cssi/SciSciGPT-SciSciNet huggingface dataset:
Near optimal behavior via approximate state abstraction

The combinatorial explosion that plagues planning and reinforcement learning (RL) algorithms can be moderated using state abstraction. Prohibitively large task representations can be condensed such that essential information is preserved, and consequently, solutions are tractably computable. However, exact abstractions, which treat only fully-identical situations as equivalent, fail to present opportunities for abstraction in environments where no two situations are exactly alike. In this work, we investigate approximate state abstractions, which treat nearly-identical situations as equivalent. We present theoretical guarantees of the quality of behaviors derived from four types of approximate abstractions. Additionally, we empirically demonstrate that approximate abstractions lead to reduction in task complexity and bounded loss of optimality of behavior in a variety of environments.
A Massive Loss of Habitat: New Drivers for Migration

The paper examines three emergent migration flows, each with specific features that can be described as extreme. The effort organizing the paper is to understand conditions at places of origin that lead people to risk their lives in dangerous trips to escape those places of origin. As is by now known, these migrants are not the poorest of the poor in their places of origins. The rapid surge in these flows combined with the conditions they leave behind raise a question that organizes much of the analysis: Are the categories we use to understand and describe migrations—that is, the notion of people in search of a better life, who leave behind a family and home that they want to support from afar and possibly return to–enough to capture the specificity of these emergent flows. My answer is: not quite. One big difference from the past is that part of the story is a massive loss of habitat due to a variety of extreme patterns, from massive land-grabs to poisoning of land and water due to mining. The paper examines how the development models implemented over the last 30 and more years have enabled some of these negative conditions. Further, another major factor reducing the habitat of these migrants is a proliferation of asymmetric wars. Both sets of factors reduce the habitat for more people. One outcome of this combination of elements is these new migrations.
Observations of conjugate MSTIDs using networks of GPS receivers in the American sector

This study has used total electron content (TEC) values from an extended network of GPS receivers and a highly developed processing to characterize the conjugacy of medium-scale traveling ionospheric disturbances (MSTIDs) over the American continent. It was found that midlatitude nighttime MSTIDs, also named electrobuoyancy waves, map into the opposite hemisphere but the amplitude of the TEC disturbance in the Southern Hemisphere is between 8 and 13% of the amplitude in the original hemisphere. The periods of the MSTIDs vary between 50 and 65 min. MSTID dynamics is presented for two days: 20 August 2012 and 17 June 2012. On the first day, MSTIDs entered into the American sector shortly before 4 UT, last for 3 h, drifted at an average speed of 200 m/s, and dissipated in the Caribbean region. In the Northern Hemisphere, the MSTIDs were directed southwestward (SW) and 60° from south. In the Southern Hemisphere, they moved northwestward (NW) or ~60° from north. The MSTID velocity changed through the night from ~300 m/s to ~150 m/s, but the propagation direction did not vary. On 17 June 2012 a series of wide MSTIDs were seen traveling across the Caribbean region that exited through the western coast of Central America. These MSTIDs last for ~5 h. Number density measured with the DMSP-F15 and DMSP-F17 satellites confirm the notion that the MSTIDs consist of rising and falling sheets of plasma density driven by electric fields likely set by a Perkins-type instability. These observations support the notion that gravity waves can seed and boost the growth of the nighttime MSTIDs.
Universal shape replicators via self-assembly with attractive and repulsive forces

We show how to design a universal shape replicator in a self-assembly system with both attractive and repulsive forces. More precisely, we show that there is a universal set of constant-size objects that, when added to any unknown hole-free polyomino shape, produces an unbounded number of copies of that shape (plus constant-size garbage objects). The constant-size objects can be easily constructed from a constant number of individual tile types using a constant number of preprocessing self-assembly steps. Our construction uses the well-studied 2-Handed Assembly Model (2HAM) of tile self-assembly, in the simple model where glues interact only with identical glues, allowing glue strengths that are either positive (attractive) or negative (repulsive), and constant temperature (required glue strength for parts to hold together). We also require that the given shape has specified glue types on its surface, and that the feature size (smallest distance between nonincident edges) is bounded below by a constant. Shape replication necessarily requires a self-assembly model where parts can both attach and detach, and this construction is the first to do so using the natural model of negative/repulsive glues (also studied before for other problems such as fuel-efficient computation); previous replication constructions require more powerful global operations such as an "enzyme" that destroys a subset of the tile types.
Photo Quiz: Fever, Rash, and Polyarthralgia in a 5-Year-Old Male

A 5-year-old male was referred to the Riley Hospital for Children for evaluation of limping and refusal to use his right hand. Prior to presentation, he had been intermittently ill for 3 weeks with symptoms that included recurrent fevers (39°C to 41°C), chills, and an erythematous, macular rash on
New Security Notions and Feasibility Results for Authentication of Quantum Data

