Reviewerly/exHarmony huggingface dataset:
Adjective and Adjective Verb Conceptual Dictionaries in an Integrated Narrative Generation System

Although the main conceptual types in our previous narrative generation study using conceptual dictionaries were verb and noun concepts, other conceptual types are necessary for the implementation of more precise narrative generation functions.In this paper, we prepare frameworks for adjective and adjective verb concepts in our narrative generation system, an integrated narrative generation system (INGS).Furthermore, we provide antonyms for each adjective and adjective verb concept.This function will contribute to introducing contrasting rhetoric into narrative generation.
Backpropagation Model in Predicting the Location of Prospective Freshman Schools for Promotion Optimization

In carrying out promotions, it is also necessary to pay for the manufacture of brochures, banners and other promotional media to provide information to prospective students and attract prospective students to register. Determining the location of the promotion is one of the success factors in promotional activities. In this study, the Artificial Neural Network will be used to predict the location of the promotion. Backpropagation is one of the best artificial neural network methods used for prediction, this method is widely used by researchers in predicting a problem. The data analysis tool used is Matlab or what we call the (Matrix Laboratory) which is a program to analyze and compute numerical data, and Matlab is also an advanced mathematical programming language, which was formed on the premise of using the properties and forms of matrices. From the results of the algorithm used, it is expected to get good accuracy results with some architectural experiments later. So that this research can be an indicator to optimize promotions in the following year in order to attract prospective students to register for AMIK and STIKOM Tunas Bangsa Pematangsiantar
Postprocessing of Edge Detection Algorithms with Machine Learning Techniques

In this paper, machine learning (ML) techniques are applied at an early stage of Image Processing (IP). The learning procedures are usually applied from at least the image segmentation level, whereas, in this paper, this is done from a lower processing level: the edge detection level (ED). The main objective is to solve the edge detection problem through ML techniques. The proposed methodology is based on a classification of edges made pixel by pixel, but the predictors employed for the ML task include information about the pixel neighborhood and structures of connected pixels called edge segments. The Sobel operator is employed as input. Making use of 50 images that belong to the Berkeley Computer Vision data set, the average performance of the validation sets when employing our Neural Networks method reached an F-measure significatively higher than with the Sobel operator. The experiment results show that our post-processing technique is a promising new approach for ED.
The Role of Graphical Communication Outcomes in ABET Criteria 3-g

Graphics has always been a requisite form of communication for engineering practice.The history of major engineering accomplishments is replete with examples of graphical communications: from styli etchings on clay tablets, to near-recent blueprint drawings, to current 3-D computer models.ABET Criterion 3(g) states that students must possess an "ability to communicate effectively."While the communication modes are not explicitly stated by ABET, many engineering programs interpret this criterion 3(g) to be "ability to communicate effectively in written, oral, and graphical forms."Thus, there is a strong argument that engineering faculty should address the graphical communication abilities of their students, along with all their other outcomes assessment practices.Results of a recent survey conducted by the authors suggest an extensive list of student outcomes for engineering graphical communication, as mandated by the new ABET EC2000 outcomes requirement criterion 3 (g).These graphics outcomes, and accompanying performance criteria, represent a consensus of current thinking on engineering graphical communication in engineering education.
Development of Matryoshka Animal Media of Thematic Learning for Sixth Grade of Elementary School

The research of matryoshka animal media development is established based on the problem that exists which is the students' characteristic of inability to focus on and the teacher who got difficulty in giving understanding upon the teaching material toward the students. Therefore, the researchers create a concrete tool for the learning targets. The aims of this research are: (1) to know and describe the development of the matryoshka animal media in thematic learning in grade IV theme 6 sub-theme 2 in SDN Ketawanggede Malang; (2) to know and describe the application of matryoshka animal media in thematic learning in grade VI theme 6 sub-theme 2 in SDN Ketawanggede Malang. This research used ADDIE developmental model. This developmental ADDIE model has 5 stages which are analysis, design, development, implementation, and evaluation. The data analysis technique used in this research is quantitative and qualitative to know the applicable product that has been developed. This research was done in grade IV of SDN Ketawanggede. The result from this developmental research of matryoshka animal media on thematic learning in grade IV theme 6 sub-theme 2 based on the scoring percentage which is (1) the percentage of material validation is 85% within a valid category, and master of media is 88% within a valid category, and right to be used. While the percentage of teachers' responses is 100% and students' response from 25 students shows 96% and pass the criterion. Based on the percentage matryoshka animal media is passed and right to be implemented.
Diurnal analysis of enhanced solar photovoltaic systems using automatic cooling mechanism

