Miracle-dz/UniFAR-FTUs huggingface dataset:
A Low Fixed Tacrolimus Starting Dose Is Effective and Safe in Chinese Renal Transplantation Recipients

Background We investigated whether a low fixed Tac starting dose regimen could lead to a better achievement of Tac target concentrations, as well as an effective immunosuppressive treatment, in Chinese kidney transplant recipients (KTRs). Material/Methods We collected whole-blood and serum samples from 189 KTRs and the Tac starting dose was 2, 2.5, or 3 mg/day. Information on Tac C0, dose, body weight, body mass index (BMI), Scr, eGFR, and CYP3A5 genotypes were collected from a routine therapeutic drug monitoring database. The correlation between Tac C0 and body weight (or BMI) was investigated by calculating the goodness of fit. Multivariable logistic regression was performed to estimate the independent associated factors. Results The patients with 3 mg per day of Tac had higher C0 at day 7 compared to those with 2 or 2.5 mg. For patients receiving the same Tac starting dose, no significant difference was found in Tac C0 at day 7 among different body weight or BMI groups. There was no significant difference in Scr or eGFR at 1 year after transplant, nor was there a significant difference in the rates of DGF or AR at post-transplant day 30 among different Tac starting dose groups or among the 3 Tac C0 range groups. CYP3A5 genotype and Tac initial dose were independently associated with Tac C0. Conclusions CYP3A5 genotype and Tac initial dose were independently associated with Tac C0 in renal transplant recipients. Our results suggest that a low Tac target C0 range (5–8 ng/ml) with a low fixed starting dose (3 mg/day) would be safe and effective among Chinese KTRs.
Nonsurgical Medical Penile Girth Augmentation: A Retrospective Study of Psychological and Psychosexual Outcomes

BACKGROUND Although interest in penile augmentation procedures is increasing, there is a significant lack of research into the psychological and psychosexual outcomes of these procedures. OBJECTIVES To investigate the psychological and psychosexual outcomes of nonsurgical medical penile girth augmentation. METHODS This retrospective study involved a mixed method approach. Twenty-five men who had undergone a nonsurgical medical penile girth augmentation between 1 and 12 months prior (mean, 6.6 months) completed an online questionnaire containing measures of procedure motivation, procedure satisfaction, genital self-image, penile-focused body dysmorphic disorder symptoms, self-esteem, and sexual relationship satisfaction. Six of these men elected to complete in-depth one-to-one semi-structured phone interviews to further explore the psychological impacts of the procedure. RESULTS In the online questionnaire, most men were satisfied with their penile size, appearance, and function after penile girth augmentation. The men also reported statistically significant improvements in their genital self-image (P < 0.001) and self-esteem (P = 0.008), and a reduction in penile-focused body dysmorphic disorder symptoms (P = 0.002) at the time of completing the questionnaire compared to recalled pre-procedural levels. The in-depth interviews yielded 3 themes surrounding penile augmentation outcomes: (1) high satisfaction with increased penis girth; (2) increased self-confidence, particularly in situations in which the penis would be seen, such as a locker room; and (3) increased sexual confidence, but some mixed impacts on sexual relationships. CONCLUSIONS Most men appear to be satisfied with their nonsurgical medical penile girth augmentation results, and they also seem to experience improvements in their overall self-esteem. LEVEL OF EVIDENCE: 4
Magnetic Resonance Imaging Selection for Endovascular Stroke Therapy: Workflow in the GOLIATH Trial