We give a new class of security definitions for authentication in the quantum setting. These definitions capture and strengthen existing definitions of security against quantum adversaries for both classical message authentication codes (MACs) as well as full quantum state authentication schemes. The main feature of our definitions is that they precisely characterize the effective behavior of any adversary when the authentication protocol accepts, including correlations with the key. Our definitions readily yield a host of desirable properties and interesting consequences; for example, our security definition for full quantum state authentication implies that the entire secret key can be re-used if the authentication protocol succeeds.
Rejecting Racism in Any Form: Latter-day Saint Rhetoric, Religion, and Repatriation

The Church of Jesus Christ of Latter-day Saints issued an online statement in February 2012 rejecting all racism, in any form. The statement followed nearly two centuries of tortured struggles with racism promulgated by church leaders, instituted in everyday practices, and integrated into Latter-day Saint scriptures. While rhetoric renouncing racism from the LDS Church is a welcome step, religions need to compliment language undoing racism with concrete actions. This article examines ways that the LDS Church may work towards actually ending various forms of racism. It focuses attention on the role of settler colonial grave robbery, the loot from which was used in the production of Mormon scriptures advocating white privilege. These acts of violence against Native people continue into the present, as illustrated by the recent occupation of the Malheur Wildlife Refuge by Mormon militiamen, extensive trade networks in antiquities in Mormon communities, unethical uses of Native American DNA, and ongoing efforts by Utah legislators to undermine tribal sovereignty. Current rhetoric condemning racism appears to serve as a mask for the continued imbalance of power in a land-rich institution in which the highest positions of authority remain exclusively in the hands of white men. Reciprocal acts of repatriation, initiated but never finished by early LDS Church leaders, need to be re-activated if Mormons are to effectively repudiate racism in its many forms.
BONE ECHINOCOCCOSIS: SIX CASES

Hydatid disease of the bone and soft tissue of the musculoskeletal system is uncommon. The dissemination mode leads to local malignancy with severe prognosis. Tunisia is an endemic area of the disease. Therefore we treated many patients affected the disease. We retrosectivelly reviwed 6 cases of bone hydatid cyst from 1990 to 2010. There were 3 males and 3 females. The mean age was 13 years. The localisation were 03 spinal, 2 in the proximal tibia and & localisation in trochanter. The diagnosis were histoligical in all patient. the mean delay for the diagnosis was 3 years. One patient with spinal localisation had neurological complication paraplegia. All the patient had surgical excision of the hydatid cyst. Ther ewere 3 cases with local recurrence. Because of the poor results with medical treatment, osseous hydatidosis must be treated by a radical operation with wide excision, adapted to each localization. In the main, the prognosis of osseous hydatidosis remains poor, especially with spinal and pelvic localizations, which are the most frequent ones. The prognosis and treatment of osseous hydatidosis belong in the same category as a locally malignant lesion.
THE TWO-STAGE EXCHANGE: RES IPSA LOQUITOR

A “two-stage exchange” remains the gold standard for treatment of the infected TKA in North America. Although there is interest in “one-stage exchange” this technique is not as familiar to many US surgeons and it is unclear if the reported results of Europe can be translated to North American practice. Specific concerns include the “radicalness” of the debridement required (which oftentimes includes the collateral ligaments, hence the popularity of hinged implants where this approach is common) and the use of fully cemented stems, which are extremely difficulty to remove if infection recurs. Thus while the idea of a one stage exchange is attractive to many North American surgeons, careful study will be required to determine if success can be achieved with a more “conservative” debridement and the use of cementless stems which are preferred by some surgeons. The basic principles of a two-stage exchange include: Thorough debridement of all infected appearing foreign material and all cement; Placement of an interval antibiotic loaded spacer (note that the addition of antibiotics to bone cement is NOT FDA approved) – 4–6g of antibiotics per pkg of cement; typically vancomycin + tobramycin; Higher viscosity cement may be associated with higher elution; The combination of antibiotics also leads to higher elution. Antibiotic spacers can be “articulating” or “static”. Potential advantages of an articulating spacer include greater patient comfort and an easier approach at the second stage exchange as soft tissue tension and range of motion is maintained. However, these spacers are oftentimes more costly and can break or dislocate. The first stage is followed by approximately 6 weeks of organism specific IV antibiotics. An interdisciplinary approach with an infectious disease specialist, internal medicine and a nutritionist optimises outcomes. Our protocol then includes weekly ESR and CRP to monitor their trend. These labs are re-checked two weeks after cessation of antibiotics to ensure the trend has not changed. The knee is routinely aspirated at this time point and the fluid obtained sent for a synovial fluid WBC count with differential and cultures (although the value of such cultures is controversial). We have found that while the ESR and CRP are significantly lower than prior to removal of the infected implant, they often times DO NOT normalise and there is no specific cut-off value that predicts persistent infection.
Relationship between Intraoperative Hypotension, Defined by Either Reduction from Baseline or Absolute Thresholds, and Acute Kidney and Myocardial Injury after Noncardiac Surgery: A Retrospective Cohort Analysis.

