Reviewerly/exHarmony huggingface dataset:
Research on the Used Car System Based on Blockchain and Cryptographic Technology

Different countries have different issues with related to topic of used car in all of world, and used car issues involve very wide range of fields, such as environmental protection, market economy, sales services, information systems, regulations and policies, components, materials, and logistics so on. In this study the authors would like to propose a scheme of used car transaction information system from perspective of mathematical modelling. We introduce the concept of a third party appraiser as an arbitrator between buyers and sellers in this solution. In order to avoid collusion between third parties and sellers, the blockchain and cryptography technology be used to prevent collusion and ensure fair and just transactions.
Text Simplification of College Admissions Instructions: A Professionally Simplified and Verified Corpus

Access to higher education is critical for minority populations and emergent bilingual students. However, the language used by higher education institutions to communicate with prospective students is often too complex; concretely, many institutions in the US publish admissions application instructions far above the average reading level of a typical high school graduate, often near the 13th or 14th grade level. This leads to an unnecessary barrier between students and access to higher education. This work aims to tackle this challenge via text simplification. We present PSAT (Professionally Simplified Admissions Texts), a dataset with 112 admissions instructions randomly selected from higher education institutions across the US. These texts are then professionally simplified, and verified and accepted by subject-matter experts who are full-time employees in admissions offices at various institutions. Additionally, PSAT comes with manual alignments of 1,883 original-simplified sentence pairs. The result is a first-of-its-kind corpus for the evaluation and fine-tuning of text simplification systems in a high-stakes genre distinct from existing simplification resources.
Avoiding Pragmatic Oddity: A Bottom-up Defeasible Deontic Logic

This paper presents an extension of Defeasible Deontic Logic to deal with the Pragmatic Oddity problem. The logic applies three general principles: (1) the Pragmatic Oddity problem must be solved within a general logical treatment of CTD reasoning; (2) non-monotonic methods must be adopted to handle CTD reasoning; (3) logical models of CTD reasoning must be computationally feasible and, if possible, efficient. The proposed extension of Defeasible Deontic Logic elaborates a preliminary version of the model proposed by Governatori and Rotolo (2019). The previous solution was based on particular characteristics of the (constructive, top-down) proof theory of the logic. However, that method introduces some degree of non-determinism. To avoid the problem, we provide a bottom-up characterisation of the logic. The new characterisation offers insights for the efficient implementation of the logic and allows us to establish the computational complexity of the problem.
Evaluating the (in)accessibility of data behind papers in astronomy

This paper presents results of a survey of authors of journal articles published over several decades in astronomy. The study focuses on determining the characteristics and accessibility of data behind papers, referring to the spectrum of raw and derived data that would be needed to validate the results of a particular published article as a capsule of scientific knowledge. Curating the data behind papers can arguably lead to new discoveries through reuse. However, as shown through related research and confirmed by the results of the present study, a fully accessible portrait of the data behind papers is often unavailable. These findings have implications for reusability efforts and are presented alongside a discussion of open science.
Affinity-VAE for disentanglement, clustering and classification of objects in multidimensional image data

In this work we present affinity-VAE: a framework for automatic clustering and classification of objects in multidimensional image data based on their similarity. The method expands on the concept of $\beta$-VAEs with an informed similarity-based loss component driven by an affinity matrix. The affinity-VAE is able to create rotationally-invariant, morphologically homogeneous clusters in the latent representation, with improved cluster separation compared with a standard $\beta$-VAE. We explore the extent of latent disentanglement and continuity of the latent spaces on both 2D and 3D image data, including simulated biological electron cryo-tomography (cryo-ET) volumes as an example of a scientific application.
Implementing the ICE Estimator in Multilayer Perceptron Classifiers

This paper describes the techniques used to implement the ICE estimator for a multilayer perceptron model, and reviews the performance of the resulting models. The ICE estimator is implemented in the Apache Spark MultilayerPerceptronClassifier, and shown in cross-validation to outperform the stock MultilayerPerceptronClassifier that uses unadjusted MLE (cross-entropy) loss. The resulting models have identical runtime performance, and similar fitting performance to the stock MLP implementations. Additionally, this approach requires no hyper-parameters, and is therefore viable as a drop-in replacement for cross-entropy optimizing multilayer perceptron classifiers wherever overfitting may be a concern.
TetraPackNet: Four-Corner-Based Object Detection in Logistics Use-Cases

