Reviewerly/exHarmony huggingface dataset:
(Invited) Transition Metal Oxide Catalysts for the Oxygen Evolution Reaction

Currently, approximately 96% of global H 2 production is carried out by fossil fuel based routes such as steam reforming of natural gas or coal gasification; 1 while only 4% of H 2 is generated by renewable energy routes such as water splitting. To increase the percentage of H 2 produced by water splitting, it is necessary to lower the overall cost and, at the same time, to improve the efficiency associated with water splitting technologies, which is, closely related to cost, durability and kinetic issues arising from the catalysts used. Water splitting, also known as water electrolysis, is the separation of the H 2 and O 2 from water using an external power source, denoted as the Hydrogen Evolution Reaction (HER) and the Oxygen Evolution Reaction (OER), respectively. 2 Even though the main goal of water splitting is to produce H 2 , the opposite reaction, the OER, hinders the overall performance of this process. Hence, to make the overall process of water splitting more efficient, new active and more conductive OER catalysts need to be developed. In general, layered/2D materials exhibit higher surface area and are more conductive than their bulk counterparts therefore hold great promise as next generation materials for the OER. 3 Hence, as Transition Metal Oxide (TMO) based materials are currently the best performing catalysts for the OER, it is logical that few layer and 2D TMO materials are likely candidates to emerge as alternative low cost and active catalysts for this electrochemical energy conversion application. 2 In this talk, layered/2D TMO based materials as potential catalysts for the OER will be discussed. 4 S. Shiva Kumar and V. Himabindu, Materials Science for Energy Technologies , 2019, 2 , 442-454. M. P. Browne, Z. Sofer and M. Pumera, Energy &amp; Environmental Science , 2019, 12 , 41-58. J. N. Coleman, M. Lotya, A. O’Neill, S. D. Bergin, P. J. King, U. Khan, K. Young, A. Gaucher, S. De, R. J. Smith, I. V. Shvets, S. K. Arora, G. Stanton, H.-Y. Kim, K. Lee, G. T. Kim, G. S. Duesberg, T. Hallam, J. J. Boland, J. J. Wang, J. F. Donegan, J. C. Grunlan, G. Moriarty, A. Shmeliov, R. J. Nicholls, J. M. Perkins, E. M. Grieveson, K. Theuwissen, D. W. McComb, P. D. Nellist and V. Nicolosi, Science , 2011, 331 , 568-571. S. Jaśkaniec, C. Hobbs, A. Seral-Ascaso, J. Coelho, M. P. Browne, D. Tyndall, T. Sasaki and V. Nicolosi, Scientific Reports , 2018, 8 , 4179.
An Analysis of the Effects of Formal Institutions on High-Quality Entrepreneurship Across Nations

Entrepreneurs differ in the degree and type of novelty and economic contribution they introduce to a nation's economy. This paper defines the quality of early-stage entrepreneurial efforts based on motivation (opportunity-driven), customer demand (innovativeness), and supply-side technology and processes (newness of used technology). How early-stage high-quality entrepreneurial efforts are formed and exploited depends upon the institutional environment. We contribute to academia on the contextual determinants of entrepreneurship by examining Global Entrepreneurship Monitor (GEM) multi-level data on 2,115,018 individuals from 101 countries for 2003-2016. We show that formal institutions differently affect early-stage high-quality entrepreneurship activities across countries. Regulatory efficiency and trade freedom have an expected positive and statistically significant effect on early-stage high-quality entrepreneurship. On the other hand, government integrity (i.e., corruption) has an unexpected negative, and statistically significant relationship. We find that the level of economic development in a country positively moderates the relationship between government integrity and early-stage high-quality entrepreneurship. We discuss the practical implications for business leaders and policy-makers and avenues for future research in academia.
Meta Adversarial Training against Universal Patches

Recently demonstrated physical-world adversarial attacks have exposed vulnerabilities in perception systems that pose severe risks for safety-critical applications such as autonomous driving. These attacks place adversarial artifacts in the physical world that indirectly cause the addition of a universal patch to inputs of a model that can fool it in a variety of contexts. Adversarial training is the most effective defense against image-dependent adversarial attacks. However, tailoring adversarial training to universal patches is computationally expensive since the optimal universal patch depends on the model weights which change during training. We propose meta adversarial training (MAT), a novel combination of adversarial training with meta-learning, which overcomes this challenge by meta-learning universal patches along with model training. MAT requires little extra computation while continuously adapting a large set of patches to the current model. MAT considerably increases robustness against universal patch attacks on image classification and traffic-light detection.
PEMBELAJARAN MENULIS PUISI DENGAN PENDEKATAN KONTEKSTUAL