Background:How best to characterize intraoperative hypotension remains unclear. Thus, the authors assessed the relationship between myocardial and kidney injury and intraoperative absolute (mean arterial pressure [MAP]) and relative (reduction from preoperative pressure) MAP thresholds.Methods:The a
Splice site detection using pruned maximum likelihood model

In this paper we propose a novel method for splice site prediction using the maximum likelihood model. We performed maximum likelihood over the acceptor and donor datasets, and calculated sensitivity to measure the prediction performance. Then, by aggressive pruning of less informative nucleotide sites, while maintaining the high sensitivity of the method, we improved the model's performance in terms of the computational speed. In addition, after pruning fewer nucleotide sites need to be tagged, which in turn simplifies the development of an assay. The proposed method was tested on the human splice dataset. The results indicate that the proposed method was successful at splice site prediction with optimal sensitivity.
Three observational differences for binary black holes detections with second- and third-generation gravitational-wave detectors

Advanced gravitational-wave observatories, such as LIGO and Virgo, will detect hundreds of gravitational-wave signals emitted by binary black holes in the next few years. The collection of detected sources is expected to have certain properties. It is expected that a selection bias will exist toward higher-mass systems, that most events will be oriented with their angular momentum pointing to or away from Earth, and that quiet events will be much more numerous than loud events. In this paper, we show how all these assumptions are only true for existing detectors and do not have any universality. Using a network of proposed third-generation gravitational-wave detectors, we show how each of these assumptions must be revised, and we discuss several consequences on the characterization of the sources.
Does mobile money use increase firms’ investment? Evidence from Enterprise Surveys in Kenya, Uganda, and Tanzania

Private investment can be an important engine of economic growth in East African countries, which, despite recent growth rates, are still plagued with adverse economic conditions. Against this backdrop, there has been substantial penetration of mobile money, moving beyond simple person-to-person exchanges toward adoption by private firms. This study explores whether there is a relationship between firm adoption of mobile money and firm investment. Using firm-level data that are nationally representative of the private sector in three East African countries -- Kenya, Tanzania, and Uganda -- a positive relationship is found between mobile money use and the probability of a firm’s purchase of fixed assets. This relationship is attributed to reduced transaction costs, increased liquidity, and increased credit worthiness associated with the use of mobile phone financial services.
Tau Imaging in Alzheimer's Disease Diagnosis and Clinical Trials.

In vivo imaging of the tau protein has the potential to aid in quantitative diagnosis of Alzheimer’s disease, corroborate or dispute the amyloid hypothesis, and demonstrate biomarker engagement in clinical drug trials. A host of tau positron emission tomography agents have been designed, validated, and tested in humans. Several agents have characteristics approaching the ideal imaging tracer with some limitations, primarily regarding off-target binding. Dozens of clinical trials evaluating imaging techniques and several pharmaceutical trials have begun to integrate tau imaging into their protocols.
A Lab Experiment on Committee Hearings: Preferences, Power, and a Quest for Information

In principle, committees hold hearings to gather and provide information to their principals, but some hearings are characterized as political showcases. This article investigates conditions that moderate committee members' incentives to hold an informative hearing by presenting a game-theoretic model and a lab experiment. Specifically, it studies when committees hold hearings and which types of hearing they hold by varying policy preferences of committee members and the principal and political gains from posturing. Findings provide new insights to how preferences and power distribution affect individuals' incentives to be informed when they make decisions as members of a committee in many contexts.
Robust Proximity Search for Balls Using Sublinear Space

Given a set of n disjoint balls $$b_1, \dots , b_n$$ in $$\mathrm{I\! R}^d$$ , we provide a data structure of near linear size that can answer $$(1\pm {\varepsilon })$$ -approximate kth-nearest neighbor queries on the balls in $$O(\log n + 1/{\varepsilon }^d)$$ time, where k and $${\varepsilon }$$ may be provided at query time. If k and $${\varepsilon }$$ are provided in advance, we provide a data structure to answer such queries requiring O(n / k) space; that is, the data structure requires sublinear space if k is sufficiently large.
Triggering soft bombs at the LHC

Very high multiplicity, spherically-symmetric distributions of soft particles, with p T ∼ few×100 MeV, may be a signature of strongly-coupled hidden valleys that exhibit long, efficient showering windows. With traditional triggers, such ‘soft bomb’ events closely resemble pile-up and are therefore only recorded with minimum bias triggers at a very low efficiency. We demonstrate a proof-of-concept for a high-level triggering strategy that efficiently separates soft bombs from pile-up by searching for a ‘belt of fire’: a high density band of hits on the innermost layer of the tracker. Seeding our proposed high-level trigger with existing jet, missing transverse energy or lepton hardware-level triggers, we show that net trigger efficiencies of order 10% are possible for bombs of mass several × 100 GeV. We also consider the special case that soft bombs are the result of an exotic decay of the 125 GeV Higgs. The fiducial rate for ‘Higgs bombs’ triggered in this manner is marginally higher than the rate achievable by triggering directly on a hard muon from associated Higgs production.
Multiscale Projective Coordinates via Persistent Cohomology of Sparse Filtrations

