cssi/SciSciGPT-SciSciNet huggingface dataset:
Rare jarosite detection in crism imagery by non-parametric Bayesian clustering

Discovery of rare phases on Mars is important as they serve as indicators of the geochemistry of the Mars surface and facilitate understanding of mineral assemblages within a geologic unit. Identification of rare minerals in high spatial and spectral resolution Compact Reconnaissance Imaging Spectrometer for Mars (CRISM) visible/shortwave infrared (VSWIR) images has been a challenge due to the presence of both additive and multiplicative noise and other artifacts, affecting all collected images, in addition to the limited spatial extent of regions hosting these minerals. In an effort to automate this task we evaluate various clustering algorithms using the detection of rare jarosite, associated with spectrally similar minerals in CRISM imagery, as a case study. We compare nonparametric Bayesian and standard clustering algorithms and show that a recently developed doubly nonparametric Bayesian model could be effective for this task.
Multidimensional Household Food Security Measurement in Rural Zambia

ABSTRACTFood security is recognised as a multifaceted condition of complex causality, and given its broad definition, it is no surprise that food security eludes precise measurement. This study considers there to be three components of household food security (quantity, quality and stability), and attempts to address the “concept-to-measurement” gap in food security by building an index that spans these three dimensions. A panel data set from rural Zambia is used for descriptive analysis of food security indicators in 2001, 2004 and 2008. A multidimensional index of food security for rural Zambia is then developed using principal component analysis. We use this index to explore the spatial patterns of food security over time and to assess correlates of food security and impacts of climate shocks. Results indicate that both rainfall and temperature have a significant impact on a household’s food security score, though not for each individual component of the index. The paper concludes with a discussion of ...
Assessing the Accuracy of a Wrist Motion Tracking Method for Counting Bites Across Demographic and Food Variables

This paper describes a study to test the accuracy of a method that tracks wrist motion during eating to detect and count bites. The purpose was to assess its accuracy across demographic (age, gender, and ethnicity) and bite (utensil, container, hand used, and food type) variables. Data were collected in a cafeteria under normal eating conditions. A total of 271 participants ate a single meal while wearing a watch-like device to track their wrist motion. A video was simultaneously recorded of each participant and subsequently reviewed to determine the ground truth times of bites. Bite times were operationally defined as the moment when food or beverage was placed into the mouth. Food and beverage choices were not scripted or restricted. Participants were seated in groups of 2–4 and were encouraged to eat naturally. A total of 24 088 bites of 374 different food and beverage items were consumed. Overall the method for automatically detecting bites had a sensitivity of 75% with a positive predictive value of 89%. A range of 62–86% sensitivity was found across demographic variables with slower eating rates trending toward higher sensitivity. Variations in sensitivity due to food type showed a modest correlation with the total wrist motion during the bite, possibly due to an increase in head-toward-plate motion and decrease in hand-toward-mouth motion for some food types. Overall, the findings provide the largest evidence to date that the method produces a reliable automated measure of intake during unrestricted eating.
A selective encryption approach to fine-grained access control for p2p file sharing

Peer-to-peer (P2P) systems offer great resilience for distributed file sharing services. As the use of these services has grown, the need for fine-grained access control (FGAC) has emerged. Existing access control frameworks for P2P file sharing use an all-or-nothing approach that is inadequate for sensitive content that may be shared by multiple users. On the other hand, it would be desirable to provide a flexible mechanism that allowed content owners to grant access to portions of files independently. In this work, we propose a FGAC mechanism based on selective encryption techniques. Using this approach, the owner of a file specifies access control policies over various byte ranges in the file. The separate byte ranges are then encrypted with different keys. Users of the file only receive the keys encrypting the ranges they are authorized to access. Our approach includes a key distribution scheme based on a public key infrastructure (PKI) and access control vectors. We have integrated our FGAC mechanism with the Chord structured P2P network. In the work we discuss relevant issues concerning the implementation and integration with Chord and present the performance results for our prototype implementation.
Is American Pet Health Care (Also) Uniquely Inefficient

We document four similarities between American human healthcare and American pet care: (i) rapid growth in spending as a share of GDP over the last two decades; (ii) strong income-spending gradient; (iii) rapid growth in the employment of healthcare providers; and (iv) similar propensity for high spending at the end of life. We speculate about possible implications of these similar patterns in two sectors that share many common features but differ markedly in institutional features, such as the prevalence of insurance and of public sector involvement.
On infinitesimal Strebel points

In this paper, we prove that if $X$ is a Riemann surface of infinite analytic type and $[\mu]_T$ is any element of Teichmuller space, then there exists $\mu _{1} \in [\mu]_{T}$ so that $[\mu_1]_{B}$ is an infinitesimal Strebel point.
THE EDUCATION OF AN ARTHROPLASTY SURGEON: “IN MY MIND'S EYE”

