cssi/SciSciGPT-SciSciNet huggingface dataset:
Ultrasound Screening of Healthy Infants for Urinary Tract Abnormalities

The purpose of the study was to determine the incidence of silent but significant urinary tract abnormalities that might be detected by screening renal ultrasound studies of apparently healthy infants. Of 437 babies studied, six were found to have uropathology severe enough to warrant surgery for an incidence of 1.37% or one of every 73 babies studied.
Nutritional Aspects of Preoperative Management

The preoperative evaluation of the surgical patient should include a careful evaluation of the patient's nutritional status. A careful history and physical examination are appropriate and reliable means for evaluation of nutritional status. Patients with certain diagnoses, such as Crohn's disease or visceral malignancies, are likely to become malnourished even if they are not malnourished at the time of hospital admission. Preoperative and postoperative nutritional support, continued until the patient is able to take adequate nutrients by mouth, is an important part of the management of these patients and can improve the care and decrease the likelihood of complications.
Prognostic Factors in Neonatal Acute Renal Failure

Sixteen infants, 2 to 35 days of age, had acute renal failure, a diagnosis based on serum creatinine concentrations greater than 1.5 mg/dL for at least 24 hours. Eight infants were oliguric (urine flow less than 1.0 mL/kg/h) whereas the remainder were nonoliguric. To determine clinical parameters useful in prognosis, urine flow rate, duration of anuria, peak serum creatinine, urea (BUN) concentration, and nuclide uptake by scintigraphy were correlated with recovery. Nine infants had acute renal failure secondary to perinatal asphyxia, three had acute renal failure as a result of congenital cardiovascular disease, and four had major renal anomalies. Four oliguric patients died: three of renal failure and one of heart failure. All nonoliguric infants survived with mean follow-up serum creatinine concentration of 0.8 +/- 0.5 (SD) mg/dL whereas that of oliguric survivors was 0.6 +/- 0.3 mg/dL. Peak serum creatinine concentration did not differ between those patients who were dying and those recovering. All infants who were dying remained anuric at least four days and revealed no renal uptake of nuclide. Eleven survivors were anuric three days or less, and renal perfusion was detectable by scintigraphy in each case. However, the remaining survivor (with bilateral renal vein thrombosis) recoveredmore » after 15 days of anuria despite nonvisualization of kidneys by scintigraphy. In neonates with ischemic acute renal failure, lack of oliguria and the presence of identifiable renal uptake of nuclide suggest a favorable prognosis.« less
Genitourinary Injuries Secondary to Break Dancing in Children and Adolescents

Trauma to the lower genitourinary tract in children and adolescents has been a rare occurrence. However, with the advent of pediatric trauma centers, more of these injuries are now being seen and evaluated. Although trauma to the genitourinary tract alone is an uncommon cause of death, trauma centers are seeing more children in which decisions regarding the management of the genitourinary tract must be made. Most injuries that have been reported have been secondary to blunt trauma such as straddle injuries, falls, or motor vehicle accidents. Recently, two cases of lower genitourinary tract trauma have been seen associated with the current fad of break dancing.
Use of Intrathecal and Epidural Morphine for Pain Relief in Patients With Malignant Diseases: A Preliminary Report

The results of a preliminary study involving the treatment of various malignant pain disorders by intrathecal (I.T.) or epidural (E) morphine sulfate (M.S.) injections in 18 patients are reported. Fourteen (78%) patients obtained satisfactory analgesic effects and 4 (22%) failed. The overall duration of pain relief was modest and ranged from 10 to 72 hours; the intrathecal route provided a slightly longer duration (median: 48 hours; range: 15-72 hours) of analgesia than that of the epidural route (median: 20 hours; range: 10-72 hours). Minor and transient complications occurred in 10 (55%) patients.
Chapter 2 – MATHEMATICAL PRELIMINARIES

The earliest forms of finite element analysis were based on physical intuition with little recourse to higher mathematics. As the range of applications expanded, for example to the theory of plates and shells, some physical approaches failed and some succeeded. The use of higher mathematics such as variational calculus explained why the successful methods worked. At the same time the mathematicians were attracted by this new field of study. In the last few years the mathematical theory of finite element analysis has grown quite large. Since the state of the art now depends heavily on error estimators and error indicators it is necessary for an engineer to be aware of some basic mathematical topics of finite element analysis. We will consider load vectors and solution vectors, and residuals of various weak forms. All of these require us to define some method to ‘measure’ these entities. For the above linear vectors with discrete coefficients, V T =[ V 1 V 2 … V n ], we might want to use a measure like the root mean square, RMS : R M S 2 = 1 n ∑ i = 1 n V i 2 = 1 n V T V which we will come to call a norm of the linear vector space. Other quantities vary with spatial position and appear in integrals over the solution domain and/or its boundaries. We will introduce various other norms to measure these integral quantities.
Computing heat kernel pagerank and a local clustering algorithm

