Reviewerly/exHarmony huggingface dataset:
Arzeda raises cash for enzyme design

Arzeda has raised $33 million in series B funding to commercialize computerdesigned enzymes used in consumer products, food ingredients, and drugs. Arzeda uses artificial intelligence to create enzymes that can replace inputs with a bigger environmental impact. The firm began working with Unilever last year to make enzymes for household cleaning applications. The company has also worked with BP, Invista, Mitsubishi Chemical and Zymergen .
A Study on the Impact Factors of R&amp;D Efficiency and Efficiency by Technology Level : Focused on Equipment Investment in 30s Manufacturing Industries

Purpose The purpose of this study is to analyze the impact factors of R&D Efficiency by technology level, focusing on equipment investment in manufacturing industries. Methods In this paper, a Data Envelopment Analysis(DEA) method was used to measure the R&D efficiency by technology level in the manufacturing industry, and the impact factors of R&D efficiency were derived using the Tobit regression analysis. Results As a result of the analysis, the causes of R&D efficiency and inefficiency by technology level in the 30s manufacturing industry were identified. In addition, the impact factors of R&D efficiency were derived by technology level and facility investment size. Conclusion This study proposed a plan to improve R&D efficiency from the perspective of facility investment by technology level. The results of this study are expected to be used as a guideline for decision making in the government''s R&D efficiency policies in manufacturing industries.
Review recent rulings involving campus security

An overview of the key topics faced by campus administrators with citations to noteworthy cases, statutes, regulations, and additional sources.
Einfache Verfahren zur Vektorisierung von Textdaten

No AccessDeep Natural Language ProcessingApr 2022Einfache Verfahren zur Vektorisierung von TextdatenJochen HirschleJochen HirschleSearch for more papers by this authorhttps://doi.org/10.3139/9783446473904.004SectionsAboutPDF ToolsAdd to FavoritesDownload CitationTrack CitationsCopy LTI LinkPDF key 'share (en)' returned an object instead of string.FacebookTwitterEmailLinkedIn previous chapternext chapter FiguresReferencesRelatedDetails 2022Pages: 41-55Print ISBN: 978-3-446-47363-8eISBN: 978-3-446-47390-4 Copyright & Permissions© 2022 Carl Hanser Verlag GmbH & Co. KGPDF downloadLoading ...
A Comparative study on the expression of probability in Korean and Chinese epistemic modality

It is a consensus in grammar research that a sentence is composed of two parts: proposition, which expresses objective facts, and modality, which expresses the speaker’s subjective modality. Therefore, a good command of modal expression can better promote and enhance the interpersonal communication ability of Korean learners. There are many differences in grammar between Korea and Chinese in the expression of modality. This difference will affect Chinese Korean learner’s learning of Korean modal expression. Therefore, it is necessary to conduct a comparative study on the grammatical items representing modality in Korea and Chinese. Modality is traditionally classified as ‘epistemic modality’ and ‘non-epistemic modality’. Based on the theory of ‘epistemic modality’, this study selected the modal expression of probability as the research object. From the three aspects of ‘meaning’, ‘form’ and ‘pragmatics’, the comparative study of complete structure of Korea for probability and Chinese modal verb is conducted. The purpose is to provide basic information for Chinese Korean learners in their education around the expression of probability.
Detecting Anomalous LAN Activities under Differential Privacy

Anomaly detection has emerged as a popular technique for detecting malicious activities in local area networks (LANs). Various aspects of LAN anomaly detection have been widely studied. Nonetheless, the privacy concern about individual users or their relationship in LAN has not been thoroughly explored in the prior work. In some realistic cases, the anomaly detection analysis needs to be carried out by an external party, located outside the LAN. Thus, it is important for the LAN admin to release LAN data to this party in a private way in order to protect privacy of LAN users; at the same time, the released data must also preserve the utility of being able to detect anomalies. This paper investigates the possibility of privately releasing ARP data that can later be used to identify anomalies in LAN. We present four approaches, namely, naïve, histogram-based, naïve- <math xmlns="http://www.w3.org/1998/Math/MathML" id="M1"> <mi>δ</mi> </math> , and histogram-based- <math xmlns="http://www.w3.org/1998/Math/MathML" id="M2"> <mi>δ</mi> </math> and show that they satisfy different levels of differential privacy—a rigorous and provable notion for quantifying privacy loss in a system. Our real-world experimental results confirm practical feasibility of our approaches. With a proper privacy budget, all of our approaches preserve more than 75% utility of detecting anomalies in the released data.
PENGARUH PEMBELAJARAN MANDIRI BERBASIS LITERASI DIGITAL DAN KEGIATAN TERSTRUKTUR TERHADAP KEMAMPUAN KEMANDIRIAN MAHASISWA DI IAIN CURUP

