bluuebunny/crossref_metadata_2025_split huggingface dataset:
Use of the Discovery Learning Model on Description Text reading Skills fo Class VII Students of SMP Negeri 2 Sungguminasa in Gowa District
Authors: Muliana Hanana 
Published: February 2025

This research aims to test the truth about the influence on the application of the Discovery Learning model in learning to read descriptive text in Class VII Students of SMP Negeri 2 Sungguminasa, Gowa Regency.The type of research is experimental research of the True Experiment type . The population in this research was Class VII students of SMP Negeri 2 Sungguminasa, Gowa Regency with a total of 42 people. Because the population studied was less than 100 students, in this study a total sample was used . This means that the entire population was sampled in this study, namely 42 samples. The sample in the study was grouped into two groups, namely 21 students in class VII.A as the control group/class and 21 students in class VII.B as the experimental group/class l. To obtain accurate data in this research, questions were used as research instruments. The data that has been collected is analyzed using descriptive techniques to describe the characteristics of the score distribution from the results of the control class and experimental class and inferential analysis techniques (experiments) using the t test analysis type to test the hypothesis.
The calculation results are significant between the descriptive text reading skills of class VII students who use the Discoveri Learning model and students who do not use the Discoveri Learning model . This significant difference was proven based on the results of the t-test carried out on the posttest scores of the control and experimental groups with SPSS 20.0. The t-test results of the posttest scores for learning to read descriptive text for the control and experimental groups showed that tcount was 76.66 which was greater than ttable which was 51.42 with db 40.

Keywords: Reading descriptive text, Experiment
Principal's Planning in Teacher Performance Development and Learning Improvement at SMP Nurul Hikmah Lombok
Authors: Jannah Miftahul , Muhammad Muhammad 
Published: February 2025

Perencanaan yang efektif oleh kepala sekolah merupakan hal yang penting dalam pembinaan kinerja guru dan peningkatan pembelajaran di Sekolah Menengah Pertama (SMP) Nurul Hikmah, Lombok. Penelitian ini bertujuan untuk mengeksplorasi peran perencanaan kepala sekolah dalam mempengaruhi kinerja guru dan pembelajaran di SMP Nurul Hikmah. Metode penelitian ini menggunakan pendekatan kualitatif, dengan teknik pengumpulan data melalui wawancara, observasi, dan dokumentasi, Responden penelitian meliputi kepala sekolah dan guru. Adapun teknik analisis datanya menggunakan model interaktif. Sehingga hasil penelitian ini menunjukkan bahwa perencanaan yang disusun secara sistematis oleh kepala sekolah memiliki dampak yang signifikan terhadap kinerja guru dan peningkatan pembelajaran di SMP Nurul Hikmah. Perencanaan ini mencakup pengembangan rencana kerja yang jelas dan terukur, pemanfaatan teknologi dalam pembelajaran pemantauan dan evaluasi kinerja guru. Selain itu juga perencanaan yang dilakukan oleh kepala sekolah mempunyai dampak yang sangat signifikan dalam kemajuan lembaga pendidikan seperti kejelasan tujuan pembelajaran dan peningkatan kesiapan mengajar.
Student Management and Strengthening Religious Character through Learning the Yellow Book Study Mak Hamzanwadi Ii Nw Anjani
Authors: Hasani Moh Zaen , Malik Abdul 
Published: February 2025

Penelitian ini bertujuan untuk mengetahui manajemen peserta didik dan penguatan karakter religius melalui pembelajaran kitab kuning yang diterapkan di Madrasah Aliyah Agama (MAK) Hamzanwadi II NW Anjani, yang merupakan bagian dari NahdlatulWathan. Tujuan penelitian adalah untuk mendapatkan pemahaman yang komprehensif tentang penerapan manajemen siswa dan penguatan karakter religius melalui pembelajaran buku kuning di madrasah ini dan mengidentifikasi dampaknya terhadap karakter siswa dan proses pembelajaran. Penelitian ini menggunakan pendekatan kualitatif, teknik pengumpulan data meliputi wawancara, observasi kelas, dan analisis dokumen. Melalui analisis data mendalam, penelitian ini mengidentifikasi beberapa manajemen siswa dan penguatan karakter religius yang diterapkan di MAK Hamzanwadi II NW Anjani. Pengelolaannya meliputi pengelolaan penerapan teknologi dalam pembelajaran, pengelolaan penerapan metode pengajaran interaktif, dan penerapan sumber belajar yang beragam. Hasil penelitian menunjukkan bahwa manajemen dan penguatan karakter siswa melalui pembelajaran kitab kuning yang diterapkan di madrasah ini berdampak positif bagi siswa untuk mengantarkan siswa menjadi manusia yang beriman dan bertakwa, berakhlak mulia, tertib dan disiplin sesuai dengan peraturan yang ada, sopan santun terhadap guru dan orang tua, serta peduli terhadap lingkungannya.
Quartel Live Crisis In Students And Causative Factors
Authors: Tulak Harmelia , Pakiding Alexander , Adelia Adelia 
Published: February 2025

