Reviewerly/exHarmony huggingface dataset:
Proceedings of XXXII GIRI meeting

Annually, clinical practitioners and researchers from different areas joint efforts to discuss relevant findings related to high dilutions at the International Research Group on Very Low Dose and High Dilution Effects (GIRI) meeting.This year the meeting was organized jointly with the National Association for Traditional and Complementary Medicine of Russia, and held in Moscow on the 28-29 June.Topics included physicochemical and mathematical models to identify high dilutions in solutions, biological models using in vitro and in vivo studies to determine its effects, as well as clinical observations.These were two days of presentations that ended in a round of discussion about how to improve and join forces to translate clinical observations to basic research findings and vice versa.High standards scientific methods, reproducibility, and transdisciplinarity are key points of any quality research.It was possible to recognize that despite of several difficulties, anyone struggling to study high dilutions is engaged to all these points.It was also noticeable a growing network of people focused on unravel its pathways that ultimate culminate in successful patient's wellbeing.Hopefully everyone committed to overcome all imposed barriers will find ways of continuing to perform quality research, upgrading basic knowledge towards better understanding of high dilutions actions.Thus acting together, we hope that this model will gain strengths and will perpetuate the memory of Dr. Peter Fisher; someone who was an example to be followed, a keen researcher that truly worked in favor of patient's holistic treatment.
Genetic Optimization of Type-1, Type-2 and Intuitionistic Fuzzy Recognition Systems

In this paper a new method for fuzzy system optimization is presented. The proposed method performs the intuitionistic or type-2 fuzzy inference system design using a hierarchical genetic algorithm as an optimization method. This method is an improvement of a fuzzy system optimization approach presented in previous works where only the optimization of type-1 and interval type-2 fuzzy inference systems was performed considering a human recognition application. Human recognition is performed using three biometric measures namely iris, ear, and voice, where the main idea is to perform the combination of responses in modular neural networks using an optimized fuzzy inference system to improve the final results without and with noisy conditions. The results obtained show the effectiveness of the proposed method for designing optimal structures of fuzzy systems.
LibGuides: State Records Services Version 3: Records Retention Schedules

The Records Retention Schedules may be revised periodically to include a newly created record series, to change retention periods, or to delete a record series no longer useful. Records Management welcomes all comments and suggestions concerned with impro
Training of Photonic Neural Networks through In Situ Backpropagation

We provide a protocol for training photonic neural networks based on adjoint methods. The gradient of the network with respect to its tunable degrees of freedom is computed by physically backpropagating an optical error signal. © 2019 The Author(s)
The Effect of Exhibition Experience on Visitors’ Memory, Commitment, Satisfaction, Behavioral Intention of History Museum: A Case of Seodaemun Prison History Hall

The purpose of this study was to investigate the effects of exhibition experience on visitors’ experience in history museum by analyzing the effects of exhibition experiential factors on memory, commitment, satisfaction, and behavioral intention. The research results are summarized as follows. Firstly, educational and interesting factors positively influenced on visitors
Cyberbullying Detection on Social Media

Cyberbullying is an act of bullying with the use of technology as a medium.The exponential growth of social media has exposed many people especially young people to the risk of being target of cyberbullying.With the help of machine learning, we can detect language patterns from the cyberbullying posts and develop a model to detect cyberbullying content automatically.This project uses data from Formspring.me, a question-and-answer formatted website.The data is labeled by Amazon's Mechanical Turk, a web service.After data preparation and pre-processing, Scikit-learn, a python library is used to train a model to classify if cyberbullying is present in the post by recognizing bullying content based on its insult words as features.Four machine learning techniques, namely, logistic regression, decision tree, random forest and support vector machine are used to train the model.Consequently, all four algorithms achieve more than 78% of accuracy in identifying the true positive where support vector machine achieves the best performance with a score of 87% of accuracy in identifying the true positive.Furthermore, the context of cyberbullying post is investigated and categorised into five categories, namely, swearing, abusive, sexism, vulgar, and racism.Lastly, a study on the severity level and the context of cyberbullying content analyzed swearing as the most frequent category of cyberbullying in this dataset.
{BLAS-on-flash}: An Efficient Alternative for Large Scale {ML} Training and Inference?

