bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analisis Perbandingan Penghitungan Pendanaan Pensiun dengan Model Suku Bunga Vasicek dan Cox Ingersoll Ross (CIR) Menggunakan Metode Frozen Initial Liability
Authors: Setiawan Dicky Ananda , Lestari Fuji 
Published: December 2024

Ketidakpastian dimasa depan mengantarkan pada imperatif perencanaan keuangan yang cermat, terutama dalam aspek pensiun. Program pensiun menjadi solusi fundamental untuk memastikan stabilitas finansial di masa tua. Penelitian ini bertujuan untuk menganalisis perbandingan iuran normal dan kewajiban aktuaria dengan menggunakan model suku bunga stokastik. Salah satu metode yang dapat digunakan untuk menghitung program pensiun adalah metode Frozen Initial Liability (FIL). Tingkat suku bunga menjadi faktor penting dalam perhitungan program pensiun. Berdasarkan jenisnya, suku bunga terbagi menjadi dua yakni konstan dan stokastik. Model Vasicek dan Cox Ingersoll Ross (CIR) digunakan untuk menggambarkan dinamika suku bunga stokastik. Hasil penelitian menunjukkan bahwa nilai iuran normal pada metode FIL sama bagi seluruh peserta, tetapi berubah ketika ada peserta yang pensiun. Nilai iuran normal dengan model Vasicek lebih besar daripada model CIR dengan rata-rata sebesar Rp641.467,82 dengan rata-rata rasio 1,3229. Nilai kewajiban aktuaria bersifat dinamis, dipengaruhi oleh karakteristik dan volatilitas suku bunga. Nilai kewajiban aktuaria dengan model Vasicek lebih besar daripada model CIR dengan rata-rata sebesar Rp1.723.509,742 dengan rata-rata rasio 4,1031.
Mengungkap Lanskap Kejahatan Provinsi di Indonesia Tahun 2021: Analisis Perbandingan K-Means dan Logika Fuzzy
Authors: Chofidah Afdatul , Pramana Setia 
Published: December 2024

Tingkat kejahatan Indonesia menunjukkan penurunan yang konsisten mulai tahun 2017-2021. Meskipun demikian, beberapa provinsi memiliki tingkat kejahatan yang melebihi tingkat kejahatan nasional. Hal tersebut disebabkan faktor lokal pada masing-masing provinsi. Penelitian ini bertujuan untuk mengelompokkan provinsi di Indonesia berdasarkan indikator-indikator kejahatan menggunakan metode K-Means dan Fuzzy dalam clustering. Perbandingan hasil klaster dilakukan berdasarkan indeks validitas internal (connectivity, dunn, dan silhouette) dan stabilitas(APN, AD, ADM, dan FOM). Hasil penelitian menunjukkan bahwa metode K-Means lebih unggul dalam membentuk klaster provinsi. Indeks connectivity, dunn, dan silhouette K-Means berturut-turut sebesar 5,657; 0,913; 0,549 sedangkan Fuzzy sebesar 20,216; 0,183;0,223. Dalam hal stabilitas, K-Means memiliki nilai APN 0,011; AD 2,939; ADM 0,071; dan FOM 0,676, sementara Fuzzy memiliki nilai APN 0,011; AD 4,152; ADM 0,060; dan FOM 0,916. Jumlah klaster yang terbentuk adalah 2, dengan klaster 1 terdiri dari 29 provinsi dan klaster 2 terdiri dari 4 provinsi, masing-masing dengan karakteristik yang berbeda.
Analisis Pola Aktivitas Gempa Bumi di Pulau Sumatera dengan Metode K-Means Clustering dan Rantai Markov
Authors: Rahmi Putri Anissa , Muliawati Triyana , Harbowo Danni Gathot 
Published: December 2024

