cssi/SciSciGPT-SciSciNet huggingface dataset:
Positive postpartum depression screening practices and subsequent mental health treatment for low-income women in Western countries: a systematic literature review

Left undiagnosed and/or untreated, the short-and long-term sequelae of postpartum depression may negatively impact both mother and child. In Western countries, access to mental health care is influenced by socioeconomic factors. The objective of this systematic literature review is to compile factors that hinder and improve access to postpartum depression treatment in low-income women after a positive screen for postpartum depression. The key question of focus is: what are the characteristics associated with access to mental health treatment for low-income women with a positive postpartum depression screen in Western countries? A PRISMA-based systematic literature review was conducted of studies published in English before February 2016 that looked at treatment for postpartum depression in low-income women who had been identified with the condition. PubMed and EBSCO databases were searched using MESH and key terms and found 100 articles that met the selection criteria. After review by two independent researchers, 18 studies with 17 unique populations were included in the literature review. Two independent abstractors searched the included articles for themes surrounding impediments and advantages for low-income women identified with postpartum depression in obtaining mental health treatment. Characteristics of successful mental health treatment included studies that employed the use of a home visitor and those that separated outcomes for women with previous mental health treatment. Themes that emerged as treatment obstacles included cultural barriers, physical barriers, systemic health care barriers, and social barriers. This review will help to better inform screening and treatment priorities for those in the medical field who may encounter women experiencing postpartum depression and are not aware of the various barriers to care specific to low-income women. This review will also help policymakers identify specific obstacles that are not addressed in postpartum screening mandate policies which can affect the implementation of these policies.
Expanded clay and shale aggregates for leachate collection systems

In regions dominated by high-carbonate aggregates, landfill owners are faced with using alternative materials for leachate collection systems. Expanded clay and shale, known as lightweight aggregates, contain essentially no carbonates and may provide a suitable alternative. We performed an engineering evaluation of expanded clay and shale aggregates to assess their suitability for leachate collection systems. The hydraulic conductivities of the aggregates under 350 kPa normal stress exceeded the often-specified minimum regulatory value (0.01 cm/s) by one or two orders of magnitude. The aggregate showed no deterioration after being immersed in municipal solid waste leachate for more than 60 days. Interface friction angles between the dry aggregates and smooth high-density polyethylene geomembrane at 7 kPa normal stress ranged from 23° to 27°. Based on the results of our evaluation, it is our conclusion that expanded clay and expanded shale aggregates are viable and competent materials for use in leachate collection systems in municipal solid-waste landfills.
Unsupervised Learning of Morphological Forests

This paper focuses on unsupervised modeling of morphological families, collectively comprising a forest over the language vocabulary. This formulation enables us to capture edgewise properties reflecting single-step morphological derivations, along with global distributional properties of the entire forest. These global properties constrain the size of the affix set and encourage formation of tight morphological families. The resulting objective is solved using Integer Linear Programming (ILP) paired with contrastive estimation. We train the model by alternating between optimizing the local log-linear model and the global ILP objective. We evaluate our system on three tasks: root detection, clustering of morphological families and segmentation. Our experiments demonstrate that our model yields consistent gains in all three tasks compared with the best published results.
Buckling Behavior above the Tangent Modulus Load

Inelastic buckling behavior of concentrically loaded strut having reduced rectangular cross section as mid-section; buckling model is similar to that originally used by F.R.Shanley, but in present model, solid rectangular cross section is introduced which permits detailed exploration of stress distribution across section; influence of slight differences in shape of stress strain curve is demonstrated with reference to inelastic column behavior.
Hardware-driven nonlinear activation for stochastic computing based deep convolutional neural networks

Recently, Deep Convolutional Neural Networks (DCNNs) have made unprecedented progress, achieving the accuracy close to, or even better than human-level perception in various tasks. There is a timely need to map the latest software DCNNs to application-specific hardware, in order to achieve orders of magnitude improvement in performance, energy efficiency and compactness. Stochastic Computing (SC), as a low-cost alternative to the conventional binary computing paradigm, has the potential to enable massively parallel and highly scalable hardware implementation of DCNNs. One major challenge in SC based DCNNs is designing accurate nonlinear activation functions, which have a significant impact on the network-level accuracy but cannot be implemented accurately by existing SC computing blocks. In this paper, we design and optimize SC based neurons, and we propose highly accurate activation designs for the three most frequently used activation functions in software DCNNs, i.e, hyperbolic tangent, logistic, and rectified linear units. Experimental results on LeNet-5 using MNIST dataset demonstrate that compared with a binary ASIC hardware DCNN, the DCNN with the proposed SC neurons can achieve up to 61X, 151X, and 2X improvement in terms of area, power, and energy, respectively, at the cost of small precision degradation. In addition, the SC approach achieves up to 21X and 41X of the area, 41X and 72X of the power, and 198200X and 96443X of the energy, compared with CPU and GPU approaches, respectively, while the error is increased by less than 3.07%. ReLU activation is suggested for future SC based DCNNs considering its superior performance under a small bit stream length.
Blocking device placement for mitigating the effects of geomagnetically induced currents

