bluuebunny/crossref_metadata_2025_split huggingface dataset:
Possible Factors Influencing the Willingness to Use English in Teaching Japanese as a Foreign Language by Non-Native Speakers
Authors: Luchenko Olha , Doronina Olha , Chervinko Yevhen 
Published: May 2024

Abstract
In recent years, teachers have had students from diverse language and cultural backgrounds in their classrooms due to increasing human migration in many countries. Therefore, multilingual learning and teaching have become a widespread phenomenon. Research on English language teaching and learning in multilingual contexts has gained great importance. However, teaching languages other than English and foreign language teachers’ practices in this specific context have received little attention so far. Teaching the highly contextualised Japanese language poses challenges in multilingual classrooms, and teachers more frequently resort to using English as the medium of instruction. To shed light on Japanese non-native teachers’ practices, the study explored and analysed two hundred and seventy-four teachers’ responses to the questionnaire “Teaching the Japanese language in multilingual classrooms – English medium instruction approach (EMI)”. The research attempts a worldwide study on using EMI in teaching Japanese as a foreign language (JFL). It examines a broad geographic scope of JFL teachers’ practices from fifty-seven predominantly non-Anglophone countries. The present article focuses on investigating various factors affecting JFL teachers’ willingness to use EMI that can be classified into demographic, linguistic, and contextual. The results revealed several factors of significant influence, such as JFL teachers’ work experience, the highest education level attained, educational stage, geographic region, native language group, Japanese language proficiency, and knowledge of other languages (multilingualism). The factors that appeared to be of insufficient influence were age, study of teaching methods/linguodidactics and level of Japanese taught. The factor of JFL teachers’ language proficiency (both English and Japanese) falls into a separate category of influence, where a significant difference was noted for proficient and near-native levels.
The effects of adding a six-month Pilates exercise program to three months of traditional community-based pulmonary rehabilitation in individuals with COPD: A prospective cohort study
Authors: Barbosa Marisela , de Melo Cristina A. , Torres Rui 
Published: May 2024

Introduction Pilates exercise may complement traditional pulmonary rehabilitation in individuals with chronic obstructive pulmonary disease (COPD). The objective was to analyze the effects of adding a six-month Pilates exercise program to a three-month pulmonary rehabilitation for individuals with COPD. Methods Thirty-five participants with COPD (GOLD B) were assigned to the intervention (n=14) or control (n=21) group. Both groups received an initial three months of a pulmonary rehabilitation program. The intervention group further underwent six months of pilates. Participants were evaluated at baseline and at three, six, and nine months. Lung function and strength of respiratory muscles were defined as primary outcomes. Secondary outcomes included cardiac, physical function, and exacerbation episodes. Results There were no consistent statistically significant differences between groups for the lung function outcomes (p<0.05). Maximal inspiratory and expiratory pressure increased significantly at three months in both groups (p<0.05). It was significantly superior in the intervention group at nine months for maximal inspiratory pressure (p=0.005) and six and nine months for maximal expiratory pressure (p=0.027 and p<0.001, respectively). Changes in muscle strength (knee extension and handgrip) were comparable between groups (p>0.05), but exercise-induced fatigue and balance were significantly superior in the intervention group at the six- and nine-month follow-ups (p<0.05). Discussion Pilates exercise programs may be implemented to augment traditional pulmonary rehabilitation with the goal of improving the strength of respiratory muscles. Conclusion Adding a Pilates exercise program to pulmonary rehabilitation resulted in superior strength of respiratory muscles, higher resistance to exercise-induced fatigue, and improved balance.
PENYULUHAN KESEHATAN DAN KEPEDULIAN MEMBUANG SERTA MENDAUR ULANG SAMPAH
Authors: Lestari Sri , Syamiya Estu Niana , Widiarti Aniek , Anzaningtyas Mita 
Published: May 2024

