Reviewerly/exHarmony huggingface dataset:
Who You Are is What You Tell: Effects of Perspectives on Virtual Reality Story Experiences

Virtual reality (VR) stories provide an immersive and interactive medium to present narrative content. While it provides an immersive way to present the content, it is challenging to present the story in a way that matches the intention of the producer. There are several aspects of the VR environment that may affect the way the viewer experiences and perceives the content including the inhabited character by the viewer, the available interactive objects, areas of interest in the scene and their salience to receive attention. This presented demonstration is part of a project where we are investigating the ways a VR story can be presented—in other words, how the VR environment can be designed—to provide affordances that will help the viewer to perceive the story as intended by the producer, without explicitly guiding the viewer for particular interactions.
Using Rich Pictures in Improving Students’ Speaking Ability

This is an action research which was aimed to find the effect of using rich pictures toward students’ speaking ability on sharing understanding of a situation. The population of this research was all of the students in the first semester of Islamic Business Management in UIN Imam Bonjol Padang. Two classes have chosen randomly as the sample by using cluster sampling technique. The total students involved were 35 students. The researcher conducted it in two cycles; each cycle consisted of four meetings. Each cycle involved planning, acting, observing and reflecting. The data were taken through direct observation. Observation checklist and field notes were used to collect qualitative data. Pre-test and post-tests were conducted to see the improvements in speaking. The data were analyzed by using four steps. They were data collection, data reduction, data display, drawing conclusion. The findings showed that rich pictures gave a positive effect on students’ speaking ability on sharing understanding of a situation and reformulation technique could better improve students’ grammar in speaking at the first semester of Islamic Business Management in UIN Imam Bonjol Padang
교정시설에서의 양심적 병역거부자에 대한 대체복무 시 고려사항

Korean constitutional Court decided in June 2018 constitutional infraction regarding the article 5 of the military service law in korea which runs short the introduction of alternative services for conscientious objectors to military service. Be due to the principle of proportionality of socially vulnerable groups related to the conscientious objection to military service. Therefore the legislation regarding the introduction of alternative services for conscientious objectors to military service is under way by government by way of various opinion after deciding to do alternative services system for conscientious objectors to military service by government. Therefore, public interest, democracy, and human rights of its idealogy must be met at the same time as alternative services idealogy in case of alternative service by reference to equivalence with active duty and UN recommandation regarding it. I considered the various expected problems and suggested various cautions, form for realizing its idealogy after introducing correctional alternative services, related option, statistics of conscientious objectors to military service and Taiwan precedent regarding it. In conclusion, action plans for correctional alternative services idealogy for conscientious objectors to military service must be met at the same time.
Feature of use of quest technologies in an educational institution of the closed type

The article describes the features of the introduction of quest technologies in closed educational institutions, we noted the positive impact on the quality of education, which is confirmed by the pedagogic experiment in the study of the discipline "Informatics". The effectiveness of the experimental work is the positive dynamics of mastering the taught material by the military students and the growth of their motivation to learn, as almost all their activities are clearly regulated by military regulations, including the types of training sessions and the forms of their conduct. Non-standard and creative classes bring diversity and liveliness to the measured educational process of future military specialists, but at the same time quest technologies help them master the decision-making process in an unusual situation, which is necessary in solving combat problems. The authors note that the introduction of such classes in the educational process of educational institutions of the closed type can accelerate the process of formation of universal competences aimed at the development of communication abilities of the individual, such as the УК 1, 2, 4, 5.
Detection-by- Tracking Boosted Online 3D Multi-Object Tracking.

In the Multi-Object Tracking (MOT) scenario, on top of existing image-based approaches, 3D information can also be essential to improving tracking performance. This paper introduces a way to leverage 3D information, and establishes a Bayesian model that can easily be integrated with 2D and 3D features. Furthermore, to remedy fragmented trajectories due to detection failures in the tracking-by-detection framework, we propose a novel detection-by-tracking method that prevents trajectory interruption. We evaluate our online tracking approach on the KITTI tracking benchmark, and show that by using our proposed 2D and 3D features along with detection-by-tracking, we are able to achieve state-of-the-art results on both cars and pedestrians with a runtime as fast as 16–50 FPS.
Summaration Generating Timeline for Evolutionary Tweet Streams and Categorizing Tweets