Penelitian ini bertujuan untuk mengidentifikasi dan memahami pola aktivitas gempa bumi di Pulau Sumatera. Dengan menggunakan data magnitudo (mag), kedalaman (depth), dan waktu kejadian gempa (hari ke- dalam satu tahun), penelitian ini memberikan wawasan mendalam tentang distribusi dan karakteristik gempa di wilayah tersebut. Data yang mengandung pencilan (outlier) dideteksi menggunakan visualisasi boxplot, kemudian data diolah lebih lanjut dengan metode k-means clustering untuk mengelompokkan data ke dalam cluster-cluster yang berbeda. Setiap cluster yang terbentuk direpresentasikan sebagai ruang keadaan (state) dalam model markov chain, memungkinkan prediksi pola gempa di masa depan berdasarkan transisi antar state tersebut. Dari hasil penelitian, diperoleh peluang pola aktivitas gempa bumi dengan peralihan keadaan tertinggi untuk magnitudo (mag) yaitu sebesar 0.5339 (dari magnitudo sedang ke sedang), untuk kedalaman (depth) yaitu sebesar 0.7165 (dari kedalaman menengah ke menengah), dan untuk waktu terjadinya gempa yaitu sebesar 0.9942 (dari awal tahun ke awal tahun). Pendekatan ini diharapkan memberikan kontribusi signifikan dalam mitigasi risiko bencana dan perencanaan penanggulangan gempa bumi di Pulau Sumatera.
Studi Perbandingan Performa: Prediksi Status Stunting Pada Anak Berdasarkan Data Antropometri Menggunakan Algoritma Support Vector Machine (SVM) dan K-Nearest Neighbors (KNN)
Authors: Rahmawati Gita , Sanmas Safril Ahmadi , Nudyawati Elsa , Syaharani Nabbila Dyah , Annas Mochamad Raffy , Fauzi Fatkhurokhman 
Published: December 2024

Stunting adalah kondisi gagal tumbuh akibat kekurangan gizi jangka panjang, mengancam kesehatan fisik dan perkembangan kognitif anak. Survei Kesehatan Indonesia (SKI) 2023 mengungkap data prevalensi stunting di Indonesia mencapai 21,5%, jauh dari target 14% yang ditargetkan untuk tahun 2024. Penentuan status stunting secara manual melalui pengukuran berat dan tinggi badan memiliki keterbatasan, seperti ketergantungan pada keterampilan petugas dan kurang efisien untuk populasi besar. Oleh karena itu, teknologi machine learning, seperti Support Vector Machine (SVM) dan K-Nearest Neighbors (KNN), menawarkan solusi inovatif dengan akurasi tinggi. SVM mencari hyperplane terbaik untuk memisahkan data stunting dan non-stunting, sementara KNN mengklasifikasikan data baru berdasarkan kedekatan dengan data yang sudah ada. Penelitian ini bertujuan untuk membandingkan performa SVM dan KNN dalam memprediksi status stunting. Hasil penelitian menunjukkan bahwa SVM dengan menggunakan kernel RBF dan parameter C=10 mencapai akurasi sebesar 97,11%, presisi 97,10%, recall 97,11%, dan F1-score 97,10%. Sementara itu, metode KNN dengan k=1 mencapai akurasi 97,05%, presisi 97,05%, recall 97,05%, dan F1-score 97,05%. Dengan demikian, SVM lebih unggul dalam akurasi dan efisiensi untuk diagnosis stunting dengan memberikan solusi yang lebih tepat, cepat, dan luas dalam menangani permasalahan stunting.
Implementasi Model SI_1 I_2 TR Dinamika Penyakit Tuberkulosis dengan Optimasi Tes Molekuler Cepat (TCM)
Authors: Irfani Muhammad Syifa , Nuraini Nuning 
Published: December 2024

