Reviewerly/exHarmony huggingface dataset:
Methodical Recommendations on the Formation of an Optimized Network of Vocational Training (Vocational Technical Training) Institutions in Keeping with the Needs of Regional Labor Markets

Optimization of the network of vocational training (vocational technical training) institutions (VT(VTT)Is) calls for creating new multidisciplinary and multilevel institutions and reorganizing (merging or transforming) the existing ones in order to provide vocational training services and build a model of the multipurpose center of professional excellence. This optimization is admitted by the overwhelming majority of scientists and experts as a necessary process allowing for optimization of resources, with streamlining them on quality enhancement of the professional training of the workforce. The core mechanisms for building up an optimized network consist of VT(VTT)Is integration and enlargement processes. The article contains an analysis of the processes taking place within the VT(VTT)Is network, with formulating methodical recommendations on its optimization. A stable downward tendency in the number of VT(VTT)Is and the respective decline in the number of trained persons are shown. The number of VT(VTT)Is decreased by 13 (or 1.8%) in 2019 compared with the previous year, and by 33 (or 4.4%) compared with 2017. The overall downward tendency in the number of VT(VTT)Is is accompanied by the following processes: reorganization and restructuring, dominated by incorporations in a larger institution, mergers of two or three institutions with establishing new ones on their basis, most commonly referred to as Regional Center of Professional-Technical Education; liquidations, changes of the status or title; withdrawals from or incorporations in the network depending on the existence or absence of a regional order for training of workers. The author argues that recommendations on forming an optimized VT(VTT)Is network in keeping with the needs of regional labor markets should be based on the computed integral index of the institution’s operation. According to the proposed method, the integral index of the institution’s operation is a synthetic index derived from factor analysis on the basis of a comprehensive set of statistical data and expert assessments on the institution’s operation. Computations of the integral index of the institution’s operation at city, region or country level can provide a rank for each institution, which will enable to substantiate the necessary measures for it as part of the overall network optimization with consideration to the needs of the regional labor markets.
Study on the Prediction of Daily Temperature Based on GDWSSA-KELM Model

Weather forecast is very important to people's daily life. In order to improve the accuracy of weather forecast, in this paper, an improved Gaussian disturbance weighted salp swarm algorithm (GDWSSA) and a GDWSSA-optimized kernel extreme learning machine (GDWSSA-KELM) model is proposed for weather forecasting. GDWSSA is proposed in the model to improve the shortcomings of the original algorithm (SSA) that the convergence speed is too slow and it is easy to fall into the local optimal solution. Simulation results show that GDWSSA outperforms SSA, GA, PSO and GWO in the benchmark functions. Then, GDWSSA optimizes the parameters in the KELM model called GDWSSA-KELM. Finally, the model is used to build the weather prediction model, the results show that the temperature prediction accuracy is better than the traditional machine learning methods. Therefore, the proposed GDWSSA-KELM model prediction model is promising to serve as a powerful auxiliary tool for weather forecast with excellent performance in temperature prediction.
Dynamic Projection Mapping Based on the Performer’s Silhouette

This paper presents a novel dynamic projection mapping which tracks a silhouette of a stage performer and projects a video image on the tracked silhouette region. In the proposed method, the printed calibration board is not required for the camera-projector calibration. It allows the simple camera-projector calibration for the wide space is possible. The image can be accurately projected on the body of the performer moving freely on the stage due to the calibration considering the different distance from the camera. In the experiments, the video images were projected onto the body of the performer moving freely, not only from left/right to right/left but also from front/back to the back/front of the stage.
Human Interactive EEG-Based Evolutionary Image Animation

Evolutionary algorithms are adaptive algorithms that can alter their behaviour under changing circumstances. This makes them well-suited to act in interactive environments. We introduce a framework for human interactive animations based on EEG signals. EEG signals received through a brain computer interface headset are used as the fitness function and influence the animation based on the signals received. For our experimental investigation, we consider the recently introduced quasi-random animation process and alter the process through mutation operators that depend on the EEG signals received. Furthermore, the EEG signals trigger mutations and therefore alterations to the image animation process if their values are not in a predefined range. Our experimental study shows that a large variety of animations and intermediate images are obtainable in this way.
Metric Learning with Quadruplets on Non-Hierarchical Labeled Datasets

