cssi/SciSciGPT-SciSciNet huggingface dataset:
Revamping Tribal Road Networks from Various Sources and Improving Quality

The objectives of this study were to integrate road networks to provide a comprehensive road network through the use of multiple public sources and to provide guides for performing a quality control assessment before delivering data and using the data for geospatial analysis. The study focused on the Fort Berthold Reservation in western North Dakota. A method is proposed to integrate multiple public road networks to support a tribal transportation agency. The workflow and techniques proposed are transferrable to other tribal transportation agencies. Depending on current data used for transportation planning and operations, the workflow and processes are subject to change from agency to agency, but the study provided general guidance for the agency. The study recommended that the tribal transportation agencies develop linear referencing systems on the proposed road network to adopt efficient asset management and version control. The linear referencing system should comply with state or federal guidelines f...
On the Term “Entrepreneur” and the Conceptualization of Entrepreneurship in the Literature of Classical Economics

Some of the literature on entrepreneurship suggests that the term entrepreneur was first introduced by either Cantillon or Say during the industrial revolution in the 18th and early 19th centuries. This article, by contrast, shows the term and the concept to be far older. Moreover, before the introduction of the term entrepreneur into English, the literature had a variety of other, and in some respect more nuanced, terms for entrepreneurs. Moreover, the article suggests that present-day scholars tend to misread both the pre-classical and the classical economists on the role of entrepreneurial initiative and creativity in the economy and that this has affected the conceptualization of the term in the current literature. In particular, Say’s classical presentation of the entrepreneurial process was, in essence, dialectical and thus his ideas on entrepreneurship cannot be presented properly in the context of the modern-day equilibrium based models of today’s economics.
Who cares about Demands-Abilities fit? Moderating effects of goal orientation on recruitment and organizational entry outcomes

The authors conduct three studies to systematically examine how avoiding and learning goal orientation (AGO and LGO) influence relationships between perceived demands-abilities (DA) fit and critical outcomes during three organizational entry stages. Study 1, a multilevel study using a series of mock job advertisements, shows that participant likelihood of applying for jobs for which they perceive higher DA fit increases when AGO is stronger. Study 2 finds a stronger positive relationship between perceived DA fit and internship satisfaction among interns with a stronger AGO. Study 3 finds a stronger positive relationship between perceived DA fit and organizational citizenship behavior (OCB) among new organizational entrants with a stronger AGO. Implications and future research directions regarding the importance of goal orientation during job search and organizational entry are discussed. This article is protected by copyright. All rights reserved
Referral Priority Program: Leveraging Social Ties via Operational Incentives

The referral priority program—an emerging business practice adopted by a growing number of technology companies that manage a waitlist of customers—enables existing customers on the waitlist to gai...
Polar Codes for Broadcast Channels

Polar codes are introduced for discrete memoryless broadcast channels. For $m$ -user deterministic broadcast channels, polarization is applied to map uniformly random message bits from $m$ -independent messages to one codeword while satisfying broadcast constraints. The polarization-based codes achieve rates on the boundary of the private-message capacity region. For two-user noisy broadcast channels, polar implementations are presented for two information-theoretic schemes: 1) Cover’s superposition codes and 2) Marton’s codes. Due to the structure of polarization, constraints on the auxiliary and channel-input distributions are identified to ensure proper alignment of polarization indices in the multiuser setting. The codes achieve rates on the capacity boundary of a few classes of broadcast channels (e.g., binary-input stochastically degraded). The complexity of encoding and decoding is $ O(n \log n)$ , where $n$ is the block length. In addition, polar code sequences obtain a stretched-exponential decay of $ O(2^{-n^{\beta }})$ of the average block error probability where $0 . Reproducible experiments for finite block lengths $n = 512, 1024, 2048$ corroborate the theory.
Weighted least squares methods for load estimation in distribution networks

This paper investigates two weighted least squares (WLS) approaches to the problem of load estimation (LE) in unbalanced power distribution networks: (1) the WLS load parameter method in is restated more rigorously; and (2) a constrained distribution state estimation (DSE)-based method is introduced to consider operating and loading constraints. Detailed simulation results on 394-bus radial and weakly meshed power distribution systems are evaluated through four error indices proposed by the authors previously (see Proc. IEEE Int. Symp. Circuits Syst., Pheonix, AZ, vol.5, p.697-700, 2002). The results of both methods are compared and discussed. Observability issues are also addressed.
Does segregation matter for Latinos

Abstract We estimate the effects of residential racial segregation on socio-economic outcomes for native-born Latino young adults over the past three decades. Using individual public use micro-data samples from the Census and a novel instrumental variable, we find that higher levels of metropolitan area segregation have negative effects on Latino young adults’ likelihood of being either employed or in school, on the likelihood of working in a professional occupation, and on income. The negative effects of segregation are somewhat larger for Latinos than for African Americans. Controlling for Latino and white exposure to neighborhood poverty, neighbors with college degrees, and industries that saw large increases in high-skill employment explains between one half and two thirds of the association between Latino-white segregation and Latino-white gaps in outcomes.
The Permit Power Revisited: The Theory and Practice of Regulatory Permits in the Administrative State

