bluuebunny/crossref_metadata_2025_split huggingface dataset:
UJI GOODNESS OF FIT DISTRIBUSI GAMMA TERBOBOTI DENGAN STATISTIK KOLMOGOROV-SMIRNOV UNTUK PARAMETER TERESTIMASI
Authors: Mardiyah Radiyatul , Somayasa Wayan , Budiman Herdi , Kabil Djafar Muhammad , Sahupala Rahmalia 
Published: April 2023

Distribusi gamma terboboti merupakan versi bobot dari distribusi gamma. Tujuan dari penelitian ini adalah untuk menurunkan model uji goodness of fit dengan statistik Kolmogorov-Smirnov untuk distribusi gamma terboboti. Menentukan distribusi limit statistik Kolmogorov-Smirnov dibawah yaitu diturunkan proses limit dari proses empiris dengan asimtotik. Akan ditunjukkan konsistensi dari statistik uji Kolmogorov-Smirnov secara analitik dan menggunakan simulasi Monte-Carlo. Kuantil-kuantil dari statistik Kolmogorov-Smirnov dihampiri menggunakan simulasi Monte-Carlo untuk menetukan nilai kritis terhadap pengujian hipotesis dimana menolak pada berbagai tingkat signifikansi jika . Hasil perhitungan fungsi power dari satatistik uji Kolmogorov-Smirnov, Cramer-Von Mises, dan Anderson-Darling menggunakan distribusi eksponensial dan distribusi Weibull untuk berbagai dan dengan dan adalah . Jadi dengan nilai power yang maksimal tersebut menunjukkan bahwa ketiga uji mempunyai kemampuan yang tinggi untuk mendeteksi yang salah. Selanjutnya, dilakukan penerapan uji Kolmogorov-Smirnov untuk mengetahui apakah data waktu (dalam hari) kelangsungan hidup marmut yang terinfeksi basil tuberkulum virulen yang digunakan berasal dari populasi yang berdistribusi gamma terboboti. Diperoleh hasil pengujian bahwa data berasal dari distribusi gamma terboboti.
ESTIMASI PARAMETER DISTRIBUSI GAMMA DIPERUMUM UNTUK SAMPEL TERSENSOR TIPE II DAN TIPE I
Authors: Sahapati Eka , Somayasa Wayan , Budiman Herdi , Kabil Djafar Muhammad 
Published: April 2023

Analisis uji hidup merupakan salah satu kumpulan dari prosedur statistika untuk analisis data dimana variabelnya adalah waktu sampai terjadinya kejadian. Tujuan penelitian ini adalah mendapatkan penduga dari distribusi Gamma diperumum untuk sampel tersensor tipe II dan tipe I.Estimasi parameter adalah pendugaan karakteristik populasi (parameter) dengan menggunakan karakteristik sampel (statistik).Dalam penelitian ini, untuk mengestimasi parameter digunakan metode maksimum likelihood. Karena turunan pertama fungsi log-likelihood nonlinear, tidak dapat diselesaikan secara analitik, maka dilakukan pendekatan numerik yaitu dengan metode Newton-Raphson.Dengan menggunakan software R, untuk sampel tersensor tipe II menggunakan data waktu hidup marmut diperoleh , dan . Untuk sampel tersensor tipe I menggunakan data waktu kegagalan sistem pendingin udara pesawat terbang diperoleh , dan .
ANALISIS SENTIMEN MASYARAKAT TERHADAP TOKO ONLINE APLIKASI SHOPEE MENGGUNAKAN METODE MULTINOMIAL NAÏVE BAYES
Authors: Sanrilla Sanrilla , Ransi Natalis , La Surimi La Surimi , Andi Tenriawaru Andi Tenriawaru , La Ode Saidi La Ode Saidi 
Published: April 2023

