bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pengaruh Harga dan Kualitas Produk terhadap Keputusan Pembelian Motor Honda Beat pada PT. Sinar Sentosa Primatama Sungai Bahar Jambi
Authors: Inderwan Robby Andre 
Published: May 2023

With the development of the times, we are indirectly required to follow various existing developments. Human needs are not limited to make us think about how to solve this problem by meeting the various human needs. The design of this research is descriptive quantitative which aims to see the description of price and product quality on purchasing decisions, so that it can be seen the elements that are maintained and improved by PT. Sinar Sentosa Primatama and can improve its quality. The research variables are price and product quality on purchasing decisions. The research population is consumers who buy Honda Beat motorcycles at PT. Sinar Sentosa Primatama Sungai Bahar Muaro Jambi. The sampling method is random sampling. Samples were taken 73 people. The research instrument used a questionnaire containing 36 items. The research method is carried out using multiple linear regression analysis tools with the help of SPSS 22. The tests carried out are hypothesis testing, namely t test, f test and to find out how big the coefficient of determination (R2) is. Based on the results of this study, the price variable t count is smaller than t table with a value of (1.422 > 1.984), thus Ho is accepted and H1 is rejected, and the product quality variable t count is greater than t table with a value of (3,740 > 1,994), then H1 is accepted HO is rejected. The value of the coefficient of determination (R2) is 50.2%, which means that the contribution of the independent variables, namely price (X1) and product quality (X2) affects the dependent variable on purchasing decisions (Y) by 50.2%, while the remaining 49.8% is influenced by by other factors. So it can be concluded that the price and product quality have a significant effect on purchasing decisions at PT. Sinar Sentosa Primatama Sungai Bahar Muaro Jambi. The results of the multiple linear regression analysis are Y = 29,879 + 0,234 %3D X+ 0,353 X2
Pengaruh Motivasi Kerja terhadap Kinerja Pegawai Pada Perumda Air Tirta Mayang Kota Jambi
Authors: Desiwati Helena 
Published: May 2023

Work motivation plays a very important role in employee performance. Therefore, the purpose of this research is to describe the work motivation and employee performance, and to find out and analyze the effect of work motivation on employee performance in PERUMDA Air Tirta Mayang Kota Jambi. Research methods in this study is descriptive and quantitative method. Data analyze use SPSS Ver 22 and using models simple linier regression with result of count Y = 1,116+0,527X+e. The test of determination with R2 of 37,6%. T test by comparison tcount 3,547> ttable 1,66724 then Ho accepted Hi be. Rejected.To analyze the effect of work motivation on employee performance on PERUMDA Air Tirta Mayang Kota Jambi. The distribution of questionnaires with a then the sample in this study amounted to 71 people respondent.Work Motivation regression coefficient (X) is 0,527, meaning that work motivation (X) has increased by 1%, so employee performance (Y) PERUMDA Air Tirta Mayang Kota Jambi. The coefficient of determination is known from the value of R2=0,376 (37,6%) which means that work motivation (X) is able to explain employee performance (Y) at the PERUMDA Air Tirta Mayang Kota Jambi that is equal to 37,6% and the remaining 62,4% is influenced by other variables. Not investigated in this study. Based on t-test, t-count value is 3,547 and the t-table is 1,66724. From the comparison results, it can be seen that the test by comparison tcount 3,547> ttable 1,66724 then Ho accepted Hi be. Rejected. Meaning that brand image affect purchasing decisions at PERUMDA Air Tirta Mayang Kota Jambi.
Pengaruh Kualitas Produk dan Citra Merek terhadap Keputusan Pembelian Sepeda Motor Merek Honda Scoopy Pada PT. Sentosa Sakti Motor Thehok Jambi
Authors: Praswara Bastian 
Published: May 2023

