Reviewerly/exHarmony huggingface dataset:
THE INFLUENCE OF PICTURE BOOKS MEDIA TOWARDS STUDENTS’ VOCABULARY MASTERY

In this part, the writer would like to explain about the Effectiveness of using picture books media towards students’ vocabulary mastery and to know and describe the average score of the students’ vocabulary mastery who learn through picture book media. The method of this research was conducted by using experimental method. The population of this research was the students at the first semester of the eighth grade at MTs Negeri 1 Bandar Lampung 357 students in 10 classes. In this research, the writer got VIII A as the experimental class there are 33 students and VIII B as the control class there are 33 students. Intaking the sample, the writer used random sampling technique. In collecting the data, the writer used multiple choice test to measure the students’ reading comprehension. Multiple choice or objective response is a form of an objective assessment in which respondents are asked to select only correct answers from the choices offered as a list.In analyzing the data, the writer used .After analyzing the data used formula. Based on the result, the writer found that average score of student’s reading comprehension in experimental class higher than control class (). It means that, Picture book media were successful to increase the students’ vocbulary mastery. Then, the writer also concluded there is significant influence of picture books media towards students’ vocabulary mastery at eighth class of MTs Negeri 1 Bandar Lampung. It was proved by the result of calculation by using formula that was higher than ttabel ( 3.75&gt; 2.00 &gt; 2.66). Therefore, picture book media is an effective strategy which can be used by the teacher to improve students’ vocabulary mastery.
THE EFFECT OF USING PICTIONARY GAME TO INCREASE THE STUDENTS’ VOCABULARY MASTERY OF THE SEVENTH GRADE AT SMPN 4 BANTAN

Astract : The aim of the study was to find out the effect of using Pictionary game on the students’ vocabulary mastery before and after being taught by using this game. There were two classes as the samples namely experimented class with twenty (20) students and the other was controlled class with twenty (20) students as well. Three questions were formulated : a) How is the students’ vocabulary mastery before being taught by using Pictionary game?, b) How is the students’ vocabulary mastery after being taught by using Pictionary game?and c) Is there any significant effect on the students’ vaocabulary mastery by using Pictionary game?. Based on the result, the mean score of expermented class was 73, controlled class 60 and ttest was 4,00. It showed that ttest was higher than ttable in 1% and 5% (2.03≤4,00≥2.72). It meant that Ha was accepted and Ho was rejected. In sum, Pictionary game was effective to increase the students’ vocabulary mastery of the seventh grade at SMPN 4 Bantan. Key Words : Vocabulary, Pictionary Game.
VISUAL AIDS FOR TEACHING ENGLISH TO STUDENTS WITH AUTISM SPECTRUM DISORDER

English is a language that is used by people around the world. Hence, it is necessary for everyone to learn it, including the students with special needs. This study aims to review the use of visual aids in teaching English for students with special needs, especially Autism Spectrum Disorder. The study is a library study that focuses on collecting theoretical and empirical studies about the use of visual aids in teaching students with ASD. Autism Spectrum Disorder is a neurological disorder that affects the function of the human brain. Visual aids are the tools or devices that are shown by the teacher in the classroom to help students understanding the learning materials. The study finds that the use of visual aids is effective for teaching English to students with Autism Spectrum Disorder. Therefore, teachers should consider using visual aids in teaching autistic students. This study is expected to give insightful information in educational fields.
VOCABULARY MASTERY THROUGH TEACHER-LED ACTIVITIES USING MISSING WORDS FOR THE TENTH GRADE STUDENTS