Analisis sentimen masyarakat terhadap toko online pada aplikasi shopee menggunakan metode Multinomial Naïve Bayes. Tujuan penelitian ini adalah untuk mengetahui tingkat sentimen masyarakat dari ulasan produk yang ada pada toko online 3second dalam aplikasi shopee dengan menggunakan metode Multinomial Naïve Bayes. Analisis ulasan secara mudah dapat dilakukan dengan melihat jumlah bintang yang diberikan oleh pembeli, tetapi jumlah bintang tidak dapat mewakili isi dari keseluruhan ulasan. Diperlukan melihat seluruh isi komentar ulasan untuk dapat mengetahui keseluruhan maksud ulasan. Sangat mungkinkan untuk menganalisis ulasan secara manual dengan melihat satu persatu, namun apabila ulasan yang dimiliki banyak akan lebih cepat menggunakan sistem analisis sentimen dengan cara melakukan teknik kalsifikasi. Algoritma Multinomial Naïve Bayes adalah pengembangan dari Naïve Bayesyang digunakan dalam pembuatan analisis sentiment, karena algoritma ini bertujuan untuk mode klasifikasi dalam kategori positif dan negatif. Berdasarkan hasil pengujian yang dilakukan metode Multinomial Naïve Bayes terbukti berfungsi baik pada penelitian ini. Hal ini dibuktikan dengan hasil confusion matrixdari pengujian klasifikasi sistem dan klasifikasi dari ahli bahasa mendapat nilai akurasi 91% dan memperoleh tingkat sentiment yang dibukti hasil recall dan precision yang bernilai 65.93% dan 60% untuk kelas positif, sedangkan untuk kelas negatif bernilai 34.06% dan 31%.
ANALISIS REGRESI DATA PANEL PADA FAKTOR-FAKTOR YANG MEMPENGARUHI TINGKAT KEMISKINAN SULAWESI TENGGARA TAHUN 2017-2020
Authors: Hijrawati Hijrawati , Adi Wibawa Gusti , Yahya Irma , Baharuddin Baharuddin , Arviana Rahman Gusti , Agusrawati Agusrawati 
Published: April 2023

Tingkat kemiskinan adalah persentase jumlah penduduk yang berada di bawah garis kemiskinan. Tingkat kemiskinan yang tinggi memberikan dampak negatif bagi pembangunan ekonomi negara. Sulawesi Tenggara merupakan salah satu provinsi yang ada di Indonesia dan juga mengalami masalah kemiskinan. oleh karena itu, dalam penelitian ini membahas tentang analisis regresi data panel pada faktor-faktor yang mempengaruhi tingkat kemiskinan Provinsi Sulawesi Tenggara tahun 2017-2020. Penelitian ini dilakukan dengan tujuan untuk mengetahui faktor-faktor yang mempengaruhi tingkat kemiskinan Provinsi Sulawesi Tenggara tahun 2017-2020 menggunakan analisis regresi data panel. Analisis regresi data panel merupakan gabungan antara data cross section dan data time series. Model regresi data panel yang diperoleh dari estimasi Generalized Least Square yaitu dengan pendekatan random effect model. Hasil penelitian menunjukan bahwa variabel rata-rata lama sekolah dan tingkat pengangguran terbuka berpengaruh signifikan terhadap tingkat kemiskinan (Y) di Provinsi Sulawesi Tenggara tahun 2017-2020.
PROFIL PENGGUNA ALAT KONTRASEPSI DI PROVINSI SULAWESI TENGGARA DENGAN ALGORITMA K-MEANS TERORGANISIR
Authors: Lapandewa Asti , Agusrawati Agusrawati , Adi Wibawa Gusti , Abapihi Bahriddin , Baharuddin Baharuddin 
Published: April 2023

Tujuan penelitian ini adalah untuk mengetahui profil pengguna alat kontrasepsi berdasarkan kabupaten/kota di Provinsi Sulawesi Tenggara, karena pengguna alat kontasepsi yang bervariasi atau berbeda beda di setiap kabupaten/kota, maka untuk mengatasinya dibutuhkan metode dalam menganalisis data pengguna alat kontrasepsi. Salah satu metode yang dapat digunakan adalah penggerombolan. Pada penelitian ini diterapkan metode penggerombolan dengan algoritma K-Means terorganisir. Hasil penggerombolan terbaik adalah algotirma pautan tunggal dengan K-Means dengan banyaknya gerombol ialah 3 gerombol berdasarkan Bayesian Information Criterion (BIC). Gerombol 1 termasuk dalam pengguna alat kontrasepsi rendah berisi 12 Kabupaten/Kota yaitu Buton, Bombana, Wakatobi, Kolaka Utara, Buton Utara, Konawe Utara, Kolaka Timur, Konawe Kepulauan, Muna Barat, Buton Tengah, Buton Selatan, Kota Bau-Bau, Gerombol 2 termasuk pengguna alat kontrasepsi sedang berisi 3 Kabupaten/Kota yaitu Konawe, Kolaka, Konawe Selatan dan gerombol 3 termasuk pengguna alat kontrasepsi tinggi berisi 2 Kabupaten/Kota yaitu Muna dan Kota Kendari.
Staten, marknaden och industripolitikens återupprättelse: Visioner om transportsystemets klimatomställning, 2006-2022
Authors: Haikola Simon , Anshelm Jonas 
Published: April 2023

