Miracle-dz/UniFAR-FTUs huggingface dataset:
The effect of vegetarian diets on iron status in adults: A systematic review and meta-analysis

ABSTRACT Background: Vegetarian diets exclude meat, seafood, and products containing these foods. Although the vegetarian lifestyle could lead to a better health status in adults, it may also bear risks for certain nutritional deficiencies. Cross-sectional studies and narrative reviews have shown that the iron status of vegetarians is compromised by the absence of highly bioavailable haem-iron in meatless diets and the inhibiting effect of certain components present in plant foods on non-haem iron bioavailability. Methods: The databases Pubmed, Scopus, Embase, and Cochrane CentralRegister of Controlled Trials were searched for studies comparing serum ferritin, as the major laboratory parameter for iron status of adult vegetarians with non-vegetarian control groups. A qualitative review was conducted as well as an inverse-variance random-effects meta-analysis to pool available data. In addition the effect of vegetarian diets according to gender was investigated with a subgroup analysis. The results were validated using a sensitivity analysis. Results: A total of 27 cross-sectional studies and three interventional studies were selected for the systematic review. The meta-analysis which combined data of 24 cross-sectional studies showed that adult vegetarians have significantly lower serum ferritin levels than their non-vegetarian controls (−29.71 µg/L, 95% CI [−39.69, −19.73], p < 0.01). Inclusion of semi-vegetarian diets did not change the results considerably (−23.27 µg/L, 95% CI [−29.77, −16.76], p < 0.01). The effects were more pronounced in men (−61.88 µg/L, 95% CI [−85.59, −38.17], p < 0.01) than in both premenopausal women (−17.70 μg/L, 95% CI [−29.80, −5.60], p < 0.01) and all women (−13.50 μg/L, 95% CI [−22.96, −4.04], p < 0.01), respectively. Conclusions: In conclusion our results showed that vegetarians are more likely to have lower iron stores compared with non-vegetarians. However, since high iron stores are also a risk factor for certain non-communicable diseases, such as type 2 diabetes, it is recommended that not only vegetarians but also non-vegetarians should regularly control their iron status and improve their diet regarding the content and bioavailability of iron by consuming more plants and less meat.
Self-motion perception during conflicting visual-vestibular acceleration.

Self-motion is known to be falsely perceived during exposure to the movement of visual surroundings. This illusory perception of visually-induced self-motion is known as "vection. " The present study was conducted to examine the relative strengths of vection versus whole-body angular acceleration as they determine perceived self-rotation under conditions in which they individually provide conflicting information. Each subject was rotated for 90 s about a vertical axis at a constant acceleration, and a large-field visual surround in front of the subject was simultaneously rotated at a constant acceleration in the same direction, but at a magnitude of acceleration twice that of the body. This stimulus condition creates a sensory conflict between information from the vestibular/somatosensory systems and information from the visual system with respect to the direction of self-rotation. The subject eventually perceived self-acceleration in the direction of circular vection (CV), even though he or she was actually being accelerated in the direction opposite to CV. When the magnitude of contradictory chair acceleration exceeded the vestibular perceptual threshold, the onset latency of CV was significantly delayed. Our results suggest that visual information contributes to the perception of self-acceleration, and that illusory self-motion could overwhelm the feeling of self-acceleration due to inertial motion. CV would thus be a significant factor in determining spatial orientation in certain operational environments and flight conditions.
Power Integrity Aware Approach to Dynamic Analysis of Buck Converters

In this paper, a novel approach is presented for an integrated analysis of power distribution networks, including dc–dc converters, power transmission lines (PTLs), and multiple loads. The effect of power interconnects is investigated on the dynamic characteristics of a pulsewidth-modulated buck converter. A closed-form relation is developed for control-to-output transfer function including the power interconnects as a transmission line model. The effect of PTLs is demonstrated on converter’s open-loop transfer function and its stability. For analysis of distributed power loads on printed circuit board PTLs, a model is developed based on cascaded matrix representation of interconnects. The model is successfully tested against planar electromagnetic simulation results.
Macroscopic forcing method: A tool for turbulence modeling and analysis of closures

