Fidelity Requirements Research Articles

Genetic selection for mistranslation rescues a defective co-chaperone in yeast.

Despite the general requirement for translation fidelity, mistranslation can be an adaptive response. We selected spontaneous second site mutations that suppress the stress sensitivity caused by a Saccharomyces cerevisiae tti2 allele with a Leu to Pro mutation at residue 187, identifying a single nucleotide mutation at the same position (C70U) in four tRNAProUGG genes. Linkage analysis and suppression by SUF9G3:U70 expressed from a centromeric plasmid confirmed the causative nature of the suppressor mutation. Since the mutation incorporates the G3:U70 identity element for alanyl-tRNA synthetase into tRNAPro, we hypothesized that suppression results from mistranslation of Pro187 in Tti2L187P as Ala. A strain expressing Tti2L187A was not stress sensitive. In vitro, tRNAProUGG (C70U) was mis-aminoacylated with alanine by alanyl–tRNA synthetase, but was not a substrate for prolyl–tRNA synthetase. Mass spectrometry from protein expressed in vivo and a novel GFP reporter for mistranslation confirmed substitution of alanine for proline at a rate of ∼6%. Mistranslating cells expressing SUF9G3:U70 induce a partial heat shock response but grow nearly identically to wild-type. Introducing the same G3:U70 mutation in SUF2 (tRNAProAGG) suppressed a second tti2 allele (tti2L50P). We have thus identified a strategy that allows mistranslation to suppress deleterious missense Pro mutations in Tti2.

Do Program Implementation Factors or Fidelity Affect Chronic Disease Self-Management Education Programs' Outcomes?

To evaluate whether implementation factors or fidelity moderate chronic disease self-management education program outcomes. Meta-analysis of 34 Arthritis Self-Management Program and Chronic Disease Self-Management Program studies. Community. N = 10 792. Twelve implementation factors: program delivery fidelity and setting and leader and participant characteristics. Eighteen program outcomes: self-reported health behaviors, physical health status, psychological health status, and health-care utilization. Meta-analysis using pooled effect sizes. Modest to moderate statistically significant differences for 4 of 6 implementation factors; these findings were counterintuitive with better outcomes when leaders and participants were unpaid, leaders had less than minimum training, and implementation did not meet fidelity requirements. Exploratory study findings suggest that these interventions tolerate some variability in implementation factors. Further work is needed to identify key elements where fidelity is essential for intervention effectiveness.

The Church of England’s exclusion of same-sex couples from marriage

Behind the Church of England’s public statements on marriage, such as Men and Women in Marriage, lies the thought of ethicist Oliver O’Donovan. This article highlights the influence of O’Donovan’s arguments concerning ‘sexual dimorphism’ (male/female physiological opposition) and ‘openness to procreation’ upon the Church’s case for the heterosexual exclusivity of marriage, by showing how they fill in the gaps in the reasoning of Men and Women in Marriage. These arguments, however, are ideologically conservative, fail to meet O’Donovan’s own standard for the admissibility of natural claims and do not convince that sexual opposition is an essential requirement for fidelity, permanent mutuality or openness to procreation – the Church of England’s three goods of marriage.

Adaptation and Fidelity: a Recipe Analogy for Achieving Both in Population Scale Implementation.

Balancing adherence to fidelity of evidence-based programs and adaptation to local context is one of the key debates in the adoption and implementation of effective programs. Concern about maintaining fidelity to achieve outcomes can result in replication of research-based models that can be a poor fit with the real world. Equally, unplanned adaptation can result in program drift away from the core elements needed to achieve outcomes. To support implementation of the Maternal Early Childhood Sustained Home-visiting (MECSH) program in multiple sites in three countries, an analogy was developed to identify how both fidelity and adaptation can be managed and successfully achieved. This article presents the Commonsense Cookery Book Basic Plain Cake with Variations recipe analogy to articulate the dual requirements of both fidelity and adaptation to achieve quality implementation of the MECSH program. Components classified by the analogy include identification of core ingredients, methods, and equipment that contribute to fundamental outcomes and fidelity to the evidence-based program, and a planned, collaborative approach to identification of needed variations to suit locally sourced capacity, needs, and tastes. Quality is achieved by identifying and measuring the core ingredients and the variations. Sourcing local ingredients and honoring of context support sustainability of quality practice. Using this analogy has assisted adopters of the MECSH program to understand that effective implementation requires uncompromised commitment to expectations of fidelity to the core components and methods; planned, proactive adaptation; systematic monitoring of both core program and agreed variations; and local ownership and sustainability.

