Reviewerly/exHarmony huggingface dataset:
Wittgenstein's Theory of Metaphysical Expression and Meaning - Analytical Research

The problem of metaphysics is one of the philosophical issues of the current era, especially for the analytic philosopher (Ludwig Wittgenstein), who clearly defends phrases with meanings against phrases without meanings in his book (Tractatus) . Metaphysical expressions are one of the issue that Wittgenstein considered as a reason for the absence of an analogue and images of its components in the external world, describing it as meaningless and at the same time describing it as without sign and significance. An attempt was made to resolve this problem through a logical analysis of language and expressions, so that the phrase with meaning is the one of that is subject to conjugation and has an analogy in the external world and speaks directly about facts and phenomena within this world , otherwise all expressions are meaningless if these conditions are not met. At the same time , the values of correctness and error of expressions were linked to their ability to conjugate .Any expression and expression that is not subject to recognition of its value as true or false is unscientific and falls outside the meaning. Metaphysical expressions do not meet this condition, so they are considered meaningless and without reference.
The role of physical activity and self-esteem in youth leadership life skills

This study investigated the role of physical activity (PA) and self-esteem in leadership life skills of youth. Based on ‘Research on participation in youth activities (2018)’ by National Youth Policy Institute(NYPI), 6,772 elementary-middle-high school-aged youth who participated in activities related to leadership life skills were selected to research participants. The survey data of PA participation level, self-esteem, and leadership life skills were utilized in this study. Those data were analyzed by one-way ANOVA and bivariate correlation using IBM SPSS and mediation analysis conducted using PROCESS Macro. There was a significant difference in self-esteem and leadership life skills by the PA participation level. The PA participation level was correlated with self-esteem and leadership life skills. Also, self-esteem had a significantly positive effect on leadership life skills. The PA participation level had an indirect effect on the development of leadership life skills in mediating self-esteem. In conclusion, the current study suggests that increasing self-esteem by PA played a crucial role in improving leadership life skills in youth. This implies that PA-based youth leadership programs will contribute positively to improvement of self-esteem and leadership life skills.
Deep Learning for Classifying of White Blood Cancer

Automated classification of cells is an essential but challenging task for computer vision with significant biomedical advantages. Numerous studies have attempted to construct a cell classifier based on artificial intelligence using label-free cellular images obtained from an optical microscope in recent years. While these studies showed promising results, different cell types' biological complexity could not be represented by such classifiers. However, it is well-known that intracellular actin filaments are significantly modified in terms of the malignant cell. This is believed to be closely linked to tumor cells' distinctive growth characteristics, their tendency to invade tissues around them, and metastasize. It is also more beneficial to identify various cell types based on their biological activities using an automated technique. This paper shows the differentiation between normal White Blood Cells and cancer, which can provide new knowledge on malignant changes and be used as an additional diagnostic marker. Since human eyes can not observe the features, we proposed the application of a convolutional neural network (CNN) based on malignant and normal WBCs classification. The Inception- V3Cnn model was validated on various WBCs normal and malignant cell images on regular normal and blood cancer cell lines with differing aggression levels. The study showed that CNN performed better in accuracy and efficiency than a human expert in the cell classification system
Post-humanity

We call to you with vibrational poetics… This Short will describe an iterative creative project Essays in Vibrational Poetics that addresses post-human audiences. Informed by radical access principles allied to blindness, and consultations with xenolinguists, the collaborative project unfolds by blundering through a series of experimental trials in embodied and inscribed writing, sensorial translation and performative texts. The essay will operate both as an exercise in critical reflection, especially regarding the significance of disability-led practice for engaging with post-human audiences, and an active thinking-by-writing, allowing the narrative to inflect work currently in development.
Developing Audit Manual Design for Audit of Small and Medium-Sized Entities and Applying Data Sharing in Cloud to Increase Audit Efficiency

This study aims to design a special audit manual for small and medium-sized entities (SME) and the application of the cloud in the audit process to improve the efficiency of financial statement audits by small and medium-sized practitioners (SMP).This qualitative research with a case study approach and data collection from documentation, interviews, and direct observation from a public accounting firm in Indonesia.This study develops a simple audit manual design for audit of SME and applying cloud during audit process.Developing manual audit design refers to the guide to using ISAs in the audit SMEs was prepared by International Federation of Accountants (IFAC) and then customize according to Public Accounting Firms needed.The use of the cloud can speed up the audit process through easy data sharing, electronic data archives, and teamwork monitoring.In addition, the scalability of using the cloud can help SMPs increase their productivity, especially during the current pandemic.The research uses a single case study approach due to limited access to key information.The scope of the audit manual design is only at the risk assessment stage.Applying cloud in the audit process only uses the free features of the service provider.The results of the study helped SMPs to implement a simple audit manual and use the cloud to increase the audit efficiency of SME.This study pays high and specific attention to the audit of SME.The majority of the audit research studies concentrate on the big audit firm practices.
Dynamic simulation of outrigger load during leveling process of special vehicle

