bluuebunny/crossref_metadata_2025 huggingface dataset:
Tes Kemampuan Pemecahan Masalah pada Tema Perubahan Iklim: Analisis Rasch Model
Authors: Ridwan Irwan Muhammad , Kaniawati Ida , Suhandi Andi , Ramalis Taufik Ramlan , Rizal Rahmat , Sujarwanto Eko
Published: August 2024

Tujuan penelitian ini untuk menganalisis instrumen soal kemampuan pemecahan masalah pada tema perubahan iklim . Penelitian ini merupakan penelitian kuantitatif. Data diperoleh dengan mengembangkan instrumen tes kemampuan pemecahan masalah tema perubahan iklim sebanyak delapan soal berbentuk esai. Responden berasal dari 54 mahasiswa pendidikan fisika di salah satu kampus di kota Tasikmalaya. Analisis data menggunakan perangkat lunak (software) Winstep versi 4.00. Metode yang digunakan dalam analisis ini yaitu pemodelan Rasch. Hasil analisis dengan pemodelan Rasch menunjukan nilai 0,50 logit untuk person reliability dan 0,98 logit untuk item reliability yang menunjukan bahwa item instrumen yang dibuat termasuk kriteria istimewa. Meskipun ada dua soal S3 dan S7 yang memerlukan perbaikan. Nilai raw variance sebesar 23,4% menunjukan bahwa syarat validitas konstruk data dikotomi terpenuhi, hal ini diperkuat oleh nilai separation 6,61 yang menunjukkan item soal ini mempunyai sebaran respon yang baik dan dapat mengukur kemampuan pemecahan masalah pada tema perubahan iklim sehingga dapat digunakan untuk penelitian
Pengaruh Media Sosial Facebook Terhadap Minat Beli Online Mahasiswa Pendidikan Ekonomi FKIP Universitas Flores Ende
Authors: Banda Yosef Moan , Bupu Herlina
Published: August 2024

This research aims to find out: (1) The influence of Facebook social media in growing students' online buying interest. (2) Student buying interest. This type of research is quantitative. The data collection technique uses (1) observation, ((2) questionnaires and (3) documentation. The data analysis technique is to use statistical data analysis with a simple linear regression formula. The results of this research show that (1) there is a significant influence between the Facebook Social Media variables (X1) regarding interest in buying online among students of the Economic Education Study Program at the University of Flores. The analysis results show that the value of t> t table is 7.198> 2.14479 and the significance level is 0.000 < 0.05.
Pengaruh Tingkat Pengangguran Terhadap Tingkat Kemiskinan di Kabupaten Manggarai Barat
Authors: Hadim Viktoria
Published: August 2024

This research aims to determine the effect of the unemployment rate on the poverty rate in West Manggarai district. The data used in this research is secondary data from BPS in West Manggarai in 2016-2020. Data analysis using regression was then analyzed using SPSS 16.0., R=0.532, meaning that the independent variable unemployment rate was able to explain the value of the dependent variable by 5 3.2%, the remaining 46.8% was influenced by other factors. The R square value is 0.283 or 28.3 percent, while the remaining 71.7 percent is influenced by other variables. The research results show that the unemployment rate has no or no significant effect on the poverty level in West Manggarai district.
Pendampingan Soliditas Kehidupan Berbangsa dan Bernegara dalam Bingkai Meningkatkan Moderasi Beragama di Desa Prigi Gedung Jati
Authors: Maskur Maskur , Maskuri Maskuri , Hidayatulloh M. Arief , Fatkhuronji Moch. , Nabila Nabila , Choliq Arifana Nur , Hakim Abdul
Published: August 2024

Pengabdian kepada masyarakat yang dilakukan oleh Sekolah Tinggi Agama Islam Walisembilan Semarang tentang peningkatan perilaku soliditas berbangsa dan bernegara dalam bingkai moderasi beragama di Desa Prigi kecamatan Kedungjati Kabupaten Grobogan, oleh Sekolah Tinggi Agama Islam Walisembilan Semarang, kemudian dilakukan oleh peneliti dari Sekolah Tinggi Agama Islam Walisembilan Semarang adalah sebuah pendampingan kepada masyarakat terkait moderasi beragama, dimulai dari memahamkan masyarakat, memotivasi masyarakat, dan menggunakan kesempatan komunikasi dalam moderasi beragama. Keragaman dalam keberagamaan di masyarakat perlu ditingkatkan pada soliditas dalam berbangsa dan bernegara dalam bingkai moderasi beragama, karena di desa tersebut terdiri banyak agama di antaranya Islam, Kristen, Hindu Buda,maka perlu digiatkan dalam Soliditas Berbangsa dan Berbangsa dalam bingkai moderasi beragama. Metode pengabdian yang digunakan adalah metode problem solving, diawali dengan observasi, mengidentifikasi masalah, dan mencarikan solusi. Metode penelitian dilakukan dengan pendekatan kualitatif deskriptif, menggunakan metode pengumpulan data dengan teknik wawancara yang mewawancarai kepala desa, peangkat dan masyarakat, observasi pada kegiatan masyarakat, dan studi dokumen yang ada pada kegiatan masyarakat. Dilanjutkan analisis data menggunakan Miles and Huberman, dengan bentuk reduksi data yang mengumpulkan data penting dan valid serta dapat dipertanggung jawabkan, display data yang menampilkan data penelitian yang dilakukan oleh peneliti dari pengabdian masyarakat, verifikasi merupakan menverifikasi data dari hasil penelitian yang dilakukan oleh peneliti yang telah direduksi, pengambilan kesimpulan merupakan pengambilan benang merah pada hasil simpulan pada penelitian. Kemudian diadakan sebuah forum untuk meningkatkan pemahaman kepada masyarakat sekaligus mendidik, memotivasi, memahamkan dan mengkader mahasiswa Sekolah Tinggi Agama Islam Walisembilan Semarang di sebuah Desa Prigi Kecamatan Kedungjati Kabupaten Grobogan Provinsi Jawa Tengah.
Empowering Coastal Women Tourism Business Actors Based on Bank Indonesia's Go Digital Application in Kupang City
Authors: Manafe Mesri Welhelmina Nisriani , Seseli Eka Merdekawati Imelda , Kase Marce Sherly , Fanggidae Herny Constantia , Mbate Maromi Merlin
Published: August 2024