Duke Law Journal V OLUME 64 N OVEMBER 2014 N UMBER 2 THE PERMIT POWER REVISITED: THE THEORY AND PRACTICE OF REGULATORY PERMITS IN THE ADMINISTRATIVE STATE E RIC B IBER † & J.B. R UHL †† A BSTRACT Two decades ago, Professor Richard Epstein fired a shot at the administrative state that has gone largely unanswered in legal scholarship. His target was the “permit power,” under which legislatures prohibit a specified activity by statute and delegate to administrative agencies the discretionary power to authorize the activity under terms the agency mandates in a regulatory permit. Accurately describing the permit power as an “enormous power in the state,” Epstein bemoaned that it had “received scant attention in the academic literature.” He sought to fill that gap. Centered on the premise that the permit power represents “a complete inversion of the proper distribution of power within a legal system,” Epstein launched a scathing critique of regulatory permitting in operation, condemning it as a “racket” for administrative abuses and excesses. Copyright © 2014 Eric Biber and J.B. Ruhl. † Professor of Law, University of California, Berkeley. †† David Daniels Allen Distinguished Chair of Law, Vanderbilt University Law School. We are thankful for comments on early versions of this Article from Stavros Gadinis, Amnon Lehavi, David Markell, Anne Joseph O’Connell, Justin Pidot, Kevin Stack, Jim Rossi, Peter Schuck, and Mike Vandenbergh, and from participants in workshops at the Berkeley, Denver, and Vanderbilt law schools and the Environmental Law Institute. Waylon Bryson, Kyle Robisch, Alex Hardee, Liz Long, Cody McBride, Melissa Meghan See, Joshua Dimon, and Avery Masters provided invaluable research assistance, and our respective institutions provided the resources to support our research. Please direct any comments or questions to ebiber@law.berkeley.edu and jb.ruhl@vanderbilt.edu.
A Model of Icebergs and Sea Ice in a Joint Continuum Framework

The ice melange, a mixture of sea ice and icebergs, often present in front of outlet glaciers in Greenland or ice shelves in Antarctica, can have a profound effect on the dynamics of the ice-ocean system. The current inability to numerically model the ice melange motivates a new modeling approach proposed here. A continuum sea-ice model is taken as a starting point and icebergs are represented as thick and compact pieces of sea ice held together by large tensile and shear strength, selectively introduced into the sea-ice rheology. In order to modify the rheology correctly, an iceberg tracking procedure is implemented within a semi-Lagrangian time-stepping scheme, designed to exactly preserve iceberg shape through time. With the proposed treatment, sea ice and icebergs are considered a single fluid with spatially varying rheological properties. Mutual interactions are thus automatically included without the need for further parametrization. An important advantage of the presented framework for an ice melange model is its potential to be easily included within sea-ice components of existing climate models.
Embodied Question Answering

We present a new AI task - Embodied Question Answering (EmbodiedQA) - where an agent is spawned at a random location in a 3D environment and asked a question ('What color is the car?'). In order to answer, the agent must first intelligently navigate to explore the environment, gather necessary visual information through first-person (egocentric) vision, and then answer the question ('orange'). EmbodiedQA requires a range of AI skills - language understanding, visual recognition, active perception, goal-driven navigation, commonsense reasoning, long-term memory, and grounding language into actions. In this work, we develop a dataset of questions and answers in House3D environments [1], evaluation metrics, and a hierarchical model trained with imitation and reinforcement learning.
Target Control in Logical Models Using the Domain of Influence of Nodes

Dynamical models of biomolecular networks are successfully used to understand the mechanisms underlying complex diseases and to design therapeutic strategies. Network control, and its special case of target control, is a promising avenue toward developing disease therapies. In target control it is assumed that a small subset of nodes is most relevant to the system's state and the goal is to drive the target nodes into their desired states. An example of target control would be driving a cell to commit to apoptosis (programmed cell death). From the experimental perspective, gene knockout, pharmacological inhibition of proteins and providing sustained external signals are among practical intervention techniques. We identify methodologies to use the stabilizing effect of sustained interventions for target control in Boolean network models of biomolecular networks. Specifically, we define the domain of influence of a node (in a certain state) to be the nodes (and their corresponding states) that will be ultimately stabilized by the sustained state of this node regardless of the initial state of the system. We also define the related concept of the logical domain of influence of a node, and develop an algorithm for its identification using an auxiliary network that incorporates the regulatory logic. This way a solution to the target control problem is a set of nodes whose domain of influence can cover the desired target node states. We perform greedy randomized adaptive search in node state space to find such solutions. We apply our strategy to in silico biological network models of real systems to demonstrate its effectiveness. ffectiveness.
Early and Midlife Predictors of Wisdom and Subjective Well-Being in Old Age

