Reviewerly/exHarmony huggingface dataset:
Feature pyramid random fusion network for visible-infrared modality person re-identification

Existing works in person re-identification only considers extracting invariant feature representations from cross-view visible cameras, which ignores the imaging feature in infrared domain, such that there are few studies on visible-infrared relevant modality. Besides, most works distinguish two-views by often computing the similarity in feature maps from one single convolutional layer, which causes a weak performance of learning features. To handle the above problems, we design a feature pyramid random fusion network (FPRnet) that learns discriminative multiple semantic features by computing the similarities between multi-level convolutions when matching the person. FPRnet not only reduces the negative effect of bias in intra-modality, but also balances the heterogeneity gap between inter-modality, which focuses on an infrared image with very different visual properties. Meanwhile, our work integrates the advantages of learning local and global feature, which effectively solves the problems of visible-infrared person re-identification. Extensive experiments on the public SYSU-MM01 dataset from aspects of mAP and convergence speed, demonstrate the superiorities in our approach to the state-of-the-art methods. Furthermore, FPRnet also achieves competitive results with 32.12% mAP recognition rate and much faster convergence.
Requirements to the modern level of the educational process in the field of professional training

"The main task of education is to provide students with the opportunity to independently set and implement educational goals, evaluate their achievements. The XXI century is the age of education. Thus, our thoughtful, intelligent and motivated learning through computer technology after higher education contributes to students’ interest in learning and their desire for improvement. Modern education is the implementation of quality education, the formation of students’ motivation, the development of professional qualifications. To achieve this goal, a set of measures and tools is needed, such as: improving the quality of educational materials, improving the content used in the lessons, and individual work directly with students. Such an education mechanism provides students with the opportunity to work independently, with the help of various learning tools, and encourages students to realize their potential and learn to work in a team. "
Tingkat Efisiensi Penggunaan Resep Dokter Spesialis Menggunakan Metode K-Means Clustering

The National Formulary (Fornas) is a list of drugs stipulated in a Decree of the Minister of Health of the Republic of Indonesia, which is used as a guideline for hospitals in drug supply for participants of the National Health Insurance (JKN) program. Doctor's prescription is one indicator of the quality of hospital services. Prescribing drugs based on guidelines will provide efficiency in the supply of drugs. The purpose of this study was to facilitate controlling drug supplies, safe use of drugs and control costs and quality of treatment. K-Means Clustering is a method of grouping data into clusters using the K-Means algorithm. The data used in this study was a specialist doctor's prescription in December 2019 which was sourced from the Pharmacy department of the Meranti Islands District Hospital. The results of this research with the K-Means Clustering method consisted of 3 (three) clusters, namely cluster 0 obeying Fornas as many as 2 polyclinics, cluster 1 being less obedient to Fornas as many as 2 polyclinics and cluster 2 not obeying Fornas as many as 3 polyclinics. This research can be used as a reference and evaluation to hospital management on the efficiency level of using specialist doctor's prescriptions in improving the quality of hospital services.
Research on malicious Web Page Detection algorithm based on Deep Learning

In recent years, malicious web page detection mainly relies on semantic analysis or code simulation execution to extract features, but these methods are complex to implement, require high computational overhead and increase the attack surface.For this reason, a malicious web page detection method based on deep learning is proposed.Firstly, simple regular expressions are used to extract semantically independent tags directly from static HTML documents.Then the neural network model is used to capture the local representation of the document on multiple hierarchical spatial scales, and the ability to quickly find small malicious code fragments from web pages of arbitrary length is realized.this method is compared with a variety of baseline models and simplified models, and the results show that this method achieves a detection rate of 96.4% with a false alarm rate of 0.1%.Better classification accuracy is obtained.the speed and accuracy of this method make it suitable for deployment to endpoints, firewalls and Web agents.
CGAN-filter for model-free photovoltaic scenario generation with conditional maximum mean discrepancy indicator

It is difficult to produce credible photovoltaic (PV) scenarios depending on required accuracy, climate, cloud, and other environmental conditions. To resolve it, this paper presents a model-free approach to generate efficient PV scenarios through learning the inherent distribution of historical data based on conditional generative adversarial network (CGAN). Unlike probabilistic models with specific system models, the proposed CGAN-Filter obtains solar energy production patterns by discovering distribution characters and uncertainties in temporal dimensions. In order to offset severe disturbances in PV scenarios caused by random clouds and climates, a filter layer is designed between the two neural networks in CGAN to reduce amplified environmental randomness. Additionally, to observe learning processes of the proposed approach, a conditional maximum mean discrepancy (C-MMD) is theoretically and practically demonstrated to be able to monitor the performance of PV scenario generation. Experimental results on real-world PV scenario datasets have validated the effectiveness of our proposed approach.
Analisis Kualitas Website Institut XYZ Menggunakan Metode Webqual dan IPA