Geomagnetically induced currents (GICs) can cause half cycle saturation of transformers and consequently affect the power grid with harmonics and reactive power losses. To effectively mitigate the negative GIC impacts in large-scale power systems, the present paper considers the problem of placing blocking devices in transformer neutrals. The placement problem of multiple blocking devices is first considered by analytically quantifying the associated reactive power losses. A linear sensitivity analysis is further provided for the case of blocking a single transformer, and it has been observed that the effects of blocking transformer neutral currents to be mostly local. This motivates us to propose the scheme that selects multiple substations to block all high voltage level transformers therein, based on a linearized approximation model. The effectiveness of such scheme has been demonstrated using both a 20-bus GIC test case and a realistically sized larger power system.
Quantifying the Benefits of Social Insurance: Unemployment Insurance and Health

While the unemployment insurance (UI) program is one of the largest safety net programs in the United States, research on its benefits is limited. This paper exploits plausibly exogenous changes in...
RAPID DISCHARGE AFTER TOTAL KNEE ARTHROPLASTY IS SAFE IN THE MEDICARE POPULATION

INTRODUCTION Early discharge after total joint arthroplasty has started to gain acceptance in select academic centers. The purpose of this study was to compare the risk of readmission of Medicare patients discharged one day after total knee arthroplasty (TKA), versus those discharged two or three days after surgery. Our hypothesis was that patients with length of stay (LOS) of one day would not have a higher risk of readmission in a community setting. METHODS A hospital impatient database was queried for all unilateral, primary total knee replacements performed on patients 65 years or older from January 1, 2013 to December 31, 2014. A total of 1,117 patients discharged the day after TKA (reduced LOS) were compared with 947 patients discharged POD #2 or 3 (traditional LOS). All cases were performed at a community-based joint replacement center with rapid recovery protocols. Discharge timing and disposition were based on established functional benchmarks judged by physical therapy. The main outcome measure was all-cause 30-day readmissions. Multivariate logistic regression was used to calculate odds ratio for all cause 30-day readmission for reduced versus traditional LOS while controlling for age, gender, race, diabetes mellitus, ASA score (less than 3 versus 3 or greater), discharge disposition (home versus rehab). RESULTS The 30-day readmission rate for the reduced LOS group was 1.2%, as compared to 3.4% readmission rate for the traditional LOS group (p=.001). In the regression model, the traditional LOS group had an increased risk of readmission (odds ratio 2.10, 95% CI 1.02–4.35, p=0.045) when controlling for confounding factors. DISCUSSION AND CONCLUSIONS Medicare patients can be discharged safely the day after total knee arthroplasty with no increased risk of 30-day readmission in a community medical center.
The guiding influence of Stanley Mandelstam, from S-matrix theory to string theory

The guiding influence of some of Stanley Mandelstam’s key contributions to the development of theoretical high energy physics is discussed, from the motivation for the study of the analytic properties of the scattering matrix through to dual resonance models and their evolution into string theory.
Dynamic race prediction in linear time

Writing reliable concurrent software remains a huge challenge for today's programmers. Programmers rarely reason about their code by explicitly considering different possible inter-leavings of its execution. We consider the problem of detecting data races from individual executions in a sound manner. The classical approach to solving this problem has been to use Lamport's happens-before (HB) relation. Until now HB remains the only approach that runs in linear time. Previous efforts in improving over HB such as causally-precedes (CP) and maximal causal models fall short due to the fact that they are not implementable efficiently and hence have to compromise on their race detecting ability by limiting their techniques to bounded sized fragments of the execution. We present a new relation weak-causally-precedes (WCP) that is provably better than CP in terms of being able to detect more races, while still remaining sound. Moreover, it admits a linear time algorithm which works on the entire execution without having to fragment it.
Imaging tumor microenvironment with ultrasound

Recent advances in molecular biology are providing new opportunities for breast cancer imaging. Our approach uses ultrasound to image viscoelastic features of tumors. These features describe microenvironmental factors that stimulate signaling pathways in tumors that ultimately affect metastatic potential and response to traditional therapeutics. This paper explains the motivation for the approach, describes measurements in phantoms and patients, and defines measurement sensitivity using hydrogels with tissue-like features.
Can Strict Criminal Liability for Responsible Corporate Officers be Justified by the Duty to Use Extraordinary Care

