Reviewerly/exHarmony huggingface dataset:
How to curate and exhibit various types of physical samples using FAIR principles

In a modern research environment, physical samples are often treated as a burden, to be stored and forgotten but when their existence is digitalised and connected to the underlying metadata it becomes a great resource for present and future generations of researchers. This value is further expanded if the information is easily accessible for the research community, particular by offering intelligent search options, interconnection, extraction of data files etc.GEOMAR Helmholtz Centre for Ocean Research has accumulated thousands of biological and geological samples, collected mainly during marine expeditions but also from time series and experiments. Samples date back as far as 1964. Today, the biological collection comprises roughly 180.000 samples (mainly fish and plankton) in formaldehyde as well as a large amount of cryofrozen materials. The core and rock repository holds a collection of about 4000 sediment cores totaling 30.000 core sections and more than 5000 boxes with hard rock samples and refined sample specimens. We have set ourselves the task to curate all these materials and connect them with sufficient metadata in order to make them searchable and, more importantly, findable.The Ocean Science Information System at GEOMAR (OSIS) joins all kind of data resulting from the institute's sea-going expeditions and land-based projects. It is designed for data exchange in the context of these expeditions and experiments, and during a research project's moratorium it supports scientists in documenting provenance of their research data and ultimately their publication. OSIS also serves as a hub for detailed information, metadata and references to peer-review journal publications. The metadata in OSIS are publicly accessible and the system is interlinked to the institutional repository OceanRep as well as several other data archives and databases. It will act as a first entry point for scientists to identify samples by their metadata even before contacting the appropriate curator to inquire sample accessibility and conditions. In context with the physical specimens, OSIS provides linkage to more specific sample databases. Currently we connect biological samples collected on a research vessel via the expedition metadata to their current storage locations on land, which will be further refined to connecting single ship-based sampling stations with the storage position of individual samples. Moreover, for geological samples (sediment cores) metadata from OSIS are made available for further in-house use by the software CurationDIS from smartcube GmbH. The sediment core specific details are managed by the curation software which is also used to provide a persistent identifier (IGSN). Future plans include connecting rock samples in a similar structure as sediment cores.
Exploring the opinions of people on GST tweets from different cities.

Now a day’s people are extensively using the social networking apps such as twitter, face book, etc to give their views or thoughts on anything and everything. Examining on these opinions is the major research trend, this work will help to realize the people views, opinions and this study will help to go further decisions. For examining or exploring the the opinions, techniques like NLP and ML is used to differentiate between the emotions such as positive, negative and neutral opinions. It is very tedious task to read the input text data given by the user in social media applications. Here proposed a novel bounded logistic regression with the GST data sets taken from different cities of India. Results of the approached technique give the good accuracy.
Classification of Medical Symptoms Based on Social Sensors

Due to the high degree of classification of the current hospital departments, it is difficult for patients to accurately select hospital departments for registration based on their limited medical knowledge and physical illness status. With the development of technologies such as the Internet, big data, and artificial intelligence, we have ideas and methods to solve this problem. This article treats users on the Internet as social sensors. Users spontaneously generate massive medical data on medical Web sites, medical symptom libraries, and medical professional e-books. These data provide a way to solve the lack of medical knowledge when patients seek medical treatment. Due to the sparsity and lack of information in the short text data of the symptoms, the LDA-Naïve Bayes (L-NB) model is used to expand the features and classify the text of “symptoms–departments”. Through a lot of experiments, the algorithm proposed in this paper has high accuracy and can meet the needs of practical applications.
Investigations using open source intelligence (OSINT)

Open source intelligence is collecting data from any public source. This is a must have skill for any investigator. This chapter details research tools, search engines, sites for various information, contracting for information, metasearch engines, ways to use Google, and social network sites, browsing anonymously, using the dark web and privacy legislation. Included are many valuable sites for free public source information.
Action-Based Programming with YAGI - An Update on Usability and Performance

YAGI is a declarative and procedural programming language based on Situation Calculus and Golog. The language allows the user to model a target domain as a set of actions and fluents, as well as an imperative control program or as a planning problem. YAGI was designed to broaden the use of action-based programming. The work presented in this paper starts with an existing realization of YAGI, which has major drawbacks such as low performance or a limited syntax. We redesigned the language syntax, added new data types and implemented a new, more efficient interpreter with an improved knowledge representation. Moreover, we evaluated our implementation using an example domain and showed that it performs several magnitudes better than the previous YAGI version regarding runtime and solution quality.
Cashless Policy and Consumer Protection: A Critical Appraisal of the Nigerian Cyber Laws