Objectives We explored whether wisdom and well-being in old age are the result of early personality traits related to personality growth or personality adjustment, respectively, or successful human development as outlined by Erikson's stage theory and the life course paradigm. Method Structural equation models were applied to analyze 60-year longitudinal data of 98 white male Harvard graduates born between 1915 and 1924. Different sets of judges rated the men's childhood and adolescence, early adult personality, and midlife generativity. Items measuring wisdom and well-being in old age were self-assessed. Results Although wisdom and subjective well-being at age 80 were positively correlated, early life predictors differed. Openness to experiences in early adulthood predicted wisdom 60 years later, whereas greater emotional stability and extraversion predicted subjective well-being. Additionally, old age wisdom could be traced back to psychosocial growth throughout life, facilitated by a supportive childhood, adolescent competence, emotional stability in early adulthood, and generativity at midlife. Discussion Personality traits indicative of personality adjustment or growth differentially predict late-life well-being and wisdom. Yet a balance between personality adjustment and growth, aided by social support and competence during the formative years, might be required to promote wisdom development throughout life.
Divergent Paths: A New Perspective on Earnings Differences Between Black and White Men Since 1940

We present new evidence on the evolution of black–white earnings differences among all men, including both workers and nonworkers. We study two measures: (i) the level earnings gap—the racial earnings difference at a given quantile; and (ii) the earnings rank gap—the difference between a black man's percentile in the black earnings distribution and the position he would hold in the white earnings distribution. After narrowing from 1940 to the mid-1970s, the median black–white level earnings gap has since grown as large as it was in 1950. At the same time, the median black man's relative position in the earnings distribution has remained essentially constant since 1940, so that the improvement then worsening of median relative earnings have come mainly from the stretching and narrowing of the overall earnings distribution. Black men at higher percentiles have experienced significant advances in relative earnings since 1940, due mainly to strong positional gains among those with college educations. Large relative schooling gains by blacks at the median and below have been more than counteracted by rising return to skill in the labor market, which has increasingly penalized remaining racial differences in schooling at the bottom of the distribution.
Inverse problems for quadratic derivative nonlinear wave equations

AbstractFor semilinear wave equations on Lorentzian manifolds with quadratic derivative nonlinear terms, we study the inverse problem of determining the background Lorentzian metric. Under some con...
Many-body perturbation theory for understanding optical excitations in organic molecules and solids

Semiconductors composed of organic molecules are promising as components for flexible and inexpensive optoelectronic devices, with many recent studies aimed at understanding their electronic and optical properties. In particular, computational modeling of these complex materials has provided new understanding of the underlying properties which give rise to their excited-state phenomena. This article provides an overview of recent many-body perturbation theory (MBPT) studies of optical excitations within organic molecules and solids. We discuss the accuracy of MBPT within the GW/BSE approach in predicting excitation energies and absorption spectra, and assess the impact of two commonly used approximations, the DFT starting point and the Tamm-Dancoff approximation. Moreover, we summarize studies that elucidate the role of solid-state structure on the nature of excitons in organic crystals. These studies show that a rich physical understanding of organic materials can be obtained from GW/BSE.
Public investment, debt, and welfare: A quantitative analysis

Abstract In this paper, we examine the relationship between infrastructure investment and economic welfare in the context of a heterogeneous agent, incomplete-markets economy. Using a quantitative model to match the key aggregate and distributional features of the U.S. economy over the period 1990–2015, we show that the welfare-maximizing share of public investment in GDP depends critically on whether one internalizes the transition path between stationary equilibria or not. When welfare changes are evaluated by only comparing long-run stationary equilibria, the model implies that the government should increase infrastructure investment above its average share of 4 percent of GDP in the data. However, once the transition path and short-run dynamics are internalized, welfare-maximization generates an intertemporal trade-off in the path of infrastructure spending: a short-run increase significantly above its observed share in the data, but a long-run decline below this share to satisfy the government’s budget constraint.
Progress In Design and Applications Of CCD Cameras For Electron Microscopy

Over the last several years the long-awaited revolution in direct-digital readout systems has begun, with the introduction of efficient slow-scan CCD cameras. Earlier, the introduction of video cameras to electron microscopes had brought a quantum leap in the speed and efficiency of carrying out a host of operations. The high sensitivity of the video cameras provided the ability to see the image in much more detail and at a lower beam intensity than had been previously possible by viewing the fluorescent screen. The ability to assess, on line, characteristics such as specimen quality and image focus, even qualitatively, gave feedback to the operator that previously took hours to obtain. Due to the low resolution of these video systems, however, they were rarely useful for data recording.
Subspace Embedding and Linear Regression with Orlicz Norm

