Incremental Adaptive Control of a Class of Nonlinear Nonaffine Systems by Yizhao Zhan, Shengxiang Zou, Xiongxiong He, Mingxuan Sun

“…With the proposed incremental adaptation, the implicit function theorem is introduced to solve the intractability problem of the nonaffine structure. …”
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A brief history of high-stakes testing and its possible futures by María Jesús Gutiérrez Domínguez

“… Education’s historical emphasis on assessments that enhance learning has evolved into a competitive, performance-driven model due to educational reforms and neoliberal influences. …”
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Cost-sensitive multi-kernel ELM based on reduced expectation kernel auto-encoder. by Liang Yixuan

“…ELM (Extreme learning machine) has drawn great attention due its high training speed and outstanding generalization performance. …”
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Utilité de l’exposé magistral en ligne dans la formation universitaire en sciences de l’activité physique by Marcel Nadeau, Sylvain Turcotte

“…The advantages and disadvantages are analyzed using the model of St-Yves (1982) who considers the process of teaching and learning as a function of internal and external conditions. …”
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Towards 5G：heterogeneous cellular network architecture design based on intelligent SDN paradigm by Yifan ZHOU, Zhifeng ZHAO, Honggang ZHANG

“…To enrich the SDN（software defined networking）with intelligence and learning capability，an intelligent SDN paradigm was proposed for the first time.Combining it with the traditional cellular networks，5G-oriented heterogeneous cellular network architecture based on the intelligent SDN was set up，which made the integrated management of radio access networks and core networks possible.Based on the management and coordination of intelligent SDN，the decoupling of control and data，decoupling of uplink and downlink，and dynamic resource utilization in radio access networks to improve the spectrum efficiency and energy efficiency were put forward；content caching and network security strategies were deployed in the core networks to enhance the network scalability and data throughput.Globally，the resource utilization in radio access networks and core networks was optimized to achieve the network function virtualization and customized service provision，which contributed to the in-depth combination between the heterogeneous cellular networks and intelligent SDN.…”
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Multi-objective Optimal Design for Passive Part of Hybrid Active Power Filter Based on Bacterial Foraging and Particle Swarm Optimization by 李圣清, 李永安, 罗晓东, 曾黎琳, 何政平

“…It takes the capacity of reactive power compensation, the harmonic effect after compensation and the original investment cost as three objectives, and restricts the important goal and dynamic constants as a method to achieve comprehensive fitness function, and then solves the multi-objective optimization problem. …”
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PENGEMBANGAN KEMAMPUAN GURU DALAM MELAKUKAN PENILAIAN PORTOFOLIO SISWA SEKOLAH DASAR by Sarah Fazilla, Riandi Marisa

“…So that by applying an assessment that is expected to accommodate the function, purpose and principles of assessment and also provide additional information for teachers in designing an ideal alternative assessment. …”
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Neuronal plasticity and multisensory integration in filial imprinting. by Stephen Michael Town, Brian John McCabe

“…Many organisms sample their environment through multiple sensory systems and the integration of multisensory information enhances learning. However, the mechanisms underlying multisensory memory formation and their similarity to unisensory mechanisms remain unclear. …”
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Towards 5G：heterogeneous cellular network architecture design based on intelligent SDN paradigm by Yifan ZHOU, Zhifeng ZHAO, Honggang ZHANG

“…To enrich the SDN（software defined networking）with intelligence and learning capability，an intelligent SDN paradigm was proposed for the first time.Combining it with the traditional cellular networks，5G-oriented heterogeneous cellular network architecture based on the intelligent SDN was set up，which made the integrated management of radio access networks and core networks possible.Based on the management and coordination of intelligent SDN，the decoupling of control and data，decoupling of uplink and downlink，and dynamic resource utilization in radio access networks to improve the spectrum efficiency and energy efficiency were put forward；content caching and network security strategies were deployed in the core networks to enhance the network scalability and data throughput.Globally，the resource utilization in radio access networks and core networks was optimized to achieve the network function virtualization and customized service provision，which contributed to the in-depth combination between the heterogeneous cellular networks and intelligent SDN.…”
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A Systems Hypothesis of Lipopolysaccharide-Induced Vitamin Transport Suppression and Metabolic Reprogramming in Autism Spectrum Disorders: An Open Call for Validation and Therapeut... by Albion Dervishi