Indonesia merupakan negara peringkat kedua terbanyak kasus TBC setelah India. Semua aspek memiliki harapan yang sama yaitu menekan penyebaran penyakit TBC. Model digunakan untuk merepresentasikan dinamika penyakit Tuberkulosis dengan Optimasi Tes Molekuler Cepat (TCM). Optimasi diberikan untuk mendeskripsikan penempatan alat TCM pada fasilitas kesehatan. Metode Particle Swarm Optimation (PSO) digunakan untuk memperoleh hasil optimasi. Kemudian data penempatan TCM tersebut digunakan untuk melihat dinamika penyebaran penyakit dengan model . Model ini membagi dua populasi terinfeksi yaitu populasi terinfeksi karena tes TCM dan populasi tidak tes TCM. Populasi yang tidak tes TCM ini tidak diketahui dengan pasti apakah terinfeksi atau tidak. Kemudian ditentukan nilai reproduksi dasar untuk melihat kondisi penyebaran penyakit TBC. Data yang digunakan untuk studi kasus adalah data penyebaran penyakit serta kebutuhan alat TCM di daerah kota Bandung. Hasil simulasi diperoleh bahwa adanya proses optimasi TCM mempengaruhi model . Pengaruh tersebut terlihat pada kompartemen terinfeksi dan mengalami penurunan yang lebih cepat serta dan mengalami peningkatan yang lebih cepat dibandingkan tanpa adanya optimasi. Penekanan kasus TBC sangat dipengaruhi oleh optimasi penempatan TCM dan penanganan pengobatan yang sangat efektif dan cepat.
Correlation between admission blood glucose, fibrinogen, and slow blood flow during primary PCI for acute ST segment elevation myocardial infarction
Authors: Zufei Wu , Wentao Su , Chen Shi , Xu Bai Da , Zong Gang Jun , Wu Gang-Yong 
Published: December 2024

BackgroudCoronary slow flow (CSF) is a common phenomenon of coronary microcirculation dysfunction, and is closely related to elevated blood glucose and fibrinogen (FIB) levels. However, whether immediate blood glucose and FIB levels affect coronary blood flow during primary percutaneous coronary intervention (PCI) remains unclear.ObjectiveTo explore the correlation between admission blood glucose (ABG), fibrinogen (FIB) and slow blood flow during primary PCI for acute ST segment elevation myocardial infarction (STEMI).MethodsA total of 497 patients who underwent coronary angiography in the cardiology department of the 904th Hospital of the Joint Logistics Support Force from December 2018 to December 2022 due to STEMI were selected consecutively, and then were divided into two groups based on whether slow blood flow occurred during primary PCI: slow blood flow group (n = 117) and control group (n = 380). Detecting the ABG, FIB and other indicators of patients in each group, and using logistic regression analysis and receiver operating characteristic (ROC) curve to analyze independent risk factors for slow blood flow during primary PCI, and further evaluating the prognosis of patients.ResultsThe levels of ABG and FIB in patients with slow blood flow were significantly higher than those in the control group (P &lt; 0.05). The results of multivariate logistic regression analysis suggested that FIB and ABG were independent risk factors for slow blood flow during primary PCI (both P &lt; 0.05). ROC curve analysis showed that ABG, FIB, and their combination all had predictive value for slow blood flow during primary PCI (all P &lt; 0.05), and the area under the curve (AUC) of the combined indicator was higher than that of any single indicator, with statistical significance (P &lt; 0.05). KM curve analysis suggested that the prognosis of patients in slow blood flow group were poor.ConclusionBoth elevated ABG and FIB could predict slow blood flow during primary PCI, and the diagnostic value of the combined indicator was superior to that of any single indicator, which could be used for the evaluation of slow blood flow during primary PCI, so as to evaluate the prognosis of patients with STEMI.
Analysis of genetic sandbodies and coal seams with coal-bearing of Middle-Lower Jurassic in the Junggar Basin
Authors: Zongquan Yao , Wei Wang , Yong Wang , Zongrui Xie , Xingtao Yang , Fan Yang , Qihao Zhou 
Published: December 2024

IntroductionThe sediment genetic mechanisms have always been an important branch of the “source-sink” system, and it is also a research hotspot.MethodsConglomerate, sandstone, and coal are developed of Middle-Lower Jurassic in the Junggar Basin, and the genetic mechanism is not clear, which restricts further exploration of oilfield. Based on the core carefully, test data, and outcrop sections, Badaowan and Xishanyao formations are analyzed.ResultsFive types of conglomerate lithofacies and sandstone lithofacies, two kinds of mudstone lithofacies, and one type of coal are identified. Based on the structural-genetic mechanism, the debris flow and traction current with conglomerate are developed, and a method of the semi-quantitative identifying index is proposed based on the sedimentary sequence of lithological characteristics, MPS/BTh, and grain size characteristics as the identification criteria. Depending on fluvio-delta, the genetic bodies of the distribution channel, subaqueous distribution channel, mouth bar, braided channel, and overbank sandstone are divided.DiscussionBy integrating structural, paleoclimatic, and sedimentary environment, it was observed that coal in the Badaowan Formation has the characteristics of continuous and stable distribution of thick layers, whereas multiple sets of discontinuous and instable distribution are observed in the in Xishanyao Formation. Finally, the filling model is established, and the superposition and distribution of sandbodies are clarified.
Malaria parasite burden and heterogeneity of risk factors among Central African Republic refugees: a cross-sectional study in the Gado-Badzere refugee camp in Eastern Cameroon
Authors: Nematchoua Weyou Zidedine , Djemna Djieyep Felicite , Ning Teh Rene , Lontsi-Demano Michel , Dieng Cheikh Cambel , Bamou Roland , Lo Eugenia , Kuokuo Kimbi Helen , Ule Ngole Sumbele Irene 
Published: December 2024