Africa and Nigeria in particular are blessed with abundance of sunshine throughout the year. Unfortunately, the region is associated with high temperature values which is a major factor militating against the efficiency of photovoltaic systems in use today. Since for each degree rise in temperature, about 0.50% efficiency is lost, then this implies that once a photovoltaic panel enters the Nigeria atmosphere about 5%-10% of its maximum power is lost. To tackle this problem, a cooling mechanism has to be incorporated into photovoltaic system design for adequate cooling and temperature monitoring. A smart automatic cooling mechanism and a smart photovoltaic MPPT tester were deployed in the study. In situ measurements were obtained in outdoor real-time conditions. The results reveal better performances for voltage, current, power and efficiency for the photovoltaic module whose temperatures was regulated not to exceed the threshold temperature of 350C. This study shows and suggest that lowering the panel temperature of photovoltaics through the application of cooling mechanism should be considered in the design of photovoltaic systems.
SOCIAL MEDIA TO BOOST STUDENT COMMUNICATIVE COMPETENCE

Online learning or people in Indonesia called as pembelajaran dalam jaringan (daring) has been widely used in teaching and learning particularly in pandemic Covid-19. Teachers try hard to create interesting activities with social media as a means for students to develop their communicative competence. This paper is to describe the implementation of Instagram Live Streaming as the media platform for speaking activity in vocational school as well as to reveal the students' perception after implementing Instagram Live Streaming in their speaking activity. This is a descriptive qualitative research for the 11th grader students of a vocational school in rural area. Findings show teachers implemented Instagram Live Streaming in the 2013 curriculum consisting of observing, questioning, experimenting, associating and communicating. This application is applied on the communicating phase. Students’ responses are positive due to its benefits on improving students speaking skills in particular on pronunciation, intonation, and self- confidence
Stimuli Generation for Quality-of-Experience Evaluation of Mobile Applications

The assessment of Quality-of-Experience (QoE) corresponding to a given set of Quality-of-Service (QoS) parameters is of high importance for any mobile network operator. Methods for subjective QoE assessment such as MUlti Stimulus test with Hidden Reference and Anchors (MUSHRA) or Subjective Assessment Methodology for Video Quality (SAMVIQ) are based on collecting user feedback for one or several stimuli, i.e. differently processed versions of a source. &#x0D; Generating these stimuli corresponding to a given set of QoS parameters for a QoE assessment of a mobile application is a time-consuming, non-trivial task. Therefore, in this paper we propose a novel publicly available open-source framework for stimuli generation for QoE assessment of mobile applications. It is based on the combination of network emulation and automatic user-interface control of a real mobile device, whose behavior is recorded and post-processed to generate suitable stimuli. &#x0D; The article presents the basic concept of the framework, describes its open-source implementation, and concludes with an initial evaluation of the framework based on typical types of mobile applications.
Aspect Category Detection

The major subtask of Sentiment analysis based on aspects (ABSA) is the category of aspectdetection (ACD). Due to the subjectivity inherent in categorizing, as well as the occurrence of overlapping classes, it is a difficult challenge to solve. Rule-based techniques, as well as other machine learning approaches, have been used to tackle ACD, and a majority of them are statistical behavior. We employed an association rulebased method in this article. We developed a mixed principle strategy that incorporates both association rule mining and semantics associations to address the statistical limitations of association rules. We employed the concept of word-embed for semantic linkages. The experiments were carried out using the SemEval dataset, which is a standardized set of data for categorizing features industry. We discovered how semantic connections could help to enhance classification accuracy by complementing statistical associations. The proposed method outperforms several statistical methods.
Spam Mail Detection Using Optimization Techniques

On account of the widespread availability of internet access, email correspondence is one among the most well-known cost-effective and convenient method for users in the office and in business. Many people abuse this convenient mode of communication by spamming others with conciseness bulk emails. They use emails to collect personal information of the users to benefit financially. A literature review is conducted to investigate the most effective strategies for achieving successful outcomes while working with various spam mail datasets. K-Nearest Neighbor, Support Vector Machine, Naive Bayes, Decision Tree, Random Forest, and Logistic Regression are all employed in the implementation of machine learning techniques. To make classifiers more efficient, bio-inspired algorithms such as BAT and PSO are used. The accuracy of every classification algorithm along with and without optimization is observed. Factors such as accuracy, f1-score, precision, and recall are used to compare the results. This work is implemented in Python along with GUI interface Tkinter.
Exploring the Digital Talent Training Mode of Project Cost Specialty in Higher Vocational Colleges