Now a day's social networking sites are the fastest medium which delivers news to the user as compared to the newspaper and television. There so many social networking sites are present and one of them is Twitter. People run-out of time and even then, they find a small time to know what's happening all over the world. So, in such hefty schedule people can't go through all the tweets which people post all day long and the model proposed is summarizing the tweets and generating timeline for evolutionary tweet streams. It consists three components, first tweet stream clustering for clustering tweets using Bisect kmeans cluster algorithm, so that the tweets which are taken from the twitter Application Programming Interface (API) are preprocessed and then cluster. Second component tweet summarization cluster vector technique for generating rank summarization using LexRank algorithm, third component is to categorize tweets into positive, negative and neutral tweets using sentiment analysis where tweets are collected by using hash tags (screen names) of twitter individual account so that it will display the positive, negative ,neutral tweets of that individual account. Doing categorization tweets for the particular userthen it will display the positive tweets percentage:22.2%,negative tweets percentage 11.11%,neutral tweets of 66.6% and the results are plotted on bar and pie chat.
THE STRUCTURE OF THE CREATIVITY OF SCIENTIFIC AND PEDAGOGICAL WORKERS

СТРУКТУРА КРЕАТИВНОСТІ НАУКОВО-ПЕДАГОГІЧНОГО ПРАЦІВНИКАІлляхова М.В., к. філос.н., доцент,
THE EFFECTIVENESS OF EXPRESSIVE WRITING IN MANAGINGEMOTIONAL ABILITY IN ADOLESCENT AT JUNIOR HIGH SCHOOL OF MUHAMMADIYAH 1 IN PURWOKERTO

This study aimed to test whether there is any significant effectiveness of expressive writing inmanaging emotional ability at Junior High School of Muhammadiyah 1 students in Purwokerto. Thisstudy used quasi expreimental method with nonrandomized pretest-posttest control group design andthe number of reserach subjects is 20 persons who were devided into control group and experimentalgroup. The instrument used for collecting the data is managing emotions scale. The reliability of thisstudy was measured by alpha cornbach and result showed that α = 0,745. The data analysis is done byusing non-parametic statistical technic, Wilcoxon Signed Ranks Test with the help of SPSS 20.0 forwidows programme. Based on the result of data analysis showed that the level of managing emotionsin experimental group significantly increase after expressive writing session with the value of Asymp.Sig = 0,009 < 0,005. The result showed that expressive writing is effective to increase managingemotional ability in adolescent.
Marathi text summarization using Neural Networks

The internet is comprised of web pages, news articles, status updates, blogs and much more. It is difficult to navigate through this data as it is unstructured and usually discursive. Condensed versions of this data are generated so we can navigate it more effectively as well as check whether the larger documents contain the information that we are looking for. We propose a system for extractive text summarization method using neural networks for Marathi text. Extractive summaries or extracts are produced by identifying important sentences or words which are directly selected from the document. To perform extractive text summarization we propose to use a Recurrent Neural Network (RNN) – a type of neural network that can perform calculations on sequential data (e.g. sequences of words) – as it has become the standard approach for many Natural Language Processing tasks. The translation of the Marathi text to English will be done using the Google translate API for this proposed system.
Research on recommender algorithm optimization based on statistics and preference model

The personalized recommender system has become a research hotspot in the field of artificial intelligence (AI) because it can effectively deal with information overload. Cold start and data sparsity are two major challenges for smart recommender systems. This paper proposes an optimized recommender algorithm based on statistics and preference model that is able to solve the problems of data sparsity and cold start by means of statistics. Taking the film scoring system as the test object, the Gaussian model is established for the video type preference. The results show that the optimized algorithm can better deal with cold start and data sparsity, and achieve more accurate prediction recommender score.
Nuovi documenti sul conflitto dell'Interdetto (1606-1607)

A XVII Century manuscript containing Italian poems is preserved in the Trinity College Library, in Cambridge. Many of the texts refer to the events occurred between the Republic of Venice and the Church of Rome during the so-called Interdict (1606-7). The aim of the article is to focus on an anonymous satirical dialogue in venetian dialect containing the account - from a venetian perspective - of some improper acts committed by the Jesuits before their banishment. A great deal of interest about this dialogue can be found in the historical and cultural context of production, the literary genre and the obscene lexicon.
CHOREOGRAPHING INTERACTION WITHIN THE U-M HOMELAB: CONSIDERATIONS FOR AN OLDER ADULT POPULATION

Abstract Drawing from the lens of architecture, designing a research study for a controlled, simulated environment requires the consideration of three primary types of interaction involving people and infrastructure. These three types include the interface between and among the respondent(s) and the researcher(s), the interface between and among the people playing these roles and the infrastructure surrounding them (inclusive of self-report measures, sensing technology, furniture, etc.), and the interface between and among the various types of study infrastructure. The flow of a study across these interfaces becomes a form of choreography, with implications for protocol adherence, reproducibility, and data quality. Recently, a pilot study assessing an older adult population’s upper-body performance was our first iteration of research utilizing a simulated environment: the U-M HomeLab, an ADA-accommodating, one-bedroom apartment built within the basement of a large research facility. Nine participants, aged 61 to 72, with self-reported upper-body weakness completed a series of tasks resembling activities of daily living, such as lifting laundry baskets and vacuuming. By backtracking through our development of this pilot study, we illustrate how considerations of interface play a significant role across every stage of study design, incorporating aspects of wayfinding, dialogue, safety, acclimation, and visibility that are relevant to an older adult population. From these reflections, considerations of interface inform a “check-list” for simulation choreography, providing guiding questions for assessing these types of interactions while iterating through study design.
Double Decision Method for Static Gesture Based on Fully Convolutional Networks