Student-based community service for female coastal culinary entrepreneurs in the tourism sector at Warna Beach, Kupang City is carried out because economically they are the group of business actors most vulnerable to the impact of Covid 19. This service activity aims to provide solutions based on situation analysis through socialization, training, and mentoring. e-financing, e-Payment, e-commerce, Go Digital Bank Indonesia in order to maintain the sustainability of MSMEs and in the long term it is hoped that it can encourage sustainable marine tourism. The method used is Participatory Action Research (PAR). The output target is to increase the knowledge and skills of 16 tourism business partners in using digital applications so that they are able to compete on a local scale. This service activity supports the achievement of main work indicators with a focus on serving the MBKM era on the use of digital technology, sustainability of the green economy, and encouraging the revival of the tourism sector. The achievement of this activity is that 16 partners have been able to carry out digital financial management using the SI APIK application. 16 Partners already have Facebook accounts, WA for business, Grab food, and Open Warung. These accounts have been used to conduct online marketing for each partner. Achieved 50% use of non-cash payments due to problems with several unbanked partners.
Model of Assistance in Managing Halal Certificates for MSMEs as A Form of Maximization of the Ministry of Religion's Sound Governance Function
Authors: Amrizal Dedi , Yusriati Yusriati
Published: August 2024

The implementation of Minister of Religious Affairs Regulation Number 20 of 2021 has required MSMEs (Micro, Small, and Medium Enterprises) in North Sumatra to make products that comply with Islamic law or are halal-certified. This research aims to make the halal assistance process for all MSME actors in North Sumatra take place using an ideal and standard mentoring model so that it does not only rely on work procedures and training experience from BPJPH for LP3H UMSU Halal Center halal companions. The method used in this community service is community-based Research (CBR) using a forum group discussion (FGD) approach in training and mentoring. This method is equipped with a borg and gall approach, which has been refined into five stages. The implementation of FGDs on the application of conceptual models that have produced theoretical models, the stages of applying theoretical models on small and large scales, and finally, product evaluation using the N-Gain test to see whether the resulting product is effective. The results of this study reveal that the mentoring model requires halal assistants to supervise MSME actors when processing halal certificates so that negative verbal excesses can be avoided and successful MSME actors can be monitored for business development and consistency in producing halal products. This research product is effective through the N-Gain test
Utilization of Historical Site Media by Teachers in Building Student Character in Junior and Senior High Schools in the Central Amanuban Sub-District
Authors: Taneo Malkisedek , Madu Aleksius , Utomo Susilo Setyo
Published: August 2024

This community service activity aims to explore the positive impact of using historical site media in an educational context, with a focus on student character development. Training and mentoring are directed at improving teachers' skills in integrating such media into the curriculum, so that students can develop a better understanding of historical values and character. The activity method involves intensive training, mentoring, and evaluation of the impact on the success of the activity with the main target being social studies teachers in junior high schools and senior high schools in Amanuban Central District. The stages of the activity are planning, implementation, evaluation, and reflection. The results obtained show 94.5% of teachers are very satisfied with this training activity and can provide practical guidance for teachers, schools, and related parties to more effectively integrate historical site media as a learning tool that can shape students' positive character
Penghulu's Assistance in Providing Premarital Guidance to Realize a Sakinah Mawaddah Warahmah (Samara) Family at KUA Tanjung Morawa
Authors: Risma Ade , Ritonga Elfi Yanti , Ritonga Elfi Yanti
Published: August 2024

This assistance aims to analyze Penghulu's Islamic Communication Assistance Strategy in Providing Premarital Guidance to Create a Sakinah Mawaddah Warahmah (Samara) Family in Kua Tanjung Morawa. The approach uses PAR (Participatory Action Research). The Islamic communication assistance strategy implemented by the headmen at KUA Tanjung Morawa in providing pre-marital guidance plays a very important role in creating a Sakinah Mawaddah Warahmah (SAMARA) family. The approach used includes a deep understanding of Islamic values, effective communication techniques, as well as empathy and emotional support for prospective bride and groom couples. Through structured guidance and based on Islamic principles, the bride and groom are able to help prospective bride and groom couples understand the importance of commitment, mutual understanding and cooperation in building a harmonious family, so that the goal of achieving a sakinah, mawaddah and warahmah family can be realized more fully  real.
Uslūb al-Kināyah fī al-Qur’ān al-Karīm wa al-Istifādah minhu fī Tanmiyyah al-Qiyām al-Akhlāqiyyah ladai al-Ṭālibāt bi al-Jāmi’ah
Authors: Sapitri Nur , Qosim Muhammad Nanang
Published: August 2024

