Reviewerly/exHarmony huggingface dataset:
An innovative approach for risk assessment in archaeology based on machine learning. A Swiss case study. Quantitative approaches, spatial statistics and socioecological modelling

In a world that is more and more complex and full of artificial, we strike to master the changes which continuously affect every single domain of our reality and especially challenge human intelligence and cognitive capacities. The study of artificial intelligence (AI) is being exhibited as a core strategy to meet growing demands of science and applications, to solve complex problems in various areas such as environmental science, finance, health-sector, etc. Machine learning (ML) is as a subfield of AI, mainly concerned with the development of techniques and algorithms that allow computers to learn from data. In an innovative way, this work intends to survey and demonstrate the effectiveness of bringing together traditional archaeological questions, such as the analysis of settlement patterns and past human behavior, with cutting edge technologies related to Machine Learning. Computations were carried out using R free software environment for statistical computing and graphics; data pre- and post-processing was performed in a GIS (Geographical Information System) environment. We provide a data-driven basis example of archaeological predictive modeling (APM) for the Canton of Zurich, Switzerland. Namely, a dataset of known archaeological sites of the Roman period was considered. The APM represents an automated decision making and probabilistic reasoning tool, relevant for archaeological risk assessment and cultural heritage management. We adopted Random Forest (RF) (Breiman, 2001), an ensemble ML algorithm based on decision trees. The model is capable of learning from data and make predictions starting from the acquired knowledge through the modelling of the hidden relationships between a set of input (i.e. geo-environmental features prone to influence site locations) and output variables (i.e. the archeological sites).As result, we obtained: 1) a ranking of geo-environmental features influencing the archeological site occurrence; 2) a map of probability expressing the likelihood of archaeological site presence, at different locations in a given landscape. These outputs become important not only to verify the reliability of the data, but also to stimulate experts in different ways: they are elicited to characterize the benefits and constraints of using such techniques and ultimately to think big about archaeological data.
Bibliometrics analysis of the present situation of quality evaluation of professional degree postgraduates in China

ObjectiveTo analyze the relevant literature of the research on the evaluation of the training quality of professional degree postgraduates in China, explore the current situation and development trend of the research, and provide a reference for the research on the evaluation system of the training quality of nursing professional degree postgraduates.MethodsThe documents related to the quality evaluation of professional degree postgraduate training included in CNKI, VIP and Wanfang academic journal database were retrieved. The retrieval time limit was from the establishment of each database to 12nd May, 2019. This paper analyzed the annual change, regional distribution, periodical distribution and research methods of literature.ResultsA total of 106 related literatures were included. The number of literatures was increasing year by year. Totally 90.91% of the authors came from schools, and only 39.62% of the literatures were monographs. Most of the research methods used were analytic hierarchy process, and the clinical medicine specialty paid more attention to the related research.ConclusionsThe research on the quality evaluation of professional degree postgraduate training in China has been carried out gradually. It is urgent to build a scientific and unified quality evaluation system focusing on the characteristics of nursing specialty, ensuring the internal and external quality.Key words: Bibliometrics; Professional degree; Postgraduates; Quality evaluation
Algorithms for segmentation and recognition of objects on medical images based on chiarlet transformation and neural networks

The paper considers general approaches to image processing, analysis of visual data and computer vision. The main methods for detecting features and edges associated with these approaches are presented. A brief description of modern edge detection and classification algorithms suitable for isolating and characterizing the type of pathology in the lungs in medical images is also given.
Problems and Prospects of Interdisciplinary Consciousness Studies “Problems of Consciousness: Research Opportunities” Round Table Lomonosov Moscow State University, Moscow, January 28, 2019

In January 2019 the Faculty of Philosophy of the Lomonosov Moscow State University held the round table “Problems of Consciousness: Research Opportunities.” It was dedicated to problems of interdisciplinary studies of consciousness. Many famous Russian specialists whose academic interests include consciousness, brain and mind took part in this event: K.V. Anokhin, D.I. Dubrovsky, T.V. Chernigovskaya, M.A. Piradov, A.A. Potapov, V.Y. Sergin, V.V. Vasil’ev, Z.A. Zorina and others. At the round table, the following problems were discussed: the specificity of consciousness problem, its relevance in various academic disciplines, contemporary research possibilities for consciousness studies to solve the problems that specialists actually face. Much attention was paid to the problems of neurobiology, empirical research of consciousness. Nonetheless, participants showed in their speeches that the problem of consciousness is also a philosophical problem. Hence it requires thoughtful consideration of philosophers. Participants decided that to progress in solving this problem researches from various (not only natural) disciplines have to cooperate.
Social Sciences and Humanities Pathway Towards the European Open Science Cloud

