Reviewerly/exHarmony huggingface dataset:
Interactive Video Aided Interactional on Students’ Listening Skill

This research aimed to investigate the effect of interactive video on students' listening skills of the seventh grade at SMPN 1 Gedung Surian and to know where the better media used interactive or Powerpoint media in teaching listening skills. The research employed a quasi-experimental design with a pre-test post-test control group. The sample of this research consisted of 60 seventh-grade students who were cluster random sampling selected and divided into two groups: experimental group and control group. The experimental group was taught using interactive video, while the control group was taught using conventional methods. Data were collected through a listening test before and after the treatment. The data were analyzed using independent samples t-test. The results showed that the experimental group's mean score (73.67) was significantly higher than the control group's mean score (47.23) with a p-value of 0.000. The findings indicated that the use of interactive video had a positive effect on students' listening skills, and as the result of the mean score of both classes the interactive video was more significant than PowerPoint media. Therefore, it is recommended that English teachers use interactive videos as a teaching method to improve students' listening skills.
PENGARUH PENGGUNAAN KOIL RACING TERHADAP PERFORMA MESIN 4 LANGKAH 125 CC

&lt;p class="abstrak" align="left"&gt;&lt;em&gt;The aims of this study are : (1) To determine the effect of using racing coil on the power generated of 4 step motorcycle 125 cc, (2) To determine the effect of using racing coil on the torque generated of 4 step motorcycle 125 cc. The research method used is experimental. The data of this research was obtained by taking measurements on sample of Honda Blade 125 FI 2014 motorcycle. The independent variables were standard ignition coil and racing ignition coil. The variables were maximum shaft power dan maximum shaft torque measured using a dynamometer. The data obtained were then analyzed using quantitative descriptive techniques by describing in the form of graphs and tables. The result of the study are : (1) The use of racing ignition coil has a higher effect on the power produced. (2) The use of racing ignition coil has a lower&lt;/em&gt; effect on the torque produced.&lt;/p&gt;
Incorporation of age into patient early warning scores significantly improves mortality prediction

Abstract Background Age is a critical factor for the assessment of patients attended by emergency medical services (EMSs). However, how age modifies early warning scores’ (EWSs) predictive ability should be unveiled. Aim To determine how age influences the performance of EWS [National Early Warning Score 2 (NEWS2), VitalPAC-Early Warning Score (ViEWS), Rapid Acute Physiology Score (RAPS) and modified Rapid Emergency Medicine Score (mREMS)] to predict 2-day mortality. The secondary objective was to determine the performance of EWSs at different age ranges. Design A prospective, observational study performed between November 2019 and July 2023. Methods A multicenter, ambulance-based study, considering 38 basic life support units and six advanced life support units referring to four tertiary care hospitals. Eligible patients were adults recruited from among all phone requests for emergency assistance who were later evacuated to emergency departments. The primary outcome was 2-day in-hospital mortality (includes all-cause mortality). The main measures were demographical and vital signs needed for EWS calculation. Results and discussion A total of 8028 participants fulfilled the inclusion criteria, with 7654 survivors and 374 non-survivors. Among age ranges, the 2-day mortality was 2.8% for the ≤44 years, 3.3% for the 45–64 years, 4.1% for the 65–74 years and 6.7% for the ≥75-year age group. The inclusion of age significantly improved the Area Under the Curve (AUC) in all the scores (P = 0.006 for non-age-adjusted mREMS, P = 0.001 for NEWS2, P = 0.002 for ViEWS, P = 0.028 for RAPS, all compared with their counterparts with age). Conclusion Our results demonstrated that the incorporation of age into the EWS improved the performance of the scores. These results will allow the EMS to improve patient management and resource optimization by including an easy-to-obtain variable.
EcoSketch: promoting sustainable design through iterative environmental assessment during early-stage product development

