Reviewerly/exHarmony huggingface dataset:
Quantum state discrimination via repeated measurements and the rule of three

Abstract The task of state discrimination for a set of mutually orthogonal pure states is trivial if one has access to the corresponding sharp (projection-valued) measurement, but what if we are restricted to an unsharp measurement? Given that any realistic measurement device will be subject to some noise, such a problem is worth considering. In this paper, we consider minimum error state discrimination for mutually orthogonal states with a noisy measurement. We show that by considering repetitions of commutative Lüders measurements on the same system we are able to increase the probability of successfully distinguishing states. In the case of binary Lüders measurements, we provide a full characterisation of the success probabilities for any number of repetitions. This leads us to identify a ‘rule of three’, where no change in probability is obtained from a second measurement but there is noticeable improvement after a third. We also provide partial results for N -valued commutative measurements where the rule of three remains, but the general pattern present in binary measurements is no longer satisfied.
Ethical Problems of Young-Adult Genre and Book Video Bloging, As Formation of a Reading Circle in Modern Youth

This paper examines the history and current state of literature for teenagers. In modern criticism young-adult genre stands out in literature for adolescents. An introductory excursion into the history of the concept of “young adults” and literature for this category of readers is given. Criticism of such works is considered by video bloggers who place their clips on Youtube platform. It is analyzed whether these responses affect the book market conditions. According to the most conservative estimates, more than half of the literature published by major publishers is Young-adult books. They are read not only by teenagers, but also by adults who want to immerse themselves in their youth. The theme of Young-adult literature is serious and multifaceted. It attracted both professional authors, whose works become real literary events, and young, non-professional authors. The study of these works is important from the point of view of studying the sociology of teenage life, to understand what young people live, what problems are reflected in such works, albeit in a crooked mirror.
Pengaruh Menonton VCD Tentang Cidera Kepala Terhadap Kepatuhan Menggunakan Helm Siswa SMK Pengendara Sepeda Motor Di Kota Surakarta

Background: Various efforts have been made to reduce the risk of head injury due to motorcycle accident. But the effort has not succeeded that looks still high head injury rate so that it enters in 10 diseases most in Surakarta. Police records, motorcycle accidents in the Surakarta region ranks the highest compared to five other Central Java areas which tend to increase. An effort to reduce the risk of head injury is to increase knowledge about head injury. Especially in the vocational school students who use motorcycles for their groups at high risk of accidents and head injuries. The study wanted to see the effect of watching videos on knowledge and compliance using helmets of motorcycling students in Surakarta. Method: The design of this study was quasi experiment using pre-post test approach on population of vocational students in Surakarta with 343 samples using a knowledge questionnaire observation and compliance observation sheets using a helmet. Research data were analyzed using Chi Square Test. Result: The results showed that there was a significant difference in knowledge of vocational students about head injuries before and after watching video. As for the helmet there are significant differences. Conclusion: Researchers suggest student knowledge about head injury and compliance using a helmet.
Human and Data-Driven Design Fictions: Entering the Near-Future Zone.

© 2019 for this paper by its authors. Use permitted under the Creative Commons License Attribution 4.0 International (CC BY 4.0): https://creativecommons.org/licenses/by/4.0/.
An Algorithm for Automatic Measurement of KI-67 Proliferation Index in Digital Images of Breast Tissue

This paper proposes an algorithm aimed at quantifying the expression of KI-67 protein in digital images of breast biopsy tissue samples obtained through an optical microscope. The algorithm allows to obtain a report on the quantity of non-proliferating and proliferating cells through the detection and quantification of KI-67. The sample analysis via software aims to reduce the level of subjectivity in the diagnosis of diseases such as breast cancer.The algorithm proposed involves the application of statistical image processing techniques, adaptive thresholds, object segmentation and color filtering.A method of analysis and quantification of overlapping cells is also proposed to improve the efficiency of the algorithm.The results of the method proposed were satisfactory, as they were highly correlated with those obtained by visual inspection by pathologists.
Rethinking context in information research : bounded versus centred sets

Context is one of the key concepts in library and information science research. This paper provides a conceptual overview of the use of the notion of usefulness in library and information science l ...
IoT Deployment & Security Aspects

IoT Internet Of Things ,everybody aware about these three words as this enters in the life of every human beings now things as of now what type of things we can expect it may be a Energised oe non energised that means everything should be able to communicate anything or anything shoud be able to communicate everything.IoT as at present is not limited to word or technology in air,its aprt of life,making life easiest in every means for everyone.as compare to next generation netork communication model that requires real time communication in IoT we require Real time decisitioning to.That why to make IoT ecosystem secure is alittle bit more and more challengeat a time.
EQS878187_Supplemental_material – Supplemental material for A domestic earthquake impact alert protocol based on the combined USGS PAGER and FEMA Hazus loss estimation systems

