Reviewerly/exHarmony huggingface dataset:
An Automated Method to Generate and Evaluate Geochemical Tectonic Discrimination Diagrams Based on Topological Theory

Discrimination diagrams can be used to distinguish different tectonic settings of igneous rocks. To improve the quality and efficiency of the design of discrimination diagrams, an automatic design and assessment method for discrimination diagrams is proposed based on topology theory. The method is aimed at programming the traditional process of discrimination diagram design, enabling computers to simulate the visual discrimination process. It thus automatically designs tectonic setting discrimination diagrams by investigating all possible combinations of geochemical elements. In the experiment, analyses of 3803 gabbro samples were collected from three tectonic settings, including island arc, ocean island, and mid-oceanic ridge. Using the proposed method, we found thousands of discrimination diagrams with fields overlapping less than 10%. By analyzing these diagrams, the most critical elements (or element ratio pairs) are identified. Based on the result, the feasibility of using gabbroic rocks to discriminate between tectonic settings is illustrated and four representative discrimination diagrams, including the La/Y–Nb/Ba diagram, Nb/Sc–Sc/Ba diagram, Ba/Nb–Ba/Sc diagram, and La/Na2O–Nb/Ba diagram, are recommended for use. This research supports the view that gabbroic rocks can also be used to discriminate between different tectonic settings. The method could also be applied to other rock types.
Construction of minimal linear codes from multi-variable functions

<p style='text-indent:20px;'>In this paper, we define a linear code by using multi-variable functions, and construct three classes of minimal linear codes with few-weight from multi-variable functions.
Prediction Based on Random Survival Forest

Random survival forest (RSF) is an ensemble of survival trees where each tree within the forest is grown non-deterministically. RSF is an attractive nonparametric alternative in modeling time-to-event data when the number of covariates is larger than the number of subjects and the relationship between the response and covariates is complex.
Correction to: Artificial neural networks based techniques for anomaly detection in Apache Spark

The original version of this article unfortunately contained a graphical mistake in Table 4. Table 4 shows a list of performance metrics associated to the DSM1, DSM2, DSM3, and DSM4 methods proposed in the paper. Due to a production problem, this table does not display the necessary vertical dividing lines required to distinguish the four methods. The original table intended for publication is given in this erratum. The original article has been corrected.
Projected tests for high-dimensional covariance matrices

The classic likelihood ratio test for testing the equality of two covariance matrices breakdowns due to the singularity of the sample covariance matrices when the data dimension is larger than the sample size. In this paper, we present a conceptually simple method using random matrices to project the data onto a one-dimensional random subspace so that conventional methods can be applied. Both one-sample and two-sample tests for high-dimensional covariance matrices are considered. A transformation using the precision matrix is used to help maintain the information on the off-diagonal elements of the covariance matrices. Multiple projections are used to improve the performance of the proposed tests. An extremal type theorem is established and used to estimate the significance level. Simulations and an application to the Acute Lymphoblastic Leukemia (ALL) data are given to illustrate our method.
A Bijection for Essentially 4-Connected Toroidal Triangulations

Transversal structures (also known as regular edge labelings) are combinatorial structures defined over 4-connected plane triangulations with quadrangular outer-face. They have been intensively studied and used for many applications (drawing algorithm, random generation, enumeration ...). In this paper we introduce and study a generalization of these objects for the toroidal case. Contrary to what happens in the plane, the set of toroidal transversal structures of a given toroidal triangulation is partitioned into several distributive lattices. We exhibit a subset of toroidal transversal structures, called balanced, and show that it forms a single distributive lattice. Then, using the minimal element of the lattice, we are able to enumerate bijectively essentially 4-connected toroidal triangulations.
Few-shot Action Recognition via Improved Attention with Self-supervision

Many few-shot learning models focus on recognising images. In contrast, we tackle a challenging task of few-shot action recognition from videos. We build on a C3D encoder for spatio-temporal video blocks to capture short-range action patterns. Such encoded blocks are aggregated by permutation-invariant pooling to make our approach robust to varying action lengths and long-range temporal dependencies whose patterns are unlikely to repeat even in clips of the same class. Subsequently, the pooled representations are combined into simple relation descriptors which encode so-called query and support clips. Finally, relation descriptors are fed to the comparator with the goal of similarity learning between query and support clips. Importantly, to re-weight block contributions during pooling, we exploit spatial and temporal attention modules and self-supervision. In naturalistic clips (of the same class) there exists a temporal distribution shift--the locations of discriminative temporal action hotspots vary. Thus, we permute blocks of a clip and align the resulting attention regions with similarly permuted attention regions of non-permuted clip to train the attention mechanism invariant to block (and thus long-term hotspot) permutations. Our method outperforms the state of the art on the HMDB51, UCF101, miniMIT datasets.
Tuoris: A middleware for visualizing dynamic graphics in scalable resolution display environments