Aging of Population – Baby Boomers, Millennials, Generation X Burden of TJR in USA – Estimated ∼ 4 million US adults currently live with TKR (4.2% of the population aged 50 or older) – Females (4.8%); Males (3.4%) Prevalence increased with increasing age Estimated lifetime risk of primary TKR – 7.0% for males, 9.5% for females Changes in Resident Education – Resident Work Hour Restrictions Changes in Fellowship Education – Presumed shortage of fellowship trained arthroplasty surgeons, BWH Data Changes in Healthcare Paradigm – Hospital – Margin/Mission, Efficiency, Contribution Margin, Ambulatory Centers Academic/Community Practice – Revenue Driven, Diminished Education/Research Incentive Arthroplasty Education – Time Restraints, Surgical Volume, Exposure to Options – CR/CS TKR, Revision TKR/THR, Femoral Cementing in THR “Mind9s EYE” CME Training/Evidence-Based Medicine Learn Basic Principles of Arthroplasty “Be Neither the First nor Last to Embrace a New Technology” “Always Act in the Best Interests of Your Patient”
Asymptotic performance analysis of majority sentiment detection in Online Social Networks

We analyze the problem of majority sentiment detection in Online Social Networks (OSN), and relate the detection error probability to the underlying graph of the OSN. Modeling the underlying social network as an Ising Markov random field prior based on a given graph, we show that in the case of the empty graph (independent sentiments) and the chain graph, the detection is always inaccurate, even when the number of users grow to infinity. In the case of the complete graph, the detection is inaccurate if the connection strength is below a certain critical value, while it is asymptotically accurate if the strength is above that critical value, which is analogous to the phase transition phenomenon in statistical physics.
Jet Diffusion in Liquid of Greater Density

Investigations show how density and velocity along axis of jet depend on initial density difference between jet and surrounding fluid and on velocity of jet when it issues from nozzle; description of experimental setup; results apply to case of sewage disposal in marine environment.
Interest on reserves, settlement, and the effectiveness of monetary policy

Abstract Over the last several years, the Federal Reserve has conducted a series of large scale asset purchases. The effectiveness of these purchases is dependent on the monetary transmission mechanism. Former Federal Reserve chairman Ben Bernanke argued that large scale asset purchases are effective because they induce portfolio reallocations that ultimately lead to changes in economic activity. Despite these claims, a large fraction of the expansion of the monetary base is held as excess reserves by commercial banks. Concurrent with the large scale asset purchases, the Federal Reserve began paying interest on reserves and enacted changes in its Payment System Risk policy. In this paper, I estimate the effect of the payment of interest on reserves (as well as other payment policy changes) on the demand for daylight overdrafts through Fedwire. Since Fedwire provides overdrafts at a fixed price, any fluctuation in the quantity of overdrafts is a change in demand. A reduction in overdrafts corresponds with an increase in the demand for reserves. I show that the payment of interest on reserves has had a negative and statistically significant effect on daylight overdrafts. Furthermore, I interpret these results in light of recent theoretical work. I argue that by paying an interest rate on excess reserves that is higher than comparable short term rates, the Federal Reserve likely hindered the portfolio reallocation channel outlined by Bernanke. Thus, the payment of interest on reserves increased payment processing efficiency, potentially at the expense of limiting the ability of monetary policy to influence economic activity.
Partitioning the effects of mating and nuptial feeding on the microbiome in gift‐giving insects

Summary Mating is a ubiquitous social interaction with the potential to influence the microbiome by facilitating transmission, modifying host physiology, and in species where males donate nuptial gifts to females, altering diet. We manipulated mating and nuptial gift consumption in two insects that differ in nuptial gift size, the Mormon cricket Anabrus simplex and the decorated cricket Gryllodes sigillatus, with the expectation that larger gifts are more likely to affect the gut microbiome. Surprisingly, mating, but not nuptial gift consumption, affected the structure of bacterial communities in the gut, and only in Mormon crickets. The change in structure was due to a precipitous drop in the abundance of lactic-acid bacteria in unmated females, a taxon known for their beneficial effects on nutrition and immunity. Mating did not affect phenoloxidase or lysozyme-like antibacterial activity in either species, suggesting that any physiological response to mating on host-microbe interactions is decoupled from systemic immunity. Protein supplementation also did not affect the gut microbiome in decorated crickets, suggesting that insensitivity of gut microbes to dietary protein could contribute to the lack of an effect of nuptial gift consumption. Our study provides experimental evidence that sexual interactions can affect the microbiome and suggests mating can promote beneficial gut bacteria.
Contribución al conocimiento de los Acanthosomatidae (Hemiptera: Heteroptera) de la Región de Magallanes, con descripción de una nueva especie

Se describe Planois smaug sp. nov. de Isla Navarino, Region de Magallanes, y se entrega una lista actualizada de los Acantosomatidos de la Region de Magallanes, indicando su distribucion por provincias. Se anade una clave de identificacion para las especies de la familia presentes en Magallanes. Abstract Planois smaug sp. nov. is described from Navarino Island, Magallanes Region, Chile. An updated checklist of the Acanthosomatidae of Magallanes is provided, including province distributions. A key to de identification of Magallanes acanthosomatids is provided.
Information Content Analysis for Selection of Optimal JWST Observing Modes for Transiting Exoplanet Atmospheres