Metric learning is a frequently utilized method that can be applied to many different computer vision problems and; thus, facilitates these problems. In this paper, the proposed method for manipulating the feature space with the help of quadruplets, which is one of the metric learning methods, is explained with details, and the results obtained by using it are shown. Many methods used in the field of metric learning, have been developed on the Siamese and triplet structures and satisfactory results have been obtained by them. Similarly, the quadruplet structure is still being studied and different approaches are proposed in the literature. How to select four elements for generating a quadruplet is not standardized at present. However, by looking at the mining methods of Siamese and triplet samples, it can be concluded that each sample in the dataset that is trained with quadruplet samples, must have at least two hierarchical labels. This makes it possible to train the quadruplet structure only on certain datasets that have the hierarchical labels. In this paper, an unsupervised method is proposed to use the quadruplet structure in datasets that do not have a hierarchical label structure. Besides, the performances of three different quadruplet mining methods are compared and an ablation study is conducted by discussing the advantages and disadvantages of the proposed method.
Subformer: A Parameter Reduced Transformer

The advent of the Transformer can arguably be described as a driving force behind many of the recent advances in natural language processing. However, despite their sizeable performance improvements, as recently shown, the model is severely over-parameterized, being parameter inefficient and computationally expensive to train. Inspired by the success of parameter-sharing in pre-trained deep contextualized word representation encoders, we explore parameter-sharing methods in Transformers, with a specific focus on encoder-decoder models for sequence-to-sequence tasks such as Machine Translation. We perform an analysis of different parameter sharing/reduction methods and develop the Subformer, a parameter efficient Transformer-based model which combines the newly proposed Sandwich-style parameter sharing technique and self-attentive embedding factorization (SAFE). Experiments on machine translation, abstractive summarization, and language modeling show that the Subformer can outperform the Transformer even when using significantly fewer parameters. On the WMT'14 English-German test set, we show we can perform equally well, and even sometimes outperform (+0.1 BLEU score) the Transformer-base model while using 40% fewer parameters. We also perform equally well as Transformer-big with 40% fewer parameters, achieve performance within 0.1 BLEU with 70% fewer parameters, and outperform the model by 0.7 BLEU with 12M fewer parameters. We also outperform the standard Transformer-XL model, achieving a significant 3.6 lower perplexity with 37% fewer parameters.
Analisis Kebijakan Penghapusan Program Akselerasi Menjadi Sistem Kredit Semester (Sks) Kepada Anak Yang Memiliki Potensi Cerdas Istimewa Dan/Atau Berbakat Istimewa (CI-BI)

The accelerated program policy is a government-initiated policy in order to facilitate special and special talented children, many studies that have examined the implementation of the accelerated program but in line with the new policy on gifted children are important to be studied. The purpose of this study is to examine how the implementation of the accelerated program, the obstacles that arise in the implementation of the acceleration program and what the background of the acceleration program stops and the emergence of new policies on the SKS system to children who have special intelligence and / or special talent (CI-BI ). This study is based on literature study that aims to find out how the background of birth Semester Credit System to children Special Smart or Gifted (CI-BI). Results From some implementation process can be seen if in running acceleration program there are schools that have run standardized standards both in terms of student recruitment, teacher selection, facilities and infrastructure and implementation of the curriculum, although there is also still need to be improved. Changes to the Accelerated Program Policy to SKS for CI-BI Students needs special attention for the goverment and education practioners
Cyberspace-Related Threats Against Human Rights

This paper examines types of crimes which are committed in the DarkNet and provides with a range of measures to fight against cybercrimes and their prevention.
Guide 7: Translating Your Site

Adding multilingual capabilities to a TYPO3 website does not require any programming skills. It can all be configured directly from the TYPO3 backend.
17: MEWS++: PREDICTING CLINICAL DETERIORATION IN ADMITTED PATIENTS USING A NOVEL MACHINE LEARNING MODEL

Gupta, Rohit1; Kia, Arash2; Klang, Eyal2; Freeman, Robert2; Timsina, Prem2; Mazumdar, Madhu2; Reich, David2; Tomlinson, Max2; Dudley, Joel2; Kohli-Seth, Roopa1; Levin, Matthew2 Author Information
Experience in Online Education in Logistic-related Departments in the New Normal Age

The purpose of this study is to share the experience of online education with departments related to the servic industry, such as distribution and logistics, in the New Normal Age of COVID-19 pandemics. The graduation presentation project, which is the capstone design subject and the most urgent subject for face-to-face classes, was selected as the online education subject of this study. The results of this study are as follows : First, several online class tools, such as Zoom, Microsoft Teams, and Google Meet, have also been shown to be applicable to capstone design subjects such as graduation presentation projects. Second, it is essential to reorganize the curriculum to enhance students' ability to practice and utilize online contents. Third, continuous education and training are needed to make easy use of the aforementioned online teaching tools. Meanwhile, fourth, further research is needed to solve the learning effects caused by online learning, and difficulties in communication.
PERANCANGAN TATA KELOLA TEKNOLOGI INFORMASI MENGGUNAKAN FRAMEWORK COBIT 2019 PADA PT. XYZ