Trots upprepade politiska utfästelser om att transportsystemet ska bli fossilfritt har dess omställning gått trögt. Det har länge funnits en påtaglig kontrast mellan visionerna för transportsystemets omställning och de faktiskt vidtagna åtgärderna. De dominerande förklaringarna till denna kontrast, liksom föreställningarna om vad som kan göras, har skiftat över tid och beroende på vilken regering som suttit vid makten. I grunden kretsar de emellertid alltid kring samma frågor: Hur väl rustat är det svenska planeringssystemet för att genomföra en fundamental omställning av transporterna? I vilken omfattning kräver transportsystemets omställning en mer djupgående förändring av samhället? Vilken roll bör stat och marknad ha i transportsystemets omställning? I denna bok skildrar vi hur den offentliga diskussionen om transportsystemet förändrats under de fyra olika regeringar som suttit vid makten mellan 2006-2022. Genom att följa formuleringen av politiska visioner i statliga utredningar och hur dessa visioner diskuterats i den offentliga debatten visar vi hur en period av utpräglat marknadsliberal politik utmanas av klimatkeynesianistiska idéer. Samtidigt har hela undersökningsperioden karakteriserats av betydande institutionella låsningar.
Comparison of percutaneous closure systems for large bore vascular access sites in endovascular procedures
Authors: Košak Luka , Lulić Davorka , Jakljević Tomislav , Gobić David , Aničić Josip , Tomulić Vjekoslav 
Published: April 2023

BackgroundsThe vascular closure device (VCD) is a medical device used for achieving hemostasis of vascular access sites greater than 8 Fr. We compared complications after placement of Perclose ProGlide (Abbott Vascular, USA), a percutaneous suture-mediated closure system, with MANTA VCD (Teleflex Vascular, USA), a collagen-based closure device.MethodsThis retrospective cohort study analyzed procedures performed between 2016 and 2021. We compared the incidence of bleeding complications according to the Bleeding Academic Research Consortium (BARC) and Valve Academic Research Consortium-3 (VARC-3) criteria. The comparison was made between two cohorts of patients: in the first, vascular access sites were closed with a double Perclose ProGlide system, and in the second with an 18 Fr MANTA VCD.ResultsA total of 189 patients were included in the study, out of which 63% were male and 37% were female, with a median age of 79 (72–83) years. All devices were used for femoral arterial access closure. A double Perclose ProGlide was used in 91 (48%) patients, while MANTA VCD was used in 98 patients (52%). The distribution of patients by VARC-3 and BARC bleeding criteria differs between groups (p = 0.017). A significantly higher incidence of VARC 1 (14% vs. 4%; p = 0.020) and BARC 1–2 (14% vs. 4%; p = 0.020) complications in the Perclose ProGlide cohort was observed. VARC 3 (1% vs. 5%; p = 0.213) and BARC 3b (1% vs. 5%; p = 0.213) complications showed higher, but statistically non-significant rates of major bleeding complications in the MANTA VCD cohort. The need for subsequent surgical revision did not show a significant difference between the cohorts (2% vs. 6%; p = 0.281).ConclusionThe Perclose ProGlide cohort was associated with a significantly higher rate of milder complications. MANTA VCD cohort had a higher rate of major bleeding complications, requiring more complex treatment with a potentially larger impact on quality of life.
Sulfate reduction and homoacetogenesis at various hypersaline conditions: Implications for H2 underground gas storage
Authors: Schwab Laura , Prinsen Lilian , Nowack Guido , Popp Denny , Noll Matthias , Vogt Carsten , Wagner Martin 
Published: April 2023

