Reviewerly/exHarmony huggingface dataset:
Communication of Scientific and Technological Systems with Regional Innovative Processes

The aim of the work is to clarify the interconnection of the regional concentration of innovation activity of economic entities with the regional concentration of scientific and technical systems in Ukraine.The scientific and technical systems of Ukraine are the infrastructure of innovation and investment activity of its industrial enterprises.The results of the correlation analysis allowed on the macro level to reveal the interconnection of the innovation activity of industrial enterprises in Ukraine with its scientific and technical systems.While the meso-use of the method of comparing regional structures by calculating deviations did not allow to reveal of the significant link between the regional concentration of innovation activity and the regional concentration of all types of scientific and technical systems.The relevant relationship was found only with organizations on the sphere of engineering.In addition, a higher level of interconnection of innovation activities of industrial enterprises and organizations on the sphere of engineering was revealed and by the results of correlation analysis at the macro level.Clarification of the higher role of organizations of the sphere of engineering in the innovation activity of industrial enterprises in Ukraine allows us to revise and clarify priorities regarding the objects of influence in the state regulation in the direction.
Pulsed entanglement measured by parametric amplifier assisted homodyne detection

Using the detection system consisting of a phase sensitive amplifier and standard homodyne detectors, we experimentally demonstrate that the influence of detection loss and multi-mode property of entangled fields can be greatly mitigated.
Overview of the CHIIR 2019 workshop on Barriers to Interactive IR Resources Re-use (BIIRRR 2019)

This paper presents an overview of the BIIRRR 2019 workshop at CHIIR 2019, which had the explicit aim of understanding and promoting re-use of resources for interactive IR experimentation.
On the Computation of Longest Previous Non-overlapping Factors

The f-factorization of a string is similar to the well-known Lempel-Ziv (LZ) factorization, but differs from it in that the factors must be non-overlapping. There are two linear time algorithms that compute the f-factorization. Both of them compute the array of longest previous non-overlapping factors ( $$\mathsf {LPnF}$$ -array), from which the f-factorization can easily be derived. In this paper, we present a simple algorithm that computes the $$\mathsf {LPnF}$$ -array from the $$\mathsf {LPF}$$ -array and an array $$\mathsf {prevOcc}$$ that stores positions of previous occurrences of LZ-factors. The algorithm has a linear worst-case time complexity if $$\mathsf {prevOcc}$$ contains leftmost positions. Moreover, we provide an algorithm that computes the f-factorization directly. Experiments show that our first method (combined with efficient $$\mathsf {LPF}$$ -algorithms) is the fastest and our second method is the most space efficient way to compute the f-factorization.
Base 5 vs. Karp-Rabin as optimizations in the BLAST heuristic for the alignment of DNA sequences

In bioinformatics, the database of biological sequences increases at a dizzying rate, with the alignment algorithms used for the comparison of sequences determining genetic distances, generation of phylogenetic trees, etc. This work seeks to compare the incorporation of the Rabin-Karp and Base 5 algorithms as possible optimizations during the generation of seed indexes of the BLAST alignment algorithm to align multiple query sequences with the DNA sequence of the human genome as sequence of reference. The tests were processed sequentially and using GPU in the MANATI supercomputer of the High Performance Computational Center of the Peruvian Amazon of the IIAP, showing a better performance for a possible optimization of BLAST in the generation of hash keys with the algorithm taken from Base 5 for long sequences (genomes) with short keys, generating maximum dispersion. However, for short sequences or longer keys, it is advisable to use Karp-Rabin, reducing this dispersion.
[Book Review] Transactional Distance and Adaptive Learning, Planning for the Future of Higher Education by F. Saba and R.L. Shearer (2018), Routledge

Review of: Saba, F and Shearer, R.L. (2018) Transactional Distance and Adaptive Learning, Planning for the Future of Higher Education. London: Routledge. 212 pages. ISBN: 978-1-138-30233-4, ISBN: 9780203731819
Förtryckt hora, fri madonna – en undersökning av svensk rätts förståelse av prostitution och surrogatmödraskap ur ett radikalfeministiskt perspektiv