PT. XYZ is a company that serves fabrication and inspection services. PT. XYZ serves companies in Indonesia, both companies engaged in mining, palm oil processing factories, construction, and shipping. Information technology governance is needed to align the company's business objectives with its technology's performance. This research is encouraged by the absence of an assessment of information technology governance. This research intended to help the company knew the important processes in the company. This research uses the COBIT 2019 framework that is the latest version of COBIT released by ISACA. This company's analysis uses 11 design factors that are supported by a toolkit. The results are information technology governance values and their important processes. The results of this research are information technology governance design of the company and knew the important processes to PT. XYZ. These important processes include APO06 Managed budget and costs, APO09 Managed service agreements, APO12 Managed risk, BAI04 Managed availability and capacity, and BAI11 Managed projects with target capability levels 3 and 4.
PENGARUH FASILITAS BELAJAR DAN MINAT BELAJAR TERHADAP PRESTASI BELAJAR SISWA PADA MATA PELAJARAN KEARSIPAN JURUSAN ADMINISTRASI PERKANTORAN DI SMK NEGERI 1 SUBANG

Permasalahan yang dikaji dalam penelitian ini adalah rendahnya prestasi belajar siswa pada mata pelajaran Kearsipan di SMK Negeri 1 Subang. Hal ini ditandai dengan kurang optimalnya nilai Akhir siswa kelas X pada mata pelajaran Kearsipan. Tujuan penelitian ini adalah untuk mengetahui keadaan Fasilitas Belajar, tingkat minat belajar, tingkat Prestasi belajar siswa, ada tidaknya pengaruh fasilitas belajar terhadap prestasi belajar siswa, ada tidaknya pengaruh tingkat minat terhadap prestasi belajar, dan ada tidaknya pengaruh Fasilitas belajar dan Minat belajar terhadap prestasi belajar siswa pada mata pelajaran Kearsipan di salah satu SMK di Subang. Responden dalam penelitian ini berjumlah 106 siswa kelas X administrasi perkantoran di SMK Negeri 1 Subang. Metode yang digunakan dalam penelitian ini adalah metode deskriptif dan verifikatif. Teknik pengumpulan data menggunakan angket dan yang dianalisis menggunakan Regresi ganda. Berdasarkan hasil analisis data menunjukkan bahwa Fasilitas belajar berada pada kategori lengkap, minat Berada pada kategori tinggi dan prestasi berada pada kategori cukup tinggi. Berdasarkan perhitungan analisis regresi ganda diperoleh bahwa Fasilitas belajar dan minat belajar memiliki pengaruh positif dan signifikan terhadap prestasi belajar.The issues examined in The Research is the low learning achievement in Archives Subject in SMK Negeri 1 Subang. It is Characterized with low final value grade X on subjects of Archives. The purpose of The Research is to knot the Stat of learning facilities, the level of Intertest in learning, learning achievement level of studets, whether or not there is the influence of the learning facilities towards student’s learning achevement, Three is absence of influence Intertest in learning achievement, and There is not the influence of learning facilities as Well as Intertest in learning achievements against students on subjects of Archives in SMK Negeri 1 Subang. The respondents in The Study amounts to 106 students grade X at Office Administration’s class in SMK Negeri 1 Subang. The methods used in The Research is descriptive and verifikatif methods. Data collection techniques pusing question for Ade analyzed using regression. Based on the Results of the analysis of the data indicates That learning facilities are on category good , interests of studiying are Food on na achievement and categories of learning students are on a category is enough. The da regression analysis calculation based on obtained resultan That learning facilities as wol as Intertest in learning has a positif ingluence and significantly to achievement of learning.
Keterampilan Mengajar Guru dan Minat Belajar Siswa Terhadap Prestasi Belajar Siswa Kelas III SD Universitas Kanjuruhan Malang

This study aims to determine differences in student interest learning and student achievement by applying the teaching skills of teachers to grade III students at SDN 07 Sumberpucung Malang. This research is a quasi experimental research type with a quantitative approach with a non equivalent control group design. The population is all grade III students at SDN 07 Sumberpucung Malang for the 2019-2020 school year. The sample used is saturated sample, obtained by class IIIA as the experiment class and class IIIB as the control class. Based on the results of the analysis of the Independent Sample t test, there is a difference between the average experimental and control classes with a significance value of 0.097> 0.05. From the results of the F test analysis, the F value was 2.351> 0.05. So it can be concluded that there is an interaction between teacher teachskills and student interest in learning achievement.
IGestSaúde a mobile application for the self-management of symptoms associated with chemotherapy treatment: Development protocol