The James Webb Space Telescope (JWST) is nearing its launch date of 2018, and is expected to revolutionize our knowledge of exoplanet atmospheres. In order to specifically identify which observing modes will be most useful for characterizing a diverse range of exoplanetary atmospheres, we use an information content (IC) based approach commonly used in the studies of solar system atmospheres. We develop a system based upon these IC methods to trace the instrumental and atmospheric model phase space in order to identify which observing modes are best suited for particular classes of planets, focusing on transmission spectra. Specifically, the atmospheric parameter space we cover is T = 600–1800 K, C/O = 0.55–1, [M/H] = 1–100 × Solar for an R = 1.39 R J , M = 0.59 M J planet orbiting a WASP-62-like star. We also explore the influence of a simplified opaque gray cloud on the IC. We find that obtaining broader wavelength coverage over multiple modes is preferred over higher precision in a single mode given the same amount of observing time. Regardless of the planet temperature and composition, the best modes for constraining terminator temperatures, C/O ratios, and metallicity are NIRISS SOSS+NIRSpec G395. If the target's host star is dim enough such that the NIRSpec prism is applicable, then it can be used instead of NIRISS SOSS+NIRSpec G395. Lastly, observations that use more than two modes should be carefully analyzed because sometimes the addition of a third mode results in no gain of information. In these cases, higher precision in the original two modes is favorable.
Allostery and Hysteresis Are Coupled in Human UDP-Glucose Dehydrogenase

Human UDP-glucose dehydrogenase (hUGDH) is regulated by an atypical allosteric mechanism in which the feedback inhibitor UDP-xylose (UDP-Xyl) competes with the substrate for the active site. Binding of UDP-Xyl triggers the T131-loop/α6 allosteric switch, which converts the hexameric structure of hUGDH into an inactive, horseshoe-shaped complex (EΩ). This allosteric transition buries residue A136 in the protein core to produce a subunit interface that favors the EΩ structure. Here we use a methionine substitution to prevent the burial of A136 and trap the T131-loop/α6 switch in the active conformation. We show that hUGDHA136M does not exhibit substrate cooperativity, which is strong evidence that the methionine substitution prevents the formation of the low-UDP-Glc-affinity EΩ state. In addition, the inhibitor affinity of hUGDHA136M is reduced 14-fold, which most likely represents the Ki for competitive inhibition in the absence of the allosteric transition to the higher-affinity EΩ state. hUGDH also displ...
Alloy*: a general-purpose higher-order relational constraint solver

The last decade has seen a dramatic growth in the use of constraint solvers as a computational mechanism, not only for analysis of software, but also at runtime. Solvers are available for a variety of logics but are generally restricted to first-order formulas. Some tasks, however, most notably those involving synthesis, are inherently higher order; these are typically handled by embedding a first-order solver (such as a SAT or SMT solver) in a domain-specific algorithm. Using strategies similar to those used in such algorithms, we show how to extend a first-order solver (in this case Kodkod, a model finder for relational logic used as the engine of the Alloy Analyzer) so that it can handle quantifications over higher-order structures. The resulting solver is sufficiently general that it can be applied to a range of problems; it is higher order, so that it can be applied directly, without embedding in another algorithm; and it performs well enough to be competitive with specialized tools. Just as the identification of first-order solvers as reusable backends advanced the performance of specialized tools and simplified their architecture, factoring out higher-order solvers may bring similar benefits to a new class of tools.
Hybrid Simulations of Wave Propagation and Ion Cyclotron Heating in the Expanding Solar Wind

We present results from hybrid (particle ions, fluid electrons) simulations of the evolution of Alfven waves close to the ion cyclotron frequency in the solar wind, which take into account the basic properties of the background solar wind flow, i.e., the spherical expansion and the consequent decrease in magnetic field and cyclotron frequency with increasing distance from the Sun. We follow the evolution of a plasma parcel in a frame of reference moving with the solar wind using a 1D expanding box hybrid model; use of the hybrid model yields a fully self-consistent treatment of the resonant cyclotron wave-particle interaction. This model is related to a previous MHD model (Velli et al. 1992), which allows the use of a simple Cartesian geometry with periodic boundary conditions. The use of stretched expanding coordinates in directions transverse to the mean radial solar wind flow naturally introduces an anisotropic damping effect on velocity and magnetic field. We present results for the case of a single circularly polarized Alfven wave propagating radially outward. Initially, the wave is below the cyclotron frequency for both the alpha partcles and protons. As the wind expands, the wave frequency (as seen in the solar wind frame) decreases more slowly than the cyclotron frequencies and the wave comes into resonance. With only protons, heating occurs as the wave frequency approaches the proton cyclotron frequency. With both alphas and protons, the alphas, which come into resonance first, are observed to be preferentially heated and accelerated.
Orbits of finite solvable groups on characters