In the force analysis of special vehicle leveling system, usually only the force change of leveling leg in the leveling process is analyzed, but the force analysis of leveling leg in the ultimate condition is less.Therefore, the mathematical model of force variation of special vehicle leveling leg was constructed, and the ultimate condition of force variation of special vehicle leveling leg was simulated by ADAMS software.The results show that the load variation of special vehicle leveling leg under the limit condition matches with the mathematical model, which can be used as the theoretical basis for the boundary condition of special vehicle leveling leg design.
ExQuestions: An Expanded Factual Corpus for Question Answering over Knowledge Graphs

Providing intuitive access to Knowledge Graphs (KG) has been a prominent area of research in recent years. In particular, several Question Answering (QA) approaches have been developed to support queries over KGs using natural language. QA systems allow non-technical users to access information in KGs, thus dispensing the need to learn the graph schema and query languages. Despite the significant evolution of QA methods over the past years, challenges remain due to the differences between unstructured natural language and structured data stored in KGs, such as semantic variability. Specifically, existing QA datasets lack semantic variability for the question-query pairs to the best of our knowledge. In addition, many approaches used in QA systems require large datasets for a preprocessing or training step, but only a few specific datasets are publicly available. This paper presents ExQuestions, a question-answering dataset with multiple paraphrased questions using common-sense knowledge over knowledge graphs (KGQA). ExQuestions <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> https://zenodo.org/record/4947611#.YMeo6KhKjIU contains 128,000 question-answer pairs with questions in natural language, questions in natural language paraphrased, questions in natural language with type, SPARQL, and templates for each question. We complement the dataset to illustrate the advantage of having multiple paraphrased questions. The ExQuestions dataset is publicly available on a persistent URI for broader usage and adaptation in the research community.
Computing Performance: Past, Present, and Future

The dramatic increase in computer performance has been extraordinary, but not for all computations: it has key limits and structure. Software architects, developers, and even data scientists need to understand how exploit the fundamental structure of computer performance to harness it for future applications. Ideal for upper level undergraduates, Computer Architecture for Scientists covers four key pillars of computer performance and imparts a high-level basis for reasoning with and understanding these concepts: Small is fast – how size scaling drives performance; Implicit parallelism – how a sequential program can be executed faster with parallelism; Dynamic locality – skirting physical limits, by arranging data in a smaller space; Parallelism – increasing performance with teams of workers. These principles and models provide approachable high-level insights and quantitative modelling without distracting low-level detail. Finally, the text covers the GPU and machine-learning accelerators that have become increasingly important for mainstream applications.
Gradient Methods Using Momentum

This chapter describes methods based on gradient information that achieve faster rates than basic algorithms such as those described in Chapter 3. These accelerated gradient methods, most notably the heavy-ball method and Nesterov’s optimal method, use the concept of momentum which means that each step combines information from recent gradient values but also earlier steps. These methods are described and analyzed using an analysis based on Lyapunov functions. The cases of convex and strongly convex functions are analyzed separately. We motivate these methods using continuous-time limits, which link gradient methods to dynamical systems described by differential equations. We mention also the conjugate gradient method, which was developed separately from the other method but which also makes use of momentum. Finally, we discuss the concept of lower bounds on algorithmic complexity, introducing a function on which no method based on gradients can attain convergence faster than a certain given rate.
ESG Management with Artificial Intelligence : Improving Human Health and Worker Safety