Several automotive companies which relatively dominate the market compete with each other to attract the purchasing decisions of consumers who buy motorcycle products. Purchase decisions are consumer decisions regarding preferences for brands in the choice set. Purchase decisions can be influenced by several factors such as product quality and brand image. The purpo se of this study was to describe product quality, brand image, and purchasing decisions for Honda Scoopy motorcycles at PT. Sentosa Sakti Motor Thehok and to analyze the effect of product quality and brand image on purchasing decisions for Honda Scoopy motorcycles at PT. Sentosa Sakti Motor Thehok. The research method used in this research is descriptive and quantitative methods. Methods of data collection is done by observation and questionnaires. The sample was searched using the Slovin formula so that a sample of 88 respondents was obtained. Data analysis was carried out by descriptive analysis and quantitative analysis, namely Multiple Regression Analysis. Based on the results of the study indicate that the descriptive variables of product quality, brand image, and purchasing decisions are categorized as high. Validity and reliability tests are met so that the questionnaire can be used. The data meet the regression assumption test. Multiple linear regression model was obtained as follows: Y = 2.718 + 0.220X1 + 0.705X2 Based on the regression model obtained, it shows that if the product quality and brand image are increasing, it will also inc rease the decision to purchase Honda Scoopy motorcycles at PT. Sentosa Sakti Motor Thehok. The results of hypothesis testing indic ate that the variables of product quality and brand image have an effect on purchasing decisions partially or simultaneously. Adjusted R Square of 0.445, meaning that 44.5% of product quality and brand image affect purchasing decisions.
‘Farklılık’ Algısını Parçalamak ve Özel Eğitim İçin Yeniden Birleştirmek
Authors: Tanık Hatice , Çalıkoğlu Burcu Seher , Kaya Aygen Büşra 
Published: May 2023

Çalışma öğretmen adaylarının “farklı olmak” kavramına yönelik zihinsel algıları ortaya çıkarmak amacıyla gerçekleştirilmiştir. Çalışma grubu İstanbul’da bir vakıf üniversitesindeki eğitim fakültesinin Türkçe, Arapça, ilköğretim matematik, özel eğitim ve sınıf öğretmenliği bölümlerinde öğrenim gören ve özel eğitim dersine kayıtlı olan 176 öğretmen adayından oluşmaktadır. Araştırma tarama modellerinden tekil tarama modeli ile gerçekleştirilmiştir. Veri seti, katılımcı öğretmen adayların “Farklı olmak......…....benzer. Çünkü, …….” ifadelerini tamamlaması yoluyla elde edilmiştir. Öğretmen adaylarının 77 ortak olmak üzere toplam 527 metafor ürettikleri gözlemlenmiştir. Farklılık için en çok “güneş” metaforunu kullanmayı tercih etmişlerdir. Araştırmanın ilk aşamasında, öğretmen adayları tarafından üretilen metaforlar; içerik analizi sonucunda (1) kişiye ortama zamana veya duruma göre değişen bir kavram olarak farklılık, (2) dahil olan / kabul edilen ve bütünleştiren bir kavram olarak farklılık, (3) özgün bir tavır olarak farklılık, (4) dışlanan, kabul edilmeyen ve ayrımcılığa maruz kalan bir kavram olarak farklılık, (5) anlaşılması gereken bir kavram olarak farklılık ve (6) mücadeleyi içeren bir kavram olarak farklılık olmak üzere altı farklı temada toplanmıştır. Araştırmanın ikinci aşamasında, farklılık kavramına ilişkin tüm üretilen anlamlar birleştirilmiş ve özel gereksinimliler adına yeni bir farklılık bilinci inşa edilmiştir. Bu farklılık bilincini geliştirmek için; öğretmen adaylarının lisans programlarında, normalleşme politikası, uyumsuzlukla yüzleşme ve norm değerlerinin oluşumu ve yok oluşu konularına yer verilmesi gerektiği düşünülmüştür.
Analisis Kerentanan Keamanan Sistem Informasi Akademik Universitas Bina Darma Menggunakan OWASP
Authors: Ariyadi Tamsir , Widodo Tantri Langgeng , Apriyanti Nely , Kirana Febriani Sasti 
Published: May 2023

