Miracle-dz/UniFAR-FTUs huggingface dataset:
Kinesin's cover-neck bundle folds forward to generate force

Each step of the kinesin motor involves a force-generating molecular rearrangement. Although significant progress has been made in elucidating the broad features of the kinesin mechanochemical cycle, molecular details of the force generation mechanism remain a mystery. Recent molecular dynamics simulations have suggested a mechanism in which the forward drive is produced when the N-terminal cover strand forms a β-sheet with the neck linker to yield the cover-neck bundle. We tested this proposal by comparing optical trapping motility measurements of cover strand mutants with the wild-type. Motility data, as well as kinetic analyses, revealed impairment of the force-generating capacity accompanied by a greater load dependence in the mechanochemical cycle. In particular, a mutant with the cover strand deleted functioned only marginally, despite the fact that the cover strand, the N-terminal “dangling end,” unlike the neck linker and nucleotide-binding pocket, is not involved with any previously considered energy transduction pathway. Furthermore, a constant assisting load, likely in lieu of a power stroke, was shown to rescue forward motility in the cover strand deletion mutant. Our results support a stepping mechanism driven by dynamic cover-neck bundle formation. They also suggest a strategy to generate motors with altered mechanical characteristics by targeting the force-generating element.
Spatial quality control bypasses cell-based limitations on proteostasis to promote prion curing

The proteostasis network has evolved to support protein folding under normal conditions and to expand this capacity in response to proteotoxic stresses. Nevertheless, many pathogenic states are associated with protein misfolding, revealing in vivo limitations on quality control mechanisms. One contributor to these limitations is the physical characteristics of misfolded proteins, as exemplified by amyloids, which are largely resistant to clearance. However, other limitations imposed by the cellular environment are poorly understood. To identify cell-based restrictions on proteostasis capacity, we determined the mechanism by which thermal stress cures the [PSI+]/Sup35 prion. Remarkably, Sup35 amyloid is disassembled at elevated temperatures by the molecular chaperone Hsp104. This process requires Hsp104 engagement with heat-induced non-prion aggregates in late cell-cycle stage cells, which promotes its asymmetric retention and thereby effective activity. Thus, cell division imposes a potent limitation on proteostasis capacity that can be bypassed by the spatial engagement of a quality control factor. DOI: http://dx.doi. org/10.7554/eLife.04288. 001
Not all keys can be hashed in constant time

A multitude of models and algorithms for hashing have been suggested and analyzed. However, almost all of them are specific in their assumptions and results. We present a simple new model that captures many natural (sequential and parallel) hashing algorithms. In a game against nature, the algorithm and coin-tosses cause the evolution of a random tree, whose size corresponds to space (hash table size), and two notions of depth correspond respectively to the largest probe sequences for insertion (parallel insertion time) and search of a key.
GWO-LPWSN: Grey Wolf Optimization Algorithm for Node Localization Problem in Wireless Sensor Networks

Seyedali Mirjalili et al. (2014) introduced a completely unique metaheuristic technique particularly grey wolf optimization (GWO). This algorithm mimics the social behavior of grey wolves whereas it follows the leadership hierarchy and attacking strategy. The rising issue in wireless sensor network (WSN) is localization problem. The objective of this problem is to search out the geographical position of unknown nodes with the help of anchor nodes in WSN. In this work, GWO algorithm is incorporated to spot the correct position of unknown nodes, so as to handle the node localization problem. The proposed work is implemented using MATLAB 8.2 whereas nodes are deployed in a random location within the desired network area. The parameters like computation time, percentage of localized node, and minimum localization error measures are utilized to analyse the potency of GWO rule with other variants of metaheuristics algorithms such as particle swarm optimization (PSO) and modified bat algorithm (MBA). The observed results convey that the GWO provides promising results compared to the PSO and MBA in terms of the quick convergence rate and success rate.
The Influence of Religion on the Partner Selection Strategies of Emerging Adults

