Reviewerly/exHarmony huggingface dataset:
Comments on: How should you respond when a client takes offence to one of your employee's social media posts?

In PracticeVolume 44, Issue 9 p. 559-559 Opinion Comments on: How should you respond when a client takes offence to one of your employee's social media posts? First published: 04 November 2022 https://doi.org/10.1002/inpr.265Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL No abstract is available for this article. Volume44, Issue9November 2022Pages 559-559 RelatedInformation
Scientific school as a personal-developing educational project and hermeneutical approach to its formation and development

The article in the context of the activities of scientific schools sets and discusses the problems of training a new generation of scientific personnel. Theoretically and empirically, the possibility and productivity of considering a scientific school as a personal-developing educational phenomenon that contributes to the accumulation of the young scientist's experience of scientific motivation and goal setting, the independent implementation of a dissertation study, analysis and assessment of the results obtained, the development and implementation in practice of his own scientific position is justified. The results of an expert survey of scientific leaders of adjuncts of the Academy of Management of the Ministry of Internal Affairs of Russia (2021-2022) are given and summarized, the results of the expert survey were compared with the results of studies on similar topics performed at the Southern Federal University (2017), the Higher School of Economics (2018) and the National Research Nizhny Novgorod State University named after N.I. Lobachevsky (2021). It has been shown that a scientific school as a pedagogical project is characterized by specific goals and tasks, content, forms and methods of scientific and educational activities. Conclusions were made about the advantages of training scientific personnel in the framework of scientific schools.
Designing Mobile-based Jigsaw Puzzles for Collocated Groups

In this work we present our initial ideation and design approach for cooperative digital jigsaw puzzles with the objective to promote social interaction between collocated players. Two puzzle games, “Puzzle Shuffler” and “Puzzle-in-Puzzle”, are presented as examples of a game design that foresees the use of mobile devices as objects of collaborative physical manipulation, as well as their combined use with physical game cards that create complementary joint attention areas. We suggest that the use of multiple handheld devices has great potential in collocated leisure settings and their combined use merits further exploration.
Edukasi Pentingnya Memiliki Growth Mindset pada Peserta Didik di SMA Leppesa 2 Cililin Bandung Barat

This community service activity was carried out in order to provide education to students at Leppesa 2 High School about the importance of having a growth mindset. The school, which is located in Cililin, West Bandung, is located on a hill and in the middle of rice fields. To reach the location, we have to go through steep and rocky roads. This school is the only high school in the area. This school was founded because of the desire of the Head of SMA Leppesa 2 so that students who graduated from Junior High School (SMP) could still go to school. So far, many students only go to junior high school because of the distance to Cililin public high school. For this reason, with all his efforts, the Principal of Leppesa 2 High School, eliminated fees for students. It is intended that parents do not feel heavy-hearted to send their children to high school. Despite the risks, the school principal has to sacrifice his salary and certification fees for teacher salaries and additional school infrastructure.
Pelatihan Pengembangan Media Pembelajaran Interaktif Berbasis Audio Visual Bagi Mahasiswa PGSD Universitas Lampung

The use of audio-visual media in learning will increase students' motivation and learning outcomes. Students from the PGSD Study Program, University of Lampung as prospective educators are required to be able to innovate creatively by utilizing technological advances for learning media. One of them is using camtasia studio media. So that students are able to use Camtasia perangkat lunak, training in the development of interactive media based on Camtasia audio-visual is needed. After attending this training, PGSD students understand and use the features of Camtasia Studio. So that students are able to modify the learning media into interactive audio-visual learning media.
Equivalent Keys: Side-Channel Countermeasure for Post-Quantum Multivariate Quadratic Signatures

Algorithms based on the hardness of solving multivariate quadratic equations present promising candidates for post-quantum digital signatures. Contemporary threats to implementations of cryptographic algorithms, especially in embedded systems, include side-channel analysis, where attacks such as differential power analysis allow for the extraction of secret keys from the device’s power consumption or its electromagnetic emission. To prevent these attacks, various countermeasures must be implemented. In this paper, we propose a novel side-channel countermeasure for multivariate quadratic digital signatures through the concept of equivalent private keys. We propose a random equivalent key to be generated prior to every signing, thus randomizing the computation and mitigating side-channel attacks. We demonstrate our approach on the Rainbow digital signature, but since an unbalanced oil and vinegar is its special case, our work is applicable to other multivariate quadratic signature schemes as well. We analyze the proposed countermeasure regarding its properties such as the number of different equivalent keys or the amount of required fresh randomness, and we propose an efficient way to implement the countermeasure. We evaluate its performance regarding side-channel leakage and time/memory requirements. Using test vector leakage assessment, we were not able to detect any statistically significant leakage from our protected implementation.
Efektivitas layanan informasi terhadap pemahaman masa pubertas siswa

