Static Memory Research Articles

Specific immune response to M. tuberculosis and ability to in vitro control mycobacterial replication are not impaired in subjects with immune-mediated inflammatory disease and tuberculosis infection

BackgroundSubjects with immune-mediated inflammatory diseases (IMID), such as rheumatoid arthritis, with tuberculosis infection (TBI), have a high probability of progressing to tuberculosis disease (TB). We aim to characterize the impact of IMID on the immune response to M. tuberculosis (Mtb) in patients with TBI and TB disease.MethodsWe enrolled TBI and TB patients with and without IMID. Peripheral blood mononuclear cells (PBMCs) were stimulated with Mtb-derived epitopes (MTB300). By flow-cytometry, we identified the Mtb-specific CD4+ T cells as cytokine-producing T cells or as CD25+ CD134+ CD4+ T cells. Memory and activation status of Mtb-specific T cells were assessed by evaluating: CD153, HLA-DR, CD45RA, CD27. Mycobacterial growth inhibition assay (MGIA) was used to evaluate the ability of PBMCs to inhibit mycobacteria growth. A long-term stimulation assay was used to detect a memory response.ResultsThe IMID status and therapy did not affect the magnitude of response to Mtb-antigen stimulation and the number of responders. TBI-IMID showed a cytokine profile like TBI and TB patients. The Mtb response of TBI-IMID patients was characterized by an effector memory and central memory phenotype as in TBI and TB groups. This memory phenotype allowed the increased IFN-γ production after 6 days of MTB300-stimulation. HLA-DR expression on Mtb-specific T cells was associated with TB, whereas CD153 was associated with TBI status. Finally, the TBI-IMID had an MGIA response like TBI and TB patients.ConclusionIMID condition does not affect key aspects of the immune response to Mtb, such as the cytokine response, memory and activation profile, and the ability to contain the mycobacteria replication. The immunological characterization of the fragile population of TBI-IMID patients is fundamental to understanding the correlation between protection and disease.

Molecular-scale in-operando reconfigurable electronic hardware.

It is challenging to reconfigure devices at molecular length scales. Here we report molecular junctions based on molecular switches that toggle stably and reliably between multiple operations to reconfigure electronic devices at molecular length scales. Rather than static on/off switches that always revert to the same state, our voltage-driven molecular device dynamically switches between high and low conduction states during six consecutive proton-coupled electron transfer steps. By changing the applied voltage, different states are accessed resulting in in operando reconfigurable electronic functionalities of variable resistor, diode, memory, and NDR (negative differential conductance). The switching behavior is voltage driven but also has time-dependent features making it possible to access different memory states. This multi-functional switch represents molecular scale hardware operable in solid-state devices (in the form of electrode-monolayer-electrode junctions) that are interesting for areas of research where it is important to have access to time-dependent changes such as brain-inspired (or neuromorphic) electronics.

Dynamic P-glycoprotein expression in early and late memory states of human CD8 + T cells and the protective role of ruxolitinib

Dynamic P-glycoprotein expression in early and late memory states of human CD8 + T cells and the protective role of ruxolitinib

Prior memory responses modulate behavior and brain state engagement

Memory encoding and retrieval constitute neurally dissociable brain states and prior behavioral work suggests that these states may linger in time. Thus memory states may influence both the current experience and subsequent events; however, this account has not been directly tested. To test the hypothesis that memory judgments induce brain states that persist for several hundred milliseconds, we recorded scalp electroencephalography while participants completed a recognition task. We used an independently validated multivariate mnemonic state classifier to assess memory state engagement. We replicate previous behavioral findings, yet we find that memory states are modulated by response congruency. We find strong retrieval state engagement on incongruent trials, when the response switches between two consecutive trials. These findings indicate that cortical brain states are influenced by prior judgments and suggest that a non-mnemonic, internal attention state may be recruited in the face of changing demands in a dynamic environment.

