Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of H2 content on reliability of ultrathin in-situ steam generated (ISSG) SiO2

This letter demonstrates the effect of H/sub 2/ percentage during oxidation on the quality of the in-situ steam generated (ISSG) oxide. Our results indicate the reliability of ISSG oxide is considerably improved as the H/sub 2/ percentage increases, from the viewpoint of stress-induced leakage current (SILC) and charge-to-breakdown (Q/sub BD/). Such enhanced reliability of the ISSG oxide may be explained by the reduction of defects in the SiO/sub 2/ network within the structural transition layer, such as Si dangling bonds, weak Si-Si and strained Si-O bonds, by highly reactive oxygen atoms which are hypothesized to be dissociated from the molecular oxygen due to the presence of hydrogen.
Widespread Contamination of Arabidopsis Embryo and Endosperm Transcriptome Data Sets[OPEN]

A major goal of global gene expression profiling in plant seeds has been to investigate the parental contributions to the transcriptomes of early embryos and endosperm. However, consistency between independent studies has been poor, leading to considerable debate. We have developed a statistical tool that reveals the presence of substantial RNA contamination from maternal tissues in nearly all published Arabidopsis thaliana endosperm and early embryo transcriptomes generated in these studies. We demonstrate that maternal RNA contamination explains the poor reproducibility of these transcriptomic data sets. Furthermore, we found that RNA contamination from maternal tissues has been repeatedly misinterpreted as epigenetic phenomena, which has resulted in inaccurate conclusions regarding the parental contributions to both the endosperm and early embryo transcriptomes. After accounting for maternal RNA contamination, no published genome-wide data set supports the concept of delayed paternal genome activation in plant embryos. Moreover, our analysis suggests that maternal and paternal genomic imprinting are equally rare events in Arabidopsis endosperm. Our publicly available software (https://github.com/Gregor-Mendel-Institute/tissue-enrichment-test) can help the community assess the level of contamination in transcriptome data sets generated from both seed and non-seed tissues.
Effect of mucosal healing (Mayo 0) on clinical relapse in patients with ulcerative colitis in clinical remission

Abstract Objective: The aim of this study was to identify the effect of mucosal healing (MH) on clinical relapse in patients with ulcerative colitis (UC) who are in clinical remission, with special reference to Mayo endoscopic subscore 0. Methods: Between November 2005 and December 2013, medical records from a total of 215 patients with UC who underwent colonoscopic examination at the time of clinical remission were retrospectively reviewed. Endoscopic MH was defined as a ‘0 point’ of Mayo endoscopic subscore (Mayo 0). Patients were categorized into two groups according to Mayo endoscopic subscore and then analyzed. Results: The baseline characteristics of both groups (MH vs. no-MH), including age at diagnosis, gender, and initial clinical and colonoscopic findings, were not significantly different. The median follow-up duration was 80 (12–118) months. Factors predictive of longer clinical remission duration were age ≥30 years at diagnosis (≥30 years vs. <30 years; hazard ratio [HR] 3.16, 95% CI 1.88–5.30, p < 0.001), shorter interval between diagnosis and clinical remission (<15 months vs. ≥15 months; HR 1.93, 95% CI 1.13–3.28, p = 0.015), and presence of MH at clinical remission (HR 1.95, 95% CI 1.15–3.32, p = 0.014). With a Cox regression model, patients with MH at clinical remission were more likely to have longer duration of clinical remission than patients without MH. Conclusion: The achievement of MH, Mayo 0 in particular, in patients with UC who are in clinical remission is important in predicting a favorable disease course prognosis.
The Reliability and Variability of SN and PFH Reference Planes in Cephalometric Diagnosis and Therapeutic Planning of Dentomaxillofacial Malformations