The aim of this research is to find out the influence of independent learning models based on digital literacy and structured assignments on the independence abilities of students of the Islamic Education Study Program (PAI) Institut Agama Islam Negeri (IAIN) Curup. This research used a non-experimental research design. The sampling technique used is total sampling by taking the entire population to be used as research respondents. The samples in this study were students of the PAI Study Program, IAIN Curup class 5C and 5D in the 5th Semester who took the subject of Islamic Education Philosophy for the Academic Year 2021- 2022. Based on statistical analysis of this study, it was used to determine the relationship between independent learning models based on digital literacy and students' independence ability, showing tcount of 8,530 which was greater than ttable of 2,056, then to determine the relationship between structured assignments and independence ability, tcount of 35,467 was greater than ttable of 2.056, the results of the analysis also show that the Fcount is 571.6 greater than Ftable 3.34, so it can be concluded that there is the influence of independent learning models based on digital literacy, either partially or simultaneously, on the independence ability of students of the Islamic Education Study Program (PAI) Institut Agama Islam Negeri (IAIN) Curup
Structure and essence of the innovation potential of libraries

Subject. Socio-political and economic transformations of recent decades have brought about changes in the function of libraries, which are the concentration of information resources of the society. The unique position of libraries in the socio-economic system of the State predetermines the need for the formation of new, innovative approaches to manage their activities. Objectives. The aim of the study is to perform a comprehensive analysis of the essence of innovation potential of the library as a center of digital competencies for the promotion of innovative services for readers, authors, the society, the government, and business. Methods. The study rests on scholarly works of domestic and foreign scientists in the field of economic theory, management theory, theory of strategy, and innovation management. Results. The paper presents my own definition of the innovation potential of a library, which helped identify its specifics and component structure, i.e. technological, personnel, financial, marketing, organizational, and information components. Conclusions. Determination of the composition and structure of innovation potential of the library is a defining moment for a reasonable choice of priorities and directions in the formation of a strategy for advanced development. As a result of implementation of program activities of the strategy, libraries will play the role of a social institution being a center of digital competencies in the information society.
Braskem, Sojitz form ethylene glycol pact

The Brazilian chemical maker Braskem and the Japanese trading firm Sojitz plan a joint venture to produce biobased ethylene glycol and propylene glycol. They will use the Mosaik technology that Braskem and the engineering firm Haldor Topsoe have been testing in Denmark since 2019. The demonstration plant cracks monosaccharides into glycoaldehyde that is converted into the glycols. Braskem and Sojitz plan to build three industrial units, the first by 2025. Braskem has long made biobased polyethylene in Brazil via a route that dehydrates sugar-based ethanol into ethylene.
Electronic Speckle Pattern Interferometers

There are three basic optical setups for electronic speckle pattern interferometers (ESPIs) that measure object displacements but are restricted to measuring a few of the possible six degrees of freedom. Three of these interferometers will be described in the next three sections. Their optical setups have been successfully combined to achieve the measurement of additional degrees of freedom. For simplicity, all of the illuminations in the interferometers are assumed to be collimated. Still, the divergent light introduces additional constraints that need to be addressed in these kinds of interferometers.
Poetic economies of Walden

Walden Pond in Concord, Massachusetts, site of Henry David Thoreau’s famous 1850s two-year sojourn, is a fine case study in the poetics of water as it reflects the steadiness and variability of waters through time, translations, cultures. The pond served Thoreau for bathing, drinking, gardening, and contemplation. A kettle pond, it is wonderfully pure and clear, a beacon to non-literary seekers of retreat from heat as well as the Thoreau enthusiast. There, moreover, Thoreau recorded information useful to climate-change scientists today. Jeffrey Cramer claims that Walden commands re-viewing, pond and book, generation to generation, and in multiple ways by the individual: these two are sites flow and “flow” (in the Csikszentmihályi sense), as this chapter renews the myriad of meaning of Walden Pond, including the personal and professional, shortly after Thoreau’s bicentenary.
Instability of the North Korean Regime and the Residents Defection: A Plan for Enhancing the Capacity of Security Police for Their Settlement in South Korea -With a Focus on the Rank of the Security Police s Department of Service-