Trivalent Ionic Molecular Bridges as Efficient Charge-Trapping Method for All-Solid-State Organic Synaptic Transistors toward Neuromorphic Signal Processing Applications.

Achieving high retention of memory state is crucial in artificial synapse devices for neuromorphic computing systems. Of various memorizing methods, a charge-trapping method provides fast response times when it comes to the smallest size of electrons. Here, for the first time, it is demonstrated that trivalent molecular bridges with three ionic bond sites in the polymeric films can efficiently trap electrons in the organic synaptic transistors (OSTRs). A water-soluble polymer with sulfonic acid groups, poly(2-acrylamido-2-methyl-1-propanesulfonic acid) (PAMPSA), is reacted with melamine (ML) to make trivalent molecular bridges with three ionic bond sites for the application of charge-trapping and gate-insulating layer in all-solid-state OSTRs. The OSTRs with the PAMPSA:ML layers are operated at low voltages (≤5V) with pronounced hysteresis and high memory retention characteristics (ML = 25 mol%) and delivered excellent potentiation/depression performances under modulation of gate pulse frequency. The optimized OSTRs could successfully process analog (Morse/Braile) signals to synaptic current datasets for recognition/prediction logics with an accuracy of >95%, supporting strong potential as all-solid-state synaptic devices for neuromorphic systems in artificial intelligence applications.

TdCCA with Dual-Modal Signal Fusion: Degenerated Occipital and Frontal Connectivity of Adult Moyamoya Disease for Early Identification.

Cognitive impairment in patients with moyamoya disease (MMD) manifests earlier than clinical symptoms. Early identification of brain connectivity changes is essential for uncovering the pathogenesis of cognitive impairment in MMD. We proposed a temporally driven canonical correlation analysis (TdCCA) method to achieve dual-modal synchronous information fusion from electroencephalogram (EEG) and functional near-infrared spectroscopy (fNIRS) for exploring the differences in brain connectivity between MMD and normal control groups. The dual-modal fusion features were extracted based on the imaginary part of coherence of the EEG signal (EEG iCOH) and the Pearson correlation coefficients of the fNIRS signal (fNIRS COR) in the resting and working memory state. The machine learning model showed that the accuracy of TdCCA method reached 97%, far higher than single-modal features and feature-level fusion CCA method. Brain connectivity analysis revealed a significant reduction in the strength of the connections between the right occipital lobe and frontal lobes (EEG iOCH: p = 0.022, fNIRS COR p = 0.011) in MMD. These differences reflected the impaired transient memory and executive function in MMD patients. This study contributes to the understanding of the neurophysiological nature of cognitive impairment in MMD and provides a potential adjuvant early identification method for individuals with chronic cerebral ischemia.

Angstrom Scale Ionic Memristors' Engineering with van der Waals Materials: A Route to Highly Tunable Memory States.

Memristors that mimic brain functions are crucial for energy-efficient neuromorphic devices. Ion channels that emulate biological synapses are still in the early stages of development, especially the tunability of memory states. Here, we demonstrate that cations such as K+, Na+, Ca2+, and Al3+ intercalated in the interlayer spaces of vermiculite result in highly confined channels of size 3-5 Å. They host exotic memristor properties through ion exchange dynamics, even at high salt concentrations of 1 M. The bipolar memristor characteristics observed are tunable with frequency, geometric asymmetry, ion concentration, and intercalants. Notably, we observe polarization-flipping memristor behavior in two cases: one with Al3+ ions and another with devices having a geometric asymmetry ratio greater than 15. This inversion is attributed to the overscreening of counterions due to their accumulation at the channel entrance. Our results suggest that ion exchange dynamics, ion-ion interactions, and ion accumulation/depletion mechanisms, particularly with multivalent ions, can be harnessed to develop advanced memristor devices.

