bluuebunny/crossref_metadata_2025_split huggingface dataset:
Learning Model of Islamic Religious Education and Character During the Pandemic Period at SMP Negeri 8 Purwokerto
Authors: Makhful M 
Published: April 2023

The sudden onset of the Covid-19 pandemic has an impact on all aspects of life. In the aspect of education, it is needed how to do it with existing resources, existing technology, education can continue to run well, be conducive and the learning process can be conveyed properly. So that learning can continue, collaboration is maintained, then all elements are responsible for education. Learning Islamic religious education and character will be successful if there is an appropriate model that can be practiced during the pandemic, so that learning continues and can meet expectations.
This research aims to identify and analyze the learning model of Islamic religious education and manners during the pandemic at SMP Negeri 8 Purwokerto. This research is a qualitative descriptive study with the subject of research being Islamic religious education teachers and character at SMP Negeri 8 Purwokerto. Data collection techniques through observation, interviews and documentation, while data analysis with data reduction, data presentation and drawing conclusions.
The results showed that the learning model of Islamic Religious Education and Morals at SMP Negeri 8 Purwokerto used; a) Contextual Teaching and Learning is a learning strategy that emphasizes the process of full student involvement to find the material being studied and relate it to real-life situations and apply it in life. b) Direct Learning, learning that emphasizes mastery of concepts and or behavior change by prioritizing a deductive approach. c) Project Based Learning, a learning method that uses projects or activities as media.
Evaluation is carried out through 3 types, namely; a) Assessment of observations / journals on student attitudes, carried out continuously through teacher observations. b) Self-assessment, an assessment carried out by asking students to express their strengths and weaknesses in behavior. c) Assessment between friends, carried out by means of students assessing each other's behavior.
OPTIMIZING VIDEO IN ZOOM MEETINGS TO IMPROVE EFL STUDENTS' SPEAKING PERFORMANCE
Authors: Sunjayanto Masykuri Edi 
Published: April 2023

Studies on improving speaking during the pandemic have been reported numerous. However, few did report using shortcut videos. The current study discusses how EFL students benefit from shortcut videos to improve their speaking skills during the pandemic 19. The subjects of this research were second semester-grade-student at Universitas Muhammadiyah Purworejo. The research was an online class and used a mixed method. The qualitative data are obtained by making the media for material; then evaluation uses online apps based on Android. The researchers observed students' activity by watching shortcut videos and answering the online quiz. The videos were shared through Zoom apps to help the learners to develop their speaking skills, especially in grammar, vocabulary, pronunciation, expressions, and fluency. The findings are that the students can learn English better in real situations. They got a suitable strategy for speaking English using shortcut videos without boredom. The students speaking skills were measured; the mean score before the video was 54.17, and the mean score after the video was 70.24. Therefore, there was a significant improvement in speaking skills after using shortcut video with Zoom apps. The study implies that teaching speaking needs creativity by employing digital resources.
ACADEMIC WRITING DIFFICULTIES FOR INDONESIAN STUDENTS IN PURSUING POSTGRADUATE STUDIES ABROAD
Authors: Ningrum Rosidah Wulan , Hamamah Hamamah , Sahiruddin Sahiruddin , Rohmah Zuliati 
Published: April 2023

Academic writing skills have become an essential aspect that Indonesian students must focus on,Â especially for those planning or pursuing their postgraduate studies abroad. The current research investigates the difficulties Indonesian students face who currently pursue or recently completed their postgraduate studies in seven countries with different majors. The subject was seven Indonesian students who studied in India, Australia, the United Kingdom, Ireland, the Netherlands, and Poland. The researcher used the qualitative research method under the phenomenology procedure to collect the data. Two questionnaires in the form of open-ended questions were distributed and fulfilled by all research participants. The findings indicate that Indonesian students who pursued postgraduate study abroad faced difficulties in academic writing practice, for instance, paraphrasing the sentence, assuring coherence, formulating cohesion, and expressing their voice. Besides, some also faced problems choosing appropriate words and relevant topics in their writing. The main factors contributing to the difficulties are less academic writing practice, lack of vocabulary, and unfamiliarity with academic writing structure. Even though the students pursued different majors and countries, they had common difficulties writing academic writing. Moreover, cultural differences also influence studentsâ€™ difficulties.
PENINGKATAN KAPASITAS DAN SDM PENGELOLA POSYANDU MELALUI INOVASI APLIKASI IPOSYANDU
Authors: Didah Didah 
Published: April 2023