BackgroundRefugees are vulnerable populations especially in malaria endemic areas where the disease claims many lives and constitutes an emerging challenge for humanitarian response. This study assessed how the influx and settlement of Central African Republic (CAR) refugees influences malaria burden in the Gado-Badzere refugee camp, Eastern Cameroon.MethodsA cross-sectional malariometric survey was conducted between November 2022 and October 2023 in 324 households comprising 1,304 individuals aged 1 month and above. Malaria parasite burden was determined using rapid diagnostic tests (RDTs) and Giemsa-stained microscopy. Demographic characteristics, malaria risk factors, treatment-seeking behaviors and costs to cure malaria were assessed using semi-structured questionnaires.ResultsOf the 1,304 participants, 525 (40.3%) were malaria parasite positive with moderate geometric mean parasite density (GMPD) of 1100 parasites/μl of blood. Plasmodium falciparum was the main species (99.8%), with mixed P. vivax infections (0.2%). Insecticide treated net (ITN) ownership was 53.7%, but its utilization was significantly low (22.4%) (P &lt; 0.001). Reason for no ITN ownership was net damaged (74.7%). Net insufficiency (77.8%) accounted for non-frequent ITN use. Mean expenditure to treat malaria in the hospital was higher (USD 13.64 ± 8.67) than auto-medication (USD 1.13 ± 1.18). Significantly, malaria parasite prevalence and risk were higher for 0-5 years age (43.7%, OR = 1; P = 0.02), residents of sector 8 (49.2%, OR = 2.53; P &lt; 0.001) of the camp, non-frequent ITN users (41.7%, OR = 2.08; P &lt; 0.001), people living around stagnant water (44.4%, OR = 1.55; P &lt; 0.001) and during the rainy season (43.5%, OR = 1.31; P = 0.02). The GMPD/µl was significantly higher in the 0-5 years age group (1456, P &lt; 0.0001), inhabitants of sector 9 (1626, P = 0.04) and participants living around stagnant water (2097, P = 0.01).ConclusionThe malaria burden in CAR refugees may represent the reservoir for malaria transmission, especially with the circulation of P. vivax. The improper use of ITNs could be ameliorated through sensitization. Seasonal chemoprevention mainly during the rainy season and Indoor Residual Spraying (IRS) might be implemented for effective malaria control in refugee settings.
Abnormal microRNA expression profile at early stages of gestation in pregnancies destined to develop placenta previa
Authors: Hromadnikova Ilona , Kotlabova Katerina , Krofta Ladislav 
Published: December 2024

