Culture et changement urbain dans les Quartiers Sud de Buenos Aires (Argentine) : des arènes ambiguës by Barbara Morovich

“…This work focuses on the liveliness of these arenas, the patience of their actors, their resistance, their ability to slow down the process of gentrification, through long-term challenges. …”
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A Novel Approach for Testing Fractional Cointegration in Panel Data Models with Fixed Effects by Saidat Fehintola Olaniran, Oyebayo Ridwan Olaniran, Jeza Allohibi, Abdulmajeed Atiah Alharbi

“…Specifically, we develop a test statistic that accommodates variation in the long-term cointegrating vectors and fractional cointegration parameters across observational units. …”
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Projeção do Brasil no Atlântico Sul: geopolítica e estratégia by Wanderley Messias da Costa

“…The inflections in the course of development of the country toward the South Atlantic in the last 30 years express the combination of vectors of broad spectrum and long lasting. This achievement has been processed by the successful implementation of a strategy that combines continuous actions in the diplomatic field, the national research effort in the broad area of marine sciences and investments aimed at strengthening the country's military capability to face challenges in Security & Defense in general and in the South Atlantic in particular.…”
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In situ airborne measurements of atmospheric parameters and airborne sea surface properties related to offshore wind parks in the German Bight during the project X-Wakes by A. Lampert, R. Hankers, T. Feuerle, T. Rausch, M. Cremer, M. Angermann, M. Bitter, J. Füllgraf, H. Schulz, U. Bestmann, K. B. Bärfuss

“…A detailed overview of the aircraft, sensors, data post-processing and flight patterns is provided here. Further, averaged profiles of atmospheric parameters illustrate the range of conditions. …”
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Failure Mode and Effects Analysis Integrated with Multi-Attribute Decision-Making Methods Under Uncertainty: A Systematic Literature Review by Aleksandar Aleksić, Danijela Tadić, Nikola Komatina, Snežana Nestić

“…Failure Mode and Effects Analysis (FMEA) is a proactive management technique widely used to improve the reliability of products and processes across various business sectors. Due to rapid changes stemming from uncertain environments, numerous studies have proposed different approaches to enhance the effectiveness of the FMEA method. …”
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Machine learning models for enhanced stroke detection and prediction by Shilpa Bajaj, Manju Bala, Mohit Angurala

“…The OzNet-mRMR-NB model integrates VGG19 for feature extraction, mRMR for feature selection, and Naive Bayes for classification, while Logistic Regression processes flattened feature vectors. The Ensemble CNN, leveraging ResNet and VGG19, outperforms the other models with a testing accuracy of 92.43 %, an AUC score of 0.92, precision of 0.93, and an F1-score of 0.92. …”
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Entropy-extreme concept of data gaps filling in a small-sized collection by Viacheslav Kovtun, Krzysztof Grochla, Mohammed Al-Maitah, Saad Aldosary, Oleksii Kozachko

“…Annotation: The article investigates the process of filling data gaps in a small-sized collection, which generalizes information about periodic measurement of input and output parameters of a target object. …”
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Harnessing Multiscale Topographic Environmental Variables for Regional Coral Species Distribution Models by Annie S. Guillaume, Renata Ferrari, Oliver Selmoni, Véronique J. L. Mocellin, Hugo Denis, Melissa Naugle, Emily Howells, Line K. Bay, Stéphane Joost

“…For this, we obtained and processed three distinct bathymetric digital depth models that we treat as DEMs, which are available across the GBR extent: (i) Allen Coral Atlas (ACA) at 10 m, (ii) DeepReef at 30 m and (iii) DeepReef at 100 m. …”
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Development of machine learning algorithms to predict viral load suppression among HIV patients in Conakry (Guinea) by Degninou Yehadji, Degninou Yehadji, Geraldine Gray, Carlos Arias Vicente, Petros Isaakidis, Petros Isaakidis, Abdourahimi Diallo, Saa Andre Kamano, Thierno Saidou Diallo

“…Support vector machine (SVM), logistic regression (LR), naïve Bayes (NB), random forest (RF), and four stacked models were developed. …”
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Surface-based morphometry of the cerebral cortex in cognitive impairments of varying severity in patients with age-related cerebral small vessel disease by Elena I. Kremneva, Larisa A. Dobrynina, Kamila V. Shamtieva, Victoria V. Trubitsyna, Zukhra S. Gadzhieva, Angelina G. Makarova, Maria M. Tsypushtanova, Marina V. Krotenkova

