Reviewerly/exHarmony huggingface dataset:
Over-Specification of Small Cardinalities in Referential Communication

The paper presents experimental evidence for the over-specification of small cardinalities in referential communication. The first experiment shows that when presented with a small set (2, 3, or 4) of unique objects, the speaker includes a numeral denoting a small cardinality into the description of given objects, although it is over-informative for the hearer (e.g., "three stars"). On the contrary, when presented with a large set of unique objects, the speaker does not include a numeral denoting a large cardinality into their description, so she produces a bare plural (e.g., "stars"). The effect of small cardinalities resembles the effect of over-specifying color in referential communication, which has been extensively studied in recent years (cf. Tarenskeen et al., 2015; Rubio-Fernández, 2016, among many others). This suggests that, like color, small cardinalities are absolute and salient. The second experiment demonstrates that when presented with an identical small set of monochrome objects, the speaker over-specifies a small cardinality to a much greater extent than a color. This suggests that small cardinalities are even more salient than color. The third experiment reveals that when slides are flashed on the screen one by one, highlighted objects of small cardinalities are still over-specified. We argue that a plausible explanation for the salience of small cardinalities is a subitizing effect, which is the human capacity to instantaneously grasp small cardinalities.
The Effect of Mind Mapping Strategy on Students’ Writing Ability

The aim of this research was to find out the effect of using mind mapping on  the  writing ability  of  the seventh  grade students at SMP Negeri 10 Pematangsiantar in the academic year of 2019/2020. This research was conducted on June 2020. This research was classified as a true-experimental study. It involved 64 students from two groups, Class VII2 (32 students) as the experimental group and Class VII1 (32 students) as the control group. The experimental group was students taught using mind mapping whereas the control group was students taught using conventional technique. The data were obtained by using pre-test and post-test. The data of the pre-test and post- test of both groups were analyzed by using descriptive and inferential statistics. (SPSS 21.0) .The result of the research shows that the testing hypothesis of post-test scores, it is found that tcount (8.63) > ttable (1.67) at the significance level a = 0.05 and degrees of freedom (df) = 62. H0 is rejected and Ha is accepted. So, It means that the mind mapping strategy effect significantly to improve students’ writing ability at the seventh grade of SMP Negeri 10 Pematangsiantar  academic year of 2019/2020
ACS Steganography for Reliable Cloud Arcade

Abstract: In cloud computing distributed assets are shared by means of system in exchange of matter with its environment. Subsequently client can expanse the access their information from anyplace. Simultaneously exist protection and security problems arise because of various causes. Initial one is poignant upgrade in system advances. Another is expanded interestfor future benefit accretion, which make numerous associations to re- appropriate their information hoard. So there is a demand for assured cloud stockpiling management in open cloud condition where the supplier isn't a divulge in one. Our research tends to various data security and protectionassurance problems in a cloud computing condition and suggests a approach for giving assorted security administrations like authentication, consent and classification alongside checking in adjournment 128 piece Advanced Cryptograph Standard (ACS) is utilized to increment information security and classification. Incloud, aided technical information is encoded &amp; decoded engrossing ACS and eventual transmit on a cloud. The supported model uses Short Message Service (SMS) mechanism by keeping away from unapproved access to client information. Keywords: Network, Authorization, Confidentiality, Security, authorized searchable cryptograph
Can Virtual Pottery Become The New Norm and Replace The Ceramic Studio

The demand for practising physical activity for training and educational purposes has increasedglobally. This paper presents the evaluation of using creative technological and fabrication innovation as fundamental alternative to reality in a safe space. The new normal era is about usingcollaboration technologies to the maximum1, by developing skills and improving self-productionof virtual collaborative work2,such as artwork using virtual pottery as an example.
Seasonal Variation in Abundance, Distribution and Environmental Impacts of Geomicrobiological Communities in the Lower Calabar River Channel, Calabar, Nigeria

Microbes act as geochemical agents for the degradation of environmental contaminants hence their abundance and distribution influences ecological response to pollution stress in soils, sediments, and rivers systems and in environmental protection. In this paper seasonal variation in geomicrologicl abundance in the river water, sediments and adjoining soils have been assessed. The results indicate a higher microorganism count during the wet season. The presence of E. coli in 100ml of water implies that water is unsuitable for any domestic use without disinfection. The Faecal and Total Coliform counts also indicate that undesirable sources are contaminating the river and posing environmental health risk. However environmental self-remediation and possible absence of sources of the microorganisms was promoted during the wet season than the dry season.
Research on Particle Swarm Optimization Clustering Algorithm for Big Data Based on Cloud Storage Environment