This study presents a numerical procedure, which we call the macroscopic forcing method (MFM), which reveals the differential operators acting on the mean fields of quantities transported by underlying fluctuating flows. Specifically, MFM can precisely determine the eddy diffusivity operator, or more broadly said, it can reveal differential operators associated with turbulence closure for scalar and momentum transport. We present this methodology by considering canonical problems with increasing complexity. Starting from the well-known problem of dispersion of passive scalars by parallel flows we elucidate the basic steps in quantitative determination of the eddy viscosity operators using MFM. Utilizing the operator representation in Fourier space, we obtain a stand-alone compact analytical operator that can accurately capture the nonlocal mixing effects. Furthermore, a cost-effective generalization of MFM for analysis of nonhomogeneous and wall-bounded flows is developed and is comprehensively discussed through a demonstrative example. Extension of MFM for analysis of momentum transport is theoretically constructed through the introduction of a generalized momentum transport equation. We show that closure operators obtained through MFM analysis of this equation provide the exact RANS solutions obtained through averaging of the Navier-Stokes equation. We introduce MFM as an effective tool for quantitative understanding of non-Boussinesq effects and assessment of model forms in turbulence closures, particularly, the effects associated with anisotropy and nonlocality of macroscopic mixing.
Frequency modulation of a series resonant dual active bridge to minimize the circulating reactive currents in the high frequency link

A frequency modulation scheme is proposed for a Capacitor-Inductor-Inductor-Capacitor (CLLC) Resonant Dual Active Bridge (RDAB) that relies on dynamic retuning of the resonant capacitors to the switching frequency as it is modulated. The proposed modulation scheme greatly reduces the circulating reactive currents in the High Frequency Link (HFL) by operating at a range of fixed discrete switching frequencies. A Triple Phase Shift (TPS) modulation scheme is used in between the discrete steps of switching frequencies and capacitances. In this paper, a mathematical analysis is presented of the RDAB and the proposed modulation scheme is compared to all of the existing modulation schemes. The CLLC RDAB is implemented in simulation and the simulation results demonstrate the effectiveness of the proposed modulation scheme at decreasing the circulating reactive currents, and therefore, greatly decreasing the conduction losses of the converter at light load, while maintaining its soft switching capability.
The Geometry of Deep Networks: Power Diagram Subdivision

We study the geometry of deep (neural) networks (DNs) with piecewise affine and convex nonlinearities. The layers of such DNs have been shown to be {\em max-affine spline operators} (MASOs) that partition their input space and apply a region-dependent affine mapping to their input to produce their output. We demonstrate that each MASO layer's input space partitioning corresponds to a {\em power diagram} (an extension of the classical Voronoi tiling) with a number of regions that grows exponentially with respect to the number of units (neurons). We further show that a composition of MASO layers (e.g., the entire DN) produces a progressively subdivided power diagram and provide its analytical form. The subdivision process constrains the affine maps on the (exponentially many) power diagram regions to greatly reduce their complexity. For classification problems, we obtain a formula for a MASO DN's decision boundary in the input space plus a measure of its curvature that depends on the DN's nonlinearities, weights, and architecture. Numerous numerical experiments support and extend our theoretical results.
A Graph-based Approach to Person Name Disambiguation in Web

This article presents a name disambiguation approach to resolve ambiguities between person names and group web pages according to the individuals they refer to. The proposed approach exploits two important sources of entity-centric semantic information extracted from web pages, including personal attributes and social relationships. It takes as input the web pages that are results for a person name search. The web pages are analyzed to extract personal attributes and social relationships. The personal attributes and social relationships are mapped into an undirected weighted graph, called attribute-relationship graph. A graph-based clustering algorithm is proposed to group the nodes representing the web pages, each of which refers to a person entity. The outcome is a set of clusters such that the web pages within each cluster refer to the same person. We show the effectiveness of our approach by evaluating it on large-scale datasets WePS-1, WePS-2, and WePS-3. Experimental results are encouraging and show that the proposed method clearly outperforms several baseline methods and also its counterparts.
Nitric Oxide Activation of p38 Mitogen-activated Protein Kinase in 293T Fibroblasts Requires cGMP-dependent Protein Kinase*