Menjaga lingkungan sekitar dimulai dengan melakukan hal-hal kecil diantanya adalah cara membuang sampah. Kegiatan pengabdian ini bertujuan untuk meningkatkan kesadaran dan kepedulian siswa dalam menjaga kesehatan dan lingkungan sekitar. Mitra dalam kegiatan ini yaitu siswa SMPN 3 Cisauk Desa Suradita Kec Cisauk. Metode pelaksanaan kegiatan pengabdian yaitu penyuluhan dan pelatihan kepada siswa mengenai permasalahan lingkungan akibat timbunan sampah dengan tujuan untuk menumbuhkan kesadaran siswa supaya peduli terhadap lingkungan sekitar. Partisipasi aktif siswa dapat dilakukan dalam budaya membuang dan mendaur ulang sampah anorganik berupa botol plastik bekas minuman sebagi praktek mengolah dan memanfaatkan sampah sebagi media tanaman semi hidroponik yang bernilai ekonomis. Selain itu, penyuluhan dan pelatihan praktek memanfaatkan botol bekas sebagai media tanam tanaman semi hidroponik dilakukan dalam bentuk presentasi dan praktek secara daring. Dengan demikian, kegiatan pengabdian ini dilakukan secara online dan offline. Kegiatan secara online dilakukan untuk memberikan penyuluhan dan kegiatan offline dilakukan untuk praktik secara nyata dalam mendaur ulang botol bekas sebagai media tanaman semi hidroponik. Hasil dari kegiata pengabdian ini menunjukan antusiasme yang baik dan positif dari mitra, dimana terdapat 75% siswa ikut berpartisipasi aktif dalam kegiatan. Dengan demikian, harapan kedepannya, kebiasaan memanfaatkan botol bekas sebagai media taman semi hidroponik dapat diaplikasikan dalam keluarga, sekolah, dan masyarakat sekitar untuk mengurangi masalah sampah serta memperoleh manfaat ekonomis dan tentunya menjaga kesehatan.
Pendampingan Pembuatan Media Pembelajaran Online di Universitas Palangka Raya
Authors: Grestyana Nadya Aghe 
Published: May 2024

Abstrak
Terbatasnya pemahaman beberapa dosen terkait penggunaan teknologi sebagai media pembelajaran yang disebabkan oleh beberapa faktor yaitu usia, kurangnya kompetensi diri dan faktor sarana dan prasarana. Saat ini, media sosial menjadi salah satu media pembelajaran di dunia pendidikan untuk meningkatkan daya tarik mahasiswa dalam proses belajar mengajar. Sejak mengalami masa pandemi Covid-19, instansi Perguruan Tinggi harus dituntut untuk dapat mengoperasikan literasi digital dalam bahan pembelajaran dengan mahasiswa. Aplikasi media onlline yang digunakan adalah aplikasi Zoom Meeting dan Google Meet sebagai media online pembelajaran tatap muka. Jurusan Ilmu Administrasi Negara FISIP UPR perlu menambah pola pembelajaran yang kreatif dan kompeten untuk menciptakan pembelajaran yang menarik. Tenaga pendidik dalam masa sekarang ini dituntut dapat mengakses media sosial sebagai bahan pembelajaran yang dapat membuat anak didiknya merasa nyaman, tidak bosan dalam mengikuti pembelajaran tersebut. Sebagai jurusan yang memegang akreditasi A, jurusan perlu eksistensi, publikasi dan branding yang baik dalam dunia teknologi informasi sehingga tidak kalah saing dengan perguruan tinggi yang lain. Untuk itu, pendampingan pembuatan media pembelajaran online di Jurusan Ilmu Administrasi Negara FISIP Universitas Palangka Raya dinilai dapat menjadi solusi dari isu suatu permasalahan mengenai masih monotonnya media pembelajaran di Jurusan ini oleh peneliti yang sekaligus dosen di Jurusan Ilmu Administrasi Negara FISIP Universitas Palangka Raya. Kegiatan pendampingan ini diikuti oleh lima dosen senior dengan menggunakan metode demonstrasi dan praktek langsung di lapangan (learning by doing). Adapun hasil dari pendampingan kegiatan ini adalah para dosen dapat menerapkan video yang dibuat melalui aplikasi internet lalu dibagikan kepada mahasiswa secara online. Kegiatan yang dilaksanakan selama dua minggu ini (22 Agustus 2022-2 September 2022) bermanfaat tidak hanya bagi dosen tetapi bagi mahasiswa pula. Para dosen yang mengikuti kegiatan ini telah mampu menerapkan media pembelajaran video dalam kelas jarak jauh. Meski demikian, terdapat hambatan yang harus dihadapi yaitu keterbatasan dosen dan waktu yang singkat dalam pendampingan. Media pembelajaran online dari hasil pendampingan ini dinilai dapat menciptakan proses belajar mengajar yang lebih interaktif, kreatif, aktif dan inovatif oleh para dosen yang telah mengikuti pendampingan ini sehingga kegiatan pendampingan ini diharapkan dapat dilakukan secara berkala.

