Miracle-dz/UniFAR-FTUs huggingface dataset:
Inferred systolic blood pressure levels to switch from lifestyle modifications to antihypertensive medications: a success-rate oriented simulation

ABSTRACT Objective: This simulation study attempted to infer the systolic blood pressure (SBP) levels at which subjects with hypertension, health nurses, and primary physicians should switch their preference of their treatment policies from lifestyle modifications to antihypertensive medications in virtual Japanese sample populations. Methods: We assumed that SBP levels were normally distributed and that the incidence rate of cardiovascular disease (IRCVD, events/year) increased exponentially according to SBP. The total IRCVD was calculated by the definite integral for the product of the distribution of SBP multiplied by IRCVD at each SBP level. The success rates were calculated according to SBP and metabolic risk profiles in the two approaches, respectively. We deduced the hypothetical SBP levels by solving differential equations of ∆(IRCVD)/ ∆(SBP) = 0 using numerical analysis. Results: In the realistic situations where the subjects were not affirmative to antihypertensive medications, the inferred SBP level to switch from lifestyle modifications to antihypertensive medications should be around 150 mmHg. If the subjects are affirmative to antihypertensive medications, the SBP level should be lowered to 140 mm Hg. Conclusion: This success rate-oriented simulation proposes that the SBP level to switch from lifestyle modifications to antihypertensive medications can be modulated according to the behavioral propensity for taking antihypertensive medications. Abbreviations: The following abbreviations are used in this manuscript: CVD: cardiovascular disease; LM: lifestyle modifications; AM: antihypertensive medications; IRCVD: incidence rate of cardiovascular disease (events/year); SBP: systolic blood pressure; ∆IRCVD: the improvements in the incidence rate of cardiovascular disease by lifestyle modifications and/or by antihypertensive medications.
Unsupervised Domain Adaptation: An Adaptive Feature Norm Approach

Unsupervised domain adaptation aims to mitigate the domain shift when transferring knowledge from a supervised source domain to an unsupervised target domain. Adversarial Feature Alignment has been successfully explored to minimize the domain discrepancy. However, existing methods are usually struggling to optimize mixed learning objectives and vulnerable to negative transfer when two domains do not share the identical label space. In this paper, we empirically reveal that the erratic discrimination of target domain mainly reflects in its much lower feature norm value with respect to that of the source domain. We present a non-parametric Adaptive Feature Norm AFN approach, which is independent of the association between label spaces of the two domains. We demonstrate that adapting feature norms of source and target domains to achieve equilibrium over a large range of values can result in significant domain transfer gains. Without bells and whistles but a few lines of code, our method largely lifts the discrimination of target domain (23.7\% from the Source Only in VisDA2017) and achieves the new state of the art under the vanilla setting. Furthermore, as our approach does not require to deliberately align the feature distributions, it is robust to negative transfer and can outperform the existing approaches under the partial setting by an extremely large margin (9.8\% on Office-Home and 14.1\% on VisDA2017). Code is available at https://github.com/jihanyang/AFN. We are responsible for the reproducibility of our method.
Determinants of Exclusive Breastfeeding in a Sample of Egyptian Infants

BACKGROUND: Breastfeeding is an optimum, healthy, and economical mode of feeding an infant. However, many preventable obstacles hinder exclusive breastfeeding in the first six months of life. AIM: We aimed to assess the social-, maternal- and infant-related factors disturbing exclusive breastfeeding in the first six months of life. METHODS: It is a retrospective study included 827 dyads of mothers and infants older than 6 months (411 exclusively breastfed, 311 artificially-fed and 105 mixed feds). Mothers were interviewed to obtain sociodemographic information, maternal medical history and perinatal history and a detailed history of infant feeding. RSULTS: Many factors were found to support the decision for artificial feeding rather than exclusive breastfeeding, including maternal age < 25 years (OR = 2.252), child birth order > 3rd (OR = 2.436), being a primi-para (OR = 1.878), single marital status (OR = 2.762), preterm infant (OR = 3.287) and complicated labor (OR = 1.841). Factors in favor of mixed feeding included cesarean section (OR = 2.004) and admission to the Neonatal Intensive Care Unit (OR = 1.925). CONCLUSIONS: Although it isn’t a community-based study and its results can’t be generalised, plans to improve health and development of children are preferable to include the following: health education and awareness programs about the importance of exclusive breastfeeding should be directed for young and first-time mothers. Improved antenatal care to reduce perinatal and neonatal problems; and training, monitoring, and supervising community health care workers to recognise labour complications and provide support and knowledge to lactating mothers.
Spectral Multigraph Networks for Discovering and Fusing Relationships in Molecules

