memory support
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2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 1050-1050
Author(s):  
Celinda Reese-Melancon ◽  
Jennifer Margrett ◽  
Dan Russell ◽  
Rachael Turner ◽  
Erin Harrington ◽  
...  

Abstract Media reports provide anecdotal evidence of increased forgetfulness during the COVID-19 pandemic (Cushing, 2021; Purtill, 2020). Scientific evidence suggests social isolation can impact on cognition (Evans et al., 2018), but the question remains whether those living with a partner experience similar deficits. The present study examined whether middle-aged and older adults’ perceptions of their own and their partner’s memory abilities were related to self-reported impact of the pandemic on daily life (e.g., limited social interactions, delayed health care, and disruption to routine). In a sample of 80 married individuals (49% female; age range 40-86 years), we found that participants’ beliefs about the impact of the pandemic on daily life and their depression ratings significantly predicted (p<0.05) their perceptions of their partner’s prospective memory abilities. Specifically, pandemic impact on daily life predicted 9.3% of the variance in participants’ reported perceptions of their partners’ prospective memory abilities, and participant depression ratings predicted an additional 5.1% of the variance. Surprisingly, these variables did not predict perceptions of participants’ own cognition or perceptions of partners’ retrospective memory abilities. In sum, people who reported greater impact of the pandemic on their lives were more likely to believe that their partner frequently forgot to carryout prospective memory intentions (e.g., failed to pass along a message or take medication), and depression further clouded their perception of their partner’s cognition. These findings should be extended to consider relationship quality and whether individuals consider their partners a reliable source of external memory support during times of life disruption.


2021 ◽  
Vol 5 (CSCW2) ◽  
pp. 1-32
Author(s):  
Thivya Kandappu ◽  
Vigneshwaran Subbaraju ◽  
Qianli Xu

2021 ◽  
Vol 11 (10) ◽  
pp. 1306
Author(s):  
Harris Liou ◽  
Cynthia M. Stonnington ◽  
Amit A. Shah ◽  
Skye A. Buckner-Petty ◽  
Dona E. C. Locke

Although recent studies have explored the potential of multidomain brain health programs, there is a dearth of literature on operationalizing this research to create a clinical treatment program specifically for subjective cognitive decline (SCD). Patients seen by geriatricians in primary care and by behavioral neurology services at our institution presenting with SCD were recruited via a patient-appropriate flyer. After all participants had a 1-h brain health consultation with a neuropsychologist and were provided with program materials, they were randomized to attend a 10-week intervention designed to support program implementation (N = 10) or the control group of implementing the program on their own (N = 11). The program included (1) a calendar-based executive and memory support system for compensatory training and (2) training in healthy lifestyle. There were no significant differences between groups for any outcomes. Participants across both groups showed significant improvements with moderate effect sizes in compensatory strategy use, anxiety symptoms, and daily functioning, which were sustained through 6-month follow-up. They also increased physical activity by the end of the intervention period but did not sustain this through 6-month follow-up. Our pilot study demonstrates preliminary feasibility of a cognitive compensatory and lifestyle-based brain health program. Additional research is recommended to further develop two potentially scalable implementation strategies—coaching and self-implementation after brief consultation.


Author(s):  
Kevin Zish ◽  
Jesse Eisert ◽  
Jennifer Blanchard ◽  
Daniel Endres ◽  
David Band ◽  
...  

Using a simulated baggage screening task, we investigated two literature-supported mitigation strategies for reducing the negative effects of task switching, namely less frequent switching and memory support. The study replicates widely reported switching effects on a complex task. The results also show that people can improve performance when provided memory support. When task switching, people can struggle to retrieve the correct task instruction due to the automatic process behind functional memory decay. Memory support reduces the negative effects of functional decay by providing people a reminder.


2021 ◽  
Vol 7 (3(43)) ◽  
pp. 14-21
Author(s):  
Valentina Nikiforovna Egorova ◽  
Fevroniya Ivanovna Alekseeva ◽  
Natalia Vasilievna Matveeva ◽  
Vasilisa Petrovna Fedorova

The main problem of old age is memory loss. Memory deterioration usually occurs after 50 years, and by the age of 65 every second person complains of poor memory.