We prove that if a solvable group A acts coprimely on a solvable group G, then A has a “large” orbit in its corresponding action on the set of ordinary complex irreducible characters of G. This extends (at the cost of a weaker bound) a 2005 result of A. Moreto who obtained such a bound in case that A is a p-group.
The U-shape of Over-education? Human Capital Dynamics & Occupational Mobility over the Lifecycle

This paper analyzes the relationship between age and the skill requirements of jobs performed by workers. I document that the proportion of college degree holders working in occupations that do not require a college degree is U-shaped over the life cycle and that there is a rise in transitions to non-college jobs among prime age college workers. The downward trend at initial stages of the life cycle is consistent with workhorse models of labor mobility, however, the rising trend at middle stages of the career is not. Such movements down the occupation ladder are also accompanied by average wage losses of 10% from the previous year. I develop an equilibrium model of frictional occupation matching featuring skill accumulation and depreciation along with worker and firm heterogeneity that can match the life cycle profile of downward occupational mobility. The model shows that skill depreciation is the key driver of transitions to low skill jobs with age. Using the model, I simulate the impact of different types of structural change in the labor market and find that the welfare consequences of long term changes depend on the interaction of the life cycle and human capital investment dimension.
The Yang-Mills measure in the Kauffman bracket skein module

For each closed, orientable surface \(\Sigma_g\), we construct a local, diffeomorphism invariant trace on the Kauffman bracket skein module \(K_t(\Sigma_g \times I)\). The trace is defined when |t| is neither 0 nor 1, and at certain roots of unity. At t = − 1, the trace is integration against the symplectic measure on the SU(2) character variety of the fundamental group of \(\Sigma_g\).
Markov switching in exchange rate models: will more regimes help?

This paper examines the performance of Markov switching models of the exchange rate using a data-driven approach to determine the number of regimes rather than simply assuming two states. The analysis is conducted for the British pound, Canadian dollar, and Japanese yen exchange rates against the US dollar over the last 30 years with alternative specifications including a simple segmented trends model and Markov switching autoregressive models with monetary fundamentals. A noteworthy finding is that the number of regimes that minimizes mean square forecast errors tends to correspond to the number of regimes selected by Bayesian information criteria (but not Markov-switching-specific information criteria). For the monetary models, the number of regimes that minimizes forecast errors also tends to correspond to the most parsimonious model with well-behaved residuals. Although allowing for more regimes yields forecasting improvement over single- or two-regime models, the Markov switching model is still unable to outperform a random walk. This suggests that exchange rate models need to allow for novel, as opposed to repetitive or predetermined, structural change.
Adaptive non-uniform compressive sampling for time-varying signals

In this paper, adaptive non-uniform compressive sampling (ANCS) of time-varying signals, which are sparse in a proper basis, is introduced. ANCS employs the measurements of previous time steps to distribute the sensing energy among coefficients more intelligently. To this aim, a Bayesian inference method is proposed that does not require any prior knowledge of importance levels of coefficients or sparsity of the signal. Our numerical simulations show that ANCS is able to achieve the desired non-uniform recovery of the signal. Moreover, if the signal is sparse in canonical basis, ANCS can reduce the number of required measurements significantly.
Subrogation and the Theory of Insurance When Suits Can Be Brought for Losses Suffered

The theory of insurance is considered here when an insured individual may be able to sue another party for the losses that the insured suffered—and thus when an insured has a potential source of compensation in addition to insurance coverage. Insurance policies reflect this possibility through so-called subrogation provisions that give insurers the right to step into the shoes of insureds and to bring suits against injurers. In a basic case, the optimal subrogation provisions involve full retention by the insurer of the proceeds from a successful suit and the pursuit of all positive expected value suits. This eliminates litigation risks for insureds and results in lower premiums—financed by the litigation income of insurers, including from suits that insureds would not otherwise have brought. Moreover, optimal subrogation provisions are characterized in the presence of moral hazard, administrative costs, and non-monetary losses and it is demonstrated that optimal provisions entail sharing litigation proceeds with insureds in the first two cases but not when losses are non-monetary.
VFP: a virtual switch platform for host sdn in the public cloud

Many modern scalable cloud networking architectures rely on host networking for implementing VM network policy - e.g. tunneling for virtual networks, NAT for load balancing, stateful ACLs, QoS, and more. We present the Virtual Filtering Platform (VFP) - a programmable virtual switch that powers Microsoft Azure, a large public cloud, and provides this policy. We define several major goals for a programmable virtual switch based on our operational experiences, including support for multiple independent network controllers, policy based on connections rather than only on packets, efficient caching and classification algorithms for performance, and efficient offload of flow policy to programmable NICs, and demonstrate how VFP achieves these goals. VFP has been deployed on <1M hosts running IaaS and PaaS workloads for over 4 years. We present the design of VFP and its API, its flow language and compiler used for flow processing, performance results, and experiences deploying and using VFP in Azure over several years.
Microglia activation is essential for BMP7-mediated retinal reactive gliosis