&NA; Various interpretations of clinical and cephalometric data lead to different diagnostic and surgical planning in the study of dentoskeletal malformations. Many authors have identified this discrepancy as an incorrect positioning between the skeletal structures and the Frankfurt plane (PFH)—a plane that is used routinely for the sagittal measurement of the upper and lower jaw. The aim of this study was to establish a control method to verify the correct positioning of the sella‐nasion point plane (SN) and the PFH. To find a reference plane, the authors concentrated their attention on measuring the intersecting angles between these two planes and the vertical posterior maxillary (PM) plane. Fifty patients (33 women and 17 men), all of whom were aesthetically and structurally harmonious class I dentoskeletal types, were analyzed using this method. Student's t‐test, the Kolmogorov‐Smirnov test, and Fisher's F‐test were used for statistical analysis. The results were compared with those proposed by the University of Michigan. To achieve a correct diagnosis and to obtain good functional and cosmetic results in the treatment of these kinds of malformations, it is necessary to make use of the PM vertical plane during cephalometric analysis.
CNV Analysis of Host Responses to Porcine Reproductive and Respiratory Syndrome Virus Infection

Porcine reproductive and respiratory syndrome (PRRS) is a devastating disease with a significant impact on the swine industry causing major economic losses. The objective of this study is to examine copy number variations (CNVs) associated with the group-specific host responses to PRRS virus infection. We performed a genome-wide CNV analysis using 660 animals genotyped with on the porcine SNP60 BeadChip and discovered 7097 CNVs and 271 CNV regions (CNVRs). For this study, we used two established traits related to host response to the virus, i.e. viral load (VL, area under the curve of log-transformed serum viremia from 0 to 21 days post infection) and weight gain (WG42 from 0 to 42 days post infection). To investigate the effects of CNVs on differential host responses to PRRS, we compared groups of animals with extreme high and low estimated breeding values (EBVs) for both traits using a case-control study design. For VL, we identified 163 CNVRs (84 Mb) from the high group and 159 CNVRs (76 Mb) from the low group. For WG42, we detected 126 (68 Mb) and 156 (79 Mb) CNVRs for high and low groups, respectively. Based on gene annotation within group-specific CNVRs, we performed network analyses and observed some potential candidate genes. Our results revealed these group-specific genes are involved in regulating innate and acquired immune response pathways. Specifically, molecules like interferons and interleukins are closely related to host responses to PRRS virus infection.
Design and implementation of secure chaotic communication systems

Chaotic systems have properties such as ergodicity, sensitivity to initial conditions/parameter mismatches, mixing property, deterministic dynamics, structure complexity, to mention a few, that map nicely with cryptographic requirements such as confusion, diffusion, deterministic pseudorandomness, algorithm complexity. Furthermore, the possibility of chaotic synchronization, where the master system (transmitter) is driving the slave system (receiver) by its output signal, made it probable for the possible utilization of chaotic systems to implement security in the communication systems. Many methods like chaotic masking, chaotic modulation, inclusion, chaotic shift keying (CSK) had been proposed however, many attack methods later showed them to be insecure. Different modifications of these methods also exist in the literature to improve the security, but almost all suffer from the same drawback. Therefore, the implementation of chaotic systems in security still remains a challenge. In this work, different possibilities on how it might be possible to improve the security of the existing methods are explored. The main problem with the existing methods is that the message imprint could be found in the dynamics of the transmitted signal, therefore by some signal processing or pattern classification techniques, etc, allow the exposition of the hidden message. Therefore, the challenge is to remove any pattern or change in dynamics that the message might bring in the transmitted signal.
Evaluating the Exploitability of Implicit Interactions in Distributed Systems