Learning to write poetry is generally considered a difficult thing for students to do. This difficulty is due to the lack of or low vocabulary of students in writing poetry, so that when writing poetry, many students have difficulty expressing ideas and completing their writing into a written poem. This research was conducted at SMA PLUS AR-RAUDHAH with 24 students as research subjects. The formulation of the problem faced in this study is how difficult are students in writing poetry? This study aims to answer the formulation of problems regarding students' difficulties in writing poetry, as well as to determine an increase in the initial and final test scores in learning to write poetry. This research method uses descriptive qualitative and uses data collection techniques in the form of skills tests. Based on the results of research during learning activities, it shows that writing poetry using a contextual approach has been effective for use in classroom learning by getting an average score on the initial test 58.3 and the final test score with an average score of 76.8. Thus the use of a contextual approach to learning to write poetry is effective for use in classroom learning which is able to experience an increase in student learning outcomes by obtaining a score above the KKM average in Indonesian subjects.
Hardness of constant-round communication complexity

How difficult is it to compute the communication complexity of a two-argument total Boolean function f : [N] X [N] → {0, 1}, when it is given as an N X N binary matrix? In 2009, Kushilevitz and Weinreb showed that this problem is cryptographically hard, but it is still open whether it is NP-hard. In this work, we show that it is NP-hard to approximate the size (number of leaves) of the smallest constant-round protocol for a two-argument total Boolean function f : [N] X [N] → {0, 1}, when it is given as an N X N binary matrix. Along the way to proving this, we show a new deterministic variant of the round elimination lemma, which may be of independent interest.
PREDIKSI JUMLAH PRODUKSI KELAPA SAWIT DENGAN REGRESI LINEAR BERGANDA

PT. Plantation Nusantara 6 is a state-owned enterprise that has two core businesses with a composition of 95% of palm oil business and 5% of tea business. Bunut Business Unit is one of the business Unit and is a core garden of PT. Plantation Nusantara (PTPN) 6 located in Markanding Village, North Bahar District, Muaro Jambi Regency, Jambi province which has potential of palm oil plantation crops Large enough, in August 2019 the total production reached 41.414.550, this indicates that the amount of oil palm production is still not efficient because due to irregular rainfall, plant life, fresh fruit bunches, haze from fires and Harvester Power. It is therefore needed an analysis to know if the amount of production in the next month has increased or decreased and whether there are other production factors that affect it. Therefore, researchers conduct data mining analysis on the production of oil palm to become information that can be used by PTPN 6 business Unit Bunut Jambi. Researchers took production data in 2018 and in 2019. In conducting the analysis, researchers use multiple linear regression methods and use SPSS tools. After analysis with a partial T-test for fresh fruit bunches (X1) has a significant influence on the amount of production of oil palm (Y), the list of present Harvester (X2) has an insignificant influence on the amount of production of oil palm (Y). Simultaneously (together) fresh fruit bunches (X1) and Harvester (X2) greatly affects the number of palm oil production (Y). Dearn also for MAD (Mean Absolute Deviation) 43.636.311,67, MSE (Mean Square Error) 1.916.114.651.658.140, RMSE (Root Mean Square Error) 43.773.446,88 and MAPE (Mean Square Percentage Error) of 78,59%.
고정희와 수팅의 여성시 비교연구 - 참여로서의 여성적 글쓰기 -

The purpose of this study is to compare Go Jeong-hui who went through the period of turbulence in the 80’s with a series of pro-democracy movements in Korea and Sū Tǐng who lived through the 80’s in China that was in the center of enormous social as well as economic transformation within the flow of new culture and ideology after the cultural revolution of major disturbance lasting for 10 years and consider how women’s writing was realized aesthetically as participation in the era when resistance against suppression took place explosively in the two areas equipped with different cultures and systems as capitalism and socialism. Go Jeong-hui and Sū Tǐng were both representative women oriented to the same path in the aspects of resisting against male authority and refusing male-dominated literary tradition; however, in the aspects of expression, they are characterized very differently. Go Jeong-hui established the identity of feminist poetry by dismantling poetic grammar that trapped the writers and disclosing the suppressive mechanism of poetic writing through explicit utterances while Sū Tǐng expressed what she wanted to say through misty poetry correspondingly to the circumstances in China. Go Jeong-hui reported physical suppression, substantial pain, and hardships in life that women had to go through in men-oriented society through female narrators either directly or indirectly whereas Sū Tǐng chose not to report such aspects of men directly but to negate the image of traditional women relying on and adapting to men and stress the importance of women having to become independent and subjective mainly. Also, in reporting the truth of external world symbolizing male authority, Go Jeong-hui tried to resist that through straight-forward expressions while Sū Tǐng suggested women them to look back on themselves first rather than to confront it directly through the use of exquisite analogy or metaphor. Lastly, about the possibility of overcoming it, Go Jeong-hui developed the possibility of building a new world through mothers’ sacrifice and sisterhood whereas Sū Tǐng brought macroscopic discourse as comparing mothers to the mother nation solely.
Word-based encryption algorithm using dictionary indexing with variable encryption key length

