Reviewerly/exHarmony huggingface dataset:
LifeRewinder

Information overload from voluminous lifelogs hinders effective comprehension and sense-making. Despite extensive prior work to summarize such datasets, selection of important moments is an ongoing research challenge. An alternative is to redesign interaction techniques and visualizations to leverage the human cognition to interact with complete datasets. In this work, we present and evaluate LifeRewinder, a prototype for sequentially reviewing lifelogs as a time-lapse video with controllable speed using a knob.
An Analysis Of Argument Skill Made By Students Of English Department In “Sega Program” At Muhammadiyah University Of Surakarta In 2018/2019 Academic Year

The objectives of the study is to identify the difficulties faced by students in building the arguments during debate in SEGA program in 2018/2019 academic year. The participants were 24 third-semester students of English Education Department of Muhammadiyah University of Surakarta who joined the SEGA (Saturday English Gathering) program in 2018/2019 academic year. The data sources of this study were the process of debate in final exam of SEGA and the students who became the debaters at SEGA final test. To achieve the aim, the researcher used observation and structured interview as the instruments to collect the data. Then, they were analyzed by AREL structure using the descriptive qualitative method. To validate the data, this study used inter-rater reliability. The findings showed that there were 5 difficulties faced by the students in building their arguments during debate. Those structures were: the difficulty in comprehending the motion of debate (13%), the difficulty in making Reasoning (13%), the difficulty in finding the Evidence (58%), the lack of understanding the AREL structure (8%) and the lack of confidence (8%).
The Development of Language Acceptance for Children Aged 0-5 Years in RT004/RW003 Jatimurni, Bekasi

&lt;p&gt;&lt;em&gt;The aim of study was to determine the development of language acquisition of children aged 0-5 years in RT004 / RW003 Jatimurni, Bekasi and find out the average length of speech of the first language acquisition Zeen, Tyas, Putri, Fatih, Radit, and Kenzi. The research method uses qualitative description, while the approach used is a longitudinal approach. The main features of longitudinal require a long time because what is examined is the development of something being studied from one time to another. Source of data from language acquisition of children aged 0-5 years. The result of the development research on language acquisition of children aged 0-5 years in RT 004 / RW 003, Jatimurni, Bekasi is children aged 0-3 months wake up when they hear a loud voice, which is crying, if they hear others talking they pay attention to the person, he smiles when invited to talk,can recognize the voice of his cast or caretaker and stop crying when invited to talk. Paying attention to the eyes and mouth of people who act as they speak, look for sound sources by moving their eyes and bodies,looking at objecta around them, and showing interest in objects that are in their environment, and using their environment and using their hand and mouth to explore their motor sensory, while Tyas age 1 the averages length of speech, which is 0.2. Putri age of 2.3 years of utterance averages, which is 0.43, Fatih age 3.4 years the average length of speech, which is 0.60, Radit age of 4 years the average length of speech, namely 1.6, and Kenzi age of 5 years the average length of speech 2.15. So,, the development of children’s language acquisition will continue to increase according to the increase in age and cognitive development.&lt;/em&gt;&lt;/p&gt;
Weebly Vs. WordPress – Best Platform For 2019

After a lot of strategy sessions and imagination and after reading our tutorial on how to start a great blog, you are ready to go. You have found your niche and deftly dodged our list of common blogging mistakes while writing some advanced content for your launch. Now, it’s time to decide which platform to use for your blog. This can be a really tough and time consuming decision, because there are tons of different ways to host a blog. Everyone wants you to believe that they have the best platform for your needs. How do you sort through all the sales garbage and get to the heart of the matter?
The role of phenomenological analysis of the bodily illness experience in the psychotherapy of the medically ill

