cssi/SciSciGPT-SciSciNet huggingface dataset:
DOES PRIOR SHOULDER SURGERY NEGATIVELY IMPACT SHOULDER ARTHROPLASTY OUTCOMES

Introduction The impact of prior ipsilateral shoulder surgery on outcomes following total shoulder arthroplasty (TSA) and reverse total shoulder arthroplasty (RSA) is unknown. The purpose of this study was to determine the impact of prior shoulder surgery on patients undergoing TSA and RSA compared to patients without prior shoulder surgery. The hypothesis was that patients undergoing arthroplasty after prior ipsilateral shoulder surgery would have inferior outcomes with higher complication rates compared to patients undergoing arthroplasty without having undergone prior surgery. Materials and Methods Seven-hundred fifteen consecutive patients undergoing TSA or RSA between 1/2010 and 5/2014 with a minimum 2-year follow-up were prospectively analyzed. All patients were evaluated with the American Shoulder and Elbow Society (ASES), Simple Shoulder Test (SST), Functional Score, Visual Analog Scale (VAS) outcomes assessments, as well as with physical examination including range of motion assessments. Outcomes in patients undergoing prior ipsilateral shoulder surgery (PS group) were compared to those in patients without history of prior surgery (NPS group). Statistical analysis was performed using one-way univariate and multivariate analysis of covariates (ANCOVA/MANCOVA) adjusting for age, Whitney-Mann U tests, and Chi-square or Fisher9s exact test, with P Results Of the 715 patients, 506 (263 TSA, 243 RSA) were available for analysis (71% follow-up rate). A total of 144 patients (29%) underwent an average of 2.0±1.1 ipsilateral shoulder surgeries, prior to arthroplasty while 362 (71%) did not undergo prior surgery. In the PS Group, rotator cuff repair (RCR) accounted for 67% of the prior surgeries. PS group patients were significantly younger at the time of arthroplasty compared to the NPS group (61.6±10.2 vs. 68.2±8.6 years, P=0.035). At an average follow-up of 42.8±16.4 months, both groups had significant improvements in ASES, SST, and VAS outcomes scores and range of motion values (P Conclusions While patients who have undergone prior ipsilateral shoulder surgery derive benefit from shoulder arthroplasty, these patients are significantly younger, have significantly more complications, and their magnitude of improvement and final scores are significantly lower than patients without prior surgery. This information can be used to counsel this challenging patient population on expected outcomes following shoulder arthroplasty procedures.
Standard Model from Broken Scale Invariance in the Infrared

As we have recently shown, the minimal fractal manifold (MFM) describes the underlying structure of spacetime near or above the electroweak scale ( M EW ≈ 246 GeV). Here we uncover the connection between quantum field operators and the MFM starting from the operator product expansion of high-energy Quantum Field Theory (QFT). The approach confirms that the Standard Model of particle physics (SM) stems from a symmetry breaking mechanism that turns the spacetime continuum into a MFM.
Linking job-relevant personality traits, transformational leadership, and job performance via perceived meaningfulness at work: A moderated mediation model.

By integrating the fundamental principles of the theory of purposeful work behavior (TPWB; Barrick, Mount, & Li, 2013) with cognitive-affective personality system (CAPS) theory (Mischel, 1977; Mischel & Shoda, 1995), we examine how and when salespeople’s job-relevant personality traits relate to the
Jarzynski Equality for Driven Quantum Field Theories

The fluctuation theorems, and in particular, the Jarzynski equality, are the most important pillars of modern nonequilibrium statistical mechanics. We extend the quantum Jarzynski equality together with the two-time measurement formalism to their ultimate range of validity—to quantum field theories. To this end, we focus on a time-dependent version of scalar ϕ^4. We find closed-form expressions for the resulting work distribution function, and we find that they are proper physical observables of the quantum field theory. Also, we show explicitly that the Jarzynski equality and Crooks fluctuation theorems hold at one-loop order independent of the renormalization scale. As a numerical case study, we compute the work distributions for an infinitely smooth protocol in the ultrarelativistic regime. In this case, it is found that work done through processes with pair creation is the dominant contribution.
The Labour of Sharing: Three Discourses on the Division of Labour in Couchsurfing

Despite the upsurge in interest in the so-called sharing economy, as yet there is relatively little theorizing of this rapidly growing economic phenomenon in organization studies. In this paper, I ...
Research Review: Gender identity in youth: treatment paradigms and controversies

Background Pediatric gender identity has gained increased attention over the past several years in the popular media, political arena, and medical literature. This article reviews terminology in this evolving field, traditional models of gender identity development and their limitations, epidemiology and natural history of cross-gender identification among children and adolescents, co-occurring conditