Reviewerly/exHarmony huggingface dataset:
NEEDANALYSIS:ALEAPTO DESIGNENGLISHCOURSE CURRICULUM ATPOLITEKNIKPERTANIAN NEGERIPAYAKUMBUH

This research aimsto analyse the needs of English course curriculum implemented in Politeknik Pertanian Negeri Payakumbuh (henceforth: Politani) as a step to design the new English Course curriculum. Curriculum for vocational study is emphasizing on the mastering of skills rather than mastering the theory of field of studies. Needs analysis regarded as the key point to a successful designing and implementation of certain subject. This study applies two kinds of instruments. The first one is questionnaire distributed to the newly enrolled students asthe respondents to discover their wants. Also, TOEFL Prediction Test was conducted to some new students to check their English competence known as their lacks. There were 237 respondents given the questionnaire sheets as the representative of new students in Politani in 2019. The result of needs analysis showed that respondents wanted to focus the material of English course more on reading and speaking skill as they were aware of both skills were important for their study. In addition, TOEFL Prediction Test result showed that respondents gained the lowest score on reading comprehension section. Meanwhile they achieved higher scores on the listening section. It means that what respondents wants met their lacks in English competence. Researchers then would be able to design the effective and efficient English course curriculum for vocational students in Politani. REFERENCES Abrar-ul-Hassan, S. (2012). State-of-the-art review: Revisiting the ins and outs of ESP practice. Professional and Academic English, 39, 4-11. Cohen, L., Manion, L., &amp; Morrison, K. (2007). Research methods in education (6th ed.). London: Routledge. Freebody, P. (2003). Qualitative research in education: Interaction and practice. London: Sage. Hutchinson &amp; Waters. (2008). English for Specific Purposes: A Learning-centered Approach. Cambridge: Cambridge University Press. Irianto, Agus. (2012). Statistik:Konsep Dasar, Aplikasi, dan Pengembangannya. Jakarta: Kencana. Kaewpet, C. (2009). A framework for investigating learner needs: Needs analysis extended to curriculum development. Electronic journal of foreign language teaching, 6(2), 209-220 Lie, A. (2009). Education policy and efl curriculum in indonesia: between the commitment to competence and the quest for higher test scores. TEFLIN Journal: A publication on the teaching and learning of English, 18(1).
Breast Self-Examination Practice and Its Determinants Among Reproductive Age Women in The Pastoral Community of Southern Ethiopia: A Community Based Cross-Sectional Study

Background: Breast self-examination is a simple and direct, non-invasive, and low-cost screening approach for breast cancer identification. Unlike in the Western world, women in Ethiopia frequently appear late for breast cancer screening and are expected to have a very short life expectancy. In Ethiopia, the majority of studies on breast self-examination practice were limited to university students and health care workers. As a result, there was a scarcity of evidence on the practice of breast self-examination, particularly at the community level. Thus, the current study was aimed to assess the magnitude of breast self-Examination practice and associated factors among reproductive age women in West Guji zone, Southern Ethiopia. Methods: A Community based Cross-sectional study was conducted from March 1 to April 30, 2021 among 424 randomly selected Women of reproductive age in the West Guji zone. The study participants were selected using multi-stage sampling. Data were collected using pre-tested and structured Questionnaires through face-to-face interviews. A bivariable and multivariable logistic regression model was used to identify the association between dependent and independent variables. P-Value &lt;0.25 was used to select candidate variables for Multivariable logistic regression. A p-value &lt;0.05 and an adjusted odds ratio with 95% CI were used to identify the independent predictors of Breast Self-Examination practice. Result: Overall breast self-examination practice was 14.6 % (95% CI, 11.4-18.4). Age [AOR=1.98; 95%CI (1.06-3.70)], monthly income [AOR=2.28; 95% CI (1.09-4.78)], and having a good knowledge of breast self-examination [AOR=2.15; 95%CI (1.14-4.05)] were statistically significant predictors and positively associated with Breast self-examination practice. Conclusion: This study revealed a substantial proportion of breast self-examination practice. As a result, stakeholders in various positions should make much more effort to promote women's education, as well as encourage and advocate breast self-examination practice.
Blockchain Asset Lifecycle Management for Visual Content Tracking

