A Bluetooth Indoor Positioning System Based on Deep Learning with RSSI and AoA by Yongjie Yang, Hao Yang, Fandi Meng

“…During the training process, the backpropagation (BP) algorithm is used to compute the gradient of the loss function and update the parameters of the entire network, gradually optimizing the model’s performance. …”
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The Role Of Time Delays, Slow Processes And Chaos In Modulating The Cell-Cycle Clock by E.V. Presnov, Z. Agur

“…The complicated geometry of this strange attractor can be viewed as an unlimited reservoir of periods in the phase space.We hypothesize that the existence of such a reservoir is advantageous in morphogenetic tissues, such as the bone marrow, as it enables time- and site-specific selection of the optimal cell-cycle period for any specific micro- environment. …”
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Secure transmission for IoT wireless energy-carrying communication systems. by Pingxin Wang, Zhen Jing, Zhi Zhang, Qing Wang, Congcong Li, Hongxia Zhu

“…The wireless energy-carrying communication method for the Internet of Things (IoT) presents several difficulties for information security such as eavesdropping or data loss. To solve these issues, this paper presents a new secure transmission method for IoT wireless energy-carrying communication systems. …”
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Dynamic Scene Stitching Driven by Visual Cognition Model by Li-hui Zou, Dezheng Zhang, Aziguli Wulamu

“…Combined with the manifold-based mosaicing framework, dynamic scene stitching is formulated as a cut path optimization problem in a constructed space-time graph. …”
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A novel recyclable hydrolyzed nanomagnetic copolymer catalyst for green, and one-pot synthesis of tetrahydrobenzo[b]pyrans by Behrooz Maleki, Samaneh Sedigh Ashrafi, Pouya Ghamari Kargar, Azita Alipour, Zohreh Pahnavar, Pegah Ebrahimzadeh

“…A series of reaction parameters were optimized, including solvent choice, catalyst loading, and recyclability. …”
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Neuron Network Modeling of Intensification of Isogumulone Extraction in a Rotary Pulse Generator by Anton V. Shafrai, Elena A. Safonova, Dmitry M. Borodulin, Yana S. Golovacheva, Sergey A. Ratnikov, Wasfie Barsoom Wasef Kerlos

“…The resulting model had the following parameters: two hidden layers, 30 neurons each; neuron activation function – GELU; loss function – MSELoss; learning step – 0.001; optimizer – Adam; L2 regularization at 0.00001; training set of four batches, 16 records each; 9,801 epochs. …”
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Gene Selection Algorithms in a Single-Cell Gene Decision Space Based on Self-Information by Yan Fang, Yonghua Lin, Chuanbo Huang, Zhaowen Li

“…The concept of dependency in a classic neighborhood rough set model plays the role of this evaluation function. This criterion only notes the information provided by the lower approximation and omits the upper approximation, which may result in the loss of some important information. …”
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Detection of Electric Network Frequency in Audio Using Multi-HCNet by Yujin Li, Tianliang Lu, Shufan Peng, Chunhao He, Kai Zhao, Gang Yang, Yan Chen

“…Experimental results indicate that after hyperparameter optimization, Multi-HCNet exhibits superior performance across various experimental conditions. …”
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Enhanced intrusion detection model based on principal component analysis and variable ensemble machine learning algorithm by Ayuba John, Ismail Fauzi Bin Isnin, Syed Hamid Hussain Madni, Farkhana Binti Muchtar

“…First, PCA is combined with the AdaBoost ensemble machine learning algorithm, which acts as stagewise additive modelling to compensate for PCA's deficiency in feature selection in network traffic by minimizing the exponential loss function. Secondly, PCA is used for feature selection, and a LogitBoost classifier algorithm can be used for multiclass classification and acts as an additive tree regression to compensate for the PCA's weakness by minimizing the Logistic Loss to provide an optimal classifier output. …”
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AIpollen: An Analytic Website for Pollen Identification Through Convolutional Neural Networks by Xingchen Yu, Jiawen Zhao, Zhenxiu Xu, Junrong Wei, Qi Wang, Feng Shen, Xiaozeng Yang, Zhonglong Guo

“…In terms of model selection, we employed a pre-trained ResNet34 network and fine-tuned its architecture to suit our specific task. For the optimization algorithm, we opted for the Adam optimizer and utilized the cross-entropy loss function. …”
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Intelligent collaborative management and control platform for continuous mining equipment in open-pit mines by Zhiyong LEI, Xiaolong MA, Shujun ZHAO, Shiming ZHANG, Bin YAN

“…All functionalities align with actual production requirements.…”
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Modeling Autonomous Vehicles’ Altruistic Behavior to Human-Driven Vehicles in the Car following Events and Impact Analysis by Wenyun Tang, Le Xu, Jianxiao Ma