Sustainability has long been a topic of substantial interest the design and human-centered computing communities. With industries increasingly prioritizing climate targets, there is a growing demand for sustainable product design. This paper addresses this need through EcoSketch, a digital tool designed to democratize environmental impact assessments for product designers. Shifting typically retrospective evaluations to the early stages of product development, EcoSketch enables proactive consideration and adoption of sustainable alternatives. Unlike software tailored to environmental scientists, it minimizes the need for specialized training or extensive data inputs. We delve into the development and evaluation of EcoSketch, highlighting its unique features and usability strengths. The paper concludes by discussing design implications and proposing future research avenues to strengthen the intersection of human-computer interaction and sustainable product design, advancing progress on environmental challenges at the systems level.
CHATGPT: A CRITICAL EVALUATION

TESOL JournalEarly View e810 MEDIA REVIEW CHATGPT: A CRITICAL EVALUATION https://chat.openai.com İbrahim Halil Topal, Corresponding Author İbrahim Halil Topal [email protected] orcid.org/0000-0003-4220-3706 Gazi UniversitySearch for more papers by this author İbrahim Halil Topal, Corresponding Author İbrahim Halil Topal [email protected] orcid.org/0000-0003-4220-3706 Gazi UniversitySearch for more papers by this author First published: 17 February 2024 https://doi.org/10.1002/tesj.810Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat REFERENCES Aliakbari, M., Khany, R., & Adibpour, M. (2020). EFL teachers' reflective practice, job satisfaction, and school context variables: Exploring possible relationships. TESOL Journal, 11(1), e00461. https://doi.org/10.1002/tesj.461 10.1002/tesj.461 Web of Science®Google Scholar Chen, X., Zou, D., Xie, H., & Cheng, G. (2021). Twenty years of personalized language learning. Educational Technology and Society, 24(1), 205–222. https://doi.org/10.30191/ETS.202101_24(1).0016 10.30191/ETS.202101_24(1).0016 Web of Science®Google Scholar Hamlin, M. D. (2022). Developing self-directed learning skills for lifelong learning. In P. Hughes & J. Yarbrough (Eds.), Self-directed learning and the academic evolution from pedagogy to andragogy (pp. 209–234). Hershey, PA: IGI Global. 10.4018/978-1-7998-7661-8.ch012 Google Scholar Jin, Y., Dewaele, J. M., & MacIntyre, P. D. (2021). Reducing anxiety in the foreign language classroom: A positive psychology approach. System, 101, 102604. https://doi.org/10.1016/j.system.2021.102604 10.1016/j.system.2021.102604 Web of Science®Google Scholar Kohnke, L., & Moorhouse, B. L. (2022). "There's an app for that!" Writing technology reviews for academic journals. RELC Journal, 53(1), 261–265. https://doi.org/10.1177/0033688220945419 10.1177/0033688220945419 Web of Science®Google Scholar York, J. (2023). Engaging with the world: Applying connected learning in a university language learning context. Foreign Language Annals, 56, 334–361. https://doi.org/10.1111/flan.12691 10.1111/flan.12691 Web of Science®Google Scholar Early ViewOnline Version of Record before inclusion in an issuee810 ReferencesRelatedInformation
FDI and the Triangle “Growth, Inequality and Poverty” in North Africa

The economic literature has shown that the effect of FDI on poverty through these instruments has undergone radical changes which reflect, on the one hand, the growing progress, made by the academic community, in the very complex analysis of interactions with income growth and inequality; and the level of political interest in the topic of poverty reduction.
The impact of servant leadership on team innovative performance: Mediating role of employee innovative behavior

