Data-Centric Fine-Tuning of Small Language Models for Automatic Extraction of Technical Requirements by Leopold Muller, Nina Schwarz, Lars Bocking, Andreas Bereczuk, Hanno Stagge, Wolfgang Kratsch, Niklas Kuhl

“…This study evaluates the proposed method on a real-world use case with an industry partner, focusing on the automatic extraction of technical requirements from full-text documents and using both quantitative metrics and qualitative expert assessments. …”
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The Weather Radar as a Tool for Collecting Quantitative Data on Migrating Birds by Roberto Nebuloni, Carlo Capsoni

“…However, turning a radar sensor into a tool for quantitative measurements of birds in flight requires calibration, ad-hoc data sampling strategies, models of birds as radar targets and methods for extracting data from the raw radar echoes. …”
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Fuzzy Linear Programming for Economic Planning and Optimization: A Quantitative Approach by Mohammad Anber Abraheem Shlash, Nijalingappa Yogeesh, Mohammad Suleiman Ibrahim Shelash, Natarajan Raja, Lingaraju Lingaraju, Vasudevan Asokan, Alshurideh Muhammad Turki

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Automatic Annotation of Map Point Features Based on Deep Learning ResNet Models by Yaolin Zhang, Zhiwen Qin, Jingsong Ma, Qian Zhang, Xiaolong Wang

“…We assessed the outcomes both quantitatively and qualitatively, contrasting the ResNet model’s output with that of the expert manual placement approach and the conventional Maplex automatic placement method. …”
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Translating microbial kinetics into quantitative responses and testable hypotheses using Kinbiont by Fabrizio Angaroni, Alberto Peruzzi, Edgar Z. Alvarenga, Fernanda Pinheiro

“…Abstract Challenges such as antibiotic resistance, ecosystem resilience, and bioproduction optimization require quantitative methods to characterize microbial responses to environmental perturbations. …”
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Quantitative ultrasound classification of healthy and chemically degraded ex-vivo cartilage by Angela Sorriento, Lorena Guachi-Guachi, Claudia Turini, Enrico Lenzi, Paolo Dolzani, Gina Lisignoli, Sajedeh Kerdegari, Gaetano Valenza, Claudio Canale, Leonardo Ricotti, Andrea Cafarelli

“…Abstract In this study, we explore the potential of ten quantitative (radiofrequency-based) ultrasound parameters to assess the progressive loss of collagen and proteoglycans, mimicking an osteoarthritis condition in ex-vivo bovine cartilage samples. …”
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Evaluation of automatic cell free DNA extraction metrics using different blood collection tubes by Daniel Andersson, Helena Kristiansson, Manuel Luna Santamaría, Huma Zafar, Ivan Mijakovic, Åsa Torinsson Naluai, Anders Ståhlberg

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Automatic Generation of Standard Nursing Unit Floor Plan in General Hospital Based on Stable Diffusion by Zhuo Han, Yongquan Chen

“…This study focuses on the automatic generation of architectural floor plans for standard nursing units in general hospitals based on Stable Diffusion. …”
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Evaluation of Interpolation Effects on Upsampling and Accuracy of Cost Functions-Based Optimized Automatic Image Registration by Amir Pasha Mahmoudzadeh, Nasser H. Kashou

“…The mean squared error, peak signal to noise, joint entropy, and cost functions were computed for quantitative assessment of the method. Magnetic resonance image scans and joint histogram were used for qualitative assessment of the method.…”
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Automatic cutting and suturing control system based on improved FP16 visual recognition algorithm by Jiayin Wang, Weidong Zhao

“…Results Experimental evaluation demonstrated that the autonomous system achieves high precision and reliability in both cutting and suturing tasks. Quantitative analysis shows that the system maintains an 85% success rate in automatic cutting, with a mean time of 5.10 s per cutting action. …”
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Automatic eddy detection in Antarctic marginal ice zone using Sentinel-1 SAR data by Nikita Sandalyuk, Eduard Khachatrian, Ekaterina Marchuk

“…This work presents the first study on the implementation of the machine learning approach for automatic eddy identification in the Antarctic MIZ. …”
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Convolutional neural networks-based red blood cell detection and tracking with automatic data generation by Kohei TOYAMA, Tomoki MIZUNO, Takuto ARAKI, Toru HYAKUTAKE