this study aims to determine whether information services are effective in increasing students' understanding of puberty. This study uses a quantitative approach with a pre-experimental one group pretest-posttest method. The population in this study were 84 students of class VII. The sample was drawn purposively with a size of 12 students. Data were collected using a questionnaire on understanding of puberty, which amounted to 33 items. The data were analyzed descriptively to determine the norm of categorization of variables. The hypothesis was tested using t test. The results of the study revealed that information services were effective in increasing students' understanding of puberty.
Attention-based Proposals Refinement for 3D Object Detection

Recent advances in 3D object detection are made by developing the refinement stage for voxel-based Region Proposal Networks (RPN) to better strike the balance between accuracy and efficiency. A popular approach among state-of-the-art frameworks is to divide proposals, or Regions of Interest (ROI), into grids and extract features for each grid location before synthesizing them to form ROI features. While achieving impressive performances, such an approach involves several hand-crafted components (e.g. grid sampling, set abstraction) which requires expert knowledge to be tuned correctly. This paper proposes a data-driven approach to ROI feature computing named APRO3D-Net which consists of a voxel-based RPN and a refinement stage made of Vector Attention. Unlike the original multi-head attention, Vector Attention assigns different weights to different channels within a point feature, thus being able to capture a more sophisticated relation between pooled points and ROI. Our method achieves a competitive performance of 84.85 AP for class Car at moderate difficulty on the validation set of KITTI and 47.03 mAP (average over 10 classes) on NuScenes while having the least parameters compared to closely related methods and attaining an inference speed at 15 FPS on NVIDIA V100 GPU. The code is released at https://github.com/quan-dao/APRO3D-Net.
Next-Day Medical Activities Recommendation Model with Double Attention Mechanism Using Generative Adversarial Network

Medical activities recommendation is a key aspect of an intelligent healthcare system, which can assist doctors with little clinical experience in clinical decision making. Medical activities recommendation can be seen as a kind of temporal set prediction. Previous studies about them are based on Recurrent Neural Network (RNN), which does not incorporate personalized medical history or differentiate between the impact of medical activities. To address the above-given issues, this paper proposes a Next-Day Medical Activities Recommendation (NDMARec) model. Specifically, our model firstly proposes an inpatient day embedding method based on soft-attention which balances the impact of different medical activities to get a joint representation of medical activities that occurred within the same day. Then, a fusion module is designed to combine features of inpatient day and medical history to achieve personalization. These features are learned by the self-attention mechanism that solves the long-term dependency problem of RNNs. Last, adversarial training is introduced to improve the generalization ability of our model. Extensive experiments on a real dataset from a hospital are conducted to show that NDMARec outperformed both classical and state-of-the-art methods.
Optimization Sentimen Analysis using CRISP-DM and Naive Bayes Methods Implemented on Social Media

Freedom of expression on social media Twitter not always give positive value, because sometimes can contains negative things such as fake news, spreads hate speech, and racism, where these kinds of tweet can be categorized as an act of Cyberbullying. Where this cyberbullying tends to increase every time. The aim of this study is to use the Naïve Bayes method in classifying types of sentiment on Twitter. The keyword used is Saipul Jamil, and the tweet was taken in September 2021. A total of 18,067 tweets were collected and then they will be labelled with a positive or negative value. This study also uses the CRIPS-DM method which is consist of Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, and Deployment stages. The results of this study obtained the value of Accuracy (85.6%), Negative Recall (82.1%), Positive Recall (90.23%), and Negative Precision (91.76%) Positive Precision (79.18%).
DETEKSI KATA TAK BAKU DAN KESALAHAN PENULISAN KATA PADA TUGAS AKHIR MAHASISWA MENGGUNAKAN METODE DICTIONARY LOOKUP

Dictionary lookup is a simple searching method that aimed to find a word in the dictionary.The technique is effectively implemented to find the incorrect spelling based on the lexical resource.This research will create a system to detect nonstandard and misspell words by looking into Standard Indonesian Language Dictionary (KBBI) and Kateglo Dictionary.In addition, the lookup process of the system is optimized by utilizing an index in the database.To validate the system, the front-end interface is created by displaying the options for end-user to upload their documents.The system will be evaluated by using 40 documents of the students' final project.The testing result shows that the average document processing speed is 187 words per second.The average of incorrect words in each document is 2.76%, with a precision value is 28.71%.The low precision is caused by the higher value of False Positive, which was determined by non-existence words in the dictionary.However, the system has shown good performance by obtaining higher True Negative values from each document which implies the accuracy is also high.
Pelatihan Pembuatan Media Big Book Bagi Guru PAUD/TK di Kota Bandar Lampung Tahun 2021