We present a framework which leverages the underlying topology of a data set, in order to produce appropriate coordinate representations. In particular, we show how to construct maps to real and complex projective spaces, given appropriate persistent cohomology classes. An initial map is obtained in two steps: First, the persistent cohomology of a sparse filtration is used to compute systems of transition functions for (real and complex) line bundles over neighborhoods of the data. Next, the transition functions are used to produce explicit classifying maps for the induced bundles. A framework for dimensionality reduction in projective space (Principal Projective Components) is also developed, aimed at decreasing the target dimension of the original map. Several examples are provided as well as theorems addressing choices in the construction.
On improving the performance with bounded continuous feedback laws

We present controller design methods to smoothen the discontinuity resulting from a piecewise linear control (PLC) law which was proposed to improve the convergence performance for systems with input constraints. The continuous control laws designed in this paper are explicit functions of the state and are easily implementable. We also show that the convergence performance can be further improved by using a saturated high gain feedback law. The efficiency of the proposed methods is illustrated with the PUMA 560 robot model.
Strength Training to Enhance Early Recovery after Hematopoietic Stem Cell Transplantation

Abstract Intensive cancer treatment followed by hematopoietic stem cell transplantation (HCT) results in moderate to severe fatigue and physical inactivity, leading to diminished functional ability. The purpose of this study was to determine the efficacy of an exercise intervention, strength training to enhance early recovery (STEER), on physical activity, fatigue, muscle strength, functional ability, and quality of life after HCT. This single-blind, randomized clinical trial compared strength training (n = 33) to usual care plus attention control with health education (UC + AC with HE) (n = 34). Subjects were stratified by type of transplantation and age. STEER consisted of a comprehensive program of progressive resistance introduced during hospitalization and continued for 6 weeks after hospital discharge. Fatigue, physical activity, muscle strength, functional ability, and quality of life were assessed before HCT hospital admission and after intervention completion. Data were analyzed using split-plot analysis of variance. Significant time × group interactions effects were noted for fatigue (P = .04). The STEER group reported improvement in fatigue from baseline to after intervention whereas the UC + AC with HE group reported worsened fatigue from baseline to after intervention. Time (P
The job ladder and its implications for earnings risk

Abstract This paper analyzes the ability of a job ladder framework to explain recent evidence on life-cycle earnings dynamics. Using administrative data, Guvenen et al. (2015) document several new facts about the distribution of earnings growth, most notably large negative skewness and high excess kurtosis, rejecting the frequently used log-normal framework. I show that these new facts can be well explained by a standard structural representation of a frictional labor market, a life-cycle version of the job ladder model, in combination with a simple human capital process. Furthermore, I identify endogenous search effort, risk aversion and wealth accumulation, and skill loss in unemployment as key model features that interact with the labor market friction to jointly reconcile the evidence.
Energy and cryoengineering

Abstract Various aspects of the energy problem are described from the standpoint of cryoengineering including energy systems, energy growth, and energy policy. An R & D taxonomy is developed which is then used to organize energy-related cryoengineering technology. Several of these technologies are discussed.
AC-Biased Shift Registers as Fabrication Process Benchmark Circuits and Flux Trapping Diagnostic Tool

We develop an ac-biased shift register introduced in our previous work (V. K. Semenov et al. , IEEE Trans. Appl. Supercond. , vol. 25, no. 3, 1301507, June 2015) into a benchmark circuit for evaluation of superconductor electronics fabrication technology. The developed testing technique allows for extracting margins of all individual cells in the shift register, which in turn makes it possible to estimate statistical distribution of Josephson junctions (JJs) in the circuit. We applied this approach to successfully test registers having 8-, 16-, 36-, and 202 thousand cells and, respectively, about 33-, 65-, 144-, and 809 thousand JJs. The circuits were fabricated at MIT Lincoln Laboratory, using a fully planarized process, 0.4-μm inductor linewidth and 1.33 × 106 cm−2 junction density. They are presently the largest operational superconducting SFQ circuits ever made. The developed technique distinguishes between “hard” defects (fabrication-related) and “soft” defects (measurement-related) and locates them in the circuit. The “soft” defects are specific to superconducting circuits and caused by magnetic flux trapping either inside the active cells or in the dedicated flux-trapping moats near the cells. The number and distribution of “soft” defects depend on the ambient magnetic field and vary with thermal cycling even if done in the same magnetic environment.
Assessing Managerial Ability: Implications for Corporate Governance

Abstract A manager's current and potential future employers are continually assessing her or his ability. Such assessment is a crucial component of corporate governance and this chapter provides an overview of the research on that aspect of governance. In particular, we review how assessment generates incentives (both good and bad), generates risks that must be faced by both managers and firms, and affects the contractual relationships between those parties in important ways. Assessment (or learning) proves a key perspective from which to study, evaluate, and possibly even regulate corporate governance. Moreover, because learning is a behavior notoriously subject to systematic biases, this perspective is a natural avenue through which to introduce behavioral and psychological insights into the study of corporate governance.
Autotuning GPU Kernels via Static and Predictive Analysis

Optimizing the performance of GPU kernels is challenging for both human programmers and code generators. For example, CUDA programmers must set thread and block parameters for a kernel, but might not have the intuition to make a good choice. Similarly, compilers can generate working code, but may miss tuning opportunities by not targeting GPU models or performing code transformations. Although empirical autotuning addresses some of these challenges, it requires extensive experimentation and search for optimal code variants. This research presents an approach for tuning CUDA kernels based on static analysis that considers fine-grained code structure and the specific GPU architecture features. Notably, our approach does not require any program runs in order to discover near-optimal parameter settings. We demonstrate the applicability of our approach in enabling code autotuners such as Orio to produce competitive code variants comparable with empirical-based methods, without the high cost of experiments.
Analysis and measurement of the transfer matrix of a 9-cell, 1.3-GHz superconducting cavity

Superconducting linacs are capable of producing intense, stable, high-quality electron beams that have found widespread applications in science and industry. The 9-cell, 1.3-GHz superconducting standing-wave accelerating rf cavity originally developed for ${e}^{+}/{e}^{\ensuremath{-}}$ linear-collider applications [B. Aunes, et al. Phys. Rev. ST Accel. Beams 3, 092001 (2000)] has been broadly employed in various superconducting-linac designs. In this paper we discuss the transfer matrix of such a cavity and present its measurement performed at the Fermilab Accelerator Science and Technology (FAST) facility. The experimental results are found to be in agreement with analytical calculations and numerical simulations.
Analysis of unprotected intersection left-turn conflicts based on naturalistic driving data

Analyzing and reconstructing driving scenarios is crucial for testing and evaluating highly automated vehicles (HAVs). This research analyzed left-turn / straight-driving conflicts at unprotected intersections by extracting actual vehicle motion data from a naturalistic driving database collected by the University of Michigan. Nearly 7,000 left turn across path — opposite direction (LTAP/OD) events involving heavy trucks and light vehicles were extracted and used to build a stochastic model of such LTAP/OD scenario, which is among the top priority light-vehicle pre-crash scenarios identified by National Highway Traffic Safety Administration (NHTSA). Statistical analysis showed that vehicle type is a significant factor, whereas the change of season seems to have limited influence on the statistical nature of the conflict. The results can be used to build testing environments for HAVs to simulate the LTAP/OD crash cases in a stochastic manner.
No simple dual to the causal holographic information

In AdS/CFT, the fine grained entropy of a boundary region is dual to the area of an extremal surface X in the bulk. It has been proposed that the area of a certain ‘causal surface’ C — i.e. the ‘causal holographic information’ (CHI) — corresponds to some coarse-grained entropy in the boundary theory. We construct two kinds of counterexamples that rule out various possible duals, using (1) vacuum rigidity and (2) thermal quenches. This includes the ‘one-point entropy’ proposed by Kelly and Wall, and a large class of related procedures. Also, any coarse-graining that fixes the geometry of the bulk ‘causal wedge’ bounded by C, fails to reproduce CHI. This is in sharp contrast to the holographic entanglement entropy, where the area of the extremal surface X measures the same information that is found in the ‘entanglement wedge’ bounded by X.
The impact of well-field configuration and permeability heterogeneity on contaminant mass removal and plume persistence

The purpose of this study is to investigate the effects of well-field hydraulics and permeability heterogeneity on mass-removal efficiency for systems comprising large groundwater contaminant plumes. A three-dimensional (3D) numerical model was used to simulate the impact of different well-field configurations on pump-and-treat mass removal for heterogeneous domains. The relationship between reduction in contaminant mass discharge (CMDR) and mass removal (MR) was used as the metric to examine remediation efficiency. The impacts of well-field configuration on mass removal behavior are attributed to mass-transfer constraints related to regions of low flow associated with the well field, which can be muted by the influence of permeability heterogeneity. These impacts are reflected in the associated CMDR-MR profiles. Systems whose CDMR-MR profiles are below the 1:1 relationship line are associated with more efficient well-field configurations. The impact of domain heterogeneity on mass-removal effectiveness was investigated in terms of both variance and correlation scale of the random permeability distributions and indexed by the CMDR-MR relationship. Data collected from pump-and-treat operations conducted in a section of the Tucson International Airport Area (TIAA) federal Superfund site were used as a case study. The comparison between simulated and measured site data supports the general validity of the numerical model, and results from the case study are consistent with the conclusions of the theoretical study. These results illustrate that the CMDR-MR relationship can be an effective way to quantify the impacts of different factors on mass-removal efficiency.
Missing data, imputation, and endogeneity

Abstract Bassmann (1957, 1959) introduced two-stage least squares (2SLS). In subsequent work, Basmann et al. (1971) investigated its finite sample performance. Here we build on this tradition focusing on the issue of 2SLS estimation of a structural model when data on the endogenous covariate is missing for some observations. Many such imputation techniques have been proposed in the literature. However, there is little guidance available for choosing among existing techniques, particularly when the covariate being imputed is endogenous. Moreover, because the finite sample bias of 2SLS is not monotonically decreasing in the degree of measurement accuracy, the most accurate imputation method is not necessarily the method that minimizes the bias of 2SLS. Instead, we explore imputation methods designed to increase the first-stage strength of the instrument(s), even if such methods entail lower imputation accuracy. We do so via simulations as well as with an application related to the medium-run effects of birth weight.
Equivariance through parameter-sharing

We propose to study equivariance in deep neural networks through parameter symmetries. In particular, given a group G that acts discretely on the input and output of a standard neural network layer ϕW : ℝM → ℝN, we show that ϕW is equivariant with respect to G-action iff G explains the symmetries of the network parameters W. Inspired by this observation, we then propose two parameter-sharing schemes to induce the desirable symmetry on W. Our procedure for tying the parameters achieves G-equivariance and, under some conditions on the action of G, it guarantees sensitivity to all other permutation groups outside G.
Snapshot of an Outpatient Supportive Care Center at a Comprehensive Cancer Center

Abstract Background: Integration of palliative care (PC) in oncology have been found to improve symptom distress, quality of life, and survival in patients with advanced cancer. Early integration is most appropriate in the outpatient setting. However, most PC services in the United States do not have an outpatient component. Our study aims to provide a snapshot of the type of patients and families who are referred to this novel setting for the delivery of early PC. Conclusion: Traditionally, PC has been delivered predominantly to patients with advanced disease and to aid in transition to end of life. In recent years, outpatient centers have dramatically changed the nature of PC work as in our snapshot, which shows that in addition to patients regarded as more traditional patients, such as those transitioning to end of life, there are now patients who come in very soon after arrival to a cancer center requiring specialized care to address a variety of symptom and educational needs, thus requiring adaptatio...
Single-sideband modulator for frequency domain multiplexing of superconducting qubit readout

We introduce and experimentally characterize a superconducting single-sideband modulator compatible with cryogenic microwave circuits and propose its use for frequency domain multiplexing of superconducting qubit readout. The monolithic double-balanced modulators that comprise the device are formed with purely reactive elements (capacitors and Josephson junction inductors) and require no microwave-frequency control tones. Microwave signals in the 4 to 8 GHz band, with power up to −85 dBm, are converted up or down in frequency by as much as 120 MHz. Spurious harmonics in the device can be suppressed by up to 25 dB for select probe and modulation frequencies.
Computational electromagnetics with discrete exterior calculus

A novel computational electromagnetic method developed with discrete exterior calculus (DEC) (M. Desbrun et al., arXiv:math/0508341) on simplicial mesh is presented. As is well known, differential forms can been used to recast Maxwell's equations in a more succinct fashion, which completely separate metric-free and metric-dependent components. Instead of dealing with vectorial field as finite difference method and finite element method (FEM), DEC studies electric and magnetic fields in discrete differential forms, i.e. their integrals over simplicial structures. In DEC, electric and magnetic fields are represented as cochains, which are vectors with finite length. Differential operators, such as curl and divergence, are replaced by discrete exterior derivative, which are highly sparse matrices only containing geometrical connection information with elements 0, 1 or −1. From Yee grid, the necessity and importance of a dual mesh or dual grid has been realized. In DEC, the dual mesh is constructed by connecting circumcenters of simplicial structures (triangles in 2D and tetrahedrons in 3D). With this circumcenter dual or Voronoi dual, the discrete Hodge star operators, which map from primal cochains to dual cochains, can be constructed as diagonal matrices. Effective dual volume is also introduced to incorporate material information into Hodge star operators. Then constitutive relations in an inhomogeneous medium can be described with these Hodge star operators. The case when circumcenters fall outside triangles or tetrahedrons is also considered and treated appropriately. The implementation of various boundary conditions is also illustrated.
Highlights from the Pierre Auger Observatory

The Pierre Auger Observatory is being used to observe the ultra‐high energy sky with unprecedented sensitivity. In this paper we describe the status of the Observatory, and the philosophy of the collaboration which aims to take advantage of the “hybrid” nature of the detector to reduce reliance on air shower simulations. We outline new results on the energy spectrum, mass composition and anisotropy, which are also covered in detail in other contributions to this conference.
Molecular chaperones of the Hsp70 family assist in the assembly of 20S proteasomes.

