Reviewerly/exHarmony huggingface dataset:
A Hybrid Approach for Video Indexing Using Computer Vision and Speech Recognition

As the data over the Internet is growing rapidly, similarly, the videos are growing day by day. Current search methodologies use metadata-based tagging for the retrieval of search queries, which can sometimes be deceptive. We propose a novel method for searching the videos by their content by extracting their key frame to offer a visual guideline and then extracting optical character recognition metadata, as well as speech recognition on speech tracks. Later, we will combine them to perform a content-based search of the video by extracting the keywords. The proposed architecture is proved effective by evaluation, which uses a combined approach to merge computer vision and natural language processing methods for a greater good.
TWO MODES OF SINGULARITY: TECHNOLOGICAL AND ANTHROPOLOGICAL

The article deals with two concepts of phenomenon of singularity in philosophy. The first one is the idea of technological singularity as a final stage of the formation of the posthuman being. The other concept opposes human as a singularity phenomenon and opposes to idea of technological singularity.
Video Summarization Based on Multimodal Features

In this manuscript, the authors present a keyshots-based supervised video summarization method, where feature fusion and LSTM networks are used for summarization. The framework can be divided into three folds: 1) The authors formulate video summarization as a sequence to sequence problem, which should predict the importance score of video content based on video feature sequence. 2) By simultaneously considering visual features and textual features, the authors present the deep fusion multimodal features and summarize videos based on recurrent encoder-decoder architecture with bi-directional LSTM. 3) Most importantly, in order to train the supervised video summarization framework, the authors adopt the number of users who decided to select current video clip in their final video summary as the importance scores and ground truth. Comparisons are performed with the state-of-the-art methods and different variants of FLSum and T-FLSum. The results of F-score and rank correlation coefficients on TVSum and SumMe shows the outstanding performance of the method proposed in this manuscript.
Multi-Cloud Performance and Workflow Management

Cloud Computing could be a new delivery model for IT services supported net protocols. It usually involves provisioning of dynamically climbable and sometimes virtualized resources at the infrastructure, platform and software system levels. It addresses completely different fundamentals like virtualization, measurability, ability, quality of service and failover mechanism .Cloud atmosphere differs from ancient environments on the very fact that it is massively climbable, is encapsulated as associate abstract entity that delivers completely different levels of services to customers outside the Cloud, is driven by economies of scale, is dynamically organized (via virtualization or different approaches) and is delivered on demand. Among different models, cloud environments are public, non-public or hybrid. A public cloud (a.k.a. external cloud) could be a cloud that gives cloud resources and services to the general public. a personal cloud (a.k.a. internal cloud) is associate enterprise in hand or hired cloud. In general, a hybrid cloud could be a composition of 2 or additional clouds of various models. Nonetheless, we define a hybrid cloud as a composition of 1 public cloud and one non-public cloud. Such a cloud is associate atmosphere during which associate enterprise has its own non-public cloud that gives and manages some internal resources and solely uses external resources provided by the general public cloud once required.
Ontology Based Turkish Named Entity Recognition

Named entity recognition (NER) is an actual problem in natural language processing. NER is applied for extracting entities such as person, location or organization. In this paper, it is expressed how to integrate ontologies to NER problem as a solution proposal. We implemented the overall operation by initially gathering essential Turkish entities, fetching the linked information from the ontologies about entity names, extracting features with this linked information and classifying the entities according to these features.
Kreativitas Belajar Siswa Akuntansi Ditinjau dari Aspek Kompetensi Guru dan Lingkungan Keluarga pada Siswa Kelas XI IPS 2 SMA Negeri 1 Ngrambe

Intention of this research [is] 1) To know interest aspect influence learn to creativity learn [at] XI IPS2 SMA N class student 1 Ngrambe 2) To know environmental influence [of] family to creativity learn [at] XI IPS2 SMA N class student 1 Ngrambe 3) To know interest aspect influence learn and family environment to creativity learn [at] XI IPS2 SMA N class student 1 Ngrambe. This research [is] including quantitative research type. Research population [is] entire/all XI IPS SMA N class student 1 Ngrambe School Year 2019 / 2020. Sampel taken [by] counted [is] 84 student with sampling random simple. needed to be data to be obtained to [pass/through] documentation and enquette. Enquette test-drived with validity test and reliabilitas test. Technique analyse used [by] data [is] doubled linear regresi analysis, t test, test F, and contribution relative and is effective. Result of regresi analysis obtain;get equation mark with lines regresi: Y = 13,530 + 0,353X1 + 0,329X2. Equation indicate that creativity learn to be influenced by interest aspect learn and family environment. taken [by] conclusion [is] 1) Interest aspect learn to creativity learn can be accepted. This matter pursuant to linear regresi analysis duplicate ( test t) known that thitung > ttabel, 4,338 > 2,000 and signifikansi value ttabel, that is 3,888 > 2,000 and signifikansi value Ftabel, that is 26,598 > 3,150 and signifikansi value < 0,05, that is 0,000. 4) Determinasi coefficient ( R2) equal to 0,396 indicating that the level of interest aspect influence learn and family environment to creativity learn [is] equal to 39,6%, while the rest influenced by other variable.
PENGARUH MULTILITERASI TERHADAP PERKEMBANGAN MINAT MENULIS DI KALANGAN MAHASISWA

