Reviewerly/exHarmony huggingface dataset:
High Performance Optical Reservoir Computing Based on Spatially Extended Systems

Our work targets efficient (high speed and low power) analogue photonic computing systems based on the concept of reservoir computing (RC) [1,2]. This framework allows to exploit the transient dynamics of a nonlinear dynamical system for performing useful computations. Many photonic implementations have been realized [3], and relevant examples are discussed in Refs [4,5]. In this work we consider a reservoir consisting of a spatially extended non-linear photonic system with diffusive coupling between the different regions. The optical field in these regions represent the internal variables of the reservoir (i.e. neurons). Here we present numerical results on an optical fiber ring cavity as shown in Fig. 1 (left), which is a suitable platform to study spatially parallel reservoir computing with 1 spatial dimension.
Privacy Preserving Count Statistics

The ability to preserve user privacy and anonymity is important. One of the safest ways to maintain privacy is to avoid storing personally identifiable information (PII), which poses a challenge for maintaining useful user statistics. Probabilistic counting has been used to find the cardinality of a multiset when precise counting is too resource intensive. In this paper, probabilistic counting is used as an anonymization technique that provides a reliable estimate of the number of unique users. We extend previous work in probabilistic counting by considering its use for preserving user anonymity, developing application guidelines and including hash collisions in the estimate. Our work complements previous method by attempting to explore the causes of the deviation of uncorrected estimate from the real value. The experimental results show that if the proper register size is used, collision compensation provides estimates are as good as, if not better than, the original probabilistic counting. We develop a new anonymity metric to precisely quantify the degree of anonymity the algorithm provides.
Dynamic Monitoring of Product Opportunities with Online Product Review Data

Improvements of a product can be carried out in accordance with customer requirements for the product, and thus it is necessary for product-based firms to identify product topics customers currently discuss and transform the topics into product opportunities. Despite social media mining studies for product opportunities, they have limitations in monitoring product topics and prioritizing them from dynamic aspects. Therefore, this paper suggests a social media mining-based dynamic product opportunity identification approach, which consists of 1) collecting large-scale online product review data of a product and extracting product-related keywords from them, 2) recognizing common product topics customers interested in through topic modeling, 3) calculating indicators, such as importance, satisfaction and growth, over time for the identified topics, and 4) employing TOPSIS to monitor and prioritize changing product topics. To demonstrate the applicability of the approach, this study carries out a case study with iPad product review data. This study tracks dynamically evolving product opportunities to help set future improvement directions of a product and accordingly enables product-based firms to quickly cope with changing customer needs for their product.
Deteksi Area Wajah Manusia Pada Citra Berwarna Berbasis Segmentasi Warna YCbCr dan Operasi Morfologi Citra

Face detection is one of the most important preprocessing steps in facial recognition systems used in biometric identification. Face detection is used to determine the location, size and number of faces in an image or video in various positions and backgrounds. One method used in face detection systems is segmentation based on skin color. In this study YCbCr skin color segmentation method and morphological operations were used. Based on the results of experiments conducted on 38 images, the system obtained an accuracy of 63.15%
Another characterization of no-iteration distributive laws

We provide a characterization of no-iteration distributive laws in terms of its monads in extensive form only. To do that, it is necessary to take account of both right and left extension systems. We also give, in this right-left perspective, characterizations of the 1-cells and 2-cells in $\mathbf{EM}(K)$ and $\mathbf{Kl}(K)$.
Reconstruction and Resumptive Pronouns in Cairene Arabic

Author(s): Booth, Madeleine | Advisor(s): Rett, Jessica | Abstract: Mandatory resumptive pronouns (RPs) have been argued not to have any effect on the reconstruction of a relative clause (RC) head (Sichel 2014). I tested this hypothesis on Cairene Arabic RCs, which have a mandatory RP in the direct object (DO) position. RC heads involving idiom chunks and bound anaphors have been argued to require reconstruction, while heads involving bound variables may require either reconstruction or a functional trace/RP (Hulsey and Sauerland 2006, Sharvit 1999). I found that there was no reconstruction to the DO position for anaphor binding or idiom interpretation, but that a bound variable reading was possible. I argue that while mandatory RPs in Cairene Arabic either block reconstruction or there is no reconstruction at all, the mandatory RP can be functional, and this functional denotation allows for a bound variable reading. This supports the hypothesis that mandatory RPs have an effect on the interpretation of RCs.
Tomography of Quantum Dots in a Non-Hermitian Photonic Chip