“…We also developed a method for automatically generating pseudo-RBC images based on actual RBC images to train CNNs. …”
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NEW APPROACH OF QUANTITATIVE NUCLEAR CARDIAC PERFUSION ASSESSMENT IN PATIENTS WITH PULMONARY HYPERTENSION by A. A. Ansheles, E. G. Valeeva, T. V. Martynyuk, V. B. Sergienko

“…RV contouring in semi-automatic mode was possible in 100% of cases. The average values of RV/LV ratio in PH patients and normal group was 0.6097 ± 0.0090 and 0.2750 ± 0.0355, respectively (p<0.001). …”
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Quantitative methods for assessing the microstructure of steel and alloys for revising outdated GOST standards by A. A. Kazakov, D. V. Kiselev, E. A. Kazakova

“…Using the example of microstructural banding of steel, it is shown how to overcome this gap and bring the methodology developed in Russia to the level of interstate GOST.Other problems of quantitative evaluation of structural components of steels and alloys that can become the basis of industry, national and interstate standards are considered: microstructural heterogeneity of sheet metal; non-metallic inclusions in steel, including automation of GOST 1778-70, evaluation methods using the ASTM E1245 methodology and statistics of extreme values, as well as automatic particle analysis; central axial inhomogeneity of a slab; liquation strip in sheet metal; the proportion of coarse bainite blocks used to describe the properties of modern pipe steels; the structure of joints after multi-pass welding; the metallurgical quality of heat-resistant nickel alloys; the structure of alloys treated in a semi-solid state; the structure of pre-eutectic silumins; non-metallic inclusions in aluminum alloys (PoDFA method); the structure of high-strength cast iron; grain size distribution.…”
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An Optimization Method for Multi-Robot Automatic Welding Control Based on Particle Swarm Genetic Algorithm by Lu Chen, Jie Tan, Tianci Wu, Zengxin Tan, Guobo Yuan, Yuhao Yang, Chiang Liu, Haoyu Zhou, Weisi Xie, Yue Xiu, Gun Li

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Hypothalamic atrophy in primary lateral sclerosis, assessed by convolutional neural network-based automatic segmentation by Jan Kassubek, Francesco Roselli, Simon Witzel, Johannes Dorst, Albert C. Ludolph, Volker Rasche, Ina Vernikouskaya, Hans-Peter Müller

“…The purpose of this study was to quantitatively investigate the hypothalamic volume in a group of PLS patients and to compare it with ALS and controls. …”
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Artificial intelligence-based quantitative bone marrow pathology analysis for myeloproliferative neoplasms by Dandan Yu, Hongju Zhang, Yanyan Song, Yuan Tao, Fengyuan Zhou, Ziyi Wang, Rongfeng Fu, Ting Sun, Huan Dong, Wenjing Gu, Renchi Yang, Zhijian Xiao, Qi Sun, Lei Zhang

“…Based on U2-Net, UNeXt, and ResNet, we developed an automatic quantitative analysis platform of BMT sections from MPNs patients and nonneoplastic cases (n=342 total) to enhance the accuracy of diagnosis and classification of MPNs. …”
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A Comprehensive LC–MS Metabolomics Assay for Quantitative Analysis of Serum and Plasma by Lun Zhang, Jiamin Zheng, Mathew Johnson, Rupasri Mandal, Meryl Cruz, Miriam Martínez-Huélamo, Cristina Andres-Lacueva, David S. Wishart

“…<b>Conclusions:</b> The MEGA assay should make comprehensive quantitative metabolomics much more affordable, accessible, automatable, and applicable to large-scale clinical studies.…”
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Quantitative assessment of colour fundus photography in hyperopia children based on artificial intelligence by Yuan Zhang, Yingting Zhu, Zhirong Wang, Yue Xiao, Yehong Zhuo, Zhidong Li, Guitong Ye, Jianqi Chen, Ruiyu Luo, Rui Xie, Jinan Zhan

“…Fundus parameters, such as optic disc area and mean vessel diameter, were automatically and quantitatively detected using AI. Significant variables (p&lt;0.05) in the univariate analysis were included in a stepwise multiple linear regression.Results Overall, 324 children were included, 172 with low and 152 with moderate-to-high hyperopia. …”
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Enabling high-throughput quantitative wood anatomy through a dedicated pipeline by Jan Van den Bulcke, Louis Verschuren, Ruben De Blaere, Simon Vansuyt, Maxime Dekegeleer, Pierre Kibleur, Olivier Pieters, Tom De Mil, Wannes Hubau, Hans Beeckman, Joris Van Acker, Francis wyffels

“…Unlocking this information requires quantitative analysis, in most cases of the surface of wood. …”
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