Miracle-dz/UniFAR-FTUs huggingface dataset:
Neuroscience nuance: dissecting the relevance of neuroscience in adjudicating criminal culpability

Most scholars who have written about the role of neuroscience in determining criminal liability and punishment take a stance somewhere between those who assert that neuroscience has virtually nothing to say about such determinations and those that claim it will upend the assumption that most choices to commit crime are blameworthy. At the same time, those who take this intermediate position have seldom clarified how they think neuroscience can help. This article tries to answer that question more precisely than most works in this vein. It identifies five types of neuroscience evidence that might be presented by the defense and discusses when that evidence is material under accepted legal doctrine. It concludes that, even on the assumption that the data presented are accurate, much commonly proffered neuroscientific evidence is immaterial or only weakly material, not only at trial but also at sentencing. At the same time, it recognizes that certain types of neuroscience evidence can be very useful in criminal adjudication, especially at sentencing.
Physical Activity, Lifestyle Factors and Oxidative Stress in Middle Age Healthy Subjects

Oxidative stress (OS) has been recognized to play a primary role in many acute and chronic diseases. Environmental and lifestyle factors, such as physical activity and dietary intake are involved in the oxidative balance, but their specific influence remains unclear. In order to contribute to a greater characterization of the oxidative status in relation to exercise training and to environmental and lifestyle factors, different biomarkers—pro-oxidant capacity (d-ROMs), anti-oxidant capacity (BAP), radical scavenging activity (DPPH) and DNA damage (8-OHdGuo)—were measured in biological samples of a group of healthy middle aged subjects. The evaluation of the investigated biomarkers highlighted a significant effect of exercise training on OS, measured as d-ROMs and 8OhdGuo, in subjects playing regular physical activity. An association of the OS status measured by DPPH and 8-OhdGuo with the condition of living in urban high traffic areas was also found. Otherwise dietary habits did not reveal any significant effect on OS levels by the investigated biomarkers. As a whole the results obtained in this investigation suggested that a correct lifestyle, with regular physical activity practice, contributes to control the OS status in middle age subjects.
Adaptation of the Freshwater Bloom-Forming Cyanobacterium Microcystis aeruginosa to Brackish Water Is Driven by Recent Horizontal Transfer of Sucrose Genes

Microcystis aeruginosa is a bloom-forming cyanobacterium found in eutrophic water bodies worldwide. M. aeruginosa blooms usually occur in freshwater; however, they have also been reported to occur in brackish water. Because M. aeruginosa often produces the cyanotoxin microcystin, they are a major concern to public health and environment. Despite this, the ecology, genomic basis, and evolutionary process underlying the M. aeruginosa bloom invasion from fresh to brackish water have been poorly investigated. Hence, in the present study, we have sequenced and characterized genomes of two newly discovered salt-tolerant M. aeruginosa strains obtained from Japanese brackish water lakes (Lakes Shinji and Tofutsu). Both genomes contain a set of genes for the synthesis of osmolyte sucrose (sppA, spsA, and susA), hitherto identified in only one strain (PCC 7806) of M. aeruginosa. Chemical and gene expression analyses confirmed sucrose accumulation induced by salt. A comprehensive genetic survey of >200 strains indicated that sucrose genes are extremely rare in M. aeruginosa. Most surprisingly, comparative genome analyses of the three strains indicated extremely low genetic diversity in the sucrose genes compared with other core genome genes, suggesting very recent acquisitions via horizontal transfer. Invasion of M. aeruginosa blooms into brackish water may be a recent event triggered by anthropogenic eutrophication of brackish water.
Digital Health Intervention for Asthma: Patient-Reported Value and Usability

