bluuebunny/crossref_metadata_2025 huggingface dataset:
Leveraging Metal Complexes for Microsecond Lifetime-Based Chloride Sensing
Authors: Morse Jared , Ofodum Nnamdi , Tang Fung-Kit , Schmidt Matthias , Lu Xiaocun , Leung Kaho
Published: September 2024

Chloride is the most abundant anion in cell physiology and plays many critical roles in maintaining cellular homeostasis. However, current chloride sensors are rare, with inherent sensitivity in their emission properties, such as vulnerability to pH changes or short emission lifetimes. These limitations restrict their application in aqueous media and imaging. In this work, we employed a transition metal complex bearing pyridinium as a recognition unit for chloride and studied the phosphorescence emission properties. Iridium(III) complex 1 was synthesized as an alternative chloride-sensitive luminophore. The conjugable design also allows customization for desired applications. Complex 1 exhibited high sensitivity and selectivity in chloride sensing across different physiological environments, regardless of pH fluctuation and ionic strength. Additionally, complex 1 featured a long microsecond emission lifetime. The chloride sensing ability of complex 1 can be measured through both luminescence intensity and long-lived phosphorescent lifetime simultaneously, providing an alternative potential route for chloride imaging.
Fuzzy Prosthesis
Authors: Ashok Singh Sushma , Kaur Manni Simranjeet , Mishra Swagatika
Published: September 2024

Artificial Intelligence AI and Machine Learning ML have paved the pathway for a brighter techy future in the field of Prosthetics by acting as a boon for Persons with DisabilityPeoples with Determination PwDs. Biomechanotronics is a branch of mechanotronics and involves four main units. This can be integrated with artificial intelligence for better results and user experiences. We have discussed microprocessor knee joint for better insight into this concept.
Physiological Cost Index of Walking Performance Over Treadmill and Synthetic Track in Post-COVID Patients
Authors: Tomy Thomsun , Ravichandran Hariharasudhan , Oliver Raj Alexander Joseph , Prabhu Karthik
Published: September 2024

Background A majority Covid patients discharged from the hospital suffered challenges with long-term complications such as fatigue shortness of breath and endurance. The energy demand increases in all the activities especially while walking. Data for identifying the efficiency of ambulation after COVID-19 infection is lacking. Objectives To identify the difference in the lsquoPhysiological Cost Indexrsquo of walking on the treadmill and on a synthetic track in individuals recovering from COVID-19.Methods A single-group repeated study design was adopted in which 11 COVID-19-recovered individuals participated following discharge from institutional care. The physiological cost index was estimated by walking on a synthetic track and treadmill. Medically stable adults discharged from Alvarsquos Health center following the diagnosis of COVID-19 were recruited for the study. The physiological cost index was measured in Alvas Fitmaxx Moodbidri Dakshina Kannada Karnataka.Results Walking speed heart rate and time taken were the variables measured and the physiological cost index was estimated from these variables. A significant P lt0.003 relationship between the physiological cost index of walking on a synthetic track and treadmill was established. The energy efficiency of walking on synthetic tracks was noted to be economical compared to treadmills.Conclusion Treadmill walking had no role in improving the physiological cost index of patients recovered from COVID-19 and hence any post-COVID outpatient rehabilitation is ideal to be performed on a synthetic track rather than on a treadmill. Future studies with larger sample sizes on various walking surfaces could validate the results of this present study.
Leisure Time Activity Participation and its Impact on Quality of Life among Stroke Survivors
Authors: Ashwini Divate , Sudhir V Bhatbolan , Bhavani S Ballur
Published: September 2024

Background and Objectives Stroke represents a global public health challenge contributing to mortality morbidity activity limitations and participation issues. Active engagement in leisure activities is known to independently predict well-being and plays a substantial role in the social context. This survey aimed to explore leisure time activity participation among sub-acute or chronic stroke survivors and its impact on their Quality of Life QOL.Method A total of 109 sub-acute or chronic stroke survivors participated in the study. Comprehensive sociodemographic information responses regarding leisure time activity participation and barriers experienced during such activities were documented. The Stroke Specific Quality of Life scale SSQOL was employed to assess the overall quality of life among individuals.Results Descriptive statistics were used to analyze socio-demographic data. An independent t-test was conducted to compare leisure time activity participation with quality-of-life scores revealing a significant difference between groups t8.5426 P0.0001. Further an independent t-test was applied to compare individual domains of SSQOL scores in participants and non-participants with significance found in all domains except for personality t1.4592 P1.475. Conclusion Leisure time activity participation exerts a positive and significant influence on all domains of quality of life excluding personality. The study also documented barriers to participation providing valuable insights from the perspective of the patients. This research underscores the importance of promoting leisure activity engagement for enhancing the overall well-being of stroke survivors and emphasizes the need for addressing specific barriers to foster a more inclusive and fulfilling post-stroke life.
A PREDICTION MODEL FOR STROKE BASED ON MACHINE LEARNING ALGORITHMS
Authors:   Department of Computer Science Libyan Academy for Postgraduate Studies,  Libya, Benghazi, Mohamed Abdelhafid Ali I.
Published: September 2024

