Diabetes-related distress and psychological burden in patients with type 1 and type 2 diabetes – the role of child maltreatment, personality functioning, and epistemic trust: findi... by Sandra Zara, Imogen Carla Ullrich, Anna Maria Leveling, Friederike Gisela Genoveva Saretzki, Jana Schmitz, Michael Eckhard, Johannes Kruse, Johannes Kruse, Johannes Kruse, Hanna Kampling, Hanna Kampling

“…We included epistemic trust (openness for social learning) and its impairments mistrust (the tendency to consider information sources as unreliable or ill-intended) and credulity (lack of vigilance and discrimination between trustworthy and untrustworthy information) as covariates.MethodsIn a sample of n=119 patients with type 1 or 2 diabetes aged 18-69, self-report questionnaires assessed diabetes-related distress (PAID-5), psychological burden (PHQ-D, PHQ-9, PHQ-15), child maltreatment (CTQ), personality functioning (OPD-SQS), and epistemic trust, mistrust, and credulity (ETMCQ). …”
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Piezoelectric neuron for neuromorphic computing by Wenjie Li, Shan Tan, Zhen Fan, Zhiwei Chen, Jiali Ou, Kun Liu, Ruiqiang Tao, Guo Tian, Minghui Qin, Min Zeng, Xubing Lu, Guofu Zhou, Xingsen Gao, Jun-Ming Liu

“…Furthermore, spiking neural networks based on piezoelectric neurons are constructed, showing capabilities to implement both supervised and unsupervised learning. This study therefore opens up a new way to develop high-performance artificial neurons by using piezoelectrics, which may facilitate the realization of advanced neuromorphic computing systems.…”
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Time-domain brain: temporal mechanisms for brain functions using time-delay nets, holographic processes, radio communications, and emergent oscillatory sequences by Janet M. Baker, Peter Cariani

“…., sensation, cognition, motivation, attention, memory, learning, and motor action) is proposed that uses temporal codes, time-domain neural networks, correlation-based binding processes and signal dynamics. …”
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Practical guidelines for cell segmentation models under optical aberrations in microscopy by Boyuan Peng, Jiaju Chen, P. Bilha Githinji, Ijaz Gul, Qihui Ye, Minjiang Chen, Peiwu Qin, Xingru Huang, Chenggang Yan, Dongmei Yu, Jiansong Ji, Zhenglin Chen

“…Cell segmentation is essential in biomedical research for analyzing cellular morphology and behavior. Deep learning methods, particularly convolutional neural networks (CNNs), have revolutionized cell segmentation by extracting intricate features from images. …”
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Field-scale irrigated winter wheat mapping using a novel cross-region slope length index in 3D canopy hydrothermal and spectral feature space by Youming Zhang, Guijun Yang, Prasad S. Thenkabail, Zhenhong Li, Wenbin Wu, Xiaodong Yang, Xiaoyu Song, Huiling Long, Miao Liu, Jing Zhang, Lijun Zuo, Yang Meng, Meiling Gao, Wu Zhu

“…While global and regional irrigation products exist, they often classify irrigated crops based on machine learning principles, where irrigated crops outperform rainfed ones. …”
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Computational Analysis Method for Multi-subject Behavior in Public Spaces Based on Targeted Computer Vision Tracking by Chao YAN, Siyan LIU, Shanshu HE, Leiqing XU

“…And a pre-trained deep learning model is adopted for precise localization and trajectory annotation of pedestrians. …”
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Nonlinear Relationship Between the Elderly’s Perception of Green Spaces and Their Activity Characteristics by Yuanjing WU, Yongyi YOU, Wei ZHOU, Siren LAN

“…Based on significant correlations, an interpretable XGBoost machine learning model is constructed to explore variable importance and detect potential nonlinear relationships between perception indicators and activity outcomes.Results1) The elderly generally hold positive perceptions of park environments, particularly in terms of air quality and the ecological environment, indicating a high baseline satisfaction with environmental conditions in the research areas. …”
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Real-time Detection Algorithm of Expanded Feed Image on the Water Surface Based on Improved YOLOv11 by ZHOU Xiushan, WEN Luting, JIE Baifei, ZHENG Haifeng, WU Qiqi, LI Kene, LIANG Junneng, LI Yijian, WEN Jiayan, JIANG Linyuan

“…The mean average precision (mAP50) at an intersection over union (IoU) threshold of 0.5 was as high as 80.00%, and the F1-Score had also reached 79.00%. …”
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Reflection of Qajar Period Social Discourse in Mastooreh Kurdestani Poems With the Approach of Norman Fairclough by Mahin Panahi, Faezeh waezzadeh