BackgroundPlacenta previa is the abnormal implantation of the placenta into the lower segment of the uterus, is associated with adverse maternal and fetal outcomes such as placenta accreta spectrum disorders, antepartum and postpartum hemorrhage, fetal growth restriction, prematurity, stillbirth and neonatal death, thrombophlebitis, and septicemia. The aim of the study was to assess retrospectively how the later onset of placenta previa affects the microRNA expression profile in the whole peripheral blood during the first trimester of gestation.MethodsRegarding the occurrence of the association between aberrant microRNA expression profiles at early stages of gestation and later onset of various pregnancy-related complications, we selected for the study pregnancies developing placenta previa as the only pregnancy-related disorder. In total, 24 singleton pregnancies diagnosed with placenta previa that underwent first-trimester prenatal screening and delivered on-site within the period November 2012–May 2018 were included in the study. Overall, 80 normal pregnancies that delivered appropriate-for-gestational age newborns after completing 37 weeks of gestation were selected as the control group based on the equality of the length of biological sample storage.ResultsDownregulation of multiple microRNAs (miR-20b-5p, miR-24-3p, miR-26a-5p, miR-92a-3p, miR-103a-3p, miR-130b-3p, miR-133a-3p, miR-145-5p, miR-146a-5p, miR-155-5p, miR-181a-5p, miR-195-5p, miR-210-3p, miR-342-3p, and miR-574-3p) was observed in pregnancies destined to develop placenta previa. The combination of seven microRNAs (miR-130b-3p, miR-145-5p, miR-155-5p, miR-181a-5p, miR-210-3p, miR-342-3p, and miR-574-3p) showed the highest accuracy (AUC 0.937, p &lt; 0.001, 100.0% sensitivity, 83.75% specificity) to differentiate, at early stages of gestation, between pregnancies with a normal course of gestation and those with placenta previa diagnosed in the second half of pregnancy. Overall, 75% of pregnancies destined to develop placenta previa were correctly identified at 10.0% FPR.ConclusionConsecutive large-scale analyses must be performed to verify the reliability of the proposed novel early predictive model for placenta previa occurring as the only pregnancy-related disorder.
Investigation of the correlation between AGRN expression and perineural invasion in colon cancer
Authors: Chen Lei , Zhang Haijia , Gao Kaiyue , Meng Fanqi , Yang Funing , Li Jiannan , Wang Lijie , Tai Jiandong 
Published: December 2024

Background and PurposeColon cancer is one of the most common gastrointestinal malignancies. According to the traditional view, the primary modes of transmission include direct dissemination, hematogenous metastasis, and lymph node metastasis. In recent years, the role of perineural invasion (PNI) in the spread and metastasis of tumors has received immense attention. However, there are still relatively few reports on the potential mechanisms and biomarkers of PNI occurrence and development in colon cancer.MethodWe identified genes linked to the onset and progression of PNI in colon cancer using bioinformatics tools and extensive databases. Gene function enrichment analysis was used to explore the potential roles of these genes in tumor proliferation, invasion, and PNI. A collection of postoperative pathological specimens from colon cancer patients who underwent surgery, related clinicopathological data, and immunohistochemistry were used to validate AGRN expression in PNI tissues.ResultsBioinformatics analysis revealed that AGRN is overexpressed in colon cancer tissues and correlates with poor patient prognosis. The findings from gene association and enrichment studies indicate that AGRN and its associated genes may play a role in PNI development and progression in colon cancer by simultaneously enhancing tumor cell invasion and neural cell growth. Immunohistochemical analysis of clinical samples confirmed that AGRN expression is elevated in colon cancer tissues with PNI.ConclusionWe found that AGRN is significantly overexpressed in colon cancer tissues exhibiting PNI and is linked to poor patient survival. AGRN and its related genes may contribute to PNI by promoting tumor cell invasion and neural cell growth. Hence, AGRN may play a crucial role in the initiation and progression of PNI in colon cancer.
Circadian rhythm and epilepsy: a nationally representative cross-sectional study based on actigraphy data
Authors: Tang Tianyou , Zhou YuDong , Zhai Xuan 
Published: December 2024