This article in discussing the transitioning of Nigeria to a cashless economy, considers the regulatory framework in place to protect consumers from cybercrimes that surfaced with the policy.A critical appraisal of the existing cyber laws in Nigeria showed consumers have been left in the loop, whilst the law has failed to effectively protect bank consumers from the onslaught of cybercrimes which accompanied the cashless policy.An analysis of the consumer protection framework especially those issued by the Central Bank of Nigeria revealed inadequate protective mechanism for consumers whilst the required standard for compliance by banks has been evasive.Amongst the recommendations given is the need to specify the standards required for banks for effective consumer protection while a specified body should be created to ensure strict compliance.This article concludes by emphasizing that even though a cashless economy is of immense benefit, there is need for banks to put appropriate infrastructures in place that will shield its consumers from cybercrimes and enhance consumer confidence in financial institutions generally.
The effect of holistic-focus of attention on the Korean dance ’Jaban-ttwigi’

The purpose of this study is to verify that the effects of the holistic-focus of attention on the movement of the “Jaban-ttwigi”, a body control task, for Korean dance. This study was conducted on 30 Korean dance experts (21.17 years old) who were over 9.7(± 1.22) years, and were randomly assigned to internal focus, external focus, and holistic-focus of attention. Experiments were performed by performing pre-test and treatment experiments by using the ‘Jaban-ttwigi’, and collected video data. Interactions between groups by time point appeared, and there was no difference according to the attentional focus condition in the pre-test, but in the treatment experiment, the holistic-focus of attention condition showed the highest evaluation score of motion compared to the internal focus condition. However, there was no significant difference from the external focus condition, and the external focus condition showed low volatility in performance at the pre-treatment-post stage. The results of this study confirm that the suggestion of internal focus is not effective for the experts, and the external focus is considered to be the most similar to the existing performance strategy. It is noteworthy that the holistic-focus of attention can be a more effective attention guideline than the external attention focus in body control tasks such as dancing, and these results need to be verified under longer-term practice conditions.
KEMAMPUAN MENDESKRIPSIKAN MEDIA AUDIO VISUAL MENJADI TEKS EKSPLANASI SISWA KELAS VIII SMP NEGERI 11 KOTA BENGKULU

The purpose of this study was to describe the ability to write through audio-visual media into an explanatory text in class VIII students of SMP Negeri 11 Kota Bengkulu. The method used in this research is descriptive method with quantitative approach. This research was conducted at SMP Negeri 11 Kota Bengkulu. The technique used in this data collection is a test. Data analysis techniques used are descriptive analysis with a simple quantitative approach, data presentation, and conclusion drawing. The results showed that the ability to describe audio-visual media into explanatory text in class VIII students of SMP Negeri 11 Kota Bengkulu in general gained an average of 77,85 or the criteria for the ability to describe audio visual media into explanatory text in class VIII students of SMP Negeri 11 Kota Bengkulu was good. The ability to describe audio-visual media into explanatory text in class VIII students of SMP Negeri 11 Kota Bengkulu specifically from the content aspect gained an average of 17,9 with very good criteria, the sentence aspect gained an average of 24 with good criteria, the sentence aspect gained an average of 14,7 with good criteria, aspects of diction gained an average of 14,32 with good criteria, and spelling gained an average of 7,08 with good criteria .
The construction of university information management system based on Cloud Computing

Management information system; Cloud computing; Hybrid cloud
Research on Application of Data Visualization in the Context of the Era of Big Data

In the era of big data, information technology develops rapidly and information grows at a geometric rate. As a result, how to deal with and utilize information has become a problem to be solved in various industries. This paper analyzes the principles and potential problems of visualization, describes necessary understanding of the development of visualization under the background of big data, and puts forward the methods and misunderstandings that need to be paid attention to in the design display process. By combining the conclusion, it is found that visualization is a product of multi-party integration, which can be used as the main means to excavate the value of data itself.
Simulasi Algoritma Monte Carlo Dalam Memprediksi Tingkat Hafalan Al-Qur’an Santri

