Neurotoxic effects of rotenone and deltamethrin prolonged exposure on adult zebrafish by Jacopo Grisotto, Shima Tavakolian Haghighi, Atena Poor Sasan, Serena Pedron, Matteo Brunelli, Ugo Moretti, Giovanna Paolone

“…Our findings confirm that chronic sub-threshold exposure to chemicals present in environmental waters causes significant damage to cerebral tissue, leading to apoptosis and behavioral alterations.…”
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Remote Aerial Vehicle Solutions for Weed Detection in Precision Agriculture by Shekhar S. Borah, Aryan Anand, Prabha Sundaravadivel, Reginald Fletcher, Krishna N. Reddy

“…This study presents a novel Remote Aerial Vehicle-based approach for detecting pigweeds in soybean (Glycine max) fields using a combination of deep learning and advanced image processing techniques. …”
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Coal burst spatio-temporal prediction method based on bidirectional long short-term memory network by Xu Yang, Yapeng Liu, Anye Cao, Yaoqi Liu, Changbin Wang, Weiwei Zhao, Qiang Niu

“…Moreover, compared to the traditional threshold-based coal burst temporal prediction method, the accuracy of the proposed method is increased by 38.5%. …”
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Spatio-Temporal Travel Speed Estimation in Mixed Traffic Conditions: A Probe Vehicle-Based Approach With Autonomous Vehicle Sensor Integration by Hyungjoo Kim, Seongeun Na, Jongho Kim, Sangsoo Lee, Jiho Yeo

“…The results indicate that estimation accuracy significantly improves with higher sampling rates, with a minimum threshold of 30% required for reliable performance. …”
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Optimising early detection of degenerative cervical myelopathy: a systematic review of quantitative screening tools for primary care by Salazar Jones, Sean Inzerillo, Pemla Jagtiani

“…Questionnaires consistently showed high diagnostic accuracy, with Youden indices exceeding 0.60, while only three out of nine conventional physical performance tests met the same threshold. Sensor-assisted tests, particularly those using advanced technology like finger-wearable gyro sensors, exhibited the highest diagnostic accuracy but present challenges related to accessibility and learning curves.Conclusion This review highlights the potential of quantitative screening methods for early DCM detection in primary care. …”
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Hardware assurance with silicon photonic physical unclonable functions by Mohammad Amin Mahdian, Ebadollah Taheri, Kaveh Rahbardar Mojaver, Mahdi Nikdast

“…Measurement results from the fabricated CDCs demonstrate their capability to achieve an average Hamming distance threshold of over 0.2, effectively distinguishing between legitimate devices and their copies. …”
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Research on Obtaining Pepper Phenotypic Parameters Based on Improved YOLOX Algorithm by Yukang Huo, Rui-Feng Wang, Chang-Tao Zhao, Pingfan Hu, Haihua Wang

“…This study proposes a deep learning-based phenotypic measurement method for peppers. …”
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Detecting infrared UAVs on edge devices through lightweight instance segmentation. by YuZhi Chen, HaoYue Sun, Liang Tian, Ye Yang, ShenYang Wang, TianYou Wang

“…<h4>Motivation</h4>Infrared unmanned aerial vehicle (UAV) detection for surveillance applications faces three conflicting requirements: accurate detection of pixel-level thermal signatures, real-time processing capabilities, and deployment feasibility on resource-constrained edge devices. Current deep learning approaches typically optimize for one or two of these objectives while compromising the third.…”
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The Flaneur-as-Researcher. An Autoethnography by Giacomo Gaggiassi

“… Reviewing the nineteenth-century figure initially outlined by the poet Baudelaire and later codified by Walter Benjamin, the term "flâneur" is defined as the intellectual capable of getting lost in the city, pushing beyond its threshold to capture its "genius loci". In this article I discussed and reported a complete analysis of my thesis work. …”
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Notice of Violation of IEEE Publication Principles: VVC/H.266 Intra Mode QTMT Based CU Partition Using CNN by Sameena Javaid, Safdar Rizvi, Muhammad Talha Ubaid, Abdullah Tariq