Implicit interactions refer to those interactions among the components of a system that may be unintended and/or unforeseen by the system designers. As such, they represent cybersecurity vulnerabilities that can be exploited to mount cyber-attacks causing serious and destabilizing system effects. In this paper, we study implicit interactions in distributed systems specified using the algebraic modeling framework known as Communicating Concurrent Kleene Algebra (C$^2$KA). To identify and defend against a range of possible attack scenarios, we develop a new measure of exploitability for implicit interactions to aid in evaluating the threat posed by the existence of such vulnerabilities in system designs for launching cyber-attacks. The presented approach is based on the modeling and analysis of the influence and response of the system agents and their C$^2$KA specifications. We also demonstrate the applicability of the proposed approach using a prototype tool that supports the automated analysis. The rigorous, practical techniques presented here enable cybersecurity vulnerabilities in the designs of distributed systems to be more easily identified, assessed, and then mitigated, offering significant improvements to overall system resilience, dependability, and security.
Fusion of the Transposase with a Classical Nuclear Localization Signal to Increase the Transposition Efficiency of Ac Transposon

A new strategy was applied to improve the transposition efficiency of the maize transposon Activator (Ac) in heterologous plants. The Ac transposase was fused with a classical nuclear localization signal (NLS) of SV40 to promote the transport of transposase into a nucleus. Base on this, two NLS-TPase constructs were yielded, one containing the full length transposase gene (termed as SV40TPase), the other containing the truncated transposase gene (lacking its first NLS-like signal, termed as SV39TPase). These two NIS-TPase genes were expressed in transgenic tobacco plants under the control of PR-1a promoter. Excision of non-autonomous transposable element (Ds) from luciferase (LUC) reporter gene constructs was employed to analyze the induction of Ac transposase containing NLS. Applying the LUC assay and PCR analysis, these new NIS-TPase sources triggered higher Ds excision efficiencies then the native transposase. Furthermore, the SV40TPase showed more ability then the SV39TPase to trigger the Ds element. The usage of this new inducible transposon for plant functional genomics is discussed.
Single-Injection Paravertebral Block Before General Anesthesia Enhances Analgesia After Breast Cancer Surgery With and Without Associated Lymph Node Biopsy

Paravertebral block (PVB) seems to decrease postoperative pain and postoperative nausea and vomiting (PONV) after breast surgery, but the studies have not been placebo controlled. We studied 60 patients scheduled for breast cancer surgery randomly given single-injection PVB at T3 with bupivacaine 5 mg/mL (1.5 mg/kg) or saline before general anesthesia. The patient and attending investigators were blinded; the PVB or the sham block was performed behind a curtain by an anesthesiologist not involved in the study. The patients given PVB with bupivacaine needed 40% less IV opioid medication (primary outcome variable) in the postanesthesia care unit, had a longer latency to the first opioid dose, and had less pain at rest after 24 h than the control patients (P < 0.01). They also had less PONV in the postanesthesia care unit (P < 0.05), were less sedated until 90 min (P < 0.05), and performed better in the digit symbol substitution test at 90 min and the ocular coordination test 60–120 min after surgery (P < 0.05). The average peak bupivacaine plasma concentration was 750 ng/mL. One patient had bilateral convulsions immediately after bupivacaine injection. We conclude that PVB before general anesthesia for breast cancer surgery reduced postoperative pain, opioid consumption, and occurrence of PONV and improved recovery from anesthesia.
A general photo-electro-thermo-temporal theory for light-emitting diode (LED) systems

This paper presents a dynamic photo-electro-thermal theory for LED systems. In addition to photometric, electrical and thermal aspects, this theory incorporates the time domain into the generalized equations. A dynamic model for a general LED system is developed for system analysis. This theory highlights the fact that the luminous output of an LED system will decrease with time from the initial operation to the steady-state due to the rising temperature of the heatsink and the LED devices. The essential thermal time constants involved in the LED systems are explained. The time factor is critical in understanding how much the luminous output will decrease with time and is essential to the optimal designs of LED systems that are operated continuously (e.g general lighting) or momentarily (e.g. traffic lights). Experiments on several LED systems at different time frames have been conducted and the practical measurements confirm the validity of this theory.
Exploration by Maximizing Rényi Entropy for Zero-Shot Meta RL