While interest in underground gas storage (UGS) of hydrogen (H2) in salt caverns is increasing in a growing H2 economy, knowledge of the microbial communities inhabiting those hypersaline environments is still scarce. High salt concentrations and limited availability of carbon (C) sources in cavern environments reduce microbial growth rates and metabolic activities. Growth conditions potentially change once H2 is stored in salt caverns. H2 is a universal electron donor that can facilitate autotrophic growth and subsequently growth of heterotrophs. In this study, a mixed culture enriched from hypersaline UGS sites was investigated in microcosm experiments with H2 atmosphere, testing the effect of different salt concentrations and C sources on methanogenesis, sulfate reduction and homoacetogenesis. Sulfate, acetate and lactate concentrations were quantified throughout a time span of 125 days of incubation and correlations with the microbial community structure and function were explored through 16S rRNA gene-based amplicon sequencing at the end of the experiment. Many of the amplicon sequence variants (ASVs) were only assigned to family or order level, reflecting that a large number of ASVs belong to previously undescribed taxa. At 4.4 M NaCl, close to cavern brine salinity, members of the Desulfovibrionales were absent when no C source other than CO2 was offered as the sole C source. This is in line with the finding that no sulfate reduction occurred at these conditions. Acetogenic Halanaerobiia dominated in these high salinity levels. Based on metagenome sequencing of four selected samples, we found that acetogenesis at autotrophic conditions relies on the activity of a halophilic homoacetogen, Acetohalobium sp. and that sulfate reduction can most likely be associated with a so far undescribed member of the Desulfonatronovibrionales. We further discuss the discrepancy between sulfate reduction at heterotrophic conditions, while no sulfate reduction was observed under autotrophic conditions although acetate was produced through the homoacetogenic activity of Acetohalobium. For the application of UGS of H2, this means that the presence and activity of the aforementioned microorganisms must be investigated, as they can eventually lead to the formation of acetate and allow sulfate reduction at relevant concentrations.
Morphological variation across space does not predict phenotypic change through time in two Neogene planktonic foraminifera species
Authors: Brombacher Anieke , Wilson Paul A. , Bailey Ian , Ezard Thomas H. G. 
Published: April 2023

IntroductionLines of least resistance, or the direction of maximum phenotypic variation, are reliable predictive tools for directions of evolutionary divergence through time. However, the consistency of trait covariation patterns through space, i.e. in different populations of the same taxa inhabiting different environmental settings, remains poorly established.MethodsTo test whether the predicted direction of evolutionary change is the same through time as it is across space, we compare within- and among-population trait covariation patterns across six Atlantic populations of two planktonic foraminifera species. Our study interval is 600,000 years long, spans the Neogene/Quaternary boundary and includes Earth’s most recent major natural shift in global climate state: the intensification of Northern Hemisphere Glaciation.ResultsWe show that, despite powerful global temporal changes in climate, there is a strong spatial signal in the evolutionary response. Population-specific trait covariation slopes vary among sites, climate phases and core/edge position within the species’ biogeographic range.DiscussionOur results imply that the direction of expected evolutionary change does not align across populations. This suggests that trait covariation patterns in the study species are driven by adaptation to local environmental settings rather than species-wide constraints. Single populations should therefore not be used to predict the response of other populations, even if they are faced with similar environmental conditions. We caution against using individual populations to project future response of other/global populations unless the underlying mechanism for trait covariation is shown to be universal.
Identification of new immune subtypes of renal injury associated with anti-neutrophil cytoplasmic antibody–associated vasculitis based on integrated bioinformatics analysis
Authors: Lin Lizhen , Ye Keng , Chen Fengbin , Xie Jingzhi , Chen Zhimin , Xu Yanfang 
Published: April 2023

Background: Anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV) is a systemic autoimmune disease that may lead to end-stage renal disease. However, few specifific biomarkers are available for AAV-related renal injury. The aim of this study was to identify important biomarkers and explore new immune subtypes of AAV-related renal injury.Methods: In this study, messenger RNA expression profiles for antibody-associated vasculitis and AAV-associated kidney injury were downloaded from the Gene Expression Omnibus database. Weighted gene co-expression network analysis (WGCNA) was performed to identify the most relevant module genes to AAV. Key module genes from WGCNA were then intersected with AAV- and nephropathy-related genes from the Genecards database to identify key genes for AAV-associated kidney injury. Subsequently, the expression of key genes was validated in independent datasets and the correlation of genes with clinical traits of kidney injury was verified by the Nephroseq database. Finally, non-negative matrix factorization (NMF) clustering was performed to identify the immune subtypes associated with the key genes.Results: Eight co-key genes (AGTR2, ANPTL2, BDKRB1, CSF2, FGA, IL1RAPL2, PCDH11Y, and PGR) were identifified, and validated the expression levels independent datasets. Receiver operating characteristic curve analysis revealed that these eight genes have major diagnostic value as potential biomarkers of AAV-related renal injury. Through our comprehensive gene enrichment analyses, we found that they are associated with immune-related pathways. NMF clustering of key genes identified two and three immune-related molecular subtypes in the glomerular and tubular data, respectively. A correlation analysis with prognostic data from the Nephroseq database indicated that the expression of co-key genes was positively co-related with the glomerular filtration rate.Discussion: Altogether, we identifified 8 valuable biomarkers that firmly correlate with the diagnosis and prognosis of AAV-related renal injury. These markers may help identify new immune subtypes for AAV-related renal injury.
Identification of cuproptosis-associated subtypes and signature genes for diagnosis and risk prediction of Ulcerative colitis based on machine learning
Authors: Tang Dadong , Pu Baoping , Liu Shiru , Li Hongyan 
Published: April 2023

