bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analisa Pengaruh Bauran Pemasaran (Marketing Mix) Terhadap Minat Konsumen Untuk Melakukan Belanja Kembali (Re-Purchase) Di Panyawangan Resto Lombok
Authors: Ramadhan Bagus Sinatrya , Maniza Lalu Hendra , Yusril Muhammad 
Published: December 2024

ABSTRAK Penelitian ini bertujuan untuk mengetahui pengaruh signifikansi dari 7 bauran pemasaran yaitu produk, harga, lokasi, promosi, orang, fasilitas fisik, dan proses baik secara parsial atau simultan terhadap minat konsumen untuk melakukan belanja kembali di Panyawangan Resto Lombok.Jenis penelitian yang digunakan adalah penelitian survei. Metode pengumpul data yang digunakan adalah kuesioner dengan sampel yang berasal dari seluruh populasi konsumen yang pernah bertransaksi minimal 2 kali di Panyawangan Resto Lombok, yang berjumlah 100 orang. Jenis data yang digunakan dalam penelitian ini adalah kuantitatif. Skala pengukuran menggunakan skala pengukuran skala likert. Alat analisis yang digunakan adalah regresi linier berganda yang dianalisis dengan menggunakan SPSS 25.00 For Windows.Hasil penelitian menunjukan bahwa terdapat pengaruh yang positif dan signifikan secara parsial dari variabel produk, harga, promosi, fasilitas fisik, dan proses. Sedangkan variabel Lokasi dan orang tidak berpengaruh secara signifikan terhadap keputusan melakukan belanja kembali di Panyawangan Resto Lombok. Terdapat pengaruh yang signifikan secara simultan dari variabel produk, harga, lokasi, promosi, orang, fasilitas fisik, dan proses pada Panyawangan Resto Lombok. Variabel yang mempunyai pengaruh dominan adalah variabel produk terhadap minat konsumen untuk belanja kembali di Panyawangan Resto Lombok.
Analisis Dampak Investasi Cryptocurrency sebagai Transaksi Digital untuk Perekonomian Dunia yang Berkelanjutan
Authors: Tajriani Dini Tiara , Rabani Burhanudin 
Published: December 2024

Salah satu perkembangan perekonomian yang sebelumnya masyarakat melakukan transaksi bisnis hanya dengan menggunakan mata uang konvensional kini telah beralih ke arah teknologi keuangan/digitalisasi. Untuk menjawab tantangan perkembangan tersebut, bermunculan beberapa startup di bidang teknologi keuangan, salah satunya adalah teknologi cryptocurrency.Cryptocurrency merupakan teknologi berbasis blockchain yang sering digunakan sebagai mata uang digital. Namun tidak memiliki bentuk fisik uang seperti mata uang, melainkan hanya berupa blok data yang diikat oleh hash sebagai validasi. Cryptocurrency menyebabkan nilai suatu mata uang tiba-tiba naik atau tiba-tiba turun drastis dalam waktu singkat karena nilai mata uang tersebut sulit diprediksi. Sehingga peneliti tertarik untuk menganalisis dampak investasi pada cryptocurrency. Metodologi yang digunakan dalam penulisan artikel ini adalah metode deskriptif kualitatif dengan pendekatan normatif. Jenis penelitian yang digunakan adalah studi literatur.Dampak positif dari Cryptocurrency adalah transfer yang cepat dengan keuntungan investasi yang sangat besar, dan harga Cryptocurrency juga sangat menjanjikan. Investasi mata uang kripto juga dapat mengurangi risiko sektor ekuitas selama pandemi. Transparan, cepat dan praktis. Biayanya relatif lebih rendah. Dan dampak negatif dari Cyptocurrency adalah memiliki fluktuasi harga yang sangat tinggi, tidak terjaminnya aset berwujud tertentu, dari segi islam mengandung unsur ketidakpastian, karena tidak menggunakan identitas asli dan rentan terhadap aktivitas pencucian uang.Dampak positif dari cryptocurrency Sustainable Economic dunia adalah kenyamanan, keamanan dan stabilitas sistem keuangan yang dapat berdampak mendorong pertumbuhan ekonomi, sedangkan dampak negatif dari cryptocurrency adalah kejahatan cyber dan ketidakstabilan sistem keuangan yang dapat menghambat pertumbuhan ekonomi. . Sehingga pemerintah perlu melibatkan cryptocurrency dalam sistem dan kebijakan untuk memperkuat perekonomian dunia dan menghindari dampak negatif dari ketidakstabilan perekonomian dunia
Formulasi Minuman Ready to Drink dengan Penambahan Ekstrak Fuli Pala (Myristica argantea Warb) berdasarkan Penerimaan Sensori
Authors: Maryati Maryati , Wailussy Isring , Kuliahsari Dessy Eka , Ramadhana Arga 
Published: December 2024

