Reviewerly/exHarmony huggingface dataset:
Using Word Embeddings in Turkish Part of Speech Tagging

The close relation between the stem (relatively the word meaning) and part of speech tag of the word turns part of speech tagging as an important preprocessing task in natural language processing and understanding problem.For example, if the Turkish word "gelecek" is labeled as noun, the word stem is to be "gelecek" meaning future.If it is labeled as verb, the stem is "gel" and in English it means, "come".In many languages including Turkish, part of speech tagging problem is generally solved by rule based approaches.In this paper, a setup where the neural network architecture SENNA together with word embeddings is employed.The combination of Wikipedia 2016 and METU corpora is utilized in training of word embeddings; PARDER is used in part of speech training and testing.The word embeddings that are obtained by different methods and different vector sizes are evaluated intrinsically considering analogic and semantic similarity distances; and assessed extrinsically based on the performance on part of speech tagging task.
Machine Learning &amp; Time Based Prediction of Breast Cancer Tumor Recurrence

Breast cancer is one of the most deadly and commonly found cancers among women, taking thousands of lives each year. The proposed investigation is an attempt to use various machine-learning techniques to classify and predict the tumor. In the past various studies have successfully predicted the nature of the tumor to be benign or malignant and if the tumor will reoccur or not in the patient’s body. However, there is no previously developed time-based model. This study investigates how long the tumor will take to reappear in the patient’s body or the time patient will take for complete recovery. Various classification models such as Spectral clustering, DBSCAN, and k-means along with prediction models like Support Vector Machines, Decision trees, and Random forest are used.  The extensive analysis can predict the time taken by the tumor to reoccur on the scale of 1 year. This timely prediction of cancer can help the patient to consult the doctor on time thus saving their life.Funding Information: The author has no funding source to declare.Declaration of Interests: The author declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
InfoGuides: Teaching & Learning Team Workshops & Events: Events

This guide provides current information about the University Libraries' Teaching & Learning Team workshops and events.
Comparative Study Of Human Pose Estimation Models

Human Pose Estimation is one of the main research areas in computer vision because of its profusion of applications that can benefit from such a technology. Several works have been done constantly to improve this technology and is still the most debatable and challenging topics in the present. So, we present a novel comparison using existing articulated human pose estimation techniques and tried to propose a better model among them which then help in estimating better appearance models on novel images. In this paper, we have compared four different techniques used widely in computer vision field on certain metrices like pros and cons of each techniques and the best areas where they can work commendable along with their computational efficiency and numerical accuracy.
Detecting Polarity Score Of The Course Feedback Text Reviews Using Customized Sentiment Lexicon

: Commenting on social media about any product, person or event has become a common practice in current trend. This opinion yields and also predicts the reputation about the particular element. So, it is considered most important to detect the exact wavelength of the reviews passed in the social media. This paper aims to facilitate the domain-based sentiment detection by enhancing the existing sentiment lexicon. After enhancing it has attained increased accuracy of 85.1% than the existing lexicon in classifying the positive and negative reviews with fine-tuned pre-processing techniques. And also, the BoW detection has been improved than the existing lexicon. The online course reviews are considered for sentiment polarity detection.
For a prudent use of the term “dyscalculia”

This article offers practitioners some criteria, precautions and conditions for using the term “dyscalculia” with pertinence and usefulness for referring to a certain type of difficulty in mathematics. Psychopathological arguments and diagnostic criteria are presented, the latter of which associate computational difficulties with a precise definition of the “meaning of numbers”.
ANALISIS DEBIT BANJIR DAN DINDING PENAHAN PADA HILIR SUNGAI NGOTOK DI KOTA MOJOKERTO

The Ngotok River in Mojokerto City has a length of 25 km and an area of ​​269.87 km2 of watershed. At the downstream side of the riverbank, marine tourism and green open spaces will be built. This study aims to determine the discharge in the Ngotok River with a return period of 50 years and to anticipate overflows in the riverbank area. The data needed is Rainfall Data for 5 Rain Stations, namely Jombang, Kesamben, Sambiroto, Mojoagung and Terusan 2009 to 2018. Determining the correctness of rainfall data using the multiple mass curve method. In the design of rainfall planning using the algebraic average method while the regional rainfall planning uses the Log Pearson type 3 method. To strengthen the selection of the distribution taken using the Chi-square test distribution test and the Smirnov-Kolmogorov test. Furthermore, the planned flood discharge analysis was carried out using the HSS Nakayasu method. Based on the calculation, it was found that the flood discharge of Buntung River with a 50 year return period was 624,766 m3 / second. River improvement planning uses the HEC-RAS model with the results of overtopping areas at points P1-10, P40, P30, P14, P13, P5 and P2. The control building is a concrete sheet pile W-600 B.
Architecture of the discrete sosine transformation processor for image compression systems on the losless-to-lossy circuit

