Creative occupations as knowledge practices: Innovation and precarity in the creative economy by Hearn Greg

“…The ARC Centre of Excellence in Creative Industries and Innovation (herewith CCI) was established with two simple policy objectives. …”
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La convivencia vecinal en unidades residenciales de Cali, Colombia. Un análisis cualitativo con modelo multidimensional by María Teresa Rincón-Salazar

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Crecer en movimiento. Abordaje etnográfico del desarrollo infantil en comunidades Mbya (Argentina) by Carolina Remorini

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Hydrogen and hydrogen sulphide in volcanic gases: abundance, processes, and atmospheric fluxes by Aiuppa, Alessandro, Moussallam, Yves

“…The high H$_{2}$ concentrations (and low H$_{2}$S/SO$_{2}$ compositions, of ${\sim }$0.1 on average) in high-temperature (${>}$1000 °C) magmatic gases are overall consistent with those predicted thermodynamically assuming external redox buffering operated by the coexisting silicate melt, at oxygen fugacities ranging from ${\Delta }$FMQ $-$1 to 0 (non-arc volcanoes) to ${\Delta }$FMQ 0 to ${+}$2 (arc volcanoes) (where ${\Delta }$FMQ is oxygen fugacity expresses as a log unit difference relative to the Fayalite–Magnetite–Quartz oxygen fugacity buffer). …”
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Impact of hepatic steatosis on the efficacy of antiviral treatment for chronic hepatitis B and the establishment of predictive model: a cohort study by Guanghui Ren, Kaining Jia, Shi Yin, Yunpeng Guan, Qingwei Cong, Ying Zhu

“…KM survival analysis demonstrated that the CHB + MASLD group was more likely to achieve HBsAg response (HR = 2.428, p = 0.039).COX regression analysis identified age (HR = 0.948, p = 0.005), antiviral regimen (NAs + PEG IFNα: HR = 5.33, p < 0.001; PEG IFNα: HR = 1.099, p = 0.93), baseline HBsAg level (HR = 0.648, p = 0.009), and MASLD presence (HR = 3.321, p = 0.002) as independent predictors for HBsAg response. Time-ROC analysis showed that these factors effectively predicted HBsAg decline (24 weeks: AUC = 0.902; 48 weeks: AUC = 0.890). …”
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Analisa Sentimen Financial Technology Peer To Peer Lending Pada Aplikasi Koinworks by Rousyati Rousyati, Windu Gata, Dany Pratmanto, Nia Kusuma Wardhani

“…The benefits of this research are to help the management of Koinworks applications regarding positive or negative opinions of application users and can provide empirical evidence for related theories so that they can be contributed to the development of subsequent theories. SVM algorithm with Cross Validation + Parameter Optimization produces Accuracy 91.03% of the highest precision with 96.73 %%, 85.34% recall and the highest AUC of 0.986 which is included in excellent classification. …”
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Electrical and Viscoelastic Parameters of Erythrocytes as a Part of Diagnostic Models for Differentiating Fatty Liver Disease of Mixed Genesis from Non-Alcoholic and Alcohol-Relate... by M. V. Kruchinina, M. F. Osipenko, M. V. Parulikova, A. A. Gromov

“…In differentiating FLD of mixed genesis from NAFLD, a diagnostic model incorporating the above red blood cells parameters has provided an AUC of 0.829 (confidential interval: 0.742–0.916), sensitivity of 80.9 %, and specificity of 83.3 %. …”
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Analisis Sentimen Wacana Pemindahan Ibu Kota Indonesia Menggunakan Algoritma Support Vector Machine (SVM) by Primandani Arsi, Retno Waluyo

“…Berdasarkan hasil pengujian yang dilakukan terhadap tweets sentimen pemindahan ibu kota dari media sosial twitter sebanyak 1.236 tweets (404 positif dan 832 negatif) menggunakan SVM diperoleh akurasi =96,68%, precision=95.82%, recall=94.04% dan AUC = 0,979.   …”
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Penyeimbangan Kelas SMOTE dan Seleksi Fitur Ensemble Filter pada Support Vector Machine untuk Klasifikasi Penyakit Liver by Muhammad Amir Nugraha, Muhammad Itqan Mazdadi, Andi Farmadi, Muliadi, Triando Hamonangan Saragih

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Hybridization of DEBOHID with ENN algorithm for highly imbalanced datasets by Sedat Korkmaz

“…Three classifiers were used in the study: Support Vector Machines (SVM), Decision Tree (DT), and K-nearest Neighbor (kNN), and reported their G-mean and Area Under Curve (AUC) values. …”
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Mechanism of modified mRNA structure in COVID-19 vaccines for inducing neutralizing antibodies by Sabighoh Zanjabila, Beti Ernawati Dewi