This essay examines the understanding of prostitution and surrogacy within Swedish law, from a radical feminist perspective. Given the radical feminist standpoint that prostitution and surrogacy are phenomena comparable with each other, the essay analyzes how a radical feminist discourse is conveyed within two official reports of the Swedish government: SOU 1995:15 and SOU 2016:11. By not primarily working using the legal methodology, but by working applying a simplified version of Carol Bacchi’s discourse analytical method What is the problem represented to be?, the essay clarifies how the investigator’s respective representation of prostitution and surrogacy, relates to radical feminist theory.The result of the analysis shows that the understanding of prostitution and surrogacy within Swedish law, does convey a radical feminist discourse in both reports, but in different ways and in various degrees. On one hand, the discourse is more extensive in the report on prostitution. On the other hand, the discourse is strong in the parts concerning women’s right to bodily autonomy, in the report on surrogacy. The result is problematized and discussed, taken into account limitations and effects that can derive from the problem representations. The shift from a structural to an individualistic understanding is being problematized and compared to prior research by Maud Eduards and Ulrika Andersson.Key words: prostitution, surrogacy, radical feminism, women’s rights, problem representation, discourse, official reports of the Swedish government, SOU 1995:15, SOU 2016:11
Monitoring driver attention distraction with binocular vision

Driver attention distraction (DAD) is a typical artificial factor traffic accident, and DAD monitoring can improve driving security. In this study, a method was developed for accurate DAD monitoring based on binocular vision. A binocular vision system was built, and camera parameters of the system were calibrated based on Open CV. In the method, the driver’s facial image is obtained by using active infrared imaging technology and preprocessed to locate the eye positions. The connected component labeling algorithm for binary images is used to pinpoint the eye locations. The characteristic information of the eye pupils is extracted with the least-squares ellipse fitting algorithm, and the characteristic information of the Purkinje image is obtained with the Harris corner detection algorithm. A DAD warning model based on the binocular vision system was established to evaluate the attention state of the driver.
The Production of Process: The Case of Bitcoin

The 11th International Process Symposium Organizing in the Digital Age: Understanding the Dynamics of Work, Innovation, and Collective Action (PROS 2019), Chania, Crete, 19-22 June 2019
Scalable Time-Multiplexed Optical Neural Networks based on Homodyne Detection

We present an optical neural-network accelerator based on coherent (homodyne) detection that is scalable to large networks, and analyze the fundamental (quantum) and practical limits to its performance.
Per-Dereference Verification of Temporal Heap Safety via Adaptive Context-Sensitive Analysis

We address the problem of verifying the temporal safety of heap memory at each pointer dereference. Our whole-program analysis approach is undertaken from the perspective of pointer analysis, allowing us to leverage the advantages of and advances in pointer analysis to improve precision and scalability. A dereference $$\omega $$ , say, via pointer q is unsafe iff there exists a deallocation $$\psi $$ , say, via pointer p such that on a control-flow path $$\rho $$ ,p aliases with q (with both pointing to an object o representing an allocation), denoted , and $$\psi $$ reaches $$\omega $$ on $$\rho $$ via control flow, denoted . Applying directly any existing pointer analysis, which is typically solved separately with an associated control-flow reachability analysis, will render such verification highly imprecise, since (i.e., $$\exists $$ does not distribute over $$\wedge $$ ). For precision, we solve , with a control-flow path $$\rho $$ containing an allocation o, a deallocation $$\psi $$ and a dereference $$\omega $$ abstracted by a tuple of three contexts . For scalability, a demand-driven full context-sensitive (modulo recursion) pointer analysis, which operates on pre-computed def-use chains with adaptive context-sensitivity, is used to infer , without losing soundness or precision. Our evaluation shows that our approach can successfully verify the safety of 81.3% (or $$\frac{93,141}{114,508}$$ ) of all the dereferences in a set of ten C programs totalling 1,166 KLOC.
Emulating Human Developmental Stages with Bayesian Neural Networks

We compare the acquisition of knowledge in humans and machines. Research from the field of developmental psychology indicates, that human-employed hypothesis are initially guided by simple rules, before evolving into more complex theories. This observation is shared across many tasks and domains. We investigate whether stages of development in artificial learning systems are based on the same characteristics. We operationalize developmental stages as the size of the data-set, on which the artificial system is trained. For our analysis we look at the developmental progress of Bayesian Neural Networks on three different data-sets, including occlusion, support and quantity comparison tasks. We compare the results with prior research from developmental psychology and find agreement between the family of optimized models and pattern of development observed in infants and children on all three tasks, indicating common principles for the acquisition of knowledge.
LibGuides: Adobe Creative Cloud: Training

Austin Community College is the first community college in the nation designated an Adobe Creative Campus. This guide gives general information about creative tools available to the ACC community of learners.
Smart Homes for elderly to promote their health and wellbeing

The percentage of UK society aged 65 or above is projected to increase to 20.7% by 2027. This increases health challenges, including various physical and mental health concerns which creates a demand for health care services and technologies. This highly affects the cost of health services which exerts pressure on the national health services as well as private health care providers. There is a need for smart home systems which would preserve independence without compromising on their safety and promote their quality of life. Despite the development and availability of several assistive technologies tailored to support the elderly population, the rate of adoption is still low. We aim to model and design an unobtrusive intelligent environment solution which boosts the rate of adoption among the elderly population in order to promote their health and wellbeing.
A unique data validation process by internal and external quality assurance system aimed to combat research malpractice.

