Reviewerly/exHarmony huggingface dataset:
Artificial Intelligence and Arbitration: The Computer as an Arbitrator — Are We There Yet?

Artificial Intelligence (A.I.) seems every place these days. This article asks: Using A.I., can a computer serve as an arbitrator issuing final, binding awards, with little or no involvement by a human? The authors conclude the answer is “YES.” Arbitration and A.I. have something in common; something that does not exist when A.I. is applied to courthouse litigation. Both have severe constraints put in place by humans; boundaries that are identifiable and enforceable. With arbitration, the constraints are set out by the parties in the arbitration clause. Arbitrators cannot exceed this authority, and if an arbitrator does, the award can be vacated. A crucial distinction exists between the actions of a judge and an arbitrator. A judge has a first obligation to the law and judges have the power to create and modify jurisprudence. Judges have broad discretion and are not bound by the wishes of those who appear before them. The judge must always apply the law. The arbitrator has a first obligation to the parties as expresses in an arbitration clause, constrained only by the injunction that an arbitrator cannot be required to act in a manner violating public policy or is criminal. If the parties fail to require the application of law, an arbitrator can do what is just under the circumstances. Unlike the judge, the discretion permitted an arbitrator is severely restricted by the demands of those whom the arbitrator serves. Algorithms are slaves to the dictates of the programmer. Absent information from a human, an algorithm has no understanding as to what discretion is or how the concept operates. An algorithm cannot go off on its own doing whatever it pleases. A computer programed to mimic the behavior of an arbitrator can do no more than what the arbitrator may do. These distinctions make arbitration the ideal candidate for applying A.I. for resolving some, but not necessarily all disputes. The authors conclude that A.I. has a place for arbitrating smaller disputes that might otherwise be lost because of the circumstances of a disputant, judicial inefficiencies, or worse, outright corruption. Technical topics are discussed and explanations about how A.I. works are provided in terms the non-computer scientist can easily understand. These include “machine learning” and its various subsets, including “deep learning,” how mathematics and pattern-recognition probabilistic methods play a role in the creation and operation of an algorithm and how to overcome the concern of many that a computer is a “black box” the operation of which is beyond human comprehension. A.I. is applied to a simple dispute involving a dry cleaner who is claimed to have damaged a garment given over for cleaning. The authors conclude that properly structured, A.I provides the basis for a computer taking on the role of an arbitrator, issuing final and binding awards without almost, if not any involvement by the human.
Instructional Media for Construction Drawing by Autodesk Revit Structure

The purpose of this research is to create a teaching tool using Autodesk Revit program.The production of instructional media for drawing construction with the Autodesk Revit Structure consists of the study of data and usage of program procedures.The teaching material of Autodesk Revit Structure was produced in form of video media.The instructional media was assessed by the experts.The students also evaluate the satisfaction and then bring evaluation results are evaluated by dividing the assessment into two types is content and technical production of the media.After that, the results from the validation of the content of the teaching media was used to improve the media of Autodesk Revit Structure according to the recommendations of the experts.The instructional media was used to test with a sample of students via pretest and posttest.The test result is in a good level.From the results of the assessment and achievement tests effective teaching of drawing materials, with the Autodesk Revit Structure program can be used in teaching and learning.
On the mapping between Hopfield networks and Restricted Boltzmann Machines

Hopfield networks (HNs) and Restricted Boltzmann Machines (RBMs) are two important models at the interface of statistical physics, machine learning, and neuroscience. Recently, there has been interest in the relationship between HNs and RBMs, due to their similarity under the statistical mechanics formalism. An exact mapping between HNs and RBMs has been previously noted for the special case of orthogonal (uncorrelated) encoded patterns. We present here an exact mapping in the case of correlated pattern HNs, which are more broadly applicable to existing datasets. Specifically, we show that any HN with $N$ binary variables and $p
On Sparse Connectivity, Adversarial Robustness, and a Novel Model of the Artificial Neuron

In this paper, we propose two closely connected methods to improve computational efficiency and stability against adversarial perturbations on contour recognition tasks: (a) a novel model of an artificial neuron, a “strong neuron,” with inherent robustness against adversarial perturbations and (b) a novel constructive training algorithm that generates sparse networks with O(1) connections per neuron. We achieved an impressive 10x reduction (compared with other sparsification approaches; 100x when compared with dense networks) in operations count. State-of-the-art stability against adversarial perturbations was achieved without any counteradversarial measures, relying on the robustness of strong neurons alone. Our network extensively uses unsupervised feature detection, with more than 95% of operations being performed in its unsupervised parts. Less than 10.000 supervised FLOPs per class is required to recognize a contour (digit or traffic sign), which allows us to arrive to the conclusion that contour recognition is much simpler that was previously thought.
ABSP System for The Third DIHARD Challenge