Student's reactions to the adult phase can be diverse. The sheer number of choices that come from the external environment and the complexity of choosing the best one often create pressure. The purpose of this study is to determine the quarter-life crisis (QLC) in final-year students at UKI Toraja and reveal the factors that trigger the emergence of the condition. This research is descriptive and quantitative. The subjects of his research were final year students starting from semester 6 which amounted to 99 people. The results showed that the categorization of Quarter Life Crisis in final year students of UKI Toraja, is as follows: as many as 15 (15.15%) students fall into the high category, 82 (82.83%) students fall into the medium category, and 2 (2.02%) are in the low category. Through the calculation of the average score of each aspect of measurement achievement, the factors causing QLC were identified sequentially from the highest to the lowest aspects, namely aspect 7 (disconnection), aspect 3 (feeling anxious), aspect 1 (anxiety in making decisions), aspect 5 (negative self-assessment), aspect 6 (being stuck in a difficult situation), aspect 4 (depressed), and aspect 2 (worrying in interpersonal relationships).
Effectiveness of STEM Based Differentiated Learning on Students Critical Thinking Skills In Higherd Education
Authors: Judijanto Loso , Hukubun Yohanis , Safar Muh , Sopacua Fryan , Baruno Yosep Heristyo Endro , Nurhayati R , Santosa Tomi Apra , Nasution Baktiar , Yustitia Via , Sukini Sukini , Ilwandri Ilwandri 
Published: February 2025

Penelitian ini bertujuan untuk mengetahui pengaruh pembelajaran differensiasi berbasis STEM untuk meningkatkan keterampilan berpikir kritis mahasiswa pada perguruan tinggi. Jenis penelitian adalah penelitian kuantitatif dengan pendekatan meta-analysis. Sampel penelitian berasal dari 12 jurnal nasional dan internasional terbitan 2022-2024 terindeks SINTA, Web of Science dan Scopus. Kriteria inklusi adalah penelitian harus relevan; penelitian diperoleh dari database Mendeley, ScienceDirect, Google Scholar dan ERIC, Penelitian harus metode eksperimen; penelitian memiliki data yang lengkap untuk menghitung nilai effect size serta ukuran sampel > 25 mahasiswa. Analisis data adalah analisis statistik kuantitatif dengan bantuan sofware JSAP. Hasil penelitian menyimpulkan bahwa pembelajaran differensiasi berbasis STEM memnerikan dampak positif untuk meningkatkan keterampilan berpikir kritis mahasiswa pada perguruan tinggi dengan nilai Hedge’s (d)= 1.07dengan kategori effect size tinggi. Temuan menunjukan bahwa pembelajaran differensiasi efektif untuk diterap pada mahasiswa diperguruan untuk mendorong kemampuan berpikir kritisnya dalam proses pembelajaran.
Management Analysis of Leadership and Entrepreneurship Programs In Character Formation
Authors: Fitriyana Risna 
Published: February 2025

