work on the chronic disease control plan. The aim of this study is to describe the role of nurses in the care of patients with diabetes mellitus and hypertension in primary care. The methodology is a study of narrative literature review with an approach of exploratory, observational, retrospective studies that were searched in the literature 20 articles between 2010 and 2020. Results: In the assessment of the role of nursing cited by nurses' care, predominant nursing related to food and humidity, followed by glycemic control, blood pressure and nursing weight. On the other hand, the nursing process is a technology that allows humanized care in a systematic and dynamic way, with positive results and low cost. It is concluded that the role of the nurse as an educator is essential for both the patient and the family, and they must follow their guidelines in order to understand and realize the importance of the treatment and activities performed to improve the quality of life.
A Secure Data Storage Strategy for Private Cloud

In recent years, with the widespread application of cloud computing, more and more enterprises, institutions, and individuals have started to use cloud services to place their data in the cloud. With the rise of cloud services, the accompanying data security issues have received increasing attention. Because data stores are in the cloud, there are many outstanding security issues. This paper proposes a public cloud data security solution based on a trusted third-party platform. The solution is based on an independent and trusted third-party platform, and has certain advantages in data encryption, key management, data awareness, data sharing, and accident responsibility.
TIME AS A CRITERION FOR THE MOVEMENT OF SOCIAL PHENOMENA IN SPACE. FEATURES OF PERSONAL PERCEPTION OF TIME MOVEMENT

Рroblem statement in general.The question "what is time, what is the meaning of this phenomenon" is constantly of interest to scientists, from philosophical to apologists for classical and relativistic physics: they all tried to understand the meaning of time, to understand its nature and essential properties.This aspect is also important for representatives of legal science, although we must state that in the field of its attention this issue does not take up enough space.At the same time, scholars who are concerned with the essential nature of time have long noticed that its purely physical interpretation is quite narrow.In reality, time is somewhat incomparable, more fundamental than the duration, moment or interval than anything that can be expressed by the position of the hands or the position of the lights in the sky [1, p. 112].Addressing the universal process and taking into account social and cultural development, we should talk about the existence of time as a regulator of social relations, which has elements of historical, social and individual.The accuracy of a person's perception of time depends on a number of factors.For example, time, which is filled with interesting and colorful impressions, seems to us to be too fast.In turn, when a person retrospectively recalls these events, they seem very long.Instead, being, which is not filled with bright deeds, is presented as a long process, while mentions of it are quite short [2, p. 18].It is also proved that the conditions of professional and creative activity of a person affect his temporal perception.In particular, the complication of the nature of actions contributes to a significant underestimation of time intervals, and vice versa.The dependence of temporal perception on the emotional sphere of the perceiving subject has also been established.Not the same perception of time is inherent in people of different ages.This is manifested, for example, in different relations to such temporal categories as past, future, eternity.Young people are much more forward-looking, and older people are much more focused on the past, and their actions are retrospective.