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Background: It is important that blood glucose concentrations be accurately and conveniently measured in infants. However, especially in the early neonatal period, point-of-care testing devices used for adults may not accurately measure blood glucose concentrations in neonates. Methods: In Study 1, the accuracy of neonatal whole-blood glucose measurements was evaluated for the existing glucose analyser Glutest Mint® (hereinafter MINT1; Sanwa Kagaku Kenkyusho, Nagoya, Japan) by comparing the data with reference blood glucose concentrations. In Study 2, we used MINT2, which was modified based on the findings from Study 1, to measure whole-blood glucose concentrations in newborns, and the accuracy of the measurements was compared with that of MINT1. Results: Blood glucose concentrations were measured in 100 infants each in Study 1 and 2. In Study 1, the whole-blood glucose concentrations measured using MINT1 were found to be significantly lower than the reference blood glucose concentrations in early neonates. The results of Study 1 suggested that characteristics of erythrocyte membranes in early neonates affected the measurements. Therefore, we conducted Study 2 using MINT2, which was modified to be less susceptible. MINT2 was found to accurately measure whole-blood glucose concentrations in the early neonatal period. Conclusion: The study showed that the point-of-care testing device could be improved to allow for accurate whole-blood glucose measurements in the early neonatal period. [ABSTRACT FROM AUTHOR]

Vector normalization is an important process in several algorithms. It is used in classical physical calculations, mathematical techniques, and machine learning, which has witnessed significant advancements in recent years. Normalization and regularization ensure the stability of solutions and play an important role in algorithm convergence. Normalization typically refers to the division of elements by their norm. Division should not be used in algorithmic implementations because its computational cost is considerably higher than that of multiply–add operations. Based on this, there is a well-known method referred to as the fast inverse square root (FISR) algorithm in floating-point calculations (IEEE754). In deeper-level embedded systems that require fast responses or power efficiency, integer instead of real number arithmetic (floating-point number arithmetic) should be used to increase speed. Conversely, in deeper-level embedded systems that require fast responses or power efficiency, integer arithmetic should be used instead of real number arithmetic (floating-point number arithmetic) to increase speed. Therefore, embedded engineers encounter problems in instances in which they use integer arithmetic for implementation, but real number arithmetic is required to compute vectors and other higher-dimensional algebra. There is no conventional normalization algorithm similar to the FISR algorithm for integer arithmetic; however, the proposed pseudo-normalization achieves vector normalization within a restricted domain using only multiply–add operations and bit shifts. This allows for fast and robust operations, even for low-performance MCUs that do not have power-efficient FPUs. As an example, this study demonstrates the computation of the arctangent (Arctan2 function; atan2(y, x)) with high precision using only integer multiply–add operations. In this study, we proposed a method of vector normalization using only integer arithmetic for embedded systems and confirmed its effectiveness by simulation using Verilog. The research results can contribute to various fields such as signal processing of IMU sensor data, faster artificial intelligence training, and efficient rendering of computer graphics. [ABSTRACT FROM AUTHOR]

Background: Human milk banks have been established to provide human milk to preterm infants who are unable to obtain milk from their mothers. Donor screening methods vary, and prospective donors are commonly screened for drug and recreational substance use through behavioral screening. Although the risk of illegal drug consumption in Japan is extremely low, caffeine may be consumed unknowingly and can be found in human milk. To date, only a few reports have been conducted on the concentration of caffeine in donor milk. Research Aim: This study aimed to examine the pre-pasteurization levels of caffeine in human milk donated to a milk bank in Japan. Methods: This was a cross-sectional, observational study of caffeine concentrations in human milk donated to a human milk bank in Japan. Caffeine concentration in the donor milk was measured using high-performance liquid chromatography. Results: Caffeine was detected in 70% of the donor milk samples (N = 350). The median (range) of caffeine concentration was 0.46 [< 0.10, 7.54] mg/L, and 64.0% of the samples had less than 1 mg/L of caffeine. The caffeine concentration varied widely among as well as within individuals. Conclusion: The average caffeine concentration in Japanese donor milk samples was higher than that previously reported in samples from Spain, but the range was similar. Donors should be informed that caffeine intake should be within a moderate range, to further increase the safety of donor milk. [ABSTRACT FROM AUTHOR]

Epidemiological studies have indicated that child maltreatment, such as neglect, is a risk factor of escalated aggression, potentially leading to delinquency and violent crime in the future. However, little is known about the mechanisms by which an early adverse environment may later cause violent behavior. In this study, we aimed to thoroughly examine the association between aggression against conspecific animals and the activity of amygdala subnuclei using the maternal separation (MS) model, which is a common model of early life stress. In the MS group, pups of Sprague–Dawley rats were separated from their dam during postnatal days 2–20 (twice a day, 3 h each). We only included 9‐week‐old male offspring for each analysis and compared the MS group with the mother‐reared control group; both groups were raised by the same dam during postnatal days 2–20. The results revealed that the MS group exhibited higher aggression and excessive activity of only the central amygdala (CeA) among the amygdala subnuclei during the aggressive behavior test. Moreover, a significant positive correlation was observed between higher aggression and CeA activation. While CeA activity is known to be involved in hunting behavior for prey, some previous studies have also indicated a relationship between CeA and intraspecific aggression. It remains unclear, however, whether excessive CeA activity directly induces intraspecific aggression. Therefore, we stimulated the CeA using optogenetics with 8‐week‐old rats to clarify the relationship between intraspecific aggression and CeA activity. Notably, CeA activation resulted in higher aggression, even when the opponent was a conspecific animal. In particular, bilateral CeA activation resulted in more severe displays of aggressive behavior than necessary, such as biting a surrendered opponent. These findings suggest that an adverse environment during early development intensifies aggression through excessive CeA activation, which can increase the risk of escalating to violent behavior in the future. [ABSTRACT FROM AUTHOR]

We considered the change in joint stiffness as a motion strategy in human lumbar extension movement. We developed a musculoskeletal model that can reproduce this motion strategy and attempted to clarify the individual characteristics and differences in motion strategy. This model reproduces changes in lumbar joint stiffness during movement by appropriately adjusting parameters such that they represent the motion strategy. Using this model, we identified parameters in lumbar extension exercises for six participants with differences in lumbar joint stiffness and examined changes in lumbar joint stiffness and motion strategies. The results showed that participants with similar changes in joint stiffness had commonalities in their motion strategies. [ABSTRACT FROM AUTHOR]