Quantum optical information systems offer the potential for secure communication and fast quantum computation. To fully characterise a quantum optical system one has to use quantum tomography [1]. Integration of quantum optics onto photonic chips provides advantages such as miniaturisation and stability, and also significantly improves quantum tomography using both re-configurable [2], and more recently, simpler static designs [3,4]. These on-chip designs have, so far, only used probabilistic single photon sources. Here we are working towards quantum tomography using a true deterministic source - a quantum dot. The scheme of the proposed experiment is shown in Fig. 1A. So far we have fabricated and characterised the performance of an InGaAs quantum dot monolithically integrated into a microlens [5], and completed the design, fabrication and classical characterisation of a photonic chip for quantum tomography.
A Review: A Survey on Privacy Preserving for Secure Cloud Storage

Cloud computing technology provides millions of on demand services to its users on internet ranging from infrastructure, software to storage as a service on cloud.Storage service allows its users to outsource large amount of data without directly controlling it and cloud running on the principle of virtually shared servers do not provide users with the storage location.Therefore, various measures can be adopted for maintaining data integrity, security while entering data in cloud.So here, we are having open audit-ability for distributed storage that shoppers will rely on an outsider examiner (TPA) to test the trait of knowledge.This paper offers the problems known with security whereas golf shot away the client's data to the distributed storage amid the examining.During this paper we'll examine totally different systems to fathom these problems to present protection and security of cloud data.There's lots of analysis being created to identify problems associated CSPs and security.
Joint Learning of Word and Label Embeddings for Sequence Labelling in Spoken Language Understanding

We propose an architecture to jointly learn word and label embeddings for slot filling in spoken language understanding. The proposed approach encodes labels using a combination of word embeddings and straightforward word-label association from the training data. Compared to the state-of-the-art methods, our approach does not require label embeddings as part of the input and therefore lends itself nicely to a wide range of model architectures. In addition, our architecture computes contextual distances between words and labels to avoid adding contextual windows, thus reducing memory footprint. We validate the approach on established spoken dialogue datasets and show that it can achieve state-of-the-art performance with much fewer trainable parameters.
Peningkatan Kemampuan Membaca Aksara Jawa Melalui Game Pada Siswa Kelas III SD Negeri Kartasura 1

The Javanese alphabet is one of the priceless cultural relics. The alphabet is known as Hanacaraka and Carakan. The Javanese alphabet is still difficult for students to understand and makes students passive in the learning process. This makes students' low skills in reading and writing the Javanese alphabet. Based on the results of observations made in Elementary school 1 of Kartasura, the media used during the learning process were in the form of textbooks and still using the lecture method. Therefore this study aims to improve the ability to read Javanese alphabet through games for third-grade students of Elementary school 1 of Kartasura, validity the game and compare student learning outcomes before and after using a game-based learning media application. The method used in this research is Research and Development using the ADDIE (Analysis-Design-Development-Implementation-Evaluation). The results of the assessment of media tests on aspects of efficiency, appearance, technique, and software get high average values so that of the four aspects are included in the very feasible category. The average value before using an educational game-based learning media application is sufficient, whereas after using an educational game the student's score becomes high. The average value before using the media is quite enough, while after using the media is high. It can be concluded that by using this game-based learning media the students' grades increased.
소기업 CEO의 변혁적 리더십이 직원의 혁신행동에 미치는 영향

Purpose: Despite the fact that the majority of domestic firms are small in size, there have been few studies conducted to understand the leadership effectiveness of small firm CEOs. Based on the upper echelon theory, this study attempts to demonstrate empirically that transformational leadership of small firm CEOs can increase the innovative behavior of employees. In addition, the present study examines mediating effects of CEO trust perceived by employees when transformational leadership affects employees’ innovative behavior.Methods: The survey data of CEOs’ transformational leadership, innovative behavior of employees, and perceived CEO trust were collected from 176 employees working in domestic small firms. Hierarchical regression analyses were performed to examine the main effects between transformation leadership and innovative behavior and mediating effects of CEO trust perceived by employees.Results: The results show that CEOs’ transformational leadership is significantly related to the innovative behavior of employees in the current sample. Results also indicate that CEO trust perceived by employees reveals a mediating effect in the process of transformational leadership affecting innovative behavior.Conclusion: The results show that as suggested by the upper echelon theory, the leadership of small firm CEOs can have a significant impact on positive job-related behaviors and attitudes of employees. The results also contribute to expand on the understanding of the relationship between transformational leadership and innovative behavior by explaining that transformational leadership can mediate trust in CEOs in enhancing employees’ innovative behavior. Theoretical and practical implications are reviewed, and limitations of the study and suggestions for future research are addressed.
A Method for TV Channel Package Generation using Artificial Intelligence