The hardware implementations of fixed-point DCT blocks, known as IntDCT [1] and BinDCT [2], require some solutions. One of the main issues is the choice between the implementation of the conversion on FPGA, or the implementation on a digital signal processor (Digital Signal Processor, DSP). Each of the implementations has its own pros and cons. One of the most important advantages of the DSP implementation is the presence of special instructions used in DSP, in particular, the ability to multiply two numbers in one clock cycle. Therefore, with the advent of DSP, the limitation on the number of multiplications in algorithms was removed. On the other hand, when implementing a block on an FPGA, we can limit not ourselves to the bitness of the data (within reasonable limits), we have the ability to parallelize all incoming data and implement specialized computing cores for various tasks. In fact, designing multimedia systems on FPGAs reminds the design of similar systems based on the logic of a small and medium degree of integration. Such an implementation has the same limitations: a relatively small amount of available memory, the need to design basic structural elements (multipliers, divisors), etc. It is the inequality of the addition and multiplication operations when they are implemented on FPGAs that caused the search for DCT algorithms with the smallest number of factors. However, even this is not enough, since the structure of the multiplier is many times more complex than the structure of the adder, which made it necessary to look for ways to transform without using multiplications at all. This article shows how, on the basis of integer direct and inverse DCT and distributed arithmetic, to create a new universal architecture of decorrelated transform on FPGAs without multiplication operations for image transformation coding systems that operate on the principle of lossless-to-lossy (L2L), and to obtain the best experimental results in terms of hardware resources compared to comparable compression systems.
Blockchain Technology in the Glance of Consumer Protection

Blockchain technology has shaken the economic and IT-world in the last 10 years, and it’s knocking on the door of the regulators. In many countries the government still has not decided how to deal with this new phenomena, however the clock is ticking: the number of blockchain-wallet users are growing exponentially, thereby the number of consumers getting in touch with – basically – cryptocurrencies are already big enough not to have any rules governing these connections. In this article I would like to highlight some potential advantages and also risks arising from the blockchain technology and the usage of unregulated virtual currencies. I also present a “thought experiment” or possible scenario if we regulate the cryptocurrencies as assets or commodities.
Development of E-Module Media in Learning Arabic for Class X Students of MAN 4 Ngawi

Learning Arabic at MAN , Ngawi only uses LKS or student worksheets as a learning media and uses the lecture method. The students are bored, sleepy, and lack understanding of the material delivered by the teacher. This study aims to develop Arabic electronic module media, find out the media's quality, and determine students' responses to the media. This study uses the type of research and development of the Borg and Gall model. The quality of the product was assessed by one material expert, one media expert, one Arabic teacher, and responded by five students in a limited trial and 26 students in an extensive trial. The instrument used in this study was a questionnaire to see product quality and student questionnaire responses to the product. Data analysis techniques using qualitative and quantitative. The results of this research and development are in the form of Arabic electronic module media. The quality of Arabic electronic module according to material expert, media expert, Arabic teacher successively got a percentage of 88,00%(Very Good), 91,25% (Very Good) and 86,66% (Very Good). While the students' responses to the Arabic electronic module in the limited trial and the extensive trial successively got a percentage of 80,00% (Agree) and 90,23% (Strongly Agree). Based on these results, it can be concluded that Arabic electronic module media is suitable for use as a media for learning Arabic. &#x0D; Keywords: Development, Electronic Module Media, Arabic Learning&#x0D; &#x0D; Abstrak :&#x0D; Pembelajaran bahasa Arab di MAN 4 Ngawi hanya menggunakan LKS sebagai media pembelajaran dan menggunakan metode ceramah. Hal ini membuat peserta didik cenderung bosan, ngantuk, dan kurang memahami materi yang disampaikan guru. Penelitian ini bertujuan untuk mengembangkan media e-modul bahasa Arab, mengetahui kualitas media, dan mengetahui respon siswa terhadap media tersebut. Penelitian ini menggunakan jenis penelitian dan pengembangan model Borg and Gall. Kualitas produk dinilai oleh satu ahli materi, satu ahli media, satu guru bahasa Arab dan direspon oleh 5 siswa pada uji coba terbatas dan 26 siswa pada uji coba luas. Instrumen yang digunakan dalam penelitian ini berupa angket untuk melihat kualitas produk dan angket respon siswa terhadap produk tersebut. Teknik analisa data menggunakan kualitatif dan kuantitatif. Hasil penelitian dan pengembangan ini berupa media ­e-modul bahasa Arab. Kualitas e-modul bahasa Arab menurut ahli materi, ahli media dan guru bahasa Arab secara berturut-urut memperoleh persentase sebesar 88,00% (kategori Sangat Baik), 91,25% (kategori Sangat Baik), dan 86,66% (kategori Sangat Baik). Sedangkan respon siswa terhadap e-modul bahasa Arab pada uji coba terbatas dan uji coba luas secara berturut-urut memperoleh persentase sebesar 80,00%(kategori Setuju) dan 90,23% (kategori Sangat Setuju). Berdasarkan hasil penelitian tersebut dapat disimpulkan bahwa media e-modul layak digunakan sebagai media pembelajaran bahasa Arab.&#x0D; Kata Kunci : Pengembangan, Media E-Modul, Pembelajaran Bahasa Arab.
ICU Days-to-Discharge Analysis with Machine Learning Technology

