Neural Network Based Approach to Recognition of Meteor Tracks in the Mini-EUSO Telescope Data

Mini-EUSO is a wide-angle fluorescence telescope that registers ultraviolet (UV) radiation in the nocturnal atmosphere of Earth from the International Space Station. Meteors are among multiple phenomena that manifest themselves not only in the visible range but also in the UV. We present two simple artificial neural networks that allow for recognizing meteor signals in the Mini-EUSO data with high accuracy in terms of a binary classification problem. We expect that similar architectures can be effectively used for signal recognition in other fluorescence telescopes, regardless of the nature of the signal. Due to their simplicity, the networks can be implemented in onboard electronics of future orbital or balloon experiments.Comment: 15 page

Decreased circulating branched-chain amino acids are associated with development of Alzheimer’s disease in elderly individuals with mild cognitive impairment

BackgroundNutritional epidemiology has shown that inadequate dietary protein intake is associated with poor brain function in the elderly population. The plasma free amino acid (PFAA) profile reflects nutritional status and may have the potential to predict future changes in cognitive function. Here, we report the results of a 2-year interim analysis of a 3-year longitudinal study following mild cognitive impairment (MCI) participants.MethodIn a multicenter prospective cohort design, MCI participants were recruited, and fasting plasma samples were collected. Based on clinical assessment of cognitive function up to 2 years after blood collection, MCI participants were divided into two groups: remained with MCI or reverted to cognitively normal (“MCI-stable,” N = 87) and converted to Alzheimer’s disease (AD) (“AD-convert,” N = 68). The baseline PFAA profile was compared between the two groups. Stratified analysis based on apolipoprotein E ε4 (APOE ε4) allele possession was also conducted.ResultsPlasma concentrations of all nine essential amino acids (EAAs) were lower in the AD-convert group. Among EAAs, three branched-chain amino acids (BCAAs), valine, leucine and isoleucine, and histidine (His) exhibited significant differences even in the logistic regression model adjusted for potential confounding factors such as age, sex, body mass index (BMI), and APOE ε4 possession (p < 0.05). In the stratified analysis, differences in plasma concentrations of these four EAAs were more pronounced in the APOE ε4-negative group.ConclusionThe PFAA profile, especially decreases in BCAAs and His, is associated with development of AD in MCI participants, and the difference was larger in the APOE ε4-negative population, suggesting that the PFAA profile is an independent risk indicator for AD development. Measuring the PFAA profile may have importance in assessing the risk of AD conversion in the MCI population, possibly reflecting nutritional status.Clinical trial registration[https://center6.umin.ac.jp/cgi-open-bin/ctr/ctr_view.cgi?recptno=R000025322], identifier [UMIN000021965]

Usefulness of serum biopterin as a predictive biomarker for childhood asthma control: A prospective cohort study

Background: Pteridines are metabolites of tetrahydrobiopterin, which serves as co-enzyme of nitric oxide synthase. We sought to investigate the usefulness of pteridines as biomarkers for childhood asthma control. Methods: We conducted a single-center prospective cohort study involving 168 asthmatic children aged 4–17 years who visited the periodical asthma checkup program. Serum neopterin and biopterin levels were measured as pteridines at each visit along with measurement of FeNO, respiratory function tests, nasal eosinophil test, blood eosinophil count, and IgE level. We calculated coefficients for relation between pteridines and asthma control, which was assessed by questionnaires (JPAC: Japanese Pediatric Asthma Control Program). Results: A total of 168 participants aged 10.3 ± 3.39 years (mean ± SD) with asthma were recruited. The participants in this study contained 58 patients (34.5%) of complete-controlled based on JPAC, 132 patients (76.0%) of well-controlled group based on GINA. FeNO and serum neopterin level did not correlate with following period's JPAC scores. In contrast, serum biopterin level significantly correlated with following period's JPAC total score (Coefficients 0.398; 95% CI 0.164 to 0.632; p value 0.001) and frequency of wheezing during exercise (Coefficients 0.272; 95% CI 0.217 to 0.328; p value < 0.001). Conclusions: We found serum biopterin effected the following period's control status of asthmatic children, thus monitoring biopterin level will be a useful for management of asthma to adjust treatment. Keywords: Asthma, Biomarker, Biopterin, Child, Neopteri