In vitro functional validation of anti-CD19 chimeric antigen receptor T cells expressing lysine-specific demethylase 1 short hairpin RNA for the treatment of diffuse large B cell l... by Zhi Guo, Zhi Guo, Mingxin He, Ning Liu, Yiqing Yang, Rui Sun, Jianxun Wang, Qiang Wang

“…We also used flow cytometry to detect the central memory T cell (TCM) proportion.ResultsWe detected the expression of the CAR in the CAR-T cells by flow cytometry, and observed transduction rates of 31.5% for RNAU6 anti-CD19 CAR-T cells and 60.7% for LSD1 shRNA anti-CD19 CAR-T cells. …”
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Outer retina micro-inflammation is driven by T cell responses prior to retinal degeneration in early age-related macular degeneration by Lucas Stürzbecher, Lucas Stürzbecher, Lucas Stürzbecher, Lucas Stürzbecher, Hendrik Bartolomaeus, Hendrik Bartolomaeus, Hendrik Bartolomaeus, Hendrik Bartolomaeus, Theda U. P. Bartolomaeus, Theda U. P. Bartolomaeus, Theda U. P. Bartolomaeus, Theda U. P. Bartolomaeus, Sylvia Bolz, Andjela Sekulic, Marius Ueffing, Marius Ueffing, Simon J. Clark, Simon J. Clark, Simon J. Clark, Nadine Reichhart, Sergio Crespo-Garcia, Nicola Wilck, Nicola Wilck, Nicola Wilck, Nicola Wilck, Olaf Strauß

“…Furthermore, flow cytometry and gene expression analysis were used on ocular and splenic tissues of Cx3cr1GFP/GFP and C57BL/6J mice at 8 and 12 months of age to characterize the dynamics of local and systemic T cell populations.ResultsWe show the presence of memory T cells such as CD45RO+ cells in the choroid and retina of patients with AMD with a peak of abundance in early stages of AMD. …”
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A Real-Time and Closed-Loop Control Algorithm for Cascaded Multilevel Inverter Based on Artificial Neural Network by Libing Wang, Chengxiong Mao, Dan Wang, Jiming Lu, Junfeng Zhang, Xun Chen

“…It costs little computation time and memory. It has two steps. In the first step, hierarchical particle swarm optimizer with time-varying acceleration coefficient (HPSO-TVAC) algorithm is employed to minimize the total harmonic distortion (THD) and generate the optimal switching angles offline. …”
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MetaQ: fast, scalable and accurate metacell inference via single-cell quantization by Yunfan Li, Hancong Li, Yijie Lin, Dan Zhang, Dezhong Peng, Xiting Liu, Jie Xie, Peng Hu, Lu Chen, Han Luo, Xi Peng

“…Abstract To overcome the computational barriers of analyzing large-scale single-cell sequencing data, we introduce MetaQ, a metacell algorithm that scales to arbitrarily large datasets with linear runtime and constant memory usage. Inspired by cellular development, MetaQ conceptualizes each metacell as a collective ancestor of biologically similar cells. …”
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ANALYSIS OF THE RESULTS OF SIMULATIVE MODELLING OF THE INFORMATION SECURITY SYSTEM IN THE CORPORATE NETWORKS OF HIGHER EDUCATION INSTITUTIONS by Vagif Gasimov, Balami Ismailov

“…This method makes it possible to obtain the main characteristics of the ISS from the UA with an unlimited amount of buffer memory (BM). Models, an algorithm and a methodology for the development of ISS from UA are proposed, which is considered as a single-phase multi-channel QS with an unlimited volume of BM. …”
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Persistent Health and Cognitive Impairments up to Four Years Post-COVID-19 in Young Students: The Impact of Virus Variants and Vaccination Timing by Ashkan Latifi, Jaroslav Flegr

“…<b>Results:</b> Our results suggest that some health and cognitive impairments may persist, with some even appearing to progressively worsen—particularly fatigue in women and memory in men—up to four years post-infection. The data further indicate that the ancestral SARS-CoV-2 variant may have the most significant long-term impact, while the Omicron variant appears to have the least. …”
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Intelligent classification of computer vulnerabilities and network security management system: Combining memristor neural network and improved TCNN model. by Zhenhui Liu

“…The MNN, by simulating the memory effect of biological neurons, effectively captures the complex nonlinear relationships within vulnerability data, thereby enhancing the data insight capabilities of the network security management system. …”
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Early Window Tailoring: A New Approach to Increase the Number of TCP Connections Served by Marcos Talau, Mauro Fonseca, Emilio C. G. Wille

“…Some studies have shown promise, such as the use of gateway techniques to change the receiver’s advertised window of ACK segments based on the amount of memory in the gateway; in this work, we use the term “network-return” to refer to these techniques. …”
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CINNAMON-GUI: Revolutionizing Pap Smear Analysis with CNN-Based Digital Pathology Image Classification [version 1; peer review: 2 approved] by Luca Zammataro

“…Key features include intuitive UI components, real-time image and plot generation, memory-efficient data handling, and robust training capabilities with customizable CNN architectures. …”
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Forkhead Box Protein-3 Gene Expression of Purified Human Peripheral Blood Mononuclear Cells Treated with Methicillin-Resistant Staphylococcus aureus-Somatic Antigens and Hepatitis... by Entidhar A. Hadi, Mohammad A. K. Al-Saadi, Kaiser N. Madlum