An increase in cellular levels of cyclic nucleotides activates serine/threonine-dependent kinases that lead to diverse physiological effects. Recently we reported the activation of the p38 mitogen-activated protein kinase (MAPK) pathway in neutrophils by a cGMP-dependent mechanism. In this study we demonstrated that exogenously supplied nitric oxide leads to activation of p38 MAPK in 293T fibroblasts. Phosphorylation of p38 corresponded with an increase in ATF-2-dependent gene expression. The effect of nitric oxide was mimicked by addition of 8-bromo-cGMP, indicating that activation of soluble guanylyl cyclase was involved. The importance of cGMP-dependent protein kinase in the activation of p38 MAPK by nitric oxide in 293T cells was assessed in a transfection based assay. Overexpression of cGMP-dependent protein kinase-1α caused phosphorylation of p38 in these cells and potentiated the effectiveness of cGMP. Overexpression of a catalytically inactive mutant form of this enzyme (T516A) blocked the ability of both nitric oxide and 8-bromo-cGMP to activate p38 as measured by both p38 phosphorylation and ATF-2 driven gene expression. Together, these data demonstrate that nitric oxide stimulates a novel pathway leading to activation of p38 MAPK that requires activation of cGMP-dependent protein kinase.
Generic Multilayer Network Data Analysis with the Fusion of Content and Structure

Multi-feature data analysis (e.g., on Facebook, LinkedIn) is challenging especially if one wants to do it efficiently and retain the flexibility by choosing features of interest for analysis. Features (e.g., age, gender, relationship, political view etc.) can be explicitly given from datasets, but also can be derived from content (e.g., political view based on Facebook posts). Analysis from multiple perspectives is needed to understand the datasets (or subsets of it) and to infer meaningful knowledge. For example, the influence of age, location, and marital status on political views may need to be inferred separately (or in combination). In this paper, we adapt multilayer network (MLN) analysis, a nontraditional approach, to model the Facebook datasets, integrate content analysis, and conduct analysis, which is driven by a list of desired application based queries. Our experimental analysis shows the flexibility and efficiency of the proposed approach when modeling and analyzing datasets with multiple features.
Preserving Uncertainty in Demand Prediction for Autonomous Mobility Services

Unlike traditional bus fleets, autonomous mobility services are naturally amenable to dynamic, demand-responsive adaptation of itinerary. Accurate prediction of demand for such services can thus improve their utilization and decrease their operational costs. Although demand for transit services is inherently stochastic, models of demand often reduce its distribution to point estimates, thus losing useful information for subsequent decision making. In this paper, we advocate for preserving the full predictive distribution through quantile regression, so that the structure of uncertainty in future demand is preserved. To demonstrate our approach, we present a real-world case study of an autonomous shuttle service in a Danish university campus, for which we have several weeks of crowd movement counts, as reconstructed from campus WiFi records. We devise several types of quantile regression models for demand prediction, analyze their performance, and discuss their applicability to the case study. Our modeling methodology can be extended to autonomous fleets of higher scale, thus promoting sustainable shared mobility.
The Weyl-Wigner formalism for the interpretation of parametric down-conversion experiments

We show that the Weyl-Wigner formalism in the Heisenberg picture may be used for the interpretation of experiments involving entangled photon pairs produced in nonlinear crystals via spontaneous parametric down-conversion. The calculations are usually no more involved than those with the Hilbert-space formalism. The WW formalism suggests a physical picture in terms of random variables and stochastic processes, but the picture is shown untenable in some instances.
Low noise CMOS implementation of order weight average operator for fuzzy logic controller chip

Yager introduced the order weight averaging (OWA) operator to provide a method for aggregating multiple inputs that lie between max and min operators. The OWA aggregation operators allow us to adjust the degree of ¿anding¿ and ¿oring¿ easily and implicitly in an aggregation stage. In this paper, we present CMOS implementation of OWA operator. We simulated our proposed design in 49 level HSPICE simulation software and its results show that OWA operator has better functionality in response to noisy inputs than MAX operator.
Lumenal sites and C terminus accessibility of the skeletal muscle calcium release channel (ryanodine receptor)