Peningkatan kapasitas kader dan SDM pengelola posyandu dalam penggunaan aplikasi iPosyandu sangat di butuhkan untuk meningkatkan pengetahuan dan keterampilan kader tentang penggunaan aplikasi iposyandu. Peran kader sangat penting, dimana kader dan SDM pengelola lainnya harus mampu berperan aktif dalam penggunaan teknologi Kesehatan, karena kader dan SDM pengelola posyandu menjadi salah satu ujung tombak pelayanan kesehatan di ranah promotif dan preventif, yang fungsinya adalah sebagai wadah untuk mendekatkan pelayanan kesehatan dasar. Adapun tujuan dari kegiatan pengabdian kepada masyarakat ini adalah untuk meningkatkan kapasitas dan SDM pengelolaan posyandu melalui inovasi aplikasi iPosyandu sehingga akan meningkatkan pengetahuan dan terampil dalam penggunaan aplikasi iPosyandu pada saat kegiatan posyandu di masing-masing wilayahnya. Sasaran kegiatan ini adalah SDM pengelola posyandu yang berada di Wilayah Dinas Kesehatan Kab. Purwakarta dengan jumlah peserta sebanyak 30 orang. Kegiatan PKM ini menggunakan metode Ceramah Tanya Jawab Interactive secara tatap muka (Offline) di lanjutkan dengan demonstrasi dan praktikum penggunaan aplikasi iposyandu ( Role Play) serta diskusi interactive. Hasil PKM di dapatkan perbedaan signifikan rerata hasil pelatihan antara sebelum (M = 78,5, SD =8,42) dengan sesudah (M=81,7, SD = 5,62) dengan p value 0,033 ( < 0,05). Sehingga terdapat peningkatan perbedaan yang cukup signifikan.
Variations of Signal Strength during Solar Bursts: A Probable Coronal and Surface Effects of the Sun
Authors: Halder Debojyoti , Raha Bipasa 
Published: April 2023

Variations of signal strengths during solar bursts recorded at Kalyani corresponding to two different frequencies, 406.7 MHz and 100 MHz are reported. The amplitude of the signals received at 406.7 MHz is found larger and that the flares analyzed are mostly of M-type. The signal strengths of the coronal effect at such times were very high compared to the surface effect of the Sun. The signal level of surface effect of the Sun at the peak activity varies in amplitude from 0.06 volts to 0.1 volt while those related to solar corona vary in between 7.0 to 7.2 volts. Both the solar wind velocity and proton density are found to increase in the dates of severe bursts and there are sudden disturbances in the arrival direction of solar wind particles. Also the geomagnetic indices are enhanced at the time of solar bursts when the DST index reduces rapidly.
Optimisation analysis of distribution network planning based on the IVIF-AHP method
Authors: Wang Chunyi , Yang Lichao , Zhang Xiaolei , Liang Rong , Li Hao , Wang Yanshuo 
Published: April 2023

Abstract
Distribution network planning is an important task in the process of power grid construction and development. Scientific and rational planning is the key factor for the economic construction and reliable operation of the power grid. Aiming at the difficulty in quantifying the weight of distribution network planning schemes, a comprehensive evaluation method of distribution network planning schemes based on the interval-valued intuitionistic fuzzy analytic hierarchy process method is proposed. First, a comprehensive evaluation index system is established from the four aspects of power supply, namely reliability, economy, power supply quality and safety of the distribution network. Then, a comprehensive evaluation method of electricity reliability optimised by entropy weight method is adopted by analytic hierarchy process, which considers both subjective situation and objective weighting. At the same time, the comprehensive weight of the aggregation of the criterion layer and the scheme layer is calculated. Finally, the link between the aggregation matrix and the index weights of the criterion layer is used to calculate the weights of the scheme layer so that they can be sorted out. The experimental results show that the effectiveness and feasibility of the planning and analysis indicators and evaluation methods of the method proposed in this paper are verified by a numerical example.
Simulation research on music feature recognition based on mobile big data and smart sensors
Authors: An Wen 
Published: April 2023

