Miracle-dz/UniFAR-FTUs huggingface dataset:
Untargeted antifungal therapy in adult patients with complicated intra-abdominal infection: protocol for a systematic review with meta-analysis

Introduction Intra-abdominal infections are the second most frequent cause of sepsis. In a recent cohort, fungal specimens were found in 51.9% of all patients with sepsis and peritonitis. Current systematic reviews comparing untargeted antifungal treatment with placebo or no treatment in patients who are critically ill have provided conflicting results, and clinical equipoise exists. Accordingly, we aim to assess patient-important benefits and harms of untargeted antifungal therapy versus placebo or no treatment in adult patients with complicated intra-abdominal infection. Methods and analysis We will conduct a systematic review with meta-analysis and trial sequential analysis of randomised clinical trials assessing any untargeted antifungal therapy compared with placebo or no treatment in adult patients with complicated intra-abdominal infections. The primary outcome is all-cause mortality, and secondary outcomes include adverse events, duration of mechanical ventilation and inotropic support, need for renal replacement therapy, emergence of antibiotic resistance and intensive care unit and hospital length-of-stay. Conventional meta-analysis, including sensitivity and subgroup analyses, and assessment of the risk of systematic (bias) and random errors will be conducted. The review will be prepared according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement, the Cochrane methodology and the Grading of Recommendations, Assessment, Development and Evaluation. Ethics and dissemination Ethical approval is not required as this systematic review only includes previously published data. We aim to publish the review in an international peer-reviewed journal. Trial registration number International Prospective Register of Systematic Reviews registration number: CRD42016053508.
A Formal Framework For Probabilistic Unclean Databases

Most theoretical frameworks that focus on data errors and inconsistencies follow logic-based reasoning. Yet, practical data cleaning tools need to incorporate statistical reasoning to be effective in real-world data cleaning tasks. Motivated by these empirical successes, we propose a formal framework for unclean databases, where two types of statistical knowledge are incorporated: The first represents a belief of how intended (clean) data is generated, and the second represents a belief of how noise is introduced in the actual observed database instance. To capture this noisy channel model, we introduce the concept of a Probabilistic Unclean Database (PUD), a triple that consists of a probabilistic database that we call the intention, a probabilistic data transformator that we call the realization and captures how noise is introduced, and a dirty observed database instance that we call the observation. We define three computational problems in the PUD framework: cleaning (infer the most probable clean instance given a PUD), probabilistic query answering (compute the probability of an answer tuple over the unclean observed instance), and learning (estimate the most likely intention and realization models of a PUD given a collection of training data). We illustrate the PUD framework on concrete representations of the intention and realization, show that they generalize traditional concepts of repairs such as cardinality and value repairs, draw connection to consistent query answering, and prove tractability results. We further show that parameters can be learned in practical instantiations, and in fact, prove that under certain conditions we can learn a PUD directly from a single dirty database instance without any need for clean examples.
Intelligent Power Control for Spectrum Sharing in Cognitive Radios: A Deep Reinforcement Learning Approach

We consider the problem of spectrum sharing in a cognitive radio system consisting of a primary user and a secondary user. The primary user and the secondary user work in a non-cooperative manner. Specifically, the primary user is assumed to update its transmitted power based on a pre-defined power control policy. The secondary user does not have any knowledge about the primary user’s transmit power, or its power control strategy. The objective of this paper is to develop a learning-based power control method for the secondary user in order to share the common spectrum with the primary user. To assist the secondary user, a set of sensor nodes are spatially deployed to collect the received signal strength information at different locations in the wireless environment. We develop a deep reinforcement learning-based method, which the secondary user can use to intelligently adjust its transmit power such that after a few rounds of interaction with the primary user, both users can transmit their own data successfully with required qualities of service. Our experimental results show that the secondary user can interact with the primary user efficiently to reach a goal state (defined as a state in which both users can successfully transmit their data) from any initial states within a few number of steps.
Non-iterative RGB-D-inertial Odometry