Background and Purpose— The GOLIATH trial (General or Local Anesthesia in Intra-Arterial Therapy) compared infarct growth and outcome in patients undergoing endovascular therapy under either general anesthesia or conscious sedation. Magnetic resonance imaging was performed before and after the procedure to study infarct growth. In this post hoc analysis of GOLIATH, we aimed to characterize the workflow of patients undergoing magnetic resonance imaging selection before endovascular therapy. Methods— We randomized 128 patients with anterior circulation large vessel occlusion stroke within 6 hours of onset to either general anesthesia or conscious sedation (1:1 allocation). We studied workflow time intervals to examine whether magnetic resonance imaging conferred a time delay in treatment when compared with computed tomography-based studies that emphasized rapid workflow. Results— Of 128 patients enrolled between March 2015 and February 2017, 65 were randomized to general anesthesia. Baseline demographic and clinical variables were balanced between the treatment arms. The median interval from scan to groin puncture was 56.5 minutes (interquartile range, 44.5–73.5) for all patients. The median interval from admission to groin puncture was 68 minutes (interquartile range, 54.5–87 minutes). Comparable intervals in recent randomized data were 51 minutes (interquartile range, 39–68) for scan to groin puncture in the ESCAPE trial (Endovascular Treatment for Small Core and Anterior Circulation Proximal Occlusion With Emphasis on Minimizing CT to Recanalization Times) and 90 minutes (interquartile range, 69–120 minutes) for door to groin puncture in the SWIFT-PRIME study (Solitaire With the Intention for Thrombectomy as Primary Endovascular Treatment). Conclusions— Workflow in GOLIATH demonstrates that magnetic resonance imaging selection for endovascular therapy can be accomplished rapidly and within a similar time frame as computed tomography-based selection. Clinical Trial Registration— URL: https://www.clinicaltrials. gov. Unique identifier: NCT02317237.
3D Multiple Object Tracking Boosts Working Memory Span: Implications for Cognitive Training in Military Populations

Recently, there has been much theoretical and applied interest in the prospects of cognitive training for improving cognition. NeuroTracker is a relatively recent training device for improving dynamic attention in athletes by training 3D multiple-object tracking skills. We examined its effectiveness for improving working memory (WM) span in members of the Canadian Armed Forces (CAF) by randomly assigning participants to the experimental (NeuroTracker), active control (adaptive dual n-back task), or passive control (no contact) conditions. NeuroTracker training resulted in significant gains in verbal, visual, and matrix span. No gain was observed in the active or passive control group. These results suggest that NeuroTracker could be a useful training tool for increasing WM span in military samples. Future studies could examine the effects of NeuroTracker training on militarily relevant performance measures that draw on WM span.
Emotion, Sociality, and the Brain’s Default Mode Network

Education research—for example, on character, stereotype threat, and identity-based motivation—demonstrates that social and emotional factors influence students’ cognitive abilities and academic achievement. In parallel, recent advances in social-affective and cultural neuroscience reveal the social nature of human brain development and neural processing. Neuroscience can inform educational practice and policy by uncovering the mechanisms that may produce the observed social and emotional effects on learning. One major advance shows how the brain’s Default Mode Network supports social-emotional feelings and broader thought patterns associated with self-processing, identity, meaning-making, and future-oriented thought. This article introduces policy makers to this research and its implications for educational decision making.
In-Situ Preparation of Aramid-Multiwalled CNT Nano-Composites: Morphology, Thermal Mechanical and Electric Properties

In this work in-situ polymerization technique has been used to chemically link the functionalized multiwalled carbon nanotubes (CNTs) with aramid matrix chains. Phenylene diamine monomers were reacted in the first stage with the carboxylic acid functionalized CNTs and then amidized in-situ using terephthaloyl chloride generating chemically bonded CNTs with the matrix. Various proportions of the CNTs were used to prepare the hybrid materials. The functionalization procedure was studied by Fourier transform infrared (FTIR) spectroscopy and composite morphology investigated by scanning electron microscopy (SEM). Thermal mechanical properties of these hybrids, together with those where pristine CNTs with similar loadings were used, are compared using tensile and dynamic mechanical analysis (DMA). The tensile strength and temperature involving α-relaxations on CNT loading increased with CNT loading in both systems, but much higher values, i.e., 267 MPa and 353 °C, respectively, were obtained in the chemically bonded system, which are related to the nature of the interface developed as observed in SE micrographs. The water absorption capacity of the films was significantly reduced from 6.2 to 1.45% in the presence pristine CNTs. The inclusion of pristine CNTs increased the electric conductivity of the aramid films with a minimum threshold value at the loading of 3.5 wt % of CNTs. Such mechanically strong and thermally stable aramid and easily processable composites can be suitable for various applications including high performance films, electromagnetic shielding and radar absorption.
The Persistent Low-Prevalence Effect in Unfamiliar Face-Matching: The Roles of Feedback and Criterion Shifting

