Pierre Valentin Boudhors (1754-1831) : un projet de transformation de la prison à Ensisheim by Véronique Umbrecht

“…Thus, he has designed an architectural complex mixing expression and moralisation.…”
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Exploring early Acheulian technological decision-making: A controlled experimental approach to raw material selection for percussive artifacts in Melka Wakena, Ethiopia. by Eduardo Paixão, Tegenu Gossa, Walter Gneisinger, João Marreiros, Sören Tholen, Ivan Calandra, Erella Hovers

“…The evolution of human behaviour is marked by key decision-making processes reflected in technological variability in the early archaeological record. …”
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Grid Partition-Based Dynamic Spatial–Temporal Graph Convolutional Network for Large-Scale Traffic Flow Forecasting by Lifeng Gao, Liujia Chen, Agen Qiu, Qinglian Wang, Jianlong Wang, Cai Chen, Fuhao Zhang, Geli Ou’er

“…Accurate forecasting of city-level large-scale traffic flow is crucial for efficient traffic management and effective transport planning. …”
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An association rule-based approach for frequent item mining of multi-stage access data by Silong Wu

“…Abstract The processing of large-scale datasets is complex and requires high efficiency. The database needs to be scanned multiple times by traditional Apriori algorithms to generate candidate itemsets, resulting in significantly reduced efficiency, but also have too simple a support threshold setting, which fails to fully consider the importance and differences of different itemsets in practical business, thereby affecting the accuracy of frequent item mining. …”
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Optimized fiducial marker placement using B‐spline surface modeling and graph theory for Cyberknife stereotactic body radiotherapy for superficial tumors by Jing Huang, Xianlong Xiong, Cheng Chen, Yuhan Li, Ruijie Wang, Zhitao Dai

“…To enhance the computational efficiency, a kd‐tree spatial indexing structure was integrated with graph theory, specifically the Bron–Kerbosch algorithm for maximal clique detection. …”
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Tip optofluidic immunoassay: Evaluating COVID-19 antibody protection with 1 μL fingertip blood by Xiaotian Tan, Yujuan Chai, Ruihan Li, Binmao Zhang, Hao Li, Jie Zhang, Tianen Zhu, Weishu Wu, Lixiang An, Shi Hu, Bin Yang, Li Wang, Zhenqiu Cao, Hongjiu Zhang, Peng Wang, Lingling Yu, Shan Yin, Xingyu Li, Fei Shao, Jianheng Huang, Jinze Li, Fan Yang, Chao Zhao, Jiajia Guo, Lin Zeng, Dong Liang, Zhengting Zou, Hairong Zheng, Xudong Fan, Liangzhi Xie, Yunlong Cao, Hui Yang

“…TOI achieves a broad dynamic range (3–4 orders of magnitude), high signal-to-noise ratio (∼10,000), and excellent sensitivity for immunoglobulin G (IgG) detection. A renovated version of the rapid in vitro inhibition assay (RIVIA) is incorporated to evaluate neutralizing antibodies against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) with greater speed and cost-efficiency. …”
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Smart Clove Oil Distillation System using IoT and Ultrasonic Sensors by Ihwana As'ad, Andi Muhammad Rahmatullah, Syahrul Mubarak Abdullah, Fahmi Fahmi, Hariani Ma'tang Pakka, Andiyan Andiyan

“…Furthermore, the modular container design promotes gravity-assisted separation, enhancing energy efficiency and reducing mechanical complexity. The remote monitoring feature allows users to access real-time data on fluid levels and system status, ensuring reliable operation with minimal manual supervision. …”
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Mapping the computational similarity of individual neurons within large-scale ensemble recordings using the SIMNETS analysis framework by Carlos E. Vargas-Irwin, Carlos E. Vargas-Irwin, Carlos E. Vargas-Irwin, Jacqueline B. Hynes, Jacqueline B. Hynes, David M. Brandman, Jonas B. Zimmermann, John P. Donoghue, John P. Donoghue, John P. Donoghue, John P. Donoghue

“…At the same time, the growing scale and complexity of these datasets introduce new conceptual and technical challenges beyond what can be addressed using traditional analysis techniques. …”
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Impact of Biochar Addition on Biofloc Nitrifying Bacteria and Inorganic Nitrogen Dynamics in an Intensive Aquaculture System of Shrimp by Wujie Xu, Demin Zhang, Haochang Su, Yu Xu, Xiaojuan Hu, Guoliang Wen, Yucheng Cao

“…Metagenomic sequencing analysis revealed that the bacterial community composition of bioflocs showed higher α-diversity and complexity in the biochar group compared to the molasses group. …”
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Travel Patterns Analysis Using Tensor-Based Model from Large-Scale License Plate Recognition Data by Zhaoxin Liu, Xiaolu Wang, Yufeng Bi, Jun Kong, Run Xu, Yuanpei Chen, Jinjun Tang

