Reviewerly/exHarmony huggingface dataset:
No Algorithmization Without Representation: Pilot Study on Regulatory Experiments in an Exploratory Sandbox

The exploratory sandbox for blockchain services, Lithopy, provided an experimental alternative to the aspirational frameworks and guidelines regulating algorithmic services ex post or ex ante. To understand the possibilities and limits of this experimental approach, we compared the regulatory expectations in the sandbox with the real-life decisions about an "actual" intrusive service: contact tracing application. We gathered feedback on hypothetical and real intrusive services from a group of 59 participants before and during the first and second waves of the COVID-19 pandemic in the Czech Republic (January, June 2020, and April 2021). Participants expressed support for interventions based on an independent rather than government oversight that increases participation and representation. Instead of reducing the regulations to code or insisting on strong regulations over the code, participants demanded hybrid combinations of code and regulations. We discuss this as a demand for "no algorithmization without representation." The intrusive services act as new algorithmic "territories," where the "data" settlers must redefine their sovereignty and agency on new grounds. They refuse to rely upon the existing institutions and promises of governance by design and seek tools that enable engagement in the full cycle of the design, implementation, and evaluation of the services. The sandboxes provide an environment that bridges the democratic deficit in the design of algorithmic services and their regulations.
Humanistic Values in Metaphoric Expressions of Traditional Marriage in Tolaki Mekongga Kolaka

This paper discusses the humanistic values based on the local wisdom of Mekongga dialect of Tolaki. It focuses on the form of metaphorical expressions. The problem relates to the types of humanistic values contained in the text "mowindahako" (expression relates to customary marriages accomplishment). The metaphorical expression in the marriage custom is not only an unusual form of speech in society, but it is also an indication of various local policies of the people who use it. Tolaki Mekongga community in Kolaka Regency, Southeast Sulawesi, has a very strong cultural background. The data source of this research is the text expression of "mowindahako". The data were obtained by conducting interviews and observations at the time a wedding ceremony was performed and also the published texts as a comparison. The results of data analysis indicate that the humanistic values in the text of "mowindahako" are packaged in an understandable metaphorical form based on the cultural context of the community, family values, respect for fellow human beings, and praying for mutual safety. The expressions of these values are in form of human metaphors of human, substance, living of flora and plants, the energy of water, and being (truth). In addition, in the expression of traditional marriage, the wisdom of the community in solving various problems, the wisdom of the supporting community in obeying the provisions or rules that have been mutually agreed upon, and the wisdom of the community in maintaining the harmony of life and association, especially the internal life of the supporting community.
Destructive Consistency

It seems to be in the nature of people drawn to discussions of markup, that is, people likely to be at Balisage , that we value consistency. We want both our physical and virtual worlds to make sense and we expect consistency. We chafe when forced to drive on the “wrong” side of the road. We want the names used in our markup vocabularies to be formed in consistent ways — either use CamelCase or don’t, for example. We want things that are parallel to be handled in parallel ways. This feels comfortable to us, and we think we are doing good by pushing the world toward our comfort zone. This, it seems to me, is one of the reasons that explicit markup has not taken the world by storm. We are not meeting people where they are; we are trying to change where they are. Worse, we are (deliberately? frequently?) blind to their styles and desires. This just plain doesn’t work! Our obsession with consistency is destructive.
Text to speech using Mel-Spectrogram with deep learning algorithms

The purpose of text to speech (TTS), sometimes called speech synthesis, is to synthesize a natural and intelligible speech for a given text.A wide range of applications uses TTS technologies in media, chatbots, and entertainment, among other fields, making it a hot topic for the research community.Recently, the progress achieved by artificial intelligence, especially in deep learning and neural networks, enables TTS to produce a high-quality synthesized speech.However, despite the success achieved, currently, available works suffer from the need for very long training and inference time, which makes it dominated by big tech companies.This paper proposes a model based on convolutional neural networks (CNN) and gated recurrent units (GRU).The proposed model can work even in low computational environments and requires low training time.The MOS achieved is 4.26, higher than the MOS performed by state-of-the-art methods.
Microfacies Analysis the Lower-middle Miocene Succession, Kirkuk area

The Lower-Middle Miocene succession in kirkuk area include the Serikagni, Euphrates, Dhiben, Jeribe and Fatha formations in addition to Govanda and Ghar formation.The Euphrates, Dhiban, and Jeribe formations for study in Ja-26 and Hr-41 wells at Kirkuk area have similar facies and difficult recognized in order to Dhiban Formation separated with them.Therefore Euphrates ,Dhiban, and Jeribe formations are favored one group where to be similar in paleoenvironment depositonal and facies analyses.Which most them are formed from restricted marine and shallow open marine environments that consisting of lime mud stone, wakestone and packstone which consist skeletal grains of fossils especially milolid and nonskeletal grains of pellits and peloids in addition to dolomite and dolomitic mud and wackestone.The sabkha environment is recognized to Dhiban Formation and at the Jeribe Formation there are fixed occurrence of blue marl facies which represent the deep marine environment and fossilifrous peloidal packestone-grainestone facies represent shoal environments.The Fatha Formation and Serikagni Formation are considered resigning formations where Serikagni Formation is recognized by planiktonic deep marine environment while Fatha Formation is recognized dependence on location of sequence stratigraphy that is characterized high thick of salt, gypsum, anhydrate rocks in addition thin interbeded carbonates rocks.
The Solar Energy Forecasting by Pearson Correlation using Deep Learning Techniques

Solar energy is one of the most important renewable energy sources (RES) with many advantages as compared to other types of sources. Climate change is gradually becoming a global challenge for the sustainable development of humanity. There will potentially be two key features, for future electricity systems, high penetration or even dominance of renewable energy sources for clean energy e.g., onshore/offshore wind and solar PV. Solar energy forecasting is essential for the energy market. Machine learning and deep learning techniques are commonly used for providing an accurate forecasting of the energy that will be produced. The weather factors are related to each other in terms of influence, a wide range of features that are necessary to consider in the prediction process. In this paper, the effect of some atmospheric factors like Evapotranspiration and soil temperature are investigated using deep learning techniques. Higher accuracy is achieved when new features related to solar irradiation were considered in the forecasting process.
Bank Competition, Financing Constraints and Enterprise Innovation

Abstract In recent years, the innovation behavior of enterprises has attracted more and more attention. Our study proves that encouraging bank competition can promote enterprise innovation. The study found that there is a negative correlation between the bank concentration index in county areas and the innovation output of local enterprises in China. At the same time, we find that bank competition can more effectively improve the financing constraints of private enterprises and small enterprises, thus promoting enterprise innovation. JEL classification numbers: G21,O31,O32. Keywords: Bank Competition; Financing Constraints; Enterprise Innovation; Credit Discrimination.
A Study on the Impact of Market and Strategic Orientations on Business Performance by Emphasizing the Role of Innovation as a Mediator

This research aims to study the effects of strategic orientations as a broad spectrum of views on business performance. At the micro-level, the impact of market orientation as one of the main strategic orientations on performance was investigated. The statistical population of the study can be considered as 4,000 people. According to Morgan's table, we have tested the hypothesis using a sample of 351 people working in Iranian firms active in the healthcare field of supplying and manufacturing medical equipment and devices. So, we sent 351 questionnaires for data collection, and 247 were completed and then used for data analysis. This study emphasized the significant function of the market and strategic orientations on the organization's performance. By considering innovation as the mediator in this relationship, it has been found that innovation is critical in intensifying and improving business performance. Finally, we propose that managers, especially senior to middle ones, be alert and routinely seek appropriate strategies to implement in their department or firm following changes in a business environment and continuous technological advances.
Separability Criteria Based on the Weyl Operators

Entanglement as a vital resource for information processing can be described by special properties of the quantum state. Using the well-known Weyl basis we propose a new Bloch decomposition of the quantum state and study its separability problem. This decomposition enables us to find an alternative characterization of the separability based on the correlation matrix. We show that the criterion is effective in detecting entanglement for the isotropic states, Bell-diagonal states and some PPT entangled states. We also use the Weyl operators to construct an detecting operator for quantum teleportation.
Strategic investments in distributed computing: A stochastic game perspective

We study a stochastic game with a dynamic set of players, for modeling and analyzing their computational investment strategies in distributed computing. Players obtain a certain reward for solving a problem, while incurring a certain cost based on the invested time and computational power. We present our framework while considering a contemporary application of blockchain mining, and show that the framework is applicable to certain other distributed computing settings as well. For an in-depth analysis, we consider a particular yet natural scenario where the rate of solving the problem is proportional to the total computational power invested by the players. We show that, in Markov perfect equilibrium, players with cost parameters exceeding a certain threshold, do not invest; while those with cost parameters less than this threshold, invest maximal power. We arrive at an interesting conclusion that the players need not have information about the system state as well as each others' parameters, namely, cost parameters and arrival/departure rates. With extensive simulations and insights through mean field approximation, we study the effects of players' arrival/departure rates and the system parameters on the players' utilities.
Mutual Guidance Meets Supervised Contrastive Learning: Vehicle Detection in Remote Sensing Images