Abstract Heat kernel pagerank is a variation of Personalized PageRank given in an exponential formulation. In this work, we present a sublinear time algorithm for approximating the heat kernel pagerank of a graph. The algorithm works by simulating random walks of bounded length and runs in time O ( log ( ϵ − 1 ) log n ϵ 3 log log ( ϵ − 1 ) ) , assuming performing a random walk step and sampling from a distribution with bounded support take constant time. The quantitative ranking of vertices obtained with heat kernel pagerank can be used for local clustering algorithms. We present an efficient local clustering algorithm that finds cuts by performing a sweep over a heat kernel pagerank vector, using the heat kernel pagerank approximation algorithm as a subroutine. Specifically, we show that for a subset S of Cheeger ratio ϕ , many vertices in S may serve as seeds for a heat kernel pagerank vector which will find a cut of conductance O ( ϕ ) .
An improved ATAC-seq protocol reduces background and enables interrogation of frozen tissues

We present Omni-ATAC, an improved ATAC-seq protocol for chromatin accessibility profiling that works across multiple applications with substantial improvement of signal-to-background ratio and information content. The Omni-ATAC protocol generates chromatin accessibility profiles from archival frozen tissue samples and 50-μm sections, revealing the activities of disease-associated DNA elements in distinct human brain structures. The Omni-ATAC protocol enables the interrogation of personal regulomes in tissue context and translational studies.
Are Fair Weather Fans Affected by Weather? Rainfall, Habit Formation, and Live Game Attendance:

We analyze habit formation in sports attendance utilizing rainfall as an unexpected, transitory shock to attendance costs. Using attendance data from Major League Baseball (MLB) and National Oceani...
Seasonal Variation in Slipped Capital Femoral Epiphysis: New Findings Using a National Children's Hospital Database.

BACKGROUND Slipped capital femoral epiphysis (SCFE) demonstrates seasonal variation in certain latitudes but not others. Is such variation influenced by temperature differences, sunlight exposure and subsequent vitamin D production, or other climate variables? It was the purpose of this study to further investigate the seasonal variation in month of presentation for SCFE. METHODS Data for this study originated from the Pediatric Hospital Information System for all children with a diagnosis of SCFE from January 1, 2004 through December 31, 2014. From this database the patient's sex, ethnicity, hospital location, and month of presentation was determined. Only those patients treated primarily for SCFE were included. Geographic and climate data [latitude, average annual temperature, precipitation, climate type (Koppen-Geiger and Liss), horticultural plant zone hardiness, and sunlight exposure] for each of the 49 Pediatric Hospital Information System hospitals was determined. Seasonal variation was analyzed using cosinor analysis. A P 35-degree N there was single peak, a less prominent double peak for those 31- to 35-degree N, and no variation for those <31-degree N. As the average annual temperature increased there was less seasonal variability. Humid, temperate and cold winter climates demonstrated seasonal variation, whereas other climate types did not. Those living in areas having <2500 hours of sunlight per year demonstrated seasonal variation. Further, areas having a photovoltaic solar production potential <5.0 kWh/m/d also demonstrated seasonal variation. CONCLUSIONS We discovered new seasonal variation findings regarding SCFE. These are a double peak pattern for those between 31- and 35-degree N latitude; less variability as the average annual temperature increases; and sunlight exposure correlates with seasonal variability. Potential explanations are a rachitic state due to seasonal variation in vitamin D production, and seasonal variation in physeal growth and strength. These new findings will require further investigation. LEVEL OF EVIDENCE Level III.
Shifts in Feminism and Women’s Rights in Latin America: 1960-1990

Males have dominated societal institutions including the family in nearly all cultures throughout human history. For most of the world, women have a double work role with little economic reward. This gender stratification has both micro and macro effects in nearly all societies. The scene shifted slightly in Western society with the romanticism of the Victorian age as well as with urbanization, the franchise, and the spread of new psychological doctrines in the first half of the twentieth century. Along with other minorities, women began their search for liberation in the 1960s—a struggle that continues through the 1990s.
Evolution of the Global Risk Network Mean-Field Stability Point

With a steadily growing human population and rapid advancements in technology, the global human network is increasing in size and connection density. This growth exacerbates networked global threats and can lead to unexpected consequences such as global epidemics mediated by air travel, threats in cyberspace, global governance, etc. A quantitative understanding of the mechanisms guiding this global network is necessary for proper operation and maintenance of the global infrastructure. Each year the World Economic Forum publishes an authoritative report on global risks, and applying this data to a CARP model, we answer critical questions such as how the network evolves over time. In the evolution, we compare not the current states of the global risk network at different time points, but its steady state at those points, which would be reached if the risk were left unabated. Looking at the steady states show more drastically the differences in the challenges to the global economy and stability the world community had faced at each point of the time. Finally, we investigate the influence between risks in the global network, using a method successful in distinguishing between correlation and causation. All results presented in the paper were obtained using detailed mathematical analysis with simulations to support our findings.
Differentiation of primate primordial germ cell-like cells following transplantation into the adult gonadal niche