Code Release Many large-scale machine learning training and inference tasks are memory-bound rather than compute-bound. That is, on large data sets, the working set of these algorithms does not fit in memory for jobs that could run overnight on a few multi-core processors. This often forces an expensive redesign of the algorithm for distributed platforms such as parameter servers and Spark. We propose an inexpensive and efficient alternative based on the observation that many ML tasks admit algorithms that can be programmed with linear algebra subroutines. A library that supports BLAS and sparseBLAS interface on large SSD-resident matrices can enable multi-threaded code to scale to industrial scale datasets on a single workstation. We demonstrate that not only can such a library provide near in-memory performance for BLAS, but can also be used to write implementations of complex algorithms such as eigensolvers that outperform in-memory (ARPACK) and distributed (Spark) counterparts. Existing multi-threaded in-memory code can link to our library with minor changes and scale to hundreds of gigabytes of training or inference data at near in-memory processing speeds. We demonstrate this with two industrial scale use cases arising in ranking and relevance pipelines: training large scale topic models and inference for extreme multi-label learning. This suggests that our approach could be an efficient alternative to expensive distributed big-data systems for scaling up structurally complex machine learning tasks.
Implementation of Multi Node Hadoop Virtual Cluster on Open Stack Cloud Environments

Nowadays computing plays a vital role in information technology and all other fields. Yes, the cloud computing is one of the biggest milestone in most leading next generation technology and booming up in IT filed and business sectors. In our day to day life the data is being generated is enormous amount such as tera (TB), peta (PB), zeta (ZB) bytes. Hadoop Map Reduce is the popular distributed computing paradigm to process data intensive jobs in cloud. Completion time goals for deadline of map reduce jobs set by users are becoming crucial in existing cloud based data processing environments like Hadoop. In this paper proposes a real-time implementation of multi node Hadoop virtual cluster on open stack cloud environments and also it processes the huge data sets in parallel different virtual machines (VMs) and it compares average execution time for different node virtual clusters and various size inputs.
Storage and Query Over Encrypted Sensitive Association Rules in Database

In this modern era of increasing need of data sharing along with data security, processing over encrypted data is highly desirable. Data encryption is the most common technique used for maintaining the data privacy. However, when processing is required to be done on this encrypted data it becomes a critical task. In most of the existing theories data need to be decrypted before it is being processed. Decryption before processing leads to serious threat to data. To avoid this, a new mechanism has been proposed and implemented which provides strong data protection. This mechanism helps to query over encrypted data without decrypting it. Experimental results show that the new technique outperforms the existing one in terms of query performance, computation time and storage memory.
Automation of Public Libraries in the State of Telangana: A Proposal

Public libraries are institutions which   support democracy and development in the society by offering free access to information. Public library is the local gateway to knowledge, providing basic conditions for lifelong learning, independent decision making and cultural development of the individual and social groups. The expectations of the users of any library are quite high and the libraries are in a position to face the new challenges posed by the advent of Information Technology and at the same time to satisfy the complex requirements of the users. The new state of Telangana was formed in June 2014. The article focuses upon a systematic process and steps to do automation of public libraries in the state of Telangana.
Educator Certification Online System

The Educator Certification Online System (ECOS) is the online site for educators to access their certification account to  verify or apply for certification. The Texas Education Agency Login (TEAL) is a secure gateway where access must be set up before an educator can access their certification account. The TEAL
An Introduction Natural Language Processing

The study of the way native human dialects and computer systems interact is known as natural language processing.Cognitive languages require the use of NLP, which has connections to artificial intelligence and computer engineering.In artificial intelligence, natural language processing, or NLP, includes all aspects of learning, comprehending, and creating natural human dialects.This eliminates the need for humans to use their own dialects when managing spoken and written natural speech on machines.Natural language processing, also referred to as "computational linguistics," combines semantics and grammar, to help computers comprehend human speech and writing and infer meaning from what is said.Neural networks and computer programming are combined in this area to create software that can translate languages reasonably accurately.Voice recognition is a branch of this topic that enables a computer to fully comprehend what you are saying.introduces the concept of contemporary NLP systems as well as Natural Language Processing (NLP) in general.The medical informatics generalist with little experience in NLP and/or cutting-edge technology is the target audience for this advice.We outline the typical NLP sub problems in this wide area and chart the development of NLP in light of this.We provide an overview of the key achievements in therapeutic NLP study.Following a brief introduction to common machine learning approaches for addressing various NLP sub problems, we'll discuss the architecture of current NLP frameworks and provide an overview of the Apache Foundation's Unstructured Information Management framework.Finally, we look at possible NLP directions in the future.
Access to and Delivery of Requested Materials

While deep archives do not provide access services to their materials, active archives will respond to requests from libraries, either limited to collaborating libraries or open to any authorized institution. In most cases, these will be met through an online request process: in cases where an article or a chapter or portion of a book is requested, the material may be digitized and sent fairly quickly through the system to the requesting library and, in turn, the requesting patron. When an entire piece or a number of pieces are needed, there are a couple of options: they may be sent through a mail or package carrier to the requesting institution, or particularly for those institutions that may have an agreement with the storage facility and be in reasonable close proximity, there may be a courier that carries materials between those libraries, dependent on the agreements.
Compressed Image Hashing using Minimum Magnitude CSLBP

