Conservatism of funeral rites of the western Balts by V.I. Kulakov

“…Earlier, I have already noted the desire of the Prussians to preserve the connection of times during funeral ceremonies and the presence of a long memory of their predecessors, which is reflected in the cult reverence. …”
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Developing an Effective Therapeutic HPV Vaccine to Eradicate Large Tumors by Genetically Fusing Xcl1 and Incorporating IL-9 as Molecular Adjuvants by Zhongjie Sun, Zhongyan Wu, Xuncheng Su

“…IL-9 promotes the formation of central memory T cells. Conclusions: the fusion of Xcl1 and the use of IL-9 as a molecular adjuvant represent promising strategies for vaccine development.…”
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Cognitive disorders: Potential astrocyte-based mechanism by Shiyu Li, Yeru Chen, Gang Chen

“…Cognitive disorders are a common clinical manifestation, including a deterioration in the patient's memory ability, attention, executive power, language, and other functions. …”
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An improved asynchronous energy-saving mechanism for IEEE 802.15.5-based networks by Li-yong Yuan, Fei-long Lin, Jun-ke Lv

“…The performance analysis and simulation evaluation show that semi-synchronous energy saving saves more than 80% of energy with less than 30% memory cost compared to asynchronous energy saving, and it also improves the time of completing broadcast and the end-to-end delay.…”
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Effects of Diet on Brain Plasticity in Animal and Human Studies: Mind the Gap by Tytus Murphy, Gisele Pereira Dias, Sandrine Thuret

“…Moreover, we also discuss epidemiological and intervention studies reporting the effects of CR, IF and dietary polyphenols and PUFAs on learning, memory, and mood. In particular, we evaluate the gap in mechanistic understanding between recent findings from animal studies and those human studies reporting that these dietary factors can benefit cognition, mood, and anxiety, aging, and Alzheimer’s disease—with focus on the enhancement of structural and functional plasticity markers in the hippocampus, such as increased expression of neurotrophic factors, synaptic function and adult neurogenesis. …”
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Performance Improvement Based Authentication Protocol for Intervessel Traffic Service Data Exchange Format Protocol Based on U-Navigation System in WoT Environment by Byunggil Lee, Namje Park

“…It is too slow to be used in the field and requires a large memory. And the vessel traffic information requires high security since it is highly protected by the countries. …”
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Augmenting flexibility: mutual inhibition between inhibitory neurons expands functional diversity by Belle Liu, Alexander James White, Chung-Chuan Lo

“…These CRIRELs have the advantage of being both multi-functional and controllable, performing a plethora of functions, including decisions, memory, toggle, and so forth. Finally, we demonstrate how mutual inhibition maximizes storage capacity for larger networks.…”
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Power Quality Assessment and Optimization in FUZZY-Driven Healthcare Devices by Dinesh Kumar Nishad, Saifullah Khalid, Rashmi Singh

“…This paper introduces an innovative FUZZY-driven energy management system that combines convolutional neural networks (CNNs) for real-time power quality event detection, long short-term memory (LSTM) networks for predictive analytics, and reinforcement learning for optimized control. …”
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Survey of Distributed Computing Frameworks for Supporting Big Data Analysis by Xudong Sun, Yulin He, Dingming Wu, Joshua Zhexue Huang

“…In performing such tasks, these frameworks face three challenges: computational inefficiency due to high I/O and communication costs, non-scalability to big data due to memory limit, and limited analytical algorithms because many serial algorithms cannot be implemented in the MapReduce programming model. …”
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Non-Markovian spiking statistics of a neuron with delayed feedback in presence of refractoriness by Kseniia Kravchuk, Alexander Vidybida

“…    Recently, [35,6], it was proven for a neuron withdelayed feedback and without the refractory state,that the output stream of interspike intervals (ISI)cannot be represented as a Markov process.The refractory state presence, in a sense limits the memory range in thespiking process, which might restore Markov property to the ISI stream.…”
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Time-selective data fusion for in-network processing in ad hoc wireless sensor networks by Jaanus Kaugerand, Johannes Ehala, Leo Mõtus, Jürgo-Sören Preden