Exploring the transition dynamics is essential to the success of reinforcement learning (RL) algorithms. To face the challenges of exploration, we consider a zero-shot meta RL framework that completely separates exploration from exploitation and is suitable for the meta RL setting where there are many reward functions of interest. In the exploration phase, the agent learns an exploratory policy by interacting with a reward-free environment and collects a dataset of transitions by executing the policy. In the planning phase, the agent computes a good policy for any reward function based on the dataset without further interacting with the environment. This framework brings new challenges for exploration algorithms. In the exploration phase, we propose to maximize the Renyi entropy over the state-action space and justify this objective theoretically. We further deduce a policy gradient formulation for this objective and design a practical exploration algorithm that can deal with complex environments based on PPO. In the planning phase, we use a batch RL algorithm, batch constrained deep Q-learning (BCQ), to solve for good policies given arbitrary reward functions. Empirically, we show that our exploration algorithm is effective and sample efficient, and results in superior policies for arbitrary reward functions in the planning phase.
Multiple isotope effects on enzyme-catalyzed reactions.

PERSPECTIVES AND SUMMARY 377 THEORY . 378 Definitions 378 Isotope Effects and Enzyme Kinetics 379 Quantitative Relationships 380 The Multiple Isotope Effect Method 381 Numerical Solutions 382 The Rule of the Geometric Mean 382 ISOTOPE EFFECTS IN IRREVERSIBLE REACTIONS . 383 Single-Step Reactions 383 Stepwise Mechanisms with Both Isotope-Sensitive Steps the Same 386 Stepwise Mechanisms with Deuterium-Sensitive Step First . 387 Stepwise Mechanisms with the l3C-Sensitive Step First 391 Stepwise Mechanisms with Two Isotope-Sensitive Steps 391 REVERSIBLE REACTIONS . 392 APPLICATIONS USING SOL VENT ISOTOPE EFFECTS . 394 Theory 395 CONCLUSIONS AND PROSPECTS . 398 Precision and Uncertainty 399 Reversibility " . 399 Theoretical Limitations 400
Mental health in a Canadian Old Order Mennonite community

This paper presents the results of a 2010 survey exploring the determinants of rural mental health in two farming groups in Waterloo, Ontario, Canada: Old Order Mennonites (OOMs) and non-OOM farmers. Comparing these two groups reduces the likely impact of many contextual features impacting both groups, such as local economic conditions. We explore a comprehensive list of health determinants to assess their relative importance and thus enable policy action to focus on those having the greatest impact. The mental component summary (MCS) of the short- form health survey (SF-12) was used to measure mental health. We compare mental health in the two populations and use multiple regression to determine the relative importance of the determinants in explaining mental health. The results show that OOMs experience better mental health than non-OOMs, in part due to the strong mental health of OOM women. Coping, stress and social interaction shape mental health in both groups, reflecting the broader determinants literature and suggesting these are important across many populations with different life circumstances. Other determinants are important for one group but not the other, underscoring the diversity of rural populations. For example, different social capital measures shape mental health in the two groups, and sense-of-place is associated with mental health in only one group (OOMs). The results are discussed in terms of their implications for future health determinants research and policy action to address rural mental health.
Scalable Partial Explainability in Neural Networks via Flexible Activation Functions

Achieving transparency in black-box deep learning algorithms is still an open challenge. High dimensional features and decisions given by deep neural networks (NN) require new algorithms and methods to expose its mechanisms. Current state-of-the-art NN interpretation methods (e.g. Saliency maps, DeepLIFT, LIME, etc.) focus more on the direct relationship between NN outputs and inputs rather than the NN structure and operations itself. In current deep NN operations, there is uncertainty over the exact role played by neurons with fixed activation functions. In this paper, we achieve partially explainable learning model by symbolically explaining the role of activation functions (AF) under a scalable topology. This is carried out by modeling the AFs as adaptive Gaussian Processes (GP), which sit within a novel scalable NN topology, based on the Kolmogorov-Arnold Superposition Theorem (KST). In this scalable NN architecture, the AFs are generated by GP interpolation between control points and can thus be tuned during the back-propagation procedure via gradient descent. The control points act as the core enabler to both local and global adjustability of AF, where the GP interpolation constrains the intrinsic autocorrelation to avoid over-fitting. We show that there exists a trade-off between the NN's expressive power and interpretation complexity, under linear KST topology scaling. To demonstrate this, we perform a case study on a binary classification dataset of banknote authentication. By quantitatively and qualitatively investigating the mapping relationship between inputs and output, our explainable model can provide interpretation over each of the one-dimensional attributes. These early results suggest that our model has the potential to act as the final interpretation layer for deep neural networks.
Segmentation of Retinal Blood Vessel by Merging Shape, Region and Edge Information

