Reviewerly/exHarmony huggingface dataset:
Factors Predicting Consumer-AI Interactions

The involvement of Artificial intelligence (AI) in the everyday life of consumers has important implications on the way consumer and AI interact. AI and robots can have different roles in the interaction with consumers, from simple transactional exchange relationships to more complex empathetic ones. The present research focuses in finding the constructs that affect these consumer-AI relationships, by analyzing acceptance, trust, interaction quality, empathy, attachment, anthropomorphism, self-disclosing behavior, loyalty. Based on literature review, we focused on pointing out the factors that predict and affect consumerAI interactions. In the first part of the paper the role of trust was analyzed, while in the last part we focused in defining the way in which attachment and gender characteristics affect the relationship between consumer and AI. Our research shows that there are different types of relationships depending on the context, depending on trust, attachment, empathy, loyalty and gender characteristics. These results have important implications in the way robots and AI will be integrated in the shopping experience of consumer. Depending on the closeness of the relationship between consumer-AI, there will be different activities and roles that the AI will take over. For this reason, it is important to understand all facets of this relationship in order to implement it in an optimal way.
Research on Human Body Features Extraction based on Attention Mechanism

Human body features are widely used in existing downstream applications including medical health, behaviour predictions. The existing features extraction methods are concentrated on the deep learning optimization process, which ignore the important locations on human body features and cause the trained learning model can not precisely extract the fundamental body features. In this work, we initially utilize objective detection algorithm to identify the target area of human body and submit the detection results to the feature extraction module. Subsequently, attention mechanism to concentrate graph convolutional neural network on the body joints and motivate the model to generate precise extraction results. Finally, we utilize the MSCOCO data-set to evaluate our proposed model and compare with most used feature extraction algorithms. From our extensive simulation results, we can significantly conclude that our proposed attention mechanism can achieve the effectiveness and high accurateness of body features extraction through comparing with existing extraction methods in the identical simulation environments and data-sets.
Dynamic gesture recognition method based on Improved R(2+1)D

Currently, methods based on 3D convolutional neural networks have made significant progress in the field of dynamic gesture recognition. Dynamic gestures are highly redundant in both the temporal and spatial dimensions, and the complex environment during the recognition process can easily affect the final recognition results. Therefore, it is crucial to make the model focus on the important moments and regions of gesture movements and extract relevant salient spatiotemporal features to further improve model performance. To address this issue, this paper proposes a lightweight Temporal-Spatial-Channel attention (TSCA) module based on the R(2+1)D network. The module consists of two sub-modules: a Temporal-Channel attention (TCA) module and a Temporal-Spatial attention (TSA) module, with the goal of enabling the model to focus on important information along the spatial, channel, and temporal dimensions during gesture movements. Finally, the TSCA attention module is integrated into the R(2+1)D network, resulting in only a 2.8M increase in parameters, and achieves good performance on the IPN-Hand and NvGesture datasets.
Introduction to Scientific Computing

What follows are examples where the computed results are not what is expected. The reason for the problem is the same for each example. Namely, the finite precision arithmetic used by the computer generates errors that are significant enough that they affect the final result. The calculations to follow use double-precision arithmetic, and this is explained in Section 1.2.
Soundboard Scholar no. 8: Cover

Cover image: Ex Libris bookplate for Jane Patterson by Robert Anning Bell. Line illustration from 1893 that appeared in The Studio: An Illustrated Magazine of Fine and Applied Art. Private Collection.
PENGENALAN KONSEP BANGUN RUANG PADA PESERTA DIDIK TUNANETRA DI SLB