Spectral Graph Convolutional Networks (GCNs) are a generalization of convolutional networks to learning on graph-structured data. Applications of spectral GCNs have been successful, but limited to a few problems where the graph is fixed, such as shape correspondence and node classification. In this work, we address this limitation by revisiting a particular family of spectral graph networks, Chebyshev GCNs, showing its efficacy in solving graph classification tasks with a variable graph structure and size. Chebyshev GCNs restrict graphs to have at most one edge between any pair of nodes. To this end, we propose a novel multigraph network that learns from multi-relational graphs. We model learned edges with abstract meaning and experiment with different ways to fuse the representations extracted from annotated and learned edges, achieving competitive results on a variety of chemical classification benchmarks.
ADAMTS8 targets ERK to suppress cell proliferation, invasion, and metastasis of hepatocellular carcinoma

Introduction Hepatocellular carcinoma (HCC) is one of the most common malignant tumors of the digestive system. A disintegrin and metallopeptidase with thrombospondin motif (ADAMTS) has been identified as a secreted metalloproteinase that participates in the inhibition of tumor cell growth and invasion. The aims of the present study were to investigate the clinical significance of ADAMTS8 in patients with HCC and to determine the effect of ADAMTS8 on HCC cell biological activity in vitro and in vivo. Methods The tumor tissues and matched adjacent non-tumor tissues were collected from 61 patients with HCC, and ADAMTS8 expression was detected with immunohistochemistry. Flow cytometry and MTT assays were used to assess cell apoptosis and cell viability, respectively, and ERK, p-ERK, Stat3, p-Stat3, Akt, and p-Akt protein expressions were measured by Western blot. Results The results showed that ADAMTS8 expression was significantly lower in HCC tissues than that in adjacent non-tumor tissues. Moreover, ADAMTS8 expression was inversely associated with clinical stages and metastasis in patients with HCC. Furthermore, we found that transfection with exogenous ADAMTS8 inhibited proliferation and migration and induced apoptosis in HepG2 cells. In the in vivo study, tumor growth of upregulated HepG2 cells in nude mice was significantly slower. Moreover, decreased ERK activity was detected after transfection with ADAMTS8. Conclusion These results indicate that low ADAMTS8 expression is a predictor of a poor prognosis in patients with HCC and that ADAMTS8 plays an important role in regulating HCC growth, invasion, and apoptosis by modulating the ERK signaling pathway. ADAMTS8 maybe a new target in HCC treatment.
Decreased Blood Levels of Oxytocin in Ketamine-Dependent Patients During Early Abstinence

Background: Ketamine, an N-methyl-D-aspartate (NMDA) receptor antagonist, is a common drug of abuse worldwide. Existing evidence suggest a disruption of oxytocin system involves in the development of addiction. In this study, we aimed to investigate the role of oxytocin in ketamine addiction by measuring the blood oxytocin levels in ketamine-dependent (KD) patients. Methods: Sixty-five KD patients and 65 controls were enrolled. Fasting plasma levels of oxytocin were determined at baseline and 1 and 2 weeks after ketamine withdrawal. Ketamine use variables, Beck Depression Inventory, Beck Anxiety Inventory (BAI), Visual Analog Scale for craving, and Childhood Trauma Questionnaire-short form were assessed in KD patients. Results: KD patients had significantly lower levels of oxytocin at baseline compared to controls (5.89 ± 2.13 vs. 9.53 ± 4.17 ng/mL, P < 0.001). Oxytocin levels increased after one (6.74 ± 2.63, P < 0.002) and 2 weeks (6.89 ± 2.69, P = 0.01) of withdrawal in KD patient despite the levels were still lower than controls (P = 0.001 and 0.002, respectively). The clinical variables did not correlate with baseline oxytocin levels except BAI scores, which showed a negative correlation with the levels (r = −0.263; P = 0.039). Conclusion: We found a distinctively reduced oxytocin level in KD patients and the level did not normalize after early abstinence. Lower oxytocin might be associated with anxious phenotype of ketamine dependence. These results suggest that oxytocin system dysregulated following chronic ketamine abuse and might provide insight in evaluating the potential therapeutic use of oxytocin for treating ketamine dependence.
Practical Deep Reinforcement Learning Approach for Stock Trading