This report describes the speaker diarization system developed by the ABSP Laboratory team for the third DIHARD speech diarization challenge. Our primary contribution is to develop acoustic domain identification (ADI) system for speaker diarization. We investigate speaker embeddings based ADI system. We apply a domain-dependent threshold for agglomerative hierarchical clustering. Besides, we optimize the parameters for PCA-based dimensionality reduction in a domain-dependent way. Our method of integrating domain-based processing schemes in the baseline system of the challenge achieved a relative improvement of $9.63\%$ and $10.64\%$ in DER for core and full conditions, respectively, for Track 1 of the DIHARD III evaluation set.
후서곤체(後西崑體) 시의 형식적 특징에 관한 소고(小考)

To understand the Latter Xikun poem style as an extension of the Xikun poem style, as previously analyzed, this is because their poems directly inherited the lyric poets in their content and choice of expression techniques and forms. But that’s not just how they stayed there.This paper looked at its features in three parts―the form of a poem; the choice of a word; arrangement of Duizhang―and based on them we drew the same points and differences from it.The first, like the Xikun poem style, the Latter Xikun poem style created many Lushi, Yanshu·Song Xiang and Song Qi also created Jueju and Guti style, this means an attempt to diversify the form of poetry. The second, both Xia-song and Wang-gui wrote Fugui poem through Fugui word; through relatively clear words, Yanshu wrote Fugui poem; both Song-Xiang and Song-Qi expressed their personal feelings mainly in plain verse. The choice of a word, the Latter Xikun poem style tried to improve the deficiency of the Xikun poem style, according to the demands of the times. The third, in arrangement of Duizhang, Poets of the Latter Xikun poem style all made a very meticulous Duizhang, this is a characteristic of the Xikun poem style.
Correction to: Constructing Ideal Secret Sharing Schemes Based on Chinese Remainder Theorem

Two references to papers by T. Galibus et al. have been added to this paper because these publications, published in 2007 and 2008, contain results mentioned in the present paper. The authors of the present paper were unaware of these publications and obtained their results independently.
Neotectonics and landscape characterization in the Gawler Craton, South Australia - Insights through high-resolution remote sensing

&amp;lt;p&amp;gt;The Gawler Craton hosts significant economic mineralization within South Australia. Due to limited outcrops, deeply weathered profiles, and the absence of a clear variety of landscape surface features, mineral exploration is particularly challenging in this part of Australia. Here we present a workflow of data processing and interpretation to understand the neotectonics and landscape characterization of this region. We explore the potential to delineate surface lineaments and features from newly acquired high-resolution datasets. We aim to automatically identify landform domains based on the analysed data and investigate whether deep seated tectonic lineaments manifest in recognizable surface expressions.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The data we analyse in this study comprises digital elevation, radiometric, magnetic, and gravity data. We assume that elevation and radiometric data relate to surficial landscape features, whereas gravity and magnetic data represent subsurface basement features. Linking the analysis of both surface and subsurface datasets can potentially yield information on the neotectonic activity, and the association between landforms and basement structures as potential zones of fluid migration. We will show how processed digital elevation data can be used for automatic classification of different landform domains.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;In order to assess mineral potential zones in the area, we compare the generated lineament data in terms of their geometric and topological properties to examine whether there is consistency in the subsurface and surface layers. We postulate that through a line density map, we may be able to quantify a potential relationship between lineaments that are representative in both the surface and subsurface, indicating potential faults or large-scale lineament trends that may link mineral systems in the basement with the landscape surface features. Areas that exhibit large numbers of surface and subsurface lineaments might be areas of enhanced mineral potential. This study contributes to enhance the efficiency of mineral exploration protocols in areas under cover.&amp;lt;/p&amp;gt;
A Tighter Correlation Lower Bound for Quasi-Complementary Sequence Sets with Low Correlation Zone

Inspired by an idea due to Levenshtein, we apply the low correlation zone constraint in the analysis of the weighted mean square aperiodic correlation. Then we derive a lower bound on the measure for quasi-complementary sequence sets with low correlation zone (LCZ-QCSS). We discuss the conditions of tightness for the proposed bound. It turns out that the proposed bound is tighter than Liu-Guan-Ng-Chen bound for LCZ-QCSS. We also derive a lower bound for QCSS, which improves the Liu-Guan-Mow bound in general.
KARAKTERISTIK METADATA PADA SHARING FILE DI MEDIA SOSIAL UNTUK MENDUKUNG ANALISIS BUKTI DIGITAL