This paper proposes a static gesture recognition method based on Fully Convolutional Networks (FCN). By studying the Characteristics of Classic Static Gesture Image and its FCN Segmentation Characteristics, the double decision algorithm of the method is realized by the utilization of both category and shape information in the FCN segmentation results. The method also includes a data augmentation algorithm which can effectively improve the generalization ability of the model. The experimental results show that the method achieves a win-win situation of accuracy and robustness.
Robust Embedding Regression for Face Recognition

Classical subspace learning methods such as spectral regression (SR) and its sparse extensions are all two-step ways, which will lead to a suboptimal subspace for feature extraction. Another potential drawback is that these methods are not robust to the outliers and the variations of data because they use Frobenius norm as the basic distance metric. To address these problems, a novel face recognition method called robust embedding regression (RER) is proposed, which performs low-dimensional embedding and jointly sparse regression simultaneously. By this way, the optimal subspace can be obtained. Besides, we not only emphasize $$ L_{2,1} $$ -norm minimization on both loss function and regularization terms, but also use $$ L_{2,1} $$ -norm as the basic distance metric. Therefore, we can obtain jointly sparse projections in the regression process and more stable and robust low-dimensional reconstruction in the embedding process. Moreover, we use a more generalized constraint to improve the generalization of RER. The corresponding optimal solution can be computed by generalized eigen-decomposition via an iterative optimization algorithm. Theoretical analysis and experimental results prove the convergence of RER. Extensive experiments show the proposed RER has a better performance than other related methods on four well-known datasets.
Divide and Extract – Disentangling Clause Splitting and Proposition Extraction

Proposition extraction from sentences is an important task for information extraction systems.Evaluation of such systems usually conflates two aspects: splitting complex sentences into clauses and the extraction of propositions.It is thus difficult to independently determine the quality of the proposition extraction step.We create a manually annotated proposition dataset from sentences taken from restaurant reviews that distinguishes between clauses that need to be split and those that do not.The resulting proposition evaluation dataset allows us to independently compare the performance of proposition extraction systems on simple and complex clauses.Although performance drastically drops on more complex sentences, we show that the same systems perform best on both simple and complex clauses.Furthermore, we show that specific kinds of subordinate clauses pose difficulties to most systems.
Blind Classification of MIMO Wireless Signals

Classification of MIMO wireless signals with no prior information of the number of transmitter antenna elements and channel(s) is of tremendous importance in both military and civilian applications. In this research, we present a novel generalized algorithm for classification of digital modulation combined with the recognition of the number of transmit antennas. Our algorithm is developed to rely on only one receiver equipped with a single antenna and does not require any prior channel knowledge. We have introduced a two- phase classifier system. In the first phase, we use a discrete-wavelet transform on the received complex samples to separate the different modulation classes. Following that, we use the K- nearest neighbor approach coupled with k-means clustering to further classify the signals, utilizing the symmetry and relative distances of the constellation points. The performance of the classifiers at different stages of the algorithm demonstrates a high accuracy in an SNR regime where the packets can be decoded.
Model of Reconfigurable Steganographic System Using Blockchain Technology

An effective method for solving data security problems is proposed. A new approach to the design of steganographic system based on the three basic methods - the introduction of parts of a shared secret into images with the possibility of further extraction of secret information, authentication of parts of a secret, self-healing of this security system. Such a system provides a greater degree of protection and secure data storage. The Windows application implements the proposed steganographic model, has no analogues and meets all the requirements set for steganographic software.
[Application of parametric g-formula in causal analysis].

At present, traditional methods on statistics have limitations in controlling time- varying confounding. This paper introduces an analysis method, parametric g-formula, which would adjust time-varying confounding, and also exemplifies the steps of its implementation for purpose to provide a new reference for researchers to deal with long-term observational data.目前，传统的统计学方法在控制时依性混杂等方面存在局限，本研究详细介绍了一种可调整时依性混杂的分析方法——parametric g-formula，并举例说明了实施的具体步骤，为研究者处理长期观察性数据提供了新的参考。.
Students’ Satisfaction Level on Eenglish Day Program at Darul Ulum Islamic Boarding School Banda Aceh