The membrane topology of the skeletal muscle ryanodine receptor (RyR1) was investigated using site-directed antibodies directed against amino acid sequences 2804-2930, 4581-4640, 4860-4886, and 4941-5037. Ab(2804- 2930) bound with identical affinity to either closed or permeabilized sarcoplasmic reticulum vesicles, confirming the cytoplasmic location of this segment. Ab(4581-4640) did not bind to closed vesicles but bound well to permeabilized vesicles, supporting a lumenal location for this segment. Ab(4860-4886) did not bind to closed vesicles but exhibited weak binding to the permeabilized vesicles, suggesting that a portion of the epitope may be exposed on the lumenal surface. The C-terminal antibody (Ab(4941-5037)) bound weakly to closed vesicles, and binding was not significantly enhanced by permeabilizing vesicles with low concentrations of non-denaturing detergent. However, the C-terminal antibodies bound efficiently to vesicles which were transiently incubated at alkaline pH or subjected to trypsinolysis, conditions where few of the vesicles were permeabilized. These results support a model for the membrane topology of the ryanodine receptor as proposed by Takeshima et al. (Takeshima, H., Nishimura, S., Matsumoto, T., Ishida, H., Kangawa, K., Minamino, N., Matsuo, H., Ueda, M., Hanaoka, M., Hirose, T., and Numa, S. (1989) Nature 339, 439-445). The results also suggest that the native conformation of the C terminus is inaccessible to antibodies.
Game Theoretical model for Resource Allocation in 5G Hybrid HetNets

The next generation wireless communication system requires multi-tiers hybrid Heterogeneous Networks (HetNets) to provide an efficient bandwidth usage and high speed data throughput. In such environment, the number of users may vary over time in addition to the random profile of their distribution and their requested quality of service (QoS). Indeed, the satisfaction of users in terms of service price and QoS presents a challenge in 5G hybrid HetNets. To deal with this problem, we propose a non-cooperative game theoretical model for resource allocation within 5G hybrid HetNets. The proposed game model allows the combination of different types of transmission networks within a single communication in order to provide the best economic benefit to the user. Indeed, multiple network providers (NPs) present their service offers, and the user, according to his needs may choose several NPs to serve him simultaneously. In this case, each NP can serve multiple users with a fair sharing of bandwidth. Based on the proposed game model, simulation results show that the system becomes more efficient and flexible.
Immunohistochemical Analysis of the Ubiquitin Proteasome System and Autophagy Lysosome System Induced After Traumatic Intracranial Injury: Association With Time Between the Injury and Death

AbstractThis study aimed to analyze how the ubiquitin proteasome system (UPS) or autophagy lysosome system (autophagy) are induced in brain tissues at different intervals after traumatic intracranial injury in humans. Injured cerebral cortices of 36 forensic autopsy cases were analyzed by immunohistochemistry using antibodies as the UPS marker (ubiquitin and lysine 48-linked polyubiquitin chains [K48]) and autophagy marker (lysine 63-linked polyubiquitin chains [K63], p62/sequestome 1 and microtubule-associated protein 1 light chain 3 [LC3]). The number of neurons and glial cells with cytoplasmic inclusions that stained positive for ubiquitin, K48, and p62 began to increase within 1 hour after intracranial injury, particularly at contusion sites. From 3.5 hours onward, an increase in cytoplasmic inclusions that stained positive for K63 and LC3 began to be detected. LC3-positive cytoplasmic inclusions were not identified after 37 days; however, the increased immunoreactivity to ubiquitin and anti-K48 antibody was maintained for 7 months. These results suggest that the UPS is activated earlier and lasts longer than autophagy, that autophagy is activated for a relatively short term (between a few hours and approximately 1 month), and that the activation occurs especially in severely damaged brain tissues following head trauma in humans.
Phenotypic and Genomic Analyses of a Fast Neutron Mutant Population Resource in Soybean1[W][OA]