The responsible corporate officer (RCO) doctrine is, as a formal matter, an instance of strict criminal liability: the government need not prove the defendant’s mens rea in order to obtain a conviction, and the defendant may not escape conviction by proving lack of mens rea. Formal strict liability is sometimes consistent with retributive principles, especially when the strict liability pertains to the grading of an offense. But is strict liability consistent with retributive principles when it pertains, not to grading, but to whether the defendant has crossed the threshold from noncriminal to criminal conduct? In this essay, I review the two most plausible arguments supporting an affirmative answer in the context of the RCO doctrine. First, perhaps this doctrine reflects a rule-like form of negligence, akin to a rule that prohibits selling alcohol to a minor. Second, perhaps this doctrine expresses a duty to use extraordinary care to prevent a harm. Neither argument is persuasive. The first argument, although valid in some circumstances, fails to explain and justify the RCO doctrine. The second argument, a duty to use extraordinary care, is also inadequate. If “extraordinary care” simply means a flexibly applied negligence standard that considers the burdens and benefits of taking a precaution, it is problematic in premising criminal liability on ordinary negligence. If instead it refers to a higher duty or standard of care, it has many possible forms, such as requiring only a very slight deviation from a permissible or justifiable standard of conduct, placing a “thumb” on the scale of the Learned Hand test, identifying an epistemic standard more demanding than a reasonable person test, or recognizing a standard that is insensitive to individual capacities. However, some of these variations present a gratuitous or incoherent understanding of “negligence,” and none of them sufficiently explain and justify the RCO doctrine.
Dual entrenchment and tax management: Classified boards and family firms

Abstract This study examines whether and how multiple managerial entrenchment devices within a firm, specifically the structure of the board of directors and family firm status, interact to influence tax management. Using a sample of 4,000 U.S. public firm-year observations covering the period 1999–2013, we find that the classified board structure and family firm status are both negatively related with tax avoidance. However, accounting for the interaction between board structure and family firm status, we also find that the negative associations between both entrenchment measures and tax management apply only where the other entrenchment mechanism is absent. In further analysis, we find that higher levels of monitoring by institutional investors neutralize the interaction between the presence of a classified board and family firm status. Our evidence highlights that governance/monitoring mechanisms can interact in complex ways, including an offsetting effect between potentially redundant dual-level entrenchment mechanisms, to influence tax management behavior.
A Technique for Measuring Data Persistence Using the Ext4 File System Journal.

In this paper, we propose a method of measuring data persistence using the Ext4 journal. Digital Forensic tools and techniques are commonly used to extract data from media. A great deal of research has been dedicated to the recovery of deleted data, however, there is a lack of information on quantifying the chance that an investigator will be successful in this endeavor. To that end, we suggest the file system journal be used as a source to gather empirical evidence of data persistence, which can later be used to formulate the probability of recovering deleted data under various conditions. Knowing this probability can help investigators decide where to best invest their resources. We have implemented a proof of concept system that interrogates the Ext4 file system journal and logs relevant data. We then detail how this information can be used to track the reuse of data blocks from the examination of file system metadata structures. This preliminary design contributes a novel method of tracking deleted data persistence that can be used to generate the information necessary to formulate probability models regarding the full and/or partial recovery of deleted data.
Prevention of Intravascular Metastases of B16 Murine Melanoma: Adjuvant Chemotherapy With Actinomycin D

Actinomycin D was tested in an experimental preparation to determine its efficacy in the prevention of intravenous metastases. B16 melanoma cells were injected intravenously in syngeneic C57/BL6 mice. Two cell lines of the tumor, designated F1 and F10, with widely different metastatic potentials, were maintained in tissue culture and utilized for evaluation of pulmonary metastases. When actinomycin D was given intraperitoneally at doses of 0.05 and 0.075 mg/kg for 5 days, the number of pulmonary metastases was significantly decreased (P less than .001) in both the F1 and F10 cell lines. Although reduction did occur with a single dose, maximum reduction of pulmonary metastases was effected with a dose schedule administered over 5 days. Evaluation of a group of mice 2 and 3 wk after injection of tumor cells revealed that the effects of actinomycin D were not secondary to delay in tumor growth but did represent highly significant differences in numbers of metastatic lesions. It is concluded that in this experimental preparation actinomycin D, given in an adjuvant setting, can significantly reduce the number of pulmonary metastases. This study may have bearing on the design of adjuvant intraoperative and perioperative chemotherapy in order to destroy circulating tumor cells.
Tests of Lorentz and CPT violation with MiniBooNE neutrino oscillation excesses