Tujuan penelitian ini adalah untuk mendapatkan data dan dokumen mengenai perencanaan, pelaksanaan, serta penilaian program leadership dan entrepreneurship dalam pembentukkan karakter siswa di Sekolah Alam Al-Fath Jambi. Sedangkan manfaat yang didapat dari penelitian ini adalah pihak Sekolah Alam Al-Fath Jambi mendapatkan bahan masukan dalam memperbaiki program pendidikan leadership dan enterpreneurship bagi siswa. Penelitian ini dilakukan pada bulan Oktober di Sekolah Alam Al-Fath Jambi yang beralamat di Jalan Donorejo No. 8 Kelurahan Pasir Putih, kecamatan Jambi Selatan, Kota Jambi. Metode penelitian yang digunakan dalam penelitian ini adalah penelitian kualitatif. Data dikumpulkan melalui wawancara dan observasi langsung. Dengan hasil penelitian ini di dapatkan bahwa pelaksanaan program Leadership dan Entrepreneurship diintegrasikan dengan metode pembelajaran melalui pengalaman, seperti kegiatan outbond yang menjadi wadah pengembangan karakter melalui pengalaman langsung. Keseluruhan, program ini tidak hanya memberikan keterampilan kepemimpinan dan kewirausahaan, tetapi juga membentuk karakter positif siswa sesuai dengan nilai-nilai akhlakul karimah.
Land use change projection and driving factors exploration in Hainan Island based on the PLUS model
Authors: Liu Jiahui , Hou Yaoqi , Li Fangyi , Zheng Binbin , Chen Zeheng , Zheng Fa , Zhang Xiaohai , Yu Rui 
Published: February 2025

IntroductionLand resources play a vital role in national economic and social development. Hainan Province faces the challenge of balancing land use with conservation while striving to develop a high-quality free trade port. This study aims to analyze land use changes and their driving factors to support sustainable land use policies.MethodsThis study utilised the GlobeLand30 dataset, along with data on temperature, precipitation, the digital elevation model (DEM), slope, soil, gross domestic product (GDP), and population, to apply the Patch-generating Land Use Simulation (PLUS) model. This model was used to analyse land use changes on Hainan Island from 2000 to 2020, to investigate the relationship between land use change and its driving factors.Results(1) During 2000~2020, forests and cultivated land were the predominant land use type, while wetlands and artificial surfaces increased by two times, and bare land remained stable; (2) Temperature significantly influenced cultivated land, forests, and grasslands, while GDP and population growth impacted water bodies and artificial surfaces; (3) The predicted land use map for 2020 achieved high accuracy (Kappa = 0.85); (4) By 2040, forests and cultivated land are expected to remain dominant, with grasslands and artificial surfaces decreasing, while wetlands and bare land are projected to increase.DiscussionThe study highlights the complex interactions between land use and its driving factors in Hainan. The findings provide valuable insights for sustainable land use policy development, balancing economic growth with ecological conservation in the region.
Mast cell - tumor cell interaction related gene and microRNA expression profiles in oral squamous cell carcinoma
Authors: Khromov Tatjana , Sitte Maren , Salinas Gabriela , Schminke Boris , Fischer Andreas , Schliephake Henning , Brockmeyer Phillipp 
Published: February 2025

BackroundMast cells (MCs) play a crucial role in the tumor microenvironment (TME) of oral squamous cell carcinoma (OSCC), significantly impacting patient prognosis. This study aimed to investigate the gene and microRNA (miRNA) expression profiles of MCs and OSCC cells following co-culture, providing valuable insights into the molecular background of their functional interactions.MethodsThe human OSCC cell line PCI-13 and the human MC cell line LUVA were initially cultured separately under identical experimental conditions and subsequently co-cultured for 48-72h. Transcriptome analysis of differentially expressed genes (DEGs) and sequencing of differentially expressed miRNAs were performed and analyzed using bioinformatics tools. Additionally, key genes and miRNAs identified in OSCC were assessed for their prognostic relevance in head and neck tumors using freely available online databases.ResultsThe analyses revealed distinct DEG profiles between OSCC cells and MCs under monoculture and co-culture conditions. Notable findings include DEGs involved in chemokine signaling - particularly the CCL2/CCR2 axis - TGF-β signaling, toll-like receptor (TLR) expression, and key intracellular pathways such as PI3K/Akt, JAK/STAT, Ras/Raf/MAPK, and IP3 in both cell types. Additionally, specific miRNAs, including miR-142, miR-146a, and miR-223 in tumor cells, as well as miR-381 and miR-379 in MCs, exhibited significant differential expression, highlighting their potential involvement in regulating MC-OSCC interaction. Notably, the expression levels of CCR2, along with miR-142, miR-146a, and miR-223, were identified as prognostically relevant in patients suffering from head and neck tumor.ConclusionsThe data highlight the complex and dynamic interplay between MCs and OSCC, driven by key signaling pathways and miRNA regulation. These findings provide a foundation for future functional studies and the possible development of targeted therapies aimed at modulating MC-OSCC interaction within the TME.
Combining clinical characteristics with CT radiomics to predict Ki67 expression level of small renal mass based on artificial intelligence algorithms
Authors: Lin Junyi , Ou Yongyi , Luo Mingli , Jiang Xuxuan , Cen Shengren , Zeng Guohua 
Published: February 2025

