Effect of digital game intervention on cognitive functions in older adults: a multiple baseline single case experimental design study.

BACKGROUND: Residents in nursing homes are prone to cognitive decline affecting memory, visuospatial cognition, and executive functions. Cognitive decline can lead to dementia, necessitating prioritized intervention. METHODS: The current study aimed to investigate whether an intervention using a digital game was effective for preserving and improving the cognitive function of residents in nursing homes. An intervention study was conducted using a single-case AB design with multiple baselines. The participants in the study were five older adults aged 65 and over who do not play digital games regularly. The study ran for 15 weeks, including a baseline (phase A) and an intervention phase (phase B). Phase A had five baselines (5 to 9 weeks) with random participant assignment. In phase B, participants engaged in a digital game (Space Invaders) individually. Cognitive function was assessed as the outcome, measured using the Brain Assessment (performed on a tablet through the Internet) at 16 measurement points. Four of five participants (two female and two male) were included in the analysis, using visual inspection and Bayesian statistics with multi-level modeling. RESULTS: Visual inspection of the graphs revealed cognitive function score improvements after the intervention for most layers in terms of memory of numbers, memory of words, mental rotation test (visuospatial ability), and total scores in the Brain Assessment. These effects were also significant in the analysis by multi-level modeling. CONCLUSIONS: The results suggest that the use of digital games may be effective for preserving and improving cognitive function among residents of nursing home. TRIAL REGISTRATION: This study was registered in the University Hospital Medical Information Network Clinical Trials Registry (UMIN000048677; public title: Effect of a Digital Game Intervention for Cognitive Functions in Older People; registration date: August 30, 2022).

Quantum teleportation of physical qubits into logical code spaces.

Quantum error correction is an essential tool for reliably performing tasks for processing quantum information on a large scale. However, integration into quantum circuits to achieve these tasks is problematic when one realizes that nontransverse operations, which are essential for universal quantum computation, lead to the spread of errors. Quantum gate teleportation has been proposed as an elegant solution for this. Here, one replaces these fragile, nontransverse inline gates with the generation of specific, highly entangled offline resource states that can be teleported into the circuit to implement the nontransverse gate. As the first important step, we create a maximally entangled state between a physical and an error-correctable logical qubit and use it as a teleportation resource. We then demonstrate the teleportation of quantum information encoded on the physical qubit into the error-corrected logical qubit with fidelities up to 0.786. Our scheme can be designed to be fully fault tolerant so that it can be used in future large-scale quantum technologies.

Associations Between Cognitive Function and Muscle Quality Among Community-Dwelling Older Adults: A Cross-Sectional Study.

OBJECTIVE: To investigate whether muscle quality is related to cognitive function in older adults living in the community. METHODS: The participants were 40 community-dwelling older adults without a diagnosis of dementia (mean age, 78.85 ± 6.40 years; 31 women). The dependent variable was the score on the mild cognitive impairment (MCI) index of the Japanese version of the Neurobehavioral Cognitive Status Examination Five (range: 0-6; higher scores indicate MCI or possible dementia). RESULTS: Multiple regression with Bayesian statistics was performed for analysis of muscle quality, as indicated by echo intensity (EI), with skeletal muscle mass index, gait speed, physical activity level, age, and sex as covariates. EI was significantly associated with the MCI index (expected a posterior = 0.04 [95% Bayesian confidence interval: 0.01, 0.07], t = 2.47, ß = 0.41, p = 0.019). CONCLUSIONS: The results suggest that EI may be related to the cognitive function of older adults living in the community. Future studies should examine whether focusing on EI can help prevent cognitive decline among older adults..

[A longitudinal study of the association between physical activity and apathy among community-dwelling older adults].

