bluuebunny/crossref_metadata_2025_split huggingface dataset:
APAKAH MANAJER MEMPERHATIKAN PASAR? PERUBAHAN DIVIDEN DAN INFORMASI HARGA SAHAM DI INDONESIA
Authors: Sari Laynita , Yusra Irdha , Rahmizal Maizul 
Published: October 2022

ABSTRAKBeberapa informasi mengungkapkan bahwa ternyata penyebab dari perubahan dividen dipengaruhi oleh harga saham. Keyakinan umum dalam banyak literatur keuangan adalah bahwa orang dalam memiliki informasi perusahaan yang lebih lengkap daripada orang luar. Ketika berbicara tentang kebijakan dividen, pada dasarnya kita mengabaikan peran informasi private yang disampaikan oleh harga saham, padahal dapat berperan sebagai penentu dividen tunai. Tujuan utama dalam penelitian ini adalah untuk menyelidiki peran informasi harga saham dalam mempengaruhi perubahan dividen pada perusahaan yang terdaftar di Bursa Efek Indonesia. Alat analisis yang digunakan untuk menguji pengaruh antar variabel panelitian adalah analisis regresi data panel. Penelitian ini menemukan bahwa likuiditas tidak memberikan bukti secara empiris adanya pengaruh informasi harga saham terhadap perubahan dividen perusahaan yang terdaftar di Bursa Efek Indonesia tahun 2016-2020. Temuan empiris lainnya adalah informasi privat tidak memoderasi pengaruh harga saham terhadap perubahan dividen. Dalam hal ini, informasi private tidak memiliki kontribusi pada pengaruh harga saham terhadap perubahan dividen.Kata Kunci: Dividen, harga saham, informasi privat ABSTRACTSome information reveals that the cause of dividend changes is influenced by stock prices. A common belief in much of the financial literature is that insiders have more complete company information than outsiders. When talking about dividend policy, we basically ignore the role of private information conveyed by stock prices, even though it can play a role as a determinant of cash dividends. The main objective of this study is to investigate the role of stock price information in influencing dividend changes in companies listed on the Indonesia Stock Exchange. The analytical tool used to test the effect between the research variables in panel data regression analysis. This study finds that liquidity does not provide empirical evidence of the effect of stock price information on changes in dividends of companies listed on the Indonesia Stock Exchange in 2016-2020. Another empirical finding is that private information does not moderate the effect of stock prices on dividend changes. In this case, private information has no contribution to the effect of stock prices on dividend changes.Keywords: Stock Price, Private Information, Dividend Change
ANALISA LAPORAN KEUANGAN BERDASARKAN SAK-ETAP PADA PONDOK PESANTREN YATIM DHUAFA Al-IKHLAS SINGOSARI- MALANG
Authors: Andarsari Pipit Rosita 
Published: October 2022

ABSTRAKPondok Pesantren memiliki peran yang penting dalam perkembangan keberagamaan di Indonesia. Adapun tujuan untuk mengetahui sistem pengelolaan keuangan yang dijalankan oleh Pondok Pesantren Yatim Dhuafa Singosari Malang dan untuk mengetahui bagaimana kesiapan Pondok Pesantren untuk mengaplikasikan akuntansi pesantren terhadap sistem pengelolaan keuangan pesantren guna terciptanya pengelolaan yang akuntabel dan transparan. Penelitian ini merupakan penelitian kualitatif dengan pendekatan interpretif. Teknik pengumpulan data menggunakan teknik observasi, wawancara, dan dokumentasi. Adapun teknik analisis data menggunakan reduksi data, penyajian data, dan penarikan kesimpulan serta verifikasi, sedangkan pengujian keabsahan data menggunakan triangulasi data. Hasil penelitian menunjukkan pertama Pengelola pesantren yang belum memahami bahkan mengetahui adanya standar yang mengatur keuangan pesantren yang disebabkan belum adanya sentuhan langsung dari pemerintah perihal pelatihan dan pendampingan penyusunan laporan keuangan. Kedua Belum adanya SDM yang mampu mencatat keuangan berdasarkan SAK pesantren. Ketiga Sarana dan prasarana yang dimiliki pesantren masih sangatlah minim, seperti komputer dan alat tekhnologi lainnya. Hal tersebut disebabkan oleh rendahnya Sumber Daya Manusia (SDM) yang ada dalam mengimplementasikan pedoman akuntansi pesantren.Kata Kunci : Akuntansi, Laporan Keuangan, Pondok Pesantren ABSTRACTIslamic boarding schools have an important role in the development of Indonesian religiosity. As for the purpose determine the financial management system which is used by al-Karimiyyah islamic boarding school Yatim Dhuafa Al-Ikhlas Singosari Malang, and in order to know how the Islamic boarding school's preparing to apply Islamic boarding school accounting its financial management system which is done for create accountable and transparent management.This research is a qualitative research with an interpreative approach. The data collection techniques used observation, interview, and documentation technique. As for the data analysis technique used reduction data, presentation data, making conclussion and verivication, while the testing of data validity used triangulation data. The results showed that the first, Islamic boarding school managers who do not understand even know of the standards governing islamic boarding schools due to the lack of direct contact from the governmet regarding training and mentoring the preparation of financial reports. The second, is the absence of human resources capable of financial records based on islamic boarding school pesantren. The three, facilities and infrastructure owned by boarding schools are still very minimal, such as computers and other technology.Kata Kunci : Accounting, Financial statement, Islamic Boarding School
ANALISIS PENGARUH MINAT NASABAH DALAM MENGGUNAKAN MOBILE BANKING DENGAN MENGGUNAKAN KERANGKA TECHNOLOGY ACCEPTANCE MODEL (TAM)
Authors: Kota Teresia Perpetua , Kusumastuti Sri Yani 
Published: October 2022

