Occupational Therapy Students’ Perceptions of the Role of Robots in the Care for Older People Living in the Community by Sławomir Tobis, Mirosława Cylkowska-Nowak, Katarzyna Wieczorowska-Tobis, Mariola Pawlaczyk, Aleksandra Suwalska

“…In their opinion, the most important functions of the robot were related to health aspects (emergency alarms, health parameters monitoring, physical activity and memory training, and reminders about medication, drinks, etc.), scored positively by 23–26 OTS. …”
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Sleep structure of short-term insomnia disorder with mild cognitive impairment in older adults and their correlation with cognitive function: a case-control study by Jinkun Zeng, Jia Wei, Ruobing Qi

“…In STID-MCI patients, memory scores correlated positively with N3 duration and percentage (p < 0.05), while verbal functions and attention were positively associated with rapid eye movement (REM) sleep duration.ConclusionThis study highlights the potential of PSG in the clinical assessment of cognitive function and underscores the need for targeted interventions to improve sleep quality in this vulnerable population.…”
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Cyber-Physical System Security for Manufacturing Industry 4.0 Using LSTM-CNN Parallel Orchestration by Salman Saeidlou, Nikdokht Ghadiminia, Kwadwo Oti-Sarpong

“…This paper presents an innovative cyber-physical system (CPS) security mechanism, using a long short-term memory (LSTM) network and a convolutional neural network (CNN) coordinated by a parallel orchestration (PLO) algorithm. …”
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Maintenance of intestinal Th17 cells and reduced microbial translocation in SIV-infected rhesus macaques treated with interleukin (IL)-21. by Suresh Pallikkuth, Luca Micci, Zachary S Ende, Robin I Iriele, Barbara Cervasi, Benton Lawson, Colleen S McGary, Kenneth A Rogers, James G Else, Guido Silvestri, Kirk Easley, Jacob D Estes, Francois Villinger, Savita Pahwa, Mirko Paiardini

“…Interleukin (IL)-21 promotes differentiation of Th17 cells, long-term maintenance of functional CD8⁺ T cells, and differentiation of memory B cells and antibody-secreting plasma cells. …”
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Anti-N-Methyl-D-Aspartate Encephalitis as Paraneoplastic Manifestation of Germ-Cells Tumours: A Cases Report and Literature Review by Claudia Geraldine Rita, Israel Nieto Gañan, Adriano Jimenez Escrig, Ángela Carrasco Sayalero

“…There is a wide spectrum of clinical features starting by a viral-like prodrome, followed by symptoms such as psychosis, aggressive behaviour, memory loss, seizures, movement disorders, and autonomic instability. …”
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Results of scoping review do not support mild traumatic brain injury being associated with a high incidence of chronic cognitive impairment: Commentary on McInnes et al. 2017. by Grant L Iverson, Justin E Karr, Andrew J Gardner, Noah D Silverberg, Douglas P Terry

“…The authors concluded that impairment was present in various cognitive domains, such as attention, memory, and executive functioning, but they did not analyze or report the results from any of these specific cognitive domains. …”
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Tunes that move us: the impact of music-induced emotions on prosocial decision-making by Hongwei Wu, Danni Wang, Linshu Zhou

“…Additionally, Theory of Mind and memory strength do not mediate these effects.DiscussionThese findings reveal the role of pure music listening and specific emotional dimensions on prosocial decision-making, providing evidence to support the music-social bonding hypothesis.…”
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A Deep Learning Based Traffic State Estimation Method for Mixed Traffic Flow Environment by Fan Ding, Yongyi Zhang, Rui Chen, Zhanwen Liu, Huachun Tan

“…In addition, to reduce the estimation error caused by penetration rate, we design a Long Short-Term Memory (LSTM) model, which uses penetration rate estimated by Macroscopic Fundamental Diagram (MFD) as one of the input factors. …”
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Spatially Explicit Assessment of Ecosystem Resilience: An Approach to Adapt to Climate Changes by Haiming Yan, Jinyan Zhan, Bing Liu, Wei Huang, Zhihui Li

“…A hierarchical indicator system was designed with the influencing factors of the forest ecosystem resilience, including the stand conditions and the ecological memory, which were further disaggregated into specific indicators. …”
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Prediction Method of TBM Tunneling Parameters Based on Bi-GRU-ATT Model by Qinglong Zhang, Boyu Yang, Yanwen Zhu, Chen Guo, Chong Jiao, Anmin Cai