AIM: This study clarified the association between the amount of physical activity and apathy after one year among community-dwelling older adults. METHODS: Two hundred community-dwelling older adults (mean age: 74.3±5.0 years old, female: 52.5%) who participated in the 2018 and 2019 "Kasama Longevity Health Examination" were included. Apathy was assessed using the Apathy Scale (0-42 points; the higher the score, the lower the motivation), physical activity by Physical Activity Scale for the Elderly (PASE), and Geriatric Depression Scale-15 (GDS). The 2018 PASE data were grouped into tertiles. A multiple regression analysis was performed with the 2019 Apathy Scale as the dependent variable and the 2018 PASE as the independent variable, and the sex, age, years of education, economic situation, body mass index, chronic illness, smoking history, alcohol drinking habits, physical function, cognitive function, GDS, and the 2018 Apathy Scale as adjustment variables. The PASE subcategories (leisure-time, household, and work-related activities) were examined using a similar method. RESULTS: The mean Apathy Scale in 2019 was 14.0±6.2 for the low physical activity group, 12.8±6.0 for the medium physical activity group, and 10.1±5.9 for the high physical activity group. The high physical activity group showed a significant negative association with the Apathy Scale (B=-1.56, 95% confidence interval=-2.91 to -0.21, p=0.023). No association was found for any activity of the PASE sub-items. CONCLUSIONS: A high level of physical activity may protect against apathy among community-dwelling older adults.

Universal van der Waals Force between Heavy Polarons in Superfluids.

We investigate the long-range behavior of the induced Casimir interaction between two spinless heavy impurities, or polarons, in superfluid cold atomic gases. With the help of effective field theory (EFT) of a Galilean invariant superfluid, we show that the induced impurity-impurity potential at long distance universally shows a relativistic van der Waals-like attraction (∼1/r^{7}) resulting from the exchange of two superfluid phonons. We also clarify finite temperature effects from the same two-phonon exchange process. The temperature T introduces the additional length scale c_{s}/T with the speed of sound c_{s}. Leading corrections at finite temperature scale as T^{6}/r for distances r≪c_{s}/T smaller than the thermal length. For larger distances the potential shows a nonrelativistic van der Waals behavior (∼T/r^{6}) instead of the relativistic one. Our EFT formulation applies not only to weakly coupled Bose or Fermi superfluids but also to those composed of strongly correlated unitary fermions with a weakly coupled impurity. The sound velocity controls the magnitude of the van der Waals potential, which we evaluate for the fermionic superfluid in the BCS-BEC crossover.

Evaluation of Apparent Noise on CT Images Using Moving Average Filters.

This study aims to devise a simple method for evaluating the magnitude of texture noise (apparent noise) observed on computed tomography (CT) images scanned at a low radiation dose and reconstructed using iterative reconstruction (IR) and deep learning reconstruction (DLR) algorithms, and to evaluate the apparent noise in CT images reconstructed using the filtered back projection (FBP), IR, and two types of DLR (AiCE Body and AiCE Body Sharp) algorithms. We set a square region of interest (ROI) on CT images of standard- and obese-sized low-contrast phantoms, slid different-sized moving average filters in the ROI vertically and horizontally in steps of 1 pixel, and calculated the standard deviation (SD) of the mean CT values for each filter size. The SD of the mean CT values was fitted with a curve inversely proportional to the filter size, and an apparent noise index was determined from the curve-fitting formula. The apparent noise index of AiCE Body Sharp images for a given mAs value was approximately 58, 23, and 18% lower than that of the FBP, AIDR 3D, and AiCE Body images, respectively. The apparent noise index was considered to reflect noise power spectrum values at lower spatial frequency. Moreover, the apparent noise index was inversely proportional to the square roots of the mAs values. Thus, the apparent noise index could be a useful indicator to quantify and compare texture noise on CT images obtained with different scan parameters and reconstruction algorithms.

Relationship between T cell receptor clonotype and PD-1 expression of tumor-infiltrating lymphocytes in colorectal cancer.

Adoptive T cell therapy using tumor-specific T cells or TCR-modified T cells is a promising next-generation immunotherapy. The major source of tumor-reactive T cells is PD-1+ tumor-infiltrating lymphocytes (TILs). In contrast, PD-1- TILs have received little attention. Here, we analyzed the TCR-ß repertoires of PD-1- and PD-1+ CD8+ TILs derived from colorectal cancer and breast cancer. Approximately 40-60% of the PD-1+ population consisted of oligoclonal populations in both colorectal cancer and breast cancer. In contrast, approximately 37% of the PD-1- population consisted of an oligoclonal population in colorectal cancer, whereas 14% of them were oligoclonal in breast cancer. In colorectal cancer, the TCR repertoires of PD-1- CD8+ TILs and PD-1+ CD8+ TILs hardly overlapped. Interestingly, clonally expanded CD8+ TILs in primary tumors and the metastases expressing the same clonotypic TCR showed the same phenotype regarding the PD-1-expression. These results suggest that the intrinsic properties of TCRs determine the fate of TILs in terms of whether they become PD-1+ or PD-1- in the tumor microenvironment. Further functional analysis of TCRs in TILs will allow us to better understand the regulatory mechanisms for PD-1 expression on TILs and may contribute to tumor immunotherapy.