Purpose: Given the situation where it is expected that a plan of improvement for the North Korean refugee related support policy will be required in view of the recent incident of the North Korean defector returning to North Korea, which has become a problem in the South Korean society, the job satisfaction of the security police was surveyed based on the work area. This is because, given the situation where the security police perform various settlement related support activities as well as security tasks, which are their original duties, their job satisfaction can help improve the work efficiency and practically improve the settlement of the North Korean defectors. Method: In this study, among police officers in the security department as of 2020 who had experience in work related North Korean defectors, 100 trainees in the Police Human Resources Development Institute were surveyed via self-administration method. Among the collected survey questionnaires, 91 were selected as valid samples, excluding those whose answers were incomplete or missing. Results: First, the job satisfaction turned out to be higher as the number of employees of the police organization with which the police organization was affiliated increased, and second, the relationship between the division of work and authority and responsibility of the police working in large cities was clearer than that of the police working in small and medium cities, and as they are further classified and efficiently assigned, the commanders and superiors demonstrate a higher job satisfaction with the awareness that they are leading the staff by exam-ple rather than direct control. Conclusion: As a result of the study of this paper, the status of the North Korean defectors who are experienc-ing considerable difficulties in adapting and integrating into the South Korean society was identified, and the internal job satisfaction of the security police who are practically responsible for their settlement support was sur-veyed. Since the end of the Cold War, the status and job satisfaction of the security police have declined due to political reasons where the systemic competition between the South and the North has not surfaced, and the survey of their job satisfaction may yield a plan of improvement.
TOWARDS ENCOURAGING STUDENTS' PUBLIC SPEAKING SKILLS: ACTION RESEARCH IN ENGLISH LANGUAGE TEACHING

This article focuses on the research and methods used to develop public speaking in English. The study was carried out over 3 months and consisted of 2 stages. To learn more about the advantages of the proposed method, I participated in the first stage, and 70 people took part in the second stage who wanted to speak fluent English. They were of different ages and different social statuses. The study was conducted online in connection with the pandemic. The method used was the ZOOM platform, participants' emails, and telegrams. In the method used, the participants showed 3 different levels of results. 47 participants achieved the highest score, 19 participants completed the average score, and the remaining 4 participants achieved lower scores than the other results. Any participant can reach the highest level if he learns English in compliance with all the requirements and rules of the method used. This method differs from other methods of teaching English in that it focuses on speaking English. Since English is meant to be told, language only develops through speech. Through everyday practice, speaking English in public is formed and evolved. Considering the results and opinions of the students who participated in the research on the topic, it was concluded that the method used is the most effective and valuable.
A Study on Utilization of Artificial Intelligence in Smart Logistic

Purpose This study intends to present trend of artificial intelligence of technology in smart logistics and provide suggestion of IP-R&D strategy to company which is performing smart logistic in korea market Methods A total of 7,369 patent data of companies in US. and Korea were obtained from keywert and quantitative analysis and LDA based topic modeling are used to analyze trend of technology. Results firstly It was found that technology which are relevant to artificial intelligence widely used in smart logistics industry. second patents of advanced company like Amazon in US, Coupang in Korea have been increased but the other Korean companies have few patents which are related to smart logistics. Conclusion Big data, autonomous vehicle, voice and text recognition are main technology(hot topic) in smart logistic which is in the matured phase, smart logistics companies in the beginning step are needed to acquire IP-R&D strategy with above technologies, in addition government should have long-tern investment as national infrastructure as other advanced countries
Secure Digital Health Data Management in Internet of Things Using Blockchain and Machine Learning

Advancements in technology have led to dramatic development in the healthcare industry leading to rising demand for better data security and privacy. The medical field is revolutionized by emerging technologies like Artificial Intelligence (AI) and Internet of Things (IoT) for digital health tracking and remote diagnosis. Recently, medical data management systems are encountering challenges in terms of transparency, provenance and traceability of data since most systems use centralized databases which require third-party involvement. The smart technology AI and the immutable technology blockchain can potentially reshape the secure handling of this data. In this chapter, a two-part novel model is proposed to allay any security and privacy concerns in Internet of Healthcare Things. The first part analyses a patient's health parameters using machine learning, detects and discards anomalous data and stores the non-anomalous data with findings in a transparent, secure fashion using blockchain. The second part provides a secure way to preserve critical medical records in blockchain using sandboxed Secure Virtual Machines to avoid any of the privacy issues and computational power constraints of currently existing solutions making this model very secure. Using our model, crucial healthcare data is managed in a secure and transparent fashion within the bounds of the IoHT ecosystem, while also preserving the confidentiality of the concerned parties.
The Effect of Parents’ Play Belief on the Play Interaction with Young Children: Focusing on the Mediating Effect of Creative Home Environment

The purpose of this study was to identify parents and related variable which affect the interaction of play between parents and young children. In order to investigate the mediating effect of creative family environment on the relationship between parents play belief and parents play interaction with young children, 286 mothers who have young children aged 3, 4 and 5 were surveyed. The data were analyzed using IBM SPSS Statistics 21 statistics program, and the mean and standard deviations, frequency, Cronbach’s α reliability, hierarchical multi-regression were carried out. As a result, there was a significant correlation between play interaction and parents play belief and creative family environment. And, creative family environment partially mediated the influence of parents play belief on their play interaction with young children. The results of this study suggested that parents to have positive beliefs about play tend to improve their play interaction with young children through doing creative efforts to raise young children at home.
The effect of SMEs smart factory acceptance posture on smart factory construction performance - Focused on the mediating effect of related factors -