Our previous studies have shown that BMP7 is able to trigger activation of retinal macroglia. However, these studies showed the responsiveness of Muller glial cells and retinal astrocytes in vitro was attenuated in comparison to those in vivo, indicating other retinal cell types may be mediating the response of the macroglial cells to BMP7. In this study, we test the hypothesis that BMP7-mediated gliosis is the result of inflammatory signaling from retinal microglia. Adult mice were injected intravitreally with BMP7 and eyes harvested 1, 3, or 7 days postinjection. Some mice were treated with PLX5622 (PLX) to ablate microglia and were subsequently injected with control or BMP7. Processed tissue was analyzed via immunofluorescence, RT-qPCR, or ELISA. In addition, cultures of retinal microglia were treated with vehicle, lipopolysaccharide, or BMP7 to determine the effects of BMP7-isolated cells. Mice injected with BMP7 showed regulation of various inflammatory markers at the RNA level, as well as changes in microglial morphology. Isolated retinal microglia also showed an upregulation of BMP-signaling components following treatment. In vitro treatment of retinal astrocytes with conditioned media from activated microglia upregulated RNA levels of gliosis markers. In the absence of microglia, the mouse retina showed a subdued gliosis and inflammatory response when exposed to BMP7. Gliosis resulting from BMP7 is mediated through an inflammatory response from retinal microglia.
A Blocked Linear Method for Optimizing Large Parameter Sets in Variational Monte Carlo

We present a modification to variational Monte Carlo’s linear method optimization scheme that addresses a critical memory bottleneck while maintaining compatibility with both the traditional ground state variational principle and our recently introduced variational principle for excited states. For wave function ansatzes with tens of thousands of variables, our modification reduces the required memory per parallel process from tens of gigabytes to hundreds of megabytes, making the methodology a much better fit for modern supercomputer architectures in which data communication and per-process memory consumption are primary concerns. We verify the efficacy of the new optimization scheme in small molecule tests involving both the Hilbert space Jastrow antisymmetric geminal power ansatz and real space multi-Slater Jastrow expansions. Satisfied with its performance, we have added the optimizer to the QMCPACK software package, with which we test a systematically convergent, nonperturbative approach to excitatio...
Hierarchical latent dictionaries for models of brain activation

In this work, we propose a hierarchical latent dictionary approach to estimate the timevarying mean and covariance of a process for which we have only limited noisy samples. We fully leverage the limited sample size and redundancy in sensor measurements by transferring knowledge through a hierarchy of lower dimensional latent processes. As a case study, we utilize Magnetoencephalography (MEG) recordings of brain activity to identify the word being viewed by a human subject. Specically, we identify the word category for a single noisy MEG recording, when only given limited noisy samples on which to train.
Discovering charge density functionals and structure-property relationships with PROPhet: A general framework for coupling machine learning and first-principles methods.

Modern ab initio methods have rapidly increased our understanding of solid state materials properties, chemical reactions, and the quantum interactions between atoms. However, poor scaling often renders direct ab initio calculations intractable for large or complex systems. There are two obvious avenues through which to remedy this problem: (i) develop new, less expensive methods to calculate system properties, or (ii) make existing methods faster. This paper describes an open source framework designed to pursue both of these avenues. PROPhet (short for PROPerty Prophet) utilizes machine learning techniques to find complex, non-linear mappings between sets of material or system properties. The result is a single code capable of learning analytical potentials, non-linear density functionals, and other structure-property or property-property relationships. These capabilities enable highly accurate mesoscopic simulations, facilitate computation of expensive properties, and enable the development of predictive models for systematic materials design and optimization. This work explores the coupling of machine learning to ab initio methods through means both familiar (e.g., the creation of various potentials and energy functionals) and less familiar (e.g., the creation of density functionals for arbitrary properties), serving both to demonstrate PROPhet’s ability to create exciting post-processing analysis tools and to open the door to improving ab initio methods themselves with these powerful machine learning techniques.
Distributed Particle Filtering via Optimal Fusion of Gaussian Mixtures

We propose a distributed particle filtering algorithm based on an optimal fusion rule for local posteriors. We implement the optimal fusion rule in a distributed and iterative fashion via an average consensus algorithm. We approximate local posteriors as Gaussian mixtures and fuse Gaussian mixtures through importance sampling. We prove that under certain conditions the proposed distributed particle filtering algorithm converges in probability to a global posterior locally available at each sensor in the network. Numerical examples are presented to demonstrate the performance advantages of the proposed method in comparison with other distributed particle filtering algorithms.
THE OUTPATIENT THA: A PARADIGM CHANGE – OPPOSES