Stock trading strategy plays a crucial role in investment companies. However, it is challenging to obtain optimal strategy in the complex and dynamic stock market. We explore the potential of deep reinforcement learning to optimize stock trading strategy and thus maximize investment return. 30 stocks are selected as our trading stocks and their daily prices are used as the training and trading market environment. We train a deep reinforcement learning agent and obtain an adaptive trading strategy. The agent's performance is evaluated and compared with Dow Jones Industrial Average and the traditional min-variance portfolio allocation strategy. The proposed deep reinforcement learning approach is shown to outperform the two baselines in terms of both the Sharpe ratio and cumulative returns.
Keeping up with the prostate-specific membrane antigens (PSMAs): an introduction to a new class of positron emission tomography (PET) imaging agents

Prostate-specific membrane antigen (PSMA) targeted positron emission tomography (PET) is an emerging prostate cancer imaging method, which has been reported to have a higher sensitivity and specificity than the currently approved PET imaging agents. Multiple PSMA ligands are being investigated around the world and applications range from primary tumor characterization, to local staging, biochemical recurrence, metastasis, and image-guided interventions. The most investigated PET tracers are labelled with 68-Gallium or 18-Fluoride and are discussed in this review. Additionally, 99mTc labeled PSMA agents for single photon emission computed tomography (SPECT) imaging are elucidated as an alternative method of PSMA image acquisition.
Robust Ego-motion Estimation and Map Matching Technique for Autonomous Vehicle Localization with High Definition Digital Map

One of the essential technologies required for environmental recognition of an autonomous vehicle is a localization technique that recognizes the position and orientation of the vehicle. In contrast to previous localization techniques that generate map data from sensor data itself, there is an increasing number of studies using high definition (HD) digital maps. The map-based localization technology consists of predicting the position of the next step through the ego-motion of the vehicle and determining the position through map matching. In this paper, we propose a robust ego-motion estimation and map matching technology for robust vehicle localization. First, we propose a visual odometry (VO) model for robust ego-motion estimation and a vehicle planar motion model based on in-vehicle sensors to improve the robustness of VO in the absence of image features. We also introduce a new line segmentation matching model and a geometric correction method of extracted road marking from an inverse perspective mapping (IPM) for robust map matching techniques. The technology proposed in this paper has been verified in various ways through real autonomous vehicles and successfully acquired the autonomous driving license of the Republic of Korea.
Role of Cnot6l in maternal mRNA turnover