Fuli pala (Myristica argentea Warb) pada umumnya dijual dalam bentuk kering. Kandungan senyawa antioksidan pada fuli pala dapat dimanfaatkan sebagai perisa alami dalam produk pangan, salah satunya adalah minuman. Minuman ready to drink berbasis rempah dan herbal sudah banyak yang mengonsumsi, namun belum ada minuman ready to drink yang menggunakan ekstrak fuli pala dengan kombinasi herbal jamu. Tujuan dari penelitian ini adalah untuk mengetahui pengaruh penambahan ekstrak fuli pala dalam minuman ready to drink terhadap penerimaan sensori dan menentukan formula terbaik minuman ready to drink dengan penambahan ekstrak fuli pala berdasarkan penerimaan sensori. Rancangan percobaan ini menggunakan Rancangan Acak Lengkap (RAL) dengan 1 faktor yaitu konsenstrasi ekstrak fuli pala dengan perlakuan P1 (1% v/v), P2 (2% v/v), P3 (3% v/v) dan P4 (4% v/v) dengan tiga parameter kesukaan yaitu warna, aroma, dan rasa. Prosedur penelitian ini berupa pembuatan ekstrak (fuli pala, kunyit, temulawak, kencur, dan kayu secang); pembuatan minuman ready to drink; uji organoleptik; dan penentuan formula terbaik. Data uji tingkat kesukaan minuman ready to drink diolah dengan menggunakan One Way Anova dengan taraf kepercayaan 95% dan apabila terdapat pengaruh nyata maka dilakukan uji Duncan`s Multiple Rage Test (DMRT) yang menggunakan SPSS 24. Penentuan formula terbaik minuman fungsional diolah menggunakan metode De Garmo. Minuman ready to drink dengan penambahan ekstrak fuli dengan konsentrasi (1%, 2%, 3%, dan 4% v/v) tidak memberikan pengaruh nyata (P>0,05) terhadap tingkat kesukaan warna dan aroma, dan memberikan pengaruh nyata (P<0,05) terhadap tingkat kesukaan pada parameter rasa. Formula terbaik minuman ready to drink memiliki nilai efektivitas tertinggi yaitu penambahan ekstrak fuli sebanyak 2% (v/v) dengan nilai kesukaan warna sebesar 5,97 (mendekati suka), aroma sebesar 6,00 (suka), dan rasa sebesar 6,39 (mendekati sangat suka).
ANALISIS SENTIMEN APLIKASI PEMINJAMAN ONLINE BERDASARKAN ULASAN PADA PLAY STORE MENGGUNAKAN METODE NAÏVE BAYES DAN SUPPORT VECTOR MACHINE (STUDI KASUS : ADAKAMI DAN EASYCASH)
Authors: Abdillah Sam Mongkito La Ode Muhammad Hafidz , Ransi Natalis , Surimi La , Tenriawaru Andi , Gunawan Gunawan , Wijaya Rauf Budi 
Published: December 2024