Background Although digital health tools are increasingly recognized as effective in improving clinical outcomes such as asthma control and medication adherence, few studies have assessed patient experiences and perception of value. Objective The aim of this study was to evaluate patient satisfaction, perception of usability and value, and desire to continue after 12 months of using a digital health intervention to support asthma management. Methods Participants were enrolled in a randomized controlled study evaluating the impact of a digital health platform for asthma management. Participants used electronic inhaler sensors to track medication use and accessed their information in a digital health platform. Electronic surveys were administered to intervention arm participants aged 12 years and older after 12 months of use. The survey assessed asthma control, patient satisfaction with the sensor device, and perception of the usability and value of the digital health platform through closed-ended and open-ended questions. Logistic regression models were used to assess the impact of participants’ characteristics on survey completion, satisfaction, and perception of value. Results Of the 207 intervention arm participants aged 12 years and older, 89 submitted survey responses (42.9% response rate). Of these 89 participants, 70 reported being very satisfied (79%, 70/89) or somewhat satisfied (20%, 18/89) with the inhaler sensor device. Moreover, 93% (83/89) expressed satisfaction with the reports, and 90% (80/89) found the information from the reports useful for learning about their asthma. In addition, 72% (64/89) of the participants reported that they were interested in continuing to use the sensor and platform beyond the study. There were no significant differences in satisfaction with the device or the platform across participants’ characteristics, including device type, age, sex, insurance type, asthma control, or syncing history; however, participants with smartphones and longer participation were more likely to take the survey. Conclusions Electronic sensors and a digital health platform were well received by participants who reported satisfaction and perceived value. These results were consistent across multiple participants’ characteristics. These findings can add to a limited literature to keep improving digital health interventions and ensure the meaningful and enduring impact on patient outcomes.
Central venous catheterization training: current perspectives on the role of simulation

Simulation is a popular and effective training modality in medical education across a variety of domains. Central venous catheterization (CVC) is commonly undertaken by trainees, and carries significant risk for patient harm when carried out incorrectly. Multiple studies have evaluated the efficacy of simulation-based training programs, in comparison with traditional training modalities, on learner and patient outcomes. In this review, we discuss relevant adult learning principles that support simulation-based CVC training, review the literature on simulation-based CVC training, and highlight the use of simulation-based CVC training programs at various institutions.
Incidence of venous thromboembolism in psychiatric inpatients: a chart review

Purpose Venous thromboembolism (VTE) is the combination of pulmonary embolism (PE) and deep vein thrombosis. In recent years, VTE has been gaining attention in the field of psychiatry as it can cause sudden deaths in patients hospitalized in psychiatric departments. The purpose of this study was to investigate the incidence of VTE in psychiatric inpatients using contrast-enhanced computed tomography (CT). Patients and methods At the psychiatric department of the Akita University Hospital, NANOPIA® D-dimer was measured in patients with suspected symptomatic VTE or believed to be at risk for asymptomatic VTE. A follow-up contrast-enhanced CT was also performed in cases of D-dimer values over 1 µg/mL. Patients diagnosed with VTE based on contrast-enhanced CT during hospitalizations between May 1, 2009 and April 30, 2017 were analyzed. VTE incidence was compared in restrained and unrestrained catatonic and noncatatonic patients. We also investigated whether VTE was symptomatic or asymptomatic as well as its outcomes. Results The overall incidence of VTE was 2.3% (39/1,681) in the 8-year period. VTE was observed in 61.1% (11/18) of catatonic patients, 4.1% (11/270) of noncatatonic restrained patients, and 1.2% (17/1,393) of noncatatonic unrestrained patients. PE was observed in 76.9% (30/39) of VTE patients and 97.4% (38/39) of VTE patients were asymptomatic. Recovery was achieved in all cases of VTE treated with anticoagulation therapy. Conclusion These results indicate that the risk of VTE is high in psychiatric inpatients and that PE is common in these population. The data may also suggest that contrast-enhanced CT is important in surveying thrombus in suspected cases of VTE. In the psychiatric field, proper attention must be given to VTE, regardless of the presence or absence of catatonia or restraint, particularly given that PE was observed in more than 75% of cases of VTE.
Determination of fetal RHD type in plasma of RhD negative pregnant women