In visual search, relatively infrequent targets are more likely to be “missed,” a phenomenon known as the low-prevalence effect (LPE). Across five experiments, we examined the LPE in unfamiliar face matching, focusing on the roles of feedback and criterion shifting. Across experiments, observers made identity match/mismatch decisions to photograph pairs, and we manipulated target (i.e., identity mismatch) prevalence. Experiment 1 established the necessity of feedback for the LPE; observers were only sensitive to prevalence disparities when provided trial-level feedback. In Experiment 2, target prevalence affected decision criteria, without concomitant effects on perceptual sensitivity. In Experiments 3 through 5, we adopted a “retraining” paradigm, in which observers encountered blocks of high-prevalence targets midway through four 50-trial face-matching quartiles. High-prevalence targets were visually obvious (Experiment 3) or less obvious (Experiments 4 and 5). Whereas observers in equal-prevalence conditions remained unbiased throughout the experiments, those in low-prevalence conditions adopted conservative criteria by the second quartile. This criterion shift was largely resistant to “unbiasing” efforts. Only Experiment 5, which used an 18-item retraining block, revealed a successful (albeit slight) third-quartile liberal criterion shift, but observers were strongly conservative again by the fourth quartile. We discuss the applied and theoretical consequences of these results.
Diurnal down-regulation of ethylene biosynthesis mediates biomass heterosis

Significance Heterosis is a fundamental biological phenomenon and important to crop and animal production. However, molecular mechanisms for heterosis remain elusive. Ethylene promotes fruit ripening but inhibits vegetative growth. Here we report that diurnal down-regulation of ethylene biosynthesis genes in Arabidopsis thaliana F1 hybrids corresponds to the decrease of ethylene production and biomass heterosis. Expression of ACS genes is diurnally and indirectly regulated by CCA1 during the day and directly regulated by PIF5 at night. Disruption of ethylene biosynthesis or signaling transduction leads to higher biomass, while application of exogenous ethylene reduced growth vigor, further validating the negative roles of ethylene in biomass heterosis. Thus, ethylene can integrate circadian rhythms and light signaling to regulate growth vigor in plant hybrids. Heterosis is widely applied in agriculture; however, the underlying molecular mechanisms for superior performance are not well understood. Ethylene biosynthesis and signaling genes are shown to be down-regulated in Arabidopsis interspecific hybrids. Ethylene is a plant hormone that promotes fruit ripening and maturation but inhibits hypocotyl elongation. Here we report that application of exogenous ethylene could eliminate biomass vigor in Arabidopsis thaliana F1 hybrids, suggesting a negative role of ethylene in heterosis. Ethylene biosynthesis is mediated by the rate-limiting enzyme, 1-aminocyclopropane-1-carboxylate synthase (ACS). Down-regulation of ACS genes led to the decrease of ethylene production, which was associated with the high-vigor F1 hybrids, but not with the low-vigor ones. At the mechanistic level, expression of ACS genes was down-regulated diurnally and indirectly by Circadian Clock Associated 1 (CCA1) during the day and directly by Phyotochrome-Interacting Factor 5 (PIF5) at night. Consistent with the negative role of ethylene in plant growth, biomass vigor was higher in the acs mutants than in wild-type plants, while increasing endogenous ethylene production in the hybridizing parents reduced growth vigor in the hybrids. Thus, integrating circadian rhythms and light signaling into ethylene production is another regulatory module of complex biological networks, leading to biomass heterosis in plants.
Optimizing Image Acquisition Systems for Autonomous Driving