We consider a generalization of the classic linear regression problem to the case when the loss is an Orlicz norm. An Orlicz norm is parameterized by a non-negative convex function $G:\mathbb{R}_+\rightarrow\mathbb{R}_+$ with $G(0)=0$: the Orlicz norm of a vector $x\in\mathbb{R}^n$ is defined as $ \|x\|_G=\inf\left\{\alpha>0\large\mid\sum_{i=1}^n G(|x_i|/\alpha)\leq 1\right\}. $ We consider the cases where the function $G(\cdot)$ grows subquadratically. Our main result is based on a new oblivious embedding which embeds the column space of a given matrix $A\in\mathbb{R}^{n\times d}$ with Orlicz norm into a lower dimensional space with $\ell_2$ norm. Specifically, we show how to efficiently find an embedding matrix $S\in\mathbb{R}^{m\times n},m<n$ such that $\forall x\in\mathbb{R}^{d},\Omega(1/(d\log n)) \cdot \|Ax\|_G\leq \|SAx\|_2\leq O(d^2\log n) \cdot \|Ax\|_G.$ By applying this subspace embedding technique, we show an approximation algorithm for the regression problem $\min_{x\in\mathbb{R}^d} \|Ax-b\|_G$, up to a $O(d\log^2 n)$ factor. As a further application of our techniques, we show how to also use them to improve on the algorithm for the $\ell_p$ low rank matrix approximation problem for $1\leq p<2$.
Design of a De Novo Aggregating Antimicrobial Peptide and a Bacterial Conjugation-Based Delivery System

Antibacterial resistance necessitates the development of novel treatment methods for infections. Protein aggregates have recently been applied as antimicrobials to disrupt bacterial homeostasis. Past work on protein aggregates has focused on genome mining for aggregation-prone sequences in bacterial genomes rather than on rational design of aggregating antimicrobial peptides. Here, we use a synthetic biology approach to design an artificial gene encoding a de novo aggregating antimicrobial peptide. This artificial gene, opaL (overexpressed protein aggregator lipophilic), disrupts bacterial homeostasis by expressing extremely hydrophobic peptides. When this hydrophobic sequence is disrupted by acidic residues, consequent aggregation and antimicrobial effect decrease. Further, we developed a probiotic delivery system using the broad-host range conjugative plasmid RK2 to transfer the gene from donor to recipient bacteria. We utilize RK2 to mobilize a shuttle plasmid carrying opaL by adding the RK2 origin of ...
Achilles tendon structure differs between competitive distance runners and nonrunners despite no clinical signs or symptoms of midsubstance tendinopathy

In this study, we quantified the Achilles tendon substructure in distance runners, and a control group of young adults, to determine whether distance running elicits structural adaptations of the t...
Impact of a brief faculty training to improve patient-centered communication while using electronic health records

Abstract Objective Despite rapid EHR adoption, few faculty receive training in how to implement patient-centered communication skills while using computers in exam rooms. We piloted a patient-centered EHR use training to address this issue. Methods Faculty received four hours of training at Cleveland Clinic and a condensed 90-minute version at the University of Chicago. Both included a lecture and a Group-Objective Structured Clinical Exam (GOSCE) experience. Direct observations of 10 faculty in their clinical practices were performed pre- and post-workshop. Results Thirty participants (94%) completed a post-workshop evaluation assessing knowledge, attitude, and skills. Faculty reported that training was important, relevant, and should be required for all providers; no differences were found between longer versus shorter training. Participants in the longer training reported higher GOSCE efficacy, however shorter workshop participants agreed more with the statement that they had gained new knowledge. Faculty improved their patient-centered EHR use skills in clinical practice on post- versus pre-workshop ratings using a validated direct-observation rating tool. Conclusion A brief lecture and GOSCE can be effective in training busy faculty on patient-centered EHR use skills. Practice Implications Faculty training on patient-centered EHR skills can enhance patient-doctor communication and promotes positive role modeling of these skills to learners.
A Comparison of Various Approaches to Reinforcement Learning Algorithms for Multi-robot Box Pushing

In this paper, a comparison of reinforcement learning algorithms and their performance on a robot box pushing task is provided. The robot box pushing problem is structured as both a single agent problem and also a multi-agent problem. A Q-learning algorithm is applied to the single-agent box pushing problem, and three different Q-learning algorithms are applied to the multi-agent box pushing problem. Both sets of algorithms are applied on a dynamic environment that is comprised of static objects, a static goal location, a dynamic box location, and dynamic agent positions. A simulation environment is developed to test the four algorithms, and their performance is compared through graphical explanations of test results. The comparison shows that the newly applied reinforcement algorithm out-performs the previously applied algorithms on the robot box pushing problem in a dynamic environment.
Aerobiology and passive restoration of biological soil crusts

Biological soil crusts (BSCs) exist commonly on soil surfaces in many arid and semiarid areas, and disturbed soil surfaces in more mesic environments. BSCs perform many essential ecological functions. Substantial resources have been invested trying to restore or replace BSCs that have been damaged by anthropogenic disturbances, with various levels of success. The nexus of sciences related to BSC establishment and restoration, and to aerobiology suggests that crusts are established and re-established naturally via commonly occurring ecological processes. Formation of BSCs can be accelerated by implementing traditional or novel land rehabilitation techniques that create near-surface turbulence that facilitates the deposition of airborne BSC organisms. Sexual and asexual propagules of BSC organisms are found naturally in the atmosphere and are transported up to very long distances between continents and hemispheres. Whether restoration of BSCs occurs naturally in this fashion, or through efforts to produce and disseminate artificial inoculants, success is ultimately moderated and governed by the timing and frequency of adequate precipitation relative to the arrival of viable propagules on suitable substrates at appropriate times of year. For the greatest ecological and economic benefit, we suggest that efforts should focus on minimizing the scope and scale of unnecessary anthropogenic disturbance to BSC communities.
The Role of Problem Specification in Crowdsourcing Contests for Design Problems: A Theoretical and Empirical Analysis