Penelitian ini bertujuan menganalisis sentimen aplikasi peminjaman online berdasarkan ulasan pada Google Play Store menggunakan metode Naïve Bayes dan Support Vector Machine serta menentukan aplikasi peminjaman online mana yang lebih terpercaya. AdaKami merupakan aplikasi peminjaman online yang berada dalam naungan PT.Pembiayaan Digital Indonesia. EasyCash merupakan aplikasi peminjaman online yang merupakan perusahaan finansial teknologi milik PT.Indonesia Fintopia Technology yang menyediakan portal layanan keuangan digital khususnya peminjaman online. Namun untuk menentukan apakah aplikasi peminjaman online ini andal atau terpercaya, dibutuhkan kumpulan informasi yang berasal dari pengalaman pengguna sebelumnya.
Metode Naïve Bayes dan Support Vector Machine digunakan untuk menganalisis sentimen aplikasi peminjaman berdasarkan data ulasan relevan yang diproses menggunakan bahasa pemrograman python dengan google colabs sebagai tools untuk melakukan tahap penelitian.
Hasil Penelitian menunjukan bahwa metode Naïve Bayes dan Support Vector Machine dapat diterapkan dalam menganalisis sentimen aplikasi peminjaman online dan berdasarkan hasil analisis aplikasi menggunakan metode Naïve Bayes Adakami lebih terpercaya oleh pengguna sebelumnya dikarenakan menghasilkan data ulasan positif sebesar 95% dan aplikasi Easycash menghasilkan data ulasan positif sebesar 93% serta hasil menggunakan metode Support Vector Machine Adakami menghasilkan data ulasan positif sebesar 91% dan aplikasi Easycash menghasilkan data ulasan positif sebesar 83%.
Intrinsic anti-inflammatory nanomedicines for enhanced pain management
Authors: Qiao Bin , Yao Jiaqian , Fan Yu’ang , Zhang Na , Feng Miao , Zhao Jiaju , Song Xinye , Luan Yong , Zhuang Bowen , Zhang Nan , Xie Xiaoyan , Xu Ming 
Published: December 2024

IntroductionEffective postoperative pain management remains a significant challenge due to the severe side effects of opioids and the limitations of existing analgesic delivery systems. Inflammation plays a critical role in pain exacerbation, highlighting the need for therapies that combine analgesic effects with intrinsic anti-inflammatory properties.MethodsHerein, we develop an intrinsic anti-inflammatory nanomedicine designed to enhance pain management by integrating controlled anesthetic release with inherent anti-inflammatory activity. Our nanoplatform utilizes dendritic mesoporous silica nanoparticles (MSNs) loaded with levobupivacaine and coated with Rg3-based liposomes derived from ginsenoside Rg3, termed LMSN-bupi.ResultsThe MSNs enable sustained and controlled release of the local anesthetic, while the Rg3-liposome coating provides intrinsic anti-inflammatory effects by inhibiting macrophage activation. In animal models, LMSN-bupi demonstrates significantly prolonged analgesic effects and attenuated inflammatory responses compared to traditional liposome-decorated nanoparticles (TMSN-bupi) (n = 5).DiscussionThese findings underscore the potential of intrinsic anti-inflammatory nanomedicines in enhancing pain management, offering a promising strategy to overcome the limitations of current therapies and improve patient outcomes in postoperative care.
The impact of atrial voltage and conduction velocity phenotypes on atrial fibrillation recurrence
Authors: Silva Cunha Pedro , Laranjo Sérgio , Monteiro Sofia , Portugal Guilherme , Guerra Cátia , Rocha António Condeixa , Pereira Mariana , Ferreira Rui Cruz , Heijman Jordi , Oliveira Mário Martins 
Published: December 2024