“…For example, assigning processing intervals of network nodes, defining validity and simultaneity requirements for data items, determining the size of memory required for buffering the data streams produced by ad hoc nodes and other relevant aspects. …”
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Domownik Workbook. A Resource for Shaping Children’s Cultural Identity in Grades I–III by Kinga Lisowska

“…These features guide the pupil towards the knowledge and education of language (linguistic codes), customs (communal celebrations), history (collective memory) and being rooted in religion. They also mobilise them to explore the values and principles characteristic of the Catholic Church community in Poland and to open up to the experiences that make up the structure of an individual’s identity embedded in the reality of affiliation and identification with a particular social community. …”
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Pain catastrophising in Chinese patients with breast cancer during postoperative chemotherapy: a qualitative study by Jing Ma, Jingyi Wang, Hongying Wang, Chen Tang, Yanting Zhang, Wenjia Long, Jun Zhong

“…The interview data were sorted out and analysed by content analysis method.Results A total of 11 patients were interviewed and five categories were summarised: (1) Physical memory of pain; (2) the special meaning of time; (3) disease treatment and prognosis; (4) interpersonal communication and coping; (5) personal behaviour and growth.Conclusion Patients with breast cancer have adverse pain experience during postoperative chemotherapy. …”
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Global remapping emerges as the mechanism for renewal of context-dependent behavior in a reinforcement learning model by David Kappel, Sen Cheng

“…Remapping is facilitated by memory replay of experiences during training.DiscussionOur results show that integrated codes that jointly represent spatial and task-relevant contextual variables are the mechanism underlying renewal in a simulated DQN agent.…”
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Spatiotemporal Traffic Flow Prediction with KNN and LSTM by Xianglong Luo, Danyang Li, Yu Yang, Shengrui Zhang

“…To improve the prediction accuracy, a spatiotemporal traffic flow prediction method is proposed combined with k-nearest neighbor (KNN) and long short-term memory network (LSTM), which is called KNN-LSTM model in this paper. …”
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DNA promoter task-oriented dictionary mining and prediction model based on natural language technology by Ruolei Zeng, Zihan Li, Jialu Li, Qingchuan Zhang

“…Techniques such as convolutional neural networks (CNNs), long short-term memory (LSTM) networks, and BERT models have been particularly impactful. …”
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A Multiscale and High-Precision LSTM-GASVR Short-Term Traffic Flow Prediction Model by Jingmei Zhou, Hui Chang, Xin Cheng, Xiangmo Zhao

“…This method uses 15 min traffic flow data of the first 16 sections as input and completes the data preprocessing operation through reconstruction, normalization, and rising dimension by working day factor; establishing the prediction model based on the long- and short-term memory network (LSTM) and inverse normalization; and proposing the GA-SVR model to optimize the prediction results, so as to realize the real-time high-precision prediction of traffic flow. …”
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Urban Landscape in Circular Images: Panoramas and Cylindrical Anamorphosis by Fabrizio Agnello, Maria Isabella Grammauta

“…In panoramas, the city cannot be seen at a glance, as the overall image can be formed only in the observer’s memory, as a combination of the partial views of the cylindrical canvas. …”
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An Exploratory Study of Intensive Neurofeedback Training for Schizophrenia by Wenya Nan, Feng Wan, Lanshin Chang, Sio Hang Pun, Mang I. Vai, Agostinho Rosa

“…The results showed that her alpha/beta2 increased over sessions, and her behavior performance including short-term memory, mood, and speech pattern was improved at the end of neurofeedback training. …”
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Detecting Attacks and Estimating States of Power Grids from Partial Observations with Machine Learning by Zheng-Meng Zhai, Mohammadamin Moradi, Ying-Cheng Lai

“…We articulate a machine-learning framework to address this problem, where the necessity to deal with sequential time-series data with dynamical memories and to avoid a vanishing gradient has led us to choose the long short-term memory (LSTM) architecture. …”
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