BackgroundMost small renal masses (SRMs) grow slowly and have good prognosis, but a portion of SRMs can also demonstrate aggressive characteristics, which can be explored by the proliferation-related marker Ki67.MethodsA total of 241 patients collected from the two centers were included in the study, of which 145 patients from the First Affiliated Hospital of Guangzhou Medical University were divided into training and validation cohort, while 96 patients from Sun Yat-sen Memorial Hospital were served as test cohort. To ensure the class balance of the outcome measures, the training cohort was oversampled, resulting in an increase of 77 cases in the minority class. After variables processing and feature selecting, optimal artificial intelligence-based model was constructed to predict the Ki67 expression level, and the model performance, interpretation and application development was performed.ResultsThe baseline characteristics of enrolled patients were described, and no statistically significant differences were found between two centers and cohorts, both before and after oversampling. The optimal model, regularized random forest, was constructed showing AUROC values of 0.802, 0.878, and 0.668, and balanced accuracy of 0.744, 0.808, and 0.679 in the oversampling training, validation, and test cohort, respectively. Model interpretation was performed, and a web application was built.ConclusionsAn artificial intelligence-based predictive model for non-invasively assessing the Ki67 expression level of SRMs was developed, thus providing valuable reference for clinical decision-making in these patients.
Prognostic significance and immune microenvironment infiltration patterns of hypoxia and endoplasmic reticulum stress-related genes in gastric cancer
Authors: Li Libin , Liang Yizhi , Xu Wenji 
Published: February 2025

BackgroundGastric cancer (GC) is a prevalent malignant neoplasm within the digestive system, accounting for approximately 740,000 deaths globally each year, significantly impacting patients' quality of life and survival rates. The objective of this investigation was to elucidate the expression patterns of Hypoxia and Endoplasmic Reticulum Stress-related Differentially Expressed Genes (HERSRDEGs) in GC and their association with prognostic outcomes of the patients.MethodsUtilizing The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases, GC datasets were retrieved, and standard normalization was performed. Differential expression analysis was conducted using DESeq2, while somatic mutations and copy number variations were examined using maftools and GISTIC2.0. Spearman's correlation assessed the interplay between HERSRDEGs across datasets. Functional enrichment analyses were carried out using clusterProfiler for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways, alongside Gene Set Enrichment Analysis (GSEA). A prognostic risk model was obtained by utilizing univariate Cox regression analysis with a survival R package. We employed RT-qPCR to validate the mRNA expression levels of five model genes that impact the prognostic risk of gastric cancer in human gastric adenocarcinoma tissues.ResultsThe acquired data revealed 19 HERSRDEGs including ANGPT2, CXCL8, and AURKA exhibiting significant variation in expression between GC and controls. In the Cox regression analysis, a total of five genes—ANGPT2, CD36, EGR1, NOX4, TLR2—emerged as statistically significant, correlating strongly with overall survival. A LASSO regression model featuring ANGPT2, CD36, and NOX4 yielded a risk score formula capable of predicting patient outcomes. Furthermore, multivariate Cox regression analysis highlighted RiskScore, age and stage as significant survival predictors. The analysis of immune infiltration revealed notable differences in the populations of immune cells, such as Natural Killer cells and T-helper cells, when comparing high-risk and low-risk groups.ConclusionIn conclusion, this investigation elucidates the involvement of HERSRDEGs in GC progression and their potential as prognostic biomarkers.
Development of a nomogram model for predicting dementia risk in the older adult population of Weifang, Shandong Province, China: based on the biopsychosocial model
Authors: Geng Pengxin , Feng Wenjia , Cai Weiqin , An Hongqing , Ma Anning 
Published: February 2025