코로나 19 확산의 장기화로 인공지능을 비롯한 디지털 기술로의 전환이 가속화되는 가운데 신기술이 근로자의 안전과 인류의 건강을 향상할 수 있는 4차 산업혁명 시대로 빠르게 나아가고 있다. 이와 동시에 팬데믹 기간동안 지속가능성과 ESG는 기업 경영에서 핵심요소로 급부상했다는 점을 고려했을 때, 비즈니스의 관점에서 디지털과 인공지능 기술을 사용해서 사회적 가치를 달성하는 중요성을 이해할 필요가 있다. 본 논문은 ESG의 요소 중 S(사회)에 초점을 맞추고 여러 사회문제 가운데 근로자의 안전과 인류의 건강 증진이라는 비즈니스 목표와 사회적 가치를 결합한 두 가지 사례를 발굴했다. 인공지능 기술을 활용한 의미 있는 사회적 가치를 달성하는 것을 목표로 한 두 기업의 사례를 통해 미래의 경영인과 비즈니스 연구자들은 인공지능 기술을 접목해서 생산성을 높이고 성공적인 ESG 경영을 실현하는 방법을 이해하는 데 도움이 될 것이다.The transition to digital and artificial intelligence technologies have accelerated during the COVID-19 pandemic, and we are quickly moving into the era of the 4th industrial revolution where new technologies can improve human health and worker safety for the better. Sustainability and ESG have emerged as key business philosophy that guides corporate management during pandemic and it is imperative that business understands the importance of achieving higher social value using digital and artificial technologies. This article focuses on the social aspect among the elements of ESG management and introduce two managerial cases which combine business goals and social values, particularly, improving worker safety (i.e., Intenseeye) and human health (i.e., Videa Health). A careful examination of the two companies which have adopted the goal of achieving meaningful social values using artificial intelligence technology can help future managers and business researchers understand how they can incorporate AI technologies to be more productive and successful when implementing ESG management.
Geophysical Studies of Wells in the Settlements of Konoplyanka 1 and Konoplyanka 2 (Bronze Age)

In the South Urals, numerous wells have been found inside dwellings in settlements of the Bronze Age. These features are of great interest, not only because of the artifacts found inside the wells, but also as the first hydrotechnical structures within the territory of northern Eurasia. Geophysical studies were carried out over the area of two Bronze Age settlements: the fortified settlement of Konoplyanka and the unfortified settlement of Konoplyanka 2. A gradient magnetic survey was carried out and settlement plans reconstructed, which formed the basis for the selection of sites for the archaeological excavations. Comparison of geophysical and archaeological results showed that, using magnetic maps, it was possible to accurately reconstruct the plans of ancient settlements and localize the positions of wells. At the excavation site of the settlement of Konoplyanka 1, as a result of the magnetic susceptibility survey, it was established that the edges of the wells were reinforced with a special soil that has higher magnetic properties than the subsoils present. At the excavation site at the settlement of Konoplyanka 2, ground penetrating radar (GPR) prospection of the four wells was carried out, the depth and structural features of these wells being determined. Excavations at two of the wells confirmed the results of the geophysical studies.
На път към креативната педагогика: методология и някои особености на образователните практики в Русия и България

The article examines some methodological foundations of the modern creative practices in education and upbringing. The role of properly organized interaction between a teacher and students, achieving their synergy and co-creation, is demonstrated. The developed system and holistic approach to creative learning allows us to find ways to awaken the abilities of students in the joint activities of a teacher and students. Creative approaches in some educational practices in Russia and Bulgaria are considered as case studies.
IAG Membership Information

Geostandards and Geoanalytical ResearchVolume 46, Issue 1 p. 135-135 IAG Membership InformationFree Access IAG Membership Information First published: 15 March 2022 https://doi.org/10.1111/ggr.12387AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume46, Issue1March 2022Pages 135-135 RelatedInformation
A deep locality-sensitive hashing approach for achieving optimal ‎image retrieval satisfaction

&lt;span&gt;Efficient methods that enable high and rapid image retrieval are continuously needed, especially with the large mass of images that are generated from different sectors and domains like business, communication media, and entertainment. Recently, deep neural networks are extensively proved higher-performing models compared to other traditional models. Besides, combining hashing methods with a deep learning architecture improves the image retrieval time and accuracy. In this paper, we propose a novel image retrieval method that employs locality-sensitive hashing with convolutional neural networks (CNN) to extract different types of features from different model layers. The aim of this hybrid framework is focusing on both the high-level information that provides semantic content and the low-level information that provides visual content of the images. Hash tables are constructed from the extracted features and trained to achieve fast image retrieval. To verify the effectiveness of the proposed framework, a variety of experiments and computational performance analysis are carried out on the CIFRA-10 and NUS-WIDE datasets. The experimental results show that the proposed method surpasses most existing hash-based image retrieval methods.&lt;/span&gt;
Effects of Learning Media and Motivation Towards Students' Reading Ability

Dody Wahyudi Purnama, The Effects of Learning Media and Motivation toward the Students’ Reading Ability at Private Colleges in Subang Regency. The aim of the research is to know the effects of learning media and motivation towards students’ reading ability at private colleges in Subang regency. The total sample constitutes 50 students. The technique of collecting data used questionnaires and reading test by multiple choice with 20-item instrument. The methodology used is experiment research to know the effects of independent variables towards dependent variable. The statistic test used descriptive statistics and Tukey comparisons. The findings are 1). There is significant effects of learning media towards students’ reading ability at private collages in Subang regency, proved by the significance 0.000&lt;0.05 and Fo = 102,914. The average of the students’ reading ability with high motivation is greater than that of with low motivation. The mean of the experiment class equals 81.42 and conventional class equals to 68.76. 2). There is effect of motivation towards students’ reading ability at private collages in Subang regency, and proved by the value of sig 0.000&lt; 0.05. and Fo = 14,671. The total motivation is 77.48 for high motivation students, and 72.70 for low motivation students. 3) there is effect of learning media and motivation towards the students’ reading abilty, proved by the value of sig 0.005&lt;0.05 and Fo=8,230.&#x0D;
Cryptographic Theory and Decentralized Finance