To discover through the patients themselves the process of coexisting with Parkinson's disease.Qualitative study of phenomenological approach. The sample consisted of 6 participants. The data was obtained through a semi-structured individual interview. The conversations were audio recorded, with the consent of the participants, and then transcribed to make a thematic analysis. This study was approved by the relevant Research Ethics Committee.From the analysis of the data, 6 categories emerged: Acceptance; Coping; Family and friends; Society and Parkinson's; Institutions and research; Future. All the subjects remembered the day of the diagnosis, and agreed that this takes too long. From that moment they began to develop adaptation and coping mechanisms that were benefited or harmed by various aspects such as: medication, present symptoms, work or mood, making family support fundamental. They expressed that society does not currently understand people with Parkinson's disease.Parkinson's disease is largely unknown to society, which makes it difficult for those affected to accept and cope with the disease. State of mind is essential to adapt to the disease, and integrate it into daily living, while the family is an important pillar in this process.Conocer a través de los propios pacientes cómo es el proceso de convivir con la enfermedad de Parkinson.Estudio cualitativo de enfoque fenomenológico. La muestra estuvo constituida por 6 participantes. Los datos se obtuvieron a través de una entrevista individual semiestructurada. Las conversaciones fueron grabadas en audio, con el consentimiento de los participantes, y luego fueron transcritas haciendo un análisis temático. Este estudio fue aprobado por el pertinente comité de ética de investigación.Del análisis de los datos surgieron 6 categorías: aceptación; afrontamiento; familia y amigos; la sociedad y el Parkinson; instituciones e investigación; y futuro. Todos los sujetos recuerdan el día del diagnóstico y coinciden en que este se prolonga demasiado en el tiempo. A partir de ese momento empezaron a desarrollar mecanismos de adaptación y afrontamiento que se vieron beneficiados o perjudicados por diversos aspectos como: la medicación, los síntomas presentes, el trabajo o el estado anímico, otorgando al apoyo familiar un papel fundamental. Expresan que actualmente la sociedad no comprende a las personas con Parkinson.El Parkinson es una enfermedad muy desconocida para la sociedad, lo que dificulta la aceptación y afrontamiento de la enfermedad por parte de los afectados. El estado anímico es fundamental para lograr adaptarse a la enfermedad e integrarla en el día a día, mientras que la familia es un pilar importante en dicho proceso.
Presenting the Fourth JDR Award

It is our great pleasure to present the Fourth JDR Award to Professor Nobuo Shuto for his outstanding contributions to the Journal of Disaster Research (JDR) as the Honorary Editor. Professor Shuto, Professor Emeritus of Tohoku University, is a pioneer of the theoretical study of tsunamis. He has also made a large contribution to the development of numerical simulations, visualization through computer graphics, and other critical techniques for the study and control of tsunami disasters. The development of tsunami disaster reduction and management that we have today is thanks in large part to his achievements. On behalf of the JDR editorial board, I wish to thank Professor Nobuo Shuto for his efforts and to congratulate him as the winner of the Fourth JDR Award.
Establishment and Application of Spoken Korean Language Corpus for Researching Korean Language Learners’ Grammar Acquisition

This research discusses the process of establishing and processing Korean language learner’s spoken language corpus to investigate the learners’ grammatical enhancement. Furthermore, by utilizing a part of corpus that is being established, we examined the emergence and development of adverbial case markers within the speeches of beginner level learner. Prior to the research, we focused on the discussion about the universality of the procedure for acquiring grammatical morphemes, and the learnability hypothesis. Under the research design of collecting speeches of learners for 18 months, we discussed the difficulties that occurred when establishing spoken language corpus and the corresponding solutions. Moreover, to confirm the validity of the established data we analyzed a part of the corpus to inspect the emergence of adverbial case markers. The result indicated that the adverbial case markers ey and eyse emerge in early stage and are frequently utilized. lo, lang, eykey, and chelem also appear at early stages, and hako and hanthey start to be used relatively later.
Research on Countermeasures of Strengthening Information Security Education of College Students