Previous research has suggested that religiosity is associated with positive marital outcomes, but the underlying reasons for this association are not fully understood. We tested the hypothesis that religion influences marriage via partner selection strategies. Specifically, we hypothesized that proximal (more than distal) religiosity would predict partner selection strategies that facilitates positive marital outcomes; we also conducted exploratory analyses examining the influence of religious affiliation. Using a novel methodology that allowed for an examination of explicit and implicit attitudes, we tested our hypotheses using a large sample of emerging adults (N = 437). Findings indicate that religion influences partner selection preferences, but the effect is not uniformly positive. Religious affiliation, not individual level religiosity (distal or proximal), was the most robust predictor of mate-selection preferences. Possible explanations for these findings and implications for intervention are discussed.
The Effects of Employee Ownership on Organizational Identification, Employee Job Attitudes, and Organizational Performance: A Tentative Framework and Empirical Findings

Noting a paucity of research on the subject, this article attempts to explore the effects of employee ownership, concentrating on possible relationships between ownership and such variables as organizational identification, employee job attitudes, and organizational performance, and on identifying variables which may moderate these relationships. After development of a conceptual framework, empirical data obtained from study of a trucking company recently purchased by most of its employees are presented and discussed. These data support the plausibility of many of the hypothesized relationships, but do not permit strong causal inferences. Although the author tentatively concludes that employee ownership appears to have improved employee attitudes and organizational performance in this case, he stresses that much further research, in a variety of settings, specifically designed to permit causal testing of the propositions suggested here, is badly needed before firm conclusions can be drawn.
Architecture-Centric Software Development for Cyber-Physical Systems

We discuss the problem of high-assurance development of cyber-physical systems. Specifically, we concentrate on the interaction between the development of the control system layer and platform-specific software engineering for system components. We argue that an architecture-centric approach allows us to streamline the development and increase the level of assurance for the resulting system. The case study of an unmanned ground vehicle illustrates the approach. Disciplines Computer Engineering | Computer Sciences Comments First Workshop on Cyber-Physical System Architectures and Design Methodologies (CPSArch 2014) October 17, 2014, New Delhi, India. This conference paper is available at ScholarlyCommons: http://repository.upenn. edu/cis_papers/778 Architecture-Centric Software Development for Cyber-Physical Systems Oleg Sokolsky, Miroslav Pajic, Nicola Bezzo, and Insup Lee PRECISE Center University of Pennsylvania Philadelphia, PA, USA {sokolsky, pajic, nicbezzo, lee}@seas.upenn. edu
Simple, Near-Optimal Quantum Protocols for Die-Rolling

Die-rolling is the cryptographic task where two mistrustful, remote parties wish to generate a random $D$-sided die-roll over a communication channel. Optimal quantum protocols for this task have been given by Aharon and Silman (New Journal of Physics, 2010) but are based on optimal weak coin-flipping protocols which are currently very complicated and not very well understood. In this paper, we first present very simple classical protocols for die-rolling which have decent (and sometimes optimal) security which is in stark contrast to coin-flipping, bit-commitment, oblivious transfer, and many other two-party cryptographic primitives. We also present quantum protocols based on integer-commitment, a generalization of bit-commitment, where one wishes to commit to an integer. We analyze these protocols using semidefinite programming and finally give protocols which are very close to Kitaev's lower bound for any $D \geq 3$. Lastly, we briefly discuss an application of this work to the quantum state discrimination problem.
Coordination Chemistry inside Polymeric Nanoreactors: Metal Migration and Cross-Exchange in Amphiphilic Core-Shell Polymer Latexes

A well-defined amphiphilic core-shell polymer functionalized with bis(p-methoxy-phenylphosphino)phenylphosphine (BMOPPP) in the nanogel (NG) core has been obtained by a convergent RAFT polymerization in emulsion. This BMOPPP@NG and the previously-reported TPP@NG (TPP = triphenylphosphine) and core cross-linked micelles (L@CCM; L = TPP, BMOPPP) having a slightly different architecture were loaded with [Rh(acac)(CO)2] or [RhCl(COD)]2 to yield [Rh(acac)(CO)(L@Pol)] or [RhCl(COD)(L@Pol)] (Pol = CCM, NG). The interparticle metal migration from [Rh(acac)(CO)(TPP@NG)] to TPP@NG is fast at natural pH and much slower at high pH, the rate not depending significantly on the polymer architecture (CCM vs. NG). The cross-exchange using [Rh(acac)(CO)(BMOPPP@Pol)] and [RhCl(COD)(TPP@Pol)] (Pol = CCM or NG) as reagents at natural pH is also rapid (ca. 1 h), although slower than the equivalent homogeneous reaction on the molecular species (<5 min). On the other hand, the subsequent rearrangement of [Rh(acac)(CO)(TPP@Pol)] and [RhCl(COD)(TPP@Pol)] within the TPP@Pol core and of [Rh(acac)(CO)(BMOPPP@Pol)] and [RhCl(COD)(BMOPPP@Pol)] within the BMOPPP@Pol core, leading respectively to [RhCl(CO)(TPP@Pol)2] and [RhCl(CO)(BMOPPP@Pol)2], is much more rapid (<30 min) than on the corresponding homogeneous process with the molecular species (>24 h).
An evaluation of machine learning in algorithm selection for search problems

Machine learning is an established method of selecting algorithms to solve hard search problems. Despite this, to date no systematic comparison and evaluation of the different techniques has been performed and the performance of existing systems has not been critically compared with other approaches. We compare the performance of a large number of different machine learning techniques from different machine learning methodologies on five data sets of hard algorithm selection problems from the literature. In addition to well-established approaches, for the first time we also apply statistical relational learning to this problem. We demonstrate that there is significant scope for improvement both compared with existing systems and in general. To guide practitioners, we close by giving clear recommendations as to which machine learning techniques are likely to achieve good performance in the context of algorithm selection problems. In particular, we show that linear regression and alternating decision trees have a very high probability of achieving better performance than always selecting the single best algorithm.
Determinants of Quality of Life for Breast Cancer Patients in Shanghai, China

Purpose To evaluate the association of social support status, health insurance and clinical factors with the quality of life of Chinese women with breast cancer. Methods Information on demographics, clinical characteristics, and social support status was collected from 1,160 women with newly diagnosed breast cancer in Shanghai, China. The Perceived Social Support Scale was used to assess different sources of social support for breast cancer patients. The quality of life was evaluated using the Functional Assessment of Cancer Therapy-Breast Cancer that consisted of five domains: breast cancer-specific, emotional, functional, physical, and social & family well-being. Multivariate linear regression models were used to evaluate the associations of demographic variables, clinical characteristics, and social support status with the quality of life measures. Results Adequate social support from family members, friends and neighbors, and higher scores of Perceived Social Support Scale were associated with significantly improved quality of life of breast cancer patients. Higher household income, medical insurance plans with low copayment, and treatment with traditional Chinese medicine for breast cancer all were associated with higher (better) scores of quality of life measures whereas patients receiving chemotherapy had significantly lower scores of quality of life. Conclusion Social support and financial aids may significantly improve the quality of life of breast cancer survivors.
Determining optimal location of Static Var Compensator by means of genetic algorithm

The purpose of this paper is to study a practical and accurate heuristic method known as genetic algorithm (GA) which is used to find the optimal location of Static Var Compensator (SVC) and its appropriate size and setting. This method is employed to optimize the stability of power system by means of maximizing distance to collapse point. The continuation power flow (CPF) method is employed to determine the collapse point and critical area of power system. Moreover, the total real power loss of system is minimized by this algorithm. Modeling and simulation is performed on IEEE 14, 57 and 118 bus test system. The obtained result implements the effectiveness of this method to find the best location, appropriate size and setting of this element to the desired targets.
Visual access to hyper-information: using multiple metaphors with graphic affordances