Automatic extraction of retinal blood vessels is significant for clinical application. In this paper, we first us Gabor filters to enhance blood vessels by exploiting their shape feature. It is then embedded in an improved local binary fitting model as a region force. Simultaneously we broaden the definition of the distance function by adding a gray-level similarity constraint. Finally, an edge based energy term using the distribution features of gradient vector flow is proposed, which tends to smoothen the vessel boundaries with the potential regularity of gradient diffusion. Experimental results show that the proposed method can extract the main retinal blood vessels and small blood vessels with high accuracy.
The ongoing story: the mitochondria pyruvate carrier 1 in plant stress response in Arabidopsis

Abscisic acid (ABA) is an important regulator of guard cell ion channels and stomatal movements in response to drought stress. Pyruvate is the final product of glycolysis in the cytosol, and could be transported by mitochondrial pyruvate carriers (MPCs) into mitochondrion for consequent cellular substance and energy metabolism. We recently characterized the first putative mitochondrial pyruvate carrier, NRGA1, in planta, and found that this small protein is involved in the negative regulation of drought and ABA induced guard cell signaling in Arabidopsis thaliana. The findings revealed a probable link between mitochondrial pyruvate transport and guard cell signaling. It has also been shown that NRGA1 protein product was directed to the mitochondria, and co-expression of MPC1 and NRGA1 functionally complement the absence of a native pyruvate transport protein in yeast. Here, we further demonstrated that MPC1 showed similar sub-cellular localization pattern to NRGA1. Quantitative RT-PCR analysis showed that the transcription of both NRGA1 and MPC1 were induced by pyruvate or ABA, and pyruvate strengthened the ABA induced transcription of these 2 genes. The similarity in subcellular localization and gene expression to ABA strongly suggests that MPC1 may associate with NRGA1 for mitochondrial pyruvate transport and is involved in ABA mediated stomatal movements in Arabidopsis.
Prehistoric dangers and contemporary prejudices

We review the logical principles that guide the application of evolutionary ideas to psychological problems, and show how these principles can be used to derive novel, testable hypotheses about contemporary prejudice processes. We summarise two recent lines of research employing this approach. One line of research examines prejudices resulting from perceived vulnerability to physical injury. The other examines prejudices resulting from perceived vulnerability to disease. Results from both lines of research support novel psychological hypotheses identifying variables--pertaining to both personality and to local context--that trigger specific prejudices against specific categories of people. We conclude by discussing more broadly some of the useful conceptual and practical implications of this evolutionary approach to prejudice.
PRAICORDIAL BALLISTOCARDIOGRAPHY

Palpation of the heart beat has long been recognized to yield important information in heart disease. Many studies of graphic recording of the apex beat have been made (Marey, 1878; Mackenzie, 1902; Volhard, 1904; Weitz, 1917; and Dressler, 1937). More recently electronic methods have been used to record this movement (Johnston and Overy, 1951; Luisada and Magri, 1952). Recording of movement of the chest wall relative to a fixed point instead of to the surrounding chest wall was carried out by Eddleman et al. (1953), who used a metal bellows applied to the chest wall as a pick-up device. In this investigation pulsation of the chest wall has been recorded by a new method, using an accelerometer. The accelerometer was kindly presented by Dr. Elliott. By means of this instrument it has been possible to record and study precordial acceleration ballistocardiograms in health and disease.