“…Finally, a variable threshold decision system is established to achieve the targeted low complexity and RD performance. …”
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THE POSSIBILITIES OF USING THE PROJECT METHOD IN EDUCATION AND WORK WITH YOUNG PEOPLE AT THE PRESENT TIME by S. V. Ivanova, L. S. Pastukhova

“…This type of the practice-focused training contributes to successful socialization, promotes learning of necessary professional competences that provide competitiveness of a future expert; develops independence, commitment, responsibility and initiative.Practical significance. …”
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Systematic Review of Image Segmentation Programs in Craniomaxillofacial Surgery by Khawla Rasheed, Auns Al-Neami, Haider Abbas

“…Various image segmentation programs that use different techniques, including thresholding, edge-based methods, region-based methods and machine learning-based methods, were investigated. …”
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Performance Evaluation and Optimization of 3D Gaussian Splatting in Indoor Scene Generation and Rendering by Xinjian Fang, Yingdan Zhang, Hao Tan, Chao Liu, Xu Yang

“…Through a systematic quantitative analysis of various performance indicators under differing resolution conditions, threshold settings for the average magnitude of spatial position gradients, and adjustments to the scaling learning rate, the optimal parameter configuration for the 3DGS model, specifically tailored for indoor modeling scenarios, is determined. …”
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Influence of knowledge management practices on librarians' competency in artificial intelligence in tertiary institutions of Lokoja, Kogi State, Nigeria by Sherif Kunle Yusuf, Abdullateef B. Oshinaike, Ismail O. Suleiman, Yinka Martins Omoniyi

“…However, limited proficiency in technical AI domains such as machine learning and natural language processing indicates a need for specialized training. …”
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Weighted Content Similarity Feature for Software Architecture Anti-Patterns Prediction by Somayeh Kalhor, Mohammad Reza Keyvanpour

“…The anti-patterns prediction process at different levels of abstraction utilizes software features, whose threshold values impact the accuracy of this process. …”
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Intelligent Detection of Oceanic Front in Offshore China Using EEFD-Net with Remote Sensing Data by Ruijie Kong, Ze Liu, Yifei Wu, Yong Fang, Yuan Kong

“…Experimental results demonstrate that the improved model’s front identification capability is in strong agreement with fronts segmented and annotated using the threshold method, with IoU and weighted Dice scores reaching 98.81% and 95.56%, respectively. …”
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Detection of surface defects on conveyor belts based on adversarial repair networks by YANG Zelin, YANG Liqing, HAO Bin

“…In response to the challenges of acquiring and labeling defect data on conveyor belts, as well as the low accuracy of deep learning-based conveyor belt defect detection methods due to unstable factors and data fluctuations in working environments, this study proposed a surface defect detection model based on adversarial repair networks. …”
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Multi-Temporal Assessment of Soil Erosion After a Wildfire in Tuscany (Central Italy) Using Google Earth Engine by Francesco Barbadori, Pierluigi Confuorto, Bhushan Chouksey, Sandro Moretti, Federico Raspini

“…The results suggest the need to plan mitigation strategies towards reducing soil erodibility, directly and indirectly, with a continuous monitoring of erosion rates and the application of machine learning algorithms to thoroughly understand the relationships between variables.…”
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Analysis of the mechanism of physical activity enhancing well-being among college students using artificial neural network by Yuxin Cong, Roxana Dev Omar Dev, Shamsulariffin Bin Samsudin, Kaihao Yu

“…The analysis of the dynamic threshold effect reveals that the critical points of distinct characteristic values exhibit substantial variations in their impact on well-being. …”
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Predictive model for necrotising fasciitis (NF) outcome by Sushmitha Kalakeri, Utsav Balar, Gehad Abdelkhalek

“…At a clinical score threshold of 10, the model demonstrated a sensitivity of 80% and a specificity of 57.6% (Table 1).The proposed score performance indicates a reliable capacity to identify NF patients at high risk of mortality or severe morbidity. …”
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