Effects of intermittent fasting on body composition, clinical health markers and memory status in the adult population: a single-blind randomised controlled trial

IntroductionDespite the popularity and potential protective effects of intermittent fasting (IF) against metabolic disorders, more human trials must be conducted to highlight its effects on human health. Therefore, the present trial aimed to investigate the effect of IF on the body composition, health markers, and memory status of obese and overweight adults.MethodsA parallel randomised controlled trial was conducted in Lahore, Pakistan, with 30 participants recruited from each of the three arms (regular diet, customised diet, and IF group) with a follow-up period of 12 weeks.ResultsThere was no significant difference in the mean percentage change in BMI at the end of the study period (p = 0.55). The IF group exhibited a negative median change (-4.41%) in systolic blood pressure compared with the other two groups (p = 0.014), with no difference among the groups in diastolic blood pressure or blood sugar levels (p > 0.05). The percentage change in waist circumference was more significant in the IF group than in the control group, with a significant improvement in the median percentage change in total cholesterol, LDL, triglyceride, and HDL levels (p < 0.05) as well as in the memory score (p < 0.05).ConclusionThis study revealed that IF helps improve participants’ lipid parameters, systolic blood pressure, and memory status.Trial RegistrationThe present study is registered at the registry of Clinicaltrials.gov with identity number NCT05521945 and registration date 30/08/22.

OLM-SLAM: online lifelong memory system for simultaneous localization and mapping

Abstract Simultaneous Localization and Mapping is a fundamental task for robots in unknown environments. However, the poor generalization ability of learning-based algorithms in unknown environments hinders their widespread adoption. Additionally, artificial neural networks are subject to catastrophic forgetting. We propose a lifelong SLAM framework called OLM-SLAM that effectively solves the neural network catastrophic forgetting problem. To ensure the generalization of the neural network, this paper proposes a method for the sensitivity analysis of the network weight parameters. Meanwhile, inspired by human memory storage mechanisms, we design a dual memory storages mechanism that retains dynamic memory and static memory. A novel memory filtering mechanism is proposed to maximize image diversity within a fixed-size memory storage area addressing the problem of limited storage capacity of embedded devices in real-world situations. We have extensively evaluated the model on a variety of real-world datasets. Compared with CL-SLAM, the overall translation error of the test sequence is improved by 44.9%. The translation and rotation errors of Retention Ability (RA) were improved by 111.6% and 66.7%, respectively. The results demonstrate that OLM-SLAM can outperform previous methods of the same type, and OLM-SLAM has high RA when facing different sequences of the same type of environment.

Organic Nonvolatile 2T Memory Cell Employing a NOT-Gate-Like Architecture Toward Binary Output Level With Enhanced Noise Tolerance.

Organic nonvolatile memory has been considered a low-cost memory technology for flexible electronics and Internet-of-things (IoT). However, a major concern is the nonuniformity of memory units, which is primarily caused by random grain boundaries, interface defects, and charge traps, making it difficult to develop high-density reliable memory arrays. This nonuniformity problem would induce read error, which is directly caused by the narrow distribution margin of memory states and low noise tolerance in conventional organic memory cells. To break this limitation, a novel 2T memory cell employing a NOT-gate-like architecture achieving self-enhancing noise tolerance is presented. This unique cell consists of a pair of commonly-gated memory transistors with contradictory "write-and-erase" features. It functions as a voltage divider, producing a well-distinguished binary voltage output capability. The concept and design model of this brand-new 2T memory cell is thoroughly discussed. It is originally characterized by noise-tolerant memory cells irrespective of device nonuniformity. The noise tolerance range of this 2T memory cell is also investigated. The binary voltage-readable memory state with a large noise tolerance range is obtained. Moreover, the conceptual design of the 1T2T FeRAM cell is further developed for low-cost voltage-readable memory technology in wearable electronic applications.