The paper presents a journey, which starts from various social sciences and humanities (SSH) Research Infrastructures in Europe and arrives at the comprehensive “ecosystem of infrastructures”, namely the European Open Science Cloud (EOSC). We will highlight how the SSH Open Science infrastructures contribute to the goal of establishing the EOSC. First, through the example of OPERAS, the European Research Infrastructure for Open Scholarly Communication in the SSH, to see how its services are conceived to be part of the EOSC and to address the communities’ needs. The next two sections highlight collaboration practices between partners in Europe to build the SSH component of the EOSC and a SSH discovery platform, as a service of OPERAS and the EOSC. The last two sections will focus on an implementation network dedicated to SSH data fairification.
Overview of Architecture for Implementation

In this chapter, I will talk about the architecture for implementing a custom library using .NET Core System.IO features.
LibGuides: Best Practices for Remote Learning: Breaking Learning Objectives into Tasks

THis outlines the aviable district provided online learning planning tools (pacing guide, lesson plan template, choice, boards, etc.
PERANCANGAN SISTEM INFORMASI MANAJEMEN BIMBINGAN SKRIPSI BERBASIS WEB DI STIKes CHMK PROGRAM STUDI NERS

WEB-based Thesis Guidance Management Information System is an alternative that can be used by educational institutions or providers to be able to facilitate the lecturer guidance process on the progress of student thesis guidance, as well as facilitate the guidance process between students and lecturers, as well as prior coordinated timeliness. Obtain a database design for a WEB-based Thesis Guidance Management Information System. Provide guidance on the use of WEB-based Thesis Guidance Management Information System for CHMK Student Study Program STIKes. The method used in the discussion of this thesis is the TAS (Total Architure System) method which in the design of the system uses Hardware namely Toshiba Laptops, and the Software used includes the XXamp, SQL Yog and Sublime Texts. The results of this study are system interfaces that can be used to help with the thesis guidance process that can be accessed by students using a Smartphone or Computer and Laptop. Skrispi Guidance Management Information System provides solutions in terms of online thesis briefing and can also provide targeted planning, and information to students regarding guidance guidance and guidance deadlines.
Improving Students’ Vocabulary Mastery Using The Game Method in SMPN 4 Ketapang

The purpose of this study was to describe the increase in vocabulary of VII A grade students of State Junior High School 4 Ketapang (SMPN 4) Ketapang using the Game method. The form of research was Classroom Action Research (CAR). Data collection techniques used test techniques in the form of written tests. The data collection instrument used a question sheet. Data analysis used interactive model qualitative data analysis (Miles &amp; Huberman), which includes: data reduction, data presentation, and concluding. The results showed that learning with the came method can improve students' vocabulary. In general, the more repetition of students will remember the more vocabulary mastery (the highest increase reached 76.15%) if repetition was only done once in each meeting, as did in Cycle II (the highest increase reached 86.00%). This study concluded that learning with the game method can increase the vocabulary of VIIA grade students in SMPN 4 Ketapang.Keywords: Vocabulary, Game Method, Mastery
Effect of perioperative nursing intervention on patients with acute aortic dissection

ObjectiveThis paper analyzes the effect of perioperative nursing intervention on patients with acute aortic dissection and provides reference for improving the clinical nursing effect.MethodsClinical data of 140 patients with acute aortic dissection admitted to this hospital from June 2014 to June 2017 were studied and were randomly divided into control group (receiving routine nursing intervention) 66 cases and observation group (receiving full nursing intervention) 74 cases.The pain score, depression and anxiety score, blood pressure drop and complication rate before and after intervention were analyzed.ResultsCompared with the control group, the depression scores, anxiety scores and pain scores of patients in the observation group after nursing were significantly decreased, with statistically significant differences(P<0.05). The systolic and diastolic blood pressure in both the control group and the observation group decreased significantly, and the decrease value in the observation group was more significant, with statistically significant difference(P<0.05). The incidence of complications after nursing was 4.5% in the observation group, which was significantly lower than 12.2% in the control group, and the difference was statistically significant(P<0.05).ConclusionPerioperative nursing intervention can effectively relieve the anxiety and pain of patients with acute aortic dissection and reduce the incidence of adverse reactions, which is worthy of clinical promotion.Key words: Perioperative nursing; Acute aortic dissection; Depression and anxiety scale; Pain score; Complications
LibGuides: Cataloging Toolbox for International Government Information: Classification Schemes: General

Cataloging, classification and subject vocabularies used in creating metadata description for International Governmental Organizations.
Translation Inference by Concept Propagation.