With the development of the times, the amount of various data increases exponentially in the process of information processing, and all walks of life use computers to manage and count a large amount of data. There are more and more data piled up in the database, and the scale of data is unprecedented. It is difficult for ordinary database technology to efficiently manage and utilize these data and their hidden important information. Under the background of cloud computing, the main purpose of big data information processing is to realize data clustering. Cluster analysis is an unsupervised learning process, which aims to classify the data of a group of category attribute positions under certain requirements, and make the data similarity between these categories as low as possible, and the data similarity within the categories as high as possible. In this paper, an optimized clustering algorithm for big data in cloud storage based on optimized particle swarm optimization algorithm is proposed, and the improved design of big data clustering algorithm is carried out by using particle swarm optimization algorithm.
Optimization of a Wireless Sensor Network-Based Smart Elderly Location Management System

In this paper, wireless sensors are used to design and build a location management system for smart aging, and the optimization of this system is analysed. The function and structure of the positioning system are designed and implemented. Next, the system commissioning process and field implementation results are summarized and analysed to guarantee the reliability and integrity of the system. Finally, the system requirements and implementation are integrated to realize the basic requirements of the IoT-based elderly positioning management system and reserve the interface for later expansion. Finally, the system excellence and functional usability tested through unit testing as well as comprehensive testing. In this paper, a theoretical analysis of the prediction algorithm is carried out for the disease prediction module in the health monitoring software of the smart senior care system. To improve the accuracy of the prediction, the traditional BP neural network algorithm is optimized using DS evidence theory, thus fusing multiple sets of prediction results obtained from the BP neural network into a more accurate set of data, and the performance of the algorithm before and after the improvement is compared. The IoT-based home health management for the elderly starts from the health service demand of the elderly, explains the basic concept of IoT technology and home health management for the elderly, and analyses the feasibility of home health management for the elderly and the advantages of IoT technology in-home health management for the elderly; through the field research, the IoT-based home health management platform for the elderly is carried out from three aspects of users, business, and technology. The design covers the platform architecture and functional modules of the IoT-based senior home health management platform, which can solve the problem that the elderly can spend a comfortable life in their old age without going home.
Spatio-Temporal Inversion of Fault Creep Based on GNSS Observation Network Filtering

We attempt to quickly detect the fault screep deformation from the large GNSS observation network, and accurately invert the spatio-temporal distribution and evolution characteristics of faultcreep. GNSS network filtering, crustal deformation information, and spatio-temporal distribution inversion of fault creep are combined into one method. According to the whole GNSS network spatio-temporal observation array and the high space correction of fault deformation, and based on the principal component analysis of GNSS displacement spatio-temporal series covering the fault surface, the spatio-temporal distribution and evolution process of creeping fault can be detected and retrieved quickly by using principal component information. Taking the 2005 Sumatra M_W8.6 post-seismicslip and 2006 Guerrero slow slip event for examples, spatio-temporal inversion of fault creep is rapid realized. The results agree well with previous research.
LibGuides: Landing Your Dream Job: Job Requirements

This guide is based on information provided by Jan-Marie Lanuzza, Experiential Education Coordinator and Jean Moats, Director of Library Services.
COVID-19 NEWS A WAY TO PROMOTE STATISTICS CLASSES

Appears in: ICERI2021 Proceedings Publication year: 2021Pages: 9574-9578ISBN: 978-84-09-34549-6ISSN: 2340-1095doi: 10.21125/iceri.2021.2213Conference name: 14th annual International Conference of Education, Research and InnovationDates: 8-9 November, 2021Location: Online Conference
Applying Machine Learning Models to Classify Xenophobic Tweets Against Asians, With Data Analysis of Hate Crimes

This paper offers insight to the COVID-19 pandemic and its effect on people's attitudes towards certain minority groups, particularly Asians, Asian-Americans, and Pacific Islanders. With the Coronavirus first being identified in Wuhan, China, xenophobia, and racism towards groups pertaining to the supposed origins of the COVID-19 pandemic have been on the rise. Along with the violent physical attacks on these groups, this paper will focus on the online hate and xenophobia that Asians face due to their race, ethnicity, country of origin, and/or others. In this paper, Python is employed as the primary programming language; external libraries such as pandas, NumPy, sklearn, WordCloud, and matplotlib are imported for handling data. In analyzing the racism against Asians, keywords such as “Asian Hate,” “Hate Crime” and “anti-Asian” are utilized, and the Python programming language is employed to sift through Google News articles with these keywords and identify patterns in the words’ usages. Furthermore, the frequencies of the keywords’ usages on online platforms such as Twitter are also analyzed in the form of comma-separated files, with patterns of usage over time before and after the COVID-19 pandemic began being identified. Randomly selected tweets are classified into five categories: anti-Asian, not anti-Asian, not English, hate against others racial groups, and support towards Asians. These tweets are classified by artificial intelligence using machine learning methods of logistic regression, support vector machine, and Naive Bayes; the artificial intelligence was taught using pre-classified data sets. Classified tweets represent the implication and relevance between the tweets and xenophobia. This classification model of xenophobia is expected to be used in social media content censoring and enhance the internet chatting etiquette. The goal of this classification model is to terminate anti-Asian hatred and lower the overall level of societal racism.
Punctuation in L2 English: Computational Methods Applied in the Study of L1 Interference