An outpatient total hip arthroplasty (THA) will be defined as a THA performed at an ambulatory care facility where the patient is discharged the same day as the procedure. Such procedures are being done in the United States and the hypothesis is that a “same day” THA will lead to reduced costs and improved outcomes. However, there are no appropriately powered randomised controlled trials evaluating outcomes in this group of patients to support this hypothesis. It appears that a “same day” THA is here to stay. Therefore, the selection criteria for patients that undergo the procedure needs to be carefully defined. The safety of this regimen needs to be confirmed. In an evaluation of the NSQIP database, Otero et al. compared outcomes in patients discharged on POD 0 and POD 1 and noted that THA patients in the POD 0 group had increased rates of complications. Risk factors for complications included age >70, smoking, COPD, CAD and hematocrit less than 36. In addition, the patients discharged on POD 0 had higher rates of diabetes, steroid use and lower hematocrit. Clearly, the selection criteria for this procedure needs to be defined. In two separate studies, Goyal et al. and Dorr et al. noted that approximately 25% of patients were unable to leave the hospital on POD 0 usually because of nausea and/or hypertension. Issues to consider before developing a same day discharge program include: 1) Is the patient healthy enough to go home the same day as the surgery?; 2) Does the patient live close enough to the hospital to be discharged the same day?; 3) Can the family provide the appropriate care for the patient at home?; 4) Is it really better for the patient or just better for the surgeon? If a surgeon embarks on a same day discharge program, rigorous selection criteria must be instituted and followed. In addition, the patient must have free choice with respect to a same day discharge versus a 24-hour stay.
Brexit and its economic consequences.

As the formal process of Brexit has already started, there is much uncertainty about Brexit's impacts on Britain's social, political and economic future. This paper examines the economic impact. After briefly discussing some significant EU treaties that serve as the background materials, it presents the key arguments advocated by the leave and remain camps. The economic impact depends critically on the negotiation outcomes. Aside from the debate on the divorce costs, there are numerous issues that must be negotiated, such as immigration, trade in goods, services, agriculture, fisheries and financial regulations. We discuss various scenarios of possible new trade regimes, resulting in different impacts on the UK economy. With each side having its bargaining chips to play, the trade‐offs between “give and take” in the negotiation game are analysed. Considering various strategic options, this paper urges rationality and cooperation, especially weighing both sides’ entwined economic interests, in addition to their mutual security, defence, environmental and world concerns. The potential gains and losses in the event where the UK contemplates new trade arrangements with the non‐EU countries are analysed in the Appendix.
Renal Osteodystrophy or Kidney-Induced Osteoporosis?

Chronic kidney disease (CKD) affects nearly 10% of the population. The incidence of fractures in population studies demonstrate an increase with worsening stages of kidney disease suggesting specific CKD related causes of fracture. The increase in fractures with CKD most likely represents disordered bone quality due to the abnormal bone remodeling from renal osteodystrophy. There is also an increase in fractures with age in patients with CKD, suggesting that patients with CKD also have many fracture risk factors common to patients without known CKD. Osteoporosis is defined by the National Institutes of Health as “A skeletal disorder characterized by compromised bone strength predisposing to an increased risk of fracture. Bone strength reflects the integration of two main features: bone quantity and bone quality.” Thus, CKD-related fractures can be considered a type of osteoporosis—where the bone quality is additionally impaired above that of age/hormonal-related osteoporosis. Perhaps using the term CKD-induced osteoporosis, similar to steroid-induced osteoporosis, will allow patients with CKD to be studied in trials investigating therapeutic agents. In this series, we will examine how CKD-induced osteoporosis may be diagnosed and treated.
Chern-Simons composite fermion theory of fractional Chern insulators

We formulate a Chern-Simons composite fermion theory for fractional Chern insulators (FCIs), whereby bare fermions are mapped into composite fermions coupled to a lattice Chern-Simons gauge theory. We apply this construction to a Chern insulator model on the kagome lattice and identify a rich structure of gapped topological phases characterized by fractionalized excitations including states with unequal filling and Hall conductance. Gapped states with the same Hall conductance at different filling fractions are characterized as realizing distinct symmetry fractionalization classes.
The Political Power of Social Media Revisited

This paper revisits an article published in Foreign Affairs magazine titled “The Political Power of Social Media” (Shirky, 2011) in light of the explosion in the use of social media for political purposes subsequent to its publication. It examines how social media have exerted and will continue to exert power to effect political and social change, focusing on five specific functions – raising community awareness, framing issues, engaging with mass media, stimulating and organizing protest, and obtaining resources.
Heterogeneity of Serum Creatine Kinase Activity Among Racial and Gender Groups of the Population

To develop reference ranges for creatine kinase (CK) appropriate for the patient population served by this hospital, levels of serum CK were measured in 1,537 individuals in our employee population. There was substantial heterogeneity in mean, median, and range of CK levels among the several race/gender subgroups in the population studied. The race/gender subgroups could be placed into three broad groups: a high CK group, composed solely of black men; an intermediate CK group, consisting of nonblack men plus black women; and a low CK group, comprised of nonblack women. Mean CK level of the high CK group was twice that of the intermediate CK group, which, in turn, was twice that of the low CK group. Differences in mean CK values among the subgroups placed into either the intermediate CK group or the low CK group were not significant when tested with analysis of variance. Therefore, practical reference ranges for these groups are as follows: 52-520 U/L for the high CK group; 35-345 U/L for the intermediate CK group; and 25-145 U/L for the low CK group.
Experiments Evaluating Antitumor Immunity Induced by Cholesterol Hemisuccinate-Treated Syngeneic Cell Vaccines