This paper presents a non-iterative solution to RGB-D-inertial odometry system. Traditional odometry methods resort to iterative algorithms which are usually computationally expensive or require well-designed initialization. To overcome this problem, this paper proposes to combine a non-iterative front-end (odometry) with an iterative back-end (loop closure) for the RGB-D-inertial SLAM system. The main contribution lies in the novel non-iterative front-end, which leverages on inertial fusion and kernel cross-correlators (KCC) to match point clouds in frequency domain. Dominated by the fast Fourier transform (FFT), our method is only of complexity $\mathcal{O}(n\log{n})$, where $n$ is the number of points. Map fusion is conducted by element-wise operations, so that both time and space complexity are further reduced. Extensive experiments show that, due to the lightweight of the proposed front-end, the framework is able to run at a much faster speed yet still with comparable accuracy with the state-of-the-arts.
Modulating IgG effector function by Fc glycan engineering

Significance The N-glycan composition of the constant (Fc) domain of IgG can modulate antibody effector functions by affecting the ability of the Fc to bind various Fc receptors (FcγRs). Most therapeutic IgG antibodies carry heterogeneous N-glycans, which might not be optimal for their therapeutic purpose. To understand the contribution of each N-glycan component on antibody effector function, we generated homogeneous IgG1 glycoforms using a chemoenzymatic approach and performed side-by-side in vitro binding, antibody-dependent cell-mediated cytotoxicity (ADCC), and in vivo IgG-mediated cell depletion assays. Our results confirm the dominant positive effect of removing the core fucose on FcγRIIIA binding and ADCC. Our study further reveals that sialylation adversely impacts ADCC in the context of core fucosylation but not in its absence. IgG antibodies contain a conserved N-glycosylation site on the Fc domain to which a complex, biantennary glycan is attached. The fine structures of this glycan modulate antibody effector functions by affecting the binding affinity of the Fc to diverse Fc receptor family members. For example, core fucosylation significantly decreases antibody-dependent cellular cytotoxicity (ADCC), whereas terminal α2,6-sialylation plays a critical role in the anti-inflammatory activity of human i.v. immunoglobulin therapy. The effect of specific combinations of sugars in the glycan on ADCC remains to be further addressed, however. Therefore, we synthesized structurally well-defined homogeneous glycoforms of antibodies with different combinations of fucosylation and sialylation and performed side-by-side in vitro FcγR-binding analyses, cell-based ADCC assays, and in vivo IgG-mediated cellular depletion studies. We found that core fucosylation exerted a significant adverse effect on FcγRIIIA binding, in vitro ADCC, and in vivo IgG-mediated cellular depletion, regardless of sialylation status. In contrast, the effect of sialylation on ADCC was dependent on the status of core fucosylation. Sialylation in the context of core fucosylation significantly decreased ADCC in a cell-based assay and suppressed antibody-mediated cell killing in vivo. In contrast, in the absence of fucosylation, sialylation did not adversely impact ADCC.
Methods, quality control and specimen management in an international multicentre investigation of type 1 diabetes: TEDDY

The vast array and quantity of longitudinal samples collected in The Environmental Determinants of Diabetes in the Young study present a series of challenges in terms of quality control procedures and data validity. To address this, pilot studies have been conducted to standardize and enhance both biospecimen collection and sample obtainment in terms of autoantibody collection, stool sample preservation, RNA, biomarker stability, metabolic biomarkers and T‐cell viability.
Enhanced photocatalytic property of hybrid graphitic C3N4 and graphitic ZnO nanocomposite: the effects of interface and doping