Violation of Lorentz invariance and CPT symmetry is a predicted phenomenon of Planck-scale physics. Various types of data are analyzed to search for Lorentz violation under the Standard Model Extension (SME) framework, including neutrino oscillation data. MiniBooNE is a short-baseline neutrino oscillation experiment at Fermilab. The measured excesses from MiniBooNE cannot be reconciled within the neutrino Standard Model (νSM); thus it might be a signal of new physics, such as Lorentz violation. We have analyzed the sidereal time-dependence of MiniBooNE data for signals of the possible breakdown of Lorentz invariance in neutrinos. In this brief review, we introduce Lorentz violation, the neutrino sector of the SME and the analysis of short-baseline neutrino oscillation experiments. We then present the results of the search for Lorentz violation in MiniBooNE data. This review is based on the published result.
Will Climate Change Cause Enormous Social Costs for Poor Asian Cities

Climate change could significantly reduce the quality of life for poor people in Asia. Extreme heat and drought, and the increased incidence of natural disasters will pose new challenges for the ur...
Observation of two-beam collective scattering phenomena in a Bose-Einstein condensate

Different regimes of collective light scattering are observed when an elongated Bose-Einstein condensate is pumped by two noninterfering beams counterpropagating along its long axis. In the limit of small Rayleigh scattering rates, the presence of a second pump beam suppresses superradiance, whereas at large Rayleigh scattering rates it lowers the effective threshold power for collective light scattering. In the latter regime, the quench dynamics of the two-beam system are oscillatory, compared to monotonic in the single-beam case. In addition, the dependence on power, detuning, and atom number is explored. The observed features of the two-beam system qualitatively agree with the recent theoretical prediction of a supersolid crystalline phase of light and matter at large Rayleigh scattering rates.
Protonation equilibria and pore-opening structure of the dual-histidine influenza B virus M2 transmembrane proton channel from solid-state NMR

The influenza A and B viruses are the primary cause of seasonal flu epidemics. Common to both viruses is the M2 protein, a homotetrameric transmembrane proton channel that acidifies the virion after endocytosis. Although influenza A M2 (AM2) and B M2 (BM2) are functional analogs, they have little sequence homology, except for a conserved HXXXW motif, which is responsible for proton selectivity and channel gating. Importantly, BM2 contains a second titratable histidine, His-27, in the tetrameric transmembrane domain that forms a reverse WXXXH motif with the gating tryptophan. To understand how His-27 affects the proton conduction property of BM2, we have used solid-state NMR to characterize the pH-dependent structure and dynamics of His-27. In cholesterol-containing lipid membranes mimicking the virus envelope, 15N NMR spectra show that the His-27 tetrad protonates with higher pKa values than His-19, indicating that the solvent-accessible His-27 facilitates proton conduction of the channel by increasing the proton dissociation rates of His-19. AM2 is inhibited by the amantadine class of antiviral drugs, whereas BM2 has no known inhibitors. We measured the N-terminal interhelical separation of the BM2 channel using fluorinated Phe-5. The interhelical 19F-19F distances show a bimodal distribution of a short distance of 7 A and a long distance of 15-20 A, indicating that the phenylene rings do not block small-molecule entry into the channel pore. These results give insights into the lack of amantadine inhibition of BM2 and reveal structural diversities in this family of viral proton channels.
Associations between immigrant status and pharmacological treatments for diabetes in U.S. adults.

OBJECTIVES Although treatment disparities in diabetes have been documented along racial/ethnic lines, it is unclear if immigrant groups in the United States experience similar treatment disparities. Our objective was to determine whether immigrant status is associated with differences in pharmacological treatment of diabetes in a nationally representative sample of adults with diabetes. We were specifically interested in differences in treatment with oral hypoglycemic agents (OHA) and insulin. METHOD Respondents were 2,260 adults from National Health and Nutritional Examination Survey (NHANES) 2003-2012 with a self-reported diabetes diagnosis. Immigrant status was indicated by birth within (U.S.-born) or outside (foreign-born) the 50 U.S. States or Washington, DC. Multinomial logistic regression analyses examined associations between immigrant status and (a) treatment with OHAs only and (b) treatment with insulin only or insulin and OHA combination therapy, using no treatment as the reference group. RESULTS Adjusting for demographics, diabetes severity and duration, cardiovascular disease (CVD), and CVD risk factors, being foreign-born versus U.S.-born was not associated with treatment with OHAs only (odds ratio [OR] = 1.59; 95% confidence interval [CI] [0.97, 2.60]). However, being foreign-born was associated with decreased odds (OR = 0.53; 95% CI [0.28, 0.99]) of treatment with insulin. CONCLUSIONS Pharmacological treatment of diabetes differs along immigrant status lines. To understand these findings, studies capturing the processes underlying treatment differences in diabetes among immigrants are needed. Findings raise the possibility that integrating information about a patient's immigrant status, in addition to racial/ethnic identity, may be an important component of culturally sensitive diabetes care. (PsycINFO Database Record
Left–right reversed Parties and ideology in modern Turkey