Abstract Alloimmunization against the RhD antigen is the most common cause of hemolytic disease of the fetus and newborn. Antenatal anti-D prophylaxis in addition to postnatal anti-D prophylaxis reduces the number of RhD-immunizations compared to only postnatal administration. Cell-free fetal DNA released from the apoptotic trophoblastic placental cells into the maternal circulation can be used to determine the fetal RHD type in a blood sample from an RhD negative mother. Based on this typing, antenatal anti-D prophylaxis can be recommended only to RhD negative women carrying an RhD positive fetus, since only these women are at risk of developing anti-D. The objective was to establish and validate a method for non-invasive fetal RHD typing. The fetal RHD genotype was studied in 373 samples from RhD negative pregnant women (median gestational week 24). DNA extracted from plasma was analyzed for the presence/absence of RHD exon 7 and 10 in a real-time PCR. The RHD genotype of the fetus was compared with the serological RhD type of the newborn. In 234 samples, the fetal RHD test was positive and in 127 samples negative. There was one false positive and no false negative results. In 12 samples, the fetal RHD type could not be determined, in all of them due to a maternal RHD gene. This method gives a reliable detection of fetal RHD positivity in plasma from RhD negative pregnant women. Antenatal anti-D prophylaxis based on the predicted fetal RhD type will avoid unnecessary treatment of pregnant women carrying an RhD negative fetus.
Selection and organization of subjective contours

Subjective contours are physically invisible borders drawn on certain images that can nevertheless be seen by humans. This is because the human vision system makes assumptions on the occlusion of objects. The study of subjective contours is important for helping us understand more about the human visual perception. The purpose of this thesis is to understand the perception of subjective contours and to detect subjective contours by computer. The previous subjective contour detection systems limit the subjective contours they can detect by restricting the locations on the figures where the subjective contours can be seen and by using the consistent subjective surface orientation. In this thesis, we consider the overall organization of subjective contours. We do not put the restriction on the subjective surface orientation because we view the subjective contour as a boundary separating the two regions locally. A model for subjective contour detection is presented based on four criteria: no prior knowledge is necessary to detect a subjective contour; a subjective contour is a special type of occluding contour; the shape of a subjective contour is determined by the viewing condition; and it is possible to have many subjective contour organizations from one image. The rules for subjective contour organization are described and the model explains different types of subjective contour organizations. There are three stages in the computer implementation of subjective contour detection. The first stage is preprocessing of figures where the real contours are segmented according to their curvature discontinuities by Lowe's curve partition method. The next stage is local processing in which each real contour segment selects all the potential subjective contours and their connecting real contour segments. The final stage is global processing to organize the real and subjective contours which can be seen at the same time. Many subjective contour images are tested and good results are produced.
Learning a Code: Machine Learning for Approximate Non-Linear Coded Computation

Machine learning algorithms are typically run on large scale, distributed compute infrastructure that routinely face a number of unavailabilities such as failures and temporary slowdowns. Adding redundant computations using coding-theoretic tools called "codes" is an emerging technique to alleviate the adverse effects of such unavailabilities. A code consists of an encoding function that proactively introduces redundant computation and a decoding function that reconstructs unavailable outputs using the available ones. Past work focuses on using codes to provide resilience for linear computations and specific iterative optimization algorithms. However, computations performed for a variety of applications including inference on state-of-the-art machine learning algorithms, such as neural networks, typically fall outside this realm. In this paper, we propose taking a learning-based approach to designing codes that can handle non-linear computations. We present carefully designed neural network architectures and a training methodology for learning encoding and decoding functions that produce approximate reconstructions of unavailable computation results. We present extensive experimental results demonstrating the effectiveness of the proposed approach: we show that the our learned codes can accurately reconstruct $64 - 98\%$ of the unavailable predictions from neural-network based image classifiers on the MNIST, Fashion-MNIST, and CIFAR-10 datasets. To the best of our knowledge, this work proposes the first learning-based approach for designing codes, and also presents the first coding-theoretic solution that can provide resilience for any non-linear (differentiable) computation. Our results show that learning can be an effective technique for designing codes, and that learned codes are a highly promising approach for bringing the benefits of coding to non-linear computations.
Online sexual victimization in youth: predictors and cross-sectional associations with depressive symptoms