In this modern era, people are working hard to meet their physical needs and non-effective their ability to spend time for themselves which leads to physical stress and mental disorder. Many reports state that stroke is caused when blood flow to a part of the brain is stopped abruptly. Without the blood supply, the brain cells gradually die, and disability occurs depending on the area of the brain affected. According to the World Health Organization (WHO), stroke is the greatest cause of death and disability globally. Early recognition of the various warning signs of a stroke can help reduce the severity of the stroke. In this research work, with the aid of machine learning (ML), several algorithms has been used and evaluated for the long term risk prediction of stroke occurrence. We have collected datasets to analyze data and mining using 8 algorithms of machine learning to predict whether the patient suffers from stroke or not. This paper used a dataset retrieved from kaggle repository, which consists of 12 attributes (Features). This work is implemented using K-Nearest Neighbors (KNN), Naïve Bayes (NB), Logistic Regression (LR), Support Vector Machine (SVM), Random Forest (RF), Decision Tree (TD), Neural Network (NN) and eXtreme Gradient Boosting (XGB) algorithms. Results showed eXtreme Gradient Boosting (XGB) gave the best result with an accuracy of up to 95.14%.
LIDERAZGO Y DESEMPEÑO LABORAL DE LOS TRABAJADORES EN UNA EMPRESA DEL SECTOR AGROINDUSTRIAL
Authors: Carlos Cajo Nayeli Thalia , Moran Amaro Stefany Meylin , Suclupe Guevara Haydee Patricia , Romero Pérez Camila Ibeth , Ruiz Diaz Neyla Judith
Published: September 2024

En el presente artículo, se obtuvo como objetivo determinar la relación entre el liderazgo y el desempeño laboral de los trabajadores de la empresa Agroindustrial Beta, 2024. Se empleó una metodología aplicada, con un diseño no experimental, con un enfoque cuantitativo de nivel correlacional. En cuanto a la población y muestra, estuvo compuesta por 67 colaboradores. Con el fin de recolectar los datos, se utilizó como instrumento un cuestionario mediante la técnica de la encuesta compuesto por 24 ítems: 12 para la variable de liderazgo, y 12 para la variable de desempeño laboral, evaluados en una escala de Likert. Para el análisis y procesamiento de datos se hizo uso del Software SPSS, generando tablas para comparar ambas variables. Se concluyó la correlación positiva moderada con un valor de r= 0,509, gracias a la utilización del Rho de Spearman, a la vez con una Sig. bilateral de 0,00 menor a 0,05, pues esto conllevó a rechazar la hipótesis nula y aceptar la alterna, concluyendo que la relación entre liderazgo y desempeño está estrechamente vinculada en cualquier organización, pues un líder con buenas habilidades es capaz de dirigir y mejorar un grupo de personas, influyendo significativamente en su desempeño laboral.
LOGÍSTICA INVERSA Y CADENA DE SUMINISTRO EN UNA CAFETERÍA DE CHICLAYO
Authors: Aguilar Olano Anai Varinia , Delgado Medina Cristhian Paul , Pereyra Verastegui Ronald , Solís Dilas Diana Carolina , Vallejos Moro Carlos Rodrigo
Published: September 2024

Este trabajo tiene como objetivo: Trabajo decente y crecimiento económico, en efecto, aporta datos para futuros lectores y conocimiento. Asimismo, el propósito principal del trabajo fue determinar la conexión entre la “logística inversa” y “cadena de suministro” en la cafetería Café Bar 900 en el año 2024. Para su alcance se desarrolló una indagación descriptiva correlacional, diseño no experimental y para recolectar la debida información fue muy necesario emplear un cuestionario, que estuvo dirigido a los 20 empleados de la cafetería. Los principales resultados confirmaron que el nivel de implementación de la logística inversa en Café Bar 900 se sitúa en un nivel moderado con el 52%. Además, recuperación alcanzó 31% y transformación de productos alcanzó un nivel del 42%, transporte obtuvo un nivel bajo del 26% y por último la dimensión almacenamiento obtuvo un nivel medio del 47%. Asimismo, el nivel de eficiencia en la cadena de suministro logró situarse en nivel moderado con el 52%, logística alcanzó un nivel del 31%, inventarios obtuvo un nivel medio con 42%, sostenibilidad alcanzó un nivel del 31% y por último la dimensión factor servicio al cliente obtuvo un nivel del 42%. Se llegó a concluir que entre la “logística inversa” y “cadena de suministro” existe relación con un coeficiente de “Rho de Spearman” de 0.943, siendo positiva alta por lo que es importante tomar en cuenta un plan de mejora continua para estas áreas.
Advancements in multilevel inverter technologies for photovoltaic-Z-source based EV applications: A comprehensive analysis and future directions
Authors: Koustuv Sarkar , Krishna Sarker
Published: September 2024