While common image object detection tasks focus on bounding boxes or segmentation masks as object representations, we consider the problem of finding objects based on four arbitrary vertices. We propose a novel model, named TetraPackNet, to tackle this problem. TetraPackNet is based on CornerNet and uses similar algorithms and ideas. It is designated for applications requiring high-accuracy detection of regularly shaped objects, which is the case in the logistics use-case of packaging structure recognition. We evaluate our model on our specific real-world dataset for this use-case. Baselined against a previous solution, consisting of a Mask R-CNN model and suitable post-processing steps, TetraPackNet achieves superior results (9% higher in accuracy) in the sub-task of four-corner based transport unit side detection.
Child Culture and Contemporary Challenges Using Digital Scientific Communication Sites

The objectives of the research focus on defining the sources of deriving the childs culture and social upbringing with the intention of determining the characteristics of the childs culture determining the main foctors in the type of child socialization,and clarifying the most important foctors that help in changing the culture of society on children and contemporary challenges using digitalscientific communication sites with an explanation of the childs psychological growth in eriksons theory and its impact on child cuilure .and clarify the reasons that prevent the child and culture with a focus on the contemporary challenges of the childs culture . The research delegation came out with a number of conclusions which were . The most important climatesand the most influential on academic achievement is the family community climate ,so that the level of family culture , its capabilities and its ability to help the child in his academic achievement , as well as the availability the family climate predisposing to achievement and based on positive interactions between the child ,his parents and his siblings , as well as the care and positive familial orientation of the children are all conditions and factors whose exisitence leads to the achievement of Encouraging children to use digital scientific communication sites, which is the most important challenge facing educationl instituttions in developing countries , which confirms the need to employ e- learning and e- teaching to develop the educational performance of the child if the studies confirm that modem technology is not necessarily the cure for all problems . In light of the conclusions that the research came out with, we recommend the following . 1-taking into account the similarities and differences between children ,developing their comparative skills , classification and dialogue , and the importance of following up on their use of digital scientific communication sites . 2-summarizing and taking notes , summarizing the main ideas that focus on analyzing informationand thus enhancing childrens , understanding of the curriculum content using the most important modem technologies
Goodness of Pronunciation Pipelines for OOV Problem

In the following report we propose pipelines for Goodness of Pronunciation (GoP) computation solving OOV problem at testing time using Vocab/Lexicon expansion techniques. The pipeline uses different components of ASR system to quantify accent and automatically evaluate them as scores. We use the posteriors of an ASR model trained on native English speech, along with the phone level boundaries to obtain phone level pronunciation scores. We used this as a baseline pipeline and implemented methods to remove UNK and SPN phonemes in the GoP output by building three pipelines. The Online, Offline and Hybrid pipeline which returns the scores but also can prevent unknown words in the final output. The Online method is based per utterance, Offline method pre-incorporates a set of OOV words for a given data set and the Hybrid method combines the above two ideas to expand the lexicon as well work per utterance. We further provide utilities such as the Phoneme to posterior mappings, GoP scores of each utterance as a vector, and Word boundaries used in the GoP pipeline for use in future research.
Understanding of P vs NP Problem: With Extension of the Continuum Hypothesis

P vs NP problem turns out to be P=NP in quantum computing but remains questions of optimization in classical computing.
Data Amplification for Bearing Remaining Useful Life Prediction Based on Generative Adversarial Network

To deal with the difficulty in bearing remaining useful life prediction caused by the lack of history data, a data amplification method based on the generative adversarial network (GAN) is proposed in this paper, and the parameters of generator and discriminator in the GAN are determined by grid search algorithm. The proposed method is verified by the XJTU-SY bearing data sets from Xi’an Jiaotong University. First, 15 time-domain features related to the bearing life are extracted as the training data of the GAN to generate virtual data that can be used to build bearing life prediction models. Then, support vector regression and the radial basis function neural network are used to construct the bearing prognostic model based on real data, generated data, and mixed data. The results show that the proposed method can make up for the deficiency of data and improve the accuracy of bearing remaining useful life prediction.
PENERAPAN METODE AHP UNTUK PEMILIHAN TOKO ONLINE TAS WANITA PADA PLATFORM SHOPEE