In the era of big data, large-scale information visualization has become an important challenge. Scalable resolution display environments (SRDEs) have emerged as a technological solution for building high-resolution display systems by tiling lower resolution screens. These systems bring serious advantages, including lower construction cost and better maintainability compared to other alternatives. However, they require specialized software but also purpose-built content to suit the inherently complex underlying systems. This creates several challenges when designing visualizations for big data, such that can be reused across several SRDEs of varying dimensions. This is not yet a common practice but is becoming increasingly popular among those who engage in collaborative visual analytics in data observatories. In this paper, we define three key requirements for systems suitable for such environments, point out limitations of existing frameworks, and introduce Tuoris, a novel open-source middleware for visualizing dynamic graphics in SRDEs. Tuoris manages the complexity of distributing and synchronizing the information among different components of the system, eliminating the need for purpose-built content. This makes it possible for users to seamlessly port existing graphical content developed using standard web technologies, and simplifies the process of developing advanced, dynamic and interactive web applications for large-scale information visualization. Tuoris is designed to work with Scalable Vector Graphics (SVG), reducing bandwidth consumption and achieving high frame rates in visualizations with dynamic animations. It scales independent of the display wall resolution and contrasts with other frameworks that transmit visual information as blocks of images.
A robust and automated cell counting method in quantification of digital breast cancer immunohistochemistry images

Quantitative analysis of immunohistochemically stained breast cancer specimens by cell counting is important for prognosis and treatment planning.This paper presents a robust, accurate, and novel method to label immunopositive and immunonegative cells automatically.During preprocessing, we developed an adaptive method to correct the colour aberration caused by imaging conditions.Next, a pixel-level segmentation was performed on preprocessed images using a support vector machine with a radial basis function kernel in HSV colour space.The segmentation result was processed by mathematical morphology operations to correct error-segmented regions and extract the marker for each cell.Validation studies showed that the automated cell-counting method had divergences varying from -5.05% to 3.99% compared with manual counting by a pathologist, indicating considerable agreement of the present automated cell counting method with manual counting.Thus, this method can free pathologists from laborious work and can potentially improve the accuracy and the reproducibility of diagnosis.
The Importance Of Needs Analysis In Materials Development

Abstract : There is an issue which can be the subject of a further research that is: most learners of EFL do not actually have any needs at all. They are learning English because they have to rather than because they want or need to. This is particularly true of young learners, who are not going to need to communicate in English for many years to come (if at all). In such cases, the teacher is unlikely to be able to create much intrinsic motivation to learn English in general but can create the need in an engaging classroom task in which the students need to find a way of communicating in English in order to successfully complete the task. This can lead to readiness for acquisition provided the students are motivated by the teacher to read extensively as well. Thus, there should be more place for needs analysis because when we do not run the first principle to create and produce better materials, the rest will always be under great doubt. Every new teacher should consider starting their year applying needs analysis in small scales and then decide what the best is for themselves and their learners.Keywords : Needs analysis, material development
IMPLEMENTASI SISTEM USABILITY SCALE DALAM EVALUASI PERSPEKTIF PENGGUNA TERHADAP SISTEM INFORMASI AKADEMIK BERBASIS MOBILE

Bina Darma University is one of the higher education institutions in South Sumatra Province. Bina Darma University has made a real contribution in the world of Education, especially in the South Sumatra Province. To ensure the smooth running of the academic routine, Bina Darma University has a special directorate, namely The Directorate of Systems and Information Technology (DSTI). The directorate's main task is to ensure the availability of IT services to support academic activities. One of the services currently available is a mobile-based academic information system (UBD on your hand). Where this service is a development service from an existing web-based academic information system. But to ensure that the service remains well-established, it is necessary to know how the user's perspective on an IT service such as the UBD application on your hand. To find out how far the user is using usability techniques using the system usability scale approach as a measurement tool. The measurement results obtained an average value of 87.2 indicating that the mobile-based academic information system (UBD on your hand) was viewed from an adjective rating including excellence category, seen from the grade scale including group B, and in terms of acceptability including acceptable groups. Thus, the category can be accepted by the user and feasible to use without repairs.
Mineralogical, Petrological and Geochemical Study of the Agios Ioannis Volcanic Rocks, Kamena Vourla Area, Greece