Mice lacking Cnot6l, a deadenylase component of the CCR4–NOT complex, are viable, but females have ∼40% smaller litters. Cnot6l is a maternal-effect gene acting in maternal mRNA degradation. Removal of poly(A) tail is an important mechanism controlling eukaryotic mRNA turnover. The major eukaryotic deadenylase complex CCR4-NOT contains two deadenylase components, CCR4 and CAF1, for which mammalian CCR4 is encoded by Cnot6 or Cnot6l paralogs. We show that Cnot6l apparently supplies the majority of CCR4 in the maternal CCR4-NOT in mouse, hamster, and bovine oocytes. Deletion of Cnot6l yielded viable mice, but Cnot6l−/− females exhibited ∼40% smaller litter size. The main onset of the phenotype was post-zygotic: fertilized Cnot6l−/− eggs developed slower and arrested more frequently than Cnot6l+/− eggs, suggesting that maternal CNOT6L is necessary for accurate oocyte-to-embryo transition. Transcriptome analysis revealed major transcriptome changes in Cnot6l−/− ovulated eggs and one-cell zygotes. In contrast, minimal transcriptome changes in preovulatory Cnot6l−/− oocytes were consistent with reported Cnot6l mRNA dormancy. A minimal overlap between transcripts sensitive to decapping inhibition and Cnot6l loss suggests that decapping and CNOT6L-mediated deadenylation selectively target distinct subsets of mRNAs during oocyte-to-embryo transition in mouse.
Establishing spatial and temporal patterns in Microcystis sediment seed stock viability and their relationship to subsequent bloom development in Western Lake Erie

This study assessed the distribution, abundance, and viability of pre- and post-overwintering Microcystis sediment seed stocks in Western Lake Erie and how these variables are potentially related to past and subsequent bloom formation. We conducted a two-year spatiotemporal survey of vegetative seed stocks in Western Lake Erie, the region where annual algal blooms generally develop. Sediment was collected from 16 sites covering an area of 375 km2 and water column depths ranging from 3–9 meters. Sample collection occurred in November 2014, April 2015, November 2015, and April 2016. The abundance of total and potentially-toxic Microcystis cell equivalents were determined using quantitative polymerase chain reaction. A series of laboratory experiments using lake sediment were conducted to assess the viability of Microcystis vegetative seed stocks. Across all sampling periods, the abundance of total Microcystis in the sediment ranged from 6.6 x 104 to 1.7 x 109 cell equivalents g-1, and potentially-toxic Microcystis ranged from 1.4 x 103 to 4.7 x 106 cell equivalents g-1. The percent potentially-toxic Microcystis in the sediment ranged from <1% to 68% across all samples. Total Microcystis abundance diminished significantly over winter with densities in spring nearly 10 times less than the previous fall. However, despite cell loss from fall to spring, lab experiments demonstrated that remaining non-toxic and potentially-toxic cells were viable after the overwintering period. Further, lab grow-out experiments indicate that potentially-toxic strains recruited at a slightly higher rate than non-toxic strains, and may in part, contribute to the pattern of higher relative toxicity during early stages of the blooms. The abundance and distribution of overwintering cells did not correlate strongly to areas in the lake where subsequent summer blooms were most persistent. However, numerical analysis suggests that recruitment of benthic overwintering populations could help explain a portion of the initial rapid increase in bloom biomass and the spatial extent of this bloom initiation, particularly when recruitment is paired with subsequent growth in appropriate water column conditions.
Scaling Up Evidence-Based Public Health Training

Evidence-based public health (EBPH) is the process of integrating science-based interventions with community preferences. Training in EBPH improves the knowledge and skills of public health practitioners. To reach a wider audience, we conducted scale-up efforts including a train-the-trainer version of the EBPH course to build states’ capacity to train additional staff. In this essay, we describe formats for course delivery and local adaptations to content, and we review success factors and barriers for state-based replication of the EBPH training course. Findings were based on our experiences and interviews. EBPH training was delivered in varied blended formats as well as in person and in distance courses, each with advantages and disadvantages. Adaptations were made to meet the needs of learners. Success factors included having committed and competent coordinators and trainers, organizational incentives, leadership support, funding, internal and external collaborators, the infrastructure to support training, and models to learn from. Barriers reported included insufficient staff or trainer capacity; time constraints for organizers, trainers, and participants; and lack of sustained funding. We hope our experience and findings will be a guide for states that are committed to building and sustaining capacity through continued EBPH training. Our lessons may also apply more generally to other workforce development training efforts.
Inhibition in ADHD and non-ADHD children ages 6-12 years