Kata kunci : pendampingan, media pembelajaran online, video
PEMBENAHAN DAN PENGEMBANGAN TANAMAN OBAT KELUARGA (TOGA) DI DESA KAMPUNG PISANG KARANG SARI KECAMATAN NEGLASARI KOTA TANGERANG
Authors: Diana Lia Nur , Nugraha Aprianto Arohim , Asep Akbar , Lestari Widya Ayu , Al Fahmi Faiz Fikri 
Published: May 2024

Produktivitas suatu wilayah sangat dibutuhkan untuk mendongkrak angka kemiskinan dan pemanfaatan sumber daya alam yang melimpah. Desa Suka Tani Kampung Pisang Kelurahan Karang Sari Kecamatan Neglasari Kota Tangerang terkenal dengan salah satu budi daya yang biasa disebut KWT (Kelompok Wanita Tani) yang mana kelompok ini sebagai sebutan para masyarakat khususnya perempuan yang bersama-sama membudidayakan Tanaman TOGA yang sudah lama tidak terurus dan bahkan kotor serta banyak tanaman yang mati. Maka dari itu, Kelompok 6 Kuliah Kerja Kemasyarakatan (KKK) 2023 UNIS Tangerang memiliki ide untuk melakukan pembenahan pengembangan kembali pada tanaman TOGA. Hal tersebut tentunya harus didukung oleh semua lapisan masyarakat dan pemerintah, karena bisa menjadi peluang baru untuk memajukan kesejahteraan masyarakat di Desa Kampung Pisang.

Kata Kunci : Pembenahan, Pengembangan, TOGA.
Research hotspots and emerging trends of mesenchymal stem cells in cardiovascular diseases: a bibliometric-based visual analysis
Authors: Jiang Zhihang , Yu Jiajing , Zhou Houle , Feng Jiaming , Xu Zehui , Wan Melisandre , Zhang Weiwei , He Yuqing , Jia Chengyao , Shao Shuijin , Guo Haidong , Liu Baonian 
Published: May 2024

BackgroundMesenchymal stem cells (MSCs) have important research value and broad application prospects in cardiovascular diseases (CVDs). However, few bibliometric analyses on MSCs in cardiovascular diseases are available. This study aims to provide a thorough review of the cooperation and influence of countries, institutions, authors, and journals in the field of MSCs in cardiovascular diseases, with the provision of discoveries in the latest progress, evolution paths, frontier research hotspots, and future research trends in the regarding field.MethodsThe articles related to MSCs in cardiovascular diseases were retrieved from the Web of Science. The bibliometric study was performed by CiteSpace and VOSviewer, and the knowledge map was generated based on data obtained from retrieved articles.ResultsIn our study, a total of 4,852 publications launched before August 31, 2023 were accessed through the Web of Science Core Collection (WoSCC) database via our searching strategy. Significant fluctuations in global publications were observed in the field of MSCs in CVDs. China emerged as the nation with the largest number of publications, yet a shortage of high-quality articles was noted. The interplay among countries, institutions, journals and authors is visually represented in the enclosed figures. Importantly, current research trends and hotspots are elucidated. Cluster analysis on references has highlighted the considerable interest in exosomes, extracellular vesicles, and microvesicles. Besides, keywords analysis revealed a strong emphasis on myocardial infarction, therapy, and transplantation. Treatment methods-related keywords were prominent, while keywords associated with extracellular vesicles gathered significant attention from the long-term perspective.ConclusionMSCs in CVDs have become a topic of active research interest, showcasing its latent value and potential. By summarizing the latest progress, identifying the research hotspots, and discussing the future trends in the advancement of MSCs in CVDs, we aim to offer valuable insights for considering research prospects.
Particulate matter forecast and prediction in Curitiba using machine learning
Authors: Chaves Marianna Gonçalves Dias , da Silva Adriel Bilharva , Mercuri Emílio Graciliano Ferreira , Noe Steffen Manfred 
Published: May 2024