The International Exchanges on the Study of Writing Series publishes books that address worldwide perspectives on writing, writers, teaching with writing, and scholarly writing practices, specifically those that draw on scholarship across national and disciplinary borders to challenge parochial understand-
SISTEM PAKAR DIAGNOSA KERUSAKAN MOTOR KAWASAKI KLX150 MENGGUNAKAN METODE CASE-BASED REASONING DENGAN ALGORITMA 3W-JACCARD

In this day and age, motorbikes have an important role in transportation facilities, motorbike users are increasingly dense, especially in the city of Semarang, which is not accompanied by information media. The lack of media information regarding damage to the motorbike makes it difficult for someone to know the cause of the damage to the motorbike, not to mention the Kawasaki KLX150 which happens a lot of engine damage. For this reason, the expert system diagnoses motor damage by knowing the type of motor damage, after that diagnostics and alternative solutions to the problem are carried out. With this, the method and algorithm used is Case-Based Reasoning (CBR) using the Similarity 3W-Jaccard calculation, this second method and algorithm can be used to diagnose damage from the symptoms in the database. Each symptom has a weighted value of each, including a value of 5 (five) for severe symptoms, relating to engine and electrical parts, a value of 3 (three) for moderate symptoms, relating to braking and chains, a value of 1 (one) mild symptom, relating to with the indicator on the speedometer. The system will display 5 (five) types of damage calculated using the 3W-Jaccard Algorithm sorted by the highest value. The revision process will appear if the similarity calculation results are less than 0.6 (zero point six) because it is considered that the results are not sufficiently similar to the solution to be repaired, it needs to be reviewed and will be entered into the review table, then the expert will find a solution.
TRANSFORMATIONAL LEADERSHIP IN A MULTIDISCIPLINARY TEACHING TEAM OF HIGHER EDUCATION

N. Torres-Hernández1, A.B. Pérez-Torregrosa1, M.J. Gallego-Arrufat1, M.I. López Aliaga2 1University of Granada, Faculty of Education Sciences (SPAIN) 2University of Granada, Faculty of Pharmacy (SPAIN)
Amazon employee fired after coronavirus walkout says company is lying about cases

Amazon says the employee is asking for increased safety but is violating quarantine himself.
Hypertext as a Lens into Interactive Digital Narrative

Interactive Narrative is blessed with a myriad of forms, this richness makes it hard to compare IDN systems or to develop general theories and tools as each example can seem like a special case. We take the approach of using hypertext as a method of inquiry to explore the similarities of different IDN forms. Using the Interactive Process Model to scope our analysis we systematically examine IDN from the perspective of hypertext structure. We show that hypertext can coherently explain the transition functions (the parts of the system that manages narrative state) across calligraphic, sculptural (storylets), adaptive, database driven, parser, and game narratives. In doing so we define a Hypertext Lens, made of layers of lexia state, story state, world model, and story engine. We also show how sculptural systems, parser fiction, and game narratives make use of interaction and presentation engines that complement and build upon these structures. Rather than trying to reconcile hypertext and IDN our approach instead presents hypertext as a useful thought pattern for approaching IDN that can bridge the gap between IDN forms and clarify their relationships to one another. Our analysis clearly shows a fluidity of form, encourages experimentation, and provides a mechanism through which theory can be applied widely.
Problems, Puzzles, and Challenges

We give here some problems and puzzles that need a combination of thought and computation to solve. Please submit your solutions to the journal at mapletransactions.org. Include the problem number with your solution.
A weight initialization method for fuzzy neural network based on rule partition

The fuzzy neural network has a strong ability in solving pattern recognition, function approximation and control problems, so it plays an increasingly important role in the field of artificial intelligence. Scholars have confirmed that the initial weights have a great impact on the subsequent learning of the fuzzy neural network. However, due to the complexity and uncertainty of the black-box model, the initialization of the model is always a problem. This paper proposes a weight initialization method based on rule partition for the fuzzy neural network to solve this problem. The connection weights between the membership function layer and the rule layer are initialized by classifying weight intervals according to different rules, which could reduce the similarity of fuzzy rules. Finally, the proposed method is verified by some experiments. The results show that the fuzzy neural network initialized by rule partition achieves better generalization performance, which proves the superiority of this method.
MODEL OF FORMATION OF ARTISTIC AND CREATIVE ACTIVITY OF FUTURE TEACHERS OF FINE ARTS IN THE PROCESS OF PROFESSIONAL TRAINING