Memory-enhanced hierarchical transformer for video paragraph captioning

Video paragraph captioning aims to describe a video that contains multiple events with a paragraph of generated coherent sentences. Such a captioning task is full of challenges since the high requirements for visual–textual relevance and semantic coherence across the captioning paragraph of a video. In this work, we introduce a memory-enhanced hierarchical transformer for video paragraph captioning. Our model adopts a hierarchical structure, where the outer layer transformer extracts visual information from a global perspective and captures the relevancy between event segments throughout the entire video, while the inner layer transformer further mines local details within each event segment. By thoroughly exploring both global and local visual information at the video and event levels, our model can provide comprehensive visual feature cues for promising paragraph caption generation. Additionally, we design a memory module to capture similar patterns among event segments within a video, which preserves contextual information across event segments and updates its memory state accordingly. Experimental results on two popular datasets, ActivityNet Captions and YouCook2, demonstrate that our proposed model can achieve superior performance, generating higher quality caption while maintaining consistency in the content of video.

Cognitive decline in relation to later-life high temperature exposure in a Chinese nationwide cohort

Growing evidence has linked extreme temperature with neuropsychiatric disorders under climate warming with frequent extreme heat events over the past decades, while cognitive performance in relation to heat exposure remains largely unstudied, particularly in populations at high vulnerability to climate risks (e.g., China). Based on five survey waves of a nationwide dynamic cohort (2011–2020), we analyzed 47,825 cognitive test records from 14,729 respondents aged 45+ years across 126 Chinese cities. Global cognitive performance and its two dimensions (episodic memory and mental status) was measured using standardized questionnaires. Temperature exposure prior to cognitive tests was assessed using both average temperatures and heat days exceeding predefined temperature thresholds. Linear mixed-effects models were utilized to examine the relationship between high temperature exposure and cognitive function. This study revealed consistent evidence for heat-related declines in global cognitive performance and episodic memory across multiple exposure-window analyses, while robust associations were observed solely during prolonged exposure periods (more than 90 d) for mental status. For each 1-°C rise in annual mean temperature within 1 year prior to investigation, cognitive scores declined by 0.058 (95% CI: −0.079, −0.037) points for global performance, 0.033 (95% CI: −0.048, −0.018) points for episodic memory, and 0.025 (95% CI: −0.038, −0.013) points for mental status, respectively. Similar findings were seen in analyses using heat exposure days defined by multiple temperature percentiles, linking per 10-d increase in heat duration to reduced global cognitive scores ranging from −0.142 (95% CI: −0.214, −0.070) to −0.168 (95% CI: −0.254, −0.082). Despite varied evidence by heat exposure metrics and cognitive dimensions, stratified analyses suggested possibly higher susceptibility among females, less-educated, and urban-dwelling residents to heat-related cognitive impairment. These results provided suggestive evidence for the role of exposure to heat in triggering cognitive impairment in middle-aged and older individuals. This finding may be crucial in developing public health strategies for managing climate change risks of neurobehavioral disorders in a healthy aging society.

Infrared finite scattering theory: Amplitudes and soft theorems

Any nontrivial scattering with massless fields in four spacetime dimensions will generically produce an out-state with memory. Scattering with any massless fields violates the standard assumption of asymptotic completeness—that all “in” and “out” states lie in the standard (zero-memory) Fock space—and therefore leads to infrared divergences in the standard S-matrix amplitudes. In this paper, we define an infrared finite scattering theory which assumes only (1) the existence of in-/out-algebras and (2) that Heisenberg evolution is an automorphism of these algebras. The resulting “superscattering” map $ allows for transitions between different in/out memory states and agrees with the standard S matrix when it is defined. We construct $ amplitudes by defining (3) a “generalized asymptotic completeness” which accommodates states with memory in the space of asymptotic states and (4) a complete basis of improper states that generalize the usual n-particle momentum basis to account for states with memory. Using only general properties of $, we prove an analog of the Weinberg soft theorems in quantum gravity and QED which imply that all $ amplitudes are well defined in the infrared. We comment on how one must generalize this framework to consider $ amplitudes for theories with collinear divergences (e.g., massless QED and Yang-Mills theories). Published by the American Physical Society 2024

OMIP-109: 45-color full spectrum flow cytometry panel for deep immunophenotyping of the major lineages present in human peripheral blood mononuclear cells with emphasis on the T cell memory compartment.