Global demand for electricity has risen, driving a shift toward sustainable energy sources like Photovoltaic (PV) systems. Despite their efficiency challenges compared to traditional fuels, significant investments and research are advancing the technology. This paper investigates multilevel inverter topologies, with a focus on Z-source technology for high-power PV applications. The study begins with an overview of the growing demand for alternative energy sources and the role of multilevel inverters in enhancing PV system performance. It discusses prominent multilevel inverter topologies, such as Neutral Point Clamped (NPC) and Cascaded H-Bridge (CHB) inverters, as well as control techniques including Pulse Width Modulation (PWM) and Predictive Control. Furthermore, it explores the functionality of Z-source inverters both with and without PV systems, highlighting their ability to provide voltage boosting, fault tolerance, and improved power quality. For load purposes, Electric Vehicle (EV) charging has been incorporated. The paper uses MATLAB/Simulink to compare multilevel inverter configurations and finds that the CHB inverter with Z-source is superior for PV applications due to its lower Total Harmonic Distortion (THD) and reduced semiconductor usage. The study also simulates a hybrid storage system with batteries and supercapacitors. The paper concludes with insights into future research directions, advanced control strategies, optimization techniques, and grid integration methods. These avenues promise further enhancement of efficiency, reliability, and grid compatibility for multilevel inverters in PV systems. Overall, this research contributes to the selection of optimal multilevel converter topologies for improving the performance of PV systems and advancing the integration of renewable energy into the electrical grid. The findings offer valuable insights for researchers, practitioners, and policymakers working toward a sustainable energy future.
Design and analysis of improved mountain gazelle optimization tuned PID and FOPID controllers for PV MPPT system
Authors: Hemachandran Veerasamy , Arounassalame Mouttou , Rathidevi U.
Published: September 2024

The solar photovoltaic (PV)-based Maximum Power Point Tracking (MPPT) systems have gained popularity in recent times. This work proposes the improvement and implementation of a newly introduced optimization technique, the Improved Mountain Gazelle Optimization (IMGO) algorithm, for tuning the Fractional Order Proportional-Integral-Derivative (FOPID) and Proportional-Integral-Derivative (PID) controllers for the MPPT control strategy. The performances of the controllers were evaluated with reference to error criteria and settling time of the response. The performance parameters mentioned above are compared with those of PID and FOPID controllers tuned using Genetic Algorithm (GA) and Grey-Wolf Optimization (GWO) algorithms. The simulation study was carried out in the MATLAB/SIMULINK environment. The analysis found that the FOPID controller tuned using the Improved Mountain Gazelle Optimization algorithm provides better results in terms of settling time and error when compared to the PID controller.
Empowering hybrid EVS with bidirectional DC - DC converter for seamless V2G and G2V integration
Authors: Meenambikai P. S. , Dharma Raj T. , Prem Kumar R. , Anita Merlin I.
Published: September 2024

This paper unveils a groundbreaking wide-range DC-DC converter with significant voltage gain and bidirectional capability, engineered explicitly for Hybrid Electric Vehicle (HEV) chargers. This converter facilitates both Vehicle-to-Grid (V2G) and Grid-to-Vehicle (G2V) operations. It aims to revolutionize efficiency, voltage range, and bidirectional power flow capabilities, marking a significant leap forward from existing solutions. A meticulous comparative analysis between established systems and the proposed converter highlights its distinct advantages and evolutionary strides within the HEV charging infrastructure landscape. By enhancing the versatility and performance of HEV chargers, this converter promises to address critical challenges in energy management and integration. Its innovative design not only optimizes energy transfer but also supports future advancements in smart grid technology and sustainable transportation. The results of this study underscore the converter's potential to drive forward the next generation of electric vehicle infrastructure, paving the way for more efficient and resilient energy systems.
Performance analysis of power system dynamics with facts controllers: Optimal placement and impact of SSSC and STATCOM
Authors: Vijay Prashant Yadaraju , Siva Kumar M.
Published: September 2024

This paper explores the impact of integrating Flexible AC Transmission Systems (FACTS) controllers, specifically the Static Synchronous Series Compensator (SSSC) and the Static Synchronous Compensator (STATCOM), on power system performance. The objective of this study is to evaluate how these controllers can enhance various aspects of power system operation, including voltage regulation, power flow stability, and overall system efficiency. The methodology involves simulating power systems with and without the deployment of SSSC and STATCOM and analyzing their effects on voltage profiles, power flow characteristics, and system losses. The findings reveal that both SSSC and STATCOM significantly improve voltage stability and power flow control, leading to reduced system losses and enhanced operational efficiency. This study introduces a novel approach by comparing the performance enhancements provided by SSSC and STATCOM in different operational scenarios, offering valuable insights into their effectiveness. The results underscore the potential of FACTS technology in advancing power system stability and efficiency, making a substantial contribution to the field of power system optimization.
Enhancement of polyphenols and haematological profile of rats fed with
traditional African soups
Authors: Ejueyitsi E.O. , George B.O. , Anigboro A.A. , Okpoghono J.
Published: September 2024