Power-Law Intensity Distribution of γ-Decay Cascades: Nuclear Structure as a Scale-Free Random Network.

By modeling the transition paths of the nuclear γ-decay cascade using a scale-free random network, we uncover a universal power-law distribution of γ-ray intensity ρ_{I}(I)∝I^{-2}, with I the γ-ray intensity of each transition. This property is consistently observed for all datasets with a sufficient number of γ-ray intensity entries in the National Nuclear Data Center database, regardless of the reaction type or nuclei involved. In addition, we perform numerical simulations that support the model's predictions of level population density.

Ectopic thyroid tissue at the skull base: a case report.

Ectopic thyroid tissue is a rare entity, resulting from developmental abnormality during the migration of the embryonic thyroid germ from the floor of the primitive foregut to its final pre-tracheal position. Although ectopic thyroid tissue may be located anywhere, its location at the skull base is extremely rare. We report a case of ectopic thyroid tissue at the skull base in a 19-year-old man with multimodality imaging findings.

Flexible prediction of opponent motion with internal representation in interception behavior.

Skilled interception behavior often relies on accurate predictions of external objects because of a large delay in our sensorimotor systems. To deal with the sensorimotor delay, the brain predicts future states of the target based on the current state available, but it is still debated whether internal representations acquired from prior experience are used as well. Here we estimated the predictive manner by analyzing the response behavior of a pursuer to a sudden directional change of the evasive target, providing strong evidence that prediction of target motion by the pursuer was incompatible with a linear extrapolation based solely on the current state of the target. Moreover, using neural network models, we validated that nonlinear extrapolation as estimated was computationally feasible and useful even against unknown opponents. These results support the use of internal representations in predicting target motion, suggesting the usefulness and versatility of predicting external object motion through internal representations.

Radiation Dose Reduction for Computed Tomography Localizer Radiography Using an Ag Additional Filter.

OBJECTIVE: This study aimed to assess the potential of an Ag additional filter attached to the bow tie filter of a computed tomography (CT) scanner to reduce the radiation dose in CT localizer radiography. METHODS: Radiation doses in CT localizer radiography with Cu and Ag additional filters were evaluated based on dose measurements and Monte Carlo simulations. Image quality evaluations of an adult torso phantom were performed, and the automatic exposure control performance was evaluated in terms of the water-equivalent thickness estimated from CT localizer radiographs. RESULTS: With the Ag additional filter, effective doses were approximately 72% to 75% lower than those with the Cu additional filter. The image quality and water-equivalent thickness with the Ag additional filter were similar to those with the Cu additional filter. CONCLUSIONS: The Ag additional filter helped significantly reduce radiation doses in CT localizer radiography while maintaining image quality and performance.

Factors associated with quality of dreams during general anesthesia: a prospective observational study.

Patients frequently report having dreams during general anesthesia, and the dreams are often reported to be pleasant dreams. However, factors associated with the quality of dreams during general anesthesia have not been clarified. The aim of this study was to determine the relationships between the quality of dreams during general anesthesia and perioperative factors. This prospective observational study included patients scheduled for elective surgery under general anesthesia. Preoperative mental status was assessed by the Hospital Anxiety and Depression Scale (HADS). A postoperative interview was carried out in the operating room after recovery from general anesthesia. Dreams and awareness during general anesthesia were assessed by a modified Brice interview. The quality of dreams was classified in accordance with the patient's own opinion as pleasant, indifferent, or unpleasant. A total of 1100 patients were included in the study, and 293 (25.4%) of the patients reported having dreams during anesthesia. Half of the patients who experienced dreams during anesthesia (50.2%, 147/293 patients) reported having a pleasant dream. Multivariate logistic regression analysis revealed that only HADS-depression score of less than 11 was related to pleasant dreams (OR: 3.3 [95% CI 1.3-10.0]).

