bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pemodelan Topik dan Analisis Sentimen pada Teks Ulasan Pengguna Aplikasi Perbankan Seluler di Indonesia
Authors: Moh Hasan Basri  
Published: August 2024

Bank di Indonesia telah meluncurkan perbankan seluler (mobile banking) guna memberikan pengalaman layanan terbaik bagi nasabah. Bank harus meningkatkan efektivitas aplikasi perbankan seluler mereka untuk memberikan peningkatan nilai perbankan seluler. Dalam upaya menemukan ruang untuk perbaikan bagi perbankan, penelitian ini dilakukan untuk mengetahui topik yang dibicarakan dan diharapkan serta mengetahui sentimen ulasan pengguna layanan perbankan seluler di Indonesia berdasarkan ulasan Google Play aplikasi perbankan seluler yang dimiliki oleh BNI, BCA, dan Mandiri. Algoritma klasifikasi sentimen logistic regression, naïve bayes, dan support vector machine digunakan dalam penelitian ini. Setiap algoritma dijalankan dengan pemodelan k-fold cross validation. Pemodelan topik menggunakan LDA (Latent Dirichlet Allocation). Algoritma logisitc regression memiliki akurasi tertinggi yaitu 96.88%. Menggunakan model tersebut dapat diketahui ulasan didominasi sentimen negatif yaitu 62,22% sedangkan sentimen positif sebesar 37,78%. Pemodelan topik sentimen positif memiliki nilai koheren tertinggi 0,649 dengan jumlah 19 topik, sentimen negatif memiliki nilai koheren tertinggi 0,440 dengan jumlah 18 topik.
Identifikasi Infeksi Virus Pada Tubuh Buah Jamur Shiitake (Lentinula edodes) Menggunakan Metode Teknologi Molekuler
Authors: Mustikasari Fauzia 
Published: August 2024

Jamur shiitake atau Lentinula edodes adalah salah satu jamur yang memiliki rasa yang unik dan memiliki nilai medis yang tinggi. Pertumbuhan dan perkembangan tubuh buah shiitake dipengaruhi oleh banyak faktor termasuk faktor fisika, kimia, dan biologi. Faktor biologi berhubungan erat dengan infeksi atau serangan dari organisme lain termasuk serangga, virus, bakteri, cacing, atau siput. Penelitian mengenai infeksi mycovirus (virus yang menyerang fungi) pada jamur konsumsi saat ini masih minim. Untuk itu, dilakukan riset untuk mengetahui kemungkinan infeksi virus pada salah satu jamur konsumsi, yaitu shiitake menggunakan RT-PCR pada 17 sampel shiitake yang memiliki tubuh buah yang abnormal. Metode RT-PCR digunakan untuk mengonfirmasi sampel yang mengandung virus. Hasil pemetaan sekuens menggunakan BLAST menunjukkan tidak ada data yang sesuai dengan data pada NCBI. Hal ini bisa disebabkan karena penggunaan primer yang kurang tepat untuk mendeteksi RNA virus, atau kemungkinan keberadaan virus baru sehingga datanya belum tersimpan di NCBI. Pertumbuhan badan buah shiitake dipengaruhi oleh faktor genetik dan faktor lingkungan. Faktor lingkungan seperti kelembaban dan cahaya matahari juga dapat menjadi pemicu terbentuknya badan buah yang abnormal.

Kata kunci: badan buah abnormal, infeksi virus shiitake, mikovirus, RT-PCR
Evaluasi Daya Hasil Galur Mutan Jagung Manis (Zea mays L. saccharata Sturt) Var. MS-Unsika Hasil Iradiasi Sinar Gamma Generasi M1
Authors: Syafii Muhammad 
Published: August 2024