Problem definition : This paper studies the role of seekers’ problem specification in crowdsourcing contests for design problems. Academic/practical relevance : Platforms hosting design contests of...
A progress report on the characterization and modeling of a very flexible wind turbine design

The combination of increasing turbine rotor diameters and the desire to achieve long lifetimes has placed increased emphasis on understanding the response of flexible turbine structures in a turbulent inflow environment. One approach to increase fatigue lifetimes has been to design structures that can either shed or adequately absorb turbulent loads through the use of flexible rotors and support towers, and hubs and nacelles that exhibit multiple degrees of angular freedom. The inevitable result in such designs is a substantial increase in dynamic complexity. In order to develop a sufficient knowledge of such concepts, extensive measurements coupled with detailed analytical simulations of a flexible turbine design are required. The Wind Eagle 300 turbine, with its lightweight flexible rotor and hub, meets these criteria and is currently being investigated. In this paper we discuss a few early results from our recently completed field measurement effort. We found that the turbine rotor response was dominated by a once-per-revolution oscillation that was responsible for large cyclic variations in the output power. The available evidence points to a rotor imbalance related to structural differences in one of the blades and misalignment of the pitch angles. We also compared the variation in mean out-of-plane bending loads with wind speed with a conventional rigid hub design.
A New Mechanism for Ribosome Rescue Can Recruit RF1 or RF2 to Nonstop Ribosomes

ABSTRACT Bacterial ribosomes frequently translate to the 3′ end of an mRNA without terminating at an in-frame stop codon. In all bacteria studied to date, these “nonstop” ribosomes are rescued using trans-translation. Genes required for trans-translation are essential in some species, but other species can survive without trans-translation because they express an alternative ribosome rescue factor, ArfA or ArfB. Francisella tularensis cells lacking trans-translation are viable, but F. tularensis does not encode ArfA or ArfB. Transposon mutagenesis followed by deep sequencing (Tn-seq) identified a new alternative ribosome rescue factor, now named ArfT. arfT can be deleted in wild-type (wt) cells but not in cells that lack trans-translation activity. Overexpression of ArfT suppresses the slow-growth phenotype in cells lacking trans-translation and counteracts growth arrest caused by trans-translation inhibitors, indicating that ArfT rescues nonstop ribosomes in vivo. Ribosome rescue assays in vitro show that ArfT promotes hydrolysis of peptidyl-tRNA on nonstop ribosomes in conjunction with F. tularensis release factors. Unlike ArfA, which requires RF2 for activity, ArfT can function with either RF1 or RF2. Overall, these results indicate that ArfT is a new alternative ribosome rescue factor with a distinct mechanism from ArfA and ArfB. IMPORTANCEFrancisella tularensis is a highly infectious intracellular pathogen that kills more than half of infected humans if left untreated. F. tularensis has also been classified as a potential bioterrorism agent with a great risk for deliberate misuse. Recently, compounds that inhibit ribosome rescue have been shown to have antibiotic activity against F. tularensis and other important pathogens. Like all bacteria that have been studied, F. tularensis uses trans-translation as the main pathway to rescue stalled ribosomes. However, unlike most bacteria, F. tularensis can survive without any of the known factors for ribosome rescue. Our work identified a F. tularensis protein, ArfT, that rescues stalled ribosomes in the absence of trans-translation using a new mechanism. These results indicate that ribosome rescue activity is essential in F. tularensis and suggest that ribosome rescue activity might be essential in all bacteria.
Model Agnostic Time Series Analysis via Matrix Estimation

We propose an algorithm to impute and forecast a time series by transforming the observed time series into a matrix, utilizing matrix estimation to recover missing values and de-noise observed entries, and performing linear regression to make predictions. At the core of our analysis is a representation result, which states that for a large class of models, the transformed time series matrix is (approximately) low-rank. In effect, this generalizes the widely used Singular Spectrum Analysis (SSA) in the time series literature, and allows us to establish a rigorous link between time series analysis and matrix estimation. The key to establishing this link is constructing a Page matrix with non-overlapping entries rather than a Hankel matrix as is commonly done in the literature (e.g., SSA). This particular matrix structure allows us to provide finite sample analysis for imputation and prediction, and prove the asymptotic consistency of our method. Another salient feature of our algorithm is that it is model agnostic with respect to both the underlying time dynamics and the noise distribution in the observations. The noise agnostic property of our approach allows us to recover the latent states when only given access to noisy and partial observations a la a Hidden Markov Model; e.g., recovering the time-varying parameter of a Poisson process without knowing that the underlying process is Poisson. Furthermore, since our forecasting algorithm requires regression with noisy features, our approach suggests a matrix estimation based method-coupled with a novel, non-standard matrix estimation error metric-to solve the error-in-variable regression problem, which could be of interest in its own right. Through synthetic and real-world datasets, we demonstrate that our algorithm outperforms standard software packages (including R libraries) in the presence of missing data as well as high levels of noise.
Angular interferences of sequentially ionized double-continuum wave packets