Abstract: Today shopping online for daily needs has become a culture for some of our society, especially with the Covid-19 pandemic condition that has been going on for a long time, making us to do more activities at home. This has increased the interest in online shopping, especially for women who like to shop, making online stores an alternative to still being able to shop. With conditions like this, many new online shops or online stores that come from these non-online stores have joined in an e-commerce platform. As online stores increase, the competition among online stores are getting tighter and a little bit confusing for consumers to determine which online store to shop for. We need a decision support system that can help assess and compare one store with another. Researchers will use the AHP (Analytic Hierarchy Process) method that works based on a hierarchical structure in determining criteria using the Multi-criteria Decision Making (MCDM) concept that utilizes the results obtained from eigenvectors through iterations to minimize differences in the assessments of a number of respondents. The results will prove that the decision support system for choosing a trustworthy online shop for women's bags is appropriate based on the dimensions of online store satisfaction. The results of this study will be obtained which online shop for women's bags that are selected or in demand for online shopping transactions.&#x0D; &#x0D; Keywords: Analytical hierarchy process (AHP), e-commerce, eigenvector, decision support system, online shop&#x0D;
PERANCANAGAN APLIKASI ACCOUNT PAYABLE SUBSIDIARY DENGAN PEDEKATAN MODEL PHASED DEVELOPMENT

In this era of technological development, a lot of stored information requires applications that can support all activities, effectively and efficiently, but not many companies have implemented the application as a whole. one of which is Amaris Hotel Cilegon which has not used applications for recording purchases, receipts and controlling debts. Debt data processing still uses spreadsheets which are prone to various problems. Therefore, this study aims to analyze work activities by looking at the system that is running at Amaris hotel Cilegon. The data on this study was collected using literature study methods and field studies to get accurate data results. Application creation uses native PHP language programming, with MySQL database and Class Bootstrap as a framework interface, while in the design of application system development the method used is the RAD method with Phased Development Model. In this study, the author designed and developed the Account Payable Subsidiary application that can provide the company's debt control features at any time, record-keeping relationships with payable accounts and performed only one process in the recording process receiving, to produce output in the form of values listed in receiving journals and payable account journals and can be directly used as the basis for making financial statements by Bookkeeper Accounting Supervisor.
PERANCANGAN APLIKASI ARSIP DIGITAL DI KONI KOTA SERANG

The purpose of this research is to analyze and provide input to KONI Serang City which is currently still using conventional methods in managing documentation of various letters. Office documents almost every day in and out of an agency, both incoming letters and other letters related to disposition and reporting to an agency. To store these documents, we need an application that is able to manage each of these documents so that they can be easily retrieved and can be reused. As time goes by, more and more documents are stored or archived, of course, it will take up more space and make it difficult to search when needed again. In addition, archiving documents with printed files will get damaged over time, therefore this really needs more serious attention considering that every document is very important and valuable. Archival documents that have been piled up. One solution to overcome the problems above is to design a digital archive system, where with this digital system every document will be archived properly and safely and make it easier to search when needed again, besides that it will save space and time. The research methods used include data collection methods by interview, observation and literature study, the approach method used is structured, namely the system development method using the waterfall model. After conducting analysis, design and testing, it is concluded that with this system mail management is better, simplifying the process of managing each document so that there is no more delayed reporting or information.
MODEL IMPLEMENTASI LOGIKA FUZZY UNTUK PENILAIAN KINERJA KARYAWAN IT SUPPORT

Human resources are the most valuable asset in a company. Employee performance is one of the company's benchmarks in assessing the productivity of these assets. Methods in measuring employee performance can be done in various forms, one of which is using the fuzzy logic method. Fuzzy Mamdani is a fuzzy inference method that provides rules that must be passed before carrying out the process of determining the final value. There are three main criteria that will be analyzed in this study, namely attendance, quality of work and communication. Each of these criteria has a value obtained from the average value of several elements. The final result after going through the employee data analysis process is the average weighted value. Conclusions that can be drawn as the basis for employee performance and the results can be seen from the order of values, starting from the highest to the lowest. MATLAB or what we call it (Matrix Laboratory) is a program for analyzing and computing numerical data, and MATLAB is also an advanced mathematical programming language, which was formed on the premise of using the properties and forms of matrices. Graphical User Interface (GUI) is a visual media that makes users give certain commands on the computer without typing the command, but using the available images.
ANALISIS SENTIMEN APLIKASI JASA KURIR DI PLAY STORE MENGGUNAKAN ALGORITMA NAIVE BAYES

Along with the passage of sales through the marketplace. The courier service industry has also experienced an increase. There are many choices of courier services to choose from, each courier service has different qualities depending on how the service provided by the courier service to customers. To find out the quality of courier services, this research was carried out, this research was conducted on courier service applications on Playstore, usually the best application predicate is for applications with a high number of downloads and ratings, while comments from users must also be considered to get results which is relevant. In this study, the Naïve Bayes algorithm is used because it has a high level of accuracy to determine the best courier service application. Based on the research that has been done, the highest accuracy value is obtained by the JNT application of 100% but has a positive sentiment of 50 reviews. The two JNE applications with an accuracy value of 98% with a positive sentiment of 46 reviews, the three ninjaxpres applications with an accuracy value of 97.87% with a positive sentiment of 49 reviews, the fourth by the Sicepat application with an accuracy value of 97.85% with a positive sentiment of 47 reviews and finally by the Idexpress application with an accuracy value of 94% with a positive sentiment of 49 reviews.
Access Control Model Scheme based on Policy Grading in Natural Language Processing Blockchain Environment