This research aims to reveal the method of metonymy included in Surat An-Nisa so that the researcher noticed that one of the holy Qur’an’s surah, Surah An-Nisa, is full of the provisions of Sharia law. It organizes the internal and external lives of Muslims, and talks about important matters related to women, the home, and the family, but most of the provisions discuss women’s issues and then explain the husband‘s rights over her husband and vice versa. Also, from the standpoint of rhetoric, this surah is full of the style of metonymy, which should be left out of the politeness of human feelings and moral matters, as most of what this surah explained are the matters of the family and women. The researcher wanted to identify the style of metonymy in Surat An-Nisa and its benefit in developing moral values among female students at the university. The method of completion of this research was on the analytical descriptive approach, the way for the researcher to analyze the method of the metaphor in Surah an-Nisa with the extraction of the hidden meaning of the rhetorical and ethical response to each method and the current research has proved that the method of the metaphor in surah an-Nisa of verse 1 to 107 contained fifty examples of the metaphor. This proved that the meanings of the verses showed the greatness of Allah’s power, the relation with justice, the relation with the characteristics of the ummah, and some words that we can’t mention, the metaphor contained in Surah an-Nisa verses 1 to 107 had its significant effect in the development of moral values ​​among students at the University of Ar-Raayah.
The Effectiveness of the Cooperative Think Pair Share Learning Model in Improving Arabic Writing Skills
Authors: Fatimah Nia Rindah , Murdiono Murdiono , Thoyyibah Anisatu
Published: August 2024

This study aims to determine the effectiveness of the cooperative think pair share learning model to improve writing skills in grades VIII A and VIII B SMP Muhammadiyah 06 Malang. In this study, researchers used a quantitative approach with a quasi-experimental type and a non-equivalent control group design. This study uses the purposive sampling technique. The population is all students at SMP Muhammadiyah 6 Malang, totaling 105 students. The sample consists of 2 classes, namely class VIII A, which is an experimental class that applies the cooperative think pair share learning model. Class VIII B is a control class using lecture methods. The data source is taken from student tests and interview results. Data collection methods use observations, interviews, tests, and documentation. The data analysis techniques used for this study are independent sample t-test and effectiveness test or N-Gain test. The study results obtained a significant difference between the average grades of students before and after the implementation of the think pair share learning model. This can be seen from the average value of the control class of 65.43 while the average value of the experiment class is 76.86 so it can be known that the average value of the experimental class > the control class. The next result uses the N-Gain formula, obtained by 45 with a moderate category. In this case, it can be concluded that the cooperative think pair share learning model is effective in improving writing skills in class VIII A SMP Muhammadiyah 06 Malang.
Al-Idārāh al-Istirātījiyyah fī Ta’līm al-Lugah al-‘Arabiyyah bi al-Ma’had
Authors: Budiman Agus , Wibowo Safrudin
Published: August 2024

This research aims to explain (1) the formulation of strategic management and (2) the implementation of strategic management in teaching Arabic at the Mumtaza Islamic Boarding School. This research is qualitative. In collecting data, researchers used 3 methods, namely the document method, interview method, and observation method. According to Miles and Huberman, the data analysis used is data induction, presentation, inference, and verification. From this research, it was found that the Mumtaza Islamic Boarding School: (1) has specifically formulated its strategy so that its organization operates effectively, productively and efficiently; (2) implements systematic and detailed operational strategies in Arabic Language Teaching, including (a) making the teaching of Arabic and the Koran a single unit in education; (b) cut the number of subjects to 8, (c) allocate more class hours; (d) teach Arabic based on language competency, (e) use activity-based teaching methods.
Taṭbīq Namūżaj al-Ta’līm al-Ta’āwuni litarqiyyah Mahārah al-Qirā’ah li Ṭullāb al-Madrasah al-Mutawassiṭah
Authors: Mukaromah Muhimmatul , Amperawati Revita Intan Nur
Published: August 2024

This study aims to determine the effectiveness of the Cooperative Think Pair Share Model on Reading Ability in Understanding Arabic reading texts in Eighth Grade Students of MTs Ma'arif Balong Ponorogo. The method used in this study is a quantitative approach of the experimental model with a quasi-experimental research type. The sample in this study consisted of 28 students in the experimental class and 26 students in the control class. Data collection in this study used test techniques, observation, and interviewing techniques. The data analysis used is the Independent Sample t-test and N-Gain test. The results showed that (1) There is a difference in reading ability in understanding reading texts between using the think pair share learning model (experimental class) and not using the think pair share learning model (control class) in the Arabic language subject. This is evidenced by using an independent sample t-test, which results in less than 0.05, meaning Ho is rejected and Ha is accepted. (2) there is effectiveness in improving reading ability in understanding Arabic Reading texts, as evidenced by the N-Gain score of 67.9%, which is categorized as quite effective, so it can be concluded that the cooperative learning model think pair share is effectively used for the Eighth Grade students of MTs Ma'arif Balong Ponorogo.
Research Trends on Writing Skill in Arabic Language; A Bibliometric Analysis
Authors: Safrudin Ramadhan , Sanah Siti , Siregar Sri Dewi Priwarti
Published: August 2024