Aim The aim was to analyze (i) the prevalence of online unwanted sexual solicitation (USS) victimization, (ii) predictors of online USS and (iii) the associations between online USS and depressive symptoms in Swedish pupils in grades 7-9. Methods An electronic questionnaire was disseminated in 2011 in schools in a municipality in the northern part of Sweden. Total n = 1193 (boys n = 566; girls n = 627). Logistic regression models were fitted to test the cross-sectional associations between predictors of online USS and depressive symptoms, respectively. Results One third of girls and every fifth boy reported online USS victimization. In boys, predictors associated with online USS were offline bullying and sexual harassment victimization. Only offline sexual harassment victimization was associated with online USS in girls. Girls victimized by online USS had about twice the likelihood to report depressive symptoms compared to non-victimized girls. There were no associations between online USS and depressive symptoms in boys. While offline bullying was associated with depressive symptoms in both genders, offline sexual harassment victimization increased the likelihood to report depressive symptoms in girls only. Conclusions Online USS was common among Swedish youth, particularly among girls. Schools, parents and internet safety educators should look at co-occurrence of different forms of victimization as offline victimization was a predictor of online USS. Online USS was associated with depressive symptoms in girls and may hence be a factor driving gender inequity in mental health in youth.
Multilocus phylogeny of the Trichophyton mentagrophytes species complex and the application of matrix-assisted laser desorption/ionization–time-of-flight (MALDI-TOF) mass spectrometry for the rapid identification of dermatophytes

ABSTRACT Despite intensive studies of the Trichophyton mentagrophytes species complex, its taxonomy still causes confusion. In this study, more than 70 dermatophytes were analyzed based on nuc rDNA ITS1-5.8S-ITS2 (ITS), D1–D2 domains of nuc 28S rDNA (D1D2), and β-tubulin gene (TUBB) sequences to clarify phylogenetic relationships in the complex. This demonstrated that strains of the complex were divided into three major lineages with high statistical support: (i) T. benhamiae and related species; (ii) T. simii and two related species, T. quinckeanum and T. schoenleinii; and (iii) T. mentagrophytes, T. interdigitale, and related species. The major lineages could be further divided into 18 phylogroups, representing either individual species or phylogenetically distinct groups within species. Among strains of T. benhamiae, African isolates American Type Culture Collection (ATCC) 28064 and 28065 formed a phylogenetically distinct phylogroup from their type strain and were considered a distinct species. Strains of T. mentagrophytes were divided into at least four phylogroups based on combined sequence analysis, but some phylogroups showed closer relationships to T. interdigitale, T. equinum, and T. tonsurans when compared by individual genes. This indicates that identifying those species with one gene could lead to incorrect results. For rapid identification of those dermatophytes, each phylogroup was tested by matrix-assisted laser desorption/ionization–time-of-flight (MALDI-TOF) mass spectrometry using a database with customized reference spectra of each phylogroup. This system was able to identify all the tested strains to species level with higher than 91% accuracy, except for strains of T. interdigitale. The three phylogroups of T. benhamiae were well distinguished from one another with high identification accuracy, whereas phylogroups of T. mentagrophytes were often cross-identified to one another or to T. interdigitale. Further research should improve identification accuracy for some species, but the results suggested that MALDI-TOF MS could be a rapid and efficient identification tool for closely related dermatophytes in the T. mentagrophytes species complex.
Antibiotics, acetaminophen and infections during prenatal and early life in relation to type 1 diabetes.