A good website is a website that is in great demand by users and provides good information to its users. One of the website applications that can be seen is in universities. To measure the quality of the XYZ Institute website, indicators that affect the quality of the website are needed from the point of view of educators, lecturers and students. Therefore, the methods used to measure the quality of the XYZ Institute website are the Webqual and IPA methods. The description of this research is whether there is an effect of the quality of the XYZ Institute website on usability indicators. Is there an effect of the quality of the XYZ Institute website on the indicators of information quality (Information Quality, is there an effect of the quality of the XYZ Institute website on the indicators of service interaction quality), and, is there an effect of the quality of the XYZ Institute website on the overall indicators. Is there an influence on the quality of the XYZ Institute website with a comparison the level of importance and level of performance in the IPA method. There is a significant influence between usability, quality information and service interaction quality on user satisfaction both partially and simultaneously. In the IPA method in developing the Institute website XYZLubuklinggan In quadrant I has an important priority where the indicators in quadrant I are indicators X16 and X17 and this quadrant is not in accordance with user expectations and has a high level of importance. In Quadrant II the XYZha Institute website rus maintains the indicators are X4, X8, X10, X12, X14, X16, X18, in quadrant III can ignore a little of importance the indicators are X1, X2, X3, X5, X11, X15, and quadrant IV are considered to have a low level of importance but the level of performance on this website is considered very good for users whose indicators are X6 and X7.
Research on grain storage temperature prediction model based on improved long short-term memory

Stored-grain temperature is the most important factor in grain storage. According to the measured data, the temperature in the grain pile can be effectively predicted, which can find problems in advance, reduce grain loss and increase grain quality. Long Short-Term memory (LSTM) can perform better in longer sequences than ordinary RNN. This paper is applied to the analysis of big data of grain storage and the early warning of grain storage temperature. In this paper, the selected LSTM is optimized and the early warning model of grain situation is established, and the analysis steps of the early warning model are given. In order to verify the availability of the improved LSTM network structure, RNN and three variants were used to predict the grain temperature under the same conditions, the prediction effect of the improved CLSTM is better.
The Economy Suffer Stagnancy When Dominated With the Activities of Small Business Owners in Africa.

The Paper seek to establish and bring to bear the unknown fifth factor of economic stagnancy theory, identified as a high ranked economic symptom of developing and under developed economy which contribute to poor macro-economic policy design and decision making. Furthermore; posit that such behavioural economic symptom was a contributing factor to the failure of most of the World Bank programmes in early 1980s up to date to empower the successful growth of small and medium scale enterprise in developing and under developed economy of Africa.
The Effect of Corporate Governance on Export Performance of Iranian Listed Companies

This research aims to investigate the effect of corporate governance mechanisms on export performance. The statistical population includes 98 export companies listed on the Tehran Stock Exchange from 2010 to 2016. Data mining and statistical analysis are used to test the research hypotheses. This paper operationalizes the corporate governance mechanisms by the board of directors' independence, the concentration of ownership, and institutional investors. It further operationalizes export performance by export sales, export sales intensity, and the volume of export sales. The results show that ownership concentration has a significant effect on export sales. Furthermore, institutional investors have a significant effect on the volume of export sales. The current study may give great direction to companies exporting their products. In addition, the results also give researchers a path to focus on the current subject, especially in a developing country like Iran.
Lanczos recursion on a quantum computer for the Green's function

The technique of quantum counting is used to obtain coefficients from a Lanczos recursion from a single ground-state wavefunction on the quantum computer. This is used to compute the continued fraction representation of a general Green's function, which can be useful in condensed matter, particle physics, and others. The wavefunction does not need to be re-prepared at each iteration. The quantum algorithm represents an exponential reduction in memory required over classical methods.
Research on the Reform of MySQL Information Teaching in Colleges and Universities

With the gradual development of 5g communication and the improvement of information platform, the reform of education has become inevitable. Vocational education, which is in the forefront of educational reform, is the first to enter the period of reform. This paper attempts to study the reform of MySQL course informatization teaching in vocational information computer major, from the curriculum content reorganization, curriculum resource integration, teaching process reform, curriculum reform. The whole process of assessment is discussed in several aspects.
Hubungan antara Motivasi Menulis dan Penguasaan Diksi dengan Keterampilan Menulis Laporan

