Equivariant spherical CNNs for accurate fiber orientation distribution estimation in neonatal diffusion MRI with reduced acquisition time by Haykel Snoussi, Davood Karimi

“…More importantly, it yields FODs and tractography that are quantitatively comparable and qualitatively highly similar to those from a reliable Hybrid-CSD ground truth, despite using only 30% of the full acquisition data. …”
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Time dependent performance analysis of a Smart Trash bin using state-based Markov model and Reliability approach by Pardeep Kumar, Amit Kumar

“…In this paper, the authors have developed a quantitative mathematical model to assess the performance of a smart trash bin. …”
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Experimental Signatures of Hilbert-Space Ergodicity: Universal Bitstring Distributions and Applications in Noise Learning by Adam L. Shaw, Daniel K. Mark, Joonhee Choi, Ran Finkelstein, Pascal Scholl, Soonwon Choi, Manuel Endres

“…This allows for computationally efficient experimental noise learning and, more broadly, is a new avenue for quantitatively classifying the behavior of noisy quantum systems. …”
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Hemocyte-mediated phagocytosis differs between honey bee (Apis mellifera) worker castes. by Eva Marit Hystad, Heli Salmela, Gro Vang Amdam, Daniel Münch

“…To this end, we adapted phagocytosis assays, which-together with confocal microscopy and flow cytometry-allow qualitative and quantitative assessment of hemocyte performance. We found that nurses are more efficient in phagocytic uptake than both foragers and winter bees. …”
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Translucent Si Solar Cells Patterned with Pulsed Ultraviolet Laser Beam by Ashif H. Chowdhury, Heayoung P. Yoon

“…We report an application of a pulsed ultraviolet (UV) laser (λ = 355 nm) in producing translucent Si solar cells. This process efficiently generates a densely packed microhole array on a fully fabricated Si P‐N junction solar cell in just a few minutes. …”
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A pre-control method in safety risk management of metro construction by Ping Liu, Yongtao Shang, Xueqiang Jin

“…This approach addresses quantitative attributes with fuzziness and randomness. …”
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Analysis of Understanding Concepts and Mastery of Basic Competence of Thermochemistry Materials Post Use of Chemlovers Media by Puji Ningrum, Ariyatun Ariyatun

“…Based on the results of this study, it can be said that media like Chemlovers efficiently helps students comprehend ideas and hone analytical abilities linked to thermochemistry. …”
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Advanced Hyena Hierarchy Architectures for Predictive Modeling of Interest Rate Dynamics from Central Bank Communications by Tao Song, Shijie Yuan, Rui Zhong

“…This work offers a powerful and efficient new paradigm for handling ultra-long financial policy texts and demonstrates the effectiveness of integrating advanced sequence modeling, efficient fine-tuning, and domain adaptation techniques for extracting timely economic signals, with the aim to open new avenues for quantitative policy analysis and financial market forecasting.…”
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Identification Method of Dynamic Propagation Process of Rock Fracture Based on Ground Penetrating Radar by CHEN Jun, ZHANG Bo, ZHUANG Xingyue, SONG Zhishu, ZHENG Jun

“…Additionally, the application of deep learning algorithms, such as convolutional neural networks and Transformers, can automate the process of GPR image analysis, reducing human bias and improving the efficiency of data interpretation.ConclusionsThe findings of this study demonstrate the significant potential of GPR technology for dynamic monitoring of rock mass fractures. …”
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Identification of QTLs and candidate genes screening for hypoxia tolerance in Pacific white shrimp (Litopenaeus vannamei) by Xiawen Li, Yian Zhu, Zhixiang Yuan, Cunyu Duan, Yu Chen, Lei Yang, Minghui Ye, Wei Wang, Zhongduo Wang, Huapu Chen, Yulei Zhang, Changxu Tian

“…This study aimed to uncover the genetic basis of hypoxia tolerance to enhance farming efficiency and sustainability. We evaluated hypoxia tolerance in a shrimp mapping family and identified quantitative trait loci (QTLs) and candidate genes associated with this trait. …”
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Strategy for Accurate Detection of Six Tropane Alkaloids in Honey Using Lateral Flow Immunosensors by Boyan Sun, Chuanlei Wang, Zile Wang, Jiayi Liang, Ke Han, Shuai Zhang, Chunchao Yin, Xiaomei Wang, Chujun Liu, Zhiyue Feng, Sihan Wang, Haiyang Jiang