A major challenge in stem cell differentiation is the availability of bioassays to prove cell types generated in vitro are equivalent to cells in vivo. In the mouse, differentiation of primordial germ cell-like cells (PGCLCs) from pluripotent cells was validated by transplantation, leading to the generation of spermatogenesis and to the birth of offspring. Here we report the use of xenotransplantation (monkey to mouse) and homologous transplantation (monkey to monkey) to validate our in vitro protocol for differentiating male rhesus (r) macaque PGCLCs (rPGCLCs) from induced pluripotent stem cells (riPSCs). Specifically, transplantation of aggregates containing rPGCLCs into mouse and nonhuman primate testicles overcomes a major bottleneck in rPGCLC differentiation. These findings suggest that immature rPGCLCs once transplanted into an adult gonadal niche commit to differentiate towards late rPGCs that initiate epigenetic reprogramming but do not complete the conversion into ENO2-positive spermatogonia.
Configuring blockchain architectures for transaction information in blockchain consortiums: The case of accounting and supply chain systems

This paper investigates alternative configurations of different blockchain architectures that can be used for gathering and processing transactions in a range of different settings, including accounting, auditing, supply chain and other types of transaction information. Although there has been substantial focus on the peer‐to‐peer and public versions of blockchain, this paper focuses primarily on cloud‐based and private configuration versions of blockchains and investigates use configurations, advantages and limitations as firms bring blockchain‐based market mechanisms into their organizations. In addition, this paper investigates some emerging issues associated with blockchain use in consortium settings. Finally, this paper relates some proposed uses of blockchain for transaction processing to other technologies, such as data warehouses and databases.
Operation Phakisa Education: Why a secret? Mass surveillance, inequality, and race in South Africa's emerging national e-education system

This paper investigates several human rights concerns with respect to the South African government’s secretive plan to transform basic education, Operation Phakisa Education. The first concern is the influence of digital surveillance on education and society by government and corporate institutions. This is evaluated in light of electronic foreign and domestic government and corporate surveillance, as well as the context of socioeconomic inequality. Another is the likelihood of a chilling effect on free speech and inquiry. A third issue is the monitoring and evaluation of teachers and the associated limits on teacher autonomy. Last, it considers democratic process and informed consent. It concludes that Operation Phakisa Education poses serious problems for education and society, and contradicts principles of democratic transparency endorsed in education policy.
Total Hip Arthroplasty Bearing Surface Trends in the United States From 2007 to 2014: The Rise of Ceramic on Polyethylene.

Abstract Background Wear of the bearing surface is a critical element in determining the longevity of a total hip arthroplasty (THA). Over the past decade, concerns related to modern metal-on-metal (MoM) bearings and corrosion at the femoral head-neck interface have influenced surgeon selection of bearing surfaces. The purpose of this study is to analyze trends in THA bearing surface selection from 2007 through 2014 using a large national database. Methods The Nationwide Inpatient Sample database was used to extract bearing surface data from patients who underwent a primary THA between 2007 and 2014. Patients were grouped by bearing surface type: metal-on-polyethylene (MoP), ceramic-on-polyethylene (CoP), MoM, and ceramic-on-ceramic (CoC) bearings. Descriptive statistics were employed to describe trends. Univariate and multivariate analyses were performed to identify differences between bearing surface groups. Results During the study period, 2,460,640 THA discharges were identified, of which 1,059,825 (43.1%) had bearing surface data. A total of 496,713 (46.9%) MoP, 307,907 (29.1%) CoP, 210,381 (19.9%) MoM, and 44,823 (4.2%) CoC cases were identified. MoM utilization peaked in 2008 representing 40.1% of THAs implanted that year and steadily declined to 4.0% in 2014. From 2007 to 2014, the use of CoP bearing surfaces increased from 11.1% of cases in 2007 to 50.8% of cases in 2014. In 2014, CoP utilization surpassed MoP which represented 42.1% of bearing surfaces that year. Conclusion During the study period, MoM bearing surfaces decreased precipitously, while CoP surpassed MoP as the most popular bearing surface used in a THA.
Configurable Lipid Membrane Gradients Quantify Diffusion, Phase Separations and Binding Densities

Systematically testing the composition of supported phospholipid membranes typically requires many separate lipid depositions in distinct experiments or bins. Alternatively, we have developed a simple, low-cost method to create phospholipid gradients that exhibit a broad range of spatially resolvable compositions. We image these gradients as they relax to equilibrium to reveal diffusion coefficients, phase separation parameters, and protein binding densities as a function of localized lipid mixtures, in single experiments. Compositional gradients are formed by directed self-assembly where rapid-prototyping techniques (i.e., 3D printing or laser-cutting) prescribe supported lipid geometries that self-spread, heal and mix by diffusion. We are currently applying this platform to explore mechanisms of intra-bilayer cholesterol transport.http://dx.doi.org/10.1039/C5SM02013A, Soft Matter (2015).
Excitation mechanisms for Jovian seismic modes

Recent (2011) results from the Nice Observatory indicate the existence of global seismic modes on Jupiter in the frequency range between 0.7 and 1.5 mHz with amplitudes of tens of cm/s. Currently, the driving force behind these modes is a mystery; the measured amplitudes are many orders of magnitude larger than anticipated based on theory analogous to helioseismology (that is, turbulent convection as a source of stochastic excitation). One of the most promising hypotheses is that these modes are driven by Jovian storms. This work constructs a framework to analytically model the expected equilibrium normal mode amplitudes arising from convective columns in storms. We also place rough constraints on Jupiter’s seismic modal quality factor. Using this model, neither meteor strikes, turbulent convection, nor water storms can feasibly excite the order of magnitude of observed amplitudes. Next we speculate about the potential role of rock storms deeper in Jupiter’s atmosphere, because the rock storms’ expected energy scales make them promising candidates to be the chief source of excitation for Jovian seismic modes, based on simple scaling arguments. We also suggest some general trends in the expected partition of energy between different frequency modes. Finally we supply some commentary on potential applications to gravity, Juno, Cassini and Saturn, and future missions to Uranus and Neptune.
Imputation Match Bias in Immigrant Wage Convergence

Although immigrants to the United States earn less at entry than their native-born counterparts, an extensive literature has found that immigrants have faster earnings growth that results in rapid convergence to native-born earnings. However, recent evidence based on U.S. Census data indicates a slowdown in the rate of earnings assimilation. We find that the pace of immigrant wage convergence based on recent data may be understated in the literature as a result of the method used by the census to impute missing information on earnings, which does not use immigration status as a match characteristic. Because both the share of immigrants in the workforce and earnings imputation rates have risen over time, imputation match bias for recent immigrants is more consequential than in earlier periods and may lead to an underestimate of the rate of immigrant wage convergence.
Early electrification and the quality of service: Evidence from rural India

Abstract Rural electrification has progressed unevenly across the world since 1945, with some rural communities gaining access to power decades earlier than others. We examine the association between early electrification and the quality of electricity service to households, testing the hypothesis that aging infrastructure compromises the quality of electricity service. Using the 2014–2015 ACCESS survey from rural India, we find that early electrification is associated with improvements in the quality of electricity service, even controlling for village size and distance to nearest town. A possible explanation for the finding is that early electrification generates economic gains that allow the rural community to invest in maintenance and upgrades.
Mining Name Translations from Comparable Corpora by Creating Bilingual Information Networks.

This paper describes a new task to extract and align information networks from comparable corpora. As a case study we demonstrate the effectiveness of this task on automatically mining name translation pairs. Starting from a small set of seeds, we design a novel approach to acquire name translation pairs in a bootstrapping framework. The experimental results show this approach can generate highly accurate name translation pairs for persons, geopolitical and organization entities.
Closing the loop on deep brain stimulation for treatment-resistant depression

Major depressive episodes are the largest cause of psychiatric disability, and can often resist treatment with medication and psychotherapy. Advances in the understanding of the neural circuit basis of depression, combined with the success of deep brain stimulation (DBS) in movement disorders, spurred several groups to test DBS for treatment-resistant depression. Multiple brain sites have now been stimulated in open-label and blinded studies. Initial open-label results were dramatic, but follow-on controlled/blinded clinical trials produced inconsistent results, with both successes and failures to meet endpoints. Data from follow-on studies suggest that this is because DBS in these trials was not targeted to achieve physiologic responses. We review these results within a technology-lifecycle framework, in which these early trial "failures" are a natural consequence of over-enthusiasm for an immature technology. That framework predicts that from this "valley of disillusionment," DBS may be nearing a "slope of enlightenment." Specifically, by combining recent mechanistic insights and the maturing technology of brain-computer interfaces (BCI), the next generation of trials will be better able to target pathophysiology. Key to that will be the development of closed-loop systems that semi-autonomously alter stimulation strategies based on a patient's individual phenotype. Such next-generation DBS approaches hold great promise for improving psychiatric care.
Topography and refractometry of sperm cells using spatial light interference microscopy.

Characterization of spermatozoon viability is a common test in treating infertility. Recently, it has been shown that label-free, phase-sensitive imaging can provide a valuable alternative for this type of assay. We employ spatial light interference microscopy (SLIM) to perform high-accuracy single-cell phase imaging and decouple the average thickness and refractive index information for the population. This procedure was enabled by quantitative-phase imaging cells on media of two different refractive indices and using a numerical tool to remove the curvature from the cell tails. This way, we achieved ensemble averaging of topography and refractometry of 100 cells in each of the two groups. The results show that the thickness profile of the cell tail goes down to 150 nm and the refractive index can reach values of 1.6 close to the head.
A Ciphertext-Size Lower Bound for Order-Preserving Encryption with Limited Leakage

We consider a security definition of Chenette, Lewi, Weis, and Wu for order-revealing encryption (ORE) and order-preserving encryption (OPE) (FSE 2016). Their definition says that the comparison of two ciphertexts should only leak the index of the most significant bit on which they differ. While their work could achieve order-revealing encryption with short ciphertexts that expand the plaintext by a factor \(\approx 1.58\), it could only find order-preserving encryption with longer ciphertexts that expanded the plaintext by a security-parameter factor. We give evidence that this gap between ORE and OPE is inherent, by proving that any OPE meeting the information-theoretic version of their security definition (for instance, in the random oracle model) must have ciphertext length close to that of their constructions. We extend our result to identify an abstract security property of any OPE that will result in the same lower bound.
What drives international financial flows? Politics, institutions and other determinants

Abstract This paper uses a large panel of financial flow data from banks to assess how institutions affect international lending. First, employing a time varying composite institutional quality index in a fixed-effects framework, the paper shows that institutional improvements are followed by significant increases in international finance. Second, cross-sectional models also show a strong effect of initial levels of institutional quality on future bank lending. Third, instrumental variable estimates further show that the historically predetermined component of institutional development is also a significant correlate of international bank inflows. The results thus suggest that institutional underdeveloped can explain a significant part of Lucas [Lucas, Robert E. 1990. “Why Doesn't Capital Flow from Rich to Poor Countries?” American Economic Review (Papers and Proceedings), 80 (2): 92–96. 1990] paradox of why doesn't capital flow from rich to poor countries. The analysis also does a first-step towards understanding which institutional features affect international banking.
Ultrafast photocarrier dynamics in single-layer graphene driven by strong terahertz pulses

Time-resolved high-field terahertz (THz) spectroscopy of photoexcited graphene demonstrates extraordinary photocarrier dynamics in single-layer graphene. Strong THz fields and photoexcitation simultaneously enhance the THz transmission of graphene mainly due to the increase of carrier scattering rates. A theoretical analysis confirms that the graphene conductivity undergoes transient decreases to the large extent under the THz and optical excitations, indicating that both the strong THz fields and photoexcitation effectively elevate the carrier scattering rates. The relaxation of photocarriers, on the other hand, shows opposite effects of the THz fields and photoexcitation. Photoexcitation increases the relaxation time via the reabsorption of optical phonons by photocarriers, while strong THz fields reduce the relaxation time because the field-induced redistribution of electrons opens up unoccupied states in the conduction band and consequently enhances the relaxation and the phonon emission.
Film Condensation of Liquid Metals

A survey of the state of data for condensation of metal vapors is presented and includes a discussion of the influence of measurement precision and traces of non-condensable gas on the observed res...
Boolean Decision Rules via Column Generation

This paper considers the learning of Boolean rules in either disjunctive normal form (DNF, OR-of-ANDs, equivalent to decision rule sets) or conjunctive normal form (CNF, AND-of-ORs) as an interpretable model for classification. An integer program is formulated to optimally trade classification accuracy for rule simplicity. Column generation (CG) is used to efficiently search over an exponential number of candidate clauses (conjunctions or disjunctions) without the need for heuristic rule mining. This approach also bounds the gap between the selected rule set and the best possible rule set on the training data. To handle large datasets, we propose an approximate CG algorithm using randomization. Compared to three recently proposed alternatives, the CG algorithm dominates the accuracy-simplicity trade-off in 8 out of 16 datasets. When maximized for accuracy, CG is competitive with rule learners designed for this purpose, sometimes finding significantly simpler solutions that are no less accurate.
Modeling Patient-Specific Dose-Function Response for Enhanced Characterization of Personalized Functional Damage.

Purpose Functional-guided radiation therapy (RT) plans have the potential to limit damage to normal tissue and reduce toxicity. Although functional imaging modalities have continued to improve, a limited understanding of the functional response to radiation and its application to personalized therapy has hindered clinical implementation. The purpose of this study was to retrospectively model the longitudinal, patient-specific dose-function response in non-small cell lung cancer patients treated with RT to better characterize the expected functional damage in future, unknown patients. Methods and Materials Perfusion single-photon emission computed tomography/computed tomography scans were obtained at baseline (n = 81), midtreatment (n = 74), 3 months post-treatment (n = 51), and 1 year post-treatment (n = 26) and retrospectively analyzed. Patients were treated with conventionally fractionated RT or stereotactic body RT. Normalized perfusion single-photon emission computed tomography voxel intensity was used as a surrogate for local lung function. A patient-specific logistic model was applied to each individual patient's dose-function response to characterize functional reduction at each imaging time point. Patient-specific model parameters were averaged to create a population-level logistic dose-response model. Results A significant longitudinal decrease in lung function was observed after RT by analyzing the voxelwise change in normalized perfusion intensity. Generated dose-function response models represent the expected voxelwise reduction in function, and the associated uncertainty, for an unknown patient receiving conventionally fractionated RT or stereotactic body RT. Differential treatment responses based on the functional status of the voxel at baseline suggest that initially higher functioning voxels are damaged at a higher rate than lower functioning voxels. Conclusions This study modeled the patient-specific dose-function response in patients with non-small cell lung cancer during and after radiation treatment. The generated population-level dose-function response models were derived from individual patient assessment and have the potential to inform functional-guided treatment plans regarding the expected functional lung damage. This type of patient-specific modeling approach can be applied broadly to other functional response analyses to better capture intrapatient dependencies and characterize personalized functional damage.
Jointly Optimal Routing and Caching for Arbitrary Network Topologies