Using first-principles calculations, we present a potential new way to improve the photocatalytic efficiency of the g-C3N4 sheet by coupling with the g-ZnO sheet to form heterojunction nanostructure followed by the addition of N atom at an atomic level. The result indicates the g-C3N4/g-ZnO heterojunction is a staggered band alignment (type II) structure and a polarized field is generated by the electrons transfer across the interface simultaneously, which facilitate the separation of e−–h+ pairs and promote the photocatalytic activity. Furthermore, a great difference in energy levels between redox potentials and band edges of the C3N4/g-ZnO nanocomposite ensures that the water splitting/CO2 reduction reaction is energetically favored. In addition, through the incorporation of nitrogen dopant, the g-C3N4/N-g-ZnO nanocomposite displays desirable properties. The N-derived doping peak causes a decrease of the band gap width of the g-C3N4/g-ZnO nanocomposite, resulting in the enhanced optical absorption from UV into visible light. This theoretical predictions provide insightful outlooks in understanding the effects of interface and doping on the enhanced photocatalytic property of the g-C3N4/g-ZnO nanocomposites, which will assist in engineering highly efficient g-C3N4-based photocatalysts.
Growth and Risk for Islet Autoimmunity and Progression to Type 1 Diabetes in Early Childhood: The Environmental Determinants of Diabetes in the Young Study

Increased growth in early childhood has been suggested to increase the risk of type 1 diabetes. This study explored the relationship between weight or height and development of persistent islet autoimmunity and progression to type 1 diabetes during the first 4 years of life in 7,468 children at genetic risk for type 1 diabetes followed in Finland, Germany, Sweden, and the U.S. Growth data collected every third month were used to estimate individual growth curves by mixed models. Cox proportional hazards models were used to evaluate body size and risk of islet autoimmunity and type 1 diabetes. In the overall cohort, development of islet autoimmunity (n = 575) was related to weight z scores at 12 months (hazard ratio [HR] 1.16 per 1.14 kg in males or per 1.02 kg in females, 95% CI 1.06–1.27, P < 0.001, false discovery rate [FDR] = 0.008) but not at 24 or 36 months. A similar relationship was seen between weight z scores and development of multiple islet autoantibodies (1 year: HR 1.21, 95% CI 1.08–1.35, P = 0.001, FDR = 0.008; 2 years: HR 1.18, 95% CI 1.06–1.32, P = 0.004, FDR = 0.02). No association was found between weight or height and type 1 diabetes (n = 169). In conclusion, greater weight in the first years of life was associated with an increased risk of islet autoimmunity.
Youth health outcomes from the Connect-to-Protect coalitions to prevent adolescent HIV infections

ABSTRACT We assessed the relationships among HIV-related social and behavioral outcomes resulting from an adolescent-focused HIV structural change initiative in eight urban sites operating Connect-to-Protect coalitions. Over a 4-year period, annual cross-sectional panels of adolescents (N = 2248) completed an audio-computer-assisted interview, providing data on satisfaction with their communities as adolescent-supportive environments, internalized HIV stigma, lifetime HIV-testing, lifetime sexual risk-taking and number of sexual partners in the prior year. We used structural equation modeling to estimate hypothesized links between time since coalition mobilization to our social and behavioral outcomes. Over the 4 years, adolescents perceived their communities to become more supportive (p < .05). Positive perceptions of community support were associated with lower lifetime HIV sexual risk (p < .05). The effect of time on risk behavior was mediated by perceptions of community support. Stigma was unchanged over time. Stigma had damaging effects on risk behavior, effects which were also mediated by perceptions of community support. Special efforts are needed to address the deleterious effect of HIV stigma on high-risk urban adolescents.
Effects of heat treatment on some properties of MDF (medium-density fiberboard)

Abstract This work investigated some mechanical, physical and free formaldehyde emission properties of heat-treated MDF. For this purpose, MDF panels were subjected to varying heat treatment temperatures (155°C, 165°C and 175°C), durations (2.5 h., 3.5 h. and 4.5 h.) and waiting times after hot pressing (30 min., 120 min. and 600 min). Thickness swelling (TS), water absorption (WA), free formaldehyde emission (FFE), bending strength (BS), modulus of elasticity (MOE), tensile strength perpendicular to fibers (TSPF) for treated and untreated samples were tested and evaluated statistically. Consequently, after the heat treatment values of tensile strength, bending strength and modulus of elasticity were almost negatively affected relatively, but the thickness swelling and water absorption and quantities of free formaldehyde were improved positively of MDF samples.
Viewpoint-Aware Video Summarization