Abstract The eukaryotic 26S proteasome is a large protease comprised of two major sub assemblies, the 20S proteasome, or core particle (CP), and the 19S regulatory particle (RP). Assembly of the CP and RP is assisted by an expanding list of dedicated assembly factors. For the CP, this includes Ump1 and the heterodimeric Pba1–Pba2 and Pba3–Pba4 proteins. It is not known how many additional proteins that assist in proteasome biogenesis remain to be discovered. Here, we demonstrate that two members of the Hsp70 family in yeast, Ssa1 and Ssa2, play a direct role in CP assembly. Ssa1 and Ssa2 interact genetically and physically with proteasomal components. Specifically, they associate tightly with known CP assembly intermediates, but not with fully assembled CP, through an extensive purification protocol. And, in yeast lacking both Ssa1 and Ssa2, specific defects in CP assembly are observed.
Energy budget constraints on climate sensitivity in light of inconstant climate feedbacks

Estimates of equilibrium climate sensitivity differ depending on the method of calculation. This study shows estimates based on the historical energy budget are low as climate feedbacks vary with time and the bias depends on the sensitivity of the system. Global energy budget constraints1,2,3 suggest an equilibrium climate sensitivity around 2 °C, which is lower than estimates from palaeoclimate reconstructions4, process-based observational analyses5,6,7, and global climate model simulations8,9. A key assumption is that the climate sensitivity inferred today also applies to the distant future. Yet, global climate models robustly show that feedbacks vary over time, with a strong tendency for climate sensitivity to increase as equilibrium is approached9,10,11,12,13,14,15,16,17,18. Here I consider the implications of inconstant climate feedbacks for energy budget constraints on climate sensitivity. I find that the long-term value of climate sensitivity is, on average, 26% above that inferred during transient warming within global climate models, with a larger discrepancy when climate sensitivity is high. Moreover, model values of climate sensitivity inferred during transient warming are found to be consistent with energy budget observations1,2,3, indicating that the models are not overly sensitive. Using model-based estimates of how climate feedbacks will change in the future, in conjunction with recent energy budget constraints1,19, produces a current best estimate of equilibrium climate sensitivity of 2.9 °C (1.7–7.1 °C, 90% confidence). These findings suggest that climate sensitivity estimated from global energy budget constraints is in agreement with values derived from other methods and simulated by global climate models.
Evaluating methods of correcting for multiple comparisons implemented in SPM12 in social neuroscience fMRI studies: an example from moral psychology

In fMRI research, the goal of correcting for multiple comparisons is to identify areas of activity that reflect true effects, and thus would be expected to replicate in future studies. Finding an appropriate balance between trying to minimize false positives (Type I error) while not being too stringent and omitting true effects (Type II error) can be challenging. Furthermore, the advantages and disadvantages of these types of errors may differ for different areas of study. In many areas of social neuroscience that involve complex processes and considerable individual differences, such as the study of moral judgment, effects are typically smaller and statistical power weaker, leading to the suggestion that less stringent corrections that allow for more sensitivity may be beneficial and also result in more false positives. Using moral judgment fMRI data, we evaluated four commonly used methods for multiple comparison correction implemented in Statistical Parametric Mapping 12 by examining which method produced the most precise overlap with results from a meta-analysis of relevant studies and with results from nonparametric permutation analyses. We found that voxelwise thresholding with familywise error correction based on Random Field Theory provides a more precise overlap (i.e., without omitting too few regions or encompassing too many additional regions) than either clusterwise thresholding, Bonferroni correction, or false discovery rate correction methods.
Alcohol's effects on pair bond maintenance in male prairie voles

Alcohol abuse can have devastating effects on social relationships. In particular, discrepant patterns of heavy alcohol consumption are associated with increased rates of separation and divorce. Previous studies have attempted to model these effects of alcohol using socially monogamous prairie voles. These studies showed that alcohol consumption can inhibit the formation of pair bonds in this species. While these findings indicated that alcohol’s effects on social attachments can involve biological mechanisms, the formation of pair bonds does not properly model long-term human attachments. To overcome this caveat, the current study explored whether discordant or concordant alcohol consumption between individuals within established pairs affects maintenance of pair bonds in male prairie voles. Male and female prairie voles were allowed to form a pair bond for one week. Following this one-week cohabitation period, males received access to 10% continuous ethanol; meanwhile, their female partners had access to either alcohol and water or just water. When there was a discrepancy in alcohol consumption, male prairie voles showed a decrease in partner preference. Conversely, when concordant drinking occurred, males showed no inhibition in partner preference. Further analysis revealed a decrease in oxytocin immunoreactivity in the paraventricular nucleus of alcohol-exposed males that was independent of the drinking status of their female partners. On the other hand, only discordant alcohol consumption resulted in an increase of FosB immunoreactivity in the periaqueductal gray of male voles, a finding suggesting a potential involvement of this brain region in the effects of alcohol on maintenance of pair bonds. Our studies provide the first evidence that alcohol has effects on established pair bonds and that partner drinking status plays a large role on these effects.
Responding to Shipment Delays: The Roles of Operational Flexibility & Lead‐Time Visibility