Interest in reading can be increased through interesting learning for children by learning through play. This play activity can arouse children's interest and interest in reading. For this reason, adequate competence is needed for teachers to be able to arouse the interest and interest of the child. This service activity is intended to provide training in making big book media for PAUD teachers in Bandar Lampung City as well as to see how the efforts of teachers in making big book media for early childhood are varied. The method used in this activity is the informative – participatory method, which requires the participants to have theoretical and practical insights about making big book media for PAUD teachers through stages of activities that include information presentation, discussion and simulation. The technique used in delivering the training material is a workshop using multimedia aids in the form of a laptop, LCD, teaching aids, post test and pretest. After the implementation of the training on making big book media, there was a significant increase in teacher knowledge. It was proven that the teacher was able to answer all the post-test questions correctly. Therefore, it is hoped that teachers can use this knowledge to optimize and implement it in learning.
Analisis SWOT Pada Penghimpunan Dana ZIS Online Di Lazismu Kota Medan

This research has been carried out at LAZISMU Medan City, through the ZIS Fund Raising program. In this study, the researcher used a qualitative approach. The data presented in the form of a qualitative description in the form of reading so that to obtain accurate information, the researcher went directly to the field (field research). Data collection techniques used are observation, interviews, and documentation. The results of this study are applied to a SWOT analysis that LAZISMU Medan City should carry out socialization activities and educate the public about how to use digital applications, the lack of introducing programs will be a weakness in its management. And also several LAZISMU programs have become strengths to make it easier for people to make ZIS transactions anytime and anywhere.
Refining the search space of Alltop monomials

Abstract Alltop functions have applications to code-division multiple access (CDMA) systems and mutually unbiased bases (MUBs). Alltop functions construct MUBs and CDMA signal sets, and this motivates the continued search for further Alltop functions. The discovery of further Alltop functions is hindered by the computational complexity of verification. This paper narrows the search space through the introduction of a characteristic cubic polynomial and provides a verification process for Alltop monomials with a reduced computational complexity. Computational results lead to the conjecture that there are no further Alltop monomials.
Multiple attitudes and shifting language ideologies: a case of language shift among Libyan Tuaregs

Abstract This paper examines the pivotal role of ideologies in a case of language shift from Targia to Libyan Arabic among Libyan Tuaregs in the south–western region of Libya. I argue that foundational ideologies , the opposed and hierarchical linguistic relationship between Arabic and Targia, a southern Amazigh variety, and ideological elision , the process of shifting the meanings associated with Classical and Modern Standard Arabic (CA, MSA) to Libyan Arabic (LA) (e.g., religious piety), eventually have driven the changes in the linguistic behavior of the Tuareg people towards the attachment to Libyan Arabic and at the expense of Targia. The data is drawn from a fieldwork conducted on two Libyan Tuareg communities, Ghat and Barkat. The former is a multi-ethnic town while the latter is a village composed of only Tuaregs. The sample is comprised of 221 participants (114 from Brakat and 107 from Ghat), balanced by gender and divided into three age groups. A combination of qualitative and quantitative approaches was employed for data collection and analysis. The statistical analysis showed that age group has the most significant effect on the reported use of Targia, followed by type of community and the interactive effect of both variables.
Probability Bankruptcy Using Support Vector Regression Machines

Abstract Bankruptcy is a decision made by a court after examining the assets and liabilities of individuals even businesses in which they are not able to pay their bills. Due to the importance of prevent bankruptcy to be happened in such business, a calculation which can predict probability bankruptcy is necessary. This paper aims to investigate probability bankruptcy using Support Vector Regression. There are 6 variables for 2016 to 2018 period coming from 17 coal mining companies from Indonesia. The model built by using Support Vector Regression indicates a good performance because it has the highest coefficient of determination compared to previous research. JEL classification numbers: C23, C33, C63, E37, G17, G33, L72. Keywords: Probability Bankruptcy, Coal Mining, Support Vector Regression, Mean Square Error, Mean Absolute Error, Coefficient of Determination, Financial Ratio.
SECONDARY GEOLOGICAL RESOURCES CATCHMENT STRATEGIES ON PRE-HISPANIC SIHÓ (YUCATÁN) SITE GEOLOGICAL ENVIRONMENT THROUGH THE PHYSICOCHEMICAL ANALYSIS OF LIMESTONE TOOLS