Existing analyses of the Turkish party system suggest that it is unique in several respects. Upper-class voters tend to support the Republican People’s Party (CHP), the centre-left social democratic party, while poorer voters support the right. Unlike party systems in Western democracies, expert surveys find that a religious–secular divide, and not a socio-economic divide, best explains the general left–right dimension. Qualitative literature stresses Turkey’s uniqueness due to the long history of the CHP, its close ties to the bureaucracy and military, and the role of the military in politics. Lastly, existing quantitative measures of policy positions disagree about the placement of major parties. We estimate the principal dimension of Turkish party competition using electoral manifestos as data by applying the Wordfish scaling algorithm. We find that ideology in Turkish politics is reversed, with the nominally centre-left CHP employing more populist rhetoric typically associated with right-wing parties ...
The Future Internet of Things: Secure, Efficient, and Model-Based

The Internet of Things’ (IoT’s) rapid growth is constrained by resource use and fears about privacy and security. A solution jointly addressing security, efficiency, privacy, and scalability is needed to support continued expansion. We propose a solution modeled on human use of context and cognition, leveraging cloud resources to facilitate IoT on constrained devices. We present an architecture applying process knowledge to provide security through abstraction and privacy through remote data fusion. We outline five architectural elements and consider the key concepts of the “data proxy” and the “cognitive layer.” The data proxy uses system models to digitally mirror objects with minimal input data, while the cognitive layer applies these models to monitor the system’s evolution and to simulate the impact of commands prior to execution. The data proxy allows a system’s sensors to be sampled to meet a specified quality of data target with minimal resource use. The efficiency improvement of this architecture is shown with an example vehicle tracking application. Finally, we consider future opportunities for this architecture to reduce technical, economic, and sentiment barriers to the adoption of the IoT.
Portfolio investment: Are commodities useful?

Abstract This paper examines the usefulness of commodities in an investor's portfolio. Using data on three generations of commodity indices and 15 individual commodity futures for 1991–2015, we find that incorporating most commodity products does little to improve the portfolio's Sharpe ratio especially in an out-of-sample context. The only exception is the third-generation commodity index that is based on a momentum strategy and can substantially enhance portfolio performance. When estimation errors are reduced using a shrinkage estimator, the resulting optimal portfolios are more diversified and stable over time, and importantly, commodities play a much smaller role in terms of risk reduction in portfolios.
Gilles de la Tourette, Georges

Georges Gilles de la Tourette was a student and devoted junior colleague of the more celebrated Jean-Martin Charcot. His name is associated with tic disorders (Gilles de la Tourette's syndrome or Tourette's syndrome). Outside his active academic career during Charcot's life, Gilles de la Tourette contributed very little to the lasting neurological literature after his mentor's death.
Illustrating Retirement Income for Defined Contribution Plan Participants: A Critical Analysis of the Department of Labor Proposal

The design solution for retirement income from individual accounts is the next major challenge to the evolving retirement system in the United States. In that regard, the Department of Labor has put forward a proposal to require sponsors of defined contribution plans to provide their participants with an illustration of the retirement income that might be expected from the assets held in their individual accounts through the use of an immediate fixed life annuity at retirement. Using an empirical analysis based on historical simulations, I show how the Department of Labor’s proposal, as currently formulated and with various improvements I recommend, will operate under realistic market conditions. I find that the proposal is a good start, but it can be improved by—among other changes—making the income flows gender-distinct and reflecting an inflation-indexed life annuity (with a load) rather than a nominal fixed annuity.
A validated calculator to estimate risk of cesarean after an induction of labor with an unfavorable cervix.