Nigeria is a multi-ethnic and multicultural country where several traditional soups are
indigenous to the various social groups. When soups are prepared with the right spices, it
can be truly healthy with multiple biochemical/nutritional benefits. The objective of the
study is to determine some blood parameters, total iron binding capacity (TIBC),
polyphenols and flavonoid content of rats fed with indigenous soups in Delta State,
Nigeria. A total of twenty-five mature male albino Wistar rats were divided into five
groups of five rats each. Group 1 rats served as control, rats in Group 2 were given
Igbagba soup (okro pepper soup), rats in Group 3 were administered Oghwo ameidi (palm
nut soup; soup made from African palm fruit; Elaeis guineensis). Group 4 and Group 5
rats were given Offe ikere (pepper soup) and aqueous tween 80 respectively. The rats in
each group were allowed free access to clean drinking water and feed for 28 days
experimental period. The results indicated that rats given soup extracts (Group 2, 3 and 4)
their serum total polyphenol content was 20.75, 12.24 and 9.83 mg/g, respectively, while
the control value was 2.81 mg/g. Significant increases in TIBC, total flavonoids, packed
cell volume (PCV), haemoglobin (Hb), red blood cells (RBC), and white blood cells
(WBC), were observed in rats given the soup extracts when compared with control. The
study has shown that African indigenous soups may improve haematological indices
owing to their polyphenol and flavonoids content.
Innovative Research on Enterprise Marketing Strategies under the Background of New Media
Authors: Wen Haigang
Published: September 2024

Marketing is one of the comprehensive development strategies for production-oriented and service-oriented enterprises, and it is also an effective path to increase income and revenue for enterprises. By operating and selling the main products, services, cultural concepts, and many more of the enterprise in a market-oriented manner. We aim to deepen the impression of the enterprise among consumers, enhance its market influence, and seek more opportunities for cooperation and development for the enterprise. However, with increasingly fierce market competition, traditional marketing models are no longer able to maximize their effectiveness. This article firstly analyzes the positive impact of new media background on enterprise marketing in expanding the scope of information release, improving marketing targeting, and creating new marketing platforms. Secondly, it explores the problems faced by enterprises in the current marketing process, such as outdated ideological concepts, insufficient team building, and rigid marketing content. Finally, strategies such as updating marketing concepts, strengthening team building, and innovating marketing content were proposed to provide some reference and inspiration for enterprises to smoothly promote marketing work under the background of new media.
Research on the Impact of Digital Transformation on the Performance of Manufacturing Enterprises
Authors: Ma Longfei , Ratchatakulpat Thanaphon , Supasettaysa Gumpora
Published: September 2024

To address the challenges faced by manufacturing enterprises in digital transformation, this paper analyzes the relationship between digital transformation and enterprise performance. Using panel data from domestic A-share-listed manufacturing enterprises from 2012 to 2022, two hypotheses were proposed. The analysis and verification revealed that digital transformation in manufacturing enterprises can enhance performance and reduce costs. Based on the impact of digital transformation on manufacturing enterprise performance, optimization suggestions are proposed to guide future digital transformation and performance improvement efforts in these enterprises.
Research on Innovation Strategy of Supply Chain Management of Agricultural Enterprises Under the Background of Big Data
Authors: Ouyang Zhaoyong , Liu Guanlin
Published: September 2024

With the rapid development and widespread application of Big Data technology, the supply chain management of agricultural products enterprises is facing unprecedented reform and challenges. This study takes the perspective of Big Data technology and collects relevant information on the application of supply chain management in 100 agricultural product enterprises through a survey questionnaire. The study found that the use of Big Data can effectively improve the accuracy of demand forecasting, inventory management efficiency, optimize logistics costs, improve supplier management efficiency, enhance the overall level of supply chain management of enterprises, and propose innovative strategies for supply chain management of agricultural products enterprises based on this. Big Data technology brings a new solution for agricultural products enterprises to enhance their supply chain management level, making the supply chain smarter and more efficient.
The Impact of E-Commerce Live Broadcasts on Consumers’ Purchase Intention
Authors: Bian Xingchao , Ratchatakulpat Thanakon , Maisak Rattanavalee
Published: September 2024

E-commerce live broadcast has an important influence on consumers’ purchase intention. The three dimensions of live broadcast content in the broadcast room are the number of comments, product quality, and live content as independent variables. A theoretical model is constructed with perceived value and risk as intermediaries and the consumers’ purchase intention as the dependent variable, and corresponding hypotheses are put forward. We designed the scale, collected relevant data, and tested the model hypothesis using Statistical Package for Social Sciences (SPSS) and Analysis of Moment Structure (AMOS) software. The study found that the number of comments and product quality had a significant impact on perceived value, perceived risk, and consumers’ purchase intention. From this conclusion, it is suggested that businesses should control the number of comments, strengthen the product quality of comments, and distinguish the repetition degree of the content of live broadcasts.
The Effects of the Application of Think Pair Share (TPS) on the Students’ Speaking Achievement and Anxiety
Authors: Khaeruddin Baso Ahmad , Abduh Amirullah , Baa Sultan
Published: September 2024