This paper describes our contribution to the Third Shared Task on Translation Inference across Dictionaries (TIAD-2020). We describe an approach on translation inference based on symbolic methods, the propagation of concepts over a graph of interconnected dictionaries: Given a mapping from source language words to lexical concepts (e.g., synsets) as a seed, we use bilingual dictionaries to extrapolate a mapping of pivot and target language words to these lexical concepts. Translation inference is then performed by looking up the lexical concept(s) of a source language word and returning the target language word(s) for which these lexical concepts have the respective highest score. We present two instantiations of this system: One using WordNet synsets as concepts, and one using lexical entries (translations) as concepts. With a threshold of 0, the latter configuration is the second among participant systems in terms of F1 score. We also describe additional evaluation experiments on Apertium data, a comparison with an earlier approach based on embedding projection, and an approach for constrained projection that outperforms the TIAD-2020 vanilla system by a large margin.
The ELTE.DH Pilot Corpus - Creating a Handcrafted Gigaword Web Corpus with Metadata.

In this article, we present the method we used to create a middle-sized corpus using targeted web crawling. Our corpus contains news portal articles along with their metadata, that can be useful for diverse audiences, ranging from digital humanists to NLP users. The method presented in this paper applies rule-based components that allow the curation of the text and the metadata content. The curated data can thereon serve as a reference for various tasks and measurements. We designed our workflow to encourage modification and customisation. Our concept can also be applied to other genres of portals by using the discovered patterns in the architecture of the portals. We found that for a systematic creation or extension of a similar corpus, our method provides superior accuracy and ease of use compared to The Wayback Machine, while requiring minimal manpower and computational resources. Reproducing the corpus is possible if changes are introduced to the text-extraction process. The standard TEI format and Schema.org encoded metadata is used for the output format, but we stress that placing the corpus in a digital repository system is recommended in order to be able to define semantic relations between the segments and to add rich annotation.
LibGuides: Cataloging Toolbox for International Government Information: International Monetary Fund

Cataloging, classification and subject vocabularies used in creating metadata description for International Governmental Organizations.
Comparing Classifiers for Universal Steganalysis

Universal Steganalysis rely on extracting higher order statistical features that gets disturbed when hiding the message in a clean image. Due to content adaptive steganographies like HUGO, WOW etc. which embed the data more in textured areas of the image rather than smooth areas by minimizing the distortion of the image itself, first order features are not sufficient to differentiate clean and stego images. Thus, rich models come into picture in which a large number of features are extracted based on higher order noise residuals of clean and stego images. Thus, Universal Steganalyser is essentially a supervised classifier built on high dimensional feature set. To work with such high dimensional features on a large dataset of images is a very challenging task due to curse of dimensionality as well as computationally very expensive. This paper aims at comparing performance of three techniques-Ensemble classifier, Logistic regression and K-Nearest Neighbors on Spatial Rich Model features extracted for benchmarked dataset BOSSbase_1.01, for the better discrimination of clean and stego images.
Application of direct operation skill observation in nurses' operation training for continuous renal replacement therapy

ObjectiveTo explore the effects of direct operation skill observation in nurses' operation training for continuous renal replacement therapy (CRRT) .MethodsTotally 44 nurses who needed to receive CRRT operation training in Peking University First University between January and December 2016 were selected by convenient sampling and divided into the control group (n=21) and the observation group (n=23) according to the random number table. Nurses in the control group were trained using conventional methods, while nurses in the observation group were trained by direct operation skill observation on this basis. The operational performance and satisfaction with training methods were compared between the two groups.ResultsThe machine operation and catheter change scores of the control group were (92.76±3.79) and (92.28±3.45) , respectively, while those of the observation group were (96.32±2.41) and (96.40±2.19) , respectively (P<0.05) . The satisfaction with training methods scored (41.05±1.53) in the control group and (50.35±2.21) in the observation group (t=16.08, P<0.05) .ConclusionsDirect operation skill observation can improve the operation skills of CRRT nurses and enhance their comprehensive competence, which provides a reference for developing formative evaluation methods in clinical nursing training in the future.Key words: In-service training; Continuous renal replacement therapy; Formative evaluation; Direct operation skill observation; Hemopurification
A Mobile Application for Self-Guided Study of Formal Reasoning.