This paper aims to study the countermeasures of strengthening information security education of college students, improve college students' awareness of personal information protection, and effectively protect college students' personal information security. By means of literature survey and field investigation, this paper investigates and studies the degree of college students' awareness of personal information protection, and puts forward feasible countermeasures to curb the occurrence of college students' personal information leakage events in China. In the current information age, the premise of using college students' personal information is to ensure that their personal information is not leaked. Therefore, this paper puts forward an overview of college students' personal information protection, analyzes the problems existing in college students' personal information protection, and puts forward specific feasible countermeasures. The conclusion is that in order to strengthen the information security education of college students, colleges and universities must construct the guarantee mechanism of "four integration" of the country, industry, colleges and universities and college students.
Evaluating the Usability of an Online Resource for the University of Hawaii Maui College Information Technology Help Desk Workers

A usability study conducted at the University of Hawaii Maui College evaluating the use of an online repository.
Languages of Processes: Analysis and Synthesis Problems

A language of processes is any set of processes. Processes Some of such languages represent behaviour of cause-effect structures and will be called definable (or generable) by c-e structures, “ces-definable”, in short. Following the theory of formal languages of strings, we intend to find a definability of process languages by finite expressions in a suitably devised algebra, or, equivalently, by means of grammars or equations of a special form.
Hardware Accelerators for Data Sort

This chapter is dedicated to sorting networks with regular and easily scalable structures, which permit data to be sorted and a number of supplementary problems to be solved. Two core architectures are discussed: (1) iterative that is based on a highly parallel combinational sorting network with minimal propagation delay, and (2) communication-time allowing data to be processed as soon as a new item is received and, thus, minimizing communication overhead that is frequently pointed out as the main bottleneck in system performance. The architectures are modeled in software (using Java language) and implemented in FPGA. It is shown that sorting is a base for many other data processing techniques, some of which have already been discussed in Chap. 3 . Several new problems that are important for practical applications are highlighted, namely retrieving maximum and/or minimum sorted subsets, filtering (making it possible a set of data with the desired characteristics to be extracted), processing non-repeated items applying the address-based technique that has already been used in the previous chapter, traditional pipelining together with the introduced ring pipeline. The primary emphasis is on such important features as efficient pre-processing, uniformity of core components, rational combination of parallel, pipelined and sequential computations, and regularity of the circuits and interconnections. Potential alternative solutions are demonstrated and discussed. Many examples are given and analyzed with all necessary details.
CRYPTOPERIOD COUNTER (CC) AND DERIVED KEY PER ACCESS FOR REAL TIME (DEKART)

Ponte Academic JournalMay 2019, Volume 75, Issue 5 CRYPTOPERIOD COUNTER (CC) AND DERIVED KEY PER ACCESS FOR REAL TIME (DEKART)Author(s): Keunhee Han ,Minyoung Shin, Keecheon KimJ. Ponte - May 2019 - Volume 75 - Issue 5 doi: 10.21506/j.ponte.2019.5.6 Abstract:Cryptographic algorithms perform encryption operations using an encryption key to protect information, and process decryption is performed only upon authorization to determine the information. However, when there is vulnerability during the key distribution process, a key life cycle with a certain cryptoperiod can provide a basis for an attack target point. Accordingly, this paper proposes a method to have a different cryptoperiod every time the key is created, making it difficult to determine the key distribution time easily. The cryptoperiod in this study has the nonce property and is defined by the maximum key use count instead of time period, which is generally used. In addition, this study proposes a method that prevents side-channel attack using DErived Key per Access for Real Time (DEKART) derived using a cryptoperiod counter (CC) during communication security that employs a symmetric key. This method, which performs encryption and decryption by generating DEKART whenever it approaches the key, can obtain the same effect of using a new key in every encryption and decryption operation. Thus, it is more secure than the masking technique, which is widely used in side-channel attack prevention in general. In addition, it ensures that the cryptoperiods of the originator and recipient are not different and the DEKART value is not mismatched through the synchronization process of the secured CC value. Furthermore, this study verified that the security performance was improved when DEKART was used compared with the experiment that measured the minimum number of plaintexts required during the chosen-plaintext attack (CPA). Moreover, the comparison results after implementing encryption and decryption operations using a secret key and DEKART showed that if the data size was 10 MB, the operation was slower by 72μs on average in encryption and by 414μs on average in the decryption when using DEKART than when using a secret key, which verified that there was no significant difference in the operation speed between them. Download full text:Check if you have access through your login credentials or your institution Username Password
Genesis of manganese ore occurrences of the Olkhon Terrane