The Plio-Pleistocene volcanic center of Lichades is located in the Northern Euboean Gulf, at the western extremity of the North Anatolian Fault and it is one of the most neo-tectonically active areas in Greece. Volcanic rocks are exposed in the form of lava flows and/or domes mostly in the small islands (Lichades) offshore Kamena Vourla, as well as in a small outcrop in mainland, namely the Agios Ioannis area. Based on the results of the present study, the Agios Ioannis volcanic rocks are characterized as trachyandesites with high-K calc-alkaline affinities, similar to several volcanic rocks from the South Aegean Volcanic Arc. The petrological and mineral-chemical study reveal that the studied volcanic rocks are characterized by vitrophyric texture and a matrix dominated by glass, numerous randomly-oriented microlites of plagioclase and minor sanidine, clinopyroxene and amphibole. Phenocrysts comprise of plagioclase, olivine, quartz, clinopyroxene and amphibole. Plagioclase composition ranges from andesine to bytownite (An30-An73). Olivine cores are typically Mg-rich, and the rims display elevated FeO content. Clinopyroxenes display a narrow compositional range between augite and diopside, with the latter being more common. Amphiboles, are calcic and their composition ranges from tschermakite to tschermakitic hornblende. Mineralogical and geochemical similarities with other volcanic rocks in Greece such as Lesvos lamproites, may be helpful in understanding the genesis of the studied Agios Ioannis volcanics.
Promoting Students’ Reading Comprehension Using Graphic Organizer: A Classroom Action Research

This research aimed to describe the process of improving students’ reading comprehension of narrative text through graphic organizer strategy in SMP Regina Pacis Surakarta. It was conducted to the ninth year students, especially class VIII A as the subject of research. The researcher conducted a classroom action research. Achievement test, observation checklist and field note used as the tools of data collecting. The research findings showed that graphic organizer strategy was appropriate for teaching reading comprehension. Students’ mean score increased from 63 to 78. The students were able to map out basic components of the story such as setting, problem, goals, action, and outcomes. Graphic organizerprovides structure and organization so students were able to comprehend the story more effective.
VISUALIZATION: BASIC CONCEPTS AND DEFINITIONS

Psychological and pedagogical sources are analyzed for the description of different variants of the definitions of concepts «visualization», «cognitive visualization», «cognitive graphics», «visualization technologies», «visualization tools». The basic system of concepts concerning the use of visualization in the professional activity of the teacher is considered. The terminology of these concepts is offered, which provides structural completeness of consideration and serves as a conceptual basis for finding ways of applying visualization in educational practice. Visualization by the author is considered as the presentation of educational information, which may, probably may or may not be reproducible in real life with the help of information and communication technologies for the purpose of provide maximum convenience of its perception and understanding. Cognitive visualization is presented by the author as a presentation of educational information that takes into account the appropriate technology for its creation or processing, with the purpose of activating and intensifying the cognitive processes and supporting the productive activity of the individual. The term «cognitive graphics» by the author is identified with the term «cognitive visualization». Visualization technology is considered from the point of view of creation of digital didactic visual aids by means of modern information and communication technologies and their use in the educational process. The term «visualization tools» is understood as tools for creating digital didactic visuals that can be software or cloud.Key words: visualization, cognitive visualization, cognitive graphics, technologies of visualization, visualization tools, educational process, information and communication technologies.
Epistemic stance without epistemic modals: the case of the presumptive future

This paper deals with the non-temporal use of the future in Italian knownas ‘epistemic’ or ‘presumptive’ (PF) in declaratives and interrogatives. We firstdistinguish PF from epistemic necessity and possibility, as well as from weaknecessity modals, providing in the process the main empirical challenges PF raises.We then propose and justify a semantic account that treats PF as a special normalitymodal that involves a subjective likelihood component. Since in our account theprejacent (the proposition in the scope of the modal) is at issue, the use of PF triggersthe implicature that the speaker is not in a position to appeal to what she knows inorder to support her commitment to the prejacent. This, we claim, is the source ofthe intuition that PF is often used to offer a “guess” relative to the question underdiscussion (QUD).
AMF-IDBSCAN: Incremental Density Based Clustering Algorithm Using Adaptive Median Filtering Technique