&lt;p&gt;This paper proposes a new algorithm for text encryption utilizing English words as a unit of encoding. The algorithm vanishes any feature that could be used to reveal the encrypted text through adopting variable code lengths for the English words, utilizing a variable-length encryption key, applying two-dimensional binary shuffling techniques at the bit level, and utilizing four binary logical operations with randomized shuffling inputs. English words that alphabetically sorted are divided into four lookup tables where each word has assigned an index. The strength of the proposed algorithm concluded from having two major components. Firstly, each lookup table utilizes different index sizes, and all index sizes are not multiples of bytes. Secondly, the shuffling operations are conducted on a two-dimensional binary matrix with variable length. Lastly, the parameters of the shuffling operation are randomized based on a randomly selected encryption key with varying size. Thus, the shuffling operations move adjacent bits away in a randomized fashion. Definitively, the proposed algorithm vanishes any signature or any statistical features of the original message. Moreover, the proposed algorithm reduces the size of the encrypted message as an additive advantage which is achieved through utilizing the smallest possible index size for each lookup table.&lt;/p&gt;
El marketing de influenciadores a la luz de las normas de competencia desleal y de protección al consumidor en Colombia

This document aims to resolve how Laws 1480 of 2011 and 256 of 1996 are applicable to influencers in two cases; the first, when the influencer mentions or advertises products in social media without any agreement or without disclosing his relation with the brand or company interested, and expose false and wrongful information; and the second, when the influencer do disclose his relationship with the brand or company and announces products in their behalf, but also exposing false and wrongful information about the product.
THE FIRST STEPS TOWARDS THE FIRST-ORDER POLITENESS RESEARCH IN UDMURT

The research is the continuation of my dissertation written at the Department of the Finno-Ugrian Philology of the University of Szeged. However, in this research I do not analyse politeness on my own like I did in my dissertation, as I include answers of native speakers of the language. They express their own ideas about the different answers I got during my PhD research. This study is based on interviews conducted with 10 native speakers of the Udmurt language. These speakers not only represent different age groups but they have different backgrounds as well: I included speakers of the southern and the northern dialects of the language, there are students and teachers of the Udmurt State University and there are two speakers who had been living abroad for at least two years at the time of recording. There were three main exercises to complete during the interview: in the first one they had to express their opinions about answers that I had acquired earlier in different politeness situations, in the second one they had to group answers based on which ones can belong to the same speaker and in the last one I showed them the correct groups of answers and they had to identify the age, the gender, the dialect and the place of origin of the speaker. Their answers can be really helpful to support my previous results or to open a new perspective in the research because, as native speakers, they are able to understand small differences that could be easily skimmed over by non-native speakers. This research has two main parts. In the first part the native speakers express their ideas about answers in given situations and in the second part they try to identify the age, the gender, the dialect and the place of origin of the speakers based on their answers. In the first part the answers usually matched with each other but the interpretation of the Udmurt second past in this situation led to the biggest contradiction in this research. Some of the speakers (as I expected) said that it makes the sentence more polite, but there were some speakers who felt exactly the opposite way about it because in their interpretation it means that the speaker used this tense to avoid responsibility. From the second part it draws out clearly, that there is no age, gender, dialectal or geographical group of speakers who could be easily identified by the given answers and the speakers mainly, but not exclusively, used stereotypes for identification. The result of this is that the answers were about as accurate as taking a blind guess.
CURRICULAR DEVELOPMENT OF SERVICE-LEARNING FOR ENGINEERING STUDENTS THROUGH INITIAL TRAINING IN COOPERATION FOR DEVELOPMENT

Learning in higher education participates in the current continuous process of informal, non-formal, and formal curricular training. In the lifelong learning spectrum, curricular formal education can benefit from the contribution of service-learning. Learning in the context of real projects involved with cooperation for development has been identified as a potential advantage for an integral training of the student, retention, and academic success. In addition, it represents a contribution to the social responsibility practice of the educational institution, together with the well-being of people in developing countries. In this context, the design of a service-learning action around cooperation for development in water and sanitation is introduced, with the final aim at approaching this activity-based learning to the curriculum of engineering students in the industrial field. We introduce the interest features of service-learning around cooperation for development in engineering studies, and the target group is identified. Student polls and promoters' brainstorming are the initial drivers of the proposal. Different options to reach a satisfactory design and implementation are discussed around formats and channels, with the focus on a flexible configuration and student-centered learning. The results include the configuration of a massive online open course (MOOC), already implemented and in service, and the design of a blended training action based on it. The conclusions summarize the methodological proposals to introduce this active learning initiative in the curriculum.
Class Hierarchies and Inheritance