With the current day complexification of image manipulation technologies (ranging from colour editing or aspect ratio modifications to AI generated fake news), myriad of numerical representations can be connected to a same semantic visual content. Thus, ensuring trust and authenticity for tracking near-duplicated visual content ( <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">i.e</i> ., semantically identical yet digitally different contents) becomes challenging from both methodological and technical points of view. Addressing these challenges requires the synergistic combination of methodological solutions stemming from different research fields, while current solutions are heterogeneous and lack interoperability. In this paper, we bring forth an automatic full lifecycle management workflow for visual content assets represented on blockchains. The workflow is supported by a novel architecture seamlessly integrating near-duplicated content detection, Smart Contract automation, and token brokerage. The architecture leverages a load balancing framework and near-duplicated content detection to grant properties natively featured by blockchains (security, trust, and transparency) to the authentication of assets in environments where the same semantic content has various digital representations. Subsequently minted blockchain assets can then be used contingently with other state-of-the-art tools, ensuring interoperability with blockchain working standards. The effectiveness of this workflow is demonstrated through open-source example implementations for the Ethereum and Tezos frameworks, illustrating the benefits this process brings to automatic asset generation and Intellectual Property Rights (IPR) management.
Teaching Strategies for Reading Comprehension: EFL Teachers’ Best Practices

This case study aims to discover teachers' practices for teaching second-grade reading comprehension at one of Kendari's Islamic state senior high schools. Using depth-interviews with two EFL teachers, the researchers scrutinized teachers' various strategies as best practices in teaching reading. Two teachers from one of Kendari's state Islamic senior high schools took part in this study. The findings of this study were based on the reading tactics utilized in class. The teacher employed pre-reading strategy training, asking students to check their memory of the text and having a brief conversation about the text's title. Also, the teacher employed calculative vocabulary, allowing the students to acquire skills for predicting word meanings based on context and prior knowledge. As for reading comprehension, the teacher engaged the class to read aloud and discuss how they understand what is written, observing students who asked questions about complex vocabulary during reading instruction and directing students to learn difficult vocabulary. Meanwhile, students' challenge in reading class requires more vocabulary and enthusiasm.Keywords: reading class; reading comprehension; teaching reading strategy.
Grammatical Errors in EFL Students' Writing

This study sought to examine the frequency, and sources of writing errors committed by EFL students. To gather the information, 35 students were selected; the students were enrolled in a writing course in the second semester of academic year 2019–2020. They were asked to write three different topics of essays with 100 to 150 words in 40 minutes and requested to make reflection regarding the causes of errors according to their perception. The results of data analysis revealed that capitalization was the common mistake done by students followed by wrong word and punctuation. From students’ perception the causes of errors were 38% grammatical understanding, 21% vocabulary, 17% lack of idea, 13% in rush, 6% less practice and 5% less focus. The researcher believes that the causes of those errors were incomplete knowledge about basic writing and grammatical rules. According to the results, recommendations and any suggestions that are of importance to teachers and policymakers as well as to EFL learners are presented in detail.Keywords: EFL students; error analysis; grammatical error.
Students’ Response towards Game Use as a Warming-up Activity in TEYL

This research aims at investigating on how students’ response toward the use of games as warming up activity in teaching English for young learners. This research is implemented by the researchers to teach English in classroom by using games in the beginning of lesson for eight meetings. The data were collected by using observation, questionnaire, and students’ reflection. The collected data were analyzed by using qualitative methods. The result of the study shows that when games use as warming up activity, it is entertaining in that it makes students feel fun and happy while learning. This study suggests that English teacher can use games as teaching method since games give pleasant class atmosphere and make students relax.Keywords: Games; Warming up activity; Young learners.
Seating Arrangements in Discussion Groups as the Factor of the Students' Willingness to Speak English in Foreign Language Classroom

This research reports the extent to which the teacher factor causes the willingness of students to speak in a foreign language class. Looking at the majority of students who do not speak when in a foreign language class, this study is therefore conducted to see in terms of which teacher factors can make students want to talk. This research uses a qualitative approach with student reflection documents. The researcher selected 25 students as participants in this study. This research was conducted by observation and taking data through filling reflections conducted by students through Google Form. From the results of the reflection analysis the researcher found that each student had the same opinion in expressing their way to want to talk in class, that is by looking at or depending on what method the teacher used in the classroom. In this case, the method used by the teacher in the classroom is the method of seating arrangements in discussion groups. Then this is the teacher’s factor that causes the willingness of students to speak in a foreign language class.Keywords: Teachers’ Factor; Willingness to Communicate (WTC)
SPIN RODA SEBAGAI ALTERNATIF MEDIA PEMBELAJARAN UNTUK MENGEMBANGKAN PERCAYA DIRI SISWA SEKOLAH DASAR