The objective of this study was to determine the students’ achievement and anxiety by the implement of the think pair share method teaching speaking skill at SMA Insan Cendekia Syeh Yusuf Gowa. The study is designed in this study was quantitative with post-test and pre-test of the students tenth grade SMA Insan Cendekia Syeh Yusuf Gowa's academic year 2022-2023. The population of this study is class X was used as the sample, and it was chosen using a random selection procedure. The findings demonstrated that the mean scores of post-test of students was greater than the mean pre-test scores; the post-test mean score was (90.5333), whereas the mean score pre-test was (81.0667). The score from the alternative hypothesis (H1) is approved, hypothesis (H0) is rejected. The results of this study indicates that implementing THINK PAIR SHARE to students in Class X of SMA Insan Cendekia Syeh Yusuf Gowa was significantly improved the students’ achievement and reduce speaking anxiety. Keywords—Think Pair Share, Teaching speaking skill, Speaking achievement and anxiety
The Use of Podcasts in Improving Students Listening Skills at University Level
Authors: Ainun Andi , Munir Munir , Tahir Muhammad
Published: September 2024

The objective of the research was to determine whether there was a significant effect the use of podcasts on the students listening skills. This research was done at Universitas Negeri Makassar.  The  population  of  this  research  was  the  students  from  Universitas  Negeri Makassar. The researcher used cluster random sampling to choose the sample of the research. The sample of this research was 25 students from class D 2020. The researcher used a quantitative technique.  The instrument of  this research  was a  liste ning test  using audio podcast which was administered as a pretest and post-test. Based on the result of data analysis showed that the use of audio podcast improved the students listening skill. It was shown by the mean post-test score which was higher than the mean pretest score (63.63>51.76). Then, the researcher concluded that using audio podcasts on the listening skills has a significant effect on students listening skill.Keywords: Audio-Podcast, Listening Skill
Improving Students’ Listening Skill Using English Pop Songs at SMA Negeri 3 Jeneponto
Authors: Anjani Fahira , Talib Ahmad , Korompot Chairil Anwar
Published: September 2024

The purpose of this study was to find out whether the use of English pop song improve the listening skill of the second year students at SMA Negeri 3 Jeneponto. The independent variable in this study was the use of English pop songs while the dependent variable is listening skill. The population in this research was the students of class XI at SMA Negeri 3 Jeneponto, while the sample was students of class XI MIA 1 consist of 19 students. The research data was obtained by giving a listening test in the form of pretest and post test. The data analysis technique was descriptive statistics and t-test. Based on the results of the analysis, the probability value = 0.001 was lower than the level of significance value = 0.05. It can be concluded that the use of English pop songs can improve the listening skills of the students class XI MIA 1 at SMA Negeri 3 Jeneponto.Keywords— Improving, Pop Song, Listening Skill.
The Use of Podcast in Improving Listening Skill of EFL Students at SMA Negeri 12 Makassar
Authors: Febrianti Ririn , Talib Ahmad , Ariyani Amra
Published: September 2024

This study was a pre-experimental research that aimed to find out whether the use of podcast improves EFL students' listening skill at SMAN 12 Makassar. The independent variable of this study is the use of podcast and the dependent variable is the students' listening skill. The population of this study was all of the students of XI MIPA Classes of SMAN 12 Makassar and the sample was XI MIPA 2 class with 36 students. The research sample was selected by using a cluster random sampling. The research data were obtained by giving a multiple choices listening tests in the pretest and posttest. The analysis technique used in this research was descriptive statistical and inferential statistical techniques. Based on the analysis results, P = 0.000 is smaller than α = 0.05 and the students’ mean score in posttest (77.77) was higher than the students’ mean score in the pretest (56.25). So, it was concluded that the use of podcast significantly improved the listening skill of EFL students at SMAN 12 Makassar. This research only focused on the use of audio podcast on Spotify in improving students' listening skill. Future researchers may be able to conduct research to find out how audio podcasts or other types of podcasts can improve other skills such as speaking, reading, and writing.Key words-- podcast, listening skill
Exploring English Vocabulary Mastery Through Watching Movie: A Descriptive Qualitative Design
Authors: Arif Sri Rezky , Jefri Riny , Asfah Indrawaty
Published: September 2024

This study aims to find out whether the application of film as a learning medium can improve the English vocabulary skills of the subjects. The subjects of this study were students of the Bahasa Inggris D4 or commonly called Business English Communication study program class of 2020. The sample consisted of 30 students from class A and B. In carrying out this study, data was obtained by giving 2 tests and treatment. The treatment in question is watching a movie called The Founder. The results of the study show that the 2020 students' Business English Communication vocabulary skills are still lacking . This can be seen from the results of test 1 which only obtained an average result of 69.7 while test 2 was 62.8 and the use of film as a learning medium. still has a small impact on the vocabulary mastery of Business English Communication 2020 students. Based on the findings above, the researcher concludes that the use of film as a learning medium does not have a major impact on the vocabulary of Business English Communication 2020 students because it can be seen from the low test results they obtained.Keywords: English, Vocabulary Mastery, Impact, Movie
The Use of Matching Game to Improve Students’ Vocabulary
Authors: Al-Audh Muhammad Djawhary , Muhayyantg Maemuna , Sakkir Geminastiti
Published: September 2024