Blind students have limitations in obtaining visual information. In general, they only use the senses that still function apart from sight, so that during learning they only rely on verbal explanations from the teacher and the help of concrete objects that can be touched. This research aims to describe the process of introducing the concept of geometry, and knowing the increase in learning outcomes and enthusiasm in learning with concrete objects as media. This research is a qualitative-descriptive type. Data collection is done by observation, documentation, and tests. The research subjects were all class VIII blind students at SLB Negeri Rasau Jaya. The results of the analysis show that the introduction of the spatial concept is carried out in three stages, namely the preliminary stage, the core activity, and the closing stage. The results also showed an average increase in learning outcomes of 33.33% after using concrete objects as media. In addition, blind students show positive enthusiasm in learning with the help of concrete objects.
A Cognitive Study on semantic Expansion Phenomenon of Adjective-Noun Compound Verbs in Mandarin Chinese

本文从认知语言学的角度, 将形容词和名词为中心的扩展分为讨论。当形容词后跟名词宾语时, 形容词具有动词的特性, 不仅形容词的意义得到了扩展, 而且通过与后置宾语成分的组合, 进一步通过隐喻和转喻等方式产生了意义变化。在形容词和名词为中心的扩展中, 身体名词“心”大多是从心脏到心灵的隐喻扩展, 而在“空心”中, 它是从心脏到中心的隐喻扩展。形容词和名词为中心的扩展中, 身体名词“手”表示“权力”、“所有权”、“工作”等意义, 通常用于表达消极意义。地点名词“场”转化为器皿, “静场”、“冷场”、“清场”、“哑场”表示在器皿内充满了某种局面或气氛。 在形容词为中心的扩展中, 视觉形容词“清”经过抽象化过程从“清澈”扩展到“处理”、“清除”的隐喻意义, 而听觉形容词“闹”从基本意义“不安静”派生出“闹荒”、“闹气”、“闹事”等表示消极意义的意义。在形容词和名词为中心的扩展中, 形容词“红”和“黑”与身体名词相结合, 从颜色领域扩展到情感领域；尺寸形容词“短”从尺寸领域扩展到数量领域, “宽”从尺寸领域扩展到时间和情感领域。空间形容词“满”和“空”与仓库名词结合, 表示反义关系, 与各种名词组合, 扩展到数量领域、时间领域。 形容词和名词为中心的扩展通过形容词的意义扩展具有特殊的结构, 它可以接受名词作为目标语, 并以生动的方式表达说话者的情感、态度、地点氛围和事件状态等, 这是一种能够表达丰富情感和细节的语言形式。
Senegal

A cascade of external and domestic shocks –including the COVID-19 pandemic, rising global commodity prices and global economic slowdown linked to the Russian invasion of Ukraine, Ecowas sanctions against Mali, the US dollar appreciation, domestic spending pressures, and tightened global and regional financing conditions–have dampened economic activity in 2022, widened external and fiscal deficits, increased debt levels, and eroded regional international reserves. The challenging external environment, together with likely delays in the start of hydrocarbon production, will continue to weigh on economic activity in 2023. In the medium term, economic prospects remain favorable, with the temporary boost of oil and gas production, but ambitious reforms are needed to reduce macroeconomic imbalances, put debt on a downward trajectory, and make growth more inclusive. The impact of climate change in Senegal is projected to be severe and reforms to adapt to climate change while contributing to lower greenhouse emission rank high on the Senegalese authorities’ agenda.
Evaluation of the Implementation of the Fixed Asset Accounting Security Procedure System in the Regional Government of Bogor Regency

The Bogor Regency regional government must present detailed financial reports describing asset values, regulated in Government Accounting Standard Regulation No. 7 of 2010. On the other hand, the problem in regional asset management is the lack of orderly administration and legal order which has resulted in regional assets, especially regional fixed assets, not being able to be properly and accurately inventoried, the lack of previous technology, which is still limited makes some of the data owned by the Government Regions are not valid, coupled with Human Resources (HR) which are still very limited. The research aims to examine the implementation of the Fixed Assets Accounting Systems and Procedures and the safeguarding of fixed assets that the Government of Bogor Regency has implemented. The research method used is descriptive qualitative, which is a method that describes the problems or cases raised based on existing facts based on specific facts and then examines them to solve problems and draw general conclusions. The Bogor Regency Government 2013 launched the Regional Goods Cycle Information Technology Application (ATISISBADA), which implements Fixed Assets Accounting Systems and Procedures and safeguards fixed assets. The technology-based fixed asset information system assists administration or online administrative/inventory recording that coordinates the Management of Regional Property in Bogor Regency, which has 40 Districts and 38 SKPDs or Regional Apparatuses with a large number of assets in the Bogor Regency Government with a considerable value. The conclusion of the research on securing regional property on fixed assets in Bogor Regency is good regarding procedures or implementation of regional property management, especially on physical, administrative, and legal security.
Motivasi Guru dalam Prestasi Lomba Cipta Syair (Puisi) Siswa SD 1 Bakalan Krapyak Kudus