BackgroundDementia has emerged as a predominant health challenge. However, there is a notable research gap in the collective screening of dementia risks. Hence, there is a pressing need to formulate a dementia prediction tool tailored to the older adult demographic, enabling the identification of high-risk individuals for dementia.MethodsFrom May to October 2023, a multi-stage sampling method was utilized to survey older adult individuals aged 60 and above in Weifang. This study employed the Brief Community Screening Instrument for Dementia (BCSI-D) for the identification of individuals with dementia. We integrated the biopsychosocial model to construct a comprehensive pool of factors influencing dementia. Employing the least absolute shrinkage and selection operator and multivariate logistic regression analyses, independent influencing factors were identified to construct a nomogram prediction model.ResultsSix hundred and sixty valid questionnaires were included in the final analysis, with a validity rate of 95.23%. We identified 178 cases of dementia using the BCSI-D. Napping, lack of concentration, self-assessed health status, education level, residence, social interaction and medical insurance were independent influencing factors for dementia. The efficiency analysis of the prediction model, constructed using these factors, demonstrated area under the receiver operating characteristic of 0.751 for the training set and 0.794 for the test set. The decision curve analysis threshold probabilities for the training and test sets were 5–60% and 1–60%, respectively. The calibration curves of both datasets exhibited a high degree of fitting with the predicted curve.ConclusionWe developed a dementia risk identification model with noteworthy predictive performance. The proposed model offers theoretical and data support for collective dementia screening.
Indications and Long-Term Outcomes of Using Mycophenolate Mofetil Monotherapy in Substitution for Calcineurin Inhibitors in Liver Transplantation
Authors: Jiménez-Romero Carlos , Justo Alonso Iago , Caso Maestro Oscar , Manrique Municio Alejandro , García-Sesma Álvaro , Calvo Pulido Jorge , Cambra Molero Félix , Loinaz Segurola Carmelo , Martín-Arriscado Cristina , Nutu Anisa , Marcacuzco Quinto Alberto 
Published: February 2025

Switching the use of calcineurin inhibitors (CNIs), as basal immunosuppression in liver transplantation (LT) patients, for that of mycophenolate mofetil monotherapy (MMF-MT) is currently considered a good measure in recipients with chronic kidney disease (CKD) and other CNI-related adverse effects. We analyzed a retrospective cohort series of 324 LT patients who underwent long-term follow-up and were switched from CNI immunosuppression to MMF-MT due to CKD and other CNI-related adverse effects (diabetes, hypertension, infection). The median time on MMF-MT was 78 months. The indication for MMF-MT was CKD alone or associated with CNI-related adverse effects in 215 patients, diabetes in 61, hypertension in 42, and recurrent cholangitis in 6. Twenty-four (7.4%) patients developed non-resistant acute rejection post-MMF-MT, and 48 (14.8%) patients experienced MMF-related adverse effects, with MMF-MT withdrawn in only 8 (2.5%) patients. In the comparison between the pre-MMF-MT period and the last outpatient review, using a repeated measures model and taking each patient as its own comparator, we demonstrated a significant increase in GFR and significant decrease in creatinine and ALT values, remaining the other variables (diabetes, hypertension, and hematological and AST) within similar levels. Five-year survival post-MMF-MT conversion was 75.3%. MMF-MT significantly improved renal function, was well tolerated, and had a low rejection rate.
Categorical Forms of Green's Function; The One-Dimensional Time Response Function: Forced Harmonic Oscillator
Authors: Alkharam Ali 
Published: February 2025

An introductory technique to solve one-dimensional time-dependent boundary value problems using Green's function, aiming at postgraduate students, and science researchers who have no prior experience with the method. The aim here is to have a rather simple look at Green's functions as a solution to boundary value problems in their explicit functional forms, rather than their explicit expressions, and finally to be acquainted with them. Using the method of variations of parameters, one can provide a satisfactory format of Green's functions, which would make it easier to introduce Green's functions and accept their abstract format in more complex problems including higher dimensions.
Particle Diffusion in Toroidal Fusion Systems (Tokamak).
Authors: Alhasi Awad S. 
Published: February 2025

The plasma transports in two different geometrical configurations are studied, wherein in a system having a cylindrically symmetric shape, the diffusion process is termed classical transport. The use of toroidal configuration leads to an enhanced level of transport known as neoclassical. The plasma collisionality produces different forms of diffusion. The fluid-like diffusion occurring in highly collisional plasma is known as Pfirsch-Schlutre diffusion. In low collisionality plasma, the trapped particle leads to the so-called banana diffusion. The ion thermal diffusivity exceeds the electron thermal diffusivity by a factor , which is a landmark of this collisional diffusion process. In this paper, the classical diffusion coefficient with random walk step is covered, and the neoclassical transport and the trapped particle diffusion are studied.