The aim of this study was to know the impact of the Matching Game on students’ vocabulary mastery. This research method was a pre-experimental design. The population of this research was the seventh-grade students of SMPN 1 Bajeng in academic year 2022/2023 through a convenience sampling technique. The sample of the research is seventh grade D which consists of 31 students. The pre- and post-tests for the research's vocabulary test were given. The results of the study demonstrated that vocabulary development in students can benefit from the use of matching games. It was established that the pre-test mean score for students was 50.19, while the post-test mean score for students was 68.13. The usage of a matching game could enhance students' vocabulary, according to the statistics.Keywords— Matching Game, Vocabulary Mastery.
Discrepancy of MA Arifah Gowa Student's Speech toward Leech Language Politeness Principles
Authors: Idawati Idawati , Juwita Juwita , Salam Rosdiah
Published: September 2024

The research highlights the discrepancy between MA Arifah Gowa students' polite speech and Leech language politeness. This research is descriptive qualitative research. The data in this research are students' speech in words, clauses, and sentences that do not comply with the principles of language politeness based on Leech's theory. The results show that the discrepancy between students' speech and the principles of language politeness occurs in five maxims, including the maxim of wisdom, the maxim of generosity, the maxim of praise, the maxim of humility, and the maxim of agreement. Keywords: discrepancy, politeness principles, student language
Parents’ Techniques in Introducing English for Young Learner
Authors: Khairiyah Nurul , Aeni Nur , Sofyan Ryan Rayhana
Published: September 2024

Young students should start receiving English instruction at a young age. Parental involvement in their children's English education is crucial. By using a variety of learning approaches, parents can help their kids learn English from a young age. This study attempts to examine the methods employed by parents to start and expose their young learners to the language. Research tools in the form of interviews with 7 parents served as the data gathering strategy for this qualitative study. Several parenting strategies for teaching their kids English are categorized in this study. By using research tools in the form of interviews with 7 parents as a method of data collecting, research was carried out qualitatively. Several parenting strategies for teaching their kids English are categorized in this study. The findings indicated that parents exposed their kids to English in a variety of ways, including vocabulary introduction, the use of a vocabulary memorizing system, engaging learning techniques, and the use of learning resourcesKeywords: English fo Young Learners; Parents’Technique.
Exploring EFL Teachers’ Strategies in Teaching Vocabulary at Senior High School Level (Case Study at SMKN 1 Barru)
Authors: Farahdiba Aulya , Sunra La , Amirullah Amirullah
Published: September 2024

The objectives of the research were to find out (1) the EFL teachers’ strategies in teaching English at Senior High School level; (2) the EFL teachers’ strategies in teaching vocabulary at Senior High School level; and (3) the EFL teachers’ problem in teaching vocabulary at Senior High School level. This research applied qualitative method. The subject of this study was an English teacher who taught at SMKN 1 Barru. The data collected were observation, questionnaire checklist and interview. The result of this study showed that (1) the EFL teacher uses five strategies in teaching English, discussion and demonstration strategies, using electronic media as a learning media, using games(applications), teaching vocabulary strategy; (2) the EFL teacher uses four strategies in teaching vocabulary to students, such as learning new vocabulary strategies independently without the help of teachers and other students, using strategies that involve teachers and other students, using strategies to remember new words or vocabulary, using games (applications); (3) the several problems faced by the teacher in teaching vocabulary, such as lack of motivation, phone dependency and self-confidence. Keywords: Teaching Strategies, Vocabulary, Teaching Vocabulary.
Students’ English Descriptive Writing Performance in SMP Negeri 26 Makassar
Authors: Damayanti Zahra Azizah Hayuningtyas , Noni Nurdin , Muhayyang Maemuna
Published: September 2024

The purpose of this study was to identify the students’ range level and the problems encountered by students’ in their English writing performance at the 1st grade of SMP Negeri 26 Makassar. This study used the explanatory sequential mixed method with purposive sampling. The sample of this research are 30 students from the VII-1 grade. The research instrument used was a writing test to determine the range level of students' writing performance abilities and interviews as a support to find out what were the problems that students faced in writing descriptive texts in English. The results of the data analysis showed that the total average score of students' writing descriptive text writing performance was 68.23 which was in a good category, and the results of the interviews showed that students still had difficulties, especially in the vocabulary aspect which was influenced by the use of google translate. Thus, it can be concluded that the problems encountered by students in their performance of writing descriptive texts in English still have weaknesses, especially in the use of punctuation and writing spelling in the mechanics component.Keywords: writing performance, descriptive text, SMP Negeri 26 Makassar
Using TPS Via Group Scrabble to Promote Students English Learning Vocabulary
Authors: Alimatunnis Alimatunnis , Samtidar Samtidar , G. Hasriani
Published: September 2024