This research is a qualitative research with the aim of finding out the application of the learning process for writing poetry and the efforts made by the teacher to inspire kids' success in the primary school poetry competition for Elementary School 1 Students in the Bakalan Krapyak Kudus. This type of research is the use of a case study approach with a descriptive method. Collecting data in this study werw interviews, observations, and documentation of checking the validity of the data using, transferability, dependability, and confirmability. Data analisis tecniques used in this study data analysis Miles dan Huberman include data reduction, data presentation and drawing conclusions. The results of this study indicate that: poetry writing was established at SD 1 Bakalan Krapyak, Kudus Regency as an extracurricular activity to supplement curricular activities. The utilization of educational materials and assessments complements the teacher's personal approach to encouraging copyright competition success
STUDENTS’ PERCEPTIONS : THE USE OF TELEGRAM APPLICATION AS AN E-LEARNING TOOL IN ENGLISH CLASS

This study aims to determine students' perceptions of using the Telegram Application as a tool in learning in English class and also to find out what benefits they get when using the Telegram Application. In this study, the researcher used a qualitative descriptive method. Researchers used a questionnaire to determine the perceptions of students who were given to and interviews, namely to gain deep information about the questionnaire and to find out what benefits they got. There were 65 students who filled out the questionnaire and 26 students who had been interviewed. The results showed that the students' Perceptions towards the use of Telegram Application as an e-learning tool have positive perceptions. Moreover it was also revealed that the students get benefits when studying through the Telegram Application, they get many benefits. From the results, the majority of students agree that through Telegram students can make it easier to get material, make it easier for students to understand the material, as well as the many benefits they get from learning through the Telegram Application.
Alternative Confirmatory Factor Analytic Models for Examining Preservice Teachers' Non-Cognitive Skills

This study provides a comparative analysis of the inferences that can be reached about preservice teachers' emotional awareness and personality traits when several alternative factor analytic models are tested simultaneously. An empirical illustration is provided using two datasets collected for a research study aiming to profile the social-emotional behavior repertoire of preservice teachers. Four alternative factor analytic models were considered for both datasets: the unidimensional model, the correlated model, the higher- (or second-) order model, and the bifactor model. Results indicate that the higher-order factor model for emotional awareness (n = 670) and the bifactor model for personality traits (n = 670) were the preferred models that better represent the underlying factor structures. Multidimensionality and practical decisions concerning score reporting are discussed.
A Study on the perception of coffee shop brands using big data

This study aims to prepare an academic basis and contribute to establishing a strategic direction based on research results by examining the historical background and market conditions of coffee shops and deriving consumer perceptions by coffee shop brands using online big data. For this purpose, from January 1, 2016 to June 30, 2022, data were collected on Naver blog and Naver cafe using the keyword 'each coffee sales brand'. The collected data went through a refinement process, and word frequency analysis, TF-IDF analysis, and LDA analysis of topic modeling were performed through text mining analysis. As a result of the analysis, consumers' perceptions of each brand were derived, the implications of this were discussed, and the limitations of this study were described.
A Sstudy on the Life of Park, Jang Amand His Consciousness of Writing Hojeojip