Background Infections in early life have been linked to type 1 diabetes (T1D) risk, but no previous study has comprehensively analysed exposure to antibiotics, acetaminophen and infections during pregnancy and early childhood in relation to offspring risk of T1D. Methods Participants in the Norwegian Mother and Child Cohort Study (n = 114 215 children, of whom 403 children were diagnosed with T1D) reported infections and medication use through repeated questionnaires from pregnancy until the children were 18 months old. Adjusted hazard ratios (aHR) for offspring T1D were estimated through Cox regression adjusted for child's sex, maternal age and parity, maternal T1D, smoking in pregnancy, education level, pre-pregnancy body mass index (BMI) and birthweight. Antibiotic use was also analysed in a population-based register cohort of 541 036 children of whom 836 developed T1D. Results Hospitalization for gastroenteritis during the first 18 months of life was associated with increased risk (aHR 2.27, 95% CI 1.21 - 4.29, P = 0.01) of T1D. Childhood infections not requiring hospitalization, or any kind of maternal infection during pregnancy, did not predict offspring risk of T1D. Antibiotic or acetaminophen use in pregnancy, or child`s use in early childhood, was not associated with risk of T1D. Conclusions Our study, which is population-based and the largest of its kind, did not find support for general early life infections, infection frequency or use of antibiotics or acetaminophen to play a major role in childhood T1D. Hospital admission for gastroenteritis was associated with T1D risk, but must be interpreted cautiously due to scarcity of cases.
Ultrastructure of the spermatozoon of the teleost fish Acanthopagrus schlegeli (Perciformes: Sparidae)

Ultrastructurally the spermatozoon of Acanthopagrus schlegeli (Sparidae) has a spherical, homogeneously electron‐dense nucleus with a deep axial nuclear fossa, and an unusual notch, shaped like a bowtie, in the nuclear region. The short midpiece contains four spherical mitochondria and encircles the basal body of the flagellum. It is concluded that the spermatozoon is of a primitive type, although it is characterized by several unique features which may provide useful systematic characters. © 1993 Wiley‐Liss, Inc.
Irinotecan and Δ9-Tetrahydrocannabinol Interactions in Rat Liver: A Preliminary Evaluation Using Biochemical and Genotoxicity Markers

There is growing interest regarding the use of herbal preparations based on Cannabis sativa for medicinal purposes, despite the poorly understood interactions of their main constituent Δ9-tetrahydrocannabinol (THC) with conventional drugs, especially cytostatics. The objective of this pilot study was to prove whether the concomitant intake of THC impaired liver function in male Wistar rats treated with the anticancer drug irinotecan (IRI), and evaluate the toxic effects associated with this exposure. IRI was administered once intraperitoneally (at 100 mg/kg of the body weight (b.w.)), while THC was administered per os repeatedly for 1, 3, and 7 days (at 7 mg/kg b.w.). Functional liver impairments were studied using biochemical markers of liver function (aspartate aminotransferase—AST, alanine aminotransferase—ALP, alkaline phosphatase—AP, and bilirubin) in rats given a combined treatment, single IRI, single THC, and control groups. Using common oxidative stress biomarkers, along with measurement of primary DNA damage in hepatocytes, the degree of impairments caused at the cellular level was also evaluated. THC caused a time-dependent enhancement of acute toxicity in IRI-treated rats, which was confirmed by body and liver weight reduction. Although single THC affected ALP and AP levels more than single IRI, the levels of liver function markers measured after the administration of a combined treatment mostly did not significantly differ from control. Combined exposure led to increased oxidative stress responses in 3- and 7-day treatments, compared to single IRI. Single IRI caused the highest DNA damage at all timepoints. Continuous 7-day oral exposure to single THC caused an increased mean value of comet tail length compared to its shorter treatments. Concomitant intake of THC slightly affected the levels of IRI genotoxicity at all timepoints, but not in a consistent manner. Further studies are needed to prove our preliminary observations, clarify the underlying mechanisms behind IRI and THC interactions, and unambiguously confirm or reject the assumptions made herein.