ABSTRAK

Jagung manis merupakan salah satu komoditas hortikultura yang memiliki sumber karbohidrat tinggi. Kebutuhan komoditas ini setiap tahunnya terus menimgkat. Tetapi, di sisi lain produksinya masih rendah. Oleh karen itu, perlu upaya untuk meningkatkan produksi jagung manis. Salah satu upaya yang dapat dilakukan adalah memanfaatkan teknologi nuklir. Pemanfatatan teknik nuklir pada tanaman jagung antara lain untuk perbaikan sifat genetik varietas melalui mutasi dengan iradiasi sinar gamma. Penelitian bertujuan untuk mendapatkan galur-galur mutan jagung manis yang memiliki karakter daya hasil tinggi dengan metode diiradiasi sinar gamma. Penelitian dilaksanakan di PAIR BATAN dan di lahan milik PT. Pertani pada Mei 2019 sampai September 2019. Metode penelitian yang digunakan adalah metode eksperimen dengan Rancangan Acak Kelompok (RAK) faktorial. Faktor pertama adalah galur jagung manis yang terdiri dari 5 taraf, yaitu G1 (MS-02), G2 (MS-04), G3 (MS-06), G4 (MS-07), G5 (MS-08). Faktor kedua adalah dosis iradiasi sinar gamma yang terdiri dari 4 taraf, yaitu M0 (0 gray), M1 (100 gray), M2 (200 gray), M3 (300 gray), sehingga terdapat 20 perlakuan. Masing-masing perlakuan diulang sebanyak 2 kali. Hasil penelitian menunjukkan bahwa galur jagung manis dengan iradiasi dosis sinar gamma memberikan pengaruh nyata terhadap semua parameter yang diamati. Secara umum, perlakuan G1M1 (galur MS-02 + dosis sinar gamma 100 gray) memberikan pengaruh terbaik pada parameter hasil panen 3,49 kg/plot, bobot tongkol dengan kelobot sebesar 214,25 gram, bobot tongkol tanpa kelobot sebesar 154,70 gram, diameter tongkol tanpa kelobot 4,43 cm, dan panjang tongkol tanpa kelobot 16,88 cm. Sedangkan perlakuan G5M0 (galur MS-08 + dosis sinar gamma tanpa radiasi (0 gray)) memberikan pengeruh terbaik terhadap diameter tongkol dengan kelobot 4,98 cm dan panjang tongkol dengan kelobot 27,73 cm. Dan perlakuan G5M3 (galur MS-08 + dosis sinar gamma 300 gray) memberikan pengaruh terbaik terhadap parameter kandungan gula yaitu 18,500Brix.

Keywords: galur MS-Unsika, jagung manis, iradiasi, uji daya hasil
Konsep Pedagogik dalam Pandangan Imam Al-Zarnuzi
Authors: Choiri Moh. Miftahul 
Published: August 2024

Pedagogical concepts are important in learning. Successful learning can be ensured that there is good communication or interaction between the teacher and students. Humanism learning or what is better known as learning that humanizes students is that it emphasizes a fun learning process. a learning process that can understand the potential and characteristics of students. learning that can develop students' talents and interests. This research will explore the pedagogical concept in Imam Al-Zarnuzi's view in the learning process. The ultimate goal is for learning to be carried out optimally.The research method used is primary and secondary data documentation methods. It is hoped that this research will be useful for all communities, schools and especially researchers themselves.
THE DEVELOPMENT OF AUGMENTED REALITY(AR) LEARNING MEDIA ON SOLAR SYSTEM MATERIAL FOR GRADE VII
Authors: Salsabila Syafa , Wijayadi Andri Wahyu 
Published: August 2024

Augmented Reality-based learning media is an innovation in teaching and learning activities. Augmented Reality has the advantage of combining objects with the real world, creating new quality and experiences for students. The objective of this research was to create Augmented Reality-based learning media on Solar System material and to determine its validity and practicality. This research was a development study using the 4D Thiagarajan model but without conducting the Disseminate stage. The research subjects were media experts, material experts, teachers, and students. Data collection used validation instruments and student responses with a Likert scale of 1-4. The evaluation results from material experts, media experts, and teachers (users) achieved an average validity of 91%, which was categorized as very valid. The results of the small-scale test of the Augmented Reality-based learning media obtained an average of 78%, categorized as fairly practical. The results of the large group trial obtained an average of 88%, categorized as very practical. Therefore, the Augmented Reality learning media on the Solar System material was deemed suitable for use in seventh-grade classrooms.
Revealing the link between gut microbiota and brain tumor risk: a new perspective from Mendelian randomization
Authors: Yang Jianyu , Lu Jietao , Dong Yuhan , Wei Youdong , Christian Michael , Huang Junmeng , Kuang Haiyan , Cao Du 
Published: August 2024