Sistem Keamanan Informasi Akademik Universitas Bina Darma ialah suatu sistem berbasis web yang mengolah semua data ataupun informasi dan melakukan berbagai proses kegiatan akademik dimana melibatkan tenaga pendidik dan peserta didik, administrasi akademik, data nilai mahasiswa dan masih banyak lagi yang berkaitan dengan akademik. Pastinya data akademik tersebut sangat penting dan harus dijaga keamanannya. Oleh kareena itu, perlu dilakukan analisis kerentanan keamanan . Pada penelitian ini peneliti menggunakan metode Action Research yang menitikberatkan pada hasil scan yang berkaitan dengan celah keamanan dari website tersebut dan juga Framework OWASP dalam pengujian. Hasil dari penelitian ini sendiri yakni memberi informasi mengenai port-port mana yang saja yang terbuka dan juga solusi untuk meningkatkan keamanan website dan meminimalisir terjadinya Attack yang dilakukan oleh Hacker.
Analisa Usability pada Sistem Perpustakaan Menggunakan Metode User Centered Design
Authors: Oktarina Nadia , Muttakin Fitriani , Anofrizen Anofrizen , Fronita Mona 
Published: May 2023

Perpustakaan Universitas Muhammadiyah Riau menawarkan sistem perpustakaan digital sebagai wadah repository dengan mencakup jurnal online, skripsi, disertasi, riview penelitian ilmiah, e-book hingga prosiding. Dalam pelaksanaanya terdapat permasalahan yang terjadi diantaranya fitur unduh pada sistem seringkali hanya menampilkan pesan error serta tidak tersedia nya fitur layanan komentar dan share. Penelitian ini dilakukan untuk menganalisa dalam segi usability serta design yang ada pada sistem perpustakaan menggunakan metode User Centered Design dengan hasil berupa direkomendasikan sebuah prototype design interface baru sesuai dengan kebutuhan user. Dalam penelitian yang dilakukan didapatkan hasil berupa 2 variabel yang ditolak sehingga harus dilakukan peningkatan layanannya, diantaranya variabel Assistance agar user bisa berkomunikasi dengan pihak pengelola dan variabel Usability agar user dapat men­-share sebuah informasi dan mengkomentari informasi yang diberikan dengan usulan perbaikan ini di implementasikan ke dalam design tampilan yang baru berdasarkan aturan atau prinsip UCD yang perhitungannya dinyatakan tidak dapat diterima tanpa mengubah design lainnya. Hasil yang diperoleh dalam pengujian usability didapatkan sebesar 86,5% yang dikategorikan sangat baik untuk keseluruhan sistem perpustakaan.Kata kunci: Sistem Informasi, Analisa, Usability, User Centered Design, Perpustakaan
Analysis and design of single-cell experiments to harvest fluctuation information while rejecting measurement noise
Authors: Vo Huy D. , Forero-Quintero Linda S. , Aguilera Luis U. , Munsky Brian 
Published: May 2023