Supplemental material, EQS878187_Supplemental_material for A domestic earthquake impact alert protocol based on the combined USGS PAGER and FEMA Hazus loss estimation systems by David J Wald, Hope A Seligson, Jesse Rozelle, Jordan Burns, Kristin Marano, Kishor S Jaiswal, Michael Hearne and Douglas Bausch in Earthquake Spectra
On the Teaching Reform of Higher Education under the Mode of School-Enterprise Cooperation

Under the current situation of social employment, more and more enterprises and units begin to pay attention to the recruitment of skilled workers. Most enterprises prefer to choose talents with higher value and practical operation ability rather than fresh graduates with greater potential. This phenomenon directly leads to the embarrassing situation of College Students' unemployment after graduation. For this reason, this paper takes “the discussion of higher education teaching reform under the mode of school-enterprise cooperation” as the topic, and explores the main concepts and employment situation of “school-enterprise cooperation” talent training mode at the present stage in China. In view of the difficulty of college students' employment, this paper puts forward corresponding optimization measures, hoping to help college students form good employment skills and play a certain role in promoting.
How can social media become useful data source for designing for emotion?: Developing a social media inspection tool for emotion design

Emo:on-driven design inspects people’s emotional experiences in a targeted context and study the concerns behind these emo:ons. The is connected to an understanding to people’s personal experiences. Social media is playing an increasingly important role in daily life, as the technologies to do social media mining is developing, it is becoming a great database for learning about people. These data from social media is becoming a valuable dataset that is scaled, updated in every moment, and its access is being increasingly democratized. These rich data are bringing a lot of opportunities for emo:on designers to scale up research and design. They form a dynamic dataset of people’s emo:ons related to their preferences, opinions, geographic locations, communities as well as social news and events. However, social media mining has not yet been employed for emo:on-driven design. Currently there are various tools and methodologies that support design conceptualization, but with no tools yet to employee the dynamic social media data as a material. This project investigate the role of the user- generated content on social media to emo:on- driven design, bridging the two with meaningful stories that reflect people’s subjective experiences in emotional events. Later on, experiments and tests were done to explore a workflow of how can designers discover the meaningful stories from Instagram. This resulted in a basic approach and a set of data exploration techniques. Therefore, the goal was set to developed a data exploration tool for designers, which facilitate them to do controllable explorations and flexible searches with with the qualitative, unstructured social media data. The target group is designers who are interested to look for meaningful stories in social media but have less experiences in data mining. In the end, a data exploration tool is developed , and it is evaluated by designers on the effectiveness aspect and experience aspect. The evaluation indicated that the story exploration in social media with the tool could sensitize the designers with their target users’ daily life emotional experience, and can broaden the designer's horizon by having an overview on the possible experiences. The tool is recommended to be used in the very early phase of emo:on-driven design.
Perancangan Sistem Informasi Akademik Yayasan Tahfizhul Qur’an

The development of information technology that is so fast and rapid is a challenge that must be faced by companies or educational institutions, whether it is public or private. Academic information system is a system built to manage academic data so as to provide convenience to users in academic administration activities online. With the development of this technology, it is expected that every education sector can utilize it as a supporting sector for operational activities that is capable of producing information. The problem faced by the Tahfizhul Qur'an Foundation, where the data held has not been well integrated. At this time all information delivery activities carried out by the foundation are in the form of sheets and through via short messages. Therefore, a web-based academic information system will be designed at the Tahfizhul Qur'an Foundation that can facilitate data processing and present it in the form of information that is easily accessible anytime and anywhere.
AL and S Methods: Two Extensions for L-Method

With the advent of smart IoT and M2M scenarios it becomes necessary to develop autonomous systems that optimize themselves with minimal human intervention. One possible method to achieve this is through Knee/elbow point estimation. Most of the time these points represent ideal compromises for parameters, methods and algorithms. However, estimating the knee/elbow point in curves is a challenging task. Our focus is on determining the ideal number of clusters autonomously. We analyse and discuss well-known knee/elbow estimators and two extensions based on the theoretical definition. The proposed methods (named AL and S methods) were evaluated against state-of-the-art estimators. The proposed methods are a viable stable solution for knee/elbow estimation.
Geospatial Services as SAAS: Trends and Drivers