Attention-Deficit/Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder that begins to emerge in childhood. This disorder is caused by an impaired prefrontal cortex (PFC) development that affects executive functions, particularly in inhibition, resulting in loss of cognitive and behavior control. This research aims to investigate the difference between inhibition in ADHD and non-ADHD children ages 6-12 years old and between the three subtypes of ADHD. Subjects in this study were children with ADHD (N=34) which consists of the inattentive type (N=14), hyperactive-impulsive type (N=9), and combination type (N=11), as well as non-ADHD children (N=34). This research used the causal-comparative method. The instrument which was utilized in this study is The Stroop Color and Word test to measure inhibition. Results of this research showed that there are differences in inhibition between ADHD and non-ADHD children and between age 6-9 years and 10-12 years old children. However, there is no difference of inhibition between three subtypes of ADHD.
The knowledge, perceptions and relationship behaviour of rugby and football players towards HIV infection at the University of Limpopo

Background Sport has the capability to unite a country. To achieve winning teams, athletes have to rely on each other and often have close physical contact. Disclosure of a positive human immunodeficiency virus (HIV) status may be problematic for athletes in contact sports as they may suffer discrimination and stigmatisation which may impact their relationship behaviours. This may impact frontline nursing and medical staff dealing with on-field ‘blood’ injuries. Objectives The purpose of this study was to determine if individuals who participate in football and rugby are aware of the risk of HIV infection in contact sports and their perceptions and reported behaviour towards HIV-positive athletes. Method A cross-sectional survey design with a qualitative element. Quantitative data were analysed using descriptive statistics, while thematic content analysis was used to analyse qualitative data. Non-proportional quota sampling was used for male rugby (n = 23) and football (30) players registered at the University of Limpopo (Turfloop campus). Results The results supported previous research in that there are gaps in HIV knowledge. For instance, not knowing that anal sex may cause HIV infection and believing that saliva can transmit HIV and that blood transfusions are unsafe. Conclusion Problematic findings were that a portion of the sample believed that having sex with a virgin could cure HIV and the majority of the sample believed that being ‘bewitched’ could cause HIV and acquired immunodeficiency syndrome (AIDS).
Dissecting the Genomic Architecture of Resistance to Eimeria maxima Parasitism in the Chicken

Coccidiosis in poultry, caused by protozoan parasites of the genus Eimeria, is an intestinal disease with substantial economic impact. With the use of anticoccidial drugs under public and political pressure, and the comparatively higher cost of live-attenuated vaccines, an attractive complementary strategy for control is to breed chickens with increased resistance to Eimeria parasitism. Prior infection with Eimeria maxima leads to complete immunity against challenge with homologous strains, but only partial resistance to challenge with antigenically diverse heterologous strains. We investigate the genetic architecture of avian resistance to E. maxima primary infection and heterologous strain secondary challenge using White Leghorn populations of derived inbred lines, C.B12 and 15I, known to differ in susceptibility to the parasite. An intercross population was infected with E. maxima Houghton (H) strain, followed 3 weeks later by E. maxima Weybridge (W) strain challenge, while a backcross population received a single E. maxima W infection. The phenotypes measured were parasite replication (counting fecal oocyst output or qPCR for parasite numbers in intestinal tissue), intestinal lesion score (gross pathology, scale 0–4), and for the backcross only, serum interleukin-10 (IL-10) levels. Birds were genotyped using a high density genome-wide DNA array (600K, Affymetrix). Genome-wide association study located associations on chromosomes 1, 2, 3, and 5 following primary infection in the backcross population, and a suggestive association on chromosome 1 following heterologous E. maxima W challenge in the intercross population. This mapped several megabases away from the quantitative trait locus (QTL) linked to the backcross primary W strain infection, suggesting different underlying mechanisms for the primary- and heterologous secondary- responses. Underlying pathways for those genes located in the respective QTL for resistance to primary infection and protection against heterologous challenge were related mainly to immune response, with IL-10 signaling in the backcross primary infection being the most significant. Additionally, the identified markers associated with IL-10 levels exhibited significant additive genetic variance. We suggest this is a phenotype of interest to the outcome of challenge, being scalable in live birds and negating the requirement for single-bird cages, fecal oocyst counts, or slaughter for sampling (qPCR).