Abstract
With the increasing importance of music information retrieval, the construction of effective music recognition methods has gradually become one of the research focuses. The vocal map features of the collected music pronunciation signals are extracted. The research in this paper is primarily based on the basic physical characteristics of music notes; once these characteristics are identified, then they are mathematically extracted and analysed (voiceprint feature method), and a recognition model is established. On this basis, the process of adaptive separation and recognition of music signals is completed. Finally, the performance of different recognition types is verified and evaluated through experiments. The results show that the average accuracy rate of the modified algorithm within a certain range reaches 73.6%; additionally, the average accuracy rate is increased by 10.95% compared with the audio recognition based on Internet of Things (IoT) data, and is more accurate than the audio recognition method based on data collection, showing an improvement of 20.75%. This shows that the modified recognition algorithm adopted in the present research has stable and high accuracy for comprehensive music types with different characteristics. Finally, the identification method proposed in this paper shortens the time by 85.71% compared with the identification method of data collection, and shortens the identification time by 83.33% compared with the IoT identification method. This greatly improves the recognition of different musical feature types.
Visual analysis of the trend of mental health changes among Chinese college students in the context of the normalisation of the new crown epidemic
Authors: Zhang Liping 
Published: April 2023

Abstract
Public health events are sudden, public in nature and have serious social hazards. The COVID-19 outbreak coincided with the Lunar New Year, which had a direct or indirect impact on all areas of society. Previous studies related to emergencies have found that a considerable number of college students lacked experience in dealing with emergencies, were not emotionally stable enough, lacked analysis and decision-making ability, were easily suggestible and acted more impulsively. Therefore, in this paper, based on the existing actual information, combined with the awareness and understanding of college students’ mental health, and based on the existing research results, the Hopfield-mental health model is used as a theoretical basis to study the trend of changes in college students’ mental health. The results of the study show that 83.21% of the people are more concerned about the situation of this new crown pneumonia epidemic and they think that the new crown epidemic has seriously affected their living habits; 65.45% thought that this new crown pneumonia epidemic did not have any major impact on their school life. The five sources of psychological stress, including academic, employment, economic, interpersonal relationship and love, were calculated and analysed in the model, which showed that employment stress, academic stress and economic stress were the largest sources of psychological stress among college students in this new pneumonia epidemic, accounting for 89%, 81% and 93%, respectively. They were followed by interpersonal and romantic stress, with 31% and 52%, respectively.
Design and implementation of an integrated management system for discipline construction and postgraduate education in universities
Authors: Wang Chunxia 
Published: April 2023

Abstract
With the progress of computer technology, discipline construction, new management ideas, management modes and management technologies gradually penetrate into all aspects of information construction, which leads to the further improvement of the level of informationisation. To better realise the dual functions of discipline construction and comprehensive management of graduate education, the advantages of the Hopfield Network (HN) algorithm, which is easy to realise and improve information processing efficiency and programme maintenance, are brought into play. This paper conducts an in-depth study on the comprehensive management system of graduate education based on the HN algorithm. The technical feasibility of the integrated postgraduate education management system is 73%. The economic feasibility of the integrated graduate education management system is 68%, with other feasibility variables remaining unchanged. Moreover, the design of the integrated graduate education management system is more reasonable at 71%, which is much higher than the 29% for the traditional system.
Research on human resource management performance evaluation based on BP algorithm
Authors: Lv Rui 
Published: April 2023