Cable TV forms the backbone of the broadcasting distribution industry in India. Because of large number of TV Channels and due to problems of then analogue system, Govt. of India introduced the concept of Digitization and later on, Telecom Regulatory Authority of India(TRAI) advocated the Pay Per Channel concept in the favour of Consumers and made it compulsory for D2H service provider for implementation. But later to the implementation of the concept, it became an extremely cumbersome process for consumers to select TV Channels and packages that suit their own or family needs and again fit into their budget at the same time. This Paper introduces a new methodology for generating TV Channels/packages using Genetic Algorithm and Fuzzy Logic (Popular Branches of Artificial Intelligence).
Review of The Stuff of Thought by Steven Pinker (2008) (review revised 2019)

I start with some famous comments by the philosopher (psychologist) Ludwig Wittgenstein because Pinker shares with most people (due to the default settings of our evolved innate psychology) certain prejudices about the functioning of the mind, and because Wittgenstein offers unique and profound insights into the workings of language, thought and reality (which he viewed as more or less coextensive) not found anywhere else. There is only one reference to Wittgenstein in this volume, which is most unfortunate considering that he was the most brilliant and original analyst of language.In the last chapter, using the famous metaphor of Plato’s cave, he beautifully summarizes the book with an overview of how the mind (language, thought, intentional psychology) –a product of blind selfishness, moderated only slightly by automated altruism for close relatives carrying copies of our genes (Inclusive Fitness)--works automatically, but tries to end on an upbeat note by giving us hope that we can nevertheless employ its vast capabilities to cooperate and make the world a decent place to live.Pinker is certainly aware of but says little about the fact that far more about our psychology is left out than included. Among windows into human nature that are left out or given minimal attention are math and geometry, music and sounds, images, events and causality, ontology (classes of things or what we know), most of epistemology (how we know), dispositions (believing, thinking, judging, intending etc.) and the rest of intentional psychology of action, neurotransmitters and entheogens, spiritual states (e.g, satori and enlightenment, brain stimulation and recording, brain damage and behavioral deficits and disorders, games and sports, decision theory (incl. game theory and behavioral economics), animal behavior (very little language but a billion years of shared genetics). Many books have been written about each of these areas of intentional psychology. The data in this book are descriptions, not explanations that show why our brains do it this way or how it is done. How do we know to use the sentences in their various way (i.e., know all their meanings)? This is evolutionary psychology that operates at a more basic level –the level where Wittgenstein is most active. And there is scant attention to the context in which words are used = an arena which Wittgenstein pioneered.Nevertheless, this is a classic work and with these cautions is still well worth reading.
A Multi-Group Analysis of the Effect of Organizational Commitment on Higher Education Services Quality

Service organizations dependent on human interaction to deliver services to the customer. Hence, delivering the required level of service quality determined by employee and customer interaction through service encounter. Throughout crucial service encounter between employee and customer, it is employee’s willingness to involve in discretionary effort that influences the level of service quality that delivered to the customer (Zeithaml, Parasuraman, & Berry, 1990; Boulding, Kalra, Staelin and Zeithaml, 1993; Malhotra & Mukherjee, 2004; Chand, 2010; Tsaur and Lin, 2004; Sarkey, Turkson and Ansah, 2013; Lariviere, 2017), Which mean organizations services will face more difficulties to delivering the desirable level of service quality to their customers when their frontline employees uncommitted and dissatisfied or not happy (Zeithaml, Berryand Parasuraman, 1996; Al-Refaei and Zumrah, 2019a), or unwilling to exert any additional effort to benefit there organization (Al-Refaei and Zumrah (2019b). Furthermore delivering desirable level of service quality heavily depends on the frontline employees (Al-Refaei and Zumrah (2019b), delivered service process depends on the way that employee deal with customer. However, previous studies argued that, customers' experience considered as the key issue to understanding service quality (Schneider, Parkington and Buxton, 1980; Schneider and Bowen, 1993; Parasuraman, Zeithaml, and Berry, 1988; Schneider and Bowen, 1985; Schneider, White and Paul, 1998; Gazzoli, Hancer and Kim, 2013; Jaakkola, Helkkula and Aarikka-Stenroo, 2015). Therefore, the key to managing the customer’s experience of service quality is to manage frontline employees’ experiences within their own organization, due to employ ee experiences, attitudes and behaviors is the critical link to the customer’s perception of service quality (Parkington, and Schneider, 1979; Schneider and Bowen, 1985; Gazzoli, Hancer and Kim, 2013; Oh and Kim, 2017). Furthermore, employee perceptions of organizational practices and procedures influence customer perceptions of service quality (Schneider, Parkington and Buxton, 1980). However, customers preferring to build their perception of services quality on specific employee performance rather than on global assessments of services quality (Gould-Williams and Davies, 2005). In addition researchers such as (Alshaibani and Bakir, 2017, Liao and Chuang, 2004; Liao, Toya, Lepak and Hong, 2009; Raub and Liao, 2012) argued that customer perception of service quality directly affected by service performance of front-line employees, Therefore, previous studies did not matched customers perception of service quality to perception of employee who provide service toward organizational practices and procedures, which make the relationship between organizational practices, procedures, employee attitudes and behaviour on customer perception of service quality unclear
Segmentación morfológica para extraer un lexicón bilingüe español-náhuatl