This study aims to write the chronology of Park, Jang Am(1790~1852?) at a brief level, and to examine why he compiled Hojeojip, a kind of directory of people, and his intention. Park, Jang Am was born as his father's third son, Park, Je ga(1750~1805), an intellectual of the late Joseon Dynasty who was active in the 18th and early 19th centuries. Hojeojip, which Park, Jang Am wrote, consists of a list of Chinese intellectuals that his father met during his four trips to the Qing Empire Under the Qianlong Emperor's reign along with envoys dispatched for public duties.&#x0D; Yu, Bon Hak, Shin, Wi, and Li, Ding Yuan were the intellectuals of the 19th century Joseon Dynasty or of the Qing Empire abroad, who were close to Park, Jang Am. By examining the traces of his friendship with these three people, it is possible to know that Park, Jang Am was influenced or helped by them in the way he respected his father or in the work of supplementing the contents of Hojeojip.&#x0D; Hojeojip is a literature way for Park, Jang Am to respect his father, and more specifically, it was written to prove the existence of his father, Park, Je Ga, in the history of exchange between the Joseon Dynasty and the Qing Empires in the 18th and early 19th centuries. Several points can be presented as evidence for that. The first point is that he placed the materials of his father and Gwak, Jip Hwan's friendship at the beginning of Hojeojip. The second point is that the pages of Hojeojip include not only the articles related to his father but also those related to people who can be referred to as Park Je Ga's friends or disciples.&#x0D; In conclusion, Park, Jang Am revealed the purpose of praising his father's achievements in the literary exchanges between the Joseon Dynasty and the Qing Empire through Hojeojip. In other words, this is nothing other than the purpose of trying to prove not only the name of the family in the 19th-century literary world but also its presence.
Exploration of performance appraisal Strategy based on Big data and enterprise Development investigate

In recent years, the reform of the power system structure has gone deeper and deeper, and the national reform goals of "legal basis, separation of government and enterprise, subject regulation, fair trade, reasonable price and effective supervision" are also being implemented step by step. In the process of the rapid development of the system architecture of electric power enterprises, many private enterprises have also joined in the complicated market competition. The challenge of power grid status also means that it is necessary to carry out internal exploration to effectively meet the market competition.&#x0D; As a kind of evaluation system used in enterprises, performance appraisal has many different levels of significance. Performance appraisal should be able to provide the basic strength for the vigorous development of the enterprise, create a fair, open and vibrant competitive environment, and provide guidance for the learning, work and development of employees. In the traditional practice of performance appraisal in the past, the appraisal system is often regarded as a relatively independent design unit, which is generally decoued from many background elements in the enterprise, such as the strategic objectives of the enterprise, the internal culture of the enterprise, the individual learning and development direction of the employee, and the attitude and guidance of the enterprise manager. However, under the background of current market reform, the important relationship between these factors and performance appraisal is being recognized more and more. In this context, this paper tries to explore the key points of performance appraisal strategies with big data technology as the main axis and enterprise development goals as the guidance.
Using temporal user profiles in collaborative filtering recommender system

Time-aware recommender systems extend traditional recommendation methods by revealing user preferences over time or observing a specific temporal context. Among other features and advantages, they can be used to provide rating predictions based on changes in recurring time periods. Their underlying assumption is that users are similar if their behavior is similar in the same temporal context. Existing approaches usually consider separate temporal contexts and generated user profiles. In this paper, we create user profiles based on multidimensional temporal contexts and use their combined presentation in a user-based collaborative filtering method. The proposed model provides user preferences at a future point in time that matches temporal profiles. The experimental validation demonstrates that the proposed model is able to outperform the usual collaborative filtering algorithms in prediction accuracy.
ANALISIS PREDIKSI HARGA RUMAH DI JABODETABEK MENGGUNAKAN MULTIPLE LINEAR REGRESSION