In this work, we introduce AXolotl, a self-study aid designed to guide students through the basics of formal reasoning and term manipulation. Unlike most of the existing study aids for formal reasoning, AXolotl is an Android-based application with a simple touch-based interface. Part of the design goal was to minimize the possibility of user errors which distract from the learning process. Such as typos or inconsistent application of the provided rules. The system includes a zoomable proof viewer which displays the progress made so far and allows for storage of the completed proofs as a JPEG or LaTeX file. The software is available on the google play store and comes with a small library of problems. Additional problems may be opened in AXolotl using a simple input language. Currently, AXolotl supports problems that can be solved using rules which transform a single expression into a set of expressions. This covers educational scenarios found in our first-semester introduction to logic course and helps bridge the gap between propositional and first-order reasoning. Future developments will include rewrite rules which take a set of expressions and return a set of expressions, as well as a quantified first-order extension.
Case 6: Fuji Xerox customer fraud

Investigation reports written by independent attorneys, auditors, accountants, and detectives are interesting for white-collar crime research as described in this chapter. Investigation reports present reconstructions of past events and sequences of events that can open up for insights into motives, opportunities and willingness, which are the three dimensions of the convenience triangle. The theory of convenience suggests that white-collar misconduct and crime occurs when there is a financial motive benefitting the individual or the organization, an organizational opportunity to commit and conceal crime, and a personal willingness for deviant behavior. The case study in this chapter is concerned with a report of investigation into the aggressive sales methods and inappropriate accounting practices at Fuji Xerox in New Zealand. Evidence of all three dimensions in the convenience triangle can be found in the report and is presented in this chapter.
Common-Knowledge Concept Recognition for SEVA.

We build a common-knowledge concept recognition system for a Systems Engineer's Virtual Assistant (SEVA) which can be used for downstream tasks such as relation extraction, knowledge graph construction, and question-answering. The problem is formulated as a token classification task similar to named entity extraction. With the help of a domain expert and text processing methods, we construct a dataset annotated at the word-level by carefully defining a labelling scheme to train a sequence model to recognize systems engineering concepts. We use a pre-trained language model and fine-tune it with the labeled dataset of concepts. In addition, we also create some essential datasets for information such as abbreviations and definitions from the systems engineering domain. Finally, we construct a simple knowledge graph using these extracted concepts along with some hyponym relations.
Need-to-Know Details About Virtual CISOs | I.S. Partners, LLC

vCISOs are a popular solution to the labor shortage, advanced skills required, and cost of a full-time chief information security officer.
Variants of Vector Space Reductions for Predicting the Compositionality of English Noun Compounds

Predicting the degree of compositionality of noun compounds is a crucial ingredient for lexicography and NLP applications, to know whether the compound should be treated as a whole, or through its constituents. Computational approaches for an automatic prediction typically represent compounds and their constituents within a vector space to have a numeric relatedness measure for the words. This paper provides a systematic evaluation of using different vector-space reduction variants for the prediction. We demonstrate that Word2vec and nouns-only dimensionality reductions are the most successful and stable vector space reduction variants for our task.
Bayes Theorem and its Recent Applications

Individuals who have studied maths to a specific level have come across Bayes’ Theorem or Bayes Formula. Bayes’ Theorem has many applications in areas such as mathematics, medicine, finance, engineering and many other. This paper covers Bayes’ Theorem at a basic level and looks at some of the history of this theorem as well as how the formula was derived. We also, look at some extended forms of the formula and give an explicit example. Lastly, we discuss recent applications of Bayes’ Theorem in valuating depression and predicting water quality conditions. We have chosen this topic for an exposition paper as it is an interesting topic in mathematics and our goal was to explain it in simple words for everyone to understand.
Design and evaluation of a smartphone keyboard for Plains Cree syllabics

Plains Cree is a less-resourced language in Canada. To promote its usage online, we describe previous keyboard layouts for typing Plains Cree syllabics on smartphones. We describe our own solution whose development was guided by ergonomics research and corpus statistics. We then describe a case study in which three participants used a previous layout and our own, and we collected quantitative and qualitative data. We conclude that, despite observing accuracy improvements in user testing, introducing a brand new paradigm for typing Plains Cree syllabics may not be ideal for the community.
Advantages and disadvantages of two different connection modes of hemodialysis combined with hemoperfusion

ObjectiveTo explore the advantages and disadvantages of series and paraltel connection modes of hemodialysis combined with hemoperfusion.MethodsA total of 104 cases of hemodialysis patients were treated by self control, and the time consumption, heat source reaction, extracorporeal circulation and occupational exposure risk of nurses were compared between series method and parallel method in hemodialysis combined with hemoperfusion.ResultsThe installation time of the parallel method was significantly higher than that of the series method (P 0.05).ConclusionFor hemodialysis combined with hemodialysis, the parallel method can reduce the treatment interruption time, reduce the risk of infection and nurse's occupational exposure. The only drawback is that the pipe installation process is longer than the series method, but it does not affect the total operation time. Therefore, the parallel method is recommended for comprehensive consideration.Key words: Hemodialysis; Hemoperfusion; Connection mode
LibGuides: Cataloging Toolbox for International Government Information: World Bank

Cataloging, classification and subject vocabularies used in creating metadata description for International Governmental Organizations.