This study aims to promote students' use of Scrabble game combined with Think-Pair-Share method in engaging English vocabulary learning cooperatively or individually. This research provides benefits and useful information in teaching and learning, especially in vocabulary learning through the promotion of game media. The learning process is responsive to teaching materials using Scrabble game media with Think-Pair-Share technique. This research was conducted using Descriptive Qualitative, for data collection techniques, researcher used observation methods, documentation studies, and also interviews conducted in the school environment. The results of the acquisition of class 1A scores experienced a satisfactory increase starting from cycle II sessions I and II 57.14% - 80.95% while the acquisition of class 1B scores 54.17% - 87.5% the acquisition proved satisfactory results. Promoting the use of Scrabble vocabulary game media as English language learning media and TPS method has a positive influence on students, able to arouse interest in learning, increase students' vocabulary better, help students to learn to engage in the language learning process cooperatively and individually.Keywords: Scrabble game, Think Pair Share, English vocabulary teaching
Senior High School Students’ Motivation to Enroll in English Language Schools
Authors: Arief Rahmi , Korompot Chairil Anwar , Sakkir Geminastiti
Published: September 2024

This research aims to find out what students' motivations are when enroll an English Language Schools. This research used a qualitative research method with a qualitative descriptive design involving 7 grade 3 students at SMA Negeri 3 Makassar. Data collection techniques include observation, interviews and documentation. The result of this research reveals that several students’ motivations when enrolling for an English Language schools experienced intrinsic and extrinsic motivation. But the most dominant motivation is extrinsic motivation.Keywords: Motivation, Intrinsic and Extrinsic Motivation, English Language Schools.
Students' Needs Analysis of Interpersonal Communication Course
Authors: Nurul Inayah S Andi Nurul Inayah S , Farahdiba Syarifah , Sofyan Ryan Rayhana
Published: September 2024

The purpose of this research is to find out the students’ needs in Interpersonal Communication course. The researcher applied mixed methods or QUAN-Qual research design. The subjects of the research were 133 students of English Literature 2021. The subjects were chosen by using total sampling and purposive sampling. The research data were obtained by giving questionnaire. Then the data was analyzed by using descriptive statistics. The result shows that desire of the students gets the highest average with 4.38 while for the necessity with 4.05 and the deficiency with 3.57. The interview result show that the students’ desire is an interesting learning method which suited with them, students’ deficiency is constructing sentences in formal speaking, and students’ necessity is improving English skill especially speaking skill.  In conclusion, students have need in the interpersonal communication course.Key words-- Needs Analysis, Interpersonal Communication
The Impact of Using English Short Stories in Building Students’ Characters
Authors: Salsabila Nurul , Talib Ahmad , Sofyan Ryan Rayhana
Published: September 2024

This study aims to determine the impact of using English short stories in building Students’ characters. It employs a qualitative research method with a qualitative descriptive design involving 7 students in the third grade of SMA Negeri 3 Makassar. Data collection techniques include observation, interviews, and documentation. The results of this research found that the study reveals five impacts on students’ characters. The impacts are, students’ behavior that lead to positive behavior, increasing students’ empathy and responsibility character, help students prevent the negative traits, and the last one is students find that there are positive impacts of using English short stories including, increasing language skills, increasing the interest of literacy, and also there is positive character formation in students.   Keywords— Factors, Students' Understanding, Daily English Vocabulary.
Jasmine Flower Classification with CNN Architectures: A Comparative Study of NasNetMobile, VGG16, and Xception in Agricultural Technology
Authors: Saputra Danar Bayu Adi , Sari Christy Atika , Rachmawanto Eko Hari
Published: September 2024

Jasmine flowers have many benefits and uses such as for traditional medicine, tea, perfume, cosmetics, decoration, and others. in the selection of fresh jasmine flowers for making tea is very important, currently the classification of jasmine flowers for making tea is mostly still using manual methods. Often influenced by individual preferences, opinions, or biases. this causes a lack of objectivity and uncertainty in the classification of jasmine flowers. The manual method is very weak due to human visual limitations and fatigue levels which can result in less than the optimal jasmine flower classification. Therefore, in the research that has been done, a transfer learning system was applied that can classify fresh jasmine flowers with rotten jasmine flowers. This study aims to compare three different Convolutional Neural Network architectures: NasNetMobile, VGG16, and Xception. The results on the three architectures can show maximum results, namely 99.21% for NasNetMobile, 98.69% for VGG16 and 97.91% for Xception. This study provides insight into the classification of good and bad jasmine flowers to encourage further exploration in the field of agriculture.
The Three Worlds of Task Complexity
Authors: Gill Grandon , R Gill Thomas
Published: September 2024

Aim/Purpose: To provide a systematic approach to defining task complexity using a three worlds model previously introduced in informing science research.