Background Induction of labor occurs in >20% of pregnancies, which equates to approximately 1 million women undergoing an induction in the United States annually. Regardless of how common inductions are, our ability to predict induction success is limited. Although multiple risk factors for a failed induction have been identified, risk factors alone are not enough to quantify an actual risk of cesarean for an individual woman undergoing a cesarean. Objective The objective of this study was to derive and validate a prediction model for cesarean after induction with an unfavorable cervix and to create a Web-based calculator to assist in patient counseling. Study Design Derivation and validation of a prediction model for cesarean delivery after induction was performed as part of a planned secondary analysis of a large randomized trial. A predictive model for cesarean delivery was derived using multivariable logistic regression from a large randomized trial on induction methods (n = 491) that took place from 2013 through 2015 at an academic institution. Full-term (≥37 weeks) women carrying a singleton gestation with intact membranes and an unfavorable cervix (Bishop score ≤6 and dilation ≤2 cm) undergoing an induction were included in this trial. Both nulliparous and multiparous women were included. Women with a prior cesarean were excluded. Refinement of the prediction model was performed using an observational cohort of women from the same institution who underwent an induction (n = 364) during the trial period. An external validation was performed utilizing a publicly available database (Consortium for Safe Labor) that includes information for >200,000 deliveries from 19 hospitals across the United States from 2002 through 2008. After applying the same inclusion and exclusion criteria utilized in the derivation cohort, a total of 8466 women remained for analysis. The discriminative power of each model was assessed using a bootstrap, bias-corrected area under the curve. Results The cesarean delivery rates in the derivation and external validation groups were: 27.7% (n = 136/491) and 26.4% (n = 2235/8466). In multivariable modeling, nulliparity, gestation age ≥40 weeks, body mass index at delivery, modified Bishop score, and height were significantly associated with cesarean. A nomogram and calculator were created and found to have an area under the curve in the external validation cohort of 0.73 (95% confidence interval, 0.72–0.74). Conclusion A nomogram and user-friendly Web-based calculator that incorporates 5 variables known at the start of induction has been developed and validated. It can be found at: http://www.uphs.upenn.edu/obgyn/labor-induction-calculator/ . This calculator can be used to augment patient counseling for women undergoing an induction with an unfavorable cervix.
Price-fixing policy

Abstract The prohibition against price fixing is competition law's most important and least controversial provision. Yet there is far less consensus than meets the eye on what constitutes price fixing, and prevalent understandings cannot be reconciled with principles of oligopoly theory. This article (1) presents a fundamental reconceptualization of our understanding of horizontal agreements, (2) develops a systematic analysis of price-fixing policy that focuses on its deterrence benefits and chilling costs, and (3) compares this direct approach to commentators’ favored formulations that typically involve some sort of formalistic communications-based prohibition. By targeting a subset of means rather than the illicit ends, conventional formulations tend to impose liability in cases with lower deterrence benefits and greater chilling costs than those reached under a direct approach and to incur greater administrative costs as well.
Social Impact Measurement: Current Approaches and Future Directions for Social Entrepreneurship Research:

Despite the importance of social impact to social entrepreneurship research, standards for measuring an organization’s social impact are underdeveloped on both theoretical and empirical grounds. We...
Restricted Eigenvalue from Stable Rank with Applications to Sparse Linear Regression

High-dimensional settings, where the data dimension ($d$) far exceeds the number of observations ($n$), are common in many statistical and machine learning applications. Methods based on $\ell_1$-relaxation, such as Lasso, are very popular for sparse recovery in these settings. Restricted Eigenvalue (RE) condition is among the weakest, and hence the most general, condition in literature imposed on the Gram matrix that guarantees nice statistical properties for the Lasso estimator. It is natural to ask: what families of matrices satisfy the RE condition? Following a line of work in this area, we construct a new broad ensemble of dependent random design matrices that have an explicit RE bound. Our construction starts with a fixed (deterministic) matrix $X \in \mathbb{R}^{n \times d}$ satisfying a simple stable rank condition, and we show that a matrix drawn from the distribution $X \Phi^\top \Phi$, where $\Phi \in \mathbb{R}^{m \times d}$ is a subgaussian random matrix, with high probability, satisfies the RE condition. This construction allows incorporating a fixed matrix that has an easily {\em verifiable} condition into the design process, and allows for generation of {\em compressed} design matrices that have a lower storage requirement than a standard design matrix. We give two applications of this construction to sparse linear regression problems, including one to a compressed sparse regression setting where the regression algorithm only has access to a compressed representation of a fixed design matrix $X$.
Mass Incarceration in the Heartland: Midwestern States Struggle to Tame Historically High Prison Populations

This brief essay introduces an FSR issue devoted to recent developments in sentencing-related policies in various Midwestern states. Contributions focus on Illinois, Kansas, Michigan, Minnesota, Ohio, and Wisconsin.
Enhancing radical molecular beams by skimmer cooling

A high-intensity supersonic beam source has been a key component in studies of molecular collisions, molecule-surface interaction, chemical reactions, and precision spectroscopy. However, the molecular density available for experiments in a downstream science chamber is limited by skimmer clogging, which constrains the separation between a valve and a skimmer to at least several hundred nozzle diameters. A recent experiment (Sci. Adv., 2017, 3, e1602258) has introduced a new strategy to address this challenge: when a skimmer is cooled to a temperature below the freezing point of the carrier gas, skimmer clogging can be effectively suppressed. We go beyond this proof-of-principle work in several key ways. Firstly, we apply the skimmer cooling approach to discharge-produced radical and metastable beams entrained in a carrier gas. We also identify two different processes for skimmer clogging mitigation-shockwave suppression at temperatures around the carrier gas freezing point and diffusive clogging at even lower temperatures. With the carrier clogging removed, we now fully optimize the production of entrained species such as hydroxyl radicals, resulting in a gain of 30 in density over the best commercial devices. The gain arises from both clogging mitigation and favorable geometry with a much shorter valve-skimmer distance.
Status in a strange land? Context‐dependent value of status in cross‐border venture capital