Cryptocurrency markets are unregulated, and increasingly popular, places for ordinary investors to conduct transactions, not unlike the early Wild West of the First Era discussed in Chapter One. This Chapter explores the historical origins of cryptography and its application in the digital sphere. It begins with the Cypherpunk movement against traditional institutions and their demands for transactional privacy, which led the elusive Satoshi Nakamoto to introduce a viable alternative to traditional market transaction platforms in the form of Bitcoin, a cryptocorrency powered by blockchain technology. Blockchain transaction sequences, while anonymous or, more accurately, “pseudonymous,” are self-regulated system that allow users to transact without trusting each other and without having a trusted third-party intermediary. This novel technology ultimately led to the incredible success of Bitcoin currency, which dominates the cryptocurrency market today. Undeniably, Blockchain technologies are reshaping the financial landscape, but their implications extend far beyond the financial sector alone.
A New Laser Printer [From the Screen of Stone]

A new laser printer, a case for your cell phone, protective glass for your cell phone’s screen, the next generation of Logitech’s wireless mouse, and a loss of connectivity for older Kindle electronic readers are the topics of this column.
Complex Algorithms

This chapter details many of the fundamental quantum algorithms with full mathematical derivations and code. It discusses the quantum Fourier transform (QFT), arithmetic in the Fourier domain quantum phase estimation,Shor’s famous factorization algorithm and its quantum order-finding component, Grover’s search algorithm, amplitude amplification, and quantum counting, as well as quantum random walks.
On the transport and fate of heavy metals in calcareous soils &amp;#8211; a spectral induced polarization study&amp;#160;

&amp;lt;p&amp;gt;The fate and transport of heavy metals in the soil have been intensively studied over the last decades due to its implications on public health and the environment. The mobility of heavy metals in the soil depends on the surface characteristics of the soil minerals and other solid components such as organic matter, the pore water pH and its composition, among others. Specifically, in calcareous soils, the introduction of heavy metals has been shown to induce dissolution of the calcite and formation of metal-based carbonate minerals. The study of such processes traditionally involves intensive sample collection and chemical analysis of multiple species. In this study, we use spectral induced polarization (SIP) to in-situ monitor the transport three heavy metals (Pb, Zn and Cu) through soil that contain calcite to different extents. In SIP, an alternating current in wide range of frequencies is injected, and the phase and amplitude difference between the injected and induced potential are measured and translated into a complex conductivity spectrum. These measurements are sensitive to both pore water characteristics and to surface processes. Our experimental setup involves flow-through columns packed with different types of soil, through which the inflow solution is passed. Electrical potentials are recorded at three locations along the column. The analyzed SIP measurements allow not only non-invasive, non-destructive monitoring of the metal progression through the soil but also deduction of its fate through combination with elemental analysis. &amp;amp;#160;The results show that both the real and the imaginary components of the complex conductivity are sensitive to the minerals&amp;amp;#8217; dissolution/precipitation. The conductivity values at the peak polarization frequency over time depict the progression of the dissolution/precipitation &amp;amp;#8216;front&amp;amp;#8217; along the soil profile.&amp;lt;/p&amp;gt;
Influence Of Accounting Understanding and Internal Control On The Quality Of Financial Statements

This study aims to examine the effect of understanding accounting and internal control on the quality of financial statements. The data in this study were obtained from business actors, namely the owners of stands at Karebosi Link Makassar City who were the respondents. This study uses primary data obtained directly from original sources not through intermediaries and collected by researchers to answer research questions by giving questionnaires to 39 respondents. The sampling method in this study used the purposive sampling method, namely the technique of determining the sample with certain criteria or considerations. Test the validity and reliability of the data to determine whether the indicators of the questionnaire are valid and reliable. The data analysis method used is multiple regression analysis, coefficient of determination test (r2) and simultaneous test (f). The results of this study indicate that partially and simultaneously Accounting Understanding has a positive and significant influence on the Quality of Financial Statements survey on stand owners at Karebosi Link Makassar and partially and simultaneously Internal Control has a positive and significant influence on the Quality of Financial Statements survey on stand owners at Karebosi Link. Makassar.&#x0D; &#x0D; Keywords: Understanding of Accounting; Internal Control; Quality of Financial Statements