This study examines the trends in research on Arabic writing skills from 2011 to 2024 using a bibliometric approach. Data from 32 Scopus-indexed publications were analyzed to identify citation trends, geographical distribution, journal rankings, and research focuses. Data collection techniques included comprehensive searches in bibliographic databases, and data analysis was conducted using bibliometric methods such as citation analysis and co-authorship network analysis. The results show a significant increase in related publications, highlighting the importance of communicative approaches and international collaboration in enhancing writing skills. Specifically, the highest number of cited publications (NCP) occurred in 2020, with an NCP of 6. The highest number of citations from 2011 to 2024 was recorded in 2020, reaching 28. Additionally, 2020 had the highest number of publications, totaling 7, indicating a significant impact of research during that year. Saudi Arabia is the most significant country in research related to writing skills in Arabic. Furthermore, the study categorizes research focuses into three main clusters: students, e-learning, and supporting technologies for Arabic language learning. These insights provide a valuable framework for educators and researchers, guiding future research directions and developing more effective and inclusive teaching methodologies that cater to diverse learning needs. The study concludes that fostering international collaboration and leveraging advanced technologies are essential for the continued enhancement of Arabic writing skills education, ensuring that learners are well-equipped to meet contemporary challenges and advancing the field in a meaningful way.
ANALISIS FENOMENA MAHASISWA AMBIS PADA INTERNATIONAL VIRTUAL LIBRARY
Authors: Anindita, N  , Mayasari  , Nur Larasati, N  , Chrismanto, R.A.  , Chrismanto Tri Nathalia Palupi
Published: August 2024

Penelitian ini bertujuan untuk mengetahui fenomena mahasiswa ambis pada International Virtual Library. Penelitian ini merupakan penelitian kualitatif dengan menggunakan metode wawancara semi-terstruktur. Penelitian ini melibatkan 4 responden. Responden tersebut berusia diantara 18-23 tahun dan pengguna International Virtual Library dan berasal dari berbagai negara. Yang secara aktif berpartisipasi menggunakan platform Bindr.uk. Penelitian diawali dengan observasi dimana pada tahap observasi ini peneliti berusaha untuk memahami perilaku pengguna International Virtual Library. Kemudian dilanjutkan dengan mencari kemungkinan permasalahan dan menentukan subjek yang tepat untuk dijadikan subjek wawancara. Hasil wawancara menunjukan bahwa responden memiliki motivasi belajar yang tinggi ketika berada di Bindr.uk karena adanya dukungan sosial dari teman – teman di platform Bindr.uk. Hasil penelitian ini menunjukan bahwa adanya hubungan yang signifikan antara mahasiswa ambis dengan motivasi belajar pada International Virtual Library. Hal inilah yang memungkinkan Bindr.uk membantu mahasiswa fokus belajar dimasa pandemi Kata Kunci: Mahasiswa Ambis, Motivasi Belajar, International Virtual Library
PERAN KECERDASAN EMOSIONAL DALAM PEMBELAJARAN JARAK JAUH
Authors: Desmita  , Syafri Doni Putra, S.D
Published: August 2024

Distance learning is very dependent on the interest and seriousness of students to follow and be actively involved in online learning activities. Educators are of course very limited in observing student learning activities through online platforms. Network connection constraints, dependence on electrical resources are very vital obstacles in distance learning, so that it becomes an opening for students not to be actively involved in distance learning. Therefore, the implementation of data distance learning runs well when there is participation and seriousness and interest from students to actively participate. Researchers want to try to find the role of emotional intelligence of students in participating in distance learning. The research method uses literature study, supported by factual data from interviews and observations at school. The results showed that the level of emotional intelligence of students in participating in distance learning is very urgent. Students are expected to be able to divide their time, have awareness of duties and responsibilities, and have high motivation to follow and be active in seeking learning information. In addition, it is also hoped that students can empathize with each other and interact with other students in group study. So thus emotional intelligence in distance learning greatly influences the learning process and learning outcomes, and is evidence of students' readiness to apply distance learning.
Predicting Election Results through Non-Response Substitution in Polls
Authors:   The Korean Data Analysis Society, Kwon MinSoo , Sung JinYong , Choi Seung Bae , Kang Changwan
Published: August 2024