ObjectiveThe study aims to assess the relationship between epilepsy and circadian rhythms.MethodThis study included a cohort of 7,410 participants sourced from the 2013–2014 National Health and Nutrition Examination Survey (NHANES) database. The investigation focused on the comparative analysis of seven nonparametric indices associated with circadian rhythms (Interdaily Stability (IS), Intradaily Variability (IV), Relative Amplitude (RA), L5, M10, L5 start time, and M10 start time) between the overall population and patients with epilepsy. Logistic regression analysis was utilized to assess the potential correlation between the rest-activity circadian rhythm patterns and the presence of epilepsy within the cohort.ResultsCompared to the general population, individuals with epilepsy exhibited lower values of IS and M10. Multivariable logistic regression analysis, when IS, RA, and M10 were categorized into four groups based on quartiles, revealed that the odds ratio (IS: OR = 0.36, 95% CI: 0.13, 0.89; RA: OR = 0.25, 95% CI: 0.06, 0.77; M10: OR = 0.24, 95% CI: 0.06, 0.73) for the highest quartile was lower than that for the lowest quartile. Furthermore, after adjustment for confounding factors, participants in the highest quartile compared to those in the lowest quartile of IV and M10 start time demonstrated a higher prevalence of epilepsy.ConclusionIndividuals with epilepsy demonstrate significant alterations in circadian rhythms.
Quantifying the split-elbow sign: a comprehensive study in amyotrophic lateral sclerosis
Authors: He Sheng-Yi , Cai Wei-Chen , Su Wei-Ming , Duan Qing-Qing , Jiang Zheng , Yin Kang-Fu , Gu Xiao-Jing , Chen Yong-Ping , Cao Bei 
Published: December 2024

PurposeThe split-elbow sign (SES), characterized by preferential dysfunction of the biceps brachii compared to the triceps, is a clinical feature observed in amyotrophic lateral sclerosis (ALS). However, the quantified SES index has not been extensively investigated, and its role in diagnosing ALS remains unknown. Therefore, this study aimed to investigate the split-elbow index (SEI) derived from compound muscle action potential (CMAP), motor unit number index (MUNIX), and echo intensity (EI) in ALS.MethodsA cohort comprising 70 individuals diagnosed with ALS, along with 41 disease controls and 40 healthy controls, was recruited for the study. The SEI was calculated by dividing the recorded values of CMAP, MUNIX, and EI obtained over the biceps brachii by the corresponding value measured in the triceps, resulting in SEICMAP, SEIMUNIX, and SEIEI, respectively. Receiver operating characteristic (ROC) curves of the three methods were used for comparison. Statistical analyses were performed using SPSS V.26.0 and R software.ResultsBoth SEICMAP and SEIMUNIX exhibited significant reductions in ALS patients compared to that in controls (PSEICMAp &lt; 0.0001, PSEIMUNIX &lt; 0.0001), while SEIEI showed an elevation (P &lt; 0.0001). Furthermore, there was a notable decrease in SEIMUNIX values as the disease progressed (p &lt; 0.001). Moreover, ROC for SEIMUNIX exhibited superior diagnostic performance (AUC = 0.846), and a comprehensive diagnostic approach combining SEICMAP, SEIMUNIX, and SEIEI resulted in AUC (0.90) on the ROC curve.ConclusionOur study suggested that SES has emerged as a significant clinical characteristic in ALS and indicated the potential of SES indicators as biomarkers for both diagnosis and assessment of disease progression in ALS.
CT-based habitat radiomics for predicting treatment response to neoadjuvant chemoimmunotherapy in esophageal cancer patients
Authors: Kong Weibo , Xu Junrui , Huang Yunlong , Zhu Kun , Yao Long , Wu Kaiming , Wang Hanlin , Ma Yuhang , Zhang Qi , Zhang Renquan 
Published: December 2024

IntroductionWe used habitat radiomics as an innovative tumor biomarker to predict the outcome of neoadjuvant therapy for esophageal cancer.MethodsThis was a two-center retrospective clinical study in which pretreatment CT scans of 112 patients with esophageal cancer treated with neoadjuvant chemoimmunotherapy and surgery between November 2020 and July 2023 were retrospectively collected from two institutions. For training (n = 85) and external testing (n = 27), patients from both institutions were allocated. We employed unsupervised methods to delineate distinct heterogeneous regions within the tumor area.ResultsTo represent the prediction effect of different models, we plotted the AUC curves. The AUCs of the habitat models were 0.909 (0.8418–0.9758, 95% CI) and 0.829 (0.6423–1.0000, 95% CI) in the training and external test cohorts, respectively. The AUCs of the nomogram models were 0.914 (0.8483–0.9801, 95% CI) and 0.849 (0.6752–1.0000, 95% CI) in the training and external test cohorts, respectively.DiscussionThe results revealed that the model based on habitat data outperforms traditional radiomic analysis models. In addition, when the model is combined with clinical features, it improves the predictive accuracy of pathological complete response in patients undergoing neoadjuvant chemoimmunotherapy.