Introduction:Despite continued technological improvements, measurement errors always reduce or distort the information that any real experiment can provide to quantify cellular dynamics. This problem is particularly serious for cell signaling studies to quantify heterogeneity in single-cell gene regulation, where important RNA and protein copy numbers are themselves subject to the inherently random fluctuations of biochemical reactions. Until now, it has not been clear how measurement noise should be managed in addition to other experiment design variables (e.g., sampling size, measurement times, or perturbation levels) to ensure that collected data will provide useful insights on signaling or gene expression mechanisms of interest.Methods:We propose a computational framework that takes explicit consideration of measurement errors to analyze single-cell observations, and we derive Fisher Information Matrix (FIM)-based criteria to quantify the information value of distorted experiments.Results and Discussion:We apply this framework to analyze multiple models in the context of simulated and experimental single-cell data for a reporter gene controlled by an HIV promoter. We show that the proposed approach quantitatively predicts how different types of measurement distortions affect the accuracy and precision of model identification, and we demonstrate that the effects of these distortions can be mitigated through explicit consideration during model inference. We conclude that this reformulation of the FIM could be used effectively to design single-cell experiments to optimally harvest fluctuation information while mitigating the effects of image distortion.
Patterns of Anti-Inflammatory and Immunomodulating Drug Usage and Microvascular Endothelial Function in Rheumatoid Arthritis
Authors: Mangoni Arduino A. , Woodman Richard J. , Piga Matteo , Cauli Alberto , Fedele Anna Laura , Gremese Elisa , Erre Gian Luca ,   The EDRA Study Group
Published: May 2023

Objectives: Specific anti-inflammatory and/or immunomodulating drugs (AIDs) can influence endothelial function which is often impaired in patients with rheumatoid arthritis (RA). We sought to determine whether overall patterns of AID usage are similarly associated with endothelial function.Methods: The reactive hyperaemia index (RHI), a marker of microvascular endothelial function, was measured in 868 RA patients reporting their intake of seven AIDs known to affect endothelial function. Latent class analysis (LCA) was performed to characterise patterns of AID usage. Models for 2–6 classes were compared using the AIC and BIC statistics and Lo-Mendell-Rubin likelihood ratio tests. Associations between the classes and RHI were adjusted for age, gender, body mass index, diabetes, HDL-cholesterol, LDL-cholesterol, family history of ischaemic heart disease, smoking status, RA duration, DAS28 score, steroid dose, existing hypertension, and C-reactive protein.Results: LCA identified five distinct AID usage classes: Class 1, generally low medication usage; Class 2, using either sulfasalazine or non-tumour necrosis factor (TNF) inhibitors; Class 3, methotrexate users; Class 4, TNF-inhibitor users; and Class 5, hydroxychloroquine users. The geometric mean for the RHI for subjects in classes 1 to 5 was 1.92, 1.81, 1.94, 2.10, and 2.07, respectively, with subjects in classes 4 and 5 having better endothelial function than subjects in class 2 (p = 0.003 for each). The glucocorticoid dosage did not influence the classes formed or the association between the classes and the RHI in sensitivity analyses.Conclusion: There were five broad patterns (classes) of AID usage in RA patients. The RHI was relatively lower in users of either sulfasalazine or non-TNF inhibitors. TNF inhibitors or hydroxychloroquine may counteract the negative effects of RA on endothelial function.
Clinical and economic impact of COVID-19 on people with obesity in a Spanish cohort during the first pandemic peak
Authors: M Torrego-Ellacuría , MA Rubio-Herrera , B González López-Valcárcel , ME Fuentes-Ferrer , V Martín , F Poyato , P Barber-Pérez , C Santucci , A Nuñez , C González-Pérez , M Luaces 
Published: May 2023