In the results of the election polls, the candidates' approval ratings are not only a major concern of the people, but also an important factor in establishing the election strategy of the party concerned. However, if there is an inaccurate or distorted result of the election poll, it can cause a big problem because of its influence, and the controversy about the poll often arises. There are many cases in which the actual election results are different from the results of the polls, and political parties and research institutes, which are related to the polls, are making efforts to improve the accuracy of the election forecasts. The purpose of this study is to improve the accuracy of election prediction by replacing non-response through machine learning algorithm using the survey data of the 20th Presidential Election, the 2021 Busan Mayor By-election, and the 8th National Simultaneous Local Election (Busan Metropolitan City, Nam-gu, Gimhae Mayor). For this purpose, first, the data excluding the non-response (I do not know/don't know) was separated into train data and the data selected as non-response (I do not know/don't know) was separated into test data. Second, Random Forest, XGBoost, and LightGBM methods were applied, and only the top three questions were used by deriving the importance of questions when predicting candidates through train data. Third, through the model learned based on the train data, the non-response of the test data was replaced with the response of one candidate, and the corresponding data and the train data were combined to calculate the percentage of votes for each candidate. As a result of comparing the actual election results with the percentage of votes for each candidate by replacing the non-response, it was confirmed that the Random Forest method is suitable for the model for improving the accuracy of election prediction through non-response substitution.
Semiparametric Hierarchical Bayes estimate for Poisson Small Area Model with Measurement Error Covariate
Authors:   The Korean Data Analysis Society, Lee Gaeun , Hwang Jinseub
Published: August 2024

In the sample survey, it is impossible to obtain sufficient samples in relatively small areas, which makes it difficult to estimate accurate statistics for small areas. For this reason, various studies on small area estimation are constantly being conducted, and in particular, the Fay-Herriot (1979) model has been expanded to various forms as one of the most widely used small area estimation models. In this study, we developed a semiparametric regression model based on a radial basis function that can consider nonlinear relationships between the resulting variables and covariates, extended from the model considering the measurement error of the covariate in the Poisson distribution proposed by Nam, Hwang(2021). Also, parameter estimation and model fit were performed through hierarchical Bayesian estimation using Gibbs sampling and Metropolis-Hastings algorithm among Markov chain Monte Carlo techniques. Simulations were conducted under various conditions to confirm the suitability of the model developed in this study, and the excellence of the developed model was further verified through empirical analysis using data from the 8th Korean longitudinal study of aging.
The Role of Technical and Vocational Education and Training (TVET) and Rail Transportation in the Socio-Economic Development of Nigeria
Authors: Onatere-Ubrurhe, Joyce Ogheneruona , Ubrurhe Ejiroghene
Published: August 2024

This research delves into the synergies existing between Technical and Vocational Education and Training (TVET) alongside rail transportation within Nigeria and their implications on socio-economic advancement. By conducting an exhaustive literature review, the research delves into how TVET tackles skills deficits, encourages creativity, and supports entrepreneurial activities in the railway industry. Furthermore, it evaluates the role of rail transportation in advancing infrastructure, boosting economic development, enhancing regional connections, and facilitating sustainable urban growth. Barriers such as financial limitations and obsolete infrastructure impede the full exploitation of TVET and rail transportation capacities. The integration of TVET with rail transportation offers prospects for enriching skill acquisition, fostering innovation, and promoting sustainable urban development. Suggestions include allocating resources towards enhancing TVET and rail infrastructure, refining curricula, and establishing collaborations with industry stakeholders. This study underscores the significance of aligning TVET and rail transportation to foster comprehensive growth and innovation in Nigeria.
Edukasi Penggunaan Media Pembelajaran Pendidikan Jasmani Berbasis Augmented Reality
Authors: Tumaloto Ella H , Ilham Al , Bernanda Rizky Oddie , Datau Suriyadi
Published: August 2024

More facilities and infrastructure are needed to improve Physical Education learning in schools. This community service activity aims to overcome this problem at SMAN 1 Dulupi, Boalemo Regency, through education of Penjas learning media based on augmented reality. This activity is designed to provide basic understanding and training in using augmented reality learning media so that the learning process can run effectively despite limited facilities. The methods used in this activity include participatory education and direct assistance. Evaluation is carried out by measuring students' understanding of augmented reality technology and their practical skills. The activity results showed that 96% of participants understood augmented reality technology, and 100% knew how to use augmented reality-based learning media. This activity is expected to encourage the government to develop programs that support integrating technology into learning to facilitate students' understanding.
Correlation of Clinical Assessment of Jaundice with Total Serum Bilirubin in Neonates: Hospital-Based Cross-Sectional Study
Authors: Poudel Roshan , Kumar Yadav Birendra , Darshan Bhattrai Chaitanya , Yadav Priya , Dhungana Animesh , Joshi Bibek , Jha Abhishek , Kant Shashi
Published: August 2024

Introduction: Neonatal jaundice is a common cause of admission in the neonatal period. Early diagnosis and treatment of neonatal jaundice prevent the bilirubin encephalopathy. There are various methods for the estimation of neonatal jaundice. Clinical assessment of neonatal jaundice can aid in the diagnosis of neonatal jaundice in low-resource settings and refer to the higher center for those who require treatment. This study aims to understand the relation between clinical assessment of jaundice and total serum bilirubin in neonates and to know the risk factors of neonatal jaundice.  Methods: The Clinical assessment of jaundice by Kramers scale can be used to assess the level of jaundice and know the progression of jaundice.  Results: This shows a significant positive relation between clinical assessment of jaundice and serum bilirubin level.  Conclusions: The study findings showed that clinical assessment of jaundice was comparable with the serum bilirubin. Clinical assessment of jaundice by Kramer‟ 's scale can be used to assess the level of jaundice and know the progression of jaundice.
Do financial inclusion and bank competition matter for banks’ stability in Asia?
Authors: Song Wanying , Zafar Mian Gohar Rahman , Alvi Muhammad Amir , Wu Qiang , Ahmad Maqsood
Published: August 2024