Simple Explanation for the Observed Power Law Distribution of Line Intensity in Complex Many-Electron Atoms.

It has long been observed that the number of weak lines from many-electron atoms follows a power law distribution of intensity. While computer simulations have reproduced this dependence, its origin has not yet been clarified. Here we report that the combination of two statistical models-an exponential increase in the level density of many-electron atoms and local thermal equilibrium of the excited state population-produces a surprisingly simple analytical explanation for this power law dependence. We find that the exponent of the power law is proportional to the electron temperature. This dependence may provide a useful diagnostic tool to extract the temperature of plasmas of complex atoms without the need to assign lines.

Nonadiabatic Control of Geometric Pumping.

We study nonadiabatic effects of geometric pumping. With arbitrary choices of periodic control parameters, we go beyond the adiabatic approximation to obtain the exact pumping current. We find that a geometrical interpretation for the nontrivial part of the current is possible even in the nonadiabatic regime. The exact result allows us to find a smooth connection between the adiabatic Berry phase theory at low frequencies and the Floquet theory at high frequencies. We also study how to control the geometric current. Using the method of shortcuts to adiabaticity with the aid of an assisting field, we illustrate that it enhances the current.

High Resolution Photoexcitation Measurements Exacerbate the Long-Standing Fe XVII Oscillator Strength Problem.

For more than 40 years, most astrophysical observations and laboratory studies of two key soft x-ray diagnostic 2p-3d transitions, 3C and 3D, in Fe XVII ions found oscillator strength ratios f(3C)/f(3D) disagreeing with theory, but uncertainties had precluded definitive statements on this much studied conundrum. Here, we resonantly excite these lines using synchrotron radiation at PETRA III, and reach, at a millionfold lower photon intensities, a 10 times higher spectral resolution, and 3 times smaller uncertainty than earlier work. Our final result of f(3C)/f(3D)=3.09(8)(6) supports many of the earlier clean astrophysical and laboratory observations, while departing by five sigmas from our own newest large-scale ab initio calculations, and excluding all proposed explanations, including those invoking nonlinear effects and population transfers.

Fungal NOX is an essential factor for induction of TG2 in human hepatocytes.

NADPH oxidases (Nox) generate reactive oxygen species (ROS) such as superoxide anion radical (O2-) and hydrogen peroxide (H2O2). The pathogenic fungi Candida albicans and Candida glabrata enhance cellular transglutaminase 2 (TG2) activity levels in co-cultured human hepatic cells in a ROS-mediated manner. Deletion of NOX1 (CgNOX1) in C. glabrata blocks the ability of C. glabrata to induce TG2 activity. Here, we investigated whether Nox proteins from C. albicans and Saccharomyces cerevisiae are related with induction of TG2 activity in hepatic cells. C. albicans CFL11 (CaCFL11) was identified as a key factor in this fungus for hepatic TG2 induction in the co-cultures. The cfl11 mutant of C. albicans did not induce TG2 activity in hepatocytes. In addition, overexpression of YNO1, a homolog of CgNOX1, in S. cerevisiae led to induction of ROS generation and TG2 activity in hepatic cells in co-incubation experiments. These findings indicated that a fungal Nox plays a role in enhancing TG2 activity in human hepatocytes and leads to apoptosis.

Validation of noninvasive continuous arterial pressure measurement by ClearSight System™ during induction of anesthesia for cardiovascular surgery.