&#x0D; Geological and mineralogical data are reported on the manganese occurrences of the Olkhon terrane (Western Baikal region), which are localized in metadolerites of the Ustkrestovsky Complex, high-temperature mafic hornfels, granites, calcitic marbles and calciphyres, and occasionally are developed as separate veins in gneiss granites or small lenses in quartzites. Most of them are made up of high-temperature mineral assemblages (Opx + Cpx + Pl + Ilm ± Grt± Bt ± Amp), the main manganese carriers in which are ferrorhodonite (33–36 wt % MnO), orthopyroxene (6–12 wt % MnO), and ilmenite (3–16 wt % MnO). Obtained data are in conflict with traditional concepts that these rocks are gondites (manganese-rich metamorphosed sediments) or that manganese flux in carbonate sediments was related to the volcanic activity that occurred simultaneously with sedimentation at about 500 Ma. The diversity of manganese occurrences was produced by metasomatic processes that occurred almost simultaneously with regional metamorphism and emplacement of subalkaline mafic bodies during collisional tectonogenesis (about 470 Ma).
Comments in Kotlin Files

Comments in computer language files are text that does not belong to the computer language itself and thus have no influence over the program execution, but provide a textual description of elements and constructs used in the program. Comments help the reader to understand your program.
SPIBB-DQN: Safe Batch Reinforcement Learning with Function Approximation

We consider Safe Policy Improvement (SPI) in Batch Reinforcement Learning (Batch RL): from a fixed dataset and without direct access to the true environment, train a policy that is guaranteed to perform at least as well as the baseline policy used to collect the data. Our contribution is a model-free version of the SPI with Baseline Bootstrapping (SPIBB) algorithm, called SPIBB-DQN, which consists in applying the Bellman update only in state-action pairs that have been sufficiently sampled in the batch. In low-visited parts of the environment, the trained policy reproduces the baseline. We show its benefits on a navigation task and on CartPole. SPIBBDQN is, to the best of our knowledge, the first RL algorithm relying on a neural network representation able to train efficiently and reliably from batch data, without any interaction with the environment.
RSS Toms Brain

RSS LivesRSS is a type of web feed which allows users and applications to access updates to online content in a standardized, computer-readable format. These
A Method of Terrain Crack Removal Suited for Large Differences in Boundary LoD

Terrain crack removal is an unavoidable problem that must be solved in real-time three-dimensional (3D) terrain rendering. Conventional elevation adjustment-based crack removal methods are plagued by a number of problems, including restrictions associated with level of detail (LoD) differences, computational inefficiency and lighting discontinuities. To address these issues, we propose a crack elimination method that is suited for large differences in boundary LoD. The first step in this method is the construction of terrain quadtrees that contain edge and angle adjacency information. These structures are then updated in real time. The second step is to modify the boundary mesh vertices using linear interpolation, which allows for LoD differences greater than 1 between adjacent tiles. Finally, the vertex normals of the mesh vertices of the terrain block are calculated and evaluated. Our method was experimentally validated using topographical data from a mountainous region in Sichuan Province, and the results provide evidence that supports the reliability and superiority of the proposed method compared to the conventional method.
On-Line Learning the Edit Costs Based on an Embedded Model