“…Background: Optimal hepatitis B virus (HBV) vaccine efficacy linked to producing systemic and mucosal antibodies and cellular immunological memory requires a complete set of immunological responses. …”
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A hybrid deep learning air pollution prediction approach based on neighborhood selection and spatio-temporal attention by Gang Chen, Shen Chen, Dong Li, Cai Chen

“…The proposed approach, termed KSC-ConvLSTM, integrates the k-nearest neighbors (KNN) algorithm, spatio-temporal attention (STA) mechanism, the residual block, and convolutional long short-term memory (ConvLSTM) neural network. The KNN algorithm adaptively selects highly correlated neighboring domains, while the residual block, enhanced with the STA mechanism, extracts spatial features from the input data. …”
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Design of a Multiepitope Pan-Proteomic mRNA Vaccine Construct Against African Swine Fever Virus: A Reverse Vaccinology Approach by Ella Mae Joy S. Sira, Lauren Emily Fajardo, Edward C. Banico, Nyzar Mabeth O. Odchimar, Fredmoore L. Orosco

“…Immune simulations demonstrated successful induction of immune responses and generation of antigen-specific memory cells. In conclusion, this study introduces an mRNA vaccine construct as a potential disease control strategy against ASF for in vitro confirmation.…”
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Climate-driven hydrological sensitivity in Estonian catchments: a northern temperate perspective by Oliver Koit, Joonas Pärn, Marlen Hunt, Siim Tarros, Elve Lode, Pamela Abreldaal

“…Key findings include diverse catchment sensitivities to groundwater recharge, the role of baseflow in streamflow stabilization, the memory effect in catchment responses, and insights from the flow duration curve on flow variability and extremes. …”
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Deep brain stimulation of the anterior cingulate cortex reduces opioid addiction in preclinical studies by Mahdi Fatemizadeh, Esmail Riahi, Gholamreza Hassanzadeh, Anahita Torkaman-Boutorabi, Forough Radfar, Maryam Farahmandfar

“…While DBS in the acquisition and extinction phases at both intensities restored NOR memory, only DBS at 200 µA recovered locomotor activity in the open field test. …”
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AfriSign: African sign languages machine translation by Kate Takyi, Rose-Mary Owusuaa Mensah Gyening, Shester Msouobu Gueuwou, Marco Stanley Nyarko, Richard Adade, Reindorf Nartey Borkor, Samuelson Israel Boadu-Acheampong, Linus Tabari

“…The results from our experiments prove that having one Multilingual model for all the languages tends to be a better choice when deployed in real system in terms of memory usage with an accuracy of 94.6% and precision of 97.3%. …”
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Applying Hybrid Deep Learning Models to Assess Upper Limb Rehabilitation by Sheng Miao, Zitong Liu, Dezhen Wang, Xiang Shen, Nana Shen

“…The method uses a monocular camera to capture video data from the patient&#x2019;s upper limb rehabilitation training, utilizes Faster R-CNN and HRNet to recognize the human body position and upper limb bone key point information, and then builds a long short-term memory (LSTM) neural network model incorporating the ProbSparse Self-Attention mechanism to evaluate the rehabilitation training movements. …”
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Innovative machine learning approaches for indoor air temperature forecasting in smart infrastructure by Nataliya Shakhovska, Lesia Mochurad, Rosana Caro, Sotirios Argyroudis

“…At the core of this study is the application of Long Short-Term Memory (LSTM) networks for time-series modeling, which significantly enhances the capture of temporal dependencies in temperature predictions. …”
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Oxytocin: co-evolution of human and domesticated animals by Yu. E. Herbeck, R. G. Gulevich, D. V. Shepeleva, V. V. Grinevich

“…Therefore, in the present mini-review we focus on the role of OT in the orchestration of distinct forms of social behavior, including the monogamous bond, maternal care, social memory and recognition, aggression, and anxiety. As a conclusion, we propose possible directions for exploration of the OT contribution to empathy between humans and domesticated animals, which was likely established in the course of their co-evolution during last 10.000– 15.000 years.…”
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Multi-Layer Perceptron Model Integrating Multi-Head Attention and Gating Mechanism for Global Navigation Satellite System Positioning Error Estimation by Xiuxun Liu, Zuping Tang, Jiaolong Wei

“…In particular, the root mean square error of the presented method in the first dataset is 0.239 m, which is <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>39.2</mn><mo>%</mo></mrow></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>17</mn><mo>%</mo></mrow></semantics></math></inline-formula> lower than the current state-of-the-art long short-term memory network and convolutional neural network, respectively. …”
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Versatile graceful degradation framework for bio-inspired proprioception with redundant soft sensors by Taku Sugiyama, Kyo Kutsuzawa, Dai Owaki, Elijah Almanzor, Fumiya Iida, Mitsuhiro Hayashibe

“…This paper proposes a novel framework for graceful degradation in redundant soft sensor systems, incorporating a stochastic Long Short-Term Memory (LSTM) and a Time-Delay Feedforward Neural Network (TDFNN). …”
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