Density-based spatial clustering of applications with noise (DBSCAN) is a fundamental algorithm for density-based clustering.It can discover clusters of arbitrary shapes and sizes from a large amount of data, which contains noise and outliers.However, it fails to treat large datasets, outperform when new objects are inserted into the existing database, remove noise points or outliers totally and handle the local density variation that exists within the cluster.So, a good clustering method should allow a significant density modification within the cluster and should learn dynamics and large databases.In this paper, an enhancement of the DBSCAN algorithm is proposed based on incremental clustering called AMF-IDBSCAN which builds incrementally the clusters of different shapes and sizes in large datasets and eliminates the presence of noise and outliers.The proposed AMF-IDBSCAN algorithm uses a canopy clustering algorithm for pre-clustering the data sets to decrease the volume of data, applies an incremental DBSCAN for clustering the data points and Adaptive Median Filtering (AMF) technique for post-clustering to reduce the number of outliers by replacing noises by chosen medians.Experiments with AMF-IDBSCAN are performed on the University of California Irvine (UCI) repository UCI data sets.The results show that our algorithm performs better than DBSCAN, IDBSCAN, and DMDBSCAN.
Evolution of Techniques for Question Answering over Knowledge Base: A Survey

In this paper, a brief study of the advancements in the Question Answering domain as a type of information retrieval system is presented.Question Answering systems are responsible to provide answers to the questions proposed over a knowledge base in natural language to retrieve the required information.The promising results achieved in Question Answering in Natural Language Processing are discussed.The aim is to cover a concise yet complete understanding of the advances in Question Answering Systems classified based on domain and question type and brief information about metrics used to evaluate the system.
ExtendAIST: Exploring the Space of AI-in-the-Loop System Testing

The AI-in-the-loop system (AIS) has been widely used in various autonomous decision and control systems, such as computing vision, autonomous vehicle, and collision avoidance systems. AIS generates and updates control strategies through learning algorithms, which make the control behaviors non-deterministic and bring about the test oracle problem in AIS testing procedure. The traditional system mainly concerns about properties of safety, reliability, and real-time, while AIS concerns more about the correctness, robustness, and stiffness of system. To perform an AIS testing with the existing testing techniques according to the testing requirements, this paper presents an extendable framework of AI-in-the-loop system testing by exploring the key steps involved in the testing procedure, named ExtendAIST, which contributes to define the execution steps of ExtendAIST and design space of testing techniques. Furthermore, the ExtendAIST framework provides three concerns for AIS testing, which include: (a) the extension points; (b) sub-extension points; and (c) existing techniques commonly present in each point. Therefore, testers can obtain the testing strategy using existing techniques directly for corresponding testing requirements or extend more techniques based on these extension points.
Photonic Doppler velocimetry for high-speed fragment generator measurements

We developed a modified photonic Doppler velocimetry (PDV) configuration which possesses the ability to record wide-range velocity information to evaluate composite material fracture behavior. With the laminate and tunnel design of a fragment generator, the controllable parameters such as fragment size and applied voltage can provide the flexibility for dynamic evaluation under different momentum conditions. We obtained velocity profiles using continuous wavelet transforms and by using our proposed velocity line tracing algorithm. Simulated heterodyne signals and surface morphology of fractures were examined to verify the heterodyne signals. We observed that the obtained tunnel-end velocity of the fragment generator was proportional to the applied voltage.
Empathic Design as a Framework for Creating Meaningful Experiences

This paper introduces empathic design as a framework and a strategy that can be adopted by the emerging field of experience design (XD) to create meaningful experiences connected with people’s lives and needs. The paper presents the rationale behind the emergence of empathic design, the traits that characterize this approach to design, a collection of empathic design methods and practices, and a critical discussion of the limitations of empathy in design. Methodologically, this paper is based on a systematic literature review on empathic design, human-centred design, and empathy, which is synthesized and focused its application in experience design. Ultimately, this paper intends to contribute to the broader discussion of how traditional design practices are adapting and evolving to respond to new realities, and how new design paradigms are needed to address the very complex challenges that we face in the 21st century.
Semantic Knowledge Transformation for Context-aware Heterogeneous Formalisms

In recent years, an increasing social dependency has been observed over the cell phones and now evolved into smart devices.Due to the rapid escalation of these smart devices, users are becoming habitual in utilizing these services using smartphones and /or wearable devices in which different applications are running to assist and facilitate users in daily life routine activities.Mobility and context-awareness are the core features of pervasive computing.Context-awareness has the capability to identify the current situation and respond accordingly in the environment whenever and wherever needed.However, it is quite challenging to detect and sense the more appropriate contextual information when various interactive devices communicate among themselves.This paper presents the semantic knowledge transformation techniques for ontology-driven context-aware formalisms to model heterogeneous systems.We propose theoretical as well as practical approaches to transform semantic knowledge into firstorder Horn-clause rules format which can be used by contextaware multi-agent systems to achieve their desired goals.