Degenerate Connective Polypeptide 1 (CP1) Domain from Human Mitochondrial Leucyl-tRNA Synthetase

The connective polypeptide 1 (CP1) editing domain of leucyl-tRNA synthetase (LeuRS) from various species either harbors a conserved active site to exclude tRNA mis-charging with noncognate amino acids or is evolutionarily truncated or lost because there is no requirement for high translational fidelity. However, human mitochondrial LeuRS (hmtLeuRS) contains a full-length but degenerate CP1 domain that has mutations in some residues important for post-transfer editing. The significance of such an inactive CP1 domain and a translational accuracy mechanism with different noncognate amino acids are not completely understood. Here, we identified the essential role of the evolutionarily divergent CP1 domain in facilitating hmtLeuRS's catalytic efficiency and endowing enzyme with resistance to AN2690, a broad-spectrum drug acting on LeuRSs. In addition, the canonical core of hmtLeuRS is not stringent for noncognate norvaline (Nva) and valine (Val). hmtLeuRS has a very weak tRNA-independent pre-transfer editing activity for Nva, which is insufficient to remove mis-activated Nva. Moreover, hmtLeuRS chimeras fused with a functional CP1 domain from LeuRSs of other species, regardless of origin, showed restored post-transfer editing activity and acquired fidelity during aminoacylation. This work offers a novel perspective on the role of the CP1 domain in optimizing aminoacylation efficiency.

Fidelity Requirements for Effective Live-Virtual-Constructive Training of Navy F/A-18 Pilots

The Office of Naval Research (ONR) Live-Virtual-Constructive (LVC) training program seeks to safely integrate virtual tracks (display symbols that represent aircraft flown by pilots in simulators) and constructive tracks (symbols that represent computer-generated aircraft) into live F/A-18 E/F/G radar and cockpit sensor system displays to reduce resource demands and support new capability requirements in air combat training. In a preceding effort, the researchers identified a number of aircrew concerns about the design of LVC training technology and its potential effects on air combat training quality and realism. Based on these findings, the researchers conducted an exploratory survey to better establish and gauge LVC fidelity requirements. Thirty air combat training professionals completed the survey. The survey results, presented herein, will be used to guide LVC engineering decision-making and design trade-offs.

Double Verification Secret Sharing Mechanism Based on Adaptive Pixel Pair Matching

Verifiability is essential for the secret sharing approach, which allows the involved participants to detect cheaters during the secret retrieval process. In this article, we propose a double verification secret sharing (DVSS) mechanism that can not only prevent fraudulent participants but also satisfy the requirements of secret payload, camouflage, image fidelity and lossless revealed secret. DVSS offers double verification process to enhance the cheater detectability; experimental results reveal that the designed scheme can share larger secret capacity and retain superior image quality than the related secret sharing methods.

Highly Selective Directional Atomic Layer Etching of Silicon

Following Moore's Law, feature dimensions will soon reach dimensions on an atomic scale. For the most advanced structures, conventional plasma etch processes are unable to meet the requirement of atomic scale fidelity. The breakthrough that is needed can be found in atomic layer etching or ALE, where greater control can be achieved by separating out the reaction steps. In this paper, we study selective, directional ALE of silicon using plasma assisted chlorine adsorption, specifically selectivities to bulk silicon oxide as well as thin gate oxide. Possible selectivity mechanisms will be discussed.