Following the recent report of energy and angle interferences in below-threshold photoexcitation Auger processes due to postcollision interactions [Wang and Robicheaux, Phys. Rev. A 98, 013421 (2018)], similar interferences are also found in double-continuum wave packets from a two-step time-delayed photoionization of a two-electron atom. Properties of the interferences are studied in detail with respect to laser pulse time widths, laser frequency chirping, and ionization time delay. The effects of these physical quantities on the resulting interferences are discussed.
Theory of cross-correlation analysis of PIV images

To improve the performance of particle image velocimetry in measuring instantaneous velocity fields, direct cross-correlation of image fields can be used in place of auto-correlation methods of interrogation of double- or multiple-exposure recordings. With improved speed of photographic recording and increased resolution of video array detectors, cross-correlation methods of interrogation of successive single-exposure frames can be used to measure the separation of pairs of particle images between successive frames. By knowing the extent of image shifting used in a multiple-exposure and by a priori knowledge of the mean flow-field, the cross-correlation of different sized interrogation spots with known separation can be optimized in terms of spatial resolution, detection rate, accuracy and reliability.
Robust Regression via Online Feature Selection Under Adversarial Data Corruption

The presence of data corruption in user-generated streaming data, such as social media, motivates a new fundamental problem that learns reliable regression coefficient when features are not accessible entirely at one time. Until now, several important challenges still cannot be handled concurrently: 1) corrupted data estimation when only partial features are accessible; 2) online feature selection when data contains adversarial corruption; and 3) scaling to a massive dataset. This paper proposes a novel RObust regression algorithm via Online Feature Selection (RoOFS) that concurrently addresses all the above challenges. Specifically, the algorithm iteratively updates the regression coefficients and the uncorrupted set via a robust online feature substitution method. Extensive empirical experiments in both synthetic and real-world data sets demonstrated that the effectiveness of our new method is superior to that of existing methods in the recovery of both feature selection and regression coefficients, with very competitive efficiency.
Witchcraft beliefs as a cultural legacy of the Atlantic slave trade: Evidence from two continents

Abstract This paper argues that the historical slave trade contributed to the propagation of persistent witchcraft beliefs on both sides of the Atlantic Ocean and establishes two key empirical patterns. First, it shows that in Sub-Saharan Africa, representatives of ethnic groups which were more heavily exposed to the Atlantic slave trade in the past are more likely to believe in witchcraft today, thus establishing a link between historical trauma and contemporary culture. Second, exploring the role of the slave trade in cultural transmission across continents, this paper finds that Afro-descendants in modern Latin America are substantially more likely to believe in witchcraft relative to other ancestral groups. Moreover, accounting for ancestry and other relevant factors, people residing in regions historically more reliant on African slave labor are also more likely to be witchcraft believers. These findings support ethnographic narratives on the connection between slave trade, slavery, and the entrenchment of witchcraft beliefs and shed light on the nature of these beliefs and related practices as a cultural framework for interpreting misfortune and a mechanism of enslavement in local communities.
Leveraging genetic interactions for adverse drug-drug interaction prediction

In light of increased co-prescription of multiple drugs, the ability to discern and predict drug-drug interactions (DDI) has become crucial to guarantee the safety of patients undergoing treatment with multiple drugs. However, information on DDI profiles is incomplete and the experimental determination of DDIs is labor-intensive and time-consuming. Although previous studies have explored various feature spaces for in silico screening of interacting drug pairs, their use of conventional cross-validation prevents them from achieving generalizable performance on drug pairs where neither drug is seen during training. Here we demonstrate for the first time targets of adversely interacting drug pairs are significantly more likely to have synergistic genetic interactions than non-interacting drug pairs. Leveraging genetic interaction features and a novel training scheme, we construct a gradient boosting-based classifier that achieves robust DDI prediction even for drugs whose interaction profiles are completely unseen during training. We demonstrate that in addition to classification power—including the prediction of 432 novel DDIs—our genetic interaction approach offers interpretability by providing plausible mechanistic insights into the mode of action of DDIs.
Robert C. Merton and the Science of Finance

Starting with his 1970 doctoral dissertation and continuing to today, Robert C. Merton has revolutionized the theory and practice of finance. In 1997, Merton shared a Nobel Prize in Economics “for ...
Expectation Formation Following Large Unexpected Shocks

Abstract By matching a large database of individual macroforecaster data with the universe of sizable natural disasters across 54 countries, we identify a set of new stylized facts: forecasters are...
Chronic unpredictable stress promotes cell-specific plasticity in prefrontal cortex D1 and D2 pyramidal neurons.