BackgroundUlcerative colitis (UC) is a chronic and debilitating inflammatory bowel disease that impairs quality of life. Cuproptosis, a recently discovered form of cell death, has been linked to many inflammatory diseases, including UC. This study aimed to examine the biological and clinical significance of cuproptosis-related genes in UC.MethodsThree gene expression profiles of UC were obtained from the Gene Expression Omnibus (GEO) database to form the combined dataset. Differential analysis was performed based on the combined dataset to identify differentially expressed genes, which were intersected with cuproptosis-related genes to obtain differentially expressed cuproptosis-related genes (DECRGs). Machine learning was conducted based on DECRGs to identify signature genes. The prediction model of UC was established using signature genes, and the molecular subtypes related to cuproptosis of UC were identified. Functional enrichment analysis and immune infiltration analysis were used to evaluate the biological characteristics and immune infiltration landscape of signature genes and molecular subtypes.ResultsSeven signature genes (ABCB1, AQP1, BACE1, CA3, COX5A, DAPK2, and LDHD) were identified through the machine learning algorithms, and the nomogram built from these genes had excellent predictive performance. The 298 UC samples were divided into two subtypes through consensus cluster analysis. The results of the functional enrichment analysis and immune infiltration analysis revealed significant differences in gene expression patterns, biological functions, and enrichment pathways between the cuproptosis-related molecular subtypes of UC. The immune infiltration analysis also showed that the immune cell infiltration in cluster A was significantly higher than that of cluster B, and six of the characteristic genes (excluding BACE1) had higher expression levels in subtype B than in subtype A.ConclusionsThis study identified several promising signature genes and developed a nomogram with strong predictive capabilities. The identification of distinct subtypes of UC enhances our current understanding of UC’s underlying pathogenesis and provides a foundation for personalized diagnosis and treatment in the future.
Downregulated ESRP1/2 promotes lung metastasis of bladder carcinoma through altering FGFR2 splicing and macrophage polarization
Authors: Zhao Yuyang , Li Mingyang , Wu Wenbo , Miao Wenhao , Liu Haitao 
Published: April 2023

IntroductionLung metastasis occurs in parts of the bladder carcinoma (BC) patients but represents the highest severity and a poor outcome of the disease. The molecular mechanism underlying lung metastasis of BC is not fully understood. Fibroblast growth factor receptor 2 (FGFR2) signaling plays a substantial role in the BC cell growth and invasion. In this study, we assessed the regulation of the alternative splicing of FGFR2 by epithelial splicing regulatory proteins (ESRPs) in lung metastasis of BC.MethodsGene profile of BC in comparison with adjacent non-tumor bladder tissue was obtained from GEO public database to analyze the levels of differentiated genes and pathways. Moreover, the association of ESRP1 or ESRP2 with lung metastasis of BC was analyzed on our own clinic samples. The effects of altered expression of ESRP1 or ESRP2 on alternative splicing of FGFR2 IIIb and IIIc, which represents epithelial and mesenchymal-like splicing, were analyzed on BC cell lines T24 and RT4. The in vivo effects of ESRP1 or ESRP2 on lung metastasis of BC were assessed in mice subcutaneously grafted with ESRP1/2-modified BC labeled with fluorescent and luciferase reporters.ResultsWe detected significant reduction of ESRP1 and ESRP2 in BC in public database of BC specimens. Moreover, analysis on our own specimens also showed strong downregulation of ESRP1 or ESRP2 in BC, and the latter was more pronounced in cases with lung metastasis. In vitro, altered levels of ESRP1 or ESRP2 caused a switch of FGFR2 splicing between FGFR2-IIIb and FGFR2-IIIc, resulting in changes in tumor cell growth and metastatic potential. In vivo, re-expression of ESRP1 or ESRP2 in BC cells not only inhibited the growth of the xenografted tumor formation in nude mice, but also reduced the occurrence of lung metastasis, partially through altering polarization of tumor-associated macrophages.ConclusionOur data thus suggest that reduction in ESRP1 or ESRP2 promotes lung metastasis of BC through altering FGFR2 splicing and macrophage polarization.