We study a problem of minimizing routing costs by jointly optimizing caching and routing decisions over an arbitrary network topology. We cast this as an equivalent caching gain maximization problem, and consider both source routing and hop-by-hop routing settings. The respective offline problems are NP-hard. Nevertheless, we show that there exist polynomial time approximation algorithms producing solutions within a constant approximation from the optimal. We also produce distributed, adaptive algorithms with the same approximation guarantees. We simulate our adaptive algorithms over a broad array of different topologies. Our algorithms reduce routing costs by several orders of magnitude compared with prior art, including algorithms optimizing caching under fixed routing.
From Nuclei to the Cosmos: Tracing Heavy-Element Production with the Oldest Stars

Understanding the origin of the elements has been a decades-long pursuit, with many open questions remaining. Old stars found in the Milky Way and its dwarf satellite galaxies can provide answers b...
Geometry of motion and nutation stability of free axisymmetric variable mass systems

In classical mechanics, the ‘geometry of motion’ refers to a development to visualize the motion of freely spinning bodies. In this paper, such an approach of studying the rotational motion of axisymmetric variable mass systems is developed. An analytic solution to the second Euler angle characterizing nutation naturally falls out of this method, without explicitly solving the nonlinear differential equations of motion. This is used to examine the coning motion of a free axisymmetric cylinder subject to three idealized models of mass loss and new insight into their rotational stability is presented. It is seen that the angular speeds for some configurations of these cylinders grow without bounds. In spite of this phenomenon, all configurations explored here are seen to exhibit nutational stability, a desirable property in solid rocket motors.
An Efficient Genome Editing Strategy To Generate Putative Null Mutants in Caenorhabditis elegans Using CRISPR/Cas9.

Null mutants are essential for analyzing gene function. Here, we describe a simple and efficient method to generate Caenorhabditis elegans null mutants using CRISPR/Cas9 and short single stranded DNA oligo repair templates to insert a universal 43-nucleotide-long knock-in cassette (STOP-IN) into the early exons of target genes. This STOP-IN cassette has stop codons in all three reading frames and leads to frameshifts, which will generate putative null mutations regardless of the reading frame of the insertion position in exons. The STOP-IN cassette also contains an exogenous Cas9 target site that allows further genome editing and provides a unique sequence that simplifies the identification of successful insertion events via PCR. As a proof of concept, we inserted the STOP-IN cassette at a Cas9 target site in aex-2 to generate new putative null alleles by injecting preassembled Cas9 ribonucleoprotein and a short synthetic single stranded DNA repair template containing the STOP-IN cassette and two ∼35-nucleotide-long homology arms identical to the sequences flanking the Cas9 cut site. We showed that these new aex-2 alleles phenocopied an existing loss-of-function allele of aex-2. We further showed that the new aex-2 null alleles could be reverted back to the wild-type sequence by targeting the exogenous Cas9 cut site included in the STOP-IN cassette and providing a single stranded wild-type DNA repair oligo. We applied our STOP-IN method to generate new putative null mutants for 20 additional genes, including three pharyngeal muscle-specific genes (clik-1, clik-2, and clik-3), and reported a high insertion rate (46%) based on the animals we screened. We showed that null mutations of clik-2 cause recessive lethality with a severe pumping defect and clik-3 null mutants have a mild pumping defect, while clik-1 is dispensable for pumping. We expect that the knock-in method using the STOP-IN cassette will facilitate the generation of new null mutants to understand gene function in C. elegans and other genetic model organisms.
Droplet rather than Aerosol Mediated Dispersion is the Primary Mechanism of Bacterial transmission from Contaminated Hand Washing Sink Traps