Vehicle detection is an important but challenging problem in Earth observation due to the intricately small sizes and varied appearances of the objects of interest. In this paper, we use these issues to our advantage by considering them results of latent image augmentation. In particular, we propose using supervised contrastive loss in combination with a mutual guidance matching process to helps learn stronger object representations and tackles the misalignment of localization and classification in object detection. Extensive experiments are performed to understand the combination of the two strategies and show the benefits for vehicle detection on aerial and satellite images, achieving performance on par with state-of-the-art methods designed for small and very small object detection. As the proposed method is domain-agnostic, it might also be used for visual representation learning in generic computer vision problems.
Applied Monocular Reconstruction of Parametric Faces with Domain Engineering

Many modern online 3D applications and videogames rely on parametric models of human faces for creating believable avatars. However, manual reproduction of someone's facial likeness with a parametric model is difficult and time-consuming. Machine Learning solution for that task is highly desirable but is also challenging. The paper proposes a novel approach to the so-called Face-to-Parameters problem (F2P for short), aiming to reconstruct a parametric face from a single image. The proposed method utilizes synthetic data, domain decomposition, and domain adaptation for addressing multifaceted challenges in solving the F2P. The opensourced codebase illustrates our key observations and provides means for quantitative evaluation. The presented approach proves practical in an industrial application; it improves accuracy and allows for more efficient models training. The techniques have the potential to extend to other types of parametric models.
Students’ Perception of Extensive Reading E-Book as Technology-Based Applications in Online English Language Classroom

Extensive reading allows students to read large amounts of text which also considered as an effective way to improve students' abilities not only in reading itself but it can also be used to improve other skills in learning English including writing, speaking and other aspects of English. Extensive reading develops reading comprehension, speed of reading, vocabulary, speaking, writing, listening, and almost all language aspects.&#x0D; The implication of this mini research is to contribute to further researchers in the future, especially in online learning contexts. The results of this study are able to provide information to educational institutions that the changes in the digital era should be balanced with the understanding of educators and students about technology itself. The use of ebooks is necessary for online learning systems so it is hoped that publishers and writers would focus more on digital learning products.
ANALISIS KUALITAS WEBSITE DENGAN METODE WEBQUAL 4.0 DAN IMPORTANCE PERFORMANCE ANALYSIS

&lt;em&gt;&lt;span lang="EN"&gt;This study aims to analyze the quality of the Tokopedia website based on user perceptions using the WebQual 4.0 method. It is also meant to find out the gap between the level of performance and the level of user interest and indicators that are the main priority for improvement based on Importance Performance Analysis (IPA). The dimensions used in WebQual 4.0 consist of usability, information quality, and interaction quality. The sample in this study was 100 respondents using the Tokopedia website. Based on the results of research using WebQual 4.0, the website's quality has a WebQual Index score 0.85, which was good because it is close to 1,00. While based on Importance Performance Analysis, in quadrant one, four indicators need to improve their performance. The average value of the gap for each dimension is 0.24 gap for the usability dimension, -0.32 for the information quality dimension, and -0.32 for the interaction quality. The value of the most significant gap lies in the indicator that the Tokopedia Website guarantees the security of users' personal data information of -0.72, which means more attention and improvement should be given to the indicators with the most significant gap.&lt;/span&gt;&lt;/em&gt;
Technology Effect of EFL Listening Comprehension to Teacher during Pandemic

The purpose of this research is to determine the impact of technology to student who taught listening comprehension during pandemic. The researchers recruited 66 senior high school students for this study. A test was used as a research instrument by the researchers. To display the material, the researchers used Learning Management System and Short Video on YouTube. The data was analyzed statistically by the researchers using an Anates program. The findings of this study indicate that technology-assisted language learning has a significant effect on EFL Listening Comprehension. This discovery demonstrated that technology-assisted language learning is an effective strategy for teaching Listening comprehension.
The Relationship Between Students’ Reading Motivation and the Success to Comprehend the English Texts