Software As A Service (SAAS) is a way/means of delivering the functionality of a software over the internet as a service. SaaS applications run on a SaaS providers servers. The provider manages access to the application, including security, availability, and performance.¹ Important aspects such as security, stability and scalability are addressed by the SAAS provider. The concept was fostered by two major developments: (a) Higher bandwidth, greater accessibility and falling rates of internet usage and (b) Open source software movement. Hence SAAS users save on the initial costs, efforts in upscaling and get the service they want at a nominal fee.
Congestion Control in Cloud Computing Network for Load balancing using Portability

The major obstacles in cloud usage is its non-flexible attribute with respect to portability of applications and congestion due to enormous usage of cloud applications by users. Customers of cloud computing are unable to access the services offered by one cloud over the other. Applications running on one cloud environment is bound to the ordinance and principles of provisioning of the same. The customers we are referring here are mobile in nature. The non-flexible attribute we are referring here is cloud vendor lock-in. We have proposed a new scheme called Cloud Application Migration Management Model (CAM3) that encompasses service Cloning for flexible and versatile usage. In this scheme, we plan to clone the application proffered by cloud vendor and install in another homogeneous hybrid cloud environment. The service application migrated can be made accessible by Application Re-engineering and Code Re-factoring techniques, thus making the cloud environment elastic and versatile.
Multilabel Classification for Toxic Comments in Indonesian

The more rapid development of the internet world, users can make comments on a variety of content on social networks, such as social media, blogs and others. Free users make comments triggering negative comments, making insults and incitement. By classifying user comments it is hoped that the system can be smarter to be able to distinguish threat, insult and incitement comments. The technique for classifying user comments uses deep learning, consisting of 6 classes. The results of experiments that have been conducted show that deep learning models produce an accuracy rate above 98%.
Development of Learning Media “Let’s Go Deutsch!“ Based on Flash with Familie und Beruf Theme for Eleven Grade MAN 1 Kota Malang

This research aims to develop learning media “Let’s Go, Deutsch!“ to be used for XI grade students MAN 1 Kota Malang. “Let’s Go, Deutsch!“ is based on flash and focused on vocabulary on Familie und Beruf theme. This media contains vocabulary, expressions, videos, and quizes.The type of research is Research and Development (R&D) that use Hoge, Tondora, and Marelli method. The develoment method that originally has seven steps is modified ti five steps. “Let’s Go, Deutsch!“ has been validated by material expert and media expert. This media has been tested to 29 students of XI Language grade MAN1 Kota Malang. The instruments used in this research are questionnaire forms. The research method is qualitative descriptive.The result of this Research and Development shows that “Let’s Go, Deutsch!“ is worth to be used and can used as intermediary in the delivering the materials. The subjects also stated that this media can motivated them to learn vovabularies with fun way.
On The Implication Of Light Field Compression On Post-Processing Algorithms

A Light Field (LF) can be parameterized as an assembly of beams in empty space (e.g. direction and intersection with plane with no starting point). As LFs are a 4D representation of a scene including both color intensity and angular information unlike the conventional 2D images which contain only color information, it is essential to adapt 4D LFs to be handled by file formats designed for assemblies of 2D images. This paper proposes adapting LFs to current production workflows, allowing interoperability between imaging applications and devices. OpenEXR is a standard that provides substantial advantages over conventional multiplexed video files or images, for special effects or in media environment. It can store many data channels, which allows for maximum flexibility in compositing. We have investigated the possibilities to store LFs in this format and also evaluated the different EXR compressions (lossy and lossless). In addition to this, a standard format such as JPEG XT which offers support for high bit depth image representation is also evaluated and compared.
Neural Network Applications in Hate Speech Detection

This chapter presents a literature survey of the current state of hate speech detection models with a focus on neural network applications in the area. The growth and freedom of social media has facilitated the dissemination of positive and negative ideas. Proponents of hate speech are one of the key abusers of the privileges allotted by social media, and the companies behind these networks have a vested interest in identifying such speech. Manual moderation is too cumbersome and slow to deal with the torrent of content generation on these social media sites, which is why many have turned to machine learning. Neural network applications in this area have been very promising and yielded positive results. However, there are newly discovered and unaddressed problems with the current state of hate speech detection. Authors' survey identifies the key techniques and methods used in identifying hate speech, and they discuss promising new directions for the field as well as newly identified issues.
The XAuth Protocol