espanolEl objetivo de este trabajo es extraer pares de traduccion a partir de un corpus paralelo pequeno, asi como medir el impacto de lidiar con la morfologia para mejorar esta tarea. Nos enfocamos en el par de lenguas espanol-nahuatl, las dos lenguas son morfologicamente ricas y tipologicamente distantes. Generamos modelos semisupervisados de segmentacion morfologica y comparamos dos enfoques (estimativo, asociativo) para extraer pares bilingues de palabras. Mostramos que tomar en cuenta las propiedades tipologicas de la lengua, como la morfologia, ayuda a contrarrestar el efecto negativo de trabajar con una lengua de bajos recursos. EnglishThe aim of this work is to extract word translation pairs from a small parallel corpus and to measure the impact of dealing with morphology for improving this task. We focus on the language pair Spanish-Nahuatl, both languages are morphologically rich and distant from each other. We generate semi-supervised morphological segmentation models and we compare two approaches (estimation, association) for extracting bilingual correspondences. We show that taking into account typological properties of the languages, such as the morphology, helps to counteract the negative effect of working with a low-resource language.
A New Three-stage Curriculum Learning Approach to Deep Network Based Liver Tumor Segmentation

Automatic segmentation of liver tumors in medical images is crucial for the computer-aided diagnosis and therapy. It is a challenging task, since the tumors are notoriously small against the background voxels. This paper proposes a new three-stage curriculum learning approach for training deep networks to tackle this small object segmentation problem. The learning in the first stage is performed on the whole input to obtain an initial deep network for tumor segmenta-tion. Then the second stage of learning focuses the strength-ening of tumor specific features by continuing training the network on the tumor patches. Finally, we retrain the net-work on the whole input in the third stage, in order that the tumor specific features and the global context can be inte-grated ideally under the segmentation objective. Benefitting from the proposed learning approach, we only need to em-ploy one single network to segment the tumors directly. We evaluated our approach on the 2017 MICCAI Liver Tumor Segmentation challenge dataset. In the experiments, our approach exhibits significant improvement compared with the commonly used cascaded counterpart.
Alphabet problems linked with learning disability in children: a cross sectional study

Background: Learning Disability (LD) is a frequently neglected entity in our set up, with the affected children being labeled as dull and worthless. The feeling of inadequacy and shame leads to psychological problems in approx. 30% of these children. These include low self-esteem, school phobia, anxiety, depression, oppositional-defiant behavior and conduct disorders. Early recognition of this disability in the primary school children and initiating appropriate remedial measures can significantly reduce morbidity. Authors objective was to study the prevalence and pattern of alphabet problems in children with learning disability.Methods: This was a cross sectional study done in the Child Guidance Clinic of a tertiary care teaching hospital in Chitradurga district, Karnataka, between January 2016 and January 2018. After obtaining informed consent from parents, children between ages 5 to 17 years, diagnosed to have learning disability, were asked to write upper and lower case alphabets in English. Alphabet problem was diagnosed if child had mixing of upper and lower case alphabets, missing of alphabets, reversals and improper sequence. Association of alphabet problems with age and sex was studied.Results: There were 293 children with learning disability, between 5-17 yr of age, attending our Child Guidance Clinic, who were assessed for alphabet problems. Alphabet problems were noted in 83.6% children. Mixing of upper and lower case alphabets was seen in 74.74%, missing of alphabets in 25.94%, reversal of alphabet in 21.50% and errors in sequencing in 12.97%. The prevalence of alphabet problems was higher in the 5-8yr age group. Prevalence of alphabet problems was more in males compared to females.Conclusions: Alphabet problems were present in a significant number of children with learning disability. Presence of alphabet problems could be used as a simple screening tool for children with learning disabilities.