Penelitian ini bertujuan untuk mengetahui pengaruh Risiko dan kualitas layanan terhadap minat nasabah dalam menggunakan layanan mobile banking dengan Technology Acceptance Model (TAM). Metode yang digunakan dalam penelitian ini adalah metode kuantitatif dengan pengumpulan data melalui kuesioner yang disebarkan kepada responden di seluruh Indonesia yang menggunakan layanan mobile banking. Sampel yang diambil sebanyak 285 responden dengan teknik accidental sampling. Data yang diperoleh kemudian diolah dengan menggunakan alat bantu amos.24 dan menggunakan program IBM SPSS 25. Berdasarkan hasil uji hipotesis menunjukkan bahwa persepsi manfaat dan persepsi kemudahan berpengaruh positif terhadap minat nasabah dalam menggunakan mobile banking. Risiko berpengaruh negatif terhadap minat nasabah dalam menggunakan layanan mobile banking. Kualitas layanan tidak berpengaruh terhadap minat nasabah dalam menggunakan layanan mobile banking. Kata-kata kunci: Persepsi manfaat, persepsi kemudahan, risiko, kualitas layanan dan minat nasabah
PENERAPAN APLIKASI ATLAS, KOMPETENSI DAN INDEPENDENSI AUDITOR SERTA KUALITAS AUDIT KANTOR AKUNTAN PUBLIK DI SEMARANG
Authors: Setiawan Ilham , Alfie Atieq Amjadallah , Astuti Wulan Budi 
Published: October 2022

Penelitian ini bertujuan untuk menguji apakah penerapan aplikasi ATLAS, Kompetensi dan Independensi Auditor berpengaruh terhadap kualitas audit. Penelitian ini dilakukan pada Kantor Akuntan Publik yang tersebar di Kota Semarang. Metode analisis data yang digunakan adalah metode analisis linear berganda. Hasil penelitian menunjukan bahwa penerapan aplikasi ATLAS tidak berpengaruh terhadap kualitas audi sedangkan kompetensi dan independensi auditor berpengaruh positif terhadap kualitas audit pada KAP di Kota Semarang. Kata Kunci: ATLAS, Independensi auditor, Kualitas Auditor, Kompetensi auditor, TABK
Aplicación de cuentos interactivos para mejorar la comprensión lectora de niños con TDAH
Authors: Vaca Reinoso Luis Fernando , Stefos Efstathios , Mena Clerque Sandra Elizabeth 
Published: October 2022