The purpose of this study were to measure the level of students’ satisfaction on teachers’ supervision, assessment sessions, and the skills and learning experiences students’ got from English Day program at Darul Ulum Islamic Boarding Banda Aceh. Besides that it also want to find out whether there is a significant different between male and female students’ satisfaction toward English Day program at Darul Ulum Islamic Boarding School Banda Aceh. The data were gathered at Darul Ulum Islamic School Banda Aceh. The respondents of this study were the third year students of Darul Ulum who are enrolled in Dayah program. There were 114 students who involve as the respondents of this research. This study found that students’ at Darul Ulum Islamic School were satisfied toward English Day program at their schools (Mean = 3.71, SD = 1.06). Furthermore, there was no significant different between male and female students’ satisfaction toward the program ( p- value = 0.09 > 0.05). However, this research found that students at Darul Ulum Islamic Boarding School felt that the grammar leaning and training in English Day program still need a lot of improvement.
Influence of camera types in histogram distribution on morphological identification of myeloblast cell based image segmentation

Abstract A histogram is a graphical display that shows how often the data appears in a data set. In a digital image processing, it becomes necessary to determine the follow-up process to be performed. This paper will discuss the effect of camera types in myeloblast cell identification especially about the effect of histogram distribution on the whole process of myeloblast cell image segmentation. This is a part of our research in identifying white blood cells in the development of computer aided diagnosis for the identification of blood disorders leading to leukemia for rural areas. On the system we are developing, we use the camera as the primary tool in data acquisition. The camera is placed on a conventional microscope. We proposed four types of camera. The result show that camera type 2 has excellent image quality and pixel value. Therefore, in order to develop computer aided diagnosis as a leucocyte classification tool, we recommend to use camera type 2.
Thank You to Our 2018 Peer Reviewers

Abstract On behalf of the journal, AGU, and the scientific community, the Editors would like to sincerely thank those who reviewed manuscripts for Geophysical Research Letters in 2018. The hours reading and commenting on manuscripts not only improves the manuscripts but also increases the scientific rigor of future research in the field. We particularly appreciate the timely reviews, in light of the demands imposed by the rapid review process at Geophysical Research Letters . With the revival of the “major revisions” decisions, we appreciate the reviewers' efforts on multiple versions of some manuscripts. Many of those listed below went beyond and reviewed three or more manuscripts for our journal, and those are indicated in italics. In total, 4,484 referees contributed to 7,557 individual reviews in journal. Thank you again. We look forward to the coming year of exciting advances in the field and communicating those advances to our community and to the broader public.
LibGuides: Database Trials: Home

Information on recent and upcoming subscription database trials offered through the Kirkwood Library Services
Training future teachers to interact with young children in the conditions of inclusive groups of preschool educational institutions

Н. М. Толкова, Т. В. Тимохина, И
Emerging Constructions in the L2 Italian Spoken by Low Literate Migrants

The emergence of autonomous interlanguage constructions is widely recognised in the literature on L2 Italian. These constructions involve the overgeneralisation of functional forms learners are in the process of acquiring, e.g., siamo in siamo mangiare ‘be:1PL eat:INF’ (target Italian: mangiamo ‘eat:1PL’); facciamo in facciamo cucinare ‘do:1PL cook:INF’ (target Italian: cuciniamo ‘cook:1PL’); per in piaciare per uscire fuori ‘like:INF for go:INF out’ (target Italian: mi piace uscire fuori ‘to.me like:3SG go:INF out’. ‘Be’/‘do’ forms are assigned a morphosyntactic function to convey temporal/aspectual/person information instead of inflecting the verb, while per ‘for’ is a generic subordinating marker. Based on new corpus data, I claim that such constructions may correlate with a learners’ degree of first language (L1) literacy. In detail, and consistent with, both literate and non-literate learners overgeneralise functional forms while working on the newly acquired morphosyntax; this shows that the non-literates are perfectly able to subconsciously identify functional forms in the input. Non-literates, however, show a stronger tendency than literates to select lexical-syntactic sub-patterns.
Crime Analysis and Prediction using Data Mining Technique

The aim is to provide a review of research regarding the prevention of crime in society. It implements various data analysis algorithm which gives the connection between crime and its pattern. The system takes the previous year records of crimes such as murder, kidnapping and abduction, dacoits, robbery, burglary, rape and other such crimes from authentic government sources. As we know the crime rates are increasing continuously and there is need to have control over the crimes to decrease the crime rate. For this there is need of such user friendly software which can analyze and detect the pattern of crime which already occurred and predict the crime. The system is mainly based on data mining concepts and also implements machine learning algorithms. It is very useful and helpful for police. It plays major role in crime investigation. It shows the areas having more rate of crimes. So that according to the crime rate police force on that area can be allocated. It is helpful for common people also. System will analyze and detect the crime rate and provide the visualized form.