ABSTRACT An alarming rise in hospital outbreaks implicating hand-washing sinks has led to widespread acknowledgment that sinks are a major reservoir of antibiotic-resistant pathogens in patient care areas. An earlier study using green fluorescent protein (GFP)-expressing Escherichia coli (GFP-E. coli) as a model organism demonstrated dispersal from drain biofilms in contaminated sinks. The present study further characterizes the dispersal of microorganisms from contaminated sinks. Replicate hand-washing sinks were inoculated with GFP-E. coli, and dispersion was measured using qualitative (settle plates) and quantitative (air sampling) methods. Dispersal caused by faucet water was captured with settle plates and air sampling methods when bacteria were present on the drain. In contrast, no dispersal was captured without or in between faucet events, amending an earlier theory that bacteria aerosolize from the P-trap and disperse. Numbers of dispersed GFP-E. coli cells diminished substantially within 30 minutes after faucet usage, suggesting that the organisms were associated with larger droplet-sized particles that are not suspended in the air for long periods. IMPORTANCE Among the possible environmental reservoirs in a patient care environment, sink drains are increasingly recognized as a potential reservoir to hospitalized patients of multidrug-resistant health care-associated pathogens. With increasing antimicrobial resistance limiting therapeutic options for patients, a better understanding of how pathogens disseminate from sink drains is urgently needed. Once this knowledge gap has decreased, interventions can be engineered to decrease or eliminate transmission from hospital sink drains to patients. The current study further defines the mechanisms of transmission for bacteria that colonize sink drains.
Cognitive computational neuroscience

To learn how cognition is implemented in the brain, we must build computational models that can perform cognitive tasks, and test such models with brain and behavioral experiments. Cognitive science has developed computational models that decompose cognition into functional components. Computational neuroscience has modeled how interacting neurons can implement elementary components of cognition. It is time to assemble the pieces of the puzzle of brain computation and to better integrate these separate disciplines. Modern technologies enable us to measure and manipulate brain activity in unprecedentedly rich ways in animals and humans. However, experiments will yield theoretical insight only when employed to test brain-computational models. Here we review recent work in the intersection of cognitive science, computational neuroscience and artificial intelligence. Computational models that mimic brain information processing during perceptual, cognitive and control tasks are beginning to be developed and tested with brain and behavioral data.
Partial equilibration of integer and fractional edge channels in the thermal quantum Hall effect

Since the charged mode is much faster than the neutral modes on quantum Hall edges at large filling factors, the edge may remain out of equilibrium in thermal conductance experiments. This sheds light on the observed imperfect quantization of the thermal Hall conductance at $\ensuremath{\nu}=8/3$ and can increase the observed thermal conductance by two quanta at $\ensuremath{\nu}=8/5$. Under certain unlikely but not impossible assumptions, this might also reconcile the observed thermal conductance at $\ensuremath{\nu}=5/2$ with not only the PH-Pfaffian order but also the anti-Pfaffian order.
Data Amplification: A Unified and Competitive Approach to Property Estimation

Estimating properties of discrete distributions is a fundamental problem in statistical learning. We design the first unified, linear-time, competitive, property estimator that for a wide class of properties and for all underlying distributions uses just 2n samples to achieve the performance attained by the empirical estimator with n\sqrt{\log n} samples. This provides off-the-shelf, distribution-independent, ``amplification'' of the amount of data available relative to common-practice estimators. We illustrate the estimator's practical advantages by comparing it to existing estimators for a wide variety of properties and distributions. In most cases, its performance with n samples is even as good as that of the empirical estimator with n\log n samples, and for essentially all properties, its performance is comparable to that of the best existing estimator designed specifically for that property.
Nonnegative Matrix Factorization with Toeplitz Penalty

Nonnegative Matrix Factorization (NMF) is an unsupervised learning algorithm that produces a linear, parts-based approximation of a data matrix. NMF constructs a nonnegative low rank basis matrix and a nonnegative low rank matrix of weights which, when multiplied together, approximate the data matrix of interest using some cost function. The NMF algorithm can be modified to include auxiliary constraints which impose task-specific penalties or restrictions on the cost function of the matrix factorization. In this paper we propose a new NMF algorithm that makes use of non-datadependent auxiliary constraints which incorporate a Toeplitz matrix into the multiplicative updating of the basis and weight matrices. We compare the facial recognition performance of our new Toeplitz Nonnegative Matrix Factorization (TNMF) algorithm to the performance of the Zellner Nonnegative Matrix Factorization (ZNMF) algorithm which makes use of data-dependent auxiliary constraints. We also compare the facial recognition performance of the two aforementioned algorithms with the performance of several preexisting constrained NMF algorithms that have non-data-dependent penalties. The facial recognition performances are evaluated using the Cambridge ORL Database of Faces and the Yale Database of Faces.
A preliminary assessment of the indicators for Sustainable Development Goal (SDG) 14 “Conserve and sustainably use the oceans, seas and marine resources for sustainable development”