The ability of writing skills as something important for someone, especially for people who are in the world of education. They should be skilled in writing skills, but the reality in the field is very different. There are still many students who take the Indonesian language and literature education study program who have not mastered writing skills. The formulation of the problem in this study is how the effect of the multiliteration learning model on the development of student writing? Based on the formulation of the problem, the aim of this study is to determine the effect of multiliteration on the writing development of Indonesian language and literature education students at the IKIP Siliwangi. The research instrument used using a questionnaire or questionnaire with a research sample of 10 people. The research method used a qualitative descriptive method. Thus the results of research on the effect of multiliteracy on the development of student writing show that 60% of students are interested in writing poetry, 30% of short stories, and 10% of novels. Thus the influence of this multiliterative learning model is very influential on the development of writing among students.
The Impact of Digital Divide on the Quality of University Education

This study is aimed at identifying the impact of digital divide on the quality of university education at Jordan private University in the north region, and the descriptive analytical approach has been used to suit the nature of the study so as to design the appropriate tool through the questionnaire, as it was distributed to a sample of (250) of the faculty members as a representative sample of the study community.The most important results were is represented by the fact that there is statistically significant effect at the level of significance (α <0.05) of the digital divide with its dimensions (Digital reach, digital ability divide, digital results divide) on the quality of the university education in its dimensions (Strategic vision of leadership, academic reputation, quality of students (graduates), besides the quality of scientific research, as well as the quality of a university professor).
A Hybrid Model to Classify Sudden Topic Change, Misunderstanding and Non-understanding in Human Chat-bot Interaction

In a natural dialogue, humans can handle misunderstanding, non-understanding, and sudden topic change integrally. An essential aspect of human-machine interaction is natural language understanding ...
PELATIHAN INTERNET SEHAT SEBAGAI MEDIA PEMBELAJARAN BAGI GURU

Giving messages or information seems to be a habit, yet at the same time become a liaison between people each other throughout the world from one single access platform. Interactivity on internet which has more value in giving, receiving and even editing and commenting on the information rather than offline communication becomes the main attraction for the global community. Most people are using internet as it is become daily basis phenomena around the world. The flood of information about the unknown event will kindly occurs, even though the news that is displayed is only a few and bits - the slightest news will still be needed when the lack of information happen. TI is not surprising when a terror event occurs, the flood of information is so overwhelming in various media, because everyone is able to be a provider of information by post it quickly and easily everywhere, online. The purpose of this service is to provide training, giving information and at the same time sharing experiences related to the healthy internet as a learning media for teachers at SMAN-1 Kuala Kapuas. The training methods used in this service are the lecture, discussion and practice methods. Based on the results of the evaluation, all training/outreach participants are having a better understaning about the importance of using the internet in a healthy manner as a learning media.
PERBANDINGAN METODE FUZZY TSUKAMOTO DAN FUZZY MAMDANI UNTUK MENENTUKAN TINGKAT KEKUMUHAN KAWASAN (Studi Kasus Kecamatan Limapuluh Kota Pekanbaru)

The purpose of this study is to compare the MAPE values between the fuzzy Tsukamoto and Fuzzy Mamdani methods using variable irregularity in buildings, building density, incompatibility with building technical requirements, environmental road service coverage, environmental quality of road surface, aspects of drinking water supply conditions have access availability criteria safe drinking water, unfulfilled drinking water needs, inability to drain water runoff, unavailability of drainage, non-connection with the city drainage system, non-maintenance of drainage and the quality of drainage construction, the wastewater management system is not in accordance with technical standards, infrastructure and wastewater management facilities are not in accordance with the city's drainage system technical requirements, aspects of waste management conditions have the criteria for infrastructure, waste facilities are not in accordance with technical requirements, waste management systems that are not in accordance with technical standards, maintenance and facilities are not maintained waste management, unavailability of fire protection infrastructure and unavailability of fire protection facilities. The results of this study stated that the Mamdani fuzzy method became the best with a MAPE value of 20.59% against the Tsukamoto fuzzy method MAPE value of 25.82%.
Management of the educational process in the field of language education at the university