The study aimes to know wheter there is positive influence of teacher-led activities using missing words towards students’ vocabulary matery at the senior high school level. In this research the writer used an quasi experimental method. It consisted of two classes: they are experimental class and control class. The population of this research was the students at the second semester of the tenth grade at MAN 1 Pesawaran. The population consisted 251 students from six classes. The sample of the research was X1 and X2. Then for sampling technique the writer used Random Sampling technique. To collect the data, the writer used multipe choice test and to prove hypothesis, the writer used t-test formula. After analyzing the data, the writer tested the hyphotesis and the result of tratio= 5,61, ttable= 1,98 for α = 0,05 It means that tratio&gt; ttable. It means that there is significant influence of teacher-led activities using missing words toward students’ vocabulary mastery at the second semester of the tenth grade at MAN 1 Pesawaran
The Influence of Service and Product Quality on Customer Satisfaction: A Study of UBA-Ventures PLC Bambili, Cameroon

Purpose: Service quality and customer satisfaction are very important concepts that companies must understand if they are to grow and remain competitive in the business environment. Service and product quality is considered to be very critical to any modern business because it contributes to higher customer’s satisfaction. The purpose of this study was to find out the implication of service and product quality on consumers’ satisfaction, particular focus was placed on variables like responsiveness, reliability, empathy and how they affect consumers’ satisfaction.&#x0D; Methodology: To accomplish this task both quantitative and qualitative research approaches were applied. A sample of 150 respondents was selected from the customers of UBa ventures PLC Bambili using a simple random sampling technique. Questionnaire was the main instrument for data collection for the study. The data collected was analyzed using both descriptive and inferential statistics. The ordinary least square (OLS) was use to verify the&#x0D; Findings: We observed that, responsiveness, reliability has a positive effect and empathy has a negative effect in predicting customer satisfaction. From the finding, the results also reveal an interesting relationship between service and product quality on customer satisfaction. We observe that all the indicators of service and product quality have significant effect on customer satisfaction, thus this findings can help organization gain competitive advantage by improving their service and product quality in terms of reliability, responsiveness and empathy&#x0D; Unique Contribution to Theory, Policy and Practice: It was recommended that, hospitality industries should create a complaint desk where customers can register their complaints and a systematic procedure to handle customer’s complaints. Also, proper explanation and use of a well understood language is vital for effective communication of employees. Management should put in place strict guidelines to be followed while dealing with customer’s complaints to be satisfactorily handled and thus increase the level of customer satisfaction.
THE INFLUENCE OF THINK PREDICT READ AND CONNECT STRATEGY TOWARDS STUDENTS’ READING ABILITY

Many students in Senior High School cannot master reading ability it might be caused by the students’ inability of using dictionary, inability in comprehending the text and unfamiliarity of words. In overcoming this problem, the researcher tried to used of think predict read and conect strategy. In reading ability this strategy can help the students in comprehending the text easily. The objective of the research was to know the influence of of think predict read and conect strategy towards students’ reading ability. In this research the writer used experimental method. The population of this research was 281 students. The sample was taken by using Cluster Random Sampling technique. In data collecting technique the writer used test, the test was multiple choice, consisted of 40 items. Based on the result of the data analysis and computation which used the formula of ttest, the result of analysis the data is significant, which is ttest &gt; ttab : 4.03 &gt; 1.67. From the result of analysis data, the writer could to give some conclusions as 1).The average score of the students’ reading ability who were taught by think, predict, read, and connect strategy was higher than who were taught with conventional strategy. It was seen from average score of test on experimental class is higher than the average score of control class X1 = 76.2 &gt; X2 = 67.78. 2).There is a significant influence of giving translation assignment towards students’ English reading ability. It was seen from the result of ttest &gt; ttab : 4.03 &gt; 1.67.
AN ANALYSIS ON THE SECOND SEMESTER STUDENTS’ ABILITY IN UNDERSTANDING PAST SIMPLE SENTENCES AT THE ENGLISH EDUCATION DEPARTMENT OF STKIP INSAN MADANI AIRMOLEK