Finding answers in a maze of hyper-linked information is disorienting and frustrating for computer users. Online help for workstation applications is largely inaccessible, difficult to consume, and rarely used. Confronted by these large volumes, users ask themselves “where am I? ” and “is what I’m looking for really here? ” The poster presents an integrated product of information design with graphic affordances that together ease user access and exploration. Multiple recognizable metaphors visually couple hyper-links with topics, helping each user create a predictable cognitive map of the information-space. The collaboration between learning products professionals and visual designers, practicing visual thinking techniques was instrumental in creating this integrated solution.
Sustained oscillations, irregular firing, and chaotic dynamics in hierarchical modular networks with mixtures of electrophysiological cell types

The cerebral cortex exhibits neural activity even in the absence of external stimuli. This self-sustained activity is characterized by irregular firing of individual neurons and population oscillations with a broad frequency range. Questions that arise in this context, are: What are the mechanisms responsible for the existence of neuronal spiking activity in the cortex without external input? Do these mechanisms depend on the structural organization of the cortical connections? Do they depend on intrinsic characteristics of the cortical neurons? To approach the answers to these questions, we have used computer simulations of cortical network models. Our networks have hierarchical modular architecture and are composed of combinations of neuron models that reproduce the firing behavior of the five main cortical electrophysiological cell classes: regular spiking (RS), chattering (CH), intrinsically bursting (IB), low threshold spiking (LTS), and fast spiking (FS). The population of excitatory neurons is built of RS cells (always present) and either CH or IB cells. Inhibitory neurons belong to the same class, either LTS or FS. Long-lived self-sustained activity states in our network simulations display irregular single neuron firing and oscillatory activity similar to experimentally measured ones. The duration of self-sustained activity strongly depends on the initial conditions, suggesting a transient chaotic regime. Extensive analysis of the self-sustained activity states showed that their lifetime expectancy increases with the number of network modules and is favored when the network is composed of excitatory neurons of the RS and CH classes combined with inhibitory neurons of the LTS class. These results indicate that the existence and properties of the self-sustained cortical activity states depend on both the topology of the network and the neuronal mixture that comprises the network.
Light‐dependent changes in psbD and psbC transcripts of barley chloroplasts: accumulation of two transcripts maintains psbD and psbC translation capability in mature chloroplasts.

The psbD and psbC genes encode two polypeptides of Photosystem II. These genes are adjacent in the barley chloroplast genome and are part of a 5.7 kbp transcription unit. In dark‐grown barley, four large transcripts hybridize to psbD and psbC; two additional transcripts hybridize to psbC. Illumination of 4.5‐day‐old dark‐grown seedlings causes a decrease in the six psbD–psbC transcripts found in etioplasts and the accumulation of two different transcripts of 4.0 and 3.2 kb which hybridize to psbD and psbC. The light‐induced transcripts have a common 5′ end approximately 600 nt upstream of psbD and 3′ ends 1175 and 175 nt downstream of psbC. The shift in psbD–psbC transcript population occurs during a phase of chloroplast maturation when transcript levels and translation of chloroplast genes such as psaA–psaB and psbB decline approximately 3‐ to 5‐fold. In contrast, translation of the psbD and psbC gene products declines to a lesser extent, suggesting that the light‐induced accumulation of the 4.0 and 3.2 kb psbD–psbC transcripts is required to maintain psbD and psbC gene product translation in mature chloroplasts.
Quantitative impact of changes in marrow cellularity, skeletal size, and bone mineral density on active marrow dosimetry based upon a reference model