This study investigates the effect of financial inclusion (FI), considering micro and macro indicators as well as micro- and macro-FI separately, on the stability of Asian banks and examines the moderating effect of bank competition (BC) on this relationship. Using data from 2011 to 2021, this study examines the relationship between FI, BC, and bank stability (BS). The hypotheses were tested using a “two-step system-GMM framework”. The findings were also authenticated using the panel OLS approach. The results indicate that FI (considering micro- and macro-indicators) and micro- and macroFI have significant positive effects on the stability of Asian banks. However, the impact of micro-FI is greater than that of macro-FI on the BS in Asia. Furthermore, the results manifest that BC has a significant positive impact on BS and positively moderates the relationship between micro-FI and BS, whereas it negatively moderates the relationship between macro-FI and BS. The findings of this study have practical implications for regulators, bankers, and policymakers involved in formulating strategies to enhance Asian banks’ stability.
Electrostatic Modeling of Dust Impact Signals Based on the Expanding Plasma Cloud
Authors: Wu Han , Ye Shengyi , Chen Tao , Wang Jian , Wang Guangzhou
Published: August 2024

Signals generated by dust impacting spacecraft can be detected by electric field instruments. These signals have been simulated by numerous models. However, few models can accurately characterize the expansion of the plasma cloud generated by dust impact. The COMSOL model presented in this paper provides a way to understand the expansion properties of ions and electrons. The model can also be used to analyze the various expected waveforms of dust impact signals as a function of different parameters, such as the spacecraft voltage and the ambient plasma temperature. The results show that close to 50% of ions and electrons in the impact plasma cloud are collected by spacecraft at weak spacecraft potentials and that a fraction of the ions is still collected rather than all of them streaming away from the impact location at V
SC > 0 V. The model also confirms that in the expanding plasma cloud, ions are in the form of plumes, while electrons diffuse in an isotropic manner.
Single-pulse Gamma-Ray Bursts Have Prevalent Hard-to-soft Spectral Evolution
Authors: Busby Ian , Lazzati Davide
Published: August 2024

We analyze the spectral evolution of 62 bright Fermi gamma-ray bursts with large enough signal-to-noise to allow for time-resolved spectral analysis. We develop a new algorithm to test for single-pulse morphology that is insensitive to the specific shape of pulses. Instead, it only checks whether or not there are multiple, isolated, or statistical significant peaks in the light curve. In addition, we carry out a citizen science test to assess light-curve morphology and spectral evolution. We find that, no matter the adopted assessment method, bursts characterized by single-peaked prompt emission light curves have a greater tendency to also have a consistently decaying peak energy or hard-to-soft spectral evolution. This contrasts with the behavior of multipeaked bursts, for which the tendency is to have a peak frequency that is not monotonically decreasing. We discuss this finding in the theoretical framework of internal/external shocks and find it to be consistent with at least some single-pulse bursts associated with particularly high-density environments.
Differential Rotation of CoRoT Stars and a Kepler Binary Star from Starspot Transit Mapping
Authors: Valio Adriana , Araújo Alexandre , Menezes Fabian
Published: August 2024

While direct magnetic field measurements are rare for slowly rotating stars, spots observed during planetary transits provide a potential indicator of magnetic activity on stellar surfaces. Moreover, the rotation of the stellar surface can be probed by monitoring the spots’ position with time in subsequent transits. This study investigates the dynamic interplay of rotational shear and stellar rotation rate in six stars of spectral types F to M, all hosting exoplanets observed by the CoRoT space mission, except for one binary star from Kepler. The analysis, facilitated by the ECLIPSE code, unveils the physical properties of stellar spots, including radius, intensity, temperature, and position. The five CoRoT stars exhibit spot characteristics consistent with those observed in solar type stars. The determination of a spot longitude during different transits allows for the inference of the star’s differential rotation profile, revealing a decreasing trend of rotational shear with the mean stellar rotation period, given by

Δ
Ω
∝

P

¯

−
0.9

. This implies that, at least for slow rotators (mean rotation period >5 days), as stars age, their differential rotation decreases. Additionally, the six stars analyzed here seem to fall into two categories, according to their spot flux deficit: those with ΔF
spot > 0.005 and those with ΔF
spot < 0.002.
Sydney Basin in the Triassic—A review of the geology, flora and fauna, and ecosystems. The Hawkesbury Sandstone
Authors: McLean Graham
Published: August 2024