A Lumped-Parameter Modeling Methodology for One-Dimensional Hyperbolic Partial Differential Equations Describing Nonlinear Wave Propagation in Fluids

Modeling the transient response of compressible fluid systems using dynamic systems theory is relevant to various engineering fields, such as gas pipelines, compressors, or internal combustion engines. Many applications, for instance, real-time simulation tools, system optimization, estimation and control would greatly benefit from the availability of predictive models with high fidelity and low calibration requirements. This paper presents a novel approach for the solution of the nonlinear partial differential equations (PDEs) describing unsteady flows in compressible fluid systems. A systematic methodology is developed to operate model-order reduction of distributed-parameter systems described by hyperbolic PDEs. The result is a low-order dynamic system, in the form of ordinary differential equations (ODEs), which enables one to apply feedback control or observer design techniques. The paper combines an integral representation of the conservation laws with a projection based onto a set of eigenfunctions, which capture and solve the spatially dependent nature of the system separately from its time evolution. The resulting model, being directly derived from the conservation laws, leads to high prediction accuracy and virtually no calibration requirements. The methodology is demonstrated in this paper with reference to classic linear and nonlinear problems for compressible fluids, and validated against analytical solutions.

Exploiting the Data Sensitivity of Neurometric Fidelity for Optimizing EEG Sensing

With newly developed wireless neuroheadsets, electroencephalography (EEG) neurometrics can be incorporated into in situ and ubiquitous physiological monitoring for human mental health. As a resource constraint system providing critical health services, the EEG headset design must consider both high application fidelity and energy efficiency. However, through empirical studies with an off-the-shelf Emotiv EPOC Neuroheadset, we uncover a mismatch between lossy EEG sensor communication and high neurometric application fidelity requirements. To tackle this problem, we study how to learn the sensitivity of neurometric application fidelity to EEG data. The learned sensitivity is used to develop two algorithms: 1) an energy minimization algorithm minimizing the energy usage in EEG sampling and networking while meeting applications’ fidelity requirements and 2) a fidelity maximization algorithm maximizing the sum of all applications’ fidelities through the incorporation and optimal utilization of a limited data buffer. The effectiveness of our proposed solutions is validated through trace-driven experiments.

A cycle-specific cross-section update for real-time simulation of VVER-1000 core

A two-group cross-section generation methodology, cycle-specific cross-section update procedure and VVER-1000 reactor core model are described. The HELIOS lattice physics code is used to calculate the cross-section data tables according to a customized version of the cycle-specific cross-section modelling methodology of the Pennsylvania State University (PSU). A real-time version of the NEM code from PSU is developed for VVER-1000 full-scope simulator applications. The cross-section update procedure is tailored to meet cycle-specific reactor core simulation fidelity requirements as well as particular customer needs and practices. Combined with an enhanced thermal-hydraulics and Instrumentation (I&C) models the scope of Kozloduy 6 full-scope replica control room simulator is expanded to the whole range of plant operation modes ranging from cold shutdown (depressurized) state to rated power, as well as deviations from normal operating modes and even beyond-design basis accidents. The fidelity and accuracy of simulation is illustrated through comparison with plant-specific data.

Superconducting quantum circuits at the surface code threshold for fault tolerance.

A quantum computer can solve hard problems, such as prime factoring, database searching and quantum simulation, at the cost of needing to protect fragile quantum states from error. Quantum error correction provides this protection by distributing a logical state among many physical quantum bits (qubits) by means of quantum entanglement. Superconductivity is a useful phenomenon in this regard, because it allows the construction of large quantum circuits and is compatible with microfabrication. For superconducting qubits, the surface code approach to quantum computing is a natural choice for error correction, because it uses only nearest-neighbour coupling and rapidly cycled entangling gates. The gate fidelity requirements are modest: the per-step fidelity threshold is only about 99 per cent. Here we demonstrate a universal set of logic gates in a superconducting multi-qubit processor, achieving an average single-qubit gate fidelity of 99.92 per cent and a two-qubit gate fidelity of up to 99.4 per cent. This places Josephson quantum computing at the fault-tolerance threshold for surface code error correction. Our quantum processor is a first step towards the surface code, using five qubits arranged in a linear array with nearest-neighbour coupling. As a further demonstration, we construct a five-qubit Greenberger-Horne-Zeilinger state using the complete circuit and full set of gates. The results demonstrate that Josephson quantum computing is a high-fidelity technology, with a clear path to scaling up to large-scale, fault-tolerant quantum circuits.