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Characterization of visual cognition in pre-manifest, manifest and reduced penetrance Huntington’s disease by Rocio Del Pino, Maria Ángeles Acera, Amaia Ortiz de Echevarrría, Beatriz Tijero, Marta Ruiz-Lopez, Johanne Somme, Javier Ruiz-Martínez, Andrea Gabilondo, Ioana M. Croitoru, Lara Pardina, Naia Ayo-Mentxakatorre, Ane Murueta-Goyena, Iñigo Gabilondo, Rosario Sanchez-Pernaute, Tamara Fernández-Valle, Juan Carlos Gómez Esteban

“…In pre-manifest HD, visual cognitive domains were primarily influenced by executive function, verbal fluency, age, and CAG repeats, while in early and manifest stages motor status and verbal fluency becomes more influential. ROC analyses showed that especially visuospatial abilities, visual memory, and visual attention (AUC = 0.927, 0.878, 0.874, respectively) effectively differentiated HC and pre-manifest from early and manifest HD. …”
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An Enhanced LSTM Approach for Detecting IoT-Based DDoS Attacks Using Honeypot Data by Arjun Kumar Bose Arnob, M. F. Mridha, Mejdl Safran, Md Amiruzzaman, Md. Rajibul Islam

“…We tested the efficacy of the proposed system on a real-world IoT-DH dataset, which showed a remarkable accuracy of 99.41%, with an AUC score of 0.9999. A comparative analysis with other baseline models, such as LSTM, Bidirectional LSTM (Bi-LSTM), Gated Recurrent Unit (GRU), Recurrent Neural Network (RNN), Feedforward Neural Network (FNN), and Temporal Convolutional Network (TCN), proved that enhanced LSTM outperformed the other models. …”
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Potential Risks of PM2.5 in Urban and Suburban Environments: A Dual Perspective on Chemical Constituents and Pollution Sources by Huarui Ren, Xiongping Wu, Wenchang Zhao, Jinping Cheng

“…The positive matrix factorization (PMF) receptor model and the analysis of absolute principal component scores-multiple linear regression (APCS-MLR) revealed that mixed sources and vehicle exhaust were significant contributors in both suburban and urban areas. …”
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Defining Nocturnal Polyuria in Adolescents by Tasmia Promi, Anthony Brooks, Gulzhan Tologonova, Marie-Claire Roberts, Sarita Dhuper, Meseret Tena, Oluwatoyin Bamgbola, Monique Hanono, Jeffrey P. Weiss, Karel Everaert, Tine DeBacker, Thomas F. Monaghan, Louis Salciccioli, Stephen Wadowski, Elka Jacobson-Dickman, Jason M. Lazar

“…On ROC, the area under curve (AUC) was 0.85. On multivariable logistic regression with variables of sex, obesity, and elevated blood pressure, adding NUP as a categorical variable maximally increased the predictive value of the model upon utilizing a cutoff of 50 ml/h, increasing the R2 from 0.491 to 0.683. …”
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Algoritma K-Nearest Neighbor pada Kasus Dataset Imbalanced untuk Klasifikasi Kinerja Karyawan Perusahaan by Fitri Nuraeni, Dede Kurniadi, Moch Haiqal Diazki

“…Model ini juga memiliki kurva ROC yang baik yang hampir menyentuh sudut kiri atas dan nilai AUC sebesar 94,1% atau 0,94 yang termasuk ke dalam kategori excellent. …”
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Biological age model using explainable automated CT-based cardiometabolic biomarkers for phenotypic prediction of longevity by Perry J. Pickhardt, Michael W. Kattan, Matthew H. Lee, B. Dustin Pooler, Ayis Pyrros, Daniel Liu, Ryan Zea, Ronald M. Summers, John W. Garrett

“…The CT model significantly outperforms standard demographic data for predicting longevity (IPA = 29.2 vs. 21.7; 10-year AUC = 0.880 vs. 0.779; p < 0.001). …”
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CMIP6-based global estimates of future aridity index and potential evapotranspiration for 2021-2060 [version 2; peer review: 1 approved, 2 approved with reservations] by Jianchu Xu, Robert J. Zomer, Antonio Trabucco, Donatella Spano

“…Historical results were compared for technical validation with weather station data (PET: r 2 = 0.72; AI: r 2 = 0.91) and the CRU_TS v 4.04 dataset (PET: r 2 = 0.67; AI: r 2 = 0.80). …”
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Geographical origin traceability of kiwifruit products using stable isotope and multi-element analysis with multivariate modeling: Feature extraction, selection of model and variab... by Wang Shuanhui, Chen Chang, Tian Jing, Liu Zhi, Mei Xianxian, Zhou Jialu, Wang Dongguang, Zhu Shaohua

“…Lu, Tb, Eu, Ho, Pm, Y, δ34S, δ2H, δ15N, Mg, Se were main contributive variables for LDA modeling (AUC value >0.5). A blind test was conducted using 63 samples randomly selected from Chinese market. …”
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Predicting roadkill: a regional-scale model for the Northern Tamandua integrating environmental and road characteristics by Silvio Boyat, Esmeralda Arévalo-Huezo

“…The final model had an excellent predictive performance (AUC = 0.989) and identified 108.7 km of road sections throughout the region as high risk, mainly found on primary roads. …”
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