The Australian Museum has a large palaeontological collection of Triassic specimens from the Sydney Basin, including many type specimens. This study reviewed every presently described Sydney Basin Hawkesbury Sandstone plant and animal taxon that has representative specimens held in the Australian Museum. Fifty-two taxa are included from numerous sites. These include three amphibians, twenty-eight fishes, eleven insects, one horseshoe “crab”, one scorpion, three crustaceans, two molluscs and three plants. Basic taxonomic history is noted, together with specimen registration numbers and their position in the collection. Also included are references to relevant specimens held in the Geological Survey of New South Wales and the Natural History Museum, London collections. Images of every taxon are included. To place the collection in context, particularly for educators working with students, brief descriptions of the geology that forms the Hawkesbury Sandstone, and the inferred ecosystems that existed during the Middle Triassic, are included. The results of this study will help to facilitate further researchers by providing important details of the fossil collections held at the Australian Museum.
New species of Laetmonice (Aphroditidae, Annelida) from bathyal and abyssal depths around Australia
Authors: Flaxman Beth , Kupriyanova Elena
Published: August 2024

Research voyages on board RV ‘Investigator’ between 2015 and 2022 sampled benthic communities of Australia’s Eastern and Southern continental margins from the slope down to abyssal depths (463–5000 m) as well as the seamounts off the Indian Ocean Australian Territories (IOT) that include Christmas Island and Cocos (Keeling) Islands. Over 500 specimens of the annelid family Aphroditidae were collected during the voyages. Some of the most common aphroditids collected during these voyages belonged to the large-bodied members of the genus Laetmonice. We used fragments of COI and 16S genes to investigate the diversity of the genus. Phylogenetic studies revealed the presence of at least nine distinct mitochondrial genetic lineages within Laetmonice, four of which have been described here as Laetmonice hutchingsae sp. nov., L. murrayae sp. nov., L. mensahaedorum sp. nov. and L. paxtonae sp. nov. The new taxa are clearly structured by their bathymetric distributions. These results argue against eurybathic distribution within the genus Laetmonice and demonstrate the existence of genetically divergent taxa isolated by bathymetric environmental gradients.
On optimality conditions and duality for multiobjective fractional optimization problem with vanishing constraints
Authors: Wang Haijun , Kang Gege , Zhang Ruifang
Published: August 2024

The aim of this paper is to investigate the optimality conditions for a class of nonsmooth multiobjective fractional optimization problems subject to vanishing constraints. In particular, necessary and sufficient conditions for (weak) Pareto solution are presented in terms of the Clark subdifferential. Furthermore, we construct Wolfe and Mond–Weir-type dual models and derive some duality theorems by using generalized quasiconvexity assumptions. Some examples to show the validity of our conclusions are provided.
Pricing forward-start style exotic options under uncertain stock models with periodic dividends
Authors: Hussain Javed , Shahid Saba , Saeed Tareq
Published: August 2024

In this study, we derived pricing formulas for various forward-start style exotic options based on an uncertain stock models with periodic dividends. Specifically, we present valuations for forward-start, Cliquet/Ratchet, and spread options. In addition, we conducted numerical simulations of these formulas and compared them to pricing formulas for the same options based on a dividend-paying stock model driven by standard Brownian motion.
The counting formula for indecomposable modules over string algebra
Authors: Wen Haicun , Liu Mian-Tao , Liu Yu-Zhe
Published: August 2024

Let $ A = kQ/I $ be a string algebra. We show that, if for any vertex $ v $ of its bound quiver $ (Q, I) $, there exists at most one arrow (resp. at most two arrows) ending with $ v $ and there exist at most two arrows (resp. at most one arrow) starting with $ v $, then the number of indecomposable modules over $ A $ is $ \dim_{k}A+\Sigma $, where $ \Sigma $ is induced by $ rad P(v) $ (resp. $ E(v)/\mathrm{soc} E(v) $) with decomposable socle (resp. top), where $ P(v) $ (resp. $ E(v) $) is the indecomposable projective (resp. injective) module corresponded by the vertex $ v $.
Analysis of ANN Routing Method on Integrated IOT with WSN
Authors: Murugan Lavanya
Published: August 2024

Internet of Things (IoT) in recent times offers a greater amount of flexible design during the deployment of it in the form of network. The interfacing of IoT with a wireless sensor network (WSN) requires an optimal solution to preserve the consumption of energy while the data has been transmitted via nodes. In this paper, we develop machine learning (ML)-assisted routing to route the data packets of IoT sensors from the real-time environment over WSN. In this study, we use three different planes for optimal routing of packets from the source node to the destination node. The source node is the IoT sensors that involve data collection, and the intermediate nodes are the WSN sensor nodes that route the packets. Optimal routing decisions based on the pre-trained data in an artificial neural network (ANN) stabilize the routing of data packets without congestion. The simulation is conducted to test the efficacy of the ANN routing in the integrated network, and the results show that the ANN-based routing achieves higher energy efficiency and throughput than other models.
Substitutor or Assistant: The Double-Edged Sword Effect of Artificial Intelligence Images on OTPs
Authors: Hao Lulu , Zhu Chaoyang , Chen Xiangliu , Yue Gabriel Xiao-Guang
Published: August 2024