Sihó is a Prehispanic archaeological site located in the Northern Maya Lowlands at Yucatan Peninsula, where have been documented a considerable number of percussion and/or abrasive tools made from limestone cobbles. These artifacts have certain physical and chemical characteristics which may be symptomatic of a particular geological origin. The statistical treatment of data extracted by X-ray fluorescence gives us the possibility of discerning limestone materials from different geological formations, based on their proportion of silicon (Si), calcium (Ca) or iron (Fe). Together with a comparative calculation between sphericity indexes of this round cobbles, suggest it catchment at Ticul fault colluvial secondary geological deposits twenty km from the site.
An Interpretable Approach to Prediction of Sepsis Using Multivariate Time Series

Abstract Sepsis is the major cause of death in ICUs and amounts to a large portion of medical expenses. Earlier prediction of sepsis can assist in reducing inpatient mortality and healthcare costs. Despite predictive capabilities of the state-of-the-art approaches, deep models still lack the transparency that provides some sort of reasoning for their predictions. In this work, we studied the predictive performance of an attention-based recurrent neural network and its ability to provide interpretability for the relative contribution of each medical factor to the final prediction. We also qualitatively assess the explainability of the proposed model. This approach sheds light on the opacity issue of deep predictive models. Moreover, it enables the clinical staff to make more reliable decisions based on the status of the patient in ICU thus decreasing the sepsis inpatient mortality.
Cross-Chain Interoperability - Validating Smart Contracts to Interoperate Over Diverse Blockchain Networks Using Interoperable Blockchain Framework Design (IBFD)

Abstract Blockchain technology is meant to perform a potential act to intensify the performance of several information systems. In this view, the platforms and the applications adapted for blockchain must be competitive to communicate and connect. The current blockchain platforms have many limitations, such as interoperability issues in divergent systems. The present platforms of blockchain applications work only within their networks. Blockchain interoperability allows data and values to be sent across various networks. The fundamental technology may be homogeneous, still, it relies on third-party intermediaries using the centralized mechanism to retrieve or exchange data from various interacting blockchain networks. The existing intermediaries incorporate security and trust by maintaining a centralized ledger to monitor ‘account balances’ and verify a transaction’s authenticity. The incompetence of individual and independent blockchains to interact with each other is an ingrained issue in decentralized systems. Cross-Chain Interoperability Protocol (CCIP) and similar mechanisms support networks like Fabric, Ripple and Ethereum to interrelate and interoperate each other. It is identified that the shortfall in such significant inter-blockchain communication creates a hassle for the mainstream adoption of blockchain. The article discusses different techniques and methods that provide cross-chain interoperability, its significant features and its applications in blockchain technology. It proposes the Inter-operable Blockchain Framework Design (IBFD), a cross blockchain architecture for interoperability of blockchain networks.
Eye Contact Measurement using NAO Robot Vision for Autism Intervention

Eye-tracking is regarded as a valuable instrument for evaluating intervention programmes, especially those in the social or communication categories. It includes the robot-mediated intervention in which a robot is utilised to converse with children during therapy. Nevertheless, recent robot-mediated interventions continue to measure eye contact manually using video recordings for evaluation purposes. Using an additional measuring device other than the robot itself is inefficient without exploring its advanced robotics capabilities. Therefore, this research suggests measuring eye contact using an NAO robot vision and compares it to the conventional recorded video analysis. During a therapy session, the NAO robot's cameras automatically measure and compute eye contact data. The NAOqi PeoplePerception ALGazeAnalysis API analyses the detected individual's gaze direction. The ‘look’ and ‘not look’ events are alternately raised till the end of the module time, with each eye contact duration added to the total sum for calculation. The code has been improved to account for unnecessary detection during momentary eye contact aversion or glance for a more accurate assessment. Then, an experiment is undertaken to compare the measurement to the traditional recorded video approach at each range. The ON difference data were plotted on a Bland-Altman graph to determine the degree of agreement between the two approaches. Even their 95 per cent confidence intervals fall well inside the maximum variance allowed. This indicates that both methods demonstrate excellent agreement, and there is no noticeable difference between them. Consequently, it may be argued that the NAO robot can replace the traditional recorded methodology or that the two methods are interchangeable.