Research fabrication and data fraud are one of the major concerns worldwide which are rising and evident from increasing number of retractions in peer reviewed Journals. If not checked, this can impact the reputation of a research organisation as well as the costs of translation of research data. In basic research extremely publicized cases of falsification of data have been reported and it is possible, that there are many unreported or undetected cases. In order to improve the quality standards, the validation processes were implemented for data quality at Neuroscience research lab in India for verifying PhD thesis results. Good Laboratory practices could be implicated in every research institute so that data impostures were prevented. We aimed to establish superior data quality by randomly verifying raw data in multiple projects funded by national agencies before publication of results at Neuroscience Research Lab.
Memory-Augmented Neural Networks for Machine Translation

Memory-augmented neural networks (MANNs) have been shown to outperform other recurrent neural network architectures on a series of artificial sequence learning tasks, yet they have had limited application to real-world tasks. We evaluate direct application of Neural Turing Machines (NTM) and Differentiable Neural Computers (DNC) to machine translation. We further propose and evaluate two models which extend the attentional encoder-decoder with capabilities inspired by memory augmented neural networks. We evaluate our proposed models on IWSLT Vietnamese to English and ACL Romanian to English datasets. Our proposed models and the memory augmented neural networks perform similarly to the attentional encoder-decoder on the Vietnamese to English translation task while have a 0.3-1.9 lower BLEU score for the Romanian to English task. Interestingly, our analysis shows that despite being equipped with additional flexibility and being randomly initialized memory augmented neural networks learn an algorithm for machine translation almost identical to the attentional encoder-decoder.
Charlotte Tilbury succeeds on copyright claim against Aldi lookalike

Abstract Islestarr Holdings Ltd v Aldi Stores Ltd [2019] EWHC 1473 (Ch) The High Court of England and Wales has found that discount supermarket Aldi had copied claimant Charlotte Tilbury’s artistic works in creating its cheaper make-up product. The case demonstrates the tools available to brands in tackling lookalikes (or ‘dupes’) and may provide lessons on how designers can build into their products certain protectable features that increase the chances of being able to repress unauthorized imitations.
The Bork-Baykal Phenomenon

A 9-month-old boy referred to our department for evaluation of a giant melanocytic nevus of the trunk, which appeared since birth (Figures 1 and2).
Ontology-based feature-level sentiment analysis in Portuguese reviews

Sentiment analysis is the field of study that analyses people's opinions in texts. In the last decade, humans have come to share their opinions in social media on the web. Opinions are important because whenever we need to take a decision, we want to know others' points of view. In this work we study this more detailed level of analysis, which is called the aspect-level. This more detailed type of analysis requires going deeper in the parts of a sentence and an effort to deal with their meaning, therefore knowledge rich approaches are useful. For that we use ontologies, as they can be used to represent the relevant aspects of entities, in a semantic organized way, for instance, aspects that are 'part-of' or properties of an entity in a domain of knowledge. Our approach is built for Portuguese and is evaluated on a reviews data set of the accommodation sector.
A Neural Field Model for Supervised and Unsupervised Learning of the MNIST Dataset

A biological model of cortical learning based on neural fields is elaborated and analyzed. In an effort to establish the method as a viable option in today’s machine learning world, the method is evaluated based on the MNIST dataset. The approach relates to established work in dynamic systems and neural field models, with an innovation that prevents runaway feedback between neural fields. The method is advanced through four studies. The first three studies illustrate the mechanics of the method by way of supervised learning. Results are compared to analogous results achieved through other methods. The final study builds on the first three studies to illustrate and evaluate how unsupervised learning is accomplished. Concluding discussion considers advantages of the approach over other approaches, and how large neural field networks may be constructed and applied to temporal pattern learning in domains such as robotics.
Flexible Kernel Selection in Multitask Support Vector Regression

Multitask Learning (MTL) aims to solve several related problems at the same time exploiting the similarities between them. In particular, Support Vector Machines (SVMs) can be used for MTL, providing a model that is potentially more flexible than a classical SVM trained over the data of all the tasks, and which can use more information than a set of independent models trained over each one of the tasks. Nevertheless, a major drawback of these SVMs is the large number of hyperparameters if no simplifying assumptions are made, which prevents from using standard selection methods as grid or random searches. In particular, both the common kernel and the kernels associated to each one of the tasks have to be selected. In this paper, we propose an approach to choose these kernels based on Gaussian Processes (GPs), whose Bayesian perspective allows one to deal naturally with several parameters. In particular, a GP is trained for each task, and the resultant kernel parameters are transferred to the SVM-based MTL model. Several experiment in real-world datasets show empirically the usefulness of this approach and the advantages of the GP-based kernel selection method.
Teks Eksplanasi pada Surat Kabar sebagai Bahan Ajar dalam Pembelajaran di Kelas XI SMK