BackgroundRecent studies have shown that gut microbiota may be related to the occurrence of brain tumors, but direct evidence is lacking. This study used the Mendelian randomization study (MR) method to explore the potential causal link between gut microbiota and brain tumors.MethodWe analyzed the genome-wide association data between 211 gut microbiota taxa and brain tumors, using the largest existing gut microbiota Genome-Wide Association Studies meta-analysis data (n=13266) and combining it with brain tumor data in the IEU OpenGWAS database. We use inverse-variance weighted analysis, supplemented by methods such as Mendelian randomization-Egger regression, weighted median estimator, simple mode, and weighted mode, to assess causality. In addition, we also conducted the Mendelian randomization-Egger intercept test, Cochran’s Q test, and Mendelian randomization Steiger directionality test to ensure the accuracy of the analysis. Quality control includes sensitivity analysis, horizontal gene pleiotropy test, heterogeneity test, and MR Steiger directionality test.ResultOur study found that specific gut microbial taxa, such as order Lactobacillales and family Clostridiaceae1, were positively correlated with the occurrence of brain tumors, while genus Defluviitaleaceae UCG011 and genus Flavonifractor were negatively correlated with the occurrence of brain tumors. The Mendelian randomization-Egger intercept test showed that our analysis was not affected by pleiotropy (P&gt;0.05).ConclusionThis study reveals for the first time the potential causal relationship between gut microbiota and brain tumors, providing a new perspective for the prevention and treatment of early brain tumors. These findings may help develop new clinical intervention strategies and point the way for future research.
The use of glucocorticoid in severe fever with thrombocytopenia syndrome: a retrospective cohort study
Authors: Chen Yuzhang , Wang Huan , Zhou Fengqin , Guo Chunxia 
Published: August 2024

IntroductionSevere fever with thrombocytopenia syndrome (SFTS) is prevalent in East Asia. However, the use of glucocorticoids (GCs) in the treatment of SFTS remains controversial.MethodsIn this retrospective cohort study, we collected the data from patients with SFTS at Wuhan Union Hospital to evaluate the effect of GC therapy. Mortality and secondary infections were compared as outcomes. After searching public databases, we also included articles that examined GC use in patients with SFTS for meta-analysis.ResultsPatients treated with GC had higher fatality rates (21.1% vs. 11.9%, respectively; P=0.006) and a longer length of stay (10.6 ± 5.1 vs. 9.5 ± 4.2, respectively; P=0.033). In cohorts adjusted using propensity score matching and inverse probability of treatment weighting, no significant differences in fatality rates and length of stay were observed. A meta-analysis of 4243 SFTS patient revealed that those treated with GCs had significantly higher mortality (OR=3.46, 95% CI =2.12-5.64, P&lt;0.00001) and secondary infection rate (OR=1.97, 95% CI=1.45-2.67, P&lt;0.0001).DiscussionGC should be used cautiously when treating SFTS. No significant differences were identified in terms of mortality and secondary infection rates between patients with SFTS treated with or without GC.
Traditional taboos: informal and invisible protection of remaining patches of forest in Vhembe District in Limpopo, South Africa
Authors: Sinthumule Ndidzulafhi Innocent 
Published: August 2024

IntroductionSince 1990, there has been a global decline in forest areas. Between 2010 and 2020, the greatest annual net loss of forests was on the African continent. Despite South African indigenous forests and trees being protected under the National Forests Act of 1998 (Act No. 84 of 1998), the country has also shown an increased annual net loss of forests. Although the Vhembe District Municipality in South Africa has lost forest owing to human-induced deforestation and other land use activities, sacred forests have not been affected. According to traditional beliefs, exploitation of such indigenous patches of sacred forests is taboo. This study aims to explore the role of taboos in the protection of the remaining patches of sacred forest.MethodsThe study relies on data collected between December 2022 and December 2023. Semi-structured interviews were conducted with key informants (n = 61) and local communities in Tshidzivhe and Duthuni villages (n = 60). Observations were used as a further data collection tool. The interview questions were prepared to assess the role of taboos in the protection and management of sacred forests. Data collected through interviews were analysed using thematic content analysis, while field observations helped to corroborate the results from the interviews. Results and discussionThe study identified two main taboos – one that restricts entry into the sacred forests (i.e. preventing entry into the sacred forests, and harvesting, hunting and hiking in these areas), and another that prohibits noise or activities that disrespect sacred forests. The study found that believers and non-believers alike, for fear of retribution by the spirits, still obey these taboos and their related myths. This has allowed these areas to develop dense stands of closed-canopy evergreen forest that support more diverse flora and fauna than found in surrounding areas. Although sacred forests are not meant for biodiversity conservation, they offer opportunities to be integrated into global conservation targets of “30x30” and “Half-Earth” by 2030. They also offer the opportunity of serving as carbon sinks which is key to climate change mitigation. Recommendations for protecting sacred forests and associated taboos are drawn up based on these results.
Analysis of personal competences in teachers: a systematic review
Authors: Molina-Moreno Pablo , Molero-Jurado María del Mar , Pérez-Fuentes María del Carmen , Gázquez-Linares José Jesús 
Published: August 2024