IntroductionLow atrial voltage and slow conduction velocity (CV) have been associated with atrial fibrillation (AF); however, their interaction and relative importance as early disease markers remain incompletely understood. We aimed to elucidate the relationship between atrial voltage and CV using high-density electroanatomic (HDE) maps of patients with AF.MethodsHDE maps obtained during sinus rhythm in 52 patients with AF and five healthy controls were analysed. Atrial voltage and CV maps were generated, and their correlations were assessed. Subgroup analyses were performed based on clinically relevant factors such as AF type, CV, and voltage levels. Finally, cluster analysis was conducted to identify distinct phenotypes within the population, reflecting different patterns of conduction and voltage.ResultsA moderate positive correlation was found between the mean atrial voltage and CV (r = 0.570). Subgroup analysis revealed differences in voltage (p = 0.0044) but not in global CV (p = 0.42), with no significant differences between AF types. Three distinct phenotypes emerged: normal voltage/normal CV, normal voltage/low CV, and low voltage/low CV, with distinct recurrence rates, suggesting different disease progression paths. Slower atrial CV was identified as a significant predictor of arrhythmia recurrence at 12 and 24 months after AF ablation, surpassing the predictive potential of atrial voltage.ConclusionAtrial voltage and CV analyses revealed distinct phenotypes. Lower atrial CV emerged as a significant predictor of AF recurrence, exceeding the predictive significance of atrial voltage. These findings emphasise the importance of considering CV and voltage in managing AF and offer potential insights for personalised strategies.
Differences in severity of diffuse and focal coronary stenosis between visual and quantitative assessment
Authors: Wang Xinmao , Song Chao , Liu Heng , Zhou Lin , Zhang Letian 
Published: December 2024

BackgroundCoronary Artery Disease (CAD) is a leading cause of mortality, with an increasing number of patients affected by coronary artery stenosis each year. Coronary angiography (CAG) is commonly employed as the definitive diagnostic tool for identifying coronary artery stenosis. Physician Visual Assessment (PVA) is often used as the primary method to determine the need for further intervention, but its subjective nature poses challenges. This study sought to evaluate the differences of severity of diffuse and focal coronary stenosis between PVA and Quantitative Coronary Angiography (QCA).Methods293 patients with coronary artery disease (334 coronary lesions) underwent CAG and fractional flow reserve (FFR). PVA and QCA was used to quantify diameter stenosis (DS). DS ≥50% was defined as obstructive. FFR ≤0.8 was defined as myocardial ischemia.ResultsThe mean ± SD age of all patients was 66 ± 9 years. ΔDS between PVA and QCA was higher in diffuse lesions (16.45 ± 7.37%) than in focal lesions (14.39 ± 7.83%) (P = 0.04). DSPVA and DSQCA had linear negative correlation (rPVA = −0.3182, rQCA = −0.4054) with FFR in diffuse, while in focal, DSPVA and DSQCA had an even stronger linear negative correlation (rPVA = −0.4090, rQCA = −0.4861) with FFR. ROC analysis demonstrated that DSQCA had better discrimination capability for myocardial ischemia (FFR ≤ 0.80) than DSPVA in different of length stenosis.ConclusionsPVA was more likely to overestimate diameter stenosis in coronary arteries than QCA, and the severity of diffuse stenosis was more likely to be overestimated than that of focal stenosis.
Construction and validation of a nomogram model for predicting diabetic peripheral neuropathy
Authors: Liu Hanying , Liu Qiao , Chen Mengdie , Lu Chaoyin , Feng Ping 
Published: December 2024