Project construction, design, management, operation, and maintenance are all undergoing digital transformations, and project cost professionals’ working mode and content will change as a result. This paper reviews the existing challenges in traditional talent training and adjusts training ideas as well as training modes to conform to the industry’s digital transformation trend as a training base for project cost talents.
Case Report of Transient Abnormal Myelopoiesis in New-born with Down’s Syndrome

Introduction: A unique white cell abnormality called transient abnormal myelopoiesis [TAM] is found in approximately 10% of neonates with Down’s syndrome. Material &amp; method: Medical record of a case of confirmed TAM in Down’s syndrome was reviewed in retrospect at Desai Metropolis laboratory. The co-relation of prenatal ultrasonographic findings, maternal screen results, fetal blood analysis, flow cytometry, karyotyping and the postnatal clinical course were done. Result: A case of TAM associated with Down’s syndrome was confirmed in November 2021. A complete blood count done on 2nd day of life showed abnormal leukocytosis with blast cells. TAM spontaneously resolved after 15 days of birth. Conclusion: Fetal TAM is a self-limiting condition which requires supportive care. In the neonatal period, most cases of TAM have a favorable outcome from this preleukemic condition, but some progress to leukemia. Investigation of TAM will continue to strongly influence basic and clinical research into development of hematological malignancies.
Pengaruh Variasi Waktu Fiksasi Sediaan Apus Darah Tepi (SADT) pada Pengecatan Giemsa terhadap Morfologi Sel Darah Merah

The Blood Smear is a slide whose one of the surfaces is coated using a thin layer of blood and stained with painting of giemsa or wright. Before painting, the preparation is fixated with methanol (methyl alcohol). Prolonged fixation should be avoided because methanol affects subsequent painting and causes some inhibition of intracellular enzymes. Methanol that is left too long in the open air will evaporate (decrease in concentration) and contain water so that it will affect erythrocyte morphology. This study aims to find out the effect of variations in sadt fixation time on giemsa painting on the morphology of red blood cells. This type of research is an experiment. The sample numbered 30 in the form of peripheral blood smear preparations divided by 3 based on variations in fixation time of 3 minutes, 5 minutes and 10 minutes. The results of the Chi-Square statistical test obtained a signification value of 0.00 &lt; 0.05 means that there is a significant difference in time variation in the morphological quality of cells. And the fixation time is best with a fixation time of 3 minutes, at a fixation of 5 minutes still found some crenation cells (cell grinding) with moderate criteria (&lt;3) while fixation with a time of 10 minutes is found a lot of crenation cells (&gt;3).
Optimizing quantum codes with an application to the loss channel with partial erasure information

Quantum error correcting codes (QECCs) are the means of choice whenever quantum systems suffer errors, e.g., due to imperfect devices, environments, or faulty channels. By now, a plethora of families of codes is known, but there is no universal approach to finding new or optimal codes for a certain task and subject to specific experimental constraints. In particular, once found, a QECC is typically used in very diverse contexts, while its resilience against errors is captured in a single figure of merit, the distance of the code. This does not necessarily give rise to the most efficient protection possible given a certain known error or a particular application for which the code is employed.In this paper, we investigate the loss channel, which plays a key role in quantum communication, and in particular in quantum key distribution over long distances. We develop a numerical set of tools that allows to optimize an encoding specifically for recovering lost particles both deterministically and probabilistically, where some knowledge about <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mi>w</mml:mi><mml:mi>h</mml:mi><mml:mi>a</mml:mi><mml:mi>t</mml:mi></mml:math> was lost is available, and demonstrate its capabilities. This allows us to arrive at new codes ideal for the distribution of entangled states in this particular setting, and also to investigate if encoding in qudits or allowing for non-deterministic correction proves advantageous compared to known QECCs. While we here focus on the case of losses, our methodology is applicable whenever the errors in a system can be characterized by a known linear map.
Media Reality Of The Digital Age: Challenges Of Visuality

The relevance of the study of the phenomenon of visual culture in the modern world is determined by the rapid development of innovative forms of media communication, the increase in platforms for presenting an audiovisual product. Any innovation in the field of "new media" causes multiple changes in the contours of the social environment, the formation of new socio-cultural phenomena, which requires its understanding from the standpoint of social philosophy. The subject of the research is the screen media reality as a transforming system of technogenic visual media reality of the digital age. The theoretical and methodological basis for the analysis of the visual complex of media reality as a transforming socio-cultural phenomenon is the concept of "challenge and response" by English philosopher A. Toynbee. The comparative-historical method is used to analyze the screen media reality in its historical forms. At the same time, the "challenge and response" formula itself reflects the principles of complementarity and synthesis of opposites as the basis of the dialectical approach. The general and individual features in the development of screen media reality are revealed, the general communicative nature and continuity of symbolic mechanisms for building a picture of the world are substantiated. It is proved that all historical forms of screen media reality are a symbolic environment filled with mutual interweaving, constantly forming a dialectical contradiction of "challenge and response".
COMPARISON OF THE NUMBER OF ERYTHROCYTES IN 3 ML, 2 ML, &amp; 1 ML OF BLOOD SAMPLES WITH K2EDTA ANTICOAGULANTS AFTER A 4-HOUR DELAY IN THE DR. H. ABDUL MOELOEK BANDAR LAMPUNG HOSPITAL