Mutagenized populations have become indispensable resources for introducing variation and studying gene function in plant genomics research. In this study, fast neutron (FN) radiation was used to induce deletion mutations in the soybean (Glycine max) genome. Approximately 120,000 soybean seeds were exposed to FN radiation doses of up to 32 Gray units to develop over 23,000 independent M2 lines. Here, we demonstrate the utility of this population for phenotypic screening and associated genomic characterization of striking and agronomically important traits. Plant variation was cataloged for seed composition, maturity, morphology, pigmentation, and nodulation traits. Mutants that showed significant increases or decreases in seed protein and oil content across multiple generations and environments were identified. The application of comparative genomic hybridization (CGH) to lesion-induced mutants for deletion mapping was validated on a midoleate x-ray mutant, M23, with a known FAD2-1A (for fatty acid desaturase) gene deletion. Using CGH, a subset of mutants was characterized, revealing deletion regions and candidate genes associated with phenotypes of interest. Exome resequencing and sequencing of PCR products confirmed FN-induced deletions detected by CGH. Beyond characterization of soybean FN mutants, this study demonstrates the utility of CGH, exome sequence capture, and next-generation sequencing approaches for analyses of mutant plant genomes. We present this FN mutant soybean population as a valuable public resource for future genetic screens and functional genomics research.
Physical layer plausibility checks for misbehavior detection in V2X networks

Location spoofing is a proven and powerful attack against Vehicle-to-everything (V2X) communication systems that can cause traffic congestion and other safety hazards. Recent work also demonstrates practical spoofing attacks that can circumvent application layer sanity checks. In this paper, we propose three novel physical layer plausibility checks that leverage the received signal strength indicator (RSSI) of basic safety messages (BSMs). These plausibility checks have multi-step mechanisms to improve not only the detection rate, but also to decrease false positives. These checks can be run independently by each vehicle and do not rely on the assumption that the majority of vehicles is honest. We comprehensively evaluate the performance of these plausibility checks using the VeReMi dataset (which we enhance along the way) for several types of attacks. We show that the best performing physical layer plausibility check among the three considered achieves an overall detection rate of 83.73% and a precision of 95.91%, far outperforming recently proposed machine learning-based misbehavior detection methods operating at the application layer.
WHOLE-BODY CLEARANCE KINETICS AND EXTERNAL DOSIMETRY OF 131I-3F8 MONOCLONAL ANTIBODY FOR RADIOIMMUNOTHERAPY OF NEUROBLASTOMA

The purpose of this retrospective study was to evaluate the whole-body clearance kinetics of 131I-3F8 monoclonal antibody, an anti-ganglioside 2 antibody, used in the treatment of pediatric patients with late-stage neuroblastoma (NB). Serial whole-body dose rate measurements were obtained on pediatric patients participating in phase I dose escalation studies of therapeutic 131I-3F8. Whole-body retention fractions were derived and fit for each treatment to exponential curves to determine both the effective half-lives and corresponding clearance fractions. 27 patients were administered 131I-3F8 over the course of cyclical administrations with a median administered activity of 2.5 GBq (range, 1–8.14 GBq), typically every 2–4 d for up to 9 treatment cycles. Based on whole-body dose rate measurements, there was a large variability in the calculated mono-exponential clearance effective half-life time, with a mean of 26.4 h (range, 12.4–45.5 h). The data from a subset of 12 treatments were fit to a bi-exponential curve with a rapid clearance component mean effective half-time of 16.9 h (range, 4.3–26 h) and a slower clearance component mean effective half-time of 65.5 h (range, 16.9–136 h). The use of whole-body dose rate measurements, obtained for patient-release and other radiation safety considerations, can be useful in estimating whole-body clearance kinetics for photon emitting radionuclide labeled mAbs and other therapeutic radiopharmaceuticals. In the case of 131I-3F8 for pediatric NB therapy, the demonstrated variability in effective half-time suggests the need for patient-specific tracer dosimetry for both optimization of treatment and radiation safety precaution decision-making.