Islamic boarding schools are known to be able to give birth to the Qur'an's tahfidz. With the memorization program, the halaqah about the basic text of the religion makes the Islamic boarding schools increasingly known to the community as an educational institution and a strong milestone of religious knowledge that can bring blessings. The purpose of this study was to predict the level of rote learning of the students at the Tahfiz Lan Tabur Pagaralam Islamic Boarding School. Thus, it is easier for Islamic boarding schools to take strategies to improve the quality of students themselves. The data processed in this study are data sourced from the Natural Boarding School of Tahfiz Al-Qur’an Lan Tabur Pagaralam. Based on the number of students who memorized the Al-Qur'an or Tahfidz in the 2017 to 2019 class which is processed by Monte Carlo algorithm simulation. The processing step is to bring up a random number from the sampling data that has been taken. The results of testing on this method found that the system used to predict the level of memorization of the Al-Qur'an with an average accuracy of 84% in 2018 and an average accuracy of 88% in 2019. With a high degree of accuracy, simulations performed using the Monte Carlo algorithm can predict the number of students memorized by the Qur'an, making it easier for Islamic boarding schools to obtain information about the likelihood of future events at the level of memorization of students at Islamic boarding schools Alam Tahfiz Al-Qur’an Lan Tabur Pagaralam.
Research on the application of computer in thermal teaching

Velocity distribution; Molecular rays; Carnot cycle
Classification and Analysis Topologies Known Artificial Neurons and Neural Networks

Development and application of artificial neural networks (ANN) based on advanced technologies is one of the priority areas of science and technology in all industrialized countries.
Penerapan Pendekatan Cooperative Learning Tipe Jigsaw dalam Upaya Meningkatkan Aktivitas dan Hasil Belajar Peserta Didik Kelas I SD Negeri 27 Ampenan

This study aims to determine the effectiveness of the application of the Jigsaw cooperative learning approach in an effort to improve the activities and learning outcomes of grade 1 students at SD Negeri 27 Ampenan. The benefits of this research are to improve teacher competence in the learning process and to increase student learning activities and outcomes. This research was conducted using a classroom action research method conducted in class I 27 Ampenan Elementary School Semester Two Academic Year 2017/2018, with a total of 37 students. The final results of the action in the second cycle showed that the results of teacher observation obtained an average score (4.57) and the results of student observations achieved an average score (4.51). While student learning outcomes are achieving an average value (82.51), meaning that the indicators of success (> 75.00) have been exceeded. Because the indicators of success have been proven, the research was declared successful and stopped in the second cycle.
Cartas de arquivo: um projeto de mediação cultural nos 180 anos do Arquivo Nacional

The article aims to present and discuss Cartas de Arquivo, a successful project of cultural mediation in Arquivo Nacional, launched in commemoration of the institution's 180 years in 2018. The iniciative executed, monthly, a short-video with the dramatized reading of a letter belonging to the institution’s private textual collection.Keywords: letters; private archives; cultural mediation; Arquivo Nacional.
Technical Perspective of Concurrent Prefix Recovery

Where do novel database system research results come from? In the 1970's, most systems research papers proposed mechanisms to support abstractions that were being explored for the first time, such as data translation, indexing, query optimization, high performance transactions, distributed databases, heterogeneous databases, and replicated databases. Novelty was easy to come by. These abstractions now form the core of the database systems field.
Blockchain in the KYC Process – An Appropriate Corporate Treasury Use Case?

This article deals with the appropriateness of the blockchain technology to improve existing KYC procedures, which are often described as lengthy, costly and cumbersome. Moreover, similar identification processes need to be carried out repeatedly for several institutions, which creates considerable inefficiencies and avoidable costs. The use of a blockchain design with smart contracts offers the possibility to avoid redundant workflows and entails several benefits such as enhanced security, trust and flexibility. This illustrates that the blockchain technology, which is still in a maturing phase, has the potential to play an important role in streamlining and (to some extent) automating current KYC processes. In terms of security, trustworthiness or customer satisfaction, the technology may offer game changing opportunities (not only) in the realm of authenticated user identification or digital identity management.
Compressing and Interpreting SOM-Based Convolutional Neural Networks

The present paper aims to propose a new type of interpretation method by model compression to deal with complex multi-layered neural networks. For illustration, we use here a new type of learning method with self-organizing maps (SOM) accompanied by convolutional neural networks (CNN) and controlled selectivity to choose important connection weights. Naturally, we face much difficulty in interpreting the SOM with CNN due to complicated feature extraction procedures. A new type of model compression is introduced, where the convolutional parts are black-boxed to make the model compression easier. We applied the new method to the wireless localization data set. The results showed that improved generalization performance was obtained by the extraction of features of four classes by the SOM. In addition, the model compression method made it possible to extract linear relations between inputs and outputs.
Социальное будущее и перспективы технического развития: ключевые вопросы философского дискурса