Metadata is information in a file which its contents are an explanation of the file. Metadata contains information about the contents of data for file management purposes. In various cases involving digital evidence, investigators can uncover a case through the metadata file. Problems that arise when file metadata has changed or deleted information, for example, the moment that a file is shared via social media. Basically, all of the shared files through social media will experience changes in metadata information. This study conducted detailed analysis of changes in metadata information and hex dump values to determine the changing characteristics of metadata files shared in social media. This research method applied a comparison table to see the details of changes in metadata values from all files and social media as research objects. The results of this study are expected to have contribution for forensic analysts to identify the shared metadata characteristics of files in social media. As a result, later, the source of shared files in social media will be known. Moreover, it is expected from these findings that forensic analysts can explore the social media used by the cybercrime perpetrators.
Icelandic Pronunciation Dictionary for Language Technology

The Icelandic Pronunciation Dictionary contains manually revised transcriptions in four pronunciation variants of Icelandic: the standard pronunciation, the northern post-aspiration variant (harðmaeli), the north-eastern variant post-aspiration + voiced pronunciation, and the southern hv-variant. For descriptions of Icelandic pronunciation variants, see the respective documents `IPA_Pronunciation.pdf` or `SAMPA_Pronunciation.pdf` (the documents have identical content but the former describes the matter using the IPA phonetic alphabet and the latter uses the SAMPA phonetic alphabet).The file `sampa_ipa_single.tsv` contains the set of SAMPA symbols used in the dictionaries and their mappings to IPA on the one hand and on a custom developed single-character alphabet developed for use in speech synthesis.The repository contains training and test data, both for the training and testing of g2p models, and for the testing of automatic syllabification and stress labeling algorithms.The project is funded by the Icelandic Government as a part of the Language Technology Programme for Icelandic 2019–2023 which is described in the following publication:Anna Bjork Nikulasdottir, Jon Guðnason, Anton Karl Ingason, Hrafn Loftsson, Eirikur Rognvaldsson, Einar Freyr Sigurðsson, Steinþor Steingrimsson. 2020. Language Technology Programme for Icelandic 2019–2023. Proceedings of LREC 2020 (https://arxiv.org/pdf/2003.09244.pdf)Islensk framburðarorðabok inniheldur handyfirfarnar hljoðritanir i fjorum framburðartilbrigðum islensku: það sem kalla ma hefðbundinn framburð, norðlenskt harðmaeli, harðmaeli + raddaðan framburð sem einkennandi er fyrir norð-austurland, og sunnlenskan hv-framburð. Nanari lýsingar a framburði og framburðartilbrigðum i islensku er að finna i skjolunum `IPA_Pronunciation.pdf` eða `SAMPA_Pronunciation.pdf` (þessi skjol eru eins að ollu leyti, nema að fyrra skjalið notar IPA-hljoðritunarstafrofið en það seinna SAMPA-stafrofið til þess að lýsa framburði).Skjalið `sampa_ipa_single.tsv` inniheldur lista SAMPA hljoðritunartakna sem notuð eru i orðabokinni og varpanir yfir a takn i IPA annars vegar og yfir a nýtt stafrof hins vegar, þar sem hvert hljoð er alltaf taknað með einum bokstaf/tolustaf, en slikt stafrof getur nýst vel i end-to-end talgervingu.Hirslan inniheldur einnig þjalfunar- og profunargogn fyrir þjalfun grapheme-to-phoneme (g2p) likana, sem og profunarsett fyrir sjalfvirka atkvaeðaskiptingu og aherslumerkingar.Verkefnið er hluti af Maltaekniaaetlun fyrir islensku 2019-2023.Anna Bjork Nikulasdottir, Jon Guðnason, Anton Karl Ingason, Hrafn Loftsson, Eirikur Rognvaldsson, Einar Freyr Sigurðsson, Steinþor Steingrimsson. 2020. Language Technology Programme for Icelandic 2019–2023. Proceedings of LREC 2020 (https://arxiv.org/pdf/2003.09244.pdf)
Use of Learning Video Media to Improve Learning Achievement Theme 4 Sub-theme 1 Learning 2 For Grade 4 Students SD Negeri 2 Sendangmulyo, Tirtomoyo District, Wonogiri Regency

Learning Theme 4 Sub-theme 1 Learning 2 For Class 4 Students SD Negeri 2 Sendangmulyo has not met expectations because of the low student achievement. This research is a classroom action research conducted on Theme 4 Sub-theme 1 Learning 2 for Grade 4 Students SD Negeri 2 Sendangmulyo. In this study, it is based on the average value of Theme 4 Sub-theme 1 Learning 2 for Grade 4 students. The low score indicates that the students' learning achievement in Theme 4 Sub-theme 1 Learning 2 is still low. The low learning achievement of students is because the teacher has not used learning media that is able to attract students' interest. To attract students, teachers use instructional video media. This research was conducted for 2 months starting from October to November 2020 for two cycles. Based on the results of the study, it was concluded that the instructional video media improved the learning achievement of students in learning Theme 4 Sub-theme 1 Learning 2 Class 4 SD Negeri 2 Sendangmulyo. The learning achievement of students from pre-cycle, cycle I and cycle II there was an increase which was seen from the average value of students in the pre-cycle 64.28 and in the first cycle it increased to 78.58 while in the second cycle it became 88.57. So that learning activities have been completed as a whole.
CNN Based Image Forgery Detection Using Pre-trained AlexNet Model