The need for more in-depth exploration of the human immune system has moved the flow cytometry field forward with advances in instrumentation, reagent development and availability, and user-friendly implementation of data analysis methods. We developed a high-quality human 45-color panel, for comprehensive characterization of major cell lineages present in circulation including T cells, γδ T cells, NKT-like cells, B cells, NK cells, monocytes, basophils, dendritic cells, and ILCs. Assay optimization steps are described in detail to ensure that each marker in the panel was optimally resolved. In addition, we highlight the outstanding discernment of cell activation, exhaustion, memory, and differentiation states of CD4+ and CD8+ T cells using this 45-color panel. The panel enabled an in-depth description of very distinct phenotypes associated with the complexity of the T cell memory response. Furthermore, we present how this panel can be effectively used for cell sorting on instruments with a similar optical layout to achieve the same level of resolution. Functional evaluation of sorted specific rare cell subsets demonstrated significantly different patterns of immunological responses to stimulation, supporting functional and phenotypic differences within the T cell memory subsets. In summary, the combination of full spectrum profiling technology and careful assay design and optimization results in a high resolution multiparametric 45-color assay. This panel offers the opportunity to fully characterize immunological profiles present in peripheral blood in the context of infectious diseases, autoimmunity, neurodegeneration, immunotherapy, and biomarker discovery.

A FinFET-based static memory cell optimized for stability and low power consumption

A FinFET-based static memory cell optimized for stability and low power consumption

Role of Trapping in Non‐Volatility of Electrochemical Neuromorphic Organic Devices

AbstractArtificial Neural Networks (ANN) require a better platform to reduce their energy consumption and achieve their full potential. Electrochemical devices like the Electrochemical Neuromorphic Organic Device (ENODe) stand out as a potential building block for ANNs, due to their lower energy demand, in addition to their biocompatibility and access to multiple and stable memory levels. However, the non‐volatile effect observed in these devices is not yet fully understood. Hence, here we propose a 2D drift‐diffusion model that is capable to reproduce the device behavior. The model relies on the assumption of trapping sites for cations, which are increasingly filled or emptied during subsequent pre‐synaptic pulses. The model is verified by experiments on devices with varying post‐synaptic dimensions. Overall, the results provide a framework to discuss ENODe operation and design strategies for ENODes with well‐controlled memory states.

Communication Apprehension and Coping Strategies of the English Language Learners: Basis for Interactive Activities Enrichment

Communication apprehension is an uneasiness experienced by all individuals, especially when speaking. Meanwhile, coping strategies are approaches people use in dealing with anxiety. This study determined the level of communication apprehension and coping strategies of the BSED-English major students of the College of Education (CED), Jose Rizal Memorial State University-Tampilisan Campus. The researchers used the descriptive survey method utilizing the survey-questionnaire checklists. The first instrument was adopted from McCroskey's (1981) cited in Diane (2015) Personal Report of Communication Apprehension 24 (PRCA-24). The other one is the validated researchers-made survey statements comprising 30-item statements categorized as strategies for overcoming communication apprehension in group discussions, meetings, interpersonal conversation, and public speaking, with a Cronbach's alpha value of &gt;0.70. The researchers also adopted McCroskey and Richmond's coding and scoring system, weighted mean, and frequency count. Results show that most of the English major students in JRMSU-TC have a moderate level of communication apprehension. Further, there is a difference in the level of communication apprehension when grouped according to group discussion, meetings, interpersonal communication, and public speaking, as well as in the overall weighted mean. Therefore, there is a difference in the level of communication apprehension of the BSED English major students when grouped according to year level. In terms of coping strategies, students used the following strategies: accepting cultural differences, paying attention when talking to others and considering their cultural views, thoroughly preparing before the speech, and thinking of intrinsic and extrinsic motivation as a reward. In this connection, there are proposed interactive activities that may help overcome the students' communication apprehension.