IntroductionAir quality is directly affected by pollutant emission from vehicles, especially in large cities and metropolitan areas or when there is no compliance check for vehicle emission standards. Particulate Matter (PM) is one of the pollutants emitted from fuel burning in internal combustion engines and remains suspended in the atmosphere, causing respiratory and cardiovascular health problems to the population. In this study, we analyzed the interaction between vehicular emissions, meteorological variables, and particulate matter concentrations in the lower atmosphere, presenting methods for predicting and forecasting PM2.5.MethodsMeteorological and vehicle flow data from the city of Curitiba, Brazil, and particulate matter concentration data from optical sensors installed in the city between 2020 and 2022 were organized in hourly and daily averages. Prediction and forecasting were based on two machine learning models: Random Forest (RF) and Long Short-Term Memory (LSTM) neural network. The baseline model for prediction was chosen as the Multiple Linear Regression (MLR) model, and for forecast, we used the naive estimation as baseline.ResultsRF showed that on hourly and daily prediction scales, the planetary boundary layer height was the most important variable, followed by wind gust and wind velocity in hourly or daily cases, respectively. The highest PM prediction accuracy (99.37%) was found using the RF model on a daily scale. For forecasting, the highest accuracy was 99.71% using the LSTM model for 1-h forecast horizon with 5 h of previous data used as input variables.DiscussionThe RF and LSTM models were able to improve prediction and forecasting compared with MLR and Naive, respectively. The LSTM was trained with data corresponding to the period of the COVID-19 pandemic (2020 and 2021) and was able to forecast the concentration of PM2.5 in 2022, in which the data show that there was greater circulation of vehicles and higher peaks in the concentration of PM2.5. Our results can help the physical understanding of factors influencing pollutant dispersion from vehicle emissions at the lower atmosphere in urban environment. This study supports the formulation of new government policies to mitigate the impact of vehicle emissions in large cities.
A new prognostic model for recurrent pregnancy loss: assessment of thyroid and thromboelastograph parameters
Authors: Mu Fangxiang , Huo Huyan , Wang Chen , Hu Ning , Wang Fang 
Published: May 2024

ObjectiveThis study aimed to identify predictors associated with thyroid function and thromboelastograph (TEG) examination parameters and establish a nomogram for predicting the risk of subsequent pregnancy loss in recurrent pregnancy loss (RPL).MethodsIn this retrospective study, we analyzed the medical records of 575 RPL patients treated at Lanzhou University Second Hospital, China, between September 2020 and December 2022, as a training cohort. We also included 272 RPL patients from Ruian People’s Hospital between January 2020 and July 2022 as external validation cohort. Predictors included pre-pregnancy thyroid function and TEG examination parameters. The study outcome was pregnancy loss before 24 weeks of gestation. Variable selection was performed using least absolute shrinkage and selection operator regression and stepwise regression analyses, and the prediction model was developed using multivariable logistic regression. The study evaluated the model’s performance using the area under the curve (AUC), calibration curve, and decision curve analysis. Additionally, dynamic and static nomograms were constructed to provide a visual representation of the models.ResultsThe predictors used to develop the model were body mass index, previous pregnancy losses, triiodothyronine, free thyroxine, thyroid stimulating hormone, lysis at 30 minutes, and estimated percent lysis which were determined by the multivariable logistic regression with the minimum Akaike information criterion of 605.1. The model demonstrated good discrimination with an AUC of 0.767 (95%CI 0.725-0.808), and the Hosmer-Lemeshow test indicated good fitness of the predicting variables with a P value of 0.491. Identically, external validation confirmed that the model exhibited good performance with an AUC of 0.738. Moreover, the clinical decision curve showed a positive net benefit in the prediction model. Meanwhile, the web version we created was easy to use. The risk stratification indicated that high-risk patients with a risk score &gt;147.9 had a higher chance of pregnancy loss (OR=6.05, 95%CI 4.09-8.97).ConclusionsThis nomogram well-predicted the risk of future pregnancy loss in RPL and can be used by clinicians to identify high-risk patients and provide a reference for pregnancy management of RPL.
Evolution of pore structure during fines migration in sand pack: NMR experimental and numerical investigations
Authors: Haoxuan Tang , Chunsheng Jia , Ziyi Wang , Hao Lu , Zhao Wang , Hongming Tang , Baiyu Zhu 
Published: May 2024