Image forgery detection is an approach for detection and localization of forged component from a manipulated image. To find manipulation or tampering in the original image, an adequate number of features are required to classify the given image is either a forged or non-forged. To achieve this convolutional neural network (CNN) based pre-trained AlexNet model's deep features have been utilized which are efficient and effective, as compared to the existing state-of-the-art approaches on publicly available benchmark dataset MICC-F220. The experiment result shows that the proposed approach using a pre-trained AlexNet model based deep features with Support Vector Machine (SVM) classifier has achieved 93.94% accuracy.
Impact of mines and thar desert on the distribution of major oxides in the soils of khetri copper mine region

The present study was carried out to assess distribution of major oxides in the soil of Khetri Copper Mine region which lies in close proximity to Aravalli Ranges and the Thar Desert. Major oxide geochemistry of soil shows similarity with both parent rock and the loess of the Thar Desert soil. Wide variation in Loss on Ignition (LOI) indicates the presence of different types of soils such as sediments and aeolian in the region. Average FeO content is found to be higher compared to Upper Continental Crust (UCC) and the World Average Shale (WAS), indicating the abundance of either pyrite or an pyrrhotite or an impact of mine activity. A-CN-K diagram has confirmed the close resemblance of soils with WAS and loess. A-CNK-FM indicates the presence of both felsic and mafic rocks in the region. Negative correlation of SiO2 with Al2O3, P2O5, TiO2, FeO and MnO confirms the origin of soils due to weathering of the parent rock. Calculated weathering indices such as the chemical index of alteration (CIA) and chemical index of weathering (CIW) indicate moderate weathering in the region compared to UCC. The study confirms significant impact of mines and the Thar Desert as well on the distribution of major oxides in this semi-arid region.
On the issue of socialization of eduction under late capitalism

The article substantiates the need for socialization of education at the stage of late capitalism and the transition to a new quality of economy and society – noonomy. The social failure of the neoliberal socio-economic policy of the state led to the desocialization of the economy and the marketization of the social sphere. The marketization of education has resulted in regressive trends – commercialization, bureaucratization and managerialism. Qualitative changes in the economy and society associated with the transition to a new technological order and the creative revolution relate not only to the industry, but also directly to the individual and the essence of his work. This requires an accessible education for all and through life. This requires the socialization of education and its transformation towards an egalitarian model.
Investigation of High Dynamic Range Image Registration Algorithm

Dynamic imaging technology has a wide range of applications. High dynamic image (HDR) can obtain better realism and has irreplaceable advantages over traditional image. Compared with the hardware implementation, the software algorithm using multiple photos with different exposures has the advantages of simpler and lower cost. However, multiple images are prone to different degrees of displacement, which requires image registration technology for image registration. The main contents of this paper are image registration related technology, image synthesis, camera response function fitting, color synthesis and so on. The core problem is to study image registration technology, including mean binarization (MTB). This is an important link in the process of HDR image synthesis and has important practical significance.
Validation of anomalous concentration of ree and other associated elements in geochemical data of stream sediments inandaround kevdi and tarvaria areas, panchmahals and Vadodara District, Gujarat

Collection of stream sediment samples in a systematic grid pattern and their precise geochemical analysis, evaluation and interpretation are one of the most cost effective and quick methods to identify inhomogeneity in an area. Anomalous concentration of elements could be utilized for achieving multi-disciplinary objectives including targeting of mineral deposits. 136 stream sediment samples were collected and analyzed for 49 elements/oxides including REE. Correlation among the elements and elemental dispersion in the study area reveal significant anomalous concentration of REE's in stream sediment samples and exhibits an overall U-Th-Pb-TREE association. These anomalous concentrations corroborate well with gamma radiation data recorded in the field using scintillometer coupled with identification of monazite and xenotime by XRD studies of heavy minerals. Petrographic, EPMA studies and geochemistry of the underlying rocks were carried out to validate the anomalous concentration of REE and associated elements. Presence of monazite and xenotime, identified in XRD analysis was confirmed by EPMA study. In addition allanite, thorite and synchesite were also identified in EPMA study within the variant of granite exposed in the south-eastern and north-western parts of the study area near Kevdi and Tarwaria respectively.