Research Summary: While recent literature has depicted status as an intangible asset that is firm‐specific and mobile, we have a limited understanding of whether status confers advantage in a way similar to other intangible assets. This study examines the macro‐structural contingencies that influence the marginal value of firm status as firms expand to new markets. Building on the literatures on status and social approval assets, as well as globalization and international management, we hypothesize that two conditions influence how valuable home‐country status will be in a given host country: the interconnectedness of the home and host countries, and their relative position in the global network. We test our hypotheses in a study of 187 venture capital (VC)‐backed biotechnology ventures in 19 countries between 1990 and 2006. Managerial Summary: Startups typically prefer high‐status VC investors for endorsements, network connections, and resources. One might expect the benefits of high‐status VCs to be even higher when they invest across borders. Yet, we show that status is ingrained in context, and that the performance advantage of partnering with high‐status cross‐border VC firms depends on the relationship between the country of the VC firm and that of the startup. We find that, when the VC industries in the two countries are more connected, the positive effect of cross‐border VC firm status on successful exit is amplified. However, when the VC firm comes from a more central country than the startup, the benefits of VC firm status are less pronounced and vice versa.
Long-term follow-up of autosomal dominant Stargardt macular dystrophy (STGD3) subjects enrolled in a fish oil supplement interventional trial.

ABSTRACTBackground: Earlier studies have raised the notion that docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA) supplementation could be a useful intervention in autosomal dominant Stargardt macular dystrophy (STGD3). We sought to assess whether fish oil supplementation has a beneficial effect on the clinical course of STGD3 secondary to a mutation in the ELOVL4 gene.Materials and Methods: Eleven patients with STGD3 were enrolled in an 8-year open-label, clinical interventional study of over-the-counter fish oil supplements at a recommended daily dose of 650 mg EPA and 350 mg DHA (NCT00420602). Subjects had annual eye examinations with complete imaging, visual function testing, and blood lipid analyses. Compliance with therapy was measured by periodic patient self-report and with serum and red blood cell biomarkers of lipid consumption. Paired sample t-tests were used to measure differences in mean values of visual acuity, lipid biomarkers, and contrast sensitivity obtained at baseline and the ...
Partial effects in binary response models using a special regressor

Abstract This paper estimates the average structural function and partial effects of endogenous regressors in binary response models using a special regressor. We present formal asymptotic theory for the proposed logistic series estimator and estimate migration probabilities within the US.
Mapping the Urban Lead Exposome: A Detailed Analysis of Soil Metal Concentrations at the Household Scale Using Citizen Science.

An ambitious citizen science effort in the city of Indianapolis (IN, USA) led to the collection and analysis of a large number of samples at the property scale, facilitating the analysis of differences in soil metal concentrations as a function of property location (i.e., dripline, yard, and street) and location within the city. This effort indicated that dripline soils had substantially higher values of lead and zinc than other soil locations on a given property, and this pattern was heightened in properties nearer the urban core. Soil lead values typically exceeded the levels deemed safe for children’s play areas in the United States (<400 ppm), and almost always exceeded safe gardening guidelines (<200 ppm). As a whole, this study identified locations within properties and cities that exhibited the highest exposure risk to children, and also exhibited the power of citizen science to produce data at a spatial scale (i.e., within a property boundary), which is usually impossible to feasibly collect in a typical research study.
Change-point detection method for clinical decision support system rule monitoring.

Abstract A clinical decision support system (CDSS) helps clinicians to manage patients, but malfunctions of its components or other systems on which it depends may affect its intended functions. Monitoring the system and detecting changes in its behavior that may indicate the malfunction can help to avoid any potential costs associated with its improper operation. In this paper, we investigate the problem of detecting changes in the CDSS operation, in particular its monitoring and alerting subsystem, by monitoring its rule firing counts. We aim to screen and detect changes in real-time, that is whenever a new datum (rule firing count) arrives, we want to have a score indicating how likely there is a change in the system. We develop a new method based on Seasonal-Trend decomposition with locally weighted regression (Loess) and likelihood ratio statistics to detect the changes. Experiments on daily rule-firing-count data collected from a real CDSS and known change-points show that our method improves the detection performance when compared with existing change-point detection methods.
Short Term Inflation Determinants in Barbados

Inflation in Barbados is mainly imported. But how are external shocks transmitted to the domestic economy? Shouldn’t there be also a domestic component, albeit very small, given the presence of capital controls? We focus on short term dynamics and contribute to the existing literature in three ways: (i) we identify the process with which inflation expectations are likely to be formed in Barbados; (ii) we add forward looking inflation expectations as one of the main channels through which external monetary shocks are transmitted to the economy; and (iii) we measure the importance of domestic shocks. We find that due to the peg, forward-looking inflation expectations in the reserve currency country are an important component of the inflation expectation process in Barbados and that they are a key channel in the international monetary transmission mechanism. Domestic factors, mainly monetary shocks, also matter given the limited degree of monetary autonomy provided by capital controls.
Genetic variant at coronary artery disease and ischemic stroke locus 1p32.2 regulates endothelial responses to hemodynamics.