Digitized Mathematics Module: Its Acceptability and Influence on Students’ Motivation and Performance

With the shift to online learning or distance education programs, higher education, in particular, has to focus on ways to cater with the demand of its clientele. Thus, Jose Rizal Memorial State University-Katipunan Campus developed a Digitized Mathematics Module to adapt with the changing landscape of education. However, it is imperative to determine if the module is effective. Thus, the study aimed to determine the acceptability of students towards the digitized Mathematics module and its influence on their motivation and performance of the Mathematics in the Modern World course. Utilizing a descriptive-correlational design, and stratified technique, the study employed one hundred seventy- two (172) students enrolled in Mathematics in the Modern World classes during the first semester of academic year 2020-2021 as respondents of the study. Two sets of questionnaires, adopted from Rio (2014) and Keller (2010), were used as instruments to yield the necessary data for the study. Frequency count, percentage, mean, chi-square, and Somer’s D were the main statistical tools used. Based on the results, the Digitized Mathematics Module is acceptable. The study also revealed that the acceptability of digitized Mathematics module, level of students’ motivation, and students’ Mathematics performance have no significant relationship. As the students accepted the digitized module, they also claimed that they were motivated. Though the module is accepted at a certain level, it is still recommended that the mathematics module needs to be improved so that its acceptability level turns into very acceptable. Instructional Materials and Development Committee (IMDC) may intensify quality assurance in preparing the module to improve its acceptability and motivation levels. The researcher is also proposing to conduct an online seminar workshop serving as an intervention to increase the acceptability of the digitized Mathematics module.

Awareness and Implications of the Rice Tariffication Law (Republic Act 11203) among Irrigation Association Members in Dipolog City, Philippines

The Rice Tariffication Law, enacted in the Philippines in 2019, aimed to reduce rice prices for consumers while supporting rice growers through various assistance measures. This study assessed the awareness and implications of the Rice Tariffication Law (Republic Act 11203) among irrigated rice farmers in selected barangays of Dipolog City, Philippines. Interviews with 82 farmers revealed that although 71% were aware of the law, their understanding of its objectives (71%) and key provisions (70%-77%) was limited. Nevertheless, all participants received government assistance in the form of farm mechanization, fertilizers, financial aid, and seeds. Farmers unanimously acknowledged both the positive and negative effects of the law. Statistical analysis showed a significant difference in the average income per hectare of rice farmers before and after the law's implementation. The study recommends educational initiatives, particularly through institutions like Jose Rizal Memorial State University, to enhance farmers' understanding and dissemination of the law's objectives and key provisions.

Schottky barrier memory based on heterojunction bandgap engineering for high-density and low-power retention

Dynamic random-access memory (DRAM) has been scaled down to meet high-density, high-speed, and low-power memory requirements. However, conventional DRAM has limitations in achieving memory reliability, especially sufficient capacitance to distinguish memory states. While there have been attempts to enhance capacitor technology, these solutions increase manufacturing cost and complexity. Additionally, Silicon-based capacitorless memories have been reported, but they still suffer from serious difficulties regarding reliability and power consumption. Here, we propose a novel Schottky barrier memory (SBRAM), which is free of the complex capacitor structure and features a heterojunction based on bandgap engineering. SBRAM can be configured as vertical cross-point arrays, which enables high-density integration with a 4F2 footprint. In particular, the Schottky junction significantly reduces the reverse leakage current, preventing sneak current paths that cause leakage currents and readout errors during array operation. Moreover, the heterojunction physically divides the storage region into two regions, resulting in three distinct resistive states and inducing a gradual current slope to ensure sufficient holding margin. These states are determined by the holding voltage (Vhold) applied to the programmed device. When the Vhold is 1.1 V, the programmed state can be maintained with an exceptionally low current of 35.7 fA without a refresh operation.