ICU management depends on the level of occupation and the length of stay of the patients. Daily prediction of the days to discharge (DTD) of ICU patients is essential to that management. Previous studies showed a low predictive capability of internists and ML-generated models. Therefore, more elaborated combinations of ML technologies are required. Here, we present four approaches to the analysis of the DTDs of ICU patients from different perspectives: heterogeneity quantification, biomarker identification, phenotype recognition, and prediction. Several ML-based methods are proposed for each approach, which were tested with the data of 3,973 patients of a Spanish ICU. Results confirm the complexity of analyzing DTDs with intelligent data analysis methods.
Bayesian GLMM: Language samples (Collins et al., 2021)

Purpose: Generalized linear mixed-model (GLMM) and Bayesian methods together provide a framework capable of handling a wide variety of complex data commonly encountered across the communication sciences. Using language sample analysis, we demonstrate the utility of these methods in answering specific questions regarding the differences between discourse patterns of children who have experienced a traumatic brain injury (TBI), as compared to those with typical development.Method: Language samples were collected from 55 adolescents ages 13–18 years, five of whom had experienced a TBI. We describe parameters relating to the productivity, syntactic complexity, and lexical diversity of language samples. A Bayesian GLMM is developed for each parameter of interest, relating these parameters to age, sex, prior history (TBI or typical development), and socioeconomic status, as well as the type of discourse sample (compare–contrast, cause–effect, or narrative). Statistical models are thoroughly described.Results: Comparing the discourse of adolescents with TBI to those with typical development, substantial differences are detected in productivity and lexical diversity, while differences in syntactic complexity are more moderate. Female adolescents exhibited greater syntactic complexity, while male adolescents exhibited greater productivity and lexical diversity. Generally, our models suggest more advanced discourse among adolescents who are older or who have indicators of higher socioeconomic status. Differences relating to lecture type were also detected.Conclusions: Bayesian and GLMM methods yield more informative and intuitive results than traditional statistical analyses, with a greater degree of confidence in model assumptions. We recommend that these methods be used more widely in language sample analysis.Supplemental Material S1. Models used in the main analyses and the Markov chain Monte Carlo (MCMC) sampling procedure.Collins, G., Lundine, J. P., & Kaizar, E. (2021). Bayesian generalized linear mixed-model analysis of language samples: Detecting patterns in expository and narrative discourse of adolescents with traumatic brain injury. Journal of Speech, Language, and Hearing Research. Advance online publication. https://doi.org/10.1044/2020_JSLHR-20-00471
Using Online Lexicons as Sources of Domain-specific Terminology in Translation

The paper focuses on the use of online lexicons in the translation process.A number of online lexicons containing agricultural and environmental terminology are considered.It analyses the ways in which translators use online lexicons and finds that they can be a source of terminological and supplementary information.Comparisons have been made between the printed and online versions of the lexicons and a number of advantages of the online lexicons have been identified.The continual updating of the entries in the online lexicons and the increasing amount of data contained in them were found out.The usefulness of hyperlinks, which allow the use of not only one particular lexicon but also other related Internet sources, is highlighted.
Effects of Learning Immersion on Self-efficacy and Educational Satisfaction : Focused on the Students in the Fields of Aviation

The purpose of this study is to analyze the effect of learning immersion on self-efficacy and educational satisfaction and examine ways to improve educational satisfaction by increasing learning immersion and self-efficacy for students in the fields of aviation, as the importance of and the need for studying learning immersion have risen in the midst of changing learning environments due to the paradigm shift in education and the outbreak of the coronavirus disease (COVID-19). This study of 232 college students in aviation-related fields was analyzed with SPSS 21.0. The main finding of this study reveals that cognitive immersion and behavioral immersion in learning immersion have a meaningful effect on self-efficacy and self-regulating efficacy. This indicates that, as the learners developed their own study plans and other cognitive strategies and actively engaged in and performed learning activities to achieve their learning goals, their such efforts influenced self-regulation ability, leading them to immerse themselves in learning. The result illustrates that learning design with learner-centered approaches and the development and use of concrete educational content based on these approaches are important for enabling college students in aviation-related fields to immerse themselves in learning in online and offline environments and increase self-efficacy and educational satisfaction.
Perception and Satisfaction of International Students on Higher Education Services in Thailand