This study is aimed at exploring the impacts of servant leadership on team innovation performance, examining the role of employee innovative behavior as a mediator and team innovation atmosphere as a moderator. By conducting a questionnaire survey involving 647 employees from the hotel industry and utilizing structural equation modelling for data analysis. Additionally, the study shows that servant leadership significantly improves employees' innovative behavior, which in turn acts as a mediator between servant leadership and team innovation performance. The team innovation climate was identified as a positive moderator reinforcing the link between service-oriented leadership and employee innovation behavior, as well as employee innovation behavior and team innovation performance. This study provides an incisive view of the beneficial impact of service-oriented leadership on team innovation performance, emphasizing the mediating and moderating role played by employee innovation behaviour and team innovation atmosphere. Based on hotel management, the pursuit of timely and effective responses within an intensely competitive market environment is critical to safeguarding the hotel's competitive standing. To address this challenge, the study offers the following recommendations: the foremost emphasis should be on bolstering employees' innovation capabilities. Second, hotel managers are advised to meticulously select, train, and cultivate leaders with a strong service orientation. Thirdly, enterprise leaders should continually elevate their personal knowledge to provide superior guidance to subordinates.
The Role of Blockchain Technology in Securing Supply Chain Information Systems

This research aims to analyze the role of blockchain technology in securing supply chain information systems. The research method used involves literature study and qualitative analysis of blockchain implementation in the context of existing supply chain information systems. The research results show that blockchain technology can play an important role in strengthening the security and integrity of supply chain information systems. By using characteristics such as decentralization, transparency, and reliability, blockchain can help fight security threats such as cyberattacks, counterfeiting, and data manipulation. Through the use of blockchain, information can be secured, verified and safely accessed by stakeholders in the supply chain. Apart from that, blockchain can also increase efficiency and accountability in supply chain information systems. In conclusion, blockchain technology has significant potential in securing supply chain information systems and can contribute to increasing trust between stakeholders.
Utilization of Reading Bags as a Strategy to Improve Reading Habits for Secondary Schools Learners

The main purpose of this chapter was to investigate the utilization of reading bags to inculcate the love for reading among secondary school learners living in impoverished social settings. A quantitative descriptive cross-sectional design was used to measure the shift in reading strategies after the use of the reading bags strategy to inculcate the love for reading. A total of 155 learners in schools who have interest in the presentations from grade to grade on reading are identified from the Capricorn district in Limpopo province, enlisted for the reading project. The survey with 185 questionnaires on metacognitive reading strategies was applied to collect data. Data were collected in two phases and analysis through using descriptive statistics using the Statistical Package for Social Sciences, version 17. Learners reported a high percentage of 72.3% for global reading strategies, 80.2% for problem-solving strategies and 76.4% for support reading strategies. This study revealed the positive effect of using reading bags to enhance learners' reading habits and develop useful strategies in academic reading.
HIFINet: Examination-Diagnosis-Treatment Hierarchical Feedback Interaction Network for Medication Recommendation

Abstract Medication combination recommendation is critical in clinic, since accurately predicting therapeutic drug can provide essential decision support to physicians. However, current approaches do not consider the multilevel structure of electronic health record (EHR) data or the hierarchical dependencies between multiple visits, leading to suboptimal recommendations. To address these limitations, we propose a novel hierarchical feedback interaction network (HIFINet) to utilize an examination-diagnosis-treatment hierarchical network for modeling the inherent multilevel structure of EHR data. The feedback long short-term memory network called FeLSTM, which is the basic unit of our hierarchical network, performs hierarchical interactions and leverages change information as feedback to propagate forward among different levels. Additionally, HIFINet contains four modules. First, an embedding module is designed to learn the health information representation of patients. Second, a three-layer time-series learning module is employed to capture temporal dependencies within each sequence. Next, a differential feedback interaction module is developed to capture the difference features between visits. Finally, an attention fusion module is used to learn a comprehensive representation of the patient’s health information and to recommend next multiple treatment medications. HIFINet is compared with state-of-the-art approaches on a real-world dataset. The results indicate that HIFINet outperforms other approaches, offering more accurate recommendations.
MGSGA: Multi-grained and Semantic-Guided Alignment for Text-Video Retrieval