IntroductionCOVID-19 and obesity relationship has been extensively studied since the COVID-19 outbreak, proving obesity is a risk factor. This study aims to broaden the available information about this association and to evaluate the economic impact of obesity and the COVID-19 disease combination.MethodsThis retrospective study analyzed a sample of 3,402 patients admitted to a Spanish hospital with available body mass index (BMI) data.ResultsThe prevalence of obesity was 33.4%. Patients with obesity showed a higher risk of hospitalization (OR 95% ConfidenceInterval [CI]=1.46; [1.24-1.73]; p &lt; 0.001), which increased with the obesity degree (I: OR [95% CI]=1.28 [1.06-1.55], p =0.010; II: OR [95% CI]=1.58 [1.16-2.15], p =0.004; III: OR [95% CI] =2.09 [1.31-3.34], p =0.002). Patients with type III obesity had a significantly higher risk of intensive care unit (ICU) admission (OR [95% CI]= 3.30 [1.67-6.53]; p = 0.001) and invasive mechanical ventilation (IMV) need (OR [95% CI]= 3.98 [2.00-7.94]; p&lt;0.001). The average cost per patient was remarkably higher in patients with obesity (p = 0.007), reaching an excess cost of 28.41% in the study cohort and rising to 56.5% in patients &lt; 70 years. The average cost per patient increased significantly with the degree of obesity (p = 0.007).DiscussionIn conclusion, our results suggest a strong association between obesity and adverse COVID-19 outcomes and higher expenditures in patients with both conditions.
Precision radiotherapy using MR-linac for pancreatic neuroendocrine tumors in MEN1 patients (PRIME): a protocol for a phase I-II trial, and systematic review on available evidence for radiotherapy of pNETs
Authors: van Vliembergen Eline N. M. , Eijkelenkamp Hidde , Valk Gerlof D. , Vriens Menno R. , Meijer Gert J. , Intven Martijn P. W. , de Laat Joanne M. 
Published: May 2023

BackgroundSurgical resection is the standard of care for the treatment of pancreatic neuro-endocrine tumors (pNETs) in patients with Multiple Endocrine Neoplasia Type 1 (MEN1). However, surgery can cause significant short- and long-term morbidity. Magnetic resonance-guided radiotherapy (MRgRT) is a potential effective treatment with little side effects. With traditional radiotherapy techniques, irradiation of pancreatic tumors to high dose levels was hampered by poor visibility of the tumor during treatment. MRgRT uses onboard MRI to guide the treatment, thereby enabling delivery of ablative irradiation doses to the tumor, while sparing surrounding tissues. In this study, we describe results from a systematic review assessing efficacy of radiotherapy in pNET and present the protocol of the PRIME study.MethodsPubMed, Embase and Cochrane Library were searched for articles assessing efficacy and side effects of radiotherapy for the treatment of pNETs. Risk of bias was assessed using the ROBINS-I Risk of Bias Tool for observational studies. Descriptive statistics were used to describe results of included trials.ResultsFour studies comprising of 33 patients treated by conventional radiotherapy were included. Despite the heterogeneity of studies, radiotherapy appeared to be effective for the treatment of pNETs with most patients responding (45.5%) or stabilizing (42.4%) in tumor size.Conclusion and trial designDue to the limited literature available and concerns about damage to surrounding tissue, conventional radiotherapy is currently little used for pNETs. The PRIME study is a phase I-II trial with a single arm prospective cohort study design, investigating the efficacy of MRgRT in MEN1 patients with pNET. MEN1 patients with growing pNETs with a size between 1.0 and 3.0 cm without malignant features are eligible for inclusion. Patients are treated with 40 Gy in 5 fractions on the pNET, using online adaptive MRgRT on a 1.5T MR-linac. The primary endpoint is the change in tumor size at MRI 12 months follow-up. Secondary endpoints include radiotoxicity, quality of life, endocrine and exocrine pancreas function, resection rate, metastatic free and overall survival. When MRgRT is found effective with low radiotoxicity, it could reduce the need for surgery for pNET and preserve quality of life.Systematic Review RegistrationPROSPERO https://clinicaltrials.gov/, (CRD42022325542).
The CD40 agonist HERA-CD40L results in enhanced activation of antigen presenting cells, promoting an anti-tumor effect alone and in combination with radiotherapy
Authors: Frankish Jamie , Mukherjee Debayan , Romano Erminia , Billian-Frey Katharina , Schröder Matthias , Heinonen Karl , Merz Christian , Redondo Müller Mauricio , Gieffers Christian , Hill Oliver , Thiemann Meinolf , Honeychurch Jamie , Illidge Tim , Sykora Jaromir 
Published: May 2023