“…By diluting the honey sample five times, the contaminants can be readily detected using LFIA. Semi-quantitative and quantitative analyses can be completed within 17 min. …”
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Development of a selection system for the colour of wardrobe furniture by Chengmin Zhou, Zhenyu Li, Jake Kaner, Chaoxia Leng

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Flood extent mapping in SAR images using semi-supervised approach by Girisha S, Savitha G, Sughosh P

“…The suggested method was assessed with publicly accessible datasets, and the outcomes show notable gains in both qualitative and quantitative measures. The findings highlight the method's effectiveness in improving flood-zone segmentation accuracy, leading to more efficient disaster management.…”
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Nucleic acid therapeutics: Past, present, and future by Sajid Naeem, Ju Zhang, Yang Zhang, Yu Wang

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The impact of industry 4.0 on the sustainable development of urban economy under the background of big data by Yan Li, Liping Zhang, Rongqun Chen

“…The primary objective is to analyze how these technologies contribute to optimizing urban economic structure, improving resource efficiency, and fostering innovation-driven growth. …”
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Petagraph: A large-scale unifying knowledge graph framework for integrating biomolecular and biomedical data by Benjamin J. Stear, Taha Mohseni Ahooyi, J. Alan Simmons, Charles Kollar, Lance Hartman, Katherine Beigel, Aditya Lahiri, Shubha Vasisht, Tiffany J. Callahan, Christopher M. Nemarich, Jonathan C. Silverstein, Deanne M. Taylor

“…Petagraph leverages more than 180 ontologies and standards in the Unified Biomedical Knowledge Graph (UBKG) to embed millions of quantitative genomics data points. Petagraph provides a cohesive data environment that enables users to efficiently analyze, annotate, and discern relationships within and across complex multi-omics datasets supported by UBKG’s annotation scaffold. …”
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Coffee-Leaf Diseases and Pests Detection Based on YOLO Models by Jonatan Fragoso, Clécio Silva, Thuanne Paixão, Ana Beatriz Alvarez, Olacir Castro Júnior, Ruben Florez, Facundo Palomino-Quispe, Lucas Graciolli Savian, Paulo André Trazzi

“…In this scenario, deep learning techniques have shown promise for the early identification of these diseases, enabling more efficient monitoring. This paper proposes an approach for detecting diseases and pests on coffee leaves using an efficient single-shot object-detection algorithm. …”
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A new method to improve 5G coverage of urban grid roads by Yejiang ZHANG, Jie CHEN, Jian HU, Xiaokang YANG, Yun LU, Teng LIANG

“…Urban grid road is an important use scenario for mobile communication users.Compared with other static scenes, UE mobility on the road leads to relatively poor customer perception.The traditional urban grid road test optimization has some pain points, such as incomplete regulation, low optimization efficiency, repeated work orders, no focus and so on.A new method to improve 5G coverage of urban grid roads was proposed.The proposed method introduces the concept of problem circle, realizes the effective aggregation of sporadic test problem points, and uses“aggregation degree” and “repetition degree” to quantitatively identify the priority of test problems.By introducing the concepts of “ideal azimuth” and “appropriate cell”, the method of the optimal coverage cell of the problem circle was proposed, which can effectively output the optimization scheme of the problem circle.This method has been deployed in the current network and effectively supports the test and optimization of urban grid roads.The 5G coverage rate has increased from 89.95% to 98.86%.…”
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Research on Visualization of Cylindrical Gear Hobbing Cutting Force and the Influence of Cutting Parameter on Hobbing Cutting Force by Xiaoqing Tian, Xinrong Zheng, Ruofeng Chen, Jiang Han, Lian Xia

“…The influence of different cutting parameter on hobbing cutting force is analyzed quantitatively. The predictive model helps to optimize the design of the gear hobbing process to improve the quality and efficiency of the machining and reduce the cost.…”
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QSAR Modeling and Biological Testing of Some 15-LOX Inhibitors in a Series of Homo- and Heterocyclic Compounds by Veronika Khairullina, Yuliya Martynova, Matvey Kanevsky, Irina Kanevskaya, Yurii Zimin, Leonid Maksimov

“…This paper examines the quantitative structure–inhibitory activity relationship of 15-lipoxygenase (15-LOX) in sets of 100 homo- and heterocyclic compounds using GUSAR 2019 software. …”
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