“…HDV followers with different strategies get less jerk in both soft optimizations. AV passengers get a loss on jerk and efficiency, but safety is enhanced. …”
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Accurate Extraction of Rural Residential Buildings in Alpine Mountainous Areas by Combining Shadow Processing with FF-SwinT by Guize Luan, Jinxuan Luo, Zuyu Gao, Fei Zhao

“…Building upon this, the Feature Fusion Swin Transformer (FF-SwinT) model was constructed by optimizing the data processing, loss function, and multi-view feature fusion. …”
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Minimum proportion of future liver remnant in safe major hepatopancreatoduodenectomy by Kentaro Umemura, Akira Shimizu, Tsuyoshi Notake, Koji Kubota, Kiyotaka Hosoda, Koya Yasukawa, Atsushi Kamachi, Takamune Goto, Hidenori Tomida, Yuji Soejima

“…Results Grade B/C PHLF occurred in 40% of the patients (n = 19), leading to severe morbidity and two in‐hospital deaths. pFLR was a good predictor of Grade B/C PHLF [area under the curve (AUC) 0.80, p < 0.01] with a 45% optimal cutoff. While all remnant liver function scores predicted PHLF, the remnant ALICE demonstrated the best predictability (AUC 0.85, p < 0.01), with the sensitivity and specificity at 89% and 83%, respectively, using −0.86 as the cutoff. …”
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The efficacy of platelet-rich plasma preparation protocols in the treatment of osteoarthritis: a network meta-analysis of randomized controlled trials by Dongsheng Yu, Jiani Zhao, Kun Zhao

“…Abstract Purpose Osteoarthritis (OA) is a widespread joint disease characterized by the gradual loss of cartilage. Intra-articular injections, including platelet-rich plasma (PRP), are commonly used for treatment, but the optimal PRP preparation method remains debated. …”
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Experience and needs of stroke patients in physical rehabilitation: a systematic review and meta-synthesis by Xueting Sun, Yage Shi, ChenJun Liu, Shuaiyou Wang, Dingding Li, Xinyi Zhu, Kun Pan, Hongru Wang, Huimin Zhang

“…Results A total of 28 papers (n = 468) were included, and 117 findings were distilled into 24 new categories, which were synthesized into 4 integrated findings: (1) Body perceptionan and dynamic adaptation (Limb loading, Poorly designed rehabilitation equipment, Dynamic changes, Improvement in physical function); (2) Psychological course and emotional experience (Negative emotions and social avoidance, Desire for restoration of limb function, Confusion, Fear and self-doubt, Lack of therapeutic care, Loss of patience, Psychological adaptation and emotional transformation); (3) Multi-dimensional motivations and facilitators (Positive feedback, Diverse external support, Challenging design, Goal setting and sense of achievement, Positive emotional attitudes and personality traits, Avoiding disability labeling and functional degradation, Self-responsibility); (4) Unmet needs and directions for optimizing intervention strategies (Convenient and continuous demand for rehabilitation services, Access to rehabilitation information and resources, Individualized rehabilitation guidance, Socialization and group interaction between patients with similar experiences, Economic support and policy guarantees, Real-time feedback and intelligent adjustments). …”
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SSA-GAN: Singular Spectrum Analysis-Enhanced Generative Adversarial Network for Multispectral Pansharpening by Lanfa Liu, Jinian Zhang, Baitao Zhou, Peilun Lyu, Zhanchuan Cai

“…Additionally, we introduce Pareto optimization to the nonreference loss function to improve the overall performance. …”
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Metabolic signals in sleep regulation: the role of brown adipose tissue by Éva Szentirmai, Levente Kapás

“…The cumulative evidence from these investigations suggests that BAT plays a crucial role in maintaining an optimal metabolic environment conducive to sleep, a function that becomes particularly significant in contexts of prior sleep loss, inflammatory conditions, and fluctuations in ambient temperature.…”
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Behavioral Dynamics Analysis in Language Education: Generative State Transitions and Attention Mechanisms by Qi Zhang, Yiming Qian, Shumiao Gao, Yufei Liu, Xinyu Shen, Qing Jiang

“…A central innovation is the introduction of a generative loss function, which jointly optimizes sentiment prediction and behavior analysis, enhancing the adaptability of the model to diverse learning scenarios. …”
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Unimodular Multi-Input Multi-Output Waveform and Mismatch Filter Design for Saturated Forward Jamming Suppression by Xuan Fang, Dehua Zhao, Liang Zhang

“…Particularly, we introduce fast Fourier transform (FFT) to accelerate the numeric calculation of both the objection function and its gradient. Secondly, we design a mismatch filter to further suppress the filtered jamming through convex optimization in polynomial time. …”
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