Client software often desires resources or identity claims that areindependent of the client. This protocol allows a user and/or resourceowner to delegate resource authorization and/or release of identityclaims to a server. Client software can then request access toresources and/or identity claims by calling the server. The serveracquires consent and authorization from the user and/or resource ownerif required, and then returns to the client software the authorizationand identity claims that were approved. This protocol can be extendedto support alternative authorizations, claims, interactions, andclient authentication mechanisms.
Методика определения требуемого значения критерия качества изображения для алгоритмов обнаружения при наличии искажений

METHOD OF DETERMINING THE REQUIRED VALUE OF THE IMAGE QUALITY CRITERION FOR DETECTION ALGORITHMS IN DISTORTION CONDITIONSA. KHIZNIAK, A. LIPLIANIN
Fast Time-optimal Avoidance of Moving Obstacles for High-Speed MAV Flight

In this work, we propose a method to efficiently compute smooth, time-optimal trajectories for micro aerial vehicles (MAVs) evading a moving obstacle. Our approach first computes an n-dimensional trajectory from the start- to an arbitrary target state including position, velocity and acceleration. It respects input- and state-constraints and is thus dynamically feasible. The trajectory is then efficiently checked for collisions, exploiting the piecewise polynomial formulation. If collisions occur, viastates are inserted into the trajectory to circumvent the obstacle and still maintain time-optimality. These viastates are described by position, velocity, and acceleration. The evaluation shows that the computational demands of the proposed method are minimal such that obstacle avoidance can begin within few milliseconds. Optimality of generated trajectories, combined with the ability for frequent online re-planning from non-hover initial conditions, make the approach well suited for evasion of suddenly perceived obstacles during fast flight.
Blockchain Research Report

This research report outlines the current research into blockchain technologies as of December 2018. Starting with an overview of the blockchain technology to introduce the theory. To then follow w ...
Deep Learning models for semantic segmentation of mammography screenings

This work explores the performance of state-of-the-art semantic segmentation models on mammographic imagery. It does so by comparing several reference semantic segmentation deep learning models on ...
Avatar-Based Automated Tools and Testing Cloud System as a Gateway of Modern Feedback Control in Digital Era

This article is an enhancement of “Avatars “HHH” Technology Education Cloud Platform on Sliding Mode Based Plug-Ontology as a Gateway to Improvement of Feedback Control Online Society” an article from IJICTHD volume 6 issue 3, published in 2014. This article proposes the concept of creating an automated software system for monitoring student knowledge in the learning process. It is proven that for successful students to learn remotely, it is necessary to develop a knowledge assessment system that takes into account the various learning features, as well as the individual characteristics of the student. The block structure of an automated software system is presented and its elements are discussed in relation to the educational process. The role of the teacher in the virtual learning system is discussed and an algorithm of the learning process in this system is presented. The author using own concept avatar-based automated tools and testing cloud system as a gateway of modern feedback control in digital era.
Gender Differences of ICT Skills Among LIS Professionals in Universities of Tamil Nadu

The purpose of the chapter is to investigate the gender differences of ICT skills of LIS professionals working in the Universities of Tamil Nadu. The study covered 47 universities including 19 state universities, 2 central universities, and 26 deemed universities. In the present study, the data was collected from the respondents through a structured questionnaire using survey method and adopted simple random sampling. The questionnaire contains attitudes of communication skills, use of ICT and related gadgets, level of awareness/skill in the computer applications/services, attitude towards ICT implications, problems of implications of ICT, and areas of ICT skills where training is required among male and female respondents. Totally, 441 respondents are selected from these 47 universities including 325 male and 116 female respondents. The study used SPSS Ver. 23 was used for performing necessary statistical analysis means, s Ranks, Independent ‘T' Test, and Chi-Square Analysis the collected data to draw necessary inferences. It is brought to light that 100% of male and female respondents agree that they would like to know more about ICT. Around 90% of male and female respondents agree that ICT helps them to present research articles in the seminars/workshops/conferences and find it easy to select appropriate ICT resources related to work environment. About 85-90% of both female and male respondents agree that ICT motivates the library staff to learn effectively, it saves the time of the library staff in many ways, it provides high level security for library resources, and it facilitates easy information exchanges. Further, the chapter also provided a platform to LIS professionals to find out the area of focus to learn and update their ICT skills in digital environment and electronic resources by LIS professionals for efficient delivery of library services for the betterment of the library as a whole.
LibGuides: History and Influences of Young Adult Literature and eBooks: General Resources

The purpose of this guide is to provide acedemic and commercial resources for those interested in studying Young Adult and eBook themes academically.