Image hashing allows compression, enhancement or other signal processing operations on digital images which are usually acceptable manipulations. Whereas, cryptographic hash functions are very sensitive to even single bit changes in image. Image hashing is a sum of important quality features in quantized form. In this paper, we proposed a novel image hashing algorithm for authentication which is more robust against various kind of attacks. In proposed approach, a short hash code is obtained by using minimum magnitude Center Symmetric Local Binary Pattern (CSLBP). The desirable discrimination power of image hash is maintained by modified Local Binary Pattern(LBP) based edge weight factor generated from gradient image. The proposed hashing method extracts texture features using the Center Symmetric Local Binary Pattern (CSLBP). The discrimination power of hashing is increased by weight factor during CSLBP histogram construction. The generated histogram is compressed to 1/4 of the original histogram by minimum magnitude CSLBP. The proposed method, has a twofold advantage, first is a small length and second is acceptable discrimination power. Experimental results are demonstrated by hamming distance, TPR, FPR and ROC curves. Therefore the proposed method successfully does a fair classification of content preserving and content changing images.
PENGARUH KARTU “SIKSAKLaK” DAN PENGGUNAANNYA TERHADAP KEMAMPUAN MENULIS SISWA SMA PERINTIS BANDAR LAMPUNG

This study aims to determine whether there is an effect of the SIKSAKLak card and its use on the writing ability of the Class X Pioneers of Bandar Lampung High School students, describing the influence of the use of SIKSAKLak on writing skills. The method used is a quasi-experimental method. The sample of this study was 60 students with details of 30 students in class X1 (experimental group) and 30 students in class X2 (control class). The technique used in collecting data is a test technique, while the data analysis technique uses the t test with the help of the SPSS 20 computer program. The results showed that there were differences in test results between the experimental group and the control group. The average initial test score for the experimental group was 62.81 and the control group was 58.61. The final test average score of the experimental group was 75.00 and the control group was 65.23. This shows that there is an influence of the use of SIKSAKLak on writing skills in class X of Bandar Lampung Pioneer High School. Thus Ha which reads There is a difference in the ability to write students who are taught using SIKSAKLak with students who are taught without using SIKSAKLak cards accepted.
SISTEM INFORMASI PENGELOLAAN DATA PENDUDUK (STUDI KASUS: RT/RW KELURAHAN PONDOK KACANG TIMUR)

Currently work in every institution whether goverenment or private institutions is involved the management of population data. Including the management of population at the Hamlet level and Neighbourhood. The current problem in Pondok Kacang Timur is the lack of organizational data archiving of the population, many data is still handwritten and stored in the master book. The proces of submitting a letter takes a long time because it must match the data with the files in the archive. In addition, some archives scattered and disappeared with the migration of office stewardship in every assignment period. Utilization of ICT advancement needs to be applied in order to simplify the problems encountered in the management of population. Solutions for solving existing problem by using waterfall method with designing desktop based aplication to management of population data. The result of this desktop based application is to facilitate the storage of data with the database, making of report more effective and efficient.
Analisis dan Perancangan Sistem Informasi Akuntansi pada Revenue Cycle untuk Meningkatkan Kualitas Informasi Toko Sumber Rejeki di Malang

Sumber Rejeki Shop is one of the MSMEs of the grocery-type trading sector that sells daily necessities and becomes the object of this research. Like most MSMEs, Sumber Rejeki Shop still uses a manual system in the transactions of business entities and the absence of reports on the operations of business entities. Without a report, the business entity will have difficulty in making decisions. This study aims to design a computerized accounting information system of revenue cycle sections at Sumber Rejeki Stores to improve information qualitythrough the features contained in Sleekr software. This research uses observation and interview method to obtain data related to Sumber Sumber Rejeki. The result of this research is Sleekr software can produce detailed invoice document and can generate report related to business transaction, both sales report and accounting, which can assist decision making process of Sumber RejekiShop.
Model Aplikasi Layanan Pelanggan Multi Platform Pada Usaha Percetakan Kartu Undangan