La utilización de aplicaciones digitales para crear instrumentos interactivos que ayuden a mejorar la educación de niños con TADH en la actualidad ha tomado fuerza en las actividades que realizan los docentes en sus clases, sin embargo todavía una parte de los docentes opta por una educación tradicional que no da buenos resultados en niños con necesidades especiales, por tal razón esta investigación analiza la aplicación de cuentos interactivos que permitan mejorar la comprensión lectora en niños con TDAH, para ello se utilizó una metodología de investigación no experimental con un enfoque deductivo ya que se pretende demostrar que la utilización de cuentos didácticos mejorara la comprensión lectora en dichos niños, utilizando un cuestionario elaborado con la escala de Likert mediante el cual se obtuvo los datos necesarios para poder determinar una propuesta, en este caso la información que se tabulo mediante tablas de frecuencia se obtuvo que el 65% de las personas encuestadas frecuentemente utilizan cuentos interactivos para desarrollar la lectoescritura y el 75% afirman que la utilización de cuentos interactivos en el proceso de enseñanza de los niños con TDAH mejora su comprensión lectora lo que confirma nuestro objetivo de investigación. La propuesta que planteamos es que en el centro CEPALH se tome en cuenta dentro de su metodología habitual la aplicación de los cuentos interactivos para alcanzar mejores estándares de comprensión lectora, capacitando a sus docentes en la correcta utilización de esta herramienta.
Prediksi Harga Saham Twitter Dengan Long Short-Term Memory Recurrent Neural Network
Authors: Akil Ibnu , Chaidir Indra 
Published: October 2022

Abstract— Today the trading business has become a trend to get money easily without having to work hard as long as you have capital. To get maximum results and avoid losses, it is necessary to have expertise in predicting the ups and downs of the stock market value. The purpose of this research is to utilize machine learning technology to predict the fluctuation of stock value by using the Long Short-Term Memory RNN model. From the results of this study, it was found that LSTM+RNN is suitable for use in single-step models.
Keywords: stock price, machine learning, recurrent neural network, lstm
Abstrak—Dewasa ini bisnis trading menjadi suatu trend untuk mendapatkan uang dengan mudah tanpa harus bekerja keras asalkan memiliki modal. Untuk mendapatkah hasil yang maksimal dan menghindari kerugian maka diperlukan keahlian di dalam memprediksi naik turunya nilai bursa saham. Tujuan dari penelitian ini adalah memanfaatkan teknologi machine learning untuk memprediksi naik turunya nilai saham dengan menggunakan model Long Short-Term Memory RNN. Dari hasil penelitian ini didapatkan bahwa LSTM+RNN cocok untuk digunakan pada model single-step.
Kata kunci: harga saham, machine learning, recurrent neural network, lstm
Bibliometric analysis of artificial intelligence for biotechnology and applied microbiology: Exploring research hotspots and frontiers
Authors: Xu Dongyu , Liu Bing , Wang Jian , Zhang Zhichang 
Published: October 2022

Background: In the biotechnology and applied microbiology sectors, artificial intelligence (AI) has been extensively used in disease diagnostics, drug research and development, functional genomics, biomarker recognition, and medical imaging diagnostics. In our study, from 2000 to 2021, science publications focusing on AI in biotechnology were reviewed, and quantitative, qualitative, and modeling analyses were performed.Methods: On 6 May 2022, the Web of Science Core Collection (WoSCC) was screened for AI applications in biotechnology and applied microbiology; 3,529 studies were identified between 2000 and 2022, and analyzed. The following information was collected: publication, country or region, references, knowledgebase, institution, keywords, journal name, and research hotspots, and examined using VOSviewer and CiteSpace V bibliometric platforms.Results: We showed that 128 countries published articles related to AI in biotechnology and applied microbiology; the United States had the most publications. In addition, 584 global institutions contributed to publications, with the Chinese Academy of Science publishing the most. Reference clusters from studies were categorized into ten headings: deep learning, prediction, support vector machines (SVM), object detection, feature representation, synthetic biology, amyloid, human microRNA precursors, systems biology, and single cell RNA-Sequencing. Research frontier keywords were represented by microRNA (2012–2020) and protein-protein interactions (PPIs) (2012–2020).Conclusion: We systematically, objectively, and comprehensively analyzed AI-related biotechnology and applied microbiology literature, and additionally, identified current hot spots and future trends in this area. Our review provides researchers with a comprehensive overview of the dynamic evolution of AI in biotechnology and applied microbiology and identifies future key research areas.
Unveiling a family of spiro-β-lactams with anti-HIV and antiplasmodial activity via phosphine-catalyzed [3+2] annulation of 6-alkylidene-penicillanates and allenoates
Authors: Alves Américo J. S. , Alves Nuno G. , Bártolo Inês , Fontinha Diana , Caetano Soraia , Prudêncio Miguel , Taveira Nuno , Pinho e Melo Teresa M. V. D. 
Published: October 2022