Abstract In the text-video retrieval task, the objective is to calculate the similarity between a text and a video, and rank the relevant candidates higher. Most existing methods only consider the text-video semantic alignment in the global view. But using mean-pooling to obtain global semantics and simply aligning text and video in the global view may lead to semantic bias. In addition, some methods utilize offline object detectors or sentence parsers to obtain entity-level information in text and video and achieve local alignment. However, inaccurate detection introduces possible errors and such approaches prevent models from being trained end-to-end for retrieval. To overcome these limitations, we propose multi-grained and semantic-guided alignment for text-video retrieval in this paper, which can achieve fine-grained alignment based on video frames and text words, local alignment based on semantic centers, and global alignment. Specially, we explore summary semantics of text and video to guide the local alignment based on semantic centers for we believe that the importance of each semantic center is determined by summary semantics. We evaluate our approach on four benchmark datasets of MSRVTT, MSVD, ActivityNet Captions, and DiDeMo, achieving better performance than most existing methods.
Implementation of Fuzzy K-Nearest Neighbor Method in Dengue Disiase Classification

Dengue hemorrhagic fever (DHF) is a condition brought on by infection with the dengue virus. DHF is a severe illness with hemorrhagic clinical signs that can result in shock and death. One of the four viral serotypes of the genus Flavivirus is responsible for DHF. DHF symptoms include fever, joint pain, red skin patches, and others that are similar to those of other illnesses. So that there are no errors in illness prediction, strong accuracy and accuracy are required when classifying DHF patients or not. The Fuzzy K-Nearest Neighbor (FKNN) method is used in this study to classify dengue sickness in order to obtain the best classification outcomes. In this investigation, k was searched for eight times, with values of 3,5,7,9,11,13,15, and 20. Each K's accuracy statistics are 75.15, 75.16, 77.58%, 79.51%, 85.01%, 78.14%, and 75.20 percent. K = 13, which has an accuracy score of 85.01%, yields the highest accuracy.
Project Tutok 3Rs (Reading, Writing, Arithmetic) in Maybancal Elementary School

The purpose of this study was to investigate and determine the effectiveness of Project Tutok 3Rs (Reading, Writing, Arithmetic) in improving the performance of grade 4 learners and teacher’s perception in Maybancal Elementary School and SPED Center. This study used quantitative types of research to determine the performance of the learners after the implementation of intervention and tested the significant difference before and after the implementation. This is also a 1ualitative type of research for this determined the perception of the learners after the implementation of intervention and had tested the significant difference on the perception before and after the implementation. The respondents of the study were the Grade 4 learners in Maybancal Elementary School and Sped Center. The study was conducted during the Third Quarter of the school year 2021-2022. Tracking the findings, based from the result on Mean and Paired Sample T-test, the study found that Project Tutok 3Rs increased the performance of the learners where the mean percentage of 82% increased to 90%. It was concluded that in Maybancal Elementary School, Project Tutok 3Rs has a great impact in the improvement of learner’s performances in the school.
ENHANCING BREAST LUMP DIAGNOSTICS: A COMPARATIVE STUDY OF HISTOPATHOLOGICAL AND CYTOLOGY

Introduction: The increasing incidence of breast lumps cases represents a signicant health challenge, necessitating . The integration of multiple diagnostic modalities, including histopathological and cytological techniques, is imperative. Correlating histopathological ndings with cytological evaluation can signicantly enhance the accuracy of preoperative diagnosis and contribute to the development of evidence-based guidelines for integrating cytological evaluation into the diagnostic algorithm for breast lumps. In a prospective observational study at a Methods: tertiary care teaching hospital, female patients aged 18 years and above with palpable breast lumps were enrolled according to the inclusion criteria. Data on demographics and clinical history were collected. Histopathological and cytological evaluations were conducted, assessing concordance, with statistical analysis revealing sensitivity, specicity, PPV, and NPV of cytological evaluation. Ethical considerations, including informed consent and condentiality, were obtained. In the cytological evaluation Results: of 290 breast lump cases, benign cases constituted the majority, accounting for 68%, followed by malignant cases at 27.5%. Out of 290 patients, 75 underwent histopathological examination. Among these, 30 cases were diagnosed as benign, while 45 were identied as malignant. The sensitivity, specicity, positive predictive value, negative predictive value, and accuracy of the present study were 80.12%, 95.62%, 97.2%, 70.12%, and 84.52% respectively. Among cases, 84% exhibit concordance, while 16% show discordance, suggesting a strong association between the two diagnostic methods in the study. The Conclusion: demographic characteristics, cytological and histopathological ndings, along with the correlation analysis, provide a comprehensive understanding of the diagnostic process of breast lump cases. High concordance and favorable statistics validate diagnostic test reliability, addressing discordance improves breast lump diagnosis accuracy.
Low Communication-Cost PSI Protocol for Unbalanced Two-Party Private Sets