We consider inventory management of a firm that orders periodically from a distantly located supplier and faces random delays in shipment. We analyze various response strategies that the firm may employ to mitigate the risk of demand–supply mismatch resulting from shipment delays. We categorize these strategies along two dimensions: operational flexibility, defined by the flexible resource employed; and lead-time visibility, defined by the availability of information on shipment delays. For each of the response strategies, we provide analytical characterization of the optimal inventory policy. By comparing the optimal policies across response strategies, we offer insights into the effect of operational flexibility and lead-time visibility on firm's inventory performance. Using an extensive set of numerically solved examples, we provide cost comparison across these strategies—we show that while the operational flexibility mitigates the adverse effect of long lead-times, the lead-time visibility provides protection from lead-time uncertainty. Further, operational flexibility and lead-time visibility enhance each other's values, hence must be employed together to gain their full benefits.
On the primary spacing and microsegregation of cellular dendrites in laser deposited Ni–Nb alloys

In this study, an alloy phase-field model is used to simulate solidification microstructures at different locations within a solidified molten pool. The temperature gradient $G$ and the solidification velocity $V$ are obtained from a macroscopic heat transfer finite element simulation and provided as input to the phase-field model. The effects of laser beam speed and the location within the melt pool on the primary arm spacing and on the extent of Nb partitioning at the cell tips are investigated. Simulated steady-state primary spacings are compared with power law and geometrical models. Cell tip compositions are compared to a dendrite growth model. The extent of non-equilibrium interface partitioning of the phase-field model is investigated. Although the phase-field model has an anti-trapping solute flux term meant to maintain local interface equilibrium, we have found that during simulations it was insufficient at maintaining equilibrium. This is due to the fact that the additive manufacturing solidification conditions fall well outside the allowed limits of this flux term.
An incremental sampling-based algorithm for stochastic optimal control

In this paper, we consider a class of continuous-time, continuous-space stochastic optimal control problems. Using the Markov chain approximation method and recent advances in sampling-based algorithms for deterministic path planning, we propose a novel algorithm called the incremental Markov Decision Process to incrementally compute control policies that approximate arbitrarily well an optimal policy in terms of the expected cost. The main idea behind the algorithm is to generate a sequence of finite discretizations of the original problem through random sampling of the state space. At each iteration, the discretized problem is a Markov Decision Process that serves as an incrementally refined model of the original problem. We show that with probability one, i the sequence of the optimal value functions for each of the discretized problems converges uniformly to the optimal value function of the original stochastic optimal control problem, and ii the original optimal value function can be computed efficiently in an incremental manner using asynchronous value iterations. Thus, the proposed algorithm provides an anytime approach to the computation of optimal control policies of the continuous problem. The effectiveness of the proposed approach is demonstrated on motion planning and control problems in cluttered environments in the presence of process noise.
Financial Markets' Views about the Euro–Swiss Franc Floor

Exchange rates and option prices incorporate market participants' views about the credibility and the effects of exchange rate targets. I present a model to determine exchange rates under policy targets that can be used to price options. The model is estimated with Euro–Swiss Franc exchange rate and options price data. In the first few months of the minimum exchange rate policy, the implied survival probability of the policy for a 3-month horizon was typically less than 75%. Over time, the credibility increased and this probability reached 95% in August 2014.
Number of Recent Stressful Life Events and Incident Cardiovascular Disease: Moderation by Lifetime Depressive Disorder

Abstract Objective We investigated whether number of recent stressful life events is associated with incident cardiovascular disease (CVD) and whether this relationship is stronger in adults with a history of clinical depression. Methods Prospective data from 28,583 U.S. adults (mean age = 45 years) initially free of CVD who participated in Waves 1 (2001–2002) and 2 (2004–2005) of the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) were examined. Number of past-year stressful life events (Wave 1), lifetime depressive disorder (Wave 1), and incident CVD (Wave 2) were determined by structured interviews. Results There were 1069 cases of incident CVD. Each additional stressful life event was associated with a 15% increased odds of incident CVD [Odds Ratio ( OR ) = 1.15, 95% Confidence Interval ( CI ): 1.11, 1.19]. As hypothesized, a stressful life events by lifetime depressive disorder interaction was detected ( P = 0.003). Stratified analyses indicated that stressful life events had a stronger association with incident CVD among adults with ( OR = 1.18, 95% CI : 1.10, 1.27, n = 4908) versus without ( OR = 1.10, 95% CI : 1.07, 1.14, n = 23,675) a lifetime depressive disorder. Conclusion Our findings suggest that a greater number of recent stressful life events elevate the risk of new-onset CVD and that this risk is potentiated in adults with a history of clinical depression.