Background: The task complexity construct presents researchers with a quandary. While it appears useful on the surface, repeated attempts to define it rigorously have failed to gain traction in the broader research community. The level of inconsistency between definitions is shown to have changed little in the past 20 years.

Methodology: Using a common framework that treats task complexity as a latent construct residing between sources and outcomes, moderated by both task familiarity and task discretion, separate models for each of the three worlds are developed.

Contribution: Our paper proposes a potential path forward by showing how many issues in past task complexity research can be reconciled by framing the construct according to the three worlds model: the world we experience, the world of human artifacts, and the “real world.”

Findings: The framework defines experienced complexity as occurring in the mind of the task performer while performing a single task instance, intrinsic complexity as a function of the internal characteristics of the problem space used to perform a bounded set of task instances, and extrinsic complexity as the ruggedness of the fitness landscape in which the task is performed.

Recommendation for Researchers: It offers a path to convergence for definitions of task complexity.

Future Research: The three worlds of task complexity can potentially be applied to many practical problems.
A Constructionist Approach to Learning Computational Thinking in Mathematics Lessons
Authors: Yunianto Wahid , Sami El-Kasti Houssam , Charitas Indra Prahmana Rully , Lavicza Zsolt
Published: September 2024

Aim/Purpose: This study presents some activities that integrate computational thinking (CT) into mathematics lessons utilizing GeoGebra to promote constructionist learning.

Background: CT activities in the Indonesian curriculum are dominated by worked examples with less plugged-mode activities that might hinder students from acquiring CT skills. Therefore, we developed mathematics and CT (math+CT) lessons to promote students’ constructionist key behaviors while learning.

Methodology: The researchers utilized an educational design research (EDR) to guide the lesson’s development. The lesson featured 11 applets and 22 short questions developed in GeoGebra. To improve the lesson, it was sent to eight mathematics teachers and an expert in educational technology for feedback, and the lesson was improved accordingly. The improved lessons were then piloted with 17 students, during which the collaborating mathematics teachers taught the lessons. Data were collected through the students’ work on GeoGebra, screen recording when they approached the activities, and interviews. We used content analysis to analyze the qualitative data and presented descriptive statistics to quantitative data.

Contribution: This study provided an example and insight into how CT can be enhanced in mathematics lessons in a constructionist manner.

Findings: Students were active in learning mathematics and CT, especially when they were engaged in programming and debugging tasks.

Recommendations for Practitioners: Educators are recommended to use familiar mathematics software such as GeoGebra to support students’ CT skills while learning mathematics. Additionally, our applets are better run on big-screen devices to optimize students’ CT programming and debugging skills. Moreover, it is recommended that students work collaboratively to benefit from peer feedback and discussion.

Recommendation for Researchers: Collaboration with teachers will help researchers better understand the situation in the classroom and how the students will respond to the activities. Additionally, it is important to provide more time for students to get familiar with GeoGebra and start with fewer errors to debug.

Future Research: Further research can explore more mathematics topics when integrating CT utilizing GeoGebra or other mathematics software or implement the lessons with a larger classroom size to provide a more generalizable result and deeper understanding.
Generalized functions and pseudodifferential operators
Authors:   MSU named after M.V. Lomonosov, Korovina Maria , Lomov Igor
Published: September 2024

The purpose of the textbook is to present the theory of generalized functions, its methods and its application to solving problems of mathematical physics in various spaces. The book covers the main spaces of generalized functions, including the space of generalized functions of slow growth and Sobolev spaces. Much attention is paid to methods associated with the use of the Fourier transform in these spaces, including methods of pseudodifferential operators, which are used to study elliptic problems in Sobolev spaces. Examples are given of the application of the theory of generalized functions to solving a number of problems of mathematical physics in spaces of functions of slow growth and Sobolev spaces. The book is intended for students of the Faculty of Computational Mathematics and Cybernetics of Moscow State University named after M.V. Lomonosov. It can be used by students and graduate students of mathematical specialties from other universities.
Analyzing Service Models in Cloud Computing and Networking through Big Data Lens
Authors: Nagaraju Ankathi  , Dr. Ramesh Kumar Thallati
Published: September 2024

Cloud computing provides small and medium-sized businesses with the assurance of significant data application. The MapReduce programming standard is used for Big Data processing. However, the application of the MapReduce standard generally requires online connected storage space and similar processing capabilities. The computing requirements of MapReduce programming are typically beyond the capabilities of small and medium-sized businesses. In this paper, we briefly discussed cloud computing service models and network infrastructure driven by big data.
मेदोवह स्रोतस का आलोचनात्मक अध्ययन
Authors: आचार्य मनीष जी आचार्य मनीष जी , डॉ. अभिषेक . डॉ. अभिषेक , डॉ. जयंत बत्रा डॉ. जयंत बत्रा , डॉ. गितिका चौधरी डॉ. गितिका चौधरी
Published: September 2024

यह एक वैचारिक अध्ययन है सामग्री शास्त्रीय आयुर्वेदिक ग्रंथ , आधुनिक साहित्य और विभिनन्न शोध पत्रों आदि से एकत्र की गई है।