Evaluation of the efficiency of immunizations with syngeneic tumor vaccines prepared from cells treated with cholesterol hemisuccinate (CHS) was performed in five animal models: P815 mastocytoma in DBA/2 mice, MCA-103 fibrosarcoma in C57BL/6N mice, L1210 leukemia in DBA/2 mice, Ehrlich ascites carcinoma in C57BL/6N mice, and CBP pancreatic cancer in CB/SsLak hamsters. Animals received two to four weekly intraperitoneal immunizations with 10(6) or 10(7) tumor cells, followed by challenges with syngeneic viable tumor cells. Survival and tumor growth rates were observed. No significant differences were observed among animals immunized with CHS-treated irradiated tumor vaccines, nontreated irradiated tumor vaccines, and nonimmunized controls in the P815, MCA-103, L1210, and CBP models. Mice immunized with nontreated irradiated Ehrlich ascites cell vaccines showed longer survival than those immunized with CHS-treated irradiated cell vaccines and nonimmunized controls. Results indicated that CHS-treated tumor cell vaccines were not effective in protecting against tumor challenges in five different syngeneic tumor models.
Spectrum of Charmed Quark-Antiquark Bound States*

The discovery of narrow resonances at 3.1 and 3.7 GeV and their interpretation as charmed quark-antiquark bound states suggest additional narrow states between 3.0 and 4.3 GeV. A model which incorporates quark confinement is used to determine the quantum numbers and estimate masses and decay widths of these states. Their existence should be revealed by γ-ray transitions among them.
Natural Time, Nowcasting and the Physics of Earthquakes: Estimation of Seismic Risk to Global Megacities

Natural Time (“NT”) refers to the concept of using small earthquake counts, for example of M > 3 events, to mark the intervals between large earthquakes, for example M > 6 events. The term was first used by Varotsos et al. (2005) and later by Holliday et al. (2006) in their studies of earthquakes. In this paper, we discuss ideas and applications arising from the use of NT to understand earthquake dynamics, in particular by use of the idea of nowcasting. Nowcasting differs from forecasting, in that the goal of nowcasting is to estimate the current state of the system, rather than the probability of a future event. Rather than focus on an individual earthquake faults, we focus on a defined local geographic region surrounding a particular location. This local region is considered to be embedded in a larger regional setting from which we accumulate the relevant statistics. We apply the nowcasting idea to the practical development of methods to estimate the current state of risk for dozens of the world’s seismically exposed megacities, defined as cities having populations of over 1 million persons. We compute a ranking of these cities based on their current nowcast value, and discuss the advantages and limitations of this approach. We note explicitly that the nowcast method is not a model, in that there are no free parameters to be fit to data. Rather, the method is simply a presentation of statistical data, which the user can interpret. Among other results, we find, for example, that the current nowcast ranking of the Los Angeles region is comparable to its ranking just prior to the January 17, 1994 Northridge earthquake.
Do Parents Value School Effectiveness

School choice may lead to improvements in school productivity if parents' choices reward effective schools and punish ineffective ones. This mechanism requires parents to choose schools based on causal effectiveness rather than peer characteristics. We study relationships among parent preferences, peer quality, and causal effects on outcomes for applicants to New York City's centralized high school assignment mechanism. We use applicants' rank-ordered choice lists to measure preferences and to construct selection-corrected estimates of treatment effects on test scores, high school graduation, college attendance, and college quality. Parents prefer schools that enroll high-achieving peers, and these schools generate larger improvements in short- and long-run student outcomes. Preferences are unrelated to school effectiveness and academic match quality after controlling for peer quality.
Clindamycin-modified Triple Antibiotic Nanofibers: A Stain-free Antimicrobial Intracanal Drug Delivery System.