The molecular architecture of spirocyclic compounds has been widely explored within the medicinal chemistry field to obtain new compounds with singular three-dimensional pharmacophoric features and improved bioactivity. Herein, the synthesis of 68 new spirocyclopentene-β-lactams is described, resulting from a rational drug design and structural modulation of a highly promising lead compound BSS-730A, previously identified as having dual antimicrobial activity associated with a novel mechanism of action. Among this diverse library of new compounds, 22 were identified as active against HIV-1, with eight displaying an IC50 lower than 50 nM. These eight compounds also showed nanomolar activity against HIV-2, and six of them displayed micromolar antiplasmodial activity against both the hepatic and the blood stages of infection by malaria parasites, in agreement with the lead molecule’s bioactivity profile. The spirocyclopentene-β-lactams screened also showed low cytotoxicity against TZM-bl and Huh7 human cell lines. Overall, a family of new spirocyclopentene penicillanates with potent activity against HIV and/or Plasmodium was identified. The present structure–activity relationship open avenues for further development of spirocyclopentene-β-lactams as multivalent, highly active broad spectrum antimicrobial agents.
Upregulation of hypothalamic POMC neurons after biliary diversion in GK rats
Authors: Zhou Shengnan , Chen Weijie , Bai Xuesong , Chen Jiemin , Xu Qiang , Dong Liangbo , Chen Wei , Qu Qiang , He Xiaodong 
Published: October 2022

BackgroundBile acids are important signaling molecules that might activate hypothalamic neurons. This study aimed to investigate possible changes in hypothalamic pro-opiomelanocortin (POMC) neurons after biliary diversion in diabetic rats.MethodsTen GK rats were randomly divided into the biliary diversion (BD) and sham groups. The glucose metabolism, hypothalamic POMC expression, serum bile acid profiles, and ileal bile acid-specific receptors of the two groups were analyzed.ResultsBiliary diversion improved blood glucose (P = 0.001) and glucose tolerance (P = 0.001). RNA-Seq of the hypothalamus showed significantly upregulated expression of the POMC gene (log2-fold change = 4.1, P &lt; 0.001), which also showed increased expression at the protein (P = 0.030) and mRNA (P = 0.004) levels. The POMC-derived neuropeptide α-melanocyte stimulating hormone (α-MSH) was also increased in the hypothalamus (2.21 ± 0.11 ng/g, P = 0.006). In addition, increased taurocholic acid (TCA) (108.05 ± 20.62 ng/mL, P = 0.003) and taurodeoxycholic acid (TDCA) (45.58 ± 2.74 ng/mL, P &lt; 0.001) were found in the BD group and induced the enhanced secretion of fibroblast growth factor-15 (FGF15, 74.28 ± 3.44 pg/ml, P = 0.001) by activating farnesoid X receptor (FXR) that was over-expressed in the ileum.ConclusionsHypothalamic POMC neurons were upregulated after BD, and the increased TCA, TDCA, and the downstream gut-derived hormone FGF15 might activate POMC neurons.
Gene set-based identification of two immune subtypes of diffuse large B cell lymphoma for guiding immune checkpoint blocking therapy
Authors: Li Zhe , Duan Ying , Ke Qing , Wang Mingyue , Cen Hong , Zhu Xiaodong 
Published: October 2022

Background: Diffuse large B cell lymphoma (DLBCL) is the most common lymphoma in adults. Tumour microenvironment is closely related to tumour prognosis and immune checkpoint blocking therapy (ICBT). This study aimed to investigate the immunological and prognostic characteristics of the tumour microenvironment (TME), as well as the regulatory mechanisms.Methods: Gene expression profiles and clinical data of patients with DLBCL were obtained from GEO database. ESTIMATE, CIBERSORT, and ssGSEA analyses were used to explore microenvironment characteristics and regulatory mechanism of the immune subtypes, which were identified by consistent clustering. The differences in enriched pathways were showed by GSEA. Hub genes associated with CD8+ T cells, which were identified by WCGNA, were exhibited biological functions through GO and KEGG. Immune-related gene scores (IRGSs) based on hub genes were used to evaluate the prediction of immune subtypes and ICBT, and retrospective analysis was used for validation. Finally, prognostic genes were screened to construct risk models.Results: Consensus clustering divided patients with DLBCL into two subtypes with significant heterogeneities in prognosis and immune microenvironment. Low immune infiltration was associated with poor prognosis. Subtype C1 with high immune infiltration was enriched in multiple immune pathways. We observed that two common mutated genes (B2M and EZH2) in DLBCL were closely related to MHC-I and microenvironment. Our further analysis manifested that MYD88L265P may be the main cause of TLR signalling pathway activation in subtype C1. Hub genes (SH2D1A, CD8A, GBP2, ITK, CD3D, RORA, IL1R2, CD28, CD247, CD3G, PRKCQ, CXCR6, and CD3E) in relation with CD8+ T cells were used to establish IRGS, which was proved an accurate predictor of immune subtypes, and patients in high-IRGS group were more likely to benefit from ICBT. Retrospective analysis showed that absolute lymphocyte count (ALC) was higher in the group that responded to the PD-1 inhibitor. Finally, the risk model was constructed based on two genes (CD3G and CD3D), and the low-risk group showed better prognosis.Conclusion: DLBCL immune classifications with highly heterogeneity are a powerful predictor of prognosis and ICBT. The IRGS is proved to be a reliable tool to distinguish immune subtypes as a substitute for gene expression profile.
Four clinical phenotypes of cow’s milk protein allergy based on dairy product specific IgE antibody types in North China
Authors: Tang Rui , Lyu Xiaohong , Liu Yi , Zhu Mingzhi , Yang Xukai , Wu Zhoujie , Han Bingnan , Wu Shandong , Sun Jinlyu 
Published: October 2022