Abstract The SDGs are intended to address sustainable development processes in both developed and developing countries, and to facilitate action at all levels and with all actors, including government, civil society, the private sector and the science community. The SDG 14 covers, among other features, economic pressures on the marine environment and takes into account the specificities of coastal communities. This paper reviews the rational for the SDG 14, as well as the framework for the SDG 14 indicators including (i) some basic concepts such as the role of uncertainty, irreversibility and thresholds in the marine context, and the multidimensionality of the indicators; (ii) synergies and trade-offs among the SDG 14 targets, and between SDG 14 and other SDGs targets, and how to track progress on policy coherence at the national level; (iii) synergies between SDG 14 indicators, and Millennium Development Goals’ and Multilateral Environmental Agreements’ targets and indicators; and (iv) the role of big data. Indicators at the global and national scales (France) are also explored. To conclude, there are challenges and opportunities for future research in this area such as the development of indicators building on the frontiers of ocean science, the development of innovative approaches for data collection, the development of common approaches in valuing marine ecosystem services and national accounting, the provision of incentives for best practice and peer-learning, the harmonisation of measurement methodologies and the selection of SDG 14 indicators according to the geographical level of intervention.
Co-crystallization of anti-inflammatory pharmaceutical contaminants and rare carboxylic acid–pyridine supramolecular synthon breakdown

The reliability of supramolecular synthons in co-crystals involving naproxen and mefenamic acid is investigated. The carboxylic acid⋯pyridine synthon is exceptionally reliable; however, we observe synthon breakdown and a rare pyridyl dimer in a co-crystal with mefenamic acid. A Cambridge Structural Database survey supports the rarity of this motif in acid–bipyridine co-crystals.
Patterning, Reading, and Executive Functions

Detecting a pattern within a sequence of ordered units, defined as patterning, is a cognitive ability that is important in learning mathematics and influential in learning to read. The present study was designed to examine relations between first-grade children's executive functions, patterning, and reading abilities, and to examine whether these relations differ by the type of pattern. The results showed that working memory correlated with reading fluency, and comprehension measures. Inhibition correlated only with the latter. Cognitive flexibility was correlated with patterning performance and with performance on object size patterns, whereas working memory was correlated with performance on symmetrical patterns and growing number patterns. These results suggest that the cognition required for completing patterns differs depending on the pattern type. Teachers may find it beneficial to place emphasis on the switching and working memory components of completing patterning tasks, depending on the type of patterns used in instruction.
Cognitive Change and Driving Behavior among Older Drivers

Per vehicle miles traveled, older adults have a high fatal crash rate. One factor is dementia. This study aims to assess how differences in cognition affect driving behavior among older drivers. We...
NestDNN: Resource-Aware Multi-Tenant On-Device Deep Learning for Continuous Mobile Vision

Mobile vision systems such as smartphones, drones, and augmented-reality headsets are revolutionizing our lives. These systems usually run multiple applications concurrently and their available resources at runtime are dynamic due to events such as starting new applications, closing existing applications, and application priority changes. In this paper, we present NestDNN, a framework that takes the dynamics of runtime resources into account to enable resource-aware multi-tenant on-device deep learning for mobile vision systems. NestDNN enables each deep learning model to offer flexible resource-accuracy trade-offs. At runtime, it dynamically selects the optimal resource-accuracy trade-off for each deep learning model to fit the model's resource demand to the system's available runtime resources. In doing so, NestDNN efficiently utilizes the limited resources in mobile vision systems to jointly maximize the performance of all the concurrently running applications. Our experiments show that compared to the resource-agnostic status quo approach, NestDNN achieves as much as 4.2% increase in inference accuracy, 2.0× increase in video frame processing rate and 1.7× reduction on energy consumption.
Measures of Health-Related Quality of Life Outcomes in Pediatric Neurosurgery: Literature Review.

Background Improving value in healthcare means optimizing outcomes and minimizing costs. The emerging pay-for-performance era requires understanding of the effect of healthcare services on health-related quality of life (HRQoL). Pediatric and surgical subspecialties have yet to fully integrate HRQoL measures into practice. The present study reviewed and characterized the HRQoL outcome measures across various pediatric neurosurgical diagnoses. Methods A literature review was performed by searching PubMed and Google Scholar with search terms such as “health-related quality of life” and “pediatric neurosurgery” and then including the specific pathologies for which a HRQoL instrument was found (e.g., “health-related quality of life” plus “epilepsy”). Each measurement was evaluated by content and purpose, relative strengths and weaknesses, and validity. Results We reviewed 68 reports. Epilepsy, brain tumor, cerebral palsy, spina bifida, hydrocephalus, and scoliosis were diagnoses found in reported studies that had used disease-specific HRQoL instruments. Information using general HRQoL instruments was also reported. Internal, test–retest, and/or interrater reliability varied across the instruments, as did face, content, concurrent, and/or construct validity. Few instruments were tested enough for robust reliability and validity. Significant variability was found in the usage of these instruments in clinical studies within pediatric neurosurgery. Conclusions The HRQoL instruments used in pediatric neurosurgery are currently without standardized guidelines and thus exhibit high variability in use. Clinicians should support the development and application of these methods to optimize these instruments, promote standardization of research, improve performance measures to reflect clinically modifiable and meaningful outcomes, and, ultimately, lead the national discussion in healthcare quality and patient-centered care.
Decomposing Isomorphism: What Drives Similarity in the Adoption of New Public Management?:

New public management is a major paradigm in public administration, and its widespread adoption has been explained by institutional theory. However, most studies treat adoption as a discrete event ...