“…The model focused on 158 curated metabolic genes selected for their roles in redox balance, mitochondrial function, neurodevelopment, and gut–brain interactions. …”
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Automatic in-situ radiometric calibration for mobile laser scanning: Compensating for distance and angle of incidence effects by H. Laasch, T. Medic, A. Wieser

“…The local method computes the best-fitting AOI compensation function per segment, ideally containing a single material. …”
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A modern approach to identifying and characterizing child asthma and wheeze phenotypes based on clinical data. by Bronwyn K Brew, Flaminia Chiesa, Cecilia Lundholm, Anne Örtqvist, Catarina Almqvist

“…All wheeze and asthma phenotypes were associated with reduced lung function and risk of hayfever compared to healthy. …”
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Improving the Minimum Free Energy Principle to the Maximum Information Efficiency Principle by Chenguang Lu

“…However, it has a theoretical flaw, a possibility of being misunderstood, and a limitation (only likelihood functions are used as constraints). This paper first introduces the semantic information G theory and the <i>R</i>(<i>G</i>) function (where <i>R</i> is the minimum mutual information for the given semantic mutual information <i>G</i>). …”
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Optimizing AlexNet for accurate tree species classification via multi-branch architecture and mixed-domain attention by Jianjianxian Liu, Tao Xing, Xiangyu Wang

“…The model integrates a multi-branch convolutional module, a mixeddomain attention module, and a joint loss function to improve feature extraction and class separation. …”
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Devaluing memories of reward: a case for dopamine by Benjamin R. Fry, Nicolette Russell, Victoria Fex, Bing Mo, Nathan Pence, Joseph A. Beatty, Fredric P. Manfredsson, Brandon A. Toth, Christian R. Burgess, Samuel Gershman, Alexander W. Johnson

“…Abstract Midbrain dopamine cells encode differences in predictive and expected value to support learning through reward prediction error. Recent findings have questioned whether reward prediction error can fully account for dopamine function and suggest a more complex role for dopamine in encoding detailed features of the reward environment. …”
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A First-Order Autoregressive Process with Size-Biased Lindley Marginals: Applications and Forecasting by Hassan S. Bakouch, M. M. Gabr, Sadiah M. A. Aljeddani, Hadeer M. El-Taweel

“…Some probabilistic and statistical properties of the proposed process are determined, including the distribution of its innovation process, the Laplace transformation function, multi-step-ahead conditional measures, autocorrelation, and spectral density function. …”
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Impact of Lipid Nutrition on Neural Stem/Progenitor Cells by Nobuyuki Sakayori, Ryuichi Kimura, Noriko Osumi

“…These adult-born neurons are involved in various brain functions, including olfaction-related functions, learning and memory, pattern separation, and mood control. …”
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Inflammatory, fibrotic and endothelial biomarker profiles in COVID-19 patients during and following hospitalization by Fares Darawshy, Dan Padawer, Abed Qadan, Yaser Salaymeh, Neville Berkman

“…Circulating factors associated with fibrosis and endothelial injury remain elevated in COVID-19 survivors and are associated with impaired lung function, indicating that fibrotic and endothelial damage may underlie post-COVID pulmonary sequelae.…”
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FW-S3KIFCM: Feature Weighted Safe-Semi-Supervised Kernel-Based Intuitionistic Fuzzy C-Means Clustering Method by Shirin Khezri, Nasser Aghazadeh, Mahdi Hashemzadeh, Amin Golzari Oskouei

“…Also, it uses a kernel function as a distance metric to tackle noise and outliers. …”
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A Novel Pseudo-Siamese Fusion Network for Enhancing Semantic Segmentation of Building Areas in Synthetic Aperture Radar Images by Mengguang Liao, Longcheng Huang, Shaoning Li

“…Compared to traditional methods, deep learning-driven approaches exhibit superiority in the aspect of stability and efficiency. …”
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