ObjectiveDiabetic peripheral neuropathy (DPN) is a chronic complication of diabetes that can potentially escalate into ulceration, amputation and other severe consequences. The aim of this study was to construct and validate a predictive nomogram model for assessing the risk of DPN development among diabetic patients, thereby facilitating the early identification of high-risk DPN individuals and mitigating the incidence of severe outcomes.Methods1185 patients were included in this study from June 2020 to June 2023. All patients underwent peripheral nerve function assessments, of which 801 were diagnosed with DPN. Patients were randomly divided into a training set (n =711) and a validation set (n = 474) with a ratio of 6:4. The least absolute shrinkage and selection operator (LASSO) logistic regression analysis was performed to identify independent risk factors and develop a simple nomogram. Subsequently, the discrimination and clinical value of the nomogram was extensively validated using receiver operating characteristic (ROC) curves, calibration curves and clinical decision curve analyses (DCA).ResultsFollowing LASSO regression analysis, a nomogram model for predicting the risk of DPN was eventually established based on 7 factors: age (OR = 1.02, 95%CI: 1.01 - 1.03), hip circumference (HC, OR = 0.94, 95%CI: 0.92 – 0.97), fasting plasma glucose (FPG, OR = 1.06, 95%CI: 1.01 - 1.11), fasting C-peptide (FCP, OR = 0.66, 95%CI: 0.56 - 0.77), 2 hour postprandial C-peptide (PCP, OR = 0.78, 95%CI: 0.72 – 0.84), albumin (ALB, OR = 0.90, 95%CI: 0.87 – 0.94) and blood urea nitrogen (BUN, OR = 1.08, 95%CI: 1.01 - 1.17). The areas under the curves (AUC) of the nomogram were 0.703 (95% CI 0.664-0.743) and 0.704 (95% CI 0.652-0.756) in the training and validation sets, respectively. The Hosmer–Lemeshow test and calibration curves revealed high consistency between the predicted and actual results of the nomogram. DCA demonstrated that the nomogram was valuable in clinical practice.ConclusionsThe DPN nomogram prediction model, containing 7 significant variables, has exhibited excellent performance. Its generalization to clinical practice could potentially help in the early detection and prompt intervention for high-risk DPN patients.
Association of geriatric nutritional risk index with total testosterone in elderly adults in the US: evidence from NHANES 2011-2016
Authors: Li Tanjian , Jiang Na , Liang Xin , Li Xinya , Li Yaqin , Huang Yuting , Wang Yu 
Published: December 2024

Background and objectivesThere is growing evidence that deficiencies in specific nutrients can impact testosterone levels in older men. However, research examining the predictive value of overall nutritional status on testosterone levels remains limited. The Geriatric Nutritional Risk Index (GNRI) is an effective tool for assessing the nutritional status of the elderly. Therefore, this study aimed to investigate the potential correlation between the GNRI and serum total testosterone (TT).MethodsA representative sample of U.S. males aged 60 years and older who participated in the National Health and Nutrition Examination Survey (NHANES) cycles from 2011 to 2016 was utilized for this cross-sectional study. The research included a total of 829 older adults. Tandem mass spectrometry and liquid chromatography were employed to quantify TT. To examine the association between GNRI and TT, restricted cubic splines (RCS) and weighted multivariate regression analyses were conducted. Subgroup analysis was performed to identify the variables influencing the positive association between GNRI and TT. Additionally, a sensitivity analysis was carried out to compare the weighted and unweighted data.ResultsAfter adjusting for all other factors, a positive association was found between GNRI and TT. The beta coefficient was 5.59, with a 95% confidence interval of 2.16 to 9.01, and a p-value of 0.003. Compared to the lowest quartile of GNRI (Q1), the second quartile (Q2), third quartile (Q3), and fourth quartile (Q4) significantly increased the level of TT. The beta coefficients for Q2, Q3, and Q4 were 70.15 (p = 0.022), 104.40 (p &lt; 0.001), and 84.83 (p &lt; 0.001), respectively. In subgroup analyses, statistically significant associations were observed among participants who did not have diabetes, had hypertension, and had a BMI of 24.9 or less. According to the sensitivity analysis, unweighted data also found GNRI to be associated with TT (beta = 3.09, P = 0.031).ConclusionA positive correlation was identified between the GNRI and TT in the elderly male population of the United States. Further prospective studies with larger sample sizes are needed to confirm the causal relationship between GNRI and TT.
Decreased telomerase activity and shortened telomere length in infants whose mothers have gestational diabetes mellitus and increased severity of telomere shortening in male infants
Authors: Liu Shuhua , Xu Liping , Cheng Yan , Liu Dehong , Zhang Bin , Chen Xianxia , Zheng Mingming 
Published: December 2024