Unconsolidated sand reservoirs containing heavy oil play a significant role in hydrocarbon resources, characterized by high porosity and permeability alongside abundant movable fines. During production, these fines can detach and migrate with the reservoir fluids, causing pore plugging and reduced productivity. Visualizing and quantitatively evaluating the evolution of pore structure caused by fines migration under various influencing factors at the microscale is fundamental for devising effective prevention and mitigation measures. This study employs on-line NMR experiments and CFD-DEM simulations to investigate fines migration processes and their effects on physical properties and pore structure at the pore scale. Results indicate that fines migration initiates the formation of a preferential network of migration pathways. The evolution of pore structure demonstrates zonal characteristics along the flow direction, with fines plugging and residual accumulation primarily occurring in the middle/rear section of the core. As the core’s skeleton porosity decreases, fines plugging intensifies; however, at high injection velocity, new dominant flow channels may emerge, leading to a transition from a single-peak to a double-peak T2 spectrum. Below the critical velocity (0.5–1 mL/min), an increase in flow velocity exacerbates severe fines plugging. Conversely, above the critical velocity, an increase in flow velocity results in a more pronounced enhancement of permeability.
Setting-aside cropland did not reduce greenhouse gas emissions from a drained peat soil in Sweden
Authors: Keck Hannes , Meurer Katharina H. E. , Jordan Sabine , Kätterer Thomas , Hadden David , Grelle Achim 
Published: May 2024

In the process of their formation, northern peatlands were accumulating vast amounts of carbon (C). When drained for agricultural use, a large proportion of that C is oxidized and emitted as carbon dioxide (CO2), turning those peatlands to strong CO2 emitters. As a mitigation option, setting-aside farmland on drained peat is being incentivized by policies, but recent evidence casts doubt on these policies’ efficiency for greenhouse gas (GHG) emission mitigation. To investigate the effects of setting-aside farmland on GHG fluxes from a Swedish peatland, we measured CO2, nitrous oxide (N2O), and methane (CH4) fluxes on two adjacent sites under contrasting management. The cultivated (CL) site was used for cereal production (wheat or barley) and the set-aside (SA) site was under permanent grassland. Carbon dioxide fluxes were measured from 2013 to 2019 using the eddy covariance (EC) method. Additionally, CO2, N2O, and CH4 fluxes were measured during the growing seasons of 2018–2020, using transparent and opaque chambers on vegetated plots and on bare peat. The cumulative CO2 fluxes measured by EC over the measurement period were 0.97 (±0.05) and 2.09 (±0.17) kg m−2 with annual average losses of 0.16 and 0.41 kg CO2 m−2 yr−1 for the CL and SA site, respectively. Thus, the SA site acted as a stronger CO2 source than the CL site. Both sites’ contribution to global warming, calculated on basis of the chamber measurements, was dominated by CO2. The contribution of the SA site was higher than that of the CL site. Nitrous oxide emissions were low at both sites with higher emissions from the CL site for transparent measurements and measurements on bare peat. Whereas, CH4 uptake was highest on the SA grassland. Thus, on the basis of our study, we found no evidence that setting-aside farmland on shallow drained peat soils will reduce GHG emissions or even turn the peatland into a C sink.
Everyday discrimination and satisfaction with nature experiences
Authors: Schinasi Leah H. , Lawrence Jourdyn A. 
Published: May 2024

IntroductionThere is growing interest in creating public green spaces to promote health. Yet, discussions about these efforts often overlook how experiences of chronic discrimination—which may manifest as racism, sexism, or homophobia, and more—could undermine satisfaction with nature experiences.MethodsUsing data from the 2018 wave of the National Opinion Research Center (NORC) General Social Survey (GSS), we quantified associations of frequency of everyday discrimination, operationalized using the Everyday Discrimination Scale (EDS, the primary independent variable), with respondents' perceptions of nature experiences and with their reported time spent in nature. Specifically, we quantified associations with the following three variables: (1) dissatisfaction with day-to-day experiences of nature, (2) not spending as much time as they would like in natural environments, and (3) usually spending at least one day per week in nature. We used survey-weighted robust Poisson models to estimate overall associations, and also stratified analyses by racial/ethnic and gender identity categories.ResultsOf 768 GSS respondents, 14% reported dissatisfaction with nature experiences, 36% reported not spending as much time as they would like in nature, and 33% reported that they did not spend at least one day per week in nature. The median non-standardized EDS, coded such that a higher value indicates greater frequency of discrimination, was 11 (interquartile range: 8, 15). Prevalence of reporting dissatisfaction with day-to-day experiences in nature was 7% higher in association with every one unit increase in EDS score above the median (PR: 1.07, 95% CI: 1.02–1.11). The prevalence of reporting not spending as much time as one would like in nature was 2% higher for every unit increase in higher than median everyday discrimination frequency (PR: 1.02, 95% CI: 1.00–1.05). Higher than median frequency in everyday discrimination was not associated with spending less than one day per week in nature. Race/ethnicity and gender identity did not modify associations.ConclusionGreater frequency of everyday discrimination is associated with less satisfaction with experiences in nature. This relationship could undermine efforts to promote health equity through green interventions.