Purpose In order to find the policy direction for the successful construction of smart factories, we study the effects of government non-financial support, smart factory solutions, and the agency capability on corporate performance of smart factory establishment. Method Measured variables based on prior research were searched for, then questionnaires were formed, and the data surveyed on companies participating in the smart factory construction project were analyzed using PASW Statistics 18.0. Result As a result, it was confirmed that the company’s acceptance attitude had a significant effect on the construction performance. And the influence of the adopting company''s acceptance attitude on the construction performance was mediated by the adequacy of government support in the non-financial aspect and the capacity of the operating institution. Conclusion It is necessary to actively seek out the sharing and promotion of successful cases of excellent smart factory companies, and the use of retired professional technical personnel. In addition, it is necessary to select and input a competent operating agency.
Artificial Intelligence and Public Trust on Smart Healthcare Systems

The present study was planned to explore how the attributes of an AI-powered smart healthcare system affects the public trust and their continuous usage intention in Indian context. This study relied on primary data gathered from 462 survey participants who had experienced the AI-powered healthcare system in India. Outcomes of this research revealed significant and positive relation between the attributes of AI-powered smart healthcare system and public trust. Furthermore, the findings of this study discovered a significant relationship between public trust and their willingness to adopt with respect to the AI-powered smart healthcare system. Results of this study conceptually strengthens the present body of literature on human-computer relationship and will also help policymakers and service providers in crafting their future strategies for promoting AI-powered smart healthcare system in an emerging economy like India.
The Iterates of the Frank–Wolfe Algorithm May Not Converge

The Frank–Wolfe algorithm is a popular method for minimizing a smooth convex function f over a compact convex set [Formula: see text]. Whereas many convergence results have been derived in terms of function values, almost nothing is known about the convergence behavior of the sequence of iterates [Formula: see text]. Under the usual assumptions, we design several counterexamples to the convergence of [Formula: see text], where f is d-time continuously differentiable, [Formula: see text], and [Formula: see text]. Our counterexamples cover the cases of open-loop, closed-loop, and line-search step-size strategies and work for any choice of the linear minimization oracle, thus demonstrating the fundamental pathologies in the convergence behavior of [Formula: see text]. Funding: The authors acknowledge the support of the AI Interdisciplinary Institute ANITI funding through the French “Investments for the Future – PIA3” program under the Agence Nationale de la Recherche (ANR) agreement [Grant ANR-19-PI3A0004], the Air Force Office of Scientific Research, Air Force Material Command, U.S. Air Force [Grants FA866-22-1-7012 and ANR MaSDOL 19-CE23-0017-0], ANR Chess [Grant ANR-17-EURE-0010], ANR Regulia, and Centre Lagrange.
The Formation and Prevention Path of Telecommunication Fraud Crime

At present, telecommunications fraud cases show an increase in the intelligence of the means of committing crimes; Fraud gangs have obvious characteristics of organization, collectivization and professionalism; Regional characteristics are more significant; There are various forms of fraud, and the methods are constantly being refurbished; Cross-border features are obvious. In view of the current problems, such as difficulty in applying the law, difficulty in investigation and evidence collection, difficulty in cooperation in investigation and difficulty in recovering stolen money, this paper puts forward the improvement of laws and regulations; Strengthen industry cooperation and industry supervision; Pay attention to information and intelligence; Optimize the investigation process; Strengthen cooperation and mutual assistance and other paths.
Information Bottleneck based Representation Learning for Multimodal Sentiment Analysis

Recently, Multimodal Sentiment Analysis (MSA) has become a hot research topic of cross modal research in artificial intelligence domain. For this task, the research focuses on extract comprehensive information which dispersed in different modalities. In existing research works, some paid attention to the ingenious fusion method inspired by the consideration of intra-modality and inter-modality reaction, while others devoted to remove task-irrelevant information to refine single modal representation by imposing constraints. However, both of these are limited to the lack of effective control over information in the learning of multimodal representation. It may loss task-relevant information or introduce extra noise. In order to address the afore-mentioned issue, we propose a framework named Multimodal Information Bottleneck (MMIB) in this paper. By imposing mutual information constraints between different modal pairs (text-visual, acoustic-visual, text-acoustic) to control the maximization of mutual information between different modalities and minimization of mutual information inside single modalities, the task-irrelevant information in a single modal can be removed efficiency while kept the related ones, so that the multimodal representation is improved greatly. By the experiments on two widely used public datasets, it demonstrates that our proposed method outperforms existing methods (like MAG-BERT, Self-MM) in binary-classification and achieves a comparable performance in other evaluation metrics.