Task requirements for image acquisition systems vary substantially between applications: requirements for consumer photography may be irrelevant or may even interfere with requirements for automotive, medical and other applications. The remarkable capabilities of the imaging industry to create lens and sensor designs for specific applications has been demonstrated in the mobile computing market. We might expect that the industry can further innovate if we specify the requirements for other markets. This paper explains an approach to developing image system designs that meet the task requirements for autonomous vehicle applications. It is impractical to build a large number of image acquisition systems and evaluate each of them with real driving data; therefore, we assembled a simulation environment to provide guidance at an early stage. The open-source and freely available software (isetcam, iset3d, and isetauto) uses ray tracing to compute quantitatively how scene radiance propagates through a multi-element lens to form the sensor irradiance. The software then transforms the irradiance into the sensor pixel responses, accounting for a large number of sensor parameters. This enables the user to apply different types of image processing pipelines to generate images that are used to train and test convolutional networks used in autonomous driving. We use the simulation environment to assess performance for different cameras and networks. Introduction The market for image sensors in autonomous vehicles can be divided into two segments. Some image sensor data is used as images to the passengers, such as rendering views from behind the car as the driver backs up. Other image sensor data is used by computational algorithms that guide the vehicle; the output from these sensors is never rendered for the human eye. It is reasonable to expect that the optical design, sensor parameters, and image processing pipeline for these two systems will differ. Mobile imaging applications for consumer photography dominate the market, driving the industry towards sensors with very small pixels (1 micron), a large number of pixels, a Bayer color filter array, and an infrared cutoff filter. There is a nascent market for image sensors for autonomous vehicle decision-system applications, and the most desirable features for such applications are not yet settled. The current offerings include sensors with larger pixels, a color filter array that comprises one quarter red filters and three quarters clear filters, and no infrared cutoff filter (e.g. ON Semiconductor; Omnivision). The requirements for optical properties, such as depth of field effects, may also differ between consumer photography and autonomous vehicles. Consumer photography values narrow depth of field images (bokeh), while autonomous driving value large depth of field to support Lens
Statistical Validation for Clinical Measures: Repeatability and Agreement of Kinect™-Based Software

Background The rehabilitation process is a fundamental stage for recovery of people's capabilities. However, the evaluation of the process is performed by physiatrists and medical doctors, mostly based on their observations, that is, a subjective appreciation of the patient's evolution. This paper proposes a tracking platform of the movement made by an individual's upper limb using Kinect sensor(s) to be applied for the patient during the rehabilitation process. The main contribution is the development of quantifying software and the statistical validation of its performance, repeatability, and clinical use in the rehabilitation process. Methods The software determines joint angles and upper limb trajectories for the construction of a specific rehabilitation protocol and quantifies the treatment evolution. In turn, the information is presented via a graphical interface that allows the recording, storage, and report of the patient's data. For clinical purposes, the software information is statistically validated with three different methodologies, comparing the measures with a goniometer in terms of agreement and repeatability. Results The agreement of joint angles measured with the proposed software and goniometer is evaluated with Bland-Altman plots; all measurements fell well within the limits of agreement, meaning interchangeability of both techniques. Additionally, the results of Bland-Altman analysis of repeatability show 95% confidence. Finally, the physiotherapists' qualitative assessment shows encouraging results for the clinical use. Conclusion The main conclusion is that the software is capable of offering a clinical history of the patient and is useful for quantification of the rehabilitation success. The simplicity, low cost, and visualization possibilities enhance the use of the software Kinect for rehabilitation and other applications, and the expert's opinion endorses the choice of our approach for clinical practice. Comparison of the new measurement technique with established goniometric methods determines that the proposed software agrees sufficiently to be used interchangeably.
Sex differences in catechol contents in the olfactory bulb of control and unilaterally deprived rats