&lt;span lang="EN-US"&gt;Reading is one of the main skills that must be possessed by students in order to be successful in learning English as a foreign language. Meanwhile, motivation is very much needed in English learning because motivation is one of the determinant factors of student to succeed. The relationship of reading and motivation is two coin-sides that encourage anyone to read or not to read. The aim of making this study is to determine the relationship between students' reading motivation and reading comprehension. This study takes the setting of students who learn English as a foreign language at a state university in Palangka Raya--Indonesia during one month and half by selecting 36 college students with an age range between 19-21 years covered by 22 females and 14 males. This study used a correlational research design. The result shows that there is a positive correlation between students’ reading motivation and their reading comprehension which means the more motivated students in reading the more increased their comprehension in reading the texts. &lt;/span&gt;
REVEALING THE CHALLENGES AND PRACTICAL WAYS IN TEACHING WRITING ONLINE

The present study aims at examining the challenges confronted by the lecturers and the practical ways in teaching writing online. A qualitative research method was applied to get a deep understanding of the objective of this study. The data were collected through interviews and documentation. In obtaining the data, three English lecturers of UIN Maulana Malik Ibrahim Malang were interviewed by using a semi-structured interview. In addition, the supporting documents related to teaching writing online, such as teaching journals, teaching documents, and students’ portfolios were also gathered to enrich the data of the present study. The findings revealed that the challenges faced by the lecturers in teaching writing online include the students’ problems in internet connections and the difficulty in maintaining the students' writing process. It was difficult for the lecturers to ensure the originality of students' works; thus, the lecturers were unable to assess the actual student’s ability in writing. However, the lecturers did some practical ways to overcome the challenges in teaching writing online. Firstly, the lecturers applied synchronous and asynchronous meetings in the process of teaching and learning by utilizing some Learning Management Systems as online learning media. Secondly, the lecturers used Turnitin to check the originality of students’ works. Finally, the lecturers applied peer feedback to improve students writing skills.
Exploring needs analysis of English language training: An evidence from small hotel and restaurant employees in Nusa Lembongan, Bali, Indonesia

The tourism industry is one of the fastest-growing businesses in Indonesia, especially in Bali which contributes local and national economies. As most of the time English is used to carry out businesses, mastering English plays a significant role in their economic improvement. This study is intended to analyze the specific needs for English in the local tourism industry to prepare a need analysis of English language training for hotel and restaurant employees to empower the local community. The data for this mixed-method design study were taken a set of questionnaires on the needs, functions, and problems of using English in the tourism industry distributed to 36 respondents, observation, and interviews with employees as students and administrators. The collected data were analyzed using Katz’s (2009) simple non-parametric statistics and descriptive-interpretatively narrated. The findings show that most employees consider speaking to be the most important skill to function in their routine work because they need to guide, interact and communicate with (potential) customers, in particular, with foreign tourists visiting tourist attractions throughout the Mushroom Bay area, Nusa Lembongan. Concerning the use of English, they mostly employed English for general conversations, for providing services, and for giving information. The challenges they face in using English include inappropriate words and expressions usage in speech, being unable to understand foreign accents, having inadequate vocabulary in reading, and a lack of grammar knowledge in writing. These findings are used as the basis for developing course plans in English language training for small hotel and restaurant employees.
Pendidikan Pencegahan Dan Pengurangan Risiko Bencana (PRB) Sebagai Strategi Ketahanan Sekolah Dasar Dalam Penanggulangan Bencana

Abstract The aims of this study are to identify (1) the implementation of primary school DRR education in Indonesia, (2) strategies that can be implemented in integrating primary school DRR, and (3) the proposed framework for primary school resilience in disaster management. The method used in this research was Systematic Literature Review (SLR). The results showed that the implementation of DRR education in Elementary Schools in Indonesia was carried out through the integration of DRR materials into the curriculum, the integration of DRR materials into local content, and the integration of DRR materials into self-development. Strategies that can be implemented in integrating primary school DRR education include integration through an online platform created by the Ministry of Education and Culture, involving multi-stakeholders in disaster management in schools, implementing schools independently, integration through scout extracurriculars, through the civil servant pre-service system, and through local regulatory policies. The proposed framework for primary school resilience in disaster management include: (1) School disaster risk assessment and planning for the integration of DRR Education, (2) Teacher and staff training related to the integration of DRR Education, (3) Implementation of DRR Integration in accordance with school characteristics and taking into account the sustainability of integration, (4) Evaluation of the implementation of DRR Education Integration, and (5) DRR Integration Innovation.