Background: The volume of blood samples, especially the number of erythrocytes in laboratory examinations, has an important role in determining the results of the diagnosis, in this case pre-analytic errors often occur so that a definite diagnosis will be difficult to establish. Therefore, research on the comparison between the results of the examination of the number of erythrocytes in the volume of blood samples of 3 mL, 2 mL, and 1 mL after being delayed for 4 hours with K2EDTA anticoagulant helps to determine a definite diagnosis from laboratory tests, one of which is the count of the number of erythrocytes. Research purpose: it aims to identify the comparison of erythrocytes in the volume of blood sample 3 ml, 2 ml, and 1 ml with k2edta anticoagulant after postponed for four hours. Research methods: the study uses primary data with hematology analyzer in rsud Dr.abdul moeloek bandar lampung. This type of research is a quantitative, using observational analtic design with a cross sectional view and with consecutive method, through hematology analysis using a alayzer mindray bc-3600 hematology. The research has 50 respondents. Results: the results of erythrocytes comparison between blood volume 3 ml, 2 ml and 1 ml (ml) with k2edta anticoagulant after 4 hours have different results but statistically the results have the same with 3 ml, that show the lowest result. Conclusion: there is no significant differences between the examunation of the erythrocytes with the volume of blood sample 3 mL, 2 mL, and 1 mL in the vacutainer k2edta tube after postponed for four hours.
Extracting Linguistic Speech Patterns of Japanese Fictional Characters using Subword Units

This study extracted and analyzed the linguistic speech patterns that characterize Japanese anime or game characters. Conventional morphological analyzers, such as MeCab, segment words with high performance, but they are unable to segment broken expressions or utterance endings that are not listed in the dictionary, which often appears in lines of anime or game characters. To overcome this challenge, we propose segmenting lines of Japanese anime or game characters using subword units that were proposed mainly for deep learning, and extracting frequently occurring strings to obtain expressions that characterize their utterances. We analyzed the subword units weighted by TF/IDF according to gender, age, and each anime character and show that they are linguistic speech patterns that are specific for each feature. Additionally, a classification experiment shows that the model with subword units outperformed that with the conventional method.
ANALISIS KENDALA PROSES PEMBELAJARAN DARING DI KELAS 2B SDN PENGADEGAN 07 JAKARTA TAHUN AJARAN 2021/2022 PADA TEMA TUGASKU SEHARI-HARI

This background is researcher who wants to know and further describe the obstacle of online learning process in class 2B SDN Pengadegan 07 Jakarta Year 2020/2021 with a type of Descriptive Qualitative research. This research aims to explain the implementation of experienced by teachers and student, and efforts teachers take in overcoming obstacles in the online learning process in the class of 2B SDN Pengadegan 07 Jakarta Year 2020/2021. Result of research suggest that the process online learning uses only whatsapp group withput zoom, classroom and other support applications. In the learning process, surely there are obstacles faced by both teachers and students, such as mobile phone constraints, quota, learning materials, parents who cannot accompany the learning due to work, late task collection, students who lack understanding of the material. However, teachers have an effort in overcoming the obstacle, such as teachers fo not give the task collection deadline, always working with parents on the online learning, giving students a spirit in video and image.
Analisis Kebiasaan Membaca Buku IPA Siswa Kelas V SD Inpres 6/75 TA Kecamatan Tanete Riattang Kabupaten Bone

The problem in this study is to describe the habit of reading science books for fifth grade students of SD Inpres 6/75 TA, Tanete Riattang District, Bone Regency. This research is a type of qualitative research with a descriptive method that describes the habit of reading science books for fifth grade students which includes reading time, reading time, reading place, reading position, taking notes or not taking notes on important things from reading, scheduled, reading in a quiet or crowded atmosphere. , summarize the contents of the reading, and use the school library in reading activities. From the results of this study, it can be said that the habit of reading science books for fifth grade students is fairly good. However, there are still some students who do not have a good habit of reading science books from the description of reading habits, such as, not making good use of the library as a place to read and not taking notes on important things from what they read. So there are some students who do not have good reading habits. Keywords: Habits; Read; natural Science