&lt;p&gt;&lt;em&gt;The inefficient product promotion system and the limited reach of product catalog marketing to prospective customers have caused the UD Invitation Card printing industry to not achieve maximum turnover. Total Graphics. This paper aims to present a multi-platform e-commerce application model that is used for product catalog promotion, ordering and tracking of product delivery orders for invitation card printing for customers. Web-based multi-platform system on the administrator side and mobile-based on the customer side, developed following the stages in the Prototyping-Based development model. The system design uses object-oriented tools, built using the PHP programming language with the Laravel framework, and a PostgreeSQL database. The functional features of the application system are tested using Blackbox testing techniques. The test results show that all functional features contained in the application, especially the function of delivering product catalog information, product ordering functions, and order delivery tracking functions are functioning validly.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;Keywords&lt;/em&gt;&lt;/strong&gt;&lt;em&gt;: Promotion of goods; E-commerce; Web-based; Mobile based; Prototyping&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;em&gt; &lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Abstrak.&lt;/strong&gt; Kurang efisiennya sistem promosi produk dan terbatasnya jangkauan pemasaran katalog produk kepada calon pelanggan, menyebabkan tidak tercapainya omset secara maksimal pada industri percetakan Kartu Undangan UD. Total Graphics. Paper ini bertujuan menyajikan model aplikasi&lt;em&gt; e-commerce&lt;/em&gt; multi &lt;em&gt;platform&lt;/em&gt; yang digunakan untuk promosi katalog produk, pemesanan dan &lt;em&gt;tracking&lt;/em&gt; pengiriman produk pesanan percetakan kartu undangan bagi pelanggan. Sistem &lt;em&gt;multi platform&lt;/em&gt; berbasis &lt;em&gt;web&lt;/em&gt; pada sisi administrator dan berbasis &lt;em&gt;mobile&lt;/em&gt; pada sisi pelanggan, dikembangkan mengikuti tahapan-tahapan dalam model pengembangan Berbasis &lt;em&gt;Prototyping&lt;/em&gt;. Desain sistem menggunakan &lt;em&gt;tools&lt;/em&gt; berorientasi objek, dibangun menggunakan bahasa pemrograman PHP dengan &lt;em&gt;framework&lt;/em&gt; &lt;em&gt;Laravel&lt;/em&gt;, dan &lt;em&gt;database PostgreeSQL&lt;/em&gt;. Fitur-fitur fungsional sistem aplikasi diuji dengan teknik pengujian &lt;em&gt;Blackbox&lt;/em&gt;. Hasil pengujian menunjukkan seluruh fitur fungsional yang terdapat pada aplikasi, terutama fungsi penyampaian informasi katalog produk, fungsi pemesanan produk, serta fungsi &lt;em&gt;tracking&lt;/em&gt; pengiriman pesanan berfungsi secara valid. &lt;/p&gt;&lt;p&gt;&lt;strong&gt;Kata kunci:&lt;/strong&gt;&lt;em&gt; &lt;/em&gt;&lt;em&gt;Promosi barang; E-commerce; Berbasis web; Berbasis mobile; Prototyping&lt;/em&gt;&lt;/p&gt;
SIGNIFICANCE AND SEMANTIC CONTENT OF THE VALUE OF INDEPENDENCE OF GIRLS

This article deals with the significance of the independence value of girls in some social aspects. It presents the results of an empirical study of the relationship between the significance of that value and the significance and implementation of other instrumental and terminal values, as well as the severity of psychological variables of the initiative and career value orientations. It is indicated that the studied value has a low motivational potential and occupies a middle place in the hierarchy of significance of other instrumental values. An interpretation is given for the absence of interrelations between the value of independence and the psychological variables of the initiative and career value orientations. In the course of studying the semantic content and content of that value, positive relationships with freedom and self-confidence, as life valuesgoals, and negative relationships with the values-means of honesty, sensitivity, and tolerance are explored. The relationship between the significance of the value of independence and the realization of the value of external physical attractiveness is analyzed. There also is a description and interpretation of the relationship between the significance of the studied value and the level of conflict between the significance and the implementation of the creative work value
The Impact of Psychological Safety on Creative Performance: Mediating Role of Job Involvement

The study was conducted with the aim of identifying the impact of psychological safety on creative performance, not in isolation, but by taking job involvement as a mediator. A plethora of research is available that is considered psychological safety and creativity. However, psychological safety has the potential to evoke and motivate employees to involve themselves in work-related activities. Positivism research philosophy was adopted, followed by a deductive approach. 132 sample size was finalized from the employees working in public sector related organizations. The results suggested that psychological safety significantly contributes to the creative performance of employees and job involvement is partially mediating the said relationship.
REMI: working on the memory and logical reasoning of the elderly

It is known that the age pyramid around the world is undergoing an inversion process, in which, in the coming years, we will have more older adults than children. It is necessary to invest more resources in health to bring a better quality of life to them. In this sense, it is also essential that the elderly public is increasingly included digitally, producing applications for this population. This work focuses on presenting an application designed to delay and minimize the effects of cognitive decline, stimulating skills such as memory (short term, more specifically, from work) and logical reasoning. To this end, four implemented features are presented, which are detailed in this work: Games & Logic, Stay Informed, Reminders/Mural and Chatbot Remi.