Exposure to unpredictable environmental stress is widely recognized as a major determinant for risk and severity in neuropsychiatric disorders such as major depressive disorder, anxiety, schizophrenia, and PTSD. The ability of ostensibly unrelated disorders to give rise to seemingly similar psychiatric phenotypes highlights a need to identify circuit-level concepts that could unify diverse factors under a common pathophysiology. Although difficult to disentangle a causative effect of stress from other factors on medial prefrontal cortex (PFC) dysfunction, a wealth of data from humans and rodents demonstrates that the PFC is a key target of stress. The present study sought to identify a model of chronic unpredictable stress (CUS) which induces affective behaviors in C57BL6J mice and once established, measure stress-related alterations in intrinsic excitability and synaptic regulation of mPFC layer 5/6 pyramidal neurons. Adult male mice received 2 weeks of 'less intense' stress or 2 or 4 weeks of 'more intense' CUS followed by sucrose preference for assessment of anhedonia, elevated plus maze for assessment of anxiety and forced swim test for assessment of depressive-like behaviors. Our findings indicate that more intense CUS exposure results in increased anhedonia, anxiety, and depressive behaviors, while the less intense stress results in no measured behavioral phenotypes. Once a behavioral model was established, mice were euthanized approximately 21 days post-stress for whole-cell patch clamp recordings from layer 5/6 pyramidal neurons in the prelimbic (PrL) and infralimbic (IL) cortices. No significant differences were initially observed in intrinsic cell excitability in either region. However, post-hoc analysis and subsequent confirmation using transgenic mice expressing tdtomato or eGFP under control of dopamine D1-or D2-type receptor showed that D1-expressing pyramidal neurons (D1-PYR) in the PrL exhibit reduced thresholds to fire an action potential (increased excitability) but impaired firing capacity at more depolarized potentials, whereas D2-expressing pyramidal neurons (D2-PYR) showed an overall reduction in excitability and spike firing frequency. Examination of synaptic transmission showed that D1-and D2-PYR exhibit differences in basal excitatory and inhibitory signaling under naive conditions. In CUS mice, D1-PYR showed increased frequency of both miniature excitatory and inhibitory postsynaptic currents, whereas D2-PYR only showed a reduction in excitatory currents. These findings demonstrate that D1-and D2-PYR subpopulations differentially undergo stress-induced intrinsic and synaptic plasticity that may have functional implications for stress-related pathology, and that these adaptations may reflect unique differences in basal properties regulating output of these cells.
Geometric tiles and powers and limitations of geometric hindrance in self-assembly

Tile-based self-assembly systems are capable of universal computation and algorithmically-directed growth. Systems capable of such behavior typically make use of “glue cooperation” in which the glues on at least 2 sides of a tile must match and bind to those exposed on the perimeter of an assembly for that tile to attach. However, several models have been developed which utilize “weak cooperation”, where only a single glue needs to bind but other preventative forces (such as geometric, or steric, hindrance) provide additional selection for which tiles may attach, and where this allows for algorithmic behavior. In this paper we first work in a model where tiles are allowed to have geometric bumps and dents on their edges. We show how such tiles can simulate systems of square tiles with complex glue functions (using asymptotically optimal sizes of bumps and dents). We also show that with only weak cooperation via geometric hindrance, no system in any model can simulate even a class of tightly constrained, deterministic cooperative systems, further defining the boundary of what is possible using this tool.
Writing a wrong: Coupled RNA polymerase II transcription and RNA quality control

Processing and maturation of precursor RNA species is coupled to RNA polymerase II transcription. Co-transcriptional RNA processing helps to ensure efficient and proper capping, splicing, and 3' end processing of different RNA species to help ensure quality control of the transcriptome. Many improperly processed transcripts are not exported from the nucleus, are restricted to the site of transcription, and are in some cases degraded, which helps to limit any possibility of aberrant RNA causing harm to cellular health. These critical quality control pathways are regulated by the highly dynamic protein-protein interaction network at the site of transcription. Recent work has further revealed the extent to which the processes of transcription and RNA processing and quality control are integrated, and how critically their coupling relies upon the dynamic protein interactions that take place co-transcriptionally. This review focuses specifically on the intricate balance between 3' end processing and RNA decay during transcription termination. This article is categorized under: RNA Turnover and Surveillance > Turnover/Surveillance Mechanisms RNA Processing > 3' End Processing RNA Processing > Splicing Mechanisms RNA Processing > Capping and 5' End Modifications.
Montastraea cavernosa corallite structure demonstrates distinct morphotypes across shallow and mesophotic depth zones in the Gulf of Mexico