Two-party private set intersection (PSI) plays a pivotal role in secure two-party computation protocols. The communication cost in a PSI protocol is normally influenced by the sizes of the participating parties. However, for parties with unbalanced sets, the communication costs of existing protocols mainly depend on the size of the larger set, leading to high communication cost. In this paper, we propose a low communication-cost PSI protocol designed specifically for unbalanced two-party private sets, aiming to enhance the efficiency of communication. For each item in the smaller set, the receiver queries whether it belongs to the larger set, such that the communication cost depends solely on the smaller set. The queries are implemented by private information retrieval which is constructed with trapdoor hash function. Our investigation indicates that in each instance of invoking the trapdoor hash function, the receiver is required to transmit both a hash key and an encoding key to the sender, thus incurring significant communication cost. In order to address this concern, we propose the utilization of a seed hash key, a seed encoding key, and a Latin square. By employing these components, the sender can autonomously generate all the necessary hash keys and encoding keys, obviating the multiple transmissions of such keys. The proposed protocol is provably secure against a semihonest adversary under the Decisional Diffie–Hellman assumption. Through implementation demonstration, we showcase that when the sizes of the two sets are <math xmlns="http://www.w3.org/1998/Math/MathML" id="M1"><msup><mn>2</mn><mn>8</mn></msup></math> and <math xmlns="http://www.w3.org/1998/Math/MathML" id="M2"><msup><mn>2</mn><mn>14</mn></msup></math> , the communication cost of our protocol is only 3.3% of the state-of-the-art protocol and under 100 Kbps bandwidth, we achieve 1.46x speedup compared to the state-of-the-art protocol. Our source code is available on GitHub: https://github.com/TAN-OpenLab/Unbanlanced-PSI.
Balancing Motivation and Burnout in The Learning of Foreign Languages

Being motivated and experiencing burnout during study is a common occurrence, and there appears to be a number of dimensions in which they are related. Despite having the most sophisticated educational frameworks, students always rely on their own motivation to meet their learning goals and avoid burnout at the same time. However, motivation is the driving force behind learning and can act as a mediator in reducing burnout in students. Hence, this study investigates the balancing motivation and burnout in the learning of foreign languages. A quantitative method is used to explore the relation of motivation and burnout in the learning of foreign languages. The data was collected using a five-point Likert scale survey adapted from (Pintrich & DeGroot, 1990; Campos, et al., 2011). There are four sections in the survey. Section A are items on the demographic profile, Section B are 24 items on motivational factors and Section C are the 16 items on burnout factors. 125 undergraduate students studying French at a public university in Malaysia were selected using purposive sampling to answer the survey. The study found that task beliefs and extrinsic motivation drive learners more than intrinsic motivation. Though students are motivated, they are also found to be burned out. This demonstrates the connection between motivation and burnout. The data evaluated using SPSS further supports this, demonstrating a moderate positive correlation between motivation and burnout. The results indicated a significant pedagogical outcome and issued invaluable aspects and future research exploring the correlation between motivation and burnout in the learning of foreign languages is recommended.
The Future of Quick Service Restaurants

Abstract Grant Powell MBCS recently spoke to Alana Abbitt, Vice President of Product Development at Miso Robotics, to learn how AI driven robotic technology is helping to revolutionise the fast food industry.