Methods and polymorphism using them are a key idea in object-oriented programming, and you have much more to learn about them as you progress in your programming career. But in object orientation, there is an additional feature for inheriting implementations from one class into another. You can build hierarchies of types, where some types can reuse code from other types. It is essential in the software engineering underlying many systems, and we get a little taste of what it means in this chapter.
Implementation and Practice of Organic Chemistry Mixed Teaching

The mixed teaching method is a new teaching mode, which makes up for the shortcomings of the traditional teaching mode, and makes some innovations and breakthroughs on the basis of it. It has certain advantages in playing the dominant position of students. According to the characteristics of students' major, this paper discusses the practical application of mixed teaching method in organic chemistry teaching from the aspects of learning needs, teaching design and evaluation standards.
The Effect of Background Subtraction on Abnormal Event Detection in Video Surveillance

In this study, the effect of background subtraction in the proposed method for abnormal event detection in video surveillance was investigated. Extracted video frames have passed through various processes and trained the model in the Long Short-Term Memory Network (LSTM) based Convolution Autoencoder architecture. There is no labeling in the data. Semisupervised learning model has been implemented by training with the normal video images. The trained model is structured according to the input data and new frames are tested on the model. The conformity of the tested frames to the model was observed with the generated regularity score. The outputs of the model trained by the background subtracted frames and the model trained by the normal frames were compared. According to the results, it was observed that background subtraction increases the accuracy in detecting abnormal events.
Building the Knowledge Graph for Zakat (KGZ) in Indonesian Language

In Indonesia, philanthropy is identical to Zakat. Zakat belongs to a specific domain because it has its characteristics of knowledge. This research studied knowledge graph in the Zakat domain called KGZ which is conducted in Indonesia. This area is still rarely performed, thus it becomes the first knowledge graph for Zakat in Indonesia. It is designed to provide basic knowledge on Zakat and managing the Zakat in Indonesia. There are some issues with building KGZ, firstly, the existing Indonesian named entity recognition (NER) is non-restricted and general-purpose based which data is obtained from a general source like news. Second, there is no dataset for NER in the Zakat domain. We define four steps to build KGZ, involving data acquisition, extracting entities and their relationship, mapping to ontology, and deploying knowledge graphs and visualizations. This research contributed a knowledge graph for Zakat (KGZ) and a building NER model for Zakat, called KGZ-NER. We defined 17 new named entity classes related to Zakat with 272 entities, 169 relationships and provided labelled datasets for KGZ-NER that are publicly accessible. We applied the Indonesian-Open Domain Information Extractor framework to process identifying entities’ relationships. Then designed modeling of information using resources description framework (RDF) to build the knowledge base for KGZ and store it to GraphDB, a product from Ontotext. This NER model has a precision 0.7641, recall 0.4544, and F1-score 0.5655. The increasing data size of KGZ is required to discover all of the knowledge of Zakat and managing Zakat in Indonesia. Moreover, sufficient resources are required in future works.
RIDER STRATEGY TO IMPROVE STUDENTS’ ABILITY IN READING COMPREHENSION

Reading is one of skill in English that can help students to gain more information and knowledge. One of strategies in teaching reading comprehension that is RIDER (Read, Imagine, Describe, Evaluate, Repeat) strategy. The objective of this research was to know the implementation of RIDER strategy to improve the students’ reading comprehension ability. The researcher applied Classroom Action Research (CAR) in this study. The subject of this research was students of XI MA Ma’arif Balong, Ponorogo. The number of students is 27 students. The study carried out in two cycle. The data gathered through interview, observation, documentation, and test. The data were analyzed using quantitative descriptive. The result of this study showed that: (1) After implementing the RIDER strategy, the students are more interested in English reading.  The students’ ability in reading comprehension has improved. (2) There was significance improvement after implementing RIDER strategy. It can be seen clearly from the students’ achievement in pre-test score was 44.81. It means there were only 14% of the whole students could passed KKM. Then, in cycle I, the mean of score was 62.22. There were 29% students passed KKM. Next, the mean score of cycle 2 score was 77.96. It means that 100 % students got the score above KKM. The Minimum Mastery Criterion (KKM) of English lesson was 6.8. Based on the result above, it can be concluded that the RIDER strategy was effective enough to improve the students’ reading comprehension ability.
Innovative Development of College English Education from the Perspective of New Media

New media is an important force in the innovation of “new curriculum reform”, which plays a positive role in improving teaching quality, optimizing teaching resources and expanding teaching content. However, the traditional concept of education is still deep-rooted, and the connotation of new media is rich year by year, but the utilization rate of educational resources is still not up to standard. Based on the teaching practice, this paper briefly analyzes the problems existing in college English education in today’s society, points out the necessity of introducing new media into college English teaching and the advantages of new media itself, and roughly puts forward the direction of innovative development of new media in college English teaching.