Abstract Introduction A biocompatible strategy to promote bacterial eradication within the root canal system after pulpal necrosis of immature permanent teeth is critical to the success of regenerative endodontic procedures. This study sought to synthesize clindamycin-modified triple antibiotic (metronidazole, ciprofloxacin, and clindamycin [CLIN]) polymer (polydioxanone [PDS]) nanofibers and determine in vitro their antimicrobial properties, cell compatibility, and dentin discoloration. Methods CLIN-only and triple antibiotic CLIN-modified (CLIN-m, minocycline-free) nanofibers were processed via electrospinning. Scanning electron microscopy, Fourier-transform infrared spectroscopy (FTIR), and tensile testing were performed to investigate fiber morphology, antibiotic incorporation, and mechanical strength, respectively. Antimicrobial properties of CLIN-only and CLIN-m nanofibers were assessed against several bacterial species by direct nanofiber/bacteria contact and over time based on aliquot collection up to 21 days. Cytocompatibility was measured against human dental pulp stem cells. Dentin discoloration upon nanofiber exposure was qualitatively recorded over time. The data were statistically analyzed (P Results The mean fiber diameter of CLIN-containing nanofibers ranged between 352 ± 128 nm and 349 ± 128 nm and was significantly smaller than PDS fibers. FTIR analysis confirmed the presence of antibiotics in the nanofibers. Hydrated CLIN-m nanofibers showed similar tensile strength to antibiotic-free (PDS) nanofibers. All CLIN-containing nanofibers and aliquots demonstrated pronounced antimicrobial activity against all bacteria. Antibiotic-containing aliquots led to a slight reduction in dental pulp stem cell viability but were not considered toxic. No visible dentin discoloration upon CLIN-containing nanofiber exposure was observed. Conclusions Collectively, based on the remarkable antimicrobial effects, cell-friendly, and stain-free properties, our data suggest that CLIN-m triple antibiotic nanofibers might be a viable alternative to minocycline-based antibiotic pastes.
Surprising Enhancement of Fibrosis by Tubule-Specific Deletion of the TGF-β Receptor: A New Twist on an Old Paradigm.

Tubulointerstitial fibrosis has long been recognized as the most significant structural lesion associated with the development and progression of CKD. Since the pioneering work of Border and Ruoslahti,[1][1] the pleiotropic factor TGF- β has assumed a central role in the genesis of
Air Bubble Contact with Endothelial Cells Causes a Calcium-Independent Loss in Mitochondrial Membrane Potential

Gas microembolism remains a serious risk associated with surgical procedures and decompression illness. Despite this, the signaling consequences of air bubbles in the vasculature are poorly understood and there is a lack of pharmacological therapies available. Here, we investigate the mitochondrial consequences of air bubble contact with endothelial cells. Methods and Human umbilical vein endothelial cells were loaded with an intracellular calcium indicator (Fluo-4) and either a mitochondrial calcium indicator (X-Rhod-1) or mitochondrial membrane potential indicator (TMRM). Contact with 50-150 μm air bubbles induced concurrent rises in intracellular and mitochondrial calcium, followed by a loss of mitochondrial membrane potential. Pre-treating cells with 1 μmol/L ruthenium red (RuR), a TRPV family calcium channel blocker, did not protect cells from the mitochondrial depolarization, despite blocking the intracellular calcium response. Mitigating the interactions between the air-liquid interface and the endothelial surface layer with 5% BSA or 0.1% Pluronic F-127 prevented the loss of mitochondrial membrane potential. Finally, inhibiting protein kinase C-α (PKCα), with 5 μmol/L Go6976, protected cells from mitochondrial depolarization, but did not affect the intracellular calcium response. Our results indicate that air bubble contact with endothelial cells activates a novel, calcium-independent, PKCα-dependent signaling pathway, which results in mitochondrial depolarization. As a result, mitochondrial dysfunction is likely to be a key contributor to the pathophysiology of gas embolism injury. Further, this connection between the endothelial surface layer and endothelial mitochondria may also play an important role in vascular homeostasis and disease.
Pantries and Policy Implementation: Using Nonprofit Priorities to Understand Variation in Emergency Food Assistance:

Public and nonprofit actors have long partnered to carry out emergency food assistance, particularly through the use of nonprofit food pantries. Although nonprofit pantries fulfill an important fun...
Ocular and uteroplacental pathology in a macaque pregnancy with congenital Zika virus infection

Congenital Zika virus (ZIKV) infection impacts fetal development and pregnancy outcomes. We infected a pregnant rhesus macaque with a Puerto Rican ZIKV isolate in the first trimester. The pregnancy was complicated by preterm premature rupture of membranes (PPROM), intraamniotic bacterial infection and fetal demise 49 days post infection (gestational day 95). Significant pathology at the maternal-fetal interface included acute chorioamnionitis, placental infarcts, and leukocytoclastic vasculitis of the myometrial radial arteries. ZIKV RNA was disseminated throughout fetal tissues and maternal immune system tissues at necropsy, as assessed by quantitative RT-PCR for viral RNA. Replicating ZIKV was identified in fetal tissues, maternal uterus, and maternal spleen by fluorescent in situ hybridization for viral replication intermediates. Fetal ocular pathology included a choroidal coloboma, suspected anterior segment dysgenesis, and a dysplastic retina. This is the first report of ocular pathology and prolonged viral replication in both maternal and fetal tissues following congenital ZIKV infection in a rhesus macaque. PPROM followed by fetal demise and severe pathology of the visual system have not been described in macaque congenital ZIKV infection previously. While this case of ZIKV infection during pregnancy was complicated by bacterial infection with PPROM, the role of ZIKV on this outcome cannot be precisely defined, and further nonhuman primate studies will determine if increased risk for PPROM or other adverse pregnancy outcomes are associated with congenital ZIKV infection.