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TECRR: a benchmark dataset of radiological reports for BI-RADS classification with machine learning, deep learning, and large language model baselines by Sadam Hussain, Usman Naseem, Mansoor Ali, Daly Betzabeth Avendaño Avalos, Servando Cardona-Huerta, Beatriz Alejandra Bosques Palomo, Jose Gerardo Tamez-Peña

“…Abstract Background Recently, machine learning (ML), deep learning (DL), and natural language processing (NLP) have provided promising results in the free-form radiological reports’ classification in the respective medical domain. …”
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Cohesive data analysis for the identification of prognostic hub genes and significant pathways associated with HER2 + and TN breast cancer types by Mahrukh Zakir, Alishbah Saddiqa, Mawara Sheikh, Lalarukh Zakir, Fatima Sami, Faisal Sardar Ahmad, Sadaf Abdul Rauf, Iqra Ali, Zahid Muneer, Wadi B. Alonazi, Abdul Rauf Siddiqi

“…RNA Seq datasets consisting of 49 HER2 + and 44 TNBC breast tumor samples were retrieved and pre-processed. Differentially Expressed Genes (DEGs) along with their logFC and p-values were fetched. …”
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Multi‐sequence MRI‐based clinical‐radiomics models for the preoperative prediction of microsatellite instability‐high status in endometrial cancer by Zhuang Li, Yi Su, Yongbin Cui, Yong Yin, Zhenjiang Li

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The evaluation of the hemodynamically significant stenosis of the carotid arteries: analyzing the results from the duplex scanning of vessels, from the computed tomographic and the... by Nataly S. Nosenko, Ekaterina M. Nosenko, Daria S. Alemasova, Tatiana V. Dedy

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TATPat based explainable EEG model for neonatal seizure detection by Turker Tuncer, Sengul Dogan, Irem Tasci, Burak Tasci, Rena Hajiyeva

“…Therefore, EEG signal processing is very important for neuroscience and machine learning (ML). …”
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T-lymphocytes of the 2nd type of the immune response and their role in enhancing inflammation during the professional activities of firefighters by N. V. Bychkova, A. A. Kalashnikova, N. M. Kalinina

“…From nasal secretions, the content of secretory immunoglobulin A (Vector Best) was evaluated (n = 30). Statistical processing of the results was performed using the Statistica 12.0 package (StatSoft). …”
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Modeling the cooling effect of urban green infrastructures with an ecosystem services approach ( case study: Tehran metropolis) by S. Malekzadeh, H.R. Jafari, R. Nazari, T. Blaschke, A. Hof, M. Karimi

“…Land use/land cover maps of Tehran were generated using Landsat imagery from Thematic Mapper (2002), Enhanced Thematic Mapper Plus (2012), and Operational Land Imager (2022), processed with geometric and radiometric corrections in ENVI 5.3. …”
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Progress of personalized medicine of cystic fibrosis in the times of efficient CFTR modulators by Burkhard Tümmler, Sophia Theres Pallenberg, Anna-Maria Dittrich, Simon Y. Graeber, Lutz Naehrlich, Olaf Sommerburg, Marcus A. Mall

“…CFTR modulators are a novel class of drugs that improve defective posttranslational processing, trafficking and function of mutant CFTR. …”
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SP-GEM: Spatial Pattern-Aware Graph Embedding for Matching Multisource Road Networks by Chenghao Zheng, Yunfei Qiu, Jian Yang, Bianying Zhang, Zeyuan Li, Zhangxiang Lin, Xianglin Zhang, Yang Hou, Li Fang

“…Identifying correspondences of road segments in different road networks, namely road-network matching, is an essential task for road network-centric data processing such as data integration of road networks and data quality assessment of crowd-sourced road networks. …”
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Short- and long-term weekly patient-reported outcomes prediction undergoing radiotherapy: single-patient time series model vs. transformer-based multi-patient time series model by Yang Yan, Zhong Chen, Xinglei Shen, Ronald C. Chen, Hao Gao

“…Methods Based on the well-documented prostate cancer PRO dataset with 17 patients after pre-processing, this study evaluates single-patient time series models (i.e., vector autoregression (VAR) and VAR with incremental ground truth PRO data (VAR-Inc)) and a transformer-based multi-patient model (i.e., Temporal Fusion Transformer (TFT)) for short- and long-term weekly PRO prediction. …”
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