The article investigates the problem of the formation of artistic and creative activity of future teachers of fine arts in the process of professional training. In this context, the author characterizes its main structural components, namely: purpose, principles (nature, culture, humanization, subjectivity, science, problems, active interaction of environmental actors, additionality, optimization, creativity, support for creative initiatives of subjects educational environment, the formation of emotional and value attitude to the world). The article indicates the motivational, meaningful and activity components; highlights the pedagogical conditions (development of a positive attitude of future teachers of fine arts to artistic and creative activities; organization of artistic and creative activities of future teachers-artists on the basis of problem-based learning; use of information and computer technologies in the formation of artistic-creative activity of future teachers of fine arts in the process of professional training). The methods, techniques, forms and tools necessary for the formation of artistic and creative activity of future teachers of fine arts in the process of professional training, are mentioned by the author. Methods: problem-based learning, problem situation, problem statement, exploratory, research, heuristic conversation. Techniques: sharpness and surprises, paradoxes, the struggle of ideas, concretization and personification, comparison. Forms: lectures, practical, demonstration of problem experience, practical solution of a didactic problem, films-presentations, slide-films, debates, classes-opening. Means: textbooks, initial programs, technical equipment (computers, presentation equipment), map of psychological and art analysis of the work of art, map of assessment of figurative expressiveness and literacy of creative work.&#x0D; Keywords: artistic and creative activity; artistic and creative work; artistic and pedagogical activity; future teachers of fine arts; fine arts; professional training; model; institution of higher education.
ANALISIS KEKERINGAN DI KABUPATEN SRAGEN DENGAN METODE PALMER, THORNTHWAITE, DAN STANDARDIZED PRECIPITATION INDEX

El Nino and La Nina in Indonesia are one of the reasons that caused climate changes, which has possibility of drought and flood disasters. Sragen Regency wherethe dry season occurs, drought happened meanwhile other areas experience floods and landslides. A study on drought needs to be carried out so as to reduce the risk of losses due to the drought hazard. This study is to determine the drought index in Sragen Regency based on several methods and the correlation of each methods and its suitability to the Southern Oscillation Index (SOI) and rainfall. Drought was analyzed using several methods such as Palmer Drought Severity Index (PDSI), Thornthwaite-Matter, and Standardized Precipitation Index (SPI) then correlated with SOI to determine the most suitable method for SOI. The variables are applied in this method are rainfall, temperature, and evapotranspiration. The results showed that the drought potential of the Palmer method is only in Near Normal conditions, which is 1%, Severe drought conditions are 29% for the Thornthwaite-Matter method, and Extreme Dry conditions only reach 1,11% for the SPI method. The PDSI and SPI methods are inversely proportional to the Thornthwaite-Matter method and the most suitable method for SOI values or rainfall is the SPI method. These three methods can be identified the potential for drought with only a few variables so that they could be applied if they only have those data.Keywords: Drought, PDSI, Thornthwaite-Matter, SPI, SOI
AWARENESS THROUGH AUDIO DISSEMINATION IN THE NEW MEDIA TECHNOLOGY

This paper investigates the use of new media technology for audio dissemination that  able to raise awareness among community in the YouTube and Facebook. It also discusses the responses or comments from users of the new media technology. The audio specified was on the new song created and the tools involved were the new technologies via YouTube and Facebook. The new song was written and created specifically for the purpose of this study and the duration of the song is 4 minutes and 27 seconds. There was no video clip involved as the main purpose was to concentrate on the audio. The audio was being ‘shared’ and ‘tagged’ in the YouTube and Facebook for four months. The purpose of the ‘Like’ and ‘Dislike’ buttons in the YouTube and Facebook was to investigate the first objective of the study. The responses or comments from the Youtube and Facebook were taken to fulfil the second objective of the study. The use of the new media technology were hoped to create awareness among users of YouTube and Facebook.
Hide Secret Script Encryption in Video Frames Based on Magic Square

This article hides mystery texts in vidiums using cipher mystery message in vidiums, the objective that work is conceal big datum in&nbsp;&nbsp; frame of video. The fast of increase in rising speed communication nets technologies and make to forward of datum is simple. Thus, it can be suggested modern manner for conceal&nbsp;&nbsp; mystery texts that big size into frame of vidium efficiently, powerful and height capacity. This system depends on of three main steps: the first step: partition texts and ciphering, the second step: partition vidium to a collection of frames, and the final step: hide mystery texts in frame of vidium uses mystery key is magic square. The outcomes of system are excellent in conceal big text without sensible by attacker, through utilized the evaluation of system in each vidium frame in "PSNR, MSE, Entropy, Histogram, and correlation coefficient".&nbsp