This study assessed morphological variation of the depth-generalist coral Montastraea cavernosa across shallow and mesophotic coral ecosystems in the Gulf of Mexico (GOM) using thirteen corallite metrics. While corallite structure differed significantly across sites, we observed that mean corallite diameters were smaller and spacing was greater in mesophotic corals as compared to shallow corals. Additional corallite variation, including greater mean corallite height of mesophotic samples, are hypothesized to be photoadaptive responses to low light environments. Multivariate analyses also revealed two distinct morphotypes identified by significant variation in corallite spacing with >90% accuracy. A ‘shallow’ morphotype was characterized by larger, more closely-spaced corallites, while a ‘depth-generalist’ type exhibited smaller, further-spaced corallites. Variable presence of morphotypes within some sites suggests genotypic influence on corallite morphology as there was a slight, but significant, impact of morphotype on genetic structure within shallow zones in the Flower Garden Banks. Patterns of increased algal symbiont (Symbiodiniaceae) density and chlorophyll concentration were retained in the depth-generalist morphotype even in shallow zones, identifying multiple photoadaptive strategies between morphotypes. The results of this study suggest that morphological variation among M. cavernosa represents a combination of genotypic variation and phenotypic plasticity rather than responses to environmental stimuli alone.
Parental Perceptions of Displayed Patient Data in a PICU: An Example of Unintentional Empowerment.

Objectives:To explore the perceptions of parents of pediatric patients in a PICU regarding real-time open electronic health record data displayed in patient rooms.Design:Cross-sectional qualitative interview study.Setting:PICU in a large Midwestern tertiary-care children’s hospital.Subjects:Parents
Endothelial Stem and Progenitor Cells for Regenerative Medicine

Vascular endothelial stem cell (VESC) and progenitor cell are emerging as local resident regulators of vascular endothelial repair and replacement in mammalian subjects. However, widely recognized and accepted standard measures of stem cell function have yet to be published and, thus, we summarize some recent evidence that VESCs demonstrate stem cell properties in the process of endothelial cell (EC) lineage emergence, repair, and regeneration. Some rare resident ECs have been identified that are quiescent and reside within blood vessels but are activated and proliferate in response to injury. Transcriptome analyses of these ECs at a single cell level are providing new insights into VESC identity, including tissue specific EC heterogeneity. Blood vessels and circulating blood contain rare immature ECs that display stem cell potential. Continuous efforts to define their precise location, origin, surface marker, and molecular signatures would enhance current approaches for purification of cells that would enable us to build new vessels for regenerative medicine.
If You Tweet, They Will Follow: CEO Tweets, Social Capital, and Investor Say-on-Pay Judgments

Chief Executive Officers (CEO) are increasingly using social media to disclose information and communicate with investors. Although findings from archival research show some benefits to social medi...
Oxorhenium-catalyzed deoxydehydration of glycols and epoxides

Abstract The conversion of renewable cellulosic biomass into hydrocarbons has attracted significant attention with a growing demand of sustainability. MeReO3 catalyzes the deoxydehydration (DODH) of glycols and epoxides to alkenes by primary and secondary alcohols (5-nonanol, 3-octanol, 1-butanol) in the benzene solvent. The product yield range from moderate to excellent.
One pot electrochemical synthesis of 10,10′-bisvindoline by an oxidation-reduction sequence

Abstract Anodic oxidation of vindoline, 1, at the controlled potential of Pt-electrode (E=1.1 V vs. SCE) followed by the reduction (E=0.0 V vs. SCE) of the formed intermediate 2a gave 10,10′-bisvindoline, 2, in 60% yield.
Mitsunobu Reaction of Unbiased Cyclic Allylic Alcohols

The stereochemical inversion of unbiased allylic alcohols using triphenylphosphine, diethyl azodicarboxylate, and benzoic acid, commonly known as the Mitsunobu reaction, was studied in three different solvents with specific attention toward the product composition. The results generated for the Mitsunobu reaction of (R)-3-deuterio-2-cyclohexen-1-ol and the cis and trans isomers of 1-deuterio-5-methyl-2-cyclohexen-1-ol, 1-deuterio-5-tert-butyl-2-cyclohexen-1-ol, and optically active cis and trans 5-isopropyl-2-methyl-2-cyclohexen-1-ol all gave similar product distributions with respect to inversion and retention at the carbinol center as well-as syn and anti S(N)2' type addition when THF or benzene was used as the solvent (CH(2)Cl(2) gave less selective product distributions). Interestingly, it was found that the quasi-equatorial and quasi-axial nature of the starting allylic alcohol does not appear to affect the product distribution for this reaction, nor does methyl substitution at the central carbon of the allylic alcohol. In all cases, significant amounts (8-28%) of non-S(N)2 type products were detected for these sterically unbiased allylic alcohols; only 72-77% of the product was from S(N)2 type reaction when sterically undemanding (R)-3-deuterio-2-cyclohexen-1-ol was subjected to Mitsunobu conditions.
Highly Regioselective Fluorination and Iodination of Alkynyl Enolates

A simple yet efficient approach to various functionalized quaternary α-alkynyl α-fluoro esters and γ-iodoallenoates from readily available allenoates through an alkynyl enolate intermediate generated by LDA is presented. Reaction of this alkynyl enolate with NFSI gives the α-product (α-alkynyl-α-fluoro ester), whereas the reaction of the silyl ether of alkynyl enolate with I2 gives solely the γ-product (iodoallenoate).