A descriptive qualitative method was used in this research. It aimed to find out the students’ ability in understanding Past Simple. The instrument of the research to gather the data was in the form of written test which was delivered to the the second semester students. They are asked to do the test of verbal sentence, nominal sentence and irregular or regular verb use. The test was designed based on the relevant literature review and the authors’ observation during the teaching learning process which took time especially when the material of the Past Simple was explained. For the test as a whole, there were only 3 students (12.5%) who had high category level of Past Simple understanding. Meanwhile, 10 students’ ability in understanding Past Simple (41.7%) was in the middle category. There were 11 students (45.83%) whose ability belonged to the low category. In short, the students’ ability in understanding Past Simple was still low. The research findings give some points of view for a lecturer to remember that he needs to have various teaching techniques to get her students’ attention to learn and practice more about the use of tense, especially Past Tense. The lecturer can also use interesting audio visual teaching media so that the students get more interest to acquire the rules
IMPROVEMENT OF KNOWLEDGE OF HIJAIYAH LETTERS THROUGH THE MEDIA OF HIJAIYAH LETTERS CARD

This community service is motivated by children who do not understand hijaiyah letters, especially children who are still at an early age. One of the reasons is the need for more educators with many children and different classes. This method that small children cannot understand makes early childhood, even children who have entered elementary school, not yet understand and have yet even to memorize the letter hijaiyah. The researcher here tries to use iqro` as a first step to find out how well the children of Madrasah Diniyah Al Abror understand the hijaiyah letter. With iqro` children are still unable to read letters. Then the researchers used hijaiyah cards as an introduction to hijaiyah letters. Because hijaiyah letters attract children's interest in memorizing hijaiyah letters, children can participate in memorizing hijaiyah letters well. The method used to attract children's attention is to use games that can make children not easily bored memorizing. In addition, researchers also invited children to memorize hijaiyah letters by using simple songs.
SEMIOTIC ANALYSIS LACK OF NEED BY LOOSING FATHER IN PARLE A MON PERE BY CELINE DION

Language is the most important media for human’s communication. By using language, human can interact, socialize, and cooperate with others, because in essence language is a means of communication. Given the importance of language as a means of communication, in the process of conveying information to others it must be clear and easy to understand, like in literary works. Literary works can also consider as a part of communication. In every literary works, including in song lyric would contain a massage. Lyric songs usually contain experiences and ideas of the authors who are summarized in a particular theme, parsed and conveyed to listeners through language. Song lyrics are an expression of the author's feelings, thoughts and ideas which are realized in a special language. In this research, the researcher would like to research Parle A Mon Pere song, by Celine Dion. This research uses Roland Barthes' semiotic theory, which is collaborated with Jaques Lacan's psychoanalysis theory. Meanwhile, Barthes' myth theory is used to examine the hidden meanings which the songwriters want to convey. This research uses descriptive qualitative method. The researcher would carefully note data in the form of words, sentences and speech. The choice of content analysis techniques is analyzing words. The content analysis techniques are used to understand messages, seen as unstructured data. The result of this research is that researchers can find hidden meanings, that a girl will feel empty if she loses her father. This is obtained through the translation of the signifier and the signified, which is obtained from the sentence in the song Parle A Mon Pere, by Celine Dion.
A novel meta-embedding technique for drug reviews sentiment analysis

&lt;p&gt;Traditional word embedding models have been used in the feature extraction process of deep learning models for sentiment analysis. However, these models ignore the sentiment properties of words while maintaining the contextual relationships and have inadequate representation for domainspecific words. This paper proposes a method to develop a meta embedding model by exploiting domain sentiment polarity and adverse drug reaction (ADR) features to render word embedding models more suitable for medical sentiment analysis. The proposed lexicon is developed from the medical blogs corpus. The polarity scores of the existing lexicons are adjusted to assign new polarity score to each word. The neural network model utilizes sentiment lexicons and ADR in learning refined word embedding. The refined embedding obtained from the proposed approach is concatenated with original word vectors, lexicon vectors, and ADR feature to form a meta-embedding model which maintains both contextual and sentimental properties. The final meta-embedding acts as a feature extractor to assess the effectiveness of the model in drug reviews sentiment analysis. The experiments are conducted on global vectors (GloVE) and skip-gram word2vector (Word2Vec) models. The empirical results demonstrate the proposed meta-embedding model outperforms traditional word embedding in different performance measures.&lt;/p&gt;
THE STUDENT’S ERRORS INVESTIGATION IN USING PUNCTUATION, CAPITALIZATION AND SPELLING IN WRITING BUSINESS LETTER