Abstract
With economic globalisation and in the face of increasingly fierce market competition, enterprises must establish an evaluation mechanism that can promote the company’s development and motivate employees to improve performance in order to achieve the company’s strategic goals. In view of the characteristics and problems of enterprise performance appraisal, a performance evaluation method based on artificial neural network (ANN) technology is proposed. This study uses BP algorithm to comprehensively evaluate the performance of enterprises and construct an evaluation network. According to the statistics of 75 power companies in the province from 2018 to 2021, the training was carried out in batches, and the 10-fold cross-validation method was used to find the smallest optimisation value of the error term (average overall relative error) of the test set. The training set is set as 70% and the test set as 30%, and the termination condition is used to end the training process when the training error is <0.0001. This proves that the use of BP neural network for performance evaluation can effectively avoid the influence of subjective factors on the evaluation results, so as to establish a more objective comprehensive evaluation system.
Bridging Academic Gaps: How to Assist Underprepared Students whose Academic Background was Highly Suppressed by Covid-19?
Authors: Kheswa Bonginkosi Vincent , Kheswa Khayelihle , Sihlangu Sinenhlanhla Fortunate , Majola Siyabonga , Tsewu Ayabulela 
Published: April 2023

Abstract
The objectives of this study were to investigate the degree to which first-year students are underprepared for university physics due Covid-19 pandemic, and get insight on what could be the intervention strategies with which their conceptual gaps can be bridged by higher education institutions. This was achieved by conducting a qualitative study on a sample of 72 students who are enrolled in extended engineering programmes in a South African university. The collected categorical data was analyzed using descriptive statistics. The results of this study show that more than half of the respondents did not complete the matric physics syllabus and were extremely underprepared for their university physics lectures. In particular, they lack conceptual understanding of Newtonian mechanics. These students welcome the idea of being given lecture videos and/or in-person lectures/workshops, by the university, with which they could revise the matric syllabus before they start attending university physics classes. Moreover, the results reveal that the majority of students appreciate the coupling of the foundation physics and mainstream physics modules. The results further show that it could be more effective to have students simulating half of their physics experiments in a computer before they conduct them in a laboratory.
Refugee Protection in Multi-level Governance Regimes: A Case for Kenya and Indonesia
Authors: Yatani Vincent G. 
Published: April 2023

In Indonesia, The Presidential Regulation No. 125 of 2016 concerning the management of asylum seekers, signed by President Joko Widodo on the last day of 2016, formalizes the role of sub-national units in refugee management, including the provision of appropriate, non-custodial accommodation. While in Kenya, the recently enacted Refugee Act of 2021 alludes to the engagement of the County Governments in Refugee protection. Within the context of the legal framework of these two countries, this article analyses the place of refugees in a multi-layered governance system through a comparative appraisal of local government structures in the selected States. The Article compares forms of decentralization adopted in these two refugee-hosting countries with the primary aim of establishing local government formation responsive to asylum seekers' plight. The research finds a novelty that involving local governments in refugee protection is a crucial step toward the effective and sustainable management of displaced populations. However, for it to be effective, it must be supported by adequate resources, clear guidelines, and a strong institutional capacity.
GROWTH AND PRODUCTION OF TWO JOB’S TEARS CULTIVARS (Coix lacrima jobi-L.) AT VARIOUS DOSES OF NPK COMPOUND FERTILIZER (16:16:16)
Authors: Ramadhan Nugraha 
Published: April 2023

Indonesia has the potential to develop alternative food sources, one of the cereal crops that has the potential and prospects to be developed is job's tears (Coix lacrima-jobi L.). Efforts that can be made to increase job's tears production are variety selection, proper cultivation techniques, and favorable environmental conditions. Fertilization is one of the most important factors that need to be considered in plant cultivation techniques. This research was conducted in Padang city, West Sumatera. The research was factorial in the form of a complete random design. The job’s tears cultivars used in this riset were Pulut and Batu. The purpose of this study was to determine the effect of NPK fertilizer on growth and yields of two job’s tears cultivars. NPK fertilizer dosage treatment in this study consisted of : 0 kg/hectare, 100 kg/hectare, 200 kg/hectare, and 300 kg/hectare. The results showed that there was no interaction between NPK fertilizer and two job’s tears cultivars. Pulut showed the highest mean values on growth variables (plant height, leaf length, and stem diameter), but Batu showed the highest mean values on yield variables (seed weight / plant). While the best dose of NPK fertilizer to increase growth and yield is 300 kg/hectare.
UMA ANÁLISE DOS PRINCIPAIS DIAGNÓSTICOS DE SARS-COV-2 DISPONÍVEIS NO BRASIL: UMA REVISÃO DE LITERATURA
Authors: Da Silva Mayra Deyse Hirt , Ferrari Idalina Cristina , Pires Maria Aparecida dos Santos , Da Silva Éderson Rodrigo Alves , Kakuta Elaine , De Barros Marcio Eduardo , Negrão Fábio Juliano 
Published: April 2023