This paper introduces a novel variant of video summarization, namely building a summary that depends on the particular aspect of a video the viewer focuses on. We refer to this as viewpoint. To infer what the desired viewpoint may be, we assume that several other videos are available, especially groups of videos, e.g., as folders on a person's phone or laptop. The semantic similarity between videos in a group vs. the dissimilarity between groups is used to produce viewpoint-specific summaries. For considering similarity as well as avoiding redundancy, output summary should be (A) diverse, (B) representative of videos in the same group, and (C) discriminative against videos in the different groups. To satisfy these requirements (A)-(C) simultaneously, we proposed a novel video summarization method from multiple groups of videos. Inspired by Fisher's discriminant criteria, it selects summary by optimizing the combination of three terms (a) inner-summary, (b) inner-group, and (c) between-group variances defined on the feature representation of summary, which can simply represent (A)-(C). Moreover, we developed a novel dataset to investigate how well the generated summary reflects the underlying viewpoint. Quantitative and qualitative experiments conducted on the dataset demonstrate the effectiveness of proposed method.
Molecular Transport Junctions: An Introduction

This issue of MRS Bulletin on molecular transport junctions highlights the current experimental and theoretical understanding of molecular charge transport and its extension to the rapidly growing areas of molecular and carbon nanotube electronics. This introduction will outline the progress that has been made in understanding the mechanisms of molecular junction transport and the challenges and future directions in exploring charge transport on the molecular scale. In spite of the substantial challenges, molecular charge transport is of great interest for its intrinsic importance to potential single-molecule electronic, thin-film electronic, and optoelectronic applications.
Markedly Deranged Injury Site Metabolism and Impaired Functional Recovery in Acute Spinal Cord Injury Patients With Fever

Objectives: To characterize the effect of fever after acute, traumatic spinal cord injury on injury site metabolism and patient outcome. Design: Longitudinal cohort study. In 44 patients (London cohort), we determined the effect of fever on intrathecal injury site metabolism by analyzing 1,767 hours of intraspinal pressure and 759 hours of microdialysis data. We also determined the effect of fever burden, computed for the first 2 weeks in hospital, on neurologic outcome. A distinct cohort of 33 patients (Berlin cohort) was used to independently validate the effect of fever burden on outcome. Setting: ICUs in London and Berlin. Patients: Seventy-seven patients with acute, traumatic spinal cord injuries. Interventions: In the London patients, a pressure probe and a microdialysis catheter were placed intradurally on the surface of the injured cord for up to a week. Measurements and Main Results: Fever (> 37.5°C) occurs frequently (37% of the time) after spinal cord injury. High-grade fever (≥ 38°C) was associated with significantly more deranged metabolite levels than normothermia (36.5–37.5°C), that is, lower tissue glucose (median 2.0 vs 3.3 mM), higher lactate (7.8 vs 5.4 mM), higher glutamate (7.8 vs 6.4 µM), and higher lactate-to-pyruvate ratio (38.9 vs 29.3). High-grade fever was particularly detrimental on injury site metabolism when the peripheral leukocyte count was high. In the London and Berlin cohorts, high fever burden correlated with less neurologic improvement. Conclusions: Early after spinal cord injury, fever is associated with more deranged injury site metabolism than normothermia and worse prognosis.
The status of cryptococcosis in Latin America