BackgroundCow’s milk protein allergy (CMPA) is a common allergy. Immunoglobulin E (IgE)-mediated cow’s milk allergy is associated with a high mortality risk and poor prognosis. The study aims to investigate whether there are different clinically CMPA phenotypes in China and to explore the association between CMPA phenotypes and specific IgE (sIgE) antibodies against different dairy products.MethodsSerum sIgE against different animal milk and cow’s milk products and different milk components was measured by an allergen array. Four CMPA classifications were identified by the presence of serum sIgE: boiled milk-positive, yogurt-positive, buttermilk-positive, and raw milk-positive.ResultsAmong the 234 participants included in the study, 9 were boiled milk sIgE-positive, 50 were yogurt sIgE-positive, 17 were buttermilk sIgE-positive, and 158 were only raw milk sIgE-positive. The boiled milk-positive group had the highest levels of raw milk sIgE and casein sIgE antibodies, followed sequentially by the yogurt-positive, buttermilk-positive, and raw milk-positive groups. The boiled milk group observed the highest levels of sIgE against raw milk, casein, α-lactalbumin, and β-lactoglobulin. These levels differed significantly from those in the other three groups. Allergic symptoms were distributed differently among the four study groups. The percentages of allergic patients with gastrointestinal tract symptoms in the above mentioned four groups ranged from high to low, and the percentages of patients with skin symptoms in the four groups ranged from low to high, respectively.ConclusionBased on dairy product sIgE antibody levels associated with different milk components and various clinical allergic symptom tendencies, we could distinguish four CMPA phenotypes.
Identification of microsatellite instability and immune-related prognostic biomarkers in colon adenocarcinoma
Authors: Sun Ziquan , Li Guodong , Shang Desi , Zhang Jinning , Ai Lianjie , Liu Ming 
Published: October 2022

BackgroundColon adenocarcinoma (COAD) is a prevalent malignancy that causes significant mortality. Microsatellite instability plays a pivotal function in COAD development and immunotherapy resistance. However, the detailed underlying mechanism requires further investigation. Consequently, identifying molecular biomarkers with prognostic significance and revealing the role of MSI in COAD is important for addressing key obstacles in the available treatments.MethodsCIBERSORT and ESTIMATE analyses were performed to evaluate immune infiltration in COAD samples, followed by correlation analysis for MSI and immune infiltration. Then, differentially expressed genes (DEGs) in MSI and microsatellite stability (MSS) samples were identified and subjected to weighted gene co-expression network analysis (WGCNA). A prognostic model was established with univariate cox regression and LASSO analyses, then evaluated with Kaplan-Meier analysis. The correlation between the prognostic model and immune checkpoint inhibitor (ICI) response was also analyzed.ResultsIn total, 701 significant DEGs related to MSI status were identified, and WGCNA revealed two modules associated with the immune score. Then, a seven-gene prognostic model was constructed using LASSO and univariate cox regression analyses to predict survival and ICI response. The high-risk score patients in TCGA and GEO cohorts presented a poor prognosis, as well as a high immune checkpoint expression, so they are more likely to benefit from ICI treatment.ConclusionThe seven-gene prognostic model constructed could predict the survival of COAD and ICI response and serve as a reference for immunotherapy decisions.