Author(s):  
Mr. V. Manoj Kumar

Prediction is most important for stock market not only for traders but also for computer engineers who analyses stock data. We can perform this prediction by two ways one is using historical stock data and other by analyzing by information gathered from social media. It is based on model/pattern used to predict stock dataset, there are so many models are available for predicting stocks, simply model is algorithm that’s from machine learning and deep learning. In the data set the two main parameters open and close value are used for stock prediction mostly but we can also predict by its volume too. So that data is preprocessed before it is used for prediction. In this paper we used various algorithm like linear regression, support vector regression and long short-term memory for better accuracy and to compare how it different from other algorithm and for predicting future stock.


2021 ◽  
pp. 049-055
Author(s):  
Larin V.O. ◽  
◽  
Provotar O.I. ◽  

The paper defines the notion of distributed problems with bounded input components. Particle Swarm Optimization problem is shown to be an example of such a class. Such a problem's implementation based on the Map-Reduce model (implemented on the Spark framework) and an implementation based on an actor model with shared memory support (implemented on Strumok DSL) is provided. Both versions' performance assessment is conducted. The hybrid actor model is shown to be an order of magnitude more effective in time and memory efficiency than Map-Reduce implementation. Additional optimization for the hybrid actor model solution is proposed. The prospects of using the hybrid actor model for other similar problems are given


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Alan D. Snow ◽  
Joel A. Cummings ◽  
Rudolph E. Tanzi ◽  
Thomas Lake