This study aims to investigate the errors committed by students in using punctuation, capitalization and spelling in writing business letter. This is descriptive study. The sample of this study was the students of English for Professional Business and Communication Program Academic Year 2021/2022. The finding of the research showed that the common errors committed by students in writing business letter from the highest to the lowest occurrence were spelling, punctuation and capitalization. The errors occur because of omission, addition, misformation and misordering.
Valve control system on a venturi to control FiO2 a portable ventilator with fuzzy logic method based on microcontroller

&lt;p&gt;The results of several studies for portable ventilators state that it is difficult to&lt;br /&gt;regulate oxygen levels of fraction of inspired oxygen (FiO2) that are in&lt;br /&gt;accordance with what is needed directly during the implementation of oxygen&lt;br /&gt;therapy. Some portable ventilators cannot set the FiO2, so the ventilators work&lt;br /&gt;with a fixed FiO2. To overcome this problem, medical oxygen with a level of&lt;br /&gt;100% is lowered by mixing with free air with an oxygen content of about 40%.&lt;br /&gt;Mixing is carried out using a venturi with a large/wide hole that can be&lt;br /&gt;adjusted using a slated disk rotated by a direct current motor. The rotation&lt;br /&gt;control method uses Mamdani's fuzzy logic. The results of clinically lab-scale&lt;br /&gt;testing show that the fuzzy logic control system is able to control the average&lt;br /&gt;error pressure of 10.3%, better when compared to the on-off control method,&lt;br /&gt;which is 14.5%. The fuzzy logic method is able to increase the accuracy of&lt;br /&gt;FiO2 on a portable ventilator.&lt;/p&gt;
Contaminant Analysis of Domestic Well Water in Norton and Phillips Counties, Kansas

The Alluvial aquifer in Kansas is responsible for supplying much of western Kansas with fresh domestic well water Samples from these domestic wells were collected from participating landowners along the Alluvial aquifer of Norton and Phillips counties, Kansas The collected samples were shipped to the Kansas Department of Health and Environment ( Laboratories for analysis of various regulated contaminants The following parameters were measured from each water sample uranium, nitrate, sulfate, iron, selenium, manganese, chloride, arsenic, and conductivity Using ArcGIS Pro, the locations of the sampled wells were converted into point data with their respective parameter data attached Several cartographic maps were constructed to represent the concentration of each contaminant along the length of the Alluvial aquifer Additional maps representing soil type, land use, and local geology were constructed to aid in the analysis of wells containing contaminants over the maximum contamination level ( The resulting collection of attribute data and maps were returned to the KDHE for future purposes This is an ongoing project with an aim to express the importance of consistent monitoring of contaminants in domestic wells This summer, we will continue analysis of the Alluvial aquifer traveling westward into the Kansas counties of Rawlins and Decatur We look forward to gathering more data to help us determine if land use and local geology could be a contributing source of contamination
Large Language Models for Education: Grading Open-Ended Questions Using ChatGPT

As a way of addressing increasingly sophisticated problems, software professionals face the constant challenge of seeking improvement. However, for these individuals to enhance their skills, their process of studying and training must involve feedback that is both immediate and accurate. In the context of software companies, where the scale of professionals undergoing training is large, but the number of qualified professionals available for providing corrections is small, delivering effective feedback becomes even more challenging. To circumvent this challenge, this work presents an exploration of using Large Language Models (LLMs) to support the correction process of open-ended questions in technical training. In this study, we utilized ChatGPT to correct open-ended questions answered by 42 industry professionals on two topics. Evaluating the corrections and feedback provided by ChatGPT, we observed that it is capable of identifying semantic details in responses that other metrics cannot observe. Furthermore, we noticed that, in general, subject matter experts tended to agree with the corrections and feedback given by ChatGPT.
An Overview Of Temporal Commonsense Reasoning and Acquisition