Background &amp; Aim: People undergoing chemotherapy treatment of an oncologic disease refer to the need to promote the process of self-management of the disease and the symptoms associated with treatment. This study aims to describe a mobile application's development protocol to support the self-management of symptoms associated with chemotherapy treatment, the IGestSaúde.&#x0D; Methods &amp; Materials: The research is divided into six stages, using an exploratory/descriptive pilot study conducted over 36 months. The stages include research and fundamentals, development, validation of therapeutic guidelines, field study, technological development, implementation, and mobile application evaluation.&#x0D; Discussion: The project will monitor and improve patients' compliance to chemotherapy, to prevent patients’ complications through preventive indications for self-care, and to improve patients' responses to uncontrolled symptoms or complications.&#x0D; Conclusion: Mobile applications can be considered a viable and effective means for selfmanagement of complications associated with chemotherapy treatment, supported by scientific evidence and these people's specific needs.
THE PARENTS’ PERCEPTION TOWARD ENGLISH SUBJECT OF ELEMENTARY SCHOOL IN PALEMBANG

Despite the policy of English as a subject in Indonesia’s elementary school, the process of teaching and learning English is still relevant. However, some aspects need to be considered in implementing the policy, for instance, teachers and parents’ perception. This research is intended to find out about a survey on the parents’ perception toward English subject in elementary school at Palembang. This research uses descriptive quantitative approach. The subject consists of 126 parents. The data are collected by using 5-point Liker scale questionnaires that will be distributed to teachers and student’s parents. In analyzing the data, the researcher will use descriptive statistic by calculating mean, standard deviation, and categorized the total score. As suggestions, teachers and parents’ positive perception should be complemented with their understanding of young learners’ characteristics and English for young learner’s principle. Moreover, the government should also consider teachers and parents’ perception in making future policy related to English for young learner.
Effects of Network Depths on Semantic Image Segmentation By Weakly Supervised Learning

Weakly Supervised Learning is one of the most interesting approaches that more complex labels are predicted by using related simple labels. In this study, we focus on segmentation problem by giving image class tags in learning stage. We examine how the number of layers and the usage of their output in Convolutional Neural Network affect the segmentation results. It is found that increasing the number of layers in the network has a positive effect on segmentation performance. After ResNet152 is determined as the most successful deep architecture in Pascal VOC2012 dataset, we construct a new architecture based on ResNet152. Experimental results show that proposed architecture outperforms the available studies tested on this particular dataset. In addition, we observe that early layers reach more general attributes for the object classes than the last layers and that these attributes can better identify the object boundaries.
Recommender System for Gym Customers

Recommender systems provide new opportunities for retrieving personalized information on the Internet. Due to the availability of big data, the fitness industries are now focusing on building an ef ...
Context-Aware Word Segmentation for Chinese Real-World Discourse

Previous neural approaches achieve significant progress for Chinese word segmentation (CWS) as a sentence-level task, but it suffers from limitations on real-world scenario. In this paper, we address this issue with a context-aware method and optimize the solution at document-level. This paper proposes a three-step strategy to improve the performance for discourse CWS. First, the method utilizes an auxiliary segmenter to remedy the limitation on pre-segmenter. Then the context-aware algorithm computes the confidence of each split. The maximum probability path is reconstructed via this algorithm. Besides, in order to evaluate the performance in discourse, we build a new benchmark consisting of the latest news and Chinese medical articles. Extensive experiments on this benchmark show that our proposed method achieves a competitive performance on a document-level real-world scenario for CWS.
Voice mismatches beyond passives : sluicing with active impersonal antecedents

While ellipsis tolerates various kinds of mismatches, sluicing does not allow for a mismatch in active/passive voice between an ellipsis site and its antecedent.Merchant's (2013) analysis of the impossibility of voice mismatches under sluicing involves syntactic identity and different features of the Voice head.I will show that this analysis incorrectly predicts that voice mismatches should be possible in the passive-like active impersonal constructions in Polish, Irish, and Estonian.However, the syntactic identity approach can be rescued by appealing to a different source for the identity violation, analogous to argument structure mismatches.
Control and Monitoring System for Livestock Feeding Time via Smartphone

The livestock farming sector usually require a lot of manpower and may face problems such as adhering the designated feeding schedule. Therefore, this paper intends to aid in this sector by bringing the smart feeder system. The main objective of this paper is to control and monitor livestock feeding time using application via smartphones. This is to ensure that the livestock are fed according to the right schedule. This paper also highlighted the advantage of the smart feeder system where it can be used to save up money and energy that can be obtained by having less labor workers. This is because of the hopper storage that can accommodate the food up to three days. The importance of this system is its ability to automate the feeding system for the livestock. The smart feed system designed is different from the existing livestock feeding machines that are available anywhere in the market due to the implementation of Internet of Things (IoT) in the system. The usage of IoT allows farmers to set the feeding schedule automatically by using an application via smartphone. Besides, users will also be informed on the weight of food in the storage and food container through the application. This will allow the users to monitor the food storage and only come to refill it when it is empty. Farmers can also observe whether the livestock have eaten or not by getting updated on the level of food of the food storage using an ultrasonic sensor.