Purpose: The hematopoietically active tissues of skeletal bone marrow are a prime target for computational dosimetry given potential risks of leukemia and, at higher dose levels, acute marrow toxicity. The complex three‐dimensional geometry of trabecular spongiosa, however, complicates schema for dose assessment in such a way that only a few reference skeletal models have been developed to date, and which are based upon microimaging of a limited number of cadaveric bone spongiosa cores. The question then arises as to what degree of accuracy is achievable from reference skeletal dose models when applied to individual patients or specific exposed populations? Methods: Patient variability in marrow dosimetry were quantified for three skeletal sites — the ribs, lumbar vertebrae, and cranium — for the beta‐emitters 45Ca, 153Sm, and 90Y, and the alpha‐particle emitters 223Ra, 219Rn, and 215Po, the latter two being the immediate progeny of the former. For each radionuclide and bone site, three patient parameters were altered from their values in the reference model: (1) bone size as a surrogate for patient stature, (2) marrow cellularity as a surrogate for age‐ or disease‐related changes in marrow adiposity, and (3) the trabecular bone volume fraction as a surrogate for bone mineral density. Marrow dose variability is expressed as percent differences in the radionuclide S value given by the reference model and the patient‐parameterized model. The impact of radionuclide biokinetics on marrow dosimetry was not considered. Results: Variations in overall bone size play a very minor role in active marrow dose variability. Marrow cellularity is a significant factor in dose variability for active marrow self‐irradiation, but it plays no role for radionuclides localized to the trabecular bone matrix. Variations in trabecular bone volume fractions impact the active marrow dose variability for short‐range particle emitters 45Ca, 223Ra, 219Rn, and 215Po in the vertebrae and ribs, skeletal sites with small spongiosa proportions of trabecular bone. In the cranium, with its relative high proportion of trabecular bone, significant differences in marrow dosimetry from the reference model were noted for all radionuclides. Conclusions: Skeletal models of active marrow dosimetry should be more fully parameterized to permit closer matching to patient bone density and marrow cellularity, particularly when considering short‐range particle emitters localized to either the bone trabeculae or active marrow, respectively.
Immediate loading with fixed screw-retained provisional restorations in edentulous jaws: the pickup technique.

PURPOSE This article describes (a) an immediate loading technique in the treatment of edentulous arches with screw-retained provisional restorations and (b) the effort to determine whether the described technique is compatible with the predictable achievement of osseointegration. MATERIALS AND METHODS Eight patients with either 1 or 2 edentulous arches were treated. A diagnostic tooth arrangement was carried out for each patient and was then duplicated twice to fabricate a provisional template and a surgical guide. Six to 10 solid-screw ITI implants were placed around the dental arch to reach the first molar regions. On the same day, all patients received splinted metal-free screw-retained provisional restorations according to the pickup technique. The provisional prostheses were retrieved every 2 weeks during the healing phase. RESULTS Seventy-eight implants were placed in 11 edentulous arches. Two implants were not immediately loaded because of inadequate primary stability. In an 8- to 20-month follow-up period (mean 14 months), two 8-mm implants were lost after 5 weeks of functional loading, resulting in an overall survival rate of 97.4%. All implants were assessed by resonance frequency analysis. After 4 months of functional loading, the mean implant stability quotient was 60+/-4.1 units (range 51 to 72 ISQ units) for maxillary implants and 65+/-6.5 units (range 47 to 74 ISQ units) for mandibular implants. DISCUSSION AND CONCLUSION The immediate loading of implants placed in edentulous arches with screw-retained 1-piece (cross-arch) provisional restorations does not appear to jeopardize the achievement of osseointegration. Neither the metal-free design of the provisional prostheses nor the removal of the provisional prostheses during the healing phase adversely affected osseointegration. The pickup technique for immediate provisionalization represents a reproducible treatment option.
Characterizing an elastomeric strain sensor at large strains and strain rates

Soft sensors are a necessary part of developing agile soft robots, but have not been adequately characterized at high strains and strain rates. Liquid-metal-in-elastomer sensors exhibit nonlinear hysteresis that has yet to be characterized or quanti ed. Preliminary experiments point to this hysteresis and suggest the need for systematic study of dynamics of soft-material robotic devices. Examining the high strain response of a strain sensor at 1.0 and 4.8 Hz we nd the sensor signal expresses a large increase in hysteresis, from 0.696% to 55.8%, but only a modest increase in the stress response hysteresis from 7.69% to 29.3%. Accurately identifying and characterizing the nonlinear dynamics of soft materials will enable better soft sensors and more agile soft robots.