Temporal commonsense reasoning refers to the ability to understand the typical temporal context of phrases, actions, and events, and use it to reason over problems requiring such knowledge. This trait is essential in temporal natural language processing tasks, with possible applications such as timeline summarization, temporal question answering, and temporal natural language inference. Recent research on the performance of large language models suggests that, although they are adept at generating syntactically correct sentences and solving classification tasks, they often take shortcuts in their reasoning and fall prey to simple linguistic traps. This article provides an overview of research in the domain of temporal commonsense reasoning, particularly focusing on enhancing language model performance through a variety of augmentations and their evaluation across a growing number of datasets. However, these augmented models still struggle to approach human performance on reasoning tasks over temporal common sense properties, such as the typical occurrence times, orderings, or durations of events. We further emphasize the need for careful interpretation of research to guard against overpromising evaluation results in light of the shallow reasoning present in transformers. This can be achieved by appropriately preparing datasets and suitable evaluation metrics.
A Hybrid Classical Quantum Computing Approach to the Satellite Mission Planning Problem

Hundreds of satellites equipped with cameras orbit the Earth to capture images from locations for various purposes. Since the field of view of the cameras is usually very narrow, the optics have to be adjusted and rotated between single shots of different locations. This is even further complicated by the fixed speed -- determined by the satellite's altitude -- such that the decision what locations to select for imaging becomes even more complex. Therefore, classical algorithms for this Satellite Mission Planning Problem (SMPP) have already been proposed decades ago. However, corresponding classical solutions have only seen evolutionary enhancements since then. Quantum computing and its promises, on the other hand, provide the potential for revolutionary improvement. Therefore, in this work, we propose a hybrid classical quantum computing approach to solve the SMPP combining the advantages of quantum hardware with decades of classical optimizer development. Using the Variational Quantum Eigensolver (VQE), Quantum Approximate Optimization Algorithm (QAOA), and its warm-start variant (W-QAOA), we demonstrate the applicability of solving the SMPP for up to 21 locations to choose from. This proof-of-concept -- which is available on GitHub (https://github.com/cda-tum/mqt-problemsolver) as part of the Munich Quantum Toolkit (MQT) -- showcases the potential of quantum computing in this application domain and represents a first step toward competing with classical algorithms in the future.
De Re and De Dicto Knowledge in Egocentric Setting

Prior proposes the term "egocentric" for logical systems that study properties of agents rather than properties of possible worlds. In such a setting, the paper introduces two different modalities capturing de re and de dicto knowledge and proves that these two modalities are not definable through each other.
Using Kernel SHAP XAI Method to optimize the Network Anomaly Detection Model

Anomaly detection and its explanation is important in many research areas such as intrusion detection, fraud detection, unknown attack detection in network traffic and logs. It is challenging to identify the cause or explanation of why one instance is an anomaly? and the other is not due to its unbounded and lack of supervisory nature. The answer to this question is possible with the emerging technique of explainable artificial intelligence (XAI). XAI provides tools and techniques to interpret and explain the output and working of complex models such as Deep Learning (DL). This paper aims to detect and explain network anomalies with XAI, kernelSHAP method. The same approach is used to improve the network anomaly detection model in terms of accuracy, recall, precision and f score. The experiment is conduced with the latest CICIDS2017 dataset. Two models are created (Model_1 and OPT_Model) and compared. The overall accuracy and F score of OPT_Model (when trained in unsupervised way) are 0.90 and 0.76, respectively.