This study aims to: (1) Describe the explanatory text structures contained in the March 2019 edition of the Solopos newspaper. (2) Describe the form of the explanatory text structure in the March 2019 edition of the Solopos newspaper. (3) Describe the utilization of explanatory text research results in the March 2019 edition of the Solopos newspaper in learning Indonesian in class XI Vocational School. This type of research is qualitative with a qualitative descriptive method. The data in this study are explanatory texts. The data source in the study is the March 2019 edition of the Solopos newspaper. Data collection techniques that use referential equivalent methods. The validity used in this study is the theory triangulation. Data analysis techniques using marking reading techniques begin by examining all available data from the source, namely collecting data in the March 2019 edition of the Solopos newspaper, observations that have been written in notes, personal documents. The results of the study of 20 explanatory text data in the Solopos newspaper succeeded in finding the first, a structure that has three parts to fill explanatory texts in the form of general statements (opening), a series of explanations (contents), and interpretations. Second, the form of filling out the explanatory text structure in the form of a general statement containing a sentence or paragraph containing an explanation or introduction to the topic, an explanatory sequence containing paragraphs which contains the process of occurring phenomena on the topic, usually patterned as causation, and interpretations that contain paragraphs interpretation of the opening and contents sections. Third, its use as teaching material and the introduction of text structures in Indonesian language learning.Keywords: teaching material, structure, explanatory text, a form of filler
LibGuides: ELD Collection Development: Case Studies

Companion libguide to the 3 hour workshop at ASEE Tampa, Florida on June 16, 2019. http://guides.library.cornell.edu/eldcollections
A Study on the Hyperlink Structures of the Official Websites of TV Networks: Analysis Focus on ABC, BBC, NHK, and KBS

This paper explores the hyperlink structures of the official websites for the following terrestrial TV networks: ABC(US), BBC(UK), NHK(Japan), and KBS(Korea). These websites were selected and visualized to analyze the hyperlink structure and examine the connection relations among the TV networks. A total of 4378 data was collected through the Voson site and were analyzed with NodeXL. Results shows that NHK’s network demonstrates a good network structure at a quite high level, holding more related websites than BBC. We discovered that ABC TV network has the largest effect with the largest number of out-links. Surprisingly, structures of BBC and NHK were quite similar, overcoming geographical and cultural differences. Thus, both TV networks were seen to be progressive and open. On the contrary, ABC and KBS were considered to be relatively conservative. A comprehensive review of the category points combination chart revealed that NHK''s official website has the widest variety of hyperlinks. The shortest distance of a hyperlink between a website type and a TV network meant that the TV network has a larger number of links to those website types than other TV networks do. The result may provide Internet users to efficiently select TV network web pages according to the types of information they want to find out.
LibGuides: ELD Collection Development: Feedback

Companion libguide to the 3 hour workshop at ASEE Tampa, Florida on June 16, 2019. http://guides.library.cornell.edu/eldcollections
Struktur Teks Berita dan Unsur Bagaimana pada Surat Kabar Republika dan Kompas Sebagai Bahan Ajar Bahasa Indonesia SMP Kelas VIII

This study has three objectives, (1) Describe the structure of news texts in Republika and Kompas newspapers, (2) Describe how elements in Republika and Kompas newspaper news texts, (3) Describe the use of news text structures and how elements in news texts as Indonesian language teaching materials class VIII. The research method uses qualitative methods. Data collection techniques in this study used the method of referencing with the advanced technique of note taking. Data analysis in this research was conducted using the method of distribution with advanced techniques of sorting techniques. News text research results in the November 2018 edition of the Republika and Kompas newspapers, 1) There is a complete structure such as the headline, headline, body of news, and head of the news. The news body has 5W + 1H elements which have complete and incomplete functions such as why (when) elements and where (where) as well as inverted news body elements, 2) The results of linguistic analysis of filler elements, how the markers are always in the news text that is the verb markers, adjectives, adverbs and verb phrases, 3) The results of this analysis can be used as teaching materials for class VIII SMP 1 semester 3.2 KD. Examining Structure and Language of a proud and motivating News Text.
Web applications as a common tool : Template applications and guidelines for none software developers

Web applications as a common tool : Template applications and guidelines for none software developers
Social Media Data Analytics Framework for Disaster Management

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.