MCDR: Mitigating Congestion using Distance based Routing in Wireless Sensor Networks

The network performance in WSNs is mainly affected by the congestion due to bursty traffic. Congestion can cause large packet drops, increased energy consumption and latency. Different traffic rate control mechanisms have proposed to mitigate congestion and most of these mechanisms are greatly affecting the fidelity requirement of the applications. In this paper, we proposed an algorithm named, Mitigating Congestion using Distance based Routing (MCDR) technique to mitigate congestion. This technique has successfully reduced congestion by scattering the traffic through the nodes which are placed at comparatively minimum distance from the sink and whose Queue Length is below the threshold value. The Residual Energy and Depth are two added parameters to strengthen the scattering decision. Simulation results shows that the network throughput has significantly improved with minimized latency due to the reduction of loops when

Eight Critical Factors in Creating and Implementing a Successful Simulation Program

Recognizing the need to minimize human error and adverse events, clinicians, researchers, administrators, and educators have strived to enhance clinicians' knowledge, skills, and attitudes through training. Given the risks inherent in learning new skills or advancing underdeveloped skills on actual patients, simulation-based training (SBT) has become an invaluable tool across the medical education spectrum. The large simulation, training, and learning literature was used to provide a synthesized yet innovative and "memorable" heuristic of the important facets of simulation program creation and implementation, as represented by eight critical "S" factors-science, staff, supplies, space, support, systems, success, and sustainability. These critical factors advance earlier work that primarily focused on the science of SBT success, to also include more practical, perhaps even seemingly obvious but significantly challenging components of SBT, such as resources, space, and supplies. SYSTEMS: One of the eight critical factors-systems-refers to the need to match fidelity requirements to training needs and ensure that technological infrastructure is in place. The type of learning objectives that the training is intended to address should determine these requirements. For example, some simulators emphasize physical fidelity to enable clinicians to practice technical and nontechnical skills in a safe environment that mirrors real-world conditions. Such simulators are most appropriate when trainees are learning how to use specific equipment or conduct specific procedures. The eight factors-science, staff, supplies, space, support, systems, success, and sustainability-represent a synthesis of the most critical elements necessary for successful simulation programs. The order of the factors does not represent a deliberate prioritization or sequence, and the factors' relative importance may change as the program evolves.

Fidelity Control of a Non-Proofreading Polymerase Studied from Kinetics to Molecular Dynamics

Polymerases catalyze template-based polymerization in gene replication and transcription. It is essential for the polymerase to achieve sufficiently high fidelity at sufficiently high speed. We investigated kinetically how polymerases select nucleotides efficiently under energy constraints. We noticed that initial screening is indispensable for lowering error rates without lowering much the polymerization speed. Still, multiple checkpoints seem to be necessary for the fidelity requirement overall. To see how exactly the nucleotide selection proceeds, we studied a single-subunit T7 RNA polymerase in molecular dynamics details. We found that substantial nucleotide selection happens prior to full insertion of the nucleotide or formation of the Watson-Crick base pairing. The initial selection replies primarily on electrostatic screening to destabilize a wrong nucleotide relative to the right one at the pre-insertion site. A highly conserved tyrosine can detect the nucleotide identity upon the pre-insertion, and assists the selection through 'gating' during the nucleotide insertion. In particular, the tyrosine residue differentiates dNTP from rNTP by favorably associating with dNTP but not rNTP. The mutation of this residue to phenylalanine loses this differentiation. That explains why the mutant was experimentally detected as not only an RNA polymerase, but also a DNA polymerase.

Energy efficient optimization of wireless embedded sensor networks

The energy optimization techniques developed for conventional ad hoc networks do not appropriately address the unique features of the wireless embedded sensor networks (WESNs). In the WESN environment, only reducing the overall energy consumption is not considered enough to maximize the life span of the entire network, but maintaining full network connectivity for a sufficiently long period of time is also an important design goal due to the energy constraints of each node. The wireless radio is a major energy user and is often the focus of energy conservation mechanisms, since the nodes communicate in a shared medium (air interface). The medium access control (MAC) layer of the communication protocol stack arbitrates access to the communications link by manipulating the sleep, listen, transmit, and receive states of the radio transceivers. The bursty traffic networks experience long periods of inactivity interrupted by unplanned and often short lived periods of high traffic loads. Currently available MAC protocols cannot meet application fidelity requirements of the bursty traffic networks since they are designed either for networks with periodic traffic or are not sufficiently traffic-adaptive, thereby introducing large multi-hop latency delays to realize network connectivity, overprovision during light traffic conditions, and slow ramp up at the initiation of a high traffic episode. This paper presents enhancements made to the energy efficient MAC protocol which is especially designed for the bursty traffic networks and in the process targets some available communication techniques used in the WESNs for discussion and comparison.