“…Compared with the Bi-GRU, GRU, and Long Short-Term Memory (LSTM) models, it can be seen that the Bi-GRU-ATT model has a goodness of fit for predicting TBM tunneling parameters above 0.92, and the average absolute percentage error is less than 1.8%. …”
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Deep Learning Approach in Seismology: Enhancing Earthquake Forecasting using K-Means Clustering and LSTM Networks by Tyanita Puti Marindah Wardhani, Zulkifli Tahir, Elly Warni, Anugrayani Bustamin, Muhammad Alief Fahdal Imran Oemar, Muhammad Alwi Kayyum

“…This study utilises historical seismic and proposes innovative data pre-processing methods using K-means clustering to build a Long Short-Term Memory (LSTM) model for earthquake forecasting to overcome high-disparity locations. …”
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The Role of Air Pollution and Olfactory Dysfunction in Alzheimer’s Disease Pathogenesis by Louise Odendaal, Hazel Quek, Carla Cuní-López, Anthony R. White, Romal Stewart

“…AD is recognised for its characteristic deposition of toxic proteins within the brain, leading to a steady deterioration of cognitive capabilities, memory failure, and, ultimately, death. There is burgeoning evidence implying that air pollution may be a contributing factor to this protein build up, thereby intensifying the course of AD. …”
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Short-Term Traffic Prediction considering Spatial-Temporal Characteristics of Freeway Flow by Jiaqi Wang, Yingying Ma, Xianling Yang, Teng Li, Haoxi Wei

“…Second, the hybrid model constructed by long short-term memory and K-nearest neighbor (LSTM-KNN) algorithm using transformed grey wolf optimization is discussed. …”
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Development of Word Board Learning Media to Overcome Reading Difficulties of Third Grade Elementary School Students by Fathya Andini, Sapri Sapri

“…The advantage of this word board media is that it contains letter recognition filled with colours, the letters displayed by the researcher have been adjusted to the needs of students, and the media also focuses on the nuances of the images so that students can easily understand and improve memory. This study aims to develop practical and effective word board learning media for overcoming reading difficulties for grade III students at SDN 064961 Kampung Baru, Kec. …”
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SLEEP AS A FOUNDATION OF SOCIAL HEALTH: A STUDY OF ADOLESCENT HEALTH AND SLEEP QUALITY by Ksenia Yu. Ledyankina

“…The results of the study showed that more than 70% of respondents do not adhere to optimal sleep conditions, leading to chronic sleep deprivation, decreased concentration, impaired memory, and negative effects on emotional well-being. …”
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Perturbative Stability and Error-Correction Thresholds of Quantum Codes by Yaodong Li, Nicholas O’Dea, Vedika Khemani

“…A high free-energy cost of spacelike defects corresponds to a successful “memory experiment” and suppresses the energy splitting among the ground states, while a high free-energy cost of timelike defects corresponds to a successful “stability experiment” and points to a nonzero gap to local excitations.…”
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Re-locative guided search optimized self-sparse attention enabled deep learning decoder for quantum error correction by Umesh Uttamrao Shinde, Ravikumar Bandaru

“…Therefore, this research proposes a Re-locative Guided Search optimized self-sparse attention-enabled convolutional Neural Network with Long Short-Term Memory (RlGS2-DCNTM) for performing effective error correction in quantum codes. …”
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Estimating Network Flowing over Edges by Recursive Network Embedding by Liqun Yu, Hongqi Wang, Haoran Mo

“…We propose to embed the nodes to a continuous vector space so that the embedding vector of each node can be reconstructed from its neighbors by a recursive neural network model, linear normalized long short-term memory. Moreover, we argue that the value of each node is also embedded in the embedding vectors of its neighbors, thus propose to approximate the node value from the output of the neighborhood recursive network. …”
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Echoing Mechanism of Juvenile Delinquency Prevention and Occupational Therapy Education Guidance Based on Artificial Intelligence by Fang Hou

“…Two crime type prediction algorithms based on time-crime type count vectorization and dense neural network and crime type prediction based on the fusion of dense neural network and long- and short-term memory neural network are proposed. The outputs of both are fed into a new neural network for training to achieve the fusion of the two neural networks. …”
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PWR Containment Shielding Calculations with SCALE6.1 Using Hybrid Deterministic-Stochastic Methodology by Mario Matijević, Dubravko Pevec, Krešimir Trontl

“…We investigated benefits and differences of FW-CADIS over CADIS methodology for the objective of the uniform MC particle density in the desired tally regions. Memory intense deterministic module was used with broad group library “v7_27n19g” opposed to the fine group library “v7_200n47g” used for final MC simulation. …”
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