This study aims to apply the Spin Wheel as an Alternative Learning Media to Develop Confidence in Elementary School Students. The subjects in this study were regular 5th grade students, upper class inclusion students, 5th grade teachers and upper inclusion teachers. The time of the research was carried out in May 2023 at one of the elementary schools in Surabaya, namely Sumur Welut I Elementary School. This research is acomparative qualitative research where this research is to compare two treatments or more than one variable. This research also requires information in the form of descriptive with a theory that is built based on the data obtained and also the data from the interpretation of scores into categories for comparison. Data collection techniques with observation, interviews, documentation and questionnaires. The research targets were 5th grade students, upper class inclusion students, 5th grade teachers and upper-class inclusion teachers. The purpose of this research was to develop students' self- confidence by applying the spin wheel media and to find out the effectiveness and quality of the spin wheel media. The method used in this study is using 4 stages including, observation, interviews, questionnaires and documentation. The results showed that the spin wheel media was effective and of good quality to be applied to regular 5th grade students and upper-class inclusion students.
PENGARUH TINGKAT KETERBACAAN MATERI PELAJARAN BAHASA INDONESIA TERHADAP HASIL BELAJAR SISWA KELAS XI IPS MAN MALAKAJI GOWA

Thesis Department of Indonesian Language and Literature Education, Faculty of Sastra, Indonesian Muslim University. Supervised by Dr. Hj. Nurmiah Muin, SE., M.Pd, as supervisor I and Andi Puspitasari, S.Pd., M.Pd, as supervisor II. This study aims to determine and analyze the effect of the readability level of Indonesian subject matter on student learning outcomes in class XI IPS 3 MAN Malakaji Gowa. This study uses ex post facto with a comparative causal research type. The population used in this study consisted of students of class XI IPS 3 MAN Malakaji Gowa while the sample was 28 students of class XI IPS 3 MAN Malakaji Gowa. Data collection techniques are observation sheets, tests, interviews, and documents. The research instrument uses documentation and interviews. The data analysis technique used the linca regression analysis technique. The results of the study can be concluded that the learning outcomes of the 28 students who were obtained during the learning process were 6 students whose grades did not reach the KKM score, while those who obtained moderate scores were 4 students and while those who received high scores were 14 students. So it can be concluded that the level of legibility of the subject matter has an effect on student learning outcomes. Based on the results of the t-test, the sig value is 0.0035 &gt; 0.05 while the t-value is -0.982 &lt;2.055 the t-table value, meaning that X has no effect on Y, it can be concluded that the hypothesis is rejected or the level of readability of Indonesian subject matter has no effect on the results student learning.
The Application of the Preoperative Image-Guided 3D Visualization Supported by Machine Learning to the Prediction of Organs Reconstruction During Pancreaticoduodenectomy via a Head-Mounted Displays

Early pancreatic cancer diagnosis and therapy drastically increase the chances of survival. Tumor visualization using CT scan images is an important part of these processes. In this paper, we apply Mixed Reality (MR) and Artificial Intelligence, in particular, Machine Learning (ML) to prepare image-guided 3D models of pancreatic cancer in a population of oncology patients. Object detection was based on the convolution neural network, i.e. the You Only Look Once (YOLO) version 7 algorithm, while the semantic segmentation has been done with the 3D-UNET algorithm. Next, the 3D holographic visualization of this model as an interactive, MR object was performed using the Microsoft HoloLens2. The results indicated that the proposed MR and ML-based approach can precisely segment the pancreas along with suspected lesions, thus providing a reliable tool for diagnostics and surgical planning, especially when considering organ reconstruction during pancreaticoduodenectomy.
Localizing genuine multipartite entanglement in noisy stabilizer states

Characterizing large noisy multiparty quantum states using genuine multipartite entanglement is a challenging task. In this paper, we calculate lower bounds of genuine multipartite entanglement localized over a chosen multiparty subsystem of multiqubit stabilizer states in the noiseless and noisy scenarios. In the absence of noise, adopting a graph-based technique, we perform the calculation for arbitrary graph states as representatives of the stabilizer states and show that the graph operations required for the calculation have a polynomial scaling with the system size. As demonstrations, we compute the localized genuine multipartite entanglement over subsystems of large graphs having linear, ladder, and square structures. We also extend the calculation for graph states subjected to single-qubit Markovian or non-Markovian Pauli noise on all qubits and demonstrate, for a specific lower bound of the localizable genuine multipartite entanglement corresponding to a specific Pauli measurement setup, the existence of a critical noise strength beyond which all of the postmeasured states are biseparable. The calculation is also useful for arbitrary large stabilizer states under noise due to the local unitary connection between stabilizer states and graph states. We demonstrate this by considering a toric code defined on a square lattice and computing a lower bound of localizable genuine multipartite entanglement over a nontrivial loop of the code. Similar to the graph states, we show the existence of the critical noise strength in this case also and discuss its interesting features.
Alarm Association Mining Model Based on Merging Strategy