IntroductionThe ability to modulate and enhance the anti-tumor immune responses is critical in developing novel therapies in cancer. The Tumor Necrosis Factor (TNF) Receptor Super Family (TNFRSF) are potentially excellent targets for modulation which result in specific anti-tumor immune responses. CD40 is a member of the TNFRSF and several clinical therapies are under development. CD40 signaling plays a pivotal role in regulating the immune system from B cell responses to myeloid cell driven activation of T cells. The CD40 signaling axis is well characterized and here we compare next generation HERA-Ligands to conventional monoclonal antibody based immune modulation for the treatment of cancer.Methods &amp; resultsHERA-CD40L is a novel molecule that targets CD40 mediated signal transduction and demonstrates a clear mode of action in generating an activated receptor complex via recruitment of TRAFs, cIAP1, and HOIP, leading to TRAF2 phosphorylation and ultimately resulting in the enhanced activation of key inflammatory/survival pathway and transcription factors such asNFkB, AKT, p38, ERK1/2, JNK, and STAT1 in dendritic cells. Furthermore, HERA-CD40L demonstrated a strong modulation of the tumor microenvironment (TME) via the increase in intratumoral CD8+ T cells and the functional switch from pro-tumor macrophages (TAMs) to anti-tumor macrophages that together results in a significant reduction of tumor growth in a CT26 mouse model. Furthermore, radiotherapy which may have an immunosuppressive modulation of the TME, was shown to have an immunostimulatory effect in combination with HERA-CD40L. Radiotherapy in combination with HERA-CD40L treatment resulted in an increase in detected intratumoral CD4+/8+ T cells compared to RT alone and, additionally, the repolarization of TAMs was also observed, resulting in an inhibition of tumor growth in a TRAMP-C1 mouse model.DiscussionTaken together, HERA-CD40L resulted in activating signal transduction mechanisms in dendritic cells, resulting in an increase in intratumoral T cells and manipulation of the TME to be pro-inflammatory, repolarizing M2 macrophages to M1, enhancing tumor control.
Accounting for uncertainty in training data to improve machine learning performance in predicting new disease activity in early multiple sclerosis
Authors: Tayyab Maryam , Metz Luanne M. , Li David K.B. , Kolind Shannon , Carruthers Robert , Traboulsee Anthony , Tam Roger C. 
Published: May 2023

IntroductionMachine learning (ML) has great potential for using health data to predict clinical outcomes in individual patients. Missing data are a common challenge in training ML algorithms, such as when subjects withdraw from a clinical study, leaving some samples with missing outcome labels. In this study, we have compared three ML models to determine whether accounting for label uncertainty can improve a model’s predictions.MethodsWe used a dataset from a completed phase-III clinical trial that evaluated the efficacy of minocycline for delaying the conversion from clinically isolated syndrome to multiple sclerosis (MS), using the McDonald 2005 diagnostic criteria. There were a total of 142 participants, and at the 2-year follow-up 81 had converted to MS, 29 remained stable, and 32 had uncertain outcomes. In a stratified 7-fold cross-validation, we trained three random forest (RF) ML models using MRI volumetric features and clinical variables to predict the conversion outcome, which represented new disease activity within 2 years of a first clinical demyelinating event. One RF was trained using subjects with the uncertain labels excluded (RFexclude), another RF was trained using the entire dataset but with assumed labels for the uncertain group (RFnaive), and a third, a probabilistic RF (PRF, a type of RF that can model label uncertainty) was trained on the entire dataset, with probabilistic labels assigned to the uncertain group.ResultsProbabilistic random forest outperformed both the RF models with the highest AUC (0.76, compared to 0.69 for RFexclude and 0.71 for RFnaive) and F1-score (86.6% compared to 82.6% for RFexclude and 76.8% for RFnaive).ConclusionMachine learning algorithms capable of modeling label uncertainty can improve predictive performance in datasets in which a substantial number of subjects have unknown outcomes.