BACKGROUND: Since blood pressure tends to be unstable during induction of anesthesia in patients undergoing cardiovascular surgery, an artery catheter is often inserted before induction to continuously monitor arterial pressure during induction of anesthesia. ClearSight System™ enables noninvasive continuous measurement of beat-to-beat arterial pressure via a single finger cuff without pain using photoplethysmographic technology. If ClearSight System™ can replace intra-arterial pressure measurement, blood pressure could be easily and noninvasively assessed. However, the validity of ClearSight System™ during induction of anesthesia in patients undergoing cardiovascular surgery has not been evaluated. The aim of this study was to compare blood pressure measured by ClearSight System™ with intra-arterial pressure during induction of anesthesia for cardiovascular surgery. METHODS: This study was registered retrospectively. Data during induction of anesthesia for elective cardiovascular surgery were obtained for patients in whom noninvasive arterial pressure was measured by ClearSight System™ (APcs) and invasive radial arterial pressure (APrad) was measured simultaneously. According to the widely used criteria formulated by international standards from the Association for the Advancement of Medical Instrumentation, the acceptable bias and precision for arterial pressure measurements were fixed at < 5 mmHg and 8 mmHg, respectively. RESULTS: Data for 18 patients were analyzed. For 3068 analyzed paired measurements, values of APcs vs APrad bias (precision) were 13.2 (17.5), - 9.1 (7.3) and - 3.9 (7.8) mmHg for systolic, diastolic, and mean arterial pressures, respectively. CONCLUSIONS: Mean arterial pressure measured by ClearSight System™ could be considered as an alternative for mean radial arterial pressure during induction of anesthesia for elective cardiovascular surgery.

Prediction and classification in equation-free collective motion dynamics.

Modeling the complex collective behavior is a challenging issue in several material and life sciences. The collective motion has been usually modeled by simple interaction rules and explained by global statistics. However, it remains difficult to bridge the gap between the dynamic properties of the complex interaction and the emerging group-level functions. Here we introduce decomposition methods to directly extract and classify the latent global dynamics of nonlinear dynamical systems in an equation-free manner, even including complex interaction in few data dimensions. We first verified that the basic decomposition method can extract and discriminate the dynamics of a well-known rule-based fish-schooling (or bird-flocking) model. The method extracted different temporal frequency modes with spatial interaction coherence among three distinct emergent motions, whereas these wave properties in multiple spatiotemporal scales showed similar dispersion relations. Second, we extended the basic method to map high-dimensional feature space for application to actual small-dimensional systems complexly changing the interaction rules. Using group sports human data, we classified the dynamics and predicted the group objective achievement. Our methods have a potential for classifying collective motions in various domains which obey in non-trivial dominance law known as active matters.

Impossibility of Classically Simulating One-Clean-Qubit Model with Multiplicative Error.

The one-clean-qubit model (or the deterministic quantum computation with one quantum bit model) is a restricted model of quantum computing where all but a single input qubits are maximally mixed. It is known that the probability distribution of measurement results on three output qubits of the one-clean-qubit model cannot be classically efficiently sampled within a constant multiplicative error unless the polynomial-time hierarchy collapses to the third level [T. Morimae, K. Fujii, and J. F. Fitzsimons, Phys. Rev. Lett. 112, 130502 (2014)PRLTAO0031-900710.1103/PhysRevLett.112.130502]. It was open whether we can keep the no-go result while reducing the number of output qubits from three to one. Here, we solve the open problem affirmatively. We also show that the third-level collapse of the polynomial-time hierarchy can be strengthened to the second-level one. The strengthening of the collapse level from the third to the second also holds for other subuniversal models such as the instantaneous quantum polynomial model [M. Bremner, R. Jozsa, and D. J. Shepherd, Proc. R. Soc. A 467, 459 (2011)PRLAAZ1364-502110.1098/rspa.2010.0301] and the boson sampling model [S. Aaronson and A. Arkhipov, STOC 2011, p. 333]. We additionally study the classical simulatability of the one-clean-qubit model with further restrictions on the circuit depth or the gate types.

Effects of acute exercise in the sitting position on executive function evaluated by the Stroop task in healthy older adults.

[Purpose] Exercise effects on executive functioning depend on exercise mode. We tested the effects of three acute exercises in the sitting position-stepping, stretching, and finger movement-on older adults' executive functioning in comparison to a resting state (i.e., control condition). [Subjects and Methods] Participants were 26 healthy older adults (mean age, 71.8 ± 4.7 years). All participants performed the three sitting exercises for 10 minutes; resting for an equal amount of time was used as a control condition. These four conditions were presented in random order. The color-word matching Stroop task was used to evaluate executive function before and after the sitting exercises and control condition. [Results] All three sitting exercises significantly reduced Stroop interference scores, while the control condition did not. There was a significant difference between the finger movement exercise and the control condition in pre-to-post-intervention changes in Stroop interference scores. [Conclusion] The acute finger movement exercise was especially beneficial for executive function as evaluated by the color-word matching Stroop task.