Introdução: Com a emergência do SARS-CoV-2 foi disponibilizado uma grande quantidade de ferramentas de diagnóstico. Neste contexto, a falta de vacina, de tratamento e o grande número de casos graves e morte, possibilitou a aprovação emergencial de diversos testes, que ainda necessitam de estudos populacionais para seu registro definitivo. Objetivo: Realizar uma revisão de literatura para avaliar as metodologias de diagnóstico disponíveis no Brasil, de acordo com a realidade local de saúde, explorando o momento epidemiológico a complexidade do teste e a finalidade da sua aplicação. Metodologia: Trata-se de um estudo bibliográfico, descritivo do tipo revisão de literatura. Foram utilizadas as seguintes bases de dados científicos para buscas: PUBMED, MEDLINE, LILACS E COCHRANE LIBRARY, através de descritores selecionados na plataforma DECS. Resultados: O cenário de diversos ensaios, baseados em diferentes metodologias, como os testes baseados em RNA viral, em detecção de antígenos virais ou de anticorpos, associados ao conhecimento da história natural do vírus, possibilita uma análise crítica do melhor diagnóstico de acordo com a clínica do paciente, os epidemiológicos, o objetivo do diagnóstico e a acurácia do ensaio. Atualmente, há mudança no padrão imunológico da população e a descrição de tipos e subtipos de SARS-CoV-2 com mudanças gênicas, que podem levar a mudanças na acurácia diagnóstica ou a re-emergência em surtos de doença grave. Conclusão: Ainda é incerto o caminho evolutivo da história natural da Covid-19 e os ensaios diagnósticos estão em diferentes estágios de desenvolvimento, validação e produção e cada tipo de teste tem suas próprias vantagens e desvantagens distintas inerentes a plataforma tecnológica de origem e uma combinação de tipos de testes usados em momentos diferentes pode ser útil para a condução clínica dos pacientes e no controle da pandemia por SARS-CoV-2.
EVALUATIONS OF DIFFERENT MODELS FOR PREDICTING MERCHANTABLE VOLUME OF PINUS BRUTIA TEN. IN DUHOK GOVERNORATE
Authors: Abdulqader Hanaa Naef , Obeyed Mohammed Hadaet 
Published: April 2023

This study was initiated with the main objective of evaluating the prediction power of previously 24 published models in the literature, developed for estimating the merchantable volume of natural stands of Pinus brutia Ten. The estimation was based on measuring the breast diameter (D), tree height (h), and absolute form quotient (F) of 120 pine trees (Pinus brutia Ten.) from 2 natural stands situated to the east of Duhok governorate. Six indicators of Fit test statistics, namely Adjusted coefficient of determination (R2- adj.) standard error of estimate (SEE), mean absolute error (MAE), Durbin-Watson statistic (D-W), p-value, and mean biased error (Bias) were used to test the performance of the applied models. The result from the centroid model was considered a reference method for the evaluation during this study. The results indicated that the square root –y logarithmic-x offered the highest performance followed by the double square root model. The square root –y logarithmic-x (equation 11) attributed more than 90% of the variation in merchantable volume to variations in D, h, and F. Furthermore, the mean absolute error of prediction of this model was 0.0434. According to this study, the mean stem form of Pinus brutia trees is (0.64), which signifies quadratic paraboloid.