ObjectiveGestational diabetes mellitus (GDM) is a common complication during pregnancy and increases the risk of metabolic diseases in offspring. We hypothesize that the poor intrauterine environment in pregnant women with GDM may lead to chromosomal DNA damage and telomere damage in umbilical cord blood cells, providing evidence of an association between intrauterine programming and increased long-term metabolic disease risk in offspring.MethodsWe measured telomere length (TL), serum telomerase (TE) activity, and oxidative stress markers in umbilical cord blood mononuclear cells (CBMCs) from pregnant women with GDM (N=200) and healthy controls (Ctrls) (N=200) and analysed the associations of TL with demographic characteristics, biochemical indicators, and blood glucose levels.ResultsThe length of telomeres in umbilical CBMCs in the GDM group was significantly shorter than that in the Ctrl group (P&lt;0.001), and the shortening of telomeres in male infants in the GDM group was more significant than that in the Ctrl group (P&lt;0.001) after adjustment for Pre-pregnancy body mass index (PBMI), Pregnancy weight gain (PGW), and Triglyceride (TG) as confounding factors. In addition, the TE expression level in the GDM group was lower after adjustment. There was no statistically significant difference in oxidative stress hydroxydeoxyguanosine (8-OHdG), malondialdehyde (MDA) and superoxide dismutase (SOD) between the two groups. TL was positively correlated with TE activity, and both were negatively correlated with blood glucose levels. There was no correlation between TL and Gestational age (GA), PBMI, PGW, or TG levels.ConclusionThe poor intrauterine environment in pregnant women with GDM increases telomere attrition and reduces TE activity, which may be potential genetic risk factors for an increased risk of metabolic diseases in offspring later in life due to intrauterine reprogramming.
Heterodisomy in the GNAS locus is also a cause of pseudohypoparathyroidism type 1B (iPPSD3)
Authors: Manero-Azua Africa , Vado Yerai , Gonzàlez Morlà Judith , Mogas Eduard , Pereda Arrate , Perez de Nanclares Guiomar 
Published: December 2024

ObjectiveTo identify the genetic cause underlying the methylation defect in a patient with clinical suspicion of PHP1B/iPPSD3.DesignImprinting is an epigenetic mechanism that allows the regulation of gene expression. The GNAS locus is one of the loci within the genome that is imprinted. When the methylation pattern is affected, it causes pseudohypoparathyroidism type 1B (PHP1B) or inactivating PTH/PTHrP signaling disorder 3 (iPPSD3). Paternal uniparental isodisomy (iUPDpat) of the chromosomal region comprising the GNAS locus has been described as one of the possible underlying genetic causes of the methylation alteration.MethodsWe present the case of a patient clinically diagnosed with iPPSD3. We performed a commercial methylation-specific multiplex ligation-dependent probe amplification (MS-MLPA), single-nucleotide polymorphism (SNP) array, and microsatellite study. In addition, we designed a custom MS-MLPA to analyze GNAS and nearby differentially methylated regions (DMRs).ResultsA methylation defect at the four GNAS-DMRs was detected, confirming the clinical diagnosis. Complementary techniques revealed the presence of a mixed isodisomy and heterodisomy of chromosome 20. Surprisingly, the GNAS locus was located on the heterodisomic zone.ConclusionsPaternal uniparental heterodisomy (hUPD) at the GNAS locus is also a genetic defect associated with iPPSD3. In the absence of parental samples, our custom MS-MLPA allows for the detection of a methylation defect at the GNAS locus and flanking DMRs, suggestive of uniparental disomy (UPD). We also suggest updating the actual guidelines to include hUPD at the GNAS locus as a cause of iPPSD3.