The economic and infrastructure development in the Jabodetabek area has increased the rate of population growth in the region continues to increase. This attracted the attention of property agents in the housing price competition in the area, considering that the demand for housing will also continue to increase. There are several kinds of specificities and house prices in the Jabodetabek area, so an appropriate analysis is needed to get the desired house in this study the researcher implements the Multiple Linear method Regression to predict house prices with the desired specifications. This study used a total dataset of 3553 data with 11 variables obtained from the Kaggle.com. website The data will be through the pre-pronce process of data before training the model. Furthermore, at the evaluation stage using a test matrix, namely CC (Coefficient of Correlation), MAE (Met Absolute Error), RMSE (Root Met Square Error) is used to assess the performance of the model. Based on the results of the analysis from the dataset were 965 data, where the data was divided into two parts, namely, 80% as training data and 20% as testing data from the analysis results were obtained at an accuracy rate of 0.85 or 85% with an error rate of MAE of 375428909.51 and the RMSE level of 516385,50.
STAGES OF PROFESSIONAL DEVELOPMENT OF BACHELOR STUDENTS

The article analyzes the process of professionalization of bachelor students. The theoretical part of the work is devoted to the study of professional self-determination, professional formation and professional employment of the youth that are considered as are the students of stages of professional development of students. Given the Russian realities and the modern structure of the highest educational system, The theory of professionalization covers the undergraduate – the initial stage of professional development. The empirical part presents the results of a questionnaire survey among university bachelors. Based on the results of the study, it was concluded that the stage of professional employment is the most unstable of all the stages of professional development.
Integrating Policy Summaries with Reward Decomposition for Explaining Reinforcement Learning Agents

Explainable reinforcement learning methods can roughly be divided into local explanations that analyze specific decisions of the agents and global explanations that convey the general strategy of the agents. In this work, we study a novel combination of local and global explanations for reinforcement learning agents. Specifically, we combine reward decomposition, a local explanation method that exposes which components of the reward function influenced a specific decision, and HIGHLIGHTS, a global explanation method that shows a summary of the agent’s behavior in decisive states. Results from two user studies show significant benefits for both methods. We found that the local reward decomposition was more useful for identifying the agents’ priorities. However, when there was only a minor difference between the agents’ preferences, the global information provided by HIGHLIGHTS additionally improved participants’ understanding.
Limitations on Granting Copyrights to AI-Generated Works and Alternative Protection Methodologies

With the development of generative artificial intelligence technology, AI is emerging as a complete creative subject throughout the creative process. Therefore, in this paper, the concept of artificial intelligence-generated works (AGW) with minimal human intervention among AI-related creations is clearly defined through comparison with adjacent concepts, and then comprehensively summarizes the limitations of AGW protection in the interpretation of the current copyright law, and the international trend and overseas trends are briefly checked. Second, if it is difficult to protect by granting copyrights to AGW, first, consider how to leave it as a public domain, but also review the theoretical grounds for the theory of putting public domain and specific implementation methods thereof. Furthermore, we examine the limitations and problems of the theory of public domains, such as concerns about the possibility of abuse and false registration, as well as alternative solutions, to see what problems neglecting AGW, which is difficult to distinguish from human creation, can cause. Third, as a concrete protection methodology that has been discussed as an alternative solution, we look at the unification/dualization method and the method of subsuming within the copyright normative system or enacting a special law. In either way, the protection of AGW is premised on discriminatory protection, so this paper focuses on the theory of so-called ‘thin copyright protection’ and examines the key points that need to be reviewed in case of discriminatory protection.
Subsampling in ensemble Kalman inversion

Abstract We consider the ensemble Kalman inversion (EKI) which has been recently introduced as an efficient, gradient-free optimisation method to estimate unknown parameters in an inverse setting. In the case of large data sets, the EKI becomes computationally infeasible as the data misfit needs to be evaluated for each particle in each iteration. Here, randomised algorithms like stochastic gradient descent have been demonstrated to successfully overcome this issue by using only a random subset of the data in each iteration, so-called subsampling techniques. Based on a recent analysis of a continuous-time representation of stochastic gradient methods, we propose, analyse, and apply subsampling-techniques within EKI. Indeed, we propose two different subsampling techniques: either every particle observes the same data subset (single subsampling) or every particle observes a different data subset (batch subsampling).