Recently, the green concept has become integral to education, leading to the rise of paperless online teaching. With the rapid development of online teaching platforms (OTPs) due to the pandemic, studies on user behavior have gained momentum. However, most studies have focused on students’ online learning attitudes and behaviors, neglecting in-depth analysis of teachers’ behaviors on OTPs. OTPs can either assist or substitute teachers, enhancing efficiency but also causing anxiety. This paper proposes reframing OTPs as assistants to reduce teachers’ resistance. We investigate if the OTP image (assistant vs. substitutor) impacts teachers’ satisfaction in a specific online teaching context, exploring its explanatory mechanisms. A study of 2*2 group experiments revealed that teachers were less threatened by the assistant OTP image and thus more satisfied. Experiment 1 confirmed that the OTP image influenced teachers’ willingness to recommend and satisfaction. Experiment 2 again tested the effect of different images of OTP (facilitator vs. substitute vs. control group) on teacher satisfaction, and the pie verified the mediating role of identity threat in this effect. Experiment 3 verified that self-affirmation as a moderating variable mitigates identity threats due to the alternative image of the OTP. Therefore, in the future promotion of AI products, more emphasis should be placed on assisting users rather than completely replacing traditional human hands, thus weakening the identity threat posed by AI products to users. The findings of this study enrich the study on teachers’ attitudes towards OTPs, dissect the sources of users’ (teachers’) satisfaction with OTPs from the perspective of product/brand (OTP) image, and provide guidance on how OTPs can choose the appropriate image positioning and promotional language.
Can Artificial Intelligence Promote Financial Literacy in Higher Education?
Authors: Chummun Bibi Zaheenah
Published: August 2024

Technology and understanding money-related matters go hand in hand together in the higher education niche. The increase in the knowledge of generative artificial intelligence and its application in the higher education sector have gained much popularity especially for complex financial terminologies. A key study area where AI can enhance the experience of student learning is financial literacy. However, the application of AI is not without its challenges; the limited availability of technology and access to digital skills leave out some from optimising the full benefits of a fledged AI-related financial literacy. Students are often stuck with so much information flooding the search engines to the extent that they ultimately lose directions for a conclusion. Therefore, it is prominent that the learners get exposed to AI and engage swiftly with financial technologies. This study is predicated on the thrust that if the learners are engaged with using AI systems at a higher education level, they will be more inclined to make more calculated financial decisions.
Generative AI and Its Implications for Higher Education Students' Creativity
Authors: Manditereza Blandina , Chamboko-Mpotaringa Mavis
Published: August 2024

This chapter explores Generative AI (artificial intelligence) in higher education regarding students' creativity. By utilising the quantitative content analysis approach, the chapter explored the impact of generative AI in higher education to understand its transformative effects on students' creative thinking processes and its outcomes. Current literature reveals the latest thinking on how AI enables or disrupts students' creativity. Generative AI is a potent tool in higher education which generates original content like text, images, music, and videos based on input data or predefined models. The adoption of generative AI led to the need to understand how these advancements may shape the educational experience to develop essential skills like creativity. Since creativity is crucial in today's digital age, generative AI raises questions about its potential impact on the imagination. The aspect of creativity, which is fundamental in higher education, offers students opportunities to enhance critical-thinking, problem-solving, and innovation; however, a balance is necessary between the utilisation of AI tools and the human element of creativity.
Harnessing Combinatorial Human-Machine Advantages in Multimedia Teaching and Learning in Higher Education
Authors: Hai-Jew Shalin
Published: August 2024

The advent of web-facing artmaking generative AI tools (A-GAI) has enabled new methods for teaching multimedia. This work explores some pedagogical approaches in harnessing combinatorial human-machine advantages in multimedia teaching and learning in higher education. This work begins with a summary of the advent of multimedia education and proposes a basic model for how A-GAI may be harnessed for teaching multimedia to early learners in higher education. This work is informed by academic research, abductive logic, and firsthand teaching,
Revolutionizing Creative Education
Authors: Akbar Khalida , Nyika Farai Donald , Mbonye Vicent
Published: August 2024

The emergence of GenAI tools, such as OpenAI's ChatGPT, Google's Bard, and Meta's Llama, has marked the beginning of a new age in educational approaches, specifically in fostering creativity in higher education. This chapter examines the diverse effects of GenAI on promoting and assessing creativity among students and instructors. This chapter examines the capacity of these technologies to improve creative thinking, problem-solving, and personalised learning experiences. It also considers the ethical, privacy, and bias-related problems that come with using these technologies. This chapter seeks to offer valuable insights on the effective integration of GenAI into higher education curricula, with the goal of fostering the development of innovative thinkers. This was achieved by a review of current literature. The chapter proposes a strategy that harnesses the advantages of AI while reducing its potential drawbacks, therefore creating a future where technology and human ingenuity combine to promote progress and development in academics.
Unleashing Creative Potential
Authors: Knibbe Justin , Peschl Rosalynn , Osiyevskyy Oleksiy
Published: August 2024

This study examines the overlooked role of creativity in business school curricula, despite its recognized importance in fostering innovation and solving global challenges. It critiques traditional educational models for failing to nurture creative thinking and argues for the integration of Generative AI (GAI) systems to enhance creativity in business education. Using an exploratory case study approach, the authors examined the existing literature that supports the business imperative for creativity; then, GAI was posited as a tool to improve divergent and convergent thinking, offering practical applications across various business disciplines. Additionally, ethical considerations surrounding data usage, intellectual property, and privacy were highlighted. The study concludes that responsibly integrating GAI can revolutionize business education, preparing future leaders for an AI-augmented business world while maintaining the necessity for ethical, informed, and transparent use.