AbstractMemory loss is primarily caused by the accumulation of both brain plaques [(consisting of beta-amyloid protein (Aβ) 1–42)] and neurofibrillary tangles (consisting of paired helical and straight filaments containing tau protein). Neuroinflammation is the third key and important factor that leads to accelerated memory loss and eventual dementia. Brain plaques, tangles and inflammation is the trilogy mainly responsible for causing memory loss that has now been documented for over 20 years in the scientific literature. The present investigation used in vitro quantitative methods to directly compare the ability of major memory-support dietary supplements to reduce pre-formed Aβ 1–42 fibrils (21 supplements tested) and tau protein paired helical/straight filaments (13 supplements tested)—two of the three most important targets for memory loss. Additionally, 18 different manufacturers of cat’s claw (Uncaria tomentosa) were directly compared for their ability to inhibit/reduce Aβ 1–42 fibrils and/or tau paired helical/straight filaments based on recent findings that PTI-00703 cat’s claw is a specific and potent inhibitor/reducer of all three targets -brain plaques, tangles and inflammation (Snow et al. in Sci Rep 9:561, 2019). In the present investigation quantitative Thioflavin T fluorometry was used on a comparative weight-to-weight basis at increasing concentrations with ingredients tested from the actual capsules the consumer ingests. Major memory-support dietary supplements were directly compared for their ability to inhibit and disaggregate/reduce both Aβ 1–42 fibrils and/or tau paired helical/straight filaments. Dietary supplements touted to enhance memory comparatively tested included Prevagen, FOCUSfactor, PROCERA AVH, Alpha Brain, NAD+OVIM, BRAIN JUICE, Cebria, EXCELEROL, NOOCUBE, US Doctor’s Clinical Brain Power ADVANCED, healthycell pro, LUMONOL, Brain Awake, BRAIN ARMOR, brainMD (BRAIN & MEMORY POWER BOOST), Brain Support, Clarity (BRAIN HEALTH FORMULA), brainMD (NEUROVITE PLUS), neuriva (Original and Plus) and percepta. This is the first paper to actually comparatively test these memory-support supplements for their ability to reduce Aβ fibrils and tau protein tangles. Percepta (PTI-00703 cat’s claw and a specific oolong tea extract) was determined to be the most effective and potent memory support dietary supplement to disaggregate/disrupt Aβ 1–42 fibrils (range of 25–89%) and tau paired helical/straight filaments (range of 26–86%) at all 3–4 doses tested in comparison to other major memory-support dietary supplements tested. This was at least more than double (> 50%) for percepta reducing Aβ 1–42 fibrils and in comparison to the other 20 memory-support dietary supplements tested. The ranking order for memory-support supplement effects based on reducing Aβ 1–42 fibrils (Aβ 1–42: memory-support supplement at 1:0.1 weight-to-weight in a 3-day study) was percepta (69.6% reduction) >>> Alpha Brain (34.9% reduction) = US Doctor’s Clinical Brain Power ADVANCED (32.4%) = BRAIN JUICE (30.1%) = neuriva Plus (27%) = neuriva Original (27%) > NEUROVITE PLUS (22.9%) = NOOCUBE (19.9%) = EXCELEROL (17.3%) = healthycell pro (17.2%) > Prevagen (12.9%) > PROCERA AVH (6.5%) = FOCUSfactor (5.5%) > Cebria (0%) = Brain Awake (0%) = Brain Support (0%) = brainMD (BRAIN & MEMORY POWER BOOST) (0%) = NAD+OVIM (0%) = BRAIN ARMOR (0%) = LUMONOL (0%). The ranking order for memory support supplement effects on reducing tau paired helical/straight filaments (tau:memory supplement at 1:1 weight-to-weight at 3 days) was percepta (85.7% reduction) >>> neuriva Plus (57.9%) >> BRAIN JUICE (41.9%) = EXCELEROL (41.0%) = neuriva Original (38.4%) = US Doctor’s Clinical Brain Power ADVANCED (38.3%) = healthycell pro (37.6%) >> Alpha Brain (27.9%) >> NOOCUBE (17.6%) >> FOCUSfactor (8.7%) > Cebria (3.6%) = PROCERA AVH (0%) = Prevagen (0%). Congo red staining, Thioflavin S fluorescence, circular dichroism (CD) spectroscopy and electron microscopy confirmed the positive results observed with the supplement percepta. CD spectroscopy demonstrated that percepta caused a marked inhibition of beta-sheet secondary folding of tau protein into paired helical filaments. PTI-00703 cat’s claw (main ingredient in percepta) was also identified as the most potent cat’s claw bark powder (Uncaria tomentosa) to reduce and inhibit Aβ 1–42 fibrils and tau tangles in comparison to 17 other manufacturers of cat’s claw extracts. Although there are thousands of brain memory-support dietary supplements in the marketplace today, none of them have been directly compared and analyzed for their ability to reduce and/or inhibit two major targets of memory loss i.e. Aβ 1–42 fibrils and tau paired helical/straight filaments (major constituents of brain plaques and tangles). In our comparison studies, we show that percepta has the most potent ability to disaggregate/reduce Aβ 1–42 fibrils and tau protein paired helical/straight filaments as demonstrated by a variety of methods most likely due to the specific polyphenol content in PTI-00703 cat’s claw (i.e. polyphenols and proanthocyanidins) as we have previously shown (Snow et al. in Sci Rep 9:561, 2019). Memory-support dietary supplements tested that also contained polyphenols and/or cat’s claw in their product demonstrated some Aβ fibril and tau protein tangle reducing activity, but were much less effective than percepta. Percepta’s main ingredient, PTI-00703 cat’s claw, has previously been shown to reduce brain amyloid plaques and Aβ 1–42/40 insoluble/soluble levels in brain (in plaque-producing transgenic mice) with marked concurrent memory improvements (shown by Morris water maze testing) (Snow et al. in Sci Rep 9:561, 2019). The present investigation further confirms that percepta is one of the best dietary supplements that causes a marked reduction and inhibition of Aβ fibrils and tau tangle filaments -two important major targets for memory-support. In addition, PTI-00703 cat’s claw was the most effective cat’s claw (Uncaria tomentosa) ingredient for reducing /disaggregating and inhibiting Aβ 1–42 fibrils and tau protein paired helical/straight filaments in comparison to 17 other manufacturers of cat’s claw extracts tested.


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