&lt;p&gt;&lt;strong&gt;Abstract. &lt;/strong&gt;&lt;em&gt;This study aims to 1) know whether or not there is a relationship between writing motivation and report writing skills; 2) knowing whether or not there is a relationship between mastery of diction and report writing skills; 3) know whether or not there is a relationship between writing motivation and mastery of diction together with report writing skills. The research was conducted using correlational methods. Data collection techniques using tests and questionnaires. The data analysis techniques used in this study were simple correlation analysis and double correlation analysis. Based on the results of data analysis it can be concluded that 1) there is a significant relationship between writing motivation and report writing skills namely coefficient of correlation r count (0.99) &amp;gt; r table (0.17) with t count significance (108.33) &amp;gt; t table (1.65); there is a significant relationship between diction mastery and report writing skills i.e. coefficient of correlation r count (0.97) &amp;gt; r table (0.17) with t count significance (50.93) &amp;gt; t table (1.65); there is a significant relationship between writing motivation and diction mastery together with report writing skills namely r count (0.99) &amp;gt; r table (0.17), F count significance (4396.54) &amp;gt; F table (3.07) with a real level &lt;/em&gt;&lt;em&gt;á&lt;/em&gt;&lt;em&gt; = 0.05 and df 128.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Keywords: &lt;/em&gt;&lt;/strong&gt;&lt;em&gt;writing motivation, diction mastery, report writing skills, elementary school&lt;/em&gt;&lt;/p&gt;
PENINGKATAN MOTIVASI BELAJAR SISWA MELALUI MEDIA GAMBAR PADA MUATAN SBdP DI KELAS II SDN 1 ARGA MULYA TAHUN AJARAN 2019/2020

This research was conducted to see the process of increasing student motivation through picture media in thematic lessons on SBdP content. The method used in this research is descriptive qualitative research using classroom action research (PTK). In general, there are four steps used in classroom action research, namely implementation, observation, action and reflection. In addition, it also uses three cycle steps in classroom action, namely Pre Cycle, Cycle I and Cycle II. The research instruments used were observation, questionnaires and documentation. Based on the results of the study, it was found that in the learning process where students' learning motivation had increased motivation in each cycle. This can be seen using the analysis of student learning motivation questionnaire, where the first cycle of the student motivation questionnaire with a high category was 44% and in the second cycle increased to 80.5%. From the results obtained, it can be said that the strategy used in thematic lessons on SBdP content can increase the learning motivation of grade II students of SDN 1 Arga Mulya. This classroom action research was conducted in two cycles, namely cycle I and cycle II, which consisted of two meetings in each cycle. During the learning process, observations were also made on teacher teaching and student activities in the application of image media. Based on the questionnaire analysis of students' learning motivation for each cycle, it can be seen that the student's learning motivation from each cycle has increased. In the implementation of the learning process, a high category student motivation questionnaire was obtained as much as 44% in the first cycle and in the second cycle the value was 80.5%, with a difference of 36.5% in value. Increased student motivation, apart from being influenced by learning strategies, there is encouragement from outside such as giving gifts to students.
Indonesian Language Learning Methods in Australian Elementary Schools

Previous studies have largely focused on the importance, problems, and challenges of teaching second languages in Australian schools, but very few have investigated the teaching methods used in the classroom to do so. Therefore, the purpose of this study is to identify the methods applied by teachers who teach Indonesian as a second language in one of the public primary schools in South Australia to enable their Australian students to comprehend the instruction in the Indonesian class. The data were collected through observational field notes and video recordings of three class meetings from two teachers. Evidence gives validity to analysis, and thus the data were analysed using the transcription conventions as proposed by Burns, Joyce & Gollin (1996). The results showed that the most frequently used methods by the teachers in teaching Indonesian to the Early Year level students were TPR (total physical response) and GTM (grammar-translation method). TPR was useful as the act of moving around seemed to help the children remember the vocabulary. Furthermore, GTM helped the teachers clarify the meanings of words and sentences for the students by translating them into their first language, i.e. English. These methods were not taught in isolation but were integrated by the teachers with other methods such as the direct method and audio-lingual method. The reflection of this teaching practice is considered a worthwhile contribution for other teachers who are also teaching Indonesian in other countries and as additional insights to immerse themselves in their language teaching practice. Moreover, considering the benefits of becoming bilingual, such as in communication, culture, cognition, character, curriculum, and economy, schools should provide more training for teachers to help them be able to use the best techniques in teaching the second language to enable and empower them to integrate other languages into their classes.
Implementasi pembelajaran tematik berbasis sistem dalam jaringan di kelas III sekolah dasar