This paper presents an on-line learning method to automatically deduce the insertion, deletion and substitution costs of the graph edit distance, which is inspired in a previously published off-line learning method. The original method is based on embedding the ground-truth node-to-node mappings into a Euclidean space and learning the edit costs through the hyper-plane in this new space that splits the nodes into the mapped ones and the non-mapped ones. The new method has the advantage of learning the edit costs and computing the graph edit distance can be done simultaneously. Experimental validation shows that the matching accuracy is competitive with the off-line method but without the need of the whole learning set.
Online course: Mergers and acquisitions

This course will review the basic functions of an investment bank and Mergers and Acquisitions practitioners within an Investment Banking Division.
e-Discovery: Discovering fraud related e-mails using Bayesian statistical techniques

During a digital fraud investigation the search for relevant information in mailboxes of custodians is like finding a needle in a haystack. This time consuming task can, on various levels, be improved and made more efficient. Technology Assisted Review (TAR) is already one of the available machine learning algorithms that helps speeding up the process of finding relevant information. In Technology Assisted Review a model is trained based on the classification of e-mails by expert review. During the review process TAR continuously gives back the (potentially) most relevant e-mails that still need to be given a classification. The downside of this algorithm is that a manual expert review is still needed before TAR can give recommendations. This thesis will focus on introductory research on models that give an initial sorting before the expert review is done. The hypothesis that will be used is that this sorting (or classification) can be done in a similar manner as spam e-mails are removed to the junk folder in a mailbox. Three different features have been used (word frequencies, word occurrences and length of an e-mail) on four different models for each feature (A generative and discriminative model, each with maximum likelihood estimation or Bayesian estimation). Each of these 12 different implementations have been tested on three different datasets (TREC, ENRON and a confidential dataset). Based on 5-fold cross validation the Bayesian generative model based on word frequencies has been shown to perform best on the confidential dataset. This model shows that a classification at the start of a digital fraud investigation can be helpful. Combining different models, and finding the best parameters for practical usage of the model is left for further research.
한국어 학습자의 일상적 대화 구성에 관한 연구 -대화의 주제와 응집성을 중심으로-

The purpose of this study is to analyze the process of constructing daily conversation in terms of topic and coherence and to present the case of coherence weakening of conversation through the analysis of conversations of learners who study Korean as a second language. This study emphasizes the importance of reconsidering the necessity of daily conversation education and educating Korean learners to possess the ability of constructing Korean conversation. Particularly In daily conversation education, improving the ability of introducing and ending the topic of conversation naturally in Korean and the ability of expanding to deepen the main topic through linking sub-topics is necessary. For this purpose, this study presented cases of coherence weakening through the analysis of conversations of Korean learners in respect of searching topic, changing topic and terminating topic and tried to draw implications for daily conversation education. Through this study, the coherence of conversation weakened in the category of failure of common topic search, sudden topic conversions, failure to adapt to topic conversions, and sudden termination of the topic was observed, and educational implications was suggested in each category. (Honam University)
How To Reach Your Blogging Goals in 2019

There's a little known fact about 99% of bloggers out there, and only you and I know it. They never get started. In this post, I'll explain the relatively easy steps you should take to avoid being the 99% and to meet your blogging goals today.
Web Hosting Providers - Which one is Best? Reviews & Top Picks!

Here’s your complete guide to finding the best possible web hosting provider for your needs. In our web hosting comparison chart we’ll show you what features you should consider and what you should expect to pay. Plus, we’ve included five web hosting providers you’ll want to know about. Let’s get started with my 100% honest ultimate web hosting providers comparison guide...
Catalytic Quantum Rabi Model

Apart from fundamental interests in light–matter interaction at the USC regime, the ultrastrong coupled qubit–cavity system or quantum Rabi system (QRS) is also extensively studied for its potential impetus to speed up quantum information processing at subnanosecond timescales [1–5], particularly within the framework of circuit quantum electrodynamics (QED) [6].