Biomechanical cues dynamically control major cellular processes, but whether genetic variants actively participate in mechanosensing mechanisms remains unexplored. Vascular homeostasis is tightly regulated by hemodynamics. Exposure to disturbed blood flow at arterial sites of branching and bifurcation causes constitutive activation of vascular endothelium contributing to atherosclerosis, the major cause of coronary artery disease (CAD) and ischemic stroke (IS). Conversely, unidirectional flow promotes quiescent endothelium. Genome-wide association studies (GWAS) have identified chromosome 1p32.2 as strongly associated with CAD/IS; however, the causal mechanism related to this locus remains unknown. Using statistical analyses, assay of transposase accessible chromatin with whole-genome sequencing (ATAC-seq), H3K27ac/H3K4me2 ChIP with whole-genome sequencing (ChIP-seq), and CRISPR interference in human aortic endothelial cells (HAECs), our results demonstrate that rs17114036, a common noncoding polymorphism at 1p32.2, is located in an endothelial enhancer dynamically regulated by hemodynamics. CRISPR-Cas9–based genome editing shows that rs17114036-containing region promotes endothelial quiescence under unidirectional shear stress by regulating phospholipid phosphatase 3 (PLPP3). Chromatin accessibility quantitative trait locus (caQTL) mapping using HAECs from 56 donors, allelic imbalance assay from 7 donors, and luciferase assays demonstrate that CAD/IS-protective allele at rs17114036 in PLPP3 intron 5 confers increased endothelial enhancer activity. ChIP-PCR and luciferase assays show that CAD/IS-protective allele at rs17114036 creates a binding site for transcription factor Kruppel-like factor 2 (KLF2), which increases the enhancer activity under unidirectional flow. These results demonstrate that a human SNP contributes to critical endothelial mechanotransduction mechanisms and suggest that human haplotypes and related cis-regulatory elements provide a previously unappreciated layer of regulatory control in cellular mechanosensing mechanisms.
Tracking Sparse mmWave Channel: Performance Analysis Under Intra-Cluster Angular Spread

Millimeter-wave (mmWave) systems require a large number of antennas at both base station and user equipment for a desirable link budget. Due to time varying channel under user mobility, up-to-date channel state information (CSI) is critical to obtain the required beamforming gain. The mmWave sparse multipath channel is commonly exploited in designing tracking algorithms but practical angular spread is often overlooked. In this work, we study the performance bound of tracking accuracy in sparse mmWave channel that includes intra-cluster angular spreads. Power gain from angle-steering-based beamforming using tracked CSI is then analyzed. The theoretical study provides a design guideline beam-width in angle-steering under different intra-cluster angular spreads. We verify the results with two common tracking algorithms including sector beam tracking and maximum likelihood channel tracking.
Hot phonon and carrier relaxation in Si(100) determined by transient extreme ultraviolet spectroscopy

The thermalization of hot carriers and phonons gives direct insight into the scattering processes that mediate electrical and thermal transport. Obtaining the scattering rates for both hot carriers and phonons currently requires multiple measurements with incommensurate timescales. Here, transient extreme-ultraviolet (XUV) spectroscopy on the silicon 2p core level at 100 eV is used to measure hot carrier and phonon thermalization in Si(100) from tens of femtoseconds to 200 ps, following photoexcitation of the indirect transition to the Δ valley at 800 nm. The ground state XUV spectrum is first theoretically predicted using a combination of a single plasmon pole model and the Bethe-Salpeter equation with density functional theory. The excited state spectrum is predicted by incorporating the electronic effects of photo-induced state-filling, broadening, and band-gap renormalization into the ground state XUV spectrum. A time-dependent lattice deformation and expansion is also required to describe the excited state spectrum. The kinetics of these structural components match the kinetics of phonons excited from the electron-phonon and phonon-phonon scattering processes following photoexcitation. Separating the contributions of electronic and structural effects on the transient XUV spectra allows the carrier population, the population of phonons involved in inter- and intra-valley electron-phonon scattering, and the population of phonons involved in phonon-phonon scattering to be quantified as a function of delay time.