The dopaminergic system plays important roles in the modulation of olfactory transmission. The present study examines the distribution of dopaminergic cells and the content of dopamine (DA) and its metabolites in control and deprived olfactory bulbs (OB), focusing on the differences between sexes. The content of DA and of its metabolites, dihydroxyphenylacetic acid (DOPAC) and homovanillic acid (HVA), were measured by HPLC. The morphology and distribution of dopaminergic neurons were studied using tyrosine hydroxylase (TH) immunohistochemistry. Cells were typified with TH–parvalbumin, TH–cholecystokinin or TH–neurocalcin double‐immunofluorescence assays. Biochemical analyses revealed sex differences in the content of DA and of its metabolites. In normal conditions, the OBs of male rats had higher concentrations of DA, DOPAC and HVA than the OBs of females. The immunohistochemical data pointed to sex differences in the number of TH‐immunopositive cells (higher in male than in female rats). Colocalization analyses revealed that dopaminergic cells constitute a different cell subpopulation from those labelled after parvalbumin, cholecystokinin or neurocalcin immunostaining. Unilateral olfactory deprivation caused dramatic alterations in the dopaminergic system. The DA content and the density of dopaminergic cells decreased, the contents of DA and DOPAC as well as TH immunoreactivity were similar in deprived males and females and, finally, the metabolite/neurotransmitter ratio increased. Our results show that the dopaminergic modulation of olfactory transmission seems to differ between males and females and that it is regulated by peripheral olfactory activity. A possible role of the dopaminergic system in the sexually different olfactory sensitivity, discrimination and memory is discussed.
You Will Attain My Goal: The Structure of Parental Goals for Children Based on an Adapted Version of the Aspirations Index

This paper deals with parental goals for children, that is, goals parents want their children to attain by the time they reach adulthood. Presenting an adaption of the German Aspirations Index to assess parental goals for children (AI-PG), factorial structure and psychometric properties in a nonclinical sample of German parents of children between 10 and 15 years of age were investigated. Parents (NT1 = 948; NT2 = 670) rated the importance of different parental goals for children. The AI-PG structure was first examined in a subsample of mothers using confirmatory factor analyses. Main results provided support for the hypothesized hierarchical factorial structure. Accordingly, the given 21 items can be assigned to seven first-order factors that reflect goal-contents, and two second-order factors that reflect goals’ motivational orientation as either intrinsic or extrinsic. The questionnaire shows good psychometric properties (i.e., homogeneity, model-based reliability, and stability). Multiple-group analyses confirmed measurement invariance across informants (mothers and fathers), gender of target children (daughters and sons), and measurement time points. Small but significant relationships of the scales with need-threatened environment, parenting practices, and child internalizing behavior problems added to the scale’s construct validity. Results are discussed in terms of the fruitfulness of a concept of parental goals for children within self-determination theory.
A Survey on Consensus Mechanisms and Mining Management in Blockchain Networks

The past decade has witnessed the rapid evolution in blockchain technologies, which has attracted tremendous interests from both the research communities and the industry. The blockchain network was originated in the Internet finical sector as a decentralized, immutable ledger system for transactional data ordering. Nowadays, it is envisioned as a powerful backbone/framework for decentralized data processing and data-driven self-organization in flat, open-access networks. In particular, the plausible characteristics of decentralization, immutability and self-organization are primarily owing to the unique decentralized consensus mechanisms introduced by blockchain networks. This survey is motivated by the lack of a comprehensive literature review on the development of decentralized consensus mechanisms in blockchain networks. In this survey, we provide a systematic vision of the organization of blockchain networks. By emphasizing the unique characteristics of incentivized consensus in blockchain networks, our in-depth review of the state-of-the-art consensus protocols is focused on both the perspective of distributed consensus system design and the perspective of incentive mechanism design. From a game-theoretic point of view, we also provide a thorough review on the strategy adoption for self-organization by the individual nodes in the blockchain backbone networks. Consequently, we provide a comprehensive survey on the emerging applications of the blockchain networks in a wide range of areas. We highlight our special interest in how the consensus mechanisms impact these applications. Finally, we discuss several open issues in the protocol design for blockchain consensus and the related potential research directions.