The problem of managing the educational process in the implementation of language education in a non-linguistic University is studied on the example of MGIMO Odintsovo branch (Moscow region). We consider the mechanisms, algorithms, and systems of pedagogical management, including LMS (learning Management System), which can be used in the conditions of standard, mixed, and distance learning, including during the forced full transition to remote mode in the spring of 2020 and the introduction of mixed learning in the 1st semester of the 2020/2021 academic year. The article presents an algorithm for pedagogical management of the educational process in the field of implementation of language education in a non-linguistic University, which includes the following stages: planning, design, motivation, implementation, monitoring and reflection. The algorithm has been successfully implemented in our University, including in the conditions of the COVID-19 pandemic. The conditions of pedagogical management of process of implementation of language education (humanistic orientation, taking into account specifics of the spiritual and moral development and the needs of students and individual (gender and age, level of proficiency, etc.). local language system characterized by the following parameters: the dominance of a clear and verified the goals of language education; the combination of complex ideas, the whole process of language education and work programs, teaching materials, etc.; permanently managed correction and development of the language teaching process taking into account changing external and internal conditions, requests and goals; monitoring of the achieved learning results. The criteria for evaluating the quality of management effectiveness are highlighted: the order and transparency of the process of implementing language education; the presence of the "backbone" of the teaching staff of the Department, the cohesion of the University itself "vertically" , etc. The introduction of the proposed algorithm of pedagogical management of the educational process in the field of language education implementation into the educational process of MGIMO showed its effectiveness, which was reflected not only on the results of the session and state exams, but also on the level of language training of graduates who reached the desired B2-C1/C2, having initially A2/B1. Moreover, the implementation of the algorithm developed by US at MGIMO allowed not only to systematize and simplify the management process.
NODE-SELECT: A FLEXIBLE GRAPH NEURAL NETWORK BASED ON REALISTIC PROPAGATION SCHEME

While there exists a wide variety of graph neural networks (GNN) for node classification, only a minority of them adopt effective mechanisms to propagate the nodes' information with respect to these nodes' global importance. Additionally, two very important challenges that still significantly affect graph neural networks are the over-fitting and over-smoothing issues. Essentially, both issues cause poor generalization of the model and much poorer node classification performance. In this paper we propose the NODE-SELECT graph neural network (NSGNN): a novel and flexible graph neural network that uses subsetting filters to learn the contribution from the nodes selected to share their information. For the selected nodes, the way their learned information propagates resembles that of actual networks of the real world; where only a subset of nodes simultaneously share information. With the ability to manipulate the message passing operations through the use of numerous ensembled filters, our NODE-SELECT graph neural network is able to address the over-fitting problem and by-pass the over-smoothing challenge for graph neural networks. Furthermore, we also propose an efficient and informative measure named MICS to quantify the over-smoothing problem. Our NODE-SELECT achieved or matched state-of-the art results in a number of transductive experiments over different benchmark datasets.
Analysis and Design of Microstrip Filters Using Photonic Band Gap Ground Plane with Fractal Periodic Pattern (Dept.E)

In the present work, four different techniques are used in designing the microstrip low pass filters (LPF). These techniques include LPF with fractal defected ground structure (DGS), LPF with continuous minkowiski fractal element, multi-stop band filter with discontinuous minkowiski element, and finally a wide multi-stop filter with separated interdigcap shape. A microstrip PBG filter of minkowiski element and interdigcap shape was designed to operate as a multifrequency band stop filter. With an appropriate fractal geometry of minkowişki and interdigcap elements, a wide stop-band at different frequencies are obtained. A continuous sinusoidal fractal slots are designed to work as a wide LPF. A novel fractal DGS for the microstrip LPF is proposed. The proposed fractal DGS can provide better band gap, and slow-wave characteristics. The numerical results show that a LPF of continuous and discontinuous fractal minkowiski elements in ground plane is obtained with a bandwidth 0 - 3 GHz for a slot width 0.5mm. However, if the slot width is taken equal 0.2 mm, the bandwidth is increased up to 10 GHZ. With suitable choice of number of elements, one can control the filter bandwidth. With a discontinuous fractal minkowiski and interdigcap element in ground plane, the filter response is forced to have a stop band at resonance frequency of fo and repeated at 2fo, .. etc. The numerical results obtained using an analytical technique with the aid of a numerical package (Sonnet) which is used in microstrip analysis.
The Use of Word Wall on Padlet to Improve Vocabulary Mastery of The First Graders at Smk Al Itthad Poncol in The Academic Year of 2019/2020