This research aimed to study international students’ perception and satisfaction on Thai higher education services using quantitative research to explore the opinions by collecting 348 questionnaires from 20150 international students who came to study in Thailand in 2018. The major findings of international students’ opinions on the reasons why students chose to study in Thai higher education were the opportunity to find a job immediately in Thailand after graduation, the high demand in the labor market, and the quality and educational standard. The education information was communicated through the university’s website, a relative or friend’s referral, and announcements from the government. Top challenges found were language and communication, different culture, and day-to-day issues. The major satisfaction issues found were the university’s environment, education system, facilities, tuition fee, and education standard. However, gender do not affect the satisfaction of the stay, except food as a preference. Age factors affect different preferences in terms of atmosphere, Environment and language used. Lastly, racial factors affect different satisfactions in all aspects, at the statistically significant of .05 level.Keywords: Perception, Satisfaction in Educational Services, International Students, Thailand
Distance education as an innovative technology

This article is devoted to the problem of distance education, namely the use of information technology in higher education. This paper examines modern approaches to learning based on Internet technologies, presents the main factors that determine the need for the use of distance learning technology in the education system, shows the advantages and disadvantages of distance education as an innovative form of learning. The article is devoted to the possibilities of expanding the potential of traditional distance education through Internet technologies, describes the grounds for their use and the advantages of using them, and reveals the essential characteristics and specific features of distance learning. The author considers both positive and negative aspects of distance learning and focuses on certain issues of the criteria for evaluating the effectiveness of distance education. There are two types of factors for the use of distance learning in the education system: external and internal factors.
RESEARCH ON THE CURRENT SITUATION AND COUNTERMEASURES OF GUANGXI-ASEAN TELECOM NETWORK FRAUD

Guangxi is connected with many countries of ASEAN, and its geographical advantages have brought a lot of dividends to the bilateral economy. Besides, many negative factors have also quietly emerged. Telecommunication fraud is a new type of crime, which is not only rampant in China, but also a serious disaster area. It has brought many challenges to the rule of law in ASEAN countries. This Journal only takes Guangxi ASEAN telecommunication fraud as the research object, analyzes the current situation and characteristics of transnational telecommunication network fraud, and then analyzes the judicial dilemma of transnational crackdown on telecommunication network fraud and puts forward countermeasures in combination with judicial practice. Keywords: Transnational, Telecommunication Network Fraud, Jurisdiction. Abstrak Guangxi terhubung dengan banyak negara ASEAN, dan keunggulan geografisnya telah membawa banyak keuntungan bagi ekonomi bilateral. Selain itu, banyak faktor negatif juga diam-diam muncul. Penipuan telekomunikasi adalah jenis kejahatan baru, yang tidak hanya merajalela di Tiongkok, tetapi juga daerah bencana yang serius. Ini telah membawa banyak tantangan pada supremasi hukum di negara-negara ASEAN. Jurnal ini hanya mengambil Guangxi ASEAN menegnai telekomunikasi sebagai objek penelitian, menganalisis situasi saat ini dan karakteristik penipuan jaringan telekomunikasi transnasional, dan kemudian menganalisis dilema yudisial penumpasan transnasional pada penipuan jaringan telekomunikasi dan mengajukan langkah-langkah penanggulangan dalam kombinasi dengan praktik peradilan.
BITING BEHAVIOURS AND PEAK RANGE OF MOSQUITO Armigerous subalbatus IN DIFFERENT SITES

The Armigerous subalbatus mosquitoes biting behaviour and peak values were observed from different sites at K.K nagar in Erode district, Tamilnadu. Armigerous subalbatus collected in five different sites. The Armigerous subalbatus high peak is observed from November to March. The Armigerous subalbatus numbers of mosquitoes were observed from five different sites. The maximum number of total mosquitoes was recorded as 178 and collected at the site of Open Dark Place (Sewage). The minimum total number of mosquitoes was observed as 37 from Open Light Place (Sewage). In the outdoor collection of total mosquitoes was recorded as 32. The Armigerous subalbatus mosquitoes were observed in the site of Open Place was noted as 14 and in Open place total mosquitoes were recorded as 8. The peak of the biting activity is observed by the intensity of ambient light at the time of sunrise and sunset. The standard deviation value of the morning peak falls was recorded as 06.30 ±0.173 at 06.30 hours in 50% value of morning time.  The standard deviation value of the evening peak falls was noted as 18.30 ±0.223 at 18.30 hours. This noted that the rate of change in light intensity and not fixed level or value is the critical factor, which observes the activity peak of biting mosquitoes.