Purpose: We evaluated the association between macronutrients of human milk (HM), and interactions between maternal age and body mass index(BMI) in matched conditions. Material and methods: Totally, 80 HM samples were collected from healthy breast-feeding mothers at fourth week of lactation. HM macronutrients and maternal data were analyzed. Mothers were subgrouped into four groups by maternal age (20 s/30 s) and BMI (overweight/normal). Results: Two-way ANOVA revealed significant interactions between age and BMI to affect macronutrients; fat, carbohydrate, and calories. Moreover, different responses of fat and calorie to BMI were found in different age groups. Conclusions: The evaluation of over- or under-weighted infants warrants considering both of maternal age and BMI.

This article argues that some denialists of Japan’s military sexual slavery are responsible for past epistemic injustices. In the literature on epistemic responsibility, backward- and forward-looking justifications of responsibility are rarely distinguished. Moreover, notions of epistemic responsibility are mostly forward-looking. To fill the gap in the literature, this article offers a notion of backward-looking epistemic responsibility by arguing that some morally responsible agents who committed epistemic injustices are liable to make epistemic amends for past epistemic injustices. The article proceeds as follows. I introduce Japan’s military sexual slavery and how it is denied in two ways (state-led denial and individual-led denial). Both types of denial may involve epistemic injustices. Based on moral responsibility, I argue that some agents are liable to make epistemic amends for past epistemic injustices. I then offer three conditions to discern who is liable, which are conditions of causality, autonomy and epistemic competence. I apply my notion of backward-looking epistemic responsibility to Japan’s military sexual slavery and highlight its limits. Finally, I provide a concept of acknowledgment as a process of making epistemic amends.

A cryogen-free portable 3 T high-temperature superconducting magnet for an electromagnetic property measurement system has been developed to serve as a user facility at the Korea Basic Science Institute. The metallic insulation method was adopted to reduce the charging delay without sacrificing the self-protecting feature. A genetic-algorithm-aided optimized design was carried out to minimize the superconducting tape consumption while satisfying several design constraints. After the design, the compact high-temperature superconducting magnet composed of eight double-pancake coil modules was wound with high-temperature superconducting tape and stainless steel tape, and integrated with a two-stage cryo-cooler. The 3 T magnet was successfully cooled to approximately 20 K with a cryo-cooler and reached the target field of 3 T without any problems. Long-term measurements and a range of other tests were also implemented to verity the performance of the magnet. Test results demonstrated the feasibility of a cryogen-free portable high-temperature superconducting magnet system for electromagnetic property measurement experiments.

In this paper, a new method is presented for sensitive quench detection in high-temperature superconductor (HTS) rotating machinery. The normal zone propagation velocity of an HTS is about 1000 times slower than that of a low-temperature superconductor. Therefore, the propagation of normal zone resistance, which occurs when the HTS transits from the superconducting state to the normal state, is also slower. Thus, it is difficult to detect the abnormal signals by voltage measurement using voltage taps. Moreover, the monitoring signal includes noise generated by interaction between the HTS rotating machinery and the industrial environment. Therefore, when quenching occurs in the HTS rotating machinery, a thermal runaway occurs in the hot spot. Furthermore, the magnetic energy stored in the HTS coil can damage the machinery. For these reasons, a new method is proposed for sensitive quench detection that reduces the noise generated from the power supply and from the HTS rotating machinery, using both an RLC resonance circuit and fast Fourier transform analysis.

We present a recently developed shimming method that uses a system of room-temperature (RT) orthogonal shimming coils to improve the spatial field homogeneity of high-resolution nuclear magnetic resonance (NMR) and magnetic resonance imaging (MRI) superconducting magnets. Conventional RT shimming methods require recursive routines of field mapping and RT shim coil current adjustments, which lead to a less effective and time-consuming process. In this paper, we introduce a new RT shimming method that utilizes a process of gradual and automatic search to find an optimal operating point with a genetic algorithm (GA), a type of optimization technique. The proposed algorithm is capable of determining the optimal set of currents for a system of shimming coils to create the best spatial field homogeneity by minimizing the NMR spectral linewidth. We used a commercial 600-MHz NMR magnet with a full NMR spectral linewidth at half maximum (FWHM) of 2.2 ppm, as determined by an NMR test sample contained in a cylindrical glass tube with a diameter of 5 mm to demonstrate that the shimming method can improve the FWHM to 0.15 ppm. The results demonstrate the strong potential of the proposed RT shimming methodology for the auto-shimming process of NMR/MRI applications.