Human Motion Tracking With Wireless Wearable Sensor Network: Experience and Lessons

Wireless wearable sensor networks have emerged as a promising technique for human motion tracking due to the flexibility and scalability. In such system several wireless sensor nodes being attached to human limb construct a wearable sensor network, where each sensor node including MEMS sensors (such as 3-axis accelerometer, 3-axis magnetometer and 3-axis gyroscope) monitors the limb orientation and transmits these information to the base station for reconstruction via low-power wireless communication technique. Due to the energy constraint, the high fidelity requirement for real time rendering of human motion and tiny operating system embedded in each sensor node adds more challenges for the system implementation. In this paper, we discuss such challenges and experiences in detail during the implementation of such system with wireless wearable sensor network which includes COTS wireless sensor nodes (Imote 2) and uses TinyOS 1.x in each sensor node. Since our system uses the COTS sensor nodes and popular tiny operating system, it might be helpful for further exploration in such field.

New method of optimizing writing parameters in electron beam lithography systems for throughput improvement considering patterning fidelity constraints

Low-energy electron beam lithography is one of the promising next-generation lithography technology solutions for the 21-nm half-pitch node and beyond because of fewer proximity effects, higher resist sensitivity, and less substrate damage compared with high-energy electron beam lithography. To achieve high-throughput manufacturing, low-energy electron beam lithography systems with writing parameters of larger beam size, larger grid size, and lower dosage are preferred. However, electron shot noise can significantly increase critical dimension deviation and line edge roughness. Its influence on patterning prediction accuracy becomes nonnegligible. To effectively maximize throughput while meeting patterning fidelity requirements according to the International Technology Roadmap for Semiconductors, a new method is proposed in this work that utilizes a new patterning prediction algorithm to rigorously characterize the patterning variability caused by the shot noise and a mathematical optimization algorithm to determine optimal writing parameters. The new patterning prediction algorithm can achieve a proper trade-off between computational effort and patterning prediction accuracy. Effectiveness of the new method is demonstrated on a static random-access memory circuit. The corresponding electrical performance is analyzed by using a gate-slicing technique and publicly available transistor models. Numerical results show that a significant improvement in the static noise margin can be achieved.

PENERJEMAHAN PUISI HEUSCA KEDALAM BAHASA INDONSIA OLEH CHAIRIL ANWAR

This paper discusses English-poetry translation, Heusca by John Conford into Indonesian translated by Chairil Anwar. The purpose of this study is to determine how the translator considers aesthetic and expressive values from the source language and translate them into target language. Aesthetic values are the means of delivery thought through the use of poetic language such as diction or word choice, metaphor, imageri, and others figurative language. Meanwhile, the expressive values are the means of delivery thoughts through the author's mind or emotions such as structure, rhyme, and pronunciation. The method used in this study is a qualitative descriptive analysis of the meaning. The results of analysis show that in terms of meaning, aesthetic values, and structures, Heusca is the result of a semantic translation and faithful to source language. Translator managed to retain the meaning of source language. In other word, the translation can meet the requirements of fidelity. In terms of expressive values in particular aspects of meter and rhyme are not so faithful to source language because the source language and the target language have some differences. Basically, this is acceptable that the Indonesian language as target language has a very big difference in terms of pronunciation with English as the source language. As a result, meter and rhyme of target language may not be forced into the source language without damaging the naturalness of meaning for target language readers. It can be said that the translation can meet the transparency criteria because source language appeared in poetry comes naturally to native speakers of English.

Through the quantum chicane

In quantum control there is an inherent tension between high fidelity requirements and the need for speed to avoid decoherence. A direct comparison of quantum control protocols at these two extremes indicates where the sweet spot may lie.