Cryptococcosis is a life-threatening fungal infection caused by the encapsulated yeasts Cryptococcus neoformans and C. gattii, acquired from the environment. In Latin America, as occurring worldwide, C. neoformans causes more than 90% of the cases of cryptococcosis, affecting predominantly patients with HIV, while C. gattii generally affects otherwise healthy individuals. In this region, cryptococcal meningitis is the most common presentation, with amphotericin B and fluconazole being the antifungal drugs of choice. Avian droppings are the predominant environmental reservoir of C. neoformans, while C. gattii is associated with several arboreal species. Importantly, C. gattii has a high prevalence in Latin America and has been proposed to be the likely origin of some C. gattii populations in North America. Thus, in the recent years, significant progress has been made with the study of the basic biology and laboratory identification of cryptococcal strains, in understanding their ecology, population genetics, host-pathogen interactions, and the clinical epidemiology of this important mycosis in Latin America.
The Association Between Adverse Childhood Experience (ACE) and School Success in Elementary School Children

We explored the feasibility of using school personnel as reporters to examine the relationship between the level of adverse childhood experiences (ACEs) exposure in a nonclinical sample of public elementary schoolchildren and academic risk. We selected a random sample of 2,101 children from kindergarten through 6th grade classroom rosters at 10 elementary schools. Students were 50% male, 78% White, and 55% free and reduced meal program participants. School personnel reported their factual knowledge of 10 ACEs and academic risk in a database controlled by the schools. Data were de-identified prior to analysis. A high prevalence of ACEs exposure was reported (44%), with 13% of students experiencing 3 or more ACEs. Binary logistic regression analyses revealed a dose–response effect between the number of ACEs and risk of poor school attendance, behavioral issues, and failure to meet grade-level standards in mathematics, reading, or writing. Using elementary school personnel reports of child ACE exposure minimized family burden and potential intrusion while producing prevalence estimates consistent with those of caregiver report from the National Survey of Children’s Health. Results suggest that understanding and responding to a child’s ACE profile might be an important strategy for improving the academic trajectory of at-risk children.
Identification of Ny-Eso-1 Epitopes Presented by Human Histocompatibility Antigen (Hla)-Drb4*0101–0103 and Recognized by Cd4+T Lymphocytes of Patients with Ny-Eso-1–Expressing Melanoma

NY-ESO-1 is a member of the cancer-testis family of tumor antigens that elicits strong humoral and cellular immune responses in patients with NY-ESO-1–expressing cancers. Since CD4+ T lymphocytes play a critical role in generating antigen-specific cytotoxic T lymphocyte and antibody responses, we searched for NY-ESO-1 epitopes presented by histocompatibility leukocyte antigen (HLA) class II molecules. Autologous monocyte-derived dendritic cells of cancer patients were incubated with recombinant NY-ESO-1 protein and used in enzyme-linked immunospot (ELISPOT) assays to detect NY-ESO-1–specific CD4+ T lymphocyte responses. To identify possible epitopes presented by distinct HLA class II alleles, overlapping 18-mer peptides derived from NY-ESO-1 were synthetized and tested for recognition by CD4+ T lymphocytes in autologous settings. We identified three NY-ESO-1–derived peptides presented by DRB4*0101–0103 and recognized by CD4+ T lymphocytes of two melanoma patients sharing these HLA class II alleles. Specificity of recognition was confirmed by proliferation assays. The characterization of HLA class II–restricted epitopes will be useful for the assessment of spontaneous and vaccine-induced immune responses of cancer patients against defined tumor antigens. Further, the therapeutic efficacy of active immunization using antigenic HLA class I–restricted peptides may be improved by adding HLA class II–presented epitopes.
Towards systematic live experimentation in software-intensive systems of systems

As the size, variation, and sophistication of software-intensive systems-of-systems grows, so does the uncertainty inherent to their design and development. To deal with this issue, we propose a framework for systematic experimentation based on declarative specification connected with system architecture. The focus is on how to specify experiments that allow systematic exploration of the space of alternative configurations at runtime. Since such experiments should be launched on live systems, extra care needs to be taken in preventing damages when experimenting with the systems. Therefore, we also focus on how to quantify the direct and the indirect cost associated with each experiment execution (which needs to be included in a cost-benefit analysis for system adaptation) and on how to gradually roll out an experiment via a number of different stages. We use the development of a route planner system as an example to motivate and exemplify our approach.