&lt;p class="Abstract"&gt;&lt;em&gt;This research aims to describe implementation of system-based thematic learning, in terms of supporting and inhibiting factors, efforts to optimize supporting factors, and overcoming inhibiting factors. This research was conducted at thrid grade SDN Tunggulsari II Laweyan Surakarta. This research used descriptive qualitative methods. The subjects of this research were teachers, students, and parents. Data collection techniques were observation, interviews, and document study. Implementation of online system-based thematic learning to regard condition of students and parents considerations. In implementation there are supporting factors are interest in learning, maximum parental assistance, availability of mobile phones, internet quota, and a stable network. While the inhibiting factors are lazy to learn, less maximal parental assistance, limited cellphone facilities, internet quota limited, and unstable network. Efforts to optimize the supporting factors are motivation and data collection on the distribution of internet quota assistance on a regular basis. Efforts to overcome inhibiting factors are teacher motivation and assistance, between parents and students, as well as the role of the community. This research is important for improve learning during the Covid-19 pandemic.&lt;/em&gt;&lt;/p&gt;
Hubungan antara penguasaan literasi sastra dan minat belajar dengan kemampuan menulis cerita anak pada peserta didik kelas iv sekolah dasar

&lt;p class="Abstract"&gt;&lt;em&gt;This study aims to determine (1) whether there is a relationship between mastery&lt;/em&gt;&lt;em&gt; of literary literacy and wri&lt;/em&gt;&lt;em&gt;te children’s s&lt;/em&gt;&lt;em&gt;tory; 2) the relationship of &lt;/em&gt;&lt;em&gt;interest to learn with the&lt;/em&gt;&lt;em&gt; ability to write &lt;/em&gt;&lt;em&gt;children’s story; (3) the relationship between&lt;/em&gt;&lt;em&gt; mastery &lt;/em&gt;&lt;em&gt;literary literacy and &lt;/em&gt;&lt;em&gt;interst to learn with the ability to write &lt;/em&gt;&lt;em&gt;children’s story. The method used is the &lt;/em&gt;&lt;em&gt;survey correlational method. The sample is &lt;/em&gt;&lt;em&gt;4 elementary schools, totaling &lt;/em&gt;&lt;em&gt;112 students. Data collection using tests and questionnaires. The ability to writ&lt;/em&gt;&lt;em&gt;e children story is used in the form of a composing test instrument, an instrument of &lt;/em&gt;&lt;em&gt;interest to learn used in the form of a questionnaire, mastering&lt;/em&gt;&lt;em&gt; literary literacy of data variables obtained with choice test. Data were analyzed using&lt;/em&gt;&lt;em&gt; simple correlation and multiple correlation analysis. The results showed that (1) there was a significant relationship between &lt;/em&gt;&lt;em&gt;literary literacy mastery with the ability to write &lt;/em&gt;&lt;em&gt;children storyr rcount (&lt;/em&gt;&lt;em&gt;0,98)&amp;gt; rtable (&lt;/em&gt;&lt;em&gt;0,192), the correlation coefficient tested by t test, the results of tcount (&lt;/em&gt;&lt;em&gt;65,08)&amp;gt; ttable (1.&lt;/em&gt;&lt;em&gt;98); (2) there is significant the relationship between &lt;/em&gt;&lt;em&gt;interest to learn and&lt;/em&gt;&lt;em&gt; write children story ability price r count (&lt;/em&gt;&lt;em&gt;0,99)&amp;gt; r table (&lt;/em&gt;&lt;em&gt;0,185), the correlation coefficient is tested by t test, the &lt;/em&gt;&lt;em&gt;ttcount (&lt;/em&gt;&lt;em&gt;65.0&lt;/em&gt;&lt;em&gt;8)&amp;gt; Table (1.&lt;/em&gt;&lt;em&gt;98); (3) there is a significant correlation between &lt;/em&gt;&lt;em&gt;literary literacy and&lt;/em&gt;&lt;em&gt; interest to learn together with the ability to write narration. ry (1,2) equal to 0.9&lt;/em&gt;&lt;em&gt;7, the coefficient of significance with the F test obtained F count = &lt;/em&gt;&lt;em&gt;27517.35, the real level á = 0, 05, with df &lt;/em&gt;&lt;em&gt;109 obtained Ftable = 3.&lt;/em&gt;&lt;em&gt;08 then Fcount&amp;gt; Ftable. Thus, it can be concluded that mastery of&lt;/em&gt;&lt;em&gt; literacy and &lt;/em&gt;&lt;em&gt;interest of learn has significant relationship with students' ability to write &lt;/em&gt;&lt;em&gt;children story.&lt;/em&gt;&lt;/p&gt;