In order to solve many problems such as secure storage of access policies and distrust of third parties in complex and dynamic big data environment, a hierarchical access control model under block chain environment (BP-ABAC) is proposed. Access control policies are stored in blockchain in the form of smart contracts, and access control policies are classified in contract design. Users can obtain the access permission of the corresponding policy set according to the rating evaluation. Access to a resource is obtained when the request attribute matches the policy in the policy set. The simulation results show that the model can grant corresponding access control permissions according to different users’ access requests, improve the time efficiency and accuracy of the access control process, and improve the security and privacy of the storage of access policies and the interaction of data sharing.
Dynamic Budget Management of Rural Public Affairs Based on Internet of Things Technology

In order to improve the budget management of rural public affairs, this paper combines the Internet of things technology to construct an information processing system that can be used for dynamic budget management of rural public affairs and optimizes the internal resource processing process of the system. In order to overcome the constraints and differences of resource QoS attributes and ensure that the QoS attribute values of candidate resources are within the user’s expectations, this paper introduces penalty factors and grey incidence matrix to analyze the gap between resource QoS attribute values, and calculates the similarity between matching resources and user-requested resources. In addition, this paper combines the dynamic budget requirements of rural public affairs to construct system function modules. Finally, this paper evaluates the Internet of Things data transmission and rural public affairs dynamic budget management effects of the system constructed in this paper, and conducts simulation research based on the data collected by the network. From the experimental research, we can see that the dynamic budget management system of public affairs based on the Internet of things technology constructed in this paper has good results.
A Large Scale Randomized Controlled Trial on Herding in Peer-Review Discussions

Peer review is the backbone of academia and humans constitute a cornerstone of this process, being responsible for reviewing papers and making the final acceptance/rejection decisions. Given that human decision making is known to be susceptible to various cognitive biases, it is important to understand which (if any) biases are present in the peer-review process and design the pipeline such that the impact of these biases is minimized. In this work, we focus on the dynamics of between-reviewers discussions and investigate the presence of herding behaviour therein. In that, we aim to understand whether reviewers and more senior decision makers get disproportionately influenced by the first argument presented in the discussion when (in case of reviewers) they form an independent opinion about the paper before discussing it with others. Specifically, in conjunction with the review process of ICML 2020 -- a large, top tier machine learning conference -- we design and execute a randomized controlled trial with the goal of testing for the conditional causal effect of the discussion initiator's opinion on the outcome of a paper.
The bodyless sound and the re-embodied sound: an expansion of the sonic body of the instrument

The development of recording technologies, audio manipulation techniques, and sound synthesis opened new sonic horizons. At the same time, realising or reproducing these new sounds creates issues of disembodiment and/or a total lack of physical-gesture-to-audio relationship. Understanding the impact these issues have on our perception and comprehension of music becomes central in the light of new creative practices, in which developing hardware and software has become part of the creative process. These creative practices force us to re-think the role of performance and the medium (musical instruments) in the essence of the musical work. Building upon previous research, a set of possible configurations for hyperinstrument design is presented in this article with the aim to introduce novel ways of thinking about the relationship of the physical body of the instrument (resonant body), the sonic body (the acoustic phenomena unfolding in a physical space), and performance.
Instruments that are more than instruments (and other stories)

Partly auto-ethnography, partly explanatory research, and partly an exercise in nontypical academic writing, this treatise focuses on music/multimedia instruments (and making paradigms thereof) that celebrate a more or less radical re-thinking of instrument-hood. ’Stories' of a sort are recounted so as to demonstrate the breadth of the many different (fascinating) ways in which instruments can be indeed much more than what the dominant hylonoetic view suggest. Instruments are discussed in broad thematic sections, raising common concerns and outlining related research veins. The author touches upon a surfacing opposition between hylonoetic and morphogenic perspectives and examines affairs of post or ‘hyper’ optimality in DIY making (recounting one last ‘story’). This treatise concludes with sketches for future work — for playful creative explorations and prospective instruments (that are intended to be ‘more than instruments’).
1st Indian Quaternary Congress (IQC)– 2022 Organized by the Association of Quaternary Researchers (AoQR)

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