“…Travel patterns reflect the regularity of residents’ mobility, and it is a crucial factor to evaluate the reasonability of urban spatial structure and connectivity of road networks. …”
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Recent Advances in Black Silicon Surface Modification for Enhanced Light Trapping in Photodetectors by Abdulrahman Alsolami, Hadba Hussain, Radwan Noor, Nourah AlAdi, Nada Almalki, Abdulaziz Kurdi, Thamer Tabbakh, Adnan Zaman, Salman Alfihed, Jing Wang

“…We also explore the impact of BSi on the emerging applications in silicon (Si)-based photodetectors, showcasing their potential for pushing the boundaries of light-trapping efficiency. Throughout this review, we critically evaluate the trade-offs between fabrication complexity and performance enhancement, providing valuable insights for future development in this rapidly evolving field. …”
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A Robotic grinding station based on an industrial manipulator and vision system. by Guoyang Wan, Guofeng Wang, Yunsheng Fan

“…The measurements indicate that this system can work stably and efficiently, and the experimental results demonstrate the high accuracy and high efficiency of the proposed method. …”
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Classification of pulmonary diseases from chest radiographs using deep transfer learning. by Muneeba Shamas, Huma Tauseef, Ashfaq Ahmad, Ali Raza, Yazeed Yasin Ghadi, Orken Mamyrbayev, Kymbat Momynzhanova, Tahani Jaser Alahmadi

“…In clinical practice, diagnosing pulmonary diseases using chest radiographs is challenging due to Overlapping and complex anatomical Structures, variability in radiographs, and their quality. …”
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Exploring the drivers of irregular spending in the EU cohesion policy by Francesco Foglia, Francesco Molica, Anabela M. Santos

“…Overall, the analysis finds that the more complex the programmes (e.g., in terms of number of priorities, multi-fund focus), the higher the risk of irregularities and the more difficult is for programme authorities to detect them. …”
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The Influence Mechanism of Dissolved Organic Matter on the Photocatalytic Oxidation of Pharmaceuticals and Personal Care Products by Jie Wang, Minyi Zhu, Anli Sun, Rongfang Yuan, Huilun Chen, Beihai Zhou

“…These findings provide novel insights into optimizing photocatalytic reaction conditions and enhancing treatment efficiency, while providing a theoretical foundation for advancing efficient, eco-friendly PPCPs remediation technologies.…”
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DATA MINING IN RELATIONAL SYSTEMS by Valentin Filatov, Valerii Semenets, Oleg Zolotukhin

“…On the one hand, associative rules are close to logical models, which makes it possible to organize efficient inference procedures on them, and on the other hand, they more clearly reflect knowledge than classical models. …”
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STUDIES REGARDING THE PRODUCTION CAPACITY OF SOILS OUTSIDE THE BUILT-IN AREA OF THE POJEJENA COMMUNE, CARAȘ-SEVERIN COUNTY. CASE STUDY by Casiana MIHUȚ, Anișoara DUMA-COPCEA, Lucian NIȚĂ, Simona NIȚĂ

“…The paper presents the fertility of the agricultural land in the studied area, the necessary costs for wheat and corn cropping per hectare, in relation to these soils’ production capacity, reflected by the obtained productions and the farm’s economic efficiency. …”
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Dense Neural Network Classification Model for Software Defined Network for Fine Grained Traffic Routing and Flow Analysis by Dr. Khaliq Ahmed, Maheen Danish, Asif Raza

“…The DDNN model handles diverse types of traffic with a lot of efficiency through extracting deep features from complex datasets, hence increasing the capability of SDN to meet the ever-evolving demands in networks. …”
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Enhancing biometric identification using 12-lead ECG signals and graph convolutional networks by Maram Al Alfi, Pedro Peris-Lopez, Carmen Camara

“…This index is used to construct a graph representation, where nodes correspond to ECG features and edges reflect their relationships based on MI values. The GCN model is trained on this graph, enabling it to learn complex patterns for user identification efficiently.ResultsExperimental results demonstrate that the proposed GCN-MI model achieves 100% accuracy with a 5-layer architecture at a k-fold of 75, outperforming conventional approaches that require less training data.DiscussionThis work introduces several innovations: the integration of MI indices enhances feature selection, improving model robustness and efficiency; the graph-based learning framework effectively captures both spatial and statistical relationships within ECG data, leading to higher classification accuracy; the proposed approach offers a scalable and real-time biometric authentication system suitable for applications in finance, healthcare, and personal device access. …”
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Impact of wind shear on aerosol–cloud interactions and convective precipitation by Mathis Tonn, Christian Barthlott, Michael Kunz, Corinna Hoose

“…However, this is not necessarily reflected in the amount of precipitation, which shows no systematic dependency on the wind shear for the days analyzed. …”
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