The focus of this article is the resort to the socio-anthropological foundations of technological development. Over the 20th century, that issue was being solved by the philosophy of technology, and above all by its anthropological direction (the moral, ethical and cultural studies of technology, the humanistic and value aspects of technology). Currently, technology is developing so rapidly, and this development is even more initiated by representatives of the engineering and computer sciences, which makes philosophical thought more and more urgent addressing the most important anthropological and social issues that arise during the growing technological convergence, and this cannot be limited by expressing anxiety and warnings of risks and implications. Today, mass culture products that offer a field for reflection (cinema, game studies) are associated with technology; they also require consideration and evaluation of philosophers. Current issue of philosophical research is an adequate interpretation of processes, events, consequences and prospects of technical development in the context of the globalization processes, finalization and radical transformation of the main spheres of society and human activities.
HOW SERVANT LEADERSHIP AFFECT THE ORGANIZATIONAL TRUST WITH MEDIATING ROLE OF TECHNOLOGICAL INNOVATION?

The main objective of this paper is to investigate how servant leadership affects organizational trust with the mediating role of technological innovation. In this paper we discussed that technological innovation played a vigorous role in all types of organizations and leadership having the qualities of a servant also played a vital role in achieving the trust because trust is the most crucial element for an organization. A descriptive cross-sectional survey design was used in conducting the study. The data for this study was taken from public and private organizations that are engaged in providing products and services to their customers. 370 questionnaires were distributed among different respondents. 310 useable respondents were selected and the questionnaire includes close-ended questions related to leaders, organization and technological factors. Cross-sectional quantitative research design was adopted. The purposive sampling technique was used for this study. Findings of this study shows that the mediating the variable "technological innovation" strengthens the affiliation among autonomous "servant leadership" and "organizational trust" dedicated to their work, and this is so beneficial to the organisation.Implications based on these finding, the study enticement the attention of mangers concerning the role of Servant Leadership, trust in the organization and flourishing the employee creativity with the help of technological innovation. This study suggests that servant leadership is an important factor that influences organizational trust because trust is the most crucial component and technological innovation with servant leadership qualities emerged to achieve trust. Keywords: Servant Leadership, Technological Innovation, Organizational Trust. JEL Classifications: M1, 03, M0 DOI: https://doi.org/10.32479/irmm.10183
Digital Forensics and the Big Data Deluge — Some Concerns Based on Ramsey Theory

Constructions of science that slowly change over time are deemed to be the basis of the reliability with which scientific knowledge is regarded. A potential paradigm shift based on big data is looming – many researchers believe that massive volumes of data have enough substance to capture knowledge without the theories needed in earlier epochs. Patterns in big data are deemed to be sufficient to make predictions about the future, as well as about the past as a form of understanding. This chapter uses an argument developed by Calude and Longo [6] to critically examine the belief system of the proponents of data-driven knowledge, especially as it applies to digital forensic science. From Ramsey theory it follows that, if data is large enough, knowledge is imbued in the domain represented by the data purely based on the size of the data. The chapter concludes that it is generally impossible to distinguish between true domain knowledge and knowledge inferred from spurious patterns that must exist purely as a function of data size. In addition, what is deemed a significant pattern may be refuted by a pattern that has yet to be found. Hence, evidence based on patterns found in big data is tenuous at best. Digital forensics should therefore proceed with caution if it wants to embrace big data and the paradigms that evolve from and around big data.
Spirituality and morality in the practice of teachers

Context: Scientific research on moral development in education has gained ground in the wheels of debates and research
Identify Prospects Using Excel and Your Own Data

The Major Gifts ReportVolume 22, Issue 10 p. 8-8 Prospect Identification Identify Prospects Using Excel and Your Own Data Thomas Schroeder, Thomas SchroederSearch for more papers by this author Thomas Schroeder, Thomas SchroederSearch for more papers by this author First published: 03 September 2020 https://doi.org/10.1002/mgr.31580Read the full textAboutPDF 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 onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume22, Issue10October 2020Pages 8-8 RelatedInformation
The Constructor’s Guide to Blockchains

In the last few chapters, we have studied some of the mathematical concepts of cryptography which are pertinent to blockchains and cryptocurrencies. Now that we have all of this arcane theory in our heads, we are now ready to move to the heart of the matter, the construction of blockchain and cryptocurrency applications.