BackgroundThe relevance of teachers’ emotional and social competencies in education has been highlighted as they enable them to establish effective relationships, manage emotional situations and create positive learning environments. The absence of these competencies can lead to emotional exhaustion and negatively affect the classroom environment, thus stressing the need to strengthen these skills so that teaching professionals can adapt to the changing demands of the educational environment.ObjectiveThe primary aim of this paper is to analyze the existing programs for training socioemotional skills in teachers and evaluate their effectiveness. To achieve this, a systematic review of the literature is conducted, focusing on the empirical research existing to date that promotes and enhances these skills through intervention programs.MethodsA literature search was performed using the electronic databases Psycinfo, Psicodoc, Psychology Database, Pubmed, Science Direct and Dialnet Plus, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Studies were eligible for inclusion in this review if they investigated the effectiveness of interventions and training protocols for enhancing personal competencies of a sample of participants composed of teachers.ResultsActivities aimed at strengthening personal competencies in teachers tend to have a positive impact on areas such as job satisfaction, professional commitment, emotional management, and stress reduction, which has a favorable impact on students. However, the effectiveness of these interventions may vary depending on the design of the study and the individual characteristics of the participants.ConclusionThe importance of training educators in personal and emotional skills is highlighted, due to its feasibility and the benefits it implies for both educators and students. Valuable insights for future practices, emphasizing the need for continuous training, digital technologies, mentoring, and holistic well-being to improve educational quality and job satisfaction for teachers are provided.
Integrating polygenic risk scores in the prediction of gestational diabetes risk in China
Authors: Cheng Jiayi , Meng Chan , Li Junwei , Kong Ziwen , Zhou Aifen 
Published: August 2024

BackgroundPolygenic risk scores (PRS) serve as valuable tools for connecting initial genetic discoveries with clinical applications in disease risk estimation. However, limited studies have explored the association between PRS and gestational diabetes mellitus (GDM), particularly in predicting GDM risk among Chinese populations.AimTo evaluate the relationship between PRS and GDM and explore the predictive capability of PRS for GDM risk in a Chinese population.MethodsA prospective cohort study was conducted, which included 283 GDM and 2,258 non-GDM cases based on demographic information on pregnancies. GDM was diagnosed using the oral glucose tolerance test (OGTT) at 24–28 weeks. The strength of the association between PRS and GDM odds was assessed employing odds ratios (ORs) with 95% confidence intervals (CIs) derived from logistic regression. Receiver operating characteristic curves, net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were employed to evaluate the improvement in prediction achieved by the new model.ResultsWomen who developed GDM exhibited significantly higher PRS compared to control individuals (OR = 2.01, 95% CI = 1.33–3.07). The PRS value remained positively associated with fasting plasma glucose (FPG), 1-hour post-glucose load (1-h OGTT), and 2-hour post-glucose load (2-h OGTT) (all p &lt; 0.05). The incorporation of PRS led to a statistically significant improvement in the area under the curve (0.71, 95% CI: 0.66–0.75, p = 0.024) and improved discrimination and classification (IDI: 0.007, 95% CI: 0.003–0.012, p &lt; 0.001; NRI: 0.258, 95% CI: 0.135–0.382, p &lt; 0.001).ConclusionsThis study highlights the increased odds of GDM associated with higher PRS values and modest improvements in predictive capability for GDM.
Association between metabolic obesity phenotypes and the risk of developing prostate cancer: a propensity score matching study based on Xinjiang
Authors: Wang Jinru , Apizi Aireti , Qiu Hao , Tao Ning , An Hengqing 
Published: August 2024