ABSTRACTFadhli, Dzawil, 2020. The use of word wall on padlet to improve vocabulary mastery of the first graders at SMK Al-Ittihad Poncol in Academic Year of 2019/2020. A Graduating Paper. Teacher Training and Education Faculty. English Education Department. State Institute for Islamic Studies Salatiga. Counselor: Heru Saputra, M.A.The research is about the use of word wall on padlet to improve vocabulary mastery of the first graders at SMK Al-itthad poncol in the academic year of 2019/2020. The objectives of the research are to know the implementation of word wall on padlet to improve vocabulary mastery and the significant improvement of students’ vocabulary mastery by using word wall on padlet. The method of the research was Classroom Action Research (CAR). There were two cycles; each cycles consisted of four steps, they were planning, acting, observing, and reflecting. The result of the research shows that the implementation of word wall on padlet to improve vocabulary mastery of the first graders at SMK Al-Ittihad poncol in the academic year of 2019/2020 was successful. It can be seen in table students’ result of pre-test and post-test, students who passed the passing grade improved gradually from cycle I and cycle II. The improvement was showed in pre-test and post-test. The result of the T-test of the cycle I was 4.09 which was higher than the T-table: 2.09 with N-1 and significance level 0,5 and The result of the T-test of the cycle II was 7,94 which was higher than the T-table: 2.09 with N-1 and significance level 0,5. The passing grade of English lesson was 70 and the success indicator was 80%. The outcome of the pre-test of the cycle I was 45% and post-test of the cycle I was 55%. The outcome of the pre-test of the cycle II was 55% and post-test of the cycle II was 85% meanwhile the success indicator is 80% of the total number of the students. The success indicator was achieved, so the researcher stopped the research. Thus, the implementation of word wall on padlet proved that it could significantly improve the students’ vocabulary mastery.Keywords : Word Wall, Padlet, Vocabulary Mastery
The History of the Language and the History of the Nation

The history of the language represents a moment of deep knowledge in the development of the political thought of the Nation. With regard to the Italian language, we must recognize observations and summaries of linguistic history produced ever since the origins of the language itself. A short number of examples, coming from the history of the Italian language, and from the history of Italian literature, will be considered. We will consider in which way the language has been taught over time and the University statement.
Modern Web Integration Patterns

Enterprise integrations are a quintessential part of modern web platforms. They form the backbone of enterprise platforms. API-based integrations fetch dynamic data from various data sources for modern web platforms. Integrations extend existing capabilities and help onboard new capabilities. Modern web platforms are integrated with internal and external interfaces and typically use stateless APIs. Some of the integrations are at the client end, and some are integrated at the server end. The integrations should be optimal to ensure that integrated interfaces do not introduce additional performance overhead. A few integrations become chatty, leading to frequent server calls, and in some other scenarios, the synchronous nature of the integrations block the subsequent flows.
LibGuides: Elsevier Negotiations Background: TLCUA Background

Description of the Texas Library Coalition for United Action (TLCUA) and the upcoming Elsevier negotiations.
'Rigged!' President blasts voting machine company used in parts of WI

190 voting units were randomly selected for a machine audit, including Richfield, which uses Dominion voting machines, and found the hand count matched the Election Day machine count.
DEVELOPMENT OF A MODIFIED WINNOWING METHOD FOR AGGREGATING BIBLIOGRAPHIC INFORMATION DATA FROM CITATION SYSTEMS UNDER THE CONDITIONS OF INCOMPLETE INFORMATION

Currently, transition to the electronic presentation of bibliographic information about scientific works has caused an increased interest in scientometric research. At the same time, the existing sci-entometric methods are criticized by scientists, since the incomplete bibliographic base and tools for its assessment do not allow the most accurate assessment of the contribution of scientific work. The problem of the quality of scientometric assessments, as a rule, is based on the study of the data of a certain citation system, which does not include complete information about all publications of the authors contained in other citation systems. Aim. This study is aimed at developing an adaptive ap-proach for the formation of aggregated data of bibliographic information of a scientific organiza-tion in conditions of incomplete information from the citation systems of the RSCI, “Google Aca-demy” and Scopus. Methods. The definition of the aggregated list of publications for the analysis of scientometric indicators was carried out by the Winnowing method, the Levenshtein algorithm, the shingle method and the Jaro–Winkler method. In the framework of the experimental study, the effectiveness of the application of the considered methods for aggregating information from cita-tion systems was assessed based on the analysis of accuracy, completeness and F-measure. Results. Expe¬riments on test data from the list of publications by authors of the Orenburg State University from the citation systems RSCI, Google Academy and Scopus showed that the Winnowing method formed the most accurate lists of publications by the F-measure criterion. To improve the perfor-mance of this algorithm, a two-stage optimization of the aggregation process was carried out, which made it possible to improve the running time of the algorithm when generating a list of bibliographic descriptions. Conclusion. The proposed approach for the formation of aggregated data of biblio-graphic information of a scientific organization in conditions of incomplete information from the ci-tation systems of the Russian Science Citation Index, Google Academy and Scopus allows increas-ing productivity in the formation of a list of authors' publications and shows good efficiency in de-termining the scientometric characteristics of authors.