In the process of alarm association mining, the average length of alarm ID is more than 60 characters, and the basic operation will occupy a lot of resources, which makes the mining task difficult to complete in the effective time. In this paper, the mining process is optimized for the follow problems. Firstly, the alarm data set is divided into subsets in the computer room. Secondly, the statistics of alarm-related matters in each subset are realized by merging. Finally, standardize the alarm ID according to the statistical characteristics of the alarm data set. Furthermore, the operation speed of the model of alarm association mining is greatly improved.
Digital Transformation and Its Implications on Educational Quality: An Empirical Analysis Within the European Union Context

In the face of profound digital transformations, the societal and economic landscape has undergone significant shifts, notably impacting the educational sector across European Union (EU) member states. Through the employment of robust regression models, employing both Huber and biweight iterations, data spanning 1995-2021 were analyzed. The focus was on the relationship between the Education Index (EI) (a component of the Human Development Index (HDI)) and the Global Innovation Index (GINNOV). Results from this analysis suggest that an increase in internet usage, global innovation levels, and poverty alleviation measures have been found to positively influence the EI. Concurrently, positive correlations between internet usage, the contribution of the Information and Communication Technology (ICT) sector to GDP, employment rates, and the EI on global innovation levels were observed. Interestingly, adverse correlations were detected between household internet access and the ICT sector's GDP contribution to the EI, and between internet access and high-speed internet coverage with global innovation. Such findings underline the need for strategic interventions within the education sector, which are elaborated upon in the article.
Development Strategies for Africa: Lessons from Asia, Europe, USA and Canada

The study analyzed development strategies for Africa with specific emphasis on lessons from the developed countries of Europe, Asia, the United States of America, and Canada. Development is akin to a sustainable livelihood, hence, the need for a country to devise means for the achievement and maintenance of accelerated improvements in the holistic affairs of the people and their environs. The objectives of the study were to analyze major development strategies suitable for African countries, identify challenges of development strategies in African countries and proffer solutions to ameliorate them. The Economic Theory of Modernization was adopted for the study. The qualitative research methodology which is mainly descriptive was adopted for the study through the use of secondary sources of data like internet sources, textbooks, journals, etc. It was discovered that primary exports and diversification, Foreign Direct Investment (FDI); planned use of external aids, natural resources economics, and domestic resource mobilization, constitutes major development strategies for the underdeveloped and developing countries of Africa. It was also discovered that problems of unorganized vision and plans, corruption, poor funding, ineffective tax administration system and poor plan implementation and evaluation limit the success of development strategies in African countries. It was recommended that special funds for development plans should be independent of the general budget and agencies of implementation and evaluation should be created for any development plan or programme.
Review Article: Richard Frederick Heller, The Distributed University for Sustainable Higher Education, Springer, Singapore 2022, pp. XII+80

Richard Frederick Heller’s book is a critique of the contemporary system of higher education, particularly Anglo-Saxon one. In his opinion, the 21st century is developing the fourth generation of universities. Besides education, science, creating of national sense, public policies, cooperation with the external environment, we can see the commercialization of education and science, and the professionalization of university administration. In this way at the universities dominate: the commoditization of higher education, the consumerization of the university diploma, evaluation, competition between universities, managerialism, fiscalism, indicator-mania, reduction of the quality of teaching, pointosis, and grantosis. By the way, there is discrimination against foreign students.
Few-Shot Class-Incremental Semantic Segmentation via Pseudo-Labeling and Knowledge Distillation

We address the problem of learning new classes for semantic segmentation models from few examples, which is challenging because of the following two reasons. Firstly, it is difficult to learn from limited novel data to capture the underlying class distribution. Secondly, it is challenging to retain knowledge for existing classes and to avoid catastrophic forgetting. For learning from limited data, we propose a pseudo-labeling strategy to augment the few-shot training annotations in order to learn novel classes more effectively. Given only one or a few images labeled with the novel classes and a much larger set of unlabeled images, we transfer the knowledge from labeled images to unlabeled images with a coarse-to-fine pseudo-labeling approach in two steps. Specifically, we first match each labeled image to its nearest neighbors in the unlabeled image set at the scene level, in order to obtain images with a similar scene layout. This is followed by obtaining pseudo-labels within this neighborhood by applying classifiers learned on the few-shot annotations. In addition, we use knowledge distillation on both labeled and unlabeled data to retain knowledge on existing classes. We integrate the above steps into a single convolutional neural network with a unified learning objective. Extensive experiments on the Cityscapes and KITTI datasets validate the efficacy of the proposed approach in the self-driving domain. Code is available from https://github.com/ChasonJiang/FSCILSS.