BackgroundObesity-induced metabolic dysfunction increases the risk of developing tumors, however, the relationship between metabolic obesity phenotypes and prostate cancer (PCa) remains unclear.MethodsThe term metabolic obesity phenotypes was introduced based on metabolic status and BMI categories. Participants were categorized into four groups: metabolically healthy nonobesity (MHNO), metabolically healthy obesity (MHO), metabolically unhealthy nonobesity (MUNO), and metabolically unhealthy obesity (MUO). Propensity score matching was conducted based on age, ethnicity, marriage, etc. Univariate and multivariate conditional logistic regression analyses were used to assess the relationship between metabolic obesity phenotypes, metabolic risk factors, and PCa. Sensitivity analysis was performed to verify the robustness of the results.ResultsAfter propensity score matching among 564 PCa patients and 1418 healthy individuals, 209 were selected for each of the case and control groups. There were no statistically significant differences in the basic characteristics between the two groups. Univariate and multivariate conditional logistic regression suggested that the risk of developing PCa in both MHO and MUO individuals was higher than in MHNO individuals. Specifically, the risk of developing PCa in MHO individuals was 2.166 times higher than in MHNO individuals (OR=2.166, 95%CI: 1.133-4.139), and the risk in MUO individuals was is 2.398 times higher than in MHNO individuals(OR=2.398, 95%CI:1.271-4.523). Individuals with hyperglycemia and elevated triglycerides also had a higher risk of developing PCa (hyperglycemia:OR=1.488, 95%CI: 1.001-2.210; elevated triglycerides: OR=2.292, 95%CI: 1.419-3.702). Those with more than or equal to three metabolic risk factors had an increased risk of PCa (OR=1.990, 95%CI: 1.166-3.396). Sensitivity analysis indicated an increased risk of PCa in MUO individuals compared to MHNO individuals.ConclusionIn this retrospective study, individuals with MHO and MUO had a higher risk of developing PCa.
Landcover-categorized fires respond distinctly to precipitation anomalies in the South-Central United States
Authors: Fernandes Katia , Young Sean G. 
Published: August 2024

Satellite detection of active fires has contributed to advance our understanding of fire ecology, fire and climate dynamics, fire emissions, and how to better manage the use of fires as a tool. In this study, we use active fire data of 12 years (2012–2023) combined with landcover information in the South-Central United States to derive a monthly, open-access dataset of categorized fires. This is done by calculating a fire predominance index used to rank fire-prone landcovers, which are then grouped into four main landscapes: grassland, forest, wildland, and crop fires. County-level aggregated analyses reveal spatial distributions, climatologies, and peak fire months that are particular to each fire type. Using the Standardized Precipitation Index (SPI), it was found that during the climatological fire peak-month, the SPI and fires exhibit an inverse relationship in forests and crops, whereas grassland and wildland fires show less consistent inverse or even direct relationship with the SPI. This varied behavior is discussed in the context of landscapes’ responses to anomalies in precipitation and fire management practices, such as prescribed fires and crop residue burning. In a case study of Osage County (OK), we find that large wildfires, known to be closely related to climate anomalies, occur where forest fires are located in the county and absent in areas of grassland fires. Weaker grassland fire response to precipitation anomalies can be attributed to the use of prescribed burning, which is normally planned under environmental conditions that facilitate control and thus avoided during droughts. Crop fires, on the other hand, are set to efficiently burn residue and are practiced more intensely in drier years than in wetter years, explaining the consistently strong inverse correlation between fires and precipitation anomalies. In our increasingly volatile climate, understanding how fires, vegetation, and precipitation interact has become imperative to prevent hazardous fire conflagrations and to better manage ecosystems.
Insights into preeclampsia: a bioinformatics approach to deciphering genetic and immune contributions
Authors: Zhong Rongrong , Guo Yifen , Huang Jianxing , Yang Yingao , Ren Shuyue , Gu Yan , Lei Ping , Gao Zhixian 
Published: August 2024

BackgroundPreeclampsia (PE) is a global pregnancy concern, characterized by hypertension with an unclear etiology. This study employs Mendelian randomization (MR) and single-cell RNA sequencing (scRNA-seq) to clarify its genetic and molecular roots, offering insights into diagnosis and treatment avenues.MethodsWe integrated PE-specific genome-wide association study (GWAS) data, expression and protein quantitative trait loci (eQTL and pQTL) data, and single-cell data from peripheral blood mononuclear cells (PBMCs). We identified highly variable genes using single-cell information and employed MR to determine potential causality. We also combined pQTL and GWAS data, discerned genes positively associated with PE through scRNA-seq, and leveraged the Enrichr platform to unearth drug-gene interactions.ResultsOur scRNA-seq pinpointed notable cell type distribution variances, especially in T helper cells (Th cells), between PE and control groups. We unveiled 591 highly variable genes and 6 directly PE-associated genes. Although MR revealed correlations with PE risk, pQTL analysis was inconclusive due to data constraints. Using DSigDB, 93 potential therapeutic agents, like Retinoic acid targeting core genes (IFITM3, NINJ1, COTL1, CD69, and YWHAZ), emerged as prospective multi-target treatments.ConclusionUtilizing MR and scRNA-seq, this study underscores significant cellular disparities, particularly in Th cells, and identifies crucial genes related to PE. Despite some limitations, these genes have been revealed in PE’s underlying mechanism. Potential therapeutic agents, such as Retinoic acid, suggest promising treatment pathways.