“…Keywords Social Discourse, Qajar Period, Women Poets, Mastooreh Kurdestani, Norman Fairclough   Introduction On the threshold of constitutionalism, the all-round developments of Iran on the one hand and the arrival of new ideas on the other hand led to the diversity of approaches and intellectual tendencies among the strata of society and created new discourses and sub-discourses, including women's sub-discourse, in contrast to the traditional discourses. . …”
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Morpho-photometric Classification of KiDS DR5 Sources Based on Neural Networks: A Comprehensive Star–Quasar–Galaxy Catalog by Hai-Cheng Feng, Rui Li, Nicola R. Napolitano, Sha-Sha Li, J. M. Bai, Yue Dong, Ran Li, H. T. Liu, Kai-Xing Lu, Zhi-Wei Pan, Mario Radovich, Huan-Yuan Shan, Jian-Guo Wang, Wen-Zhe Xi, Ling-Hua Xie, Zun-Li Yuan, Yang-Wei Zhang

“…Raising the output probability threshold, we obtain higher purity at the cost of lower completeness. …”
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Hybrid closed-loop systems for managing blood glucose levels in type 1 diabetes: a systematic review and economic modelling by Asra Asgharzadeh, Mubarak Patel, Martin Connock, Sara Damery, Iman Ghosh, Mary Jordan, Karoline Freeman, Anna Brown, Rachel Court, Sharin Baldwin, Fatai Ogunlayi, Chris Stinton, Ewen Cummins, Lena Al-Khudairy

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Adaptive face recognition for mobility support robots using negative feature augmentation and Growing Neural Gas by Chyan Zheng Siow, Qingwei Song, Azhar Aulia Saputra, Naoyuki Kubota

“…The FaceNet system is unable to recognize users when the camera is positioned to view from below, and the true recognition rate is lower when the threshold is set to a higher level. To address these issues, this paper proposes an adaptive face recognition system with a higher threshold setting and the capacity to adapt to bottom camera viewing angles. …”
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De Masaccio à Stalker: pour une esthétique du seuil et de son franchissement  by Sylvie Castets

“…The artwork is thus a threshold one has “to cross in order to learn loneliness” (Serres). …”
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Aborting Seizures by Painful Stimulation by R. L. Carasso, D. I. Mostofsky, S. Yehuda

“…The technique may be recommended as an effective and easily learned procedure that may have wide applicability.…”
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Beyond the National Open Science Sphere: Organising the ERUA Open Science Live Meet-Ups by Maximilian Heber, Goran Sekulovski

“… The Open Science Community reaches beyond national borders, which entails the necessity of international exchange to learn from each other and to develop measures jointly. …”
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Improved Hierarchical Convolutional Features for Robust Visual Object Tracking by Jinping Sun

“…First, the objective function is designed by lasso regression modeling, and a sparse, time-series low-rank filter is learned to increase the interpretability of the model. …”
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Vehicle trajectory reconstruction from automatic license plate reader data by Haiyang Yu, Shuai Yang, Zhihai Wu, Xiaolei Ma

“…Using perception data to excavate vehicle travel information has been a popular area of study. In order to learn the vehicle travel characteristics in the city of Ruian, we developed a common methodology for structuring travelers’ complete information using the travel time threshold to recognize a single trip based on the automatic license plate reader data and built a trajectory reconstruction model integrated into the technique for order preference by similarity to an ideal solution and depth-first search to manage the vehicles’ incomplete records phenomenon. …”
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Development of an Advanced Quality Assessment System for Specialized Flour for Fresh Rice Noodles Employing Multivariate Statistical Techniques by Miaoyuan WU, Luyan LIAO, Xianlong REN, Cao LIU, Weiguo WU

“…This study aimed to elucidate the complicated relationship between diverse characteristics of rice flour and the quality indicators of fresh rice noodles, while at the same time as figuring out key parameters and threshold ranges for flour for fresh rice noodles production. …”
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SGPLane: Efficient lane detection via sampled grid points for autonomous driving by Xuewei Tang, Mengmeng Yang, Kun Jiang, Tuopu Wen, Benny Wijaya, Diange Yang

“…Therefore, the network learns a regression branch and a confidence branch to realize end-to-end lane detection by setting the threshold confidence value. …”
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Device Independent Quantum Private Queries Based on Quantum Key Distribution by Li Liu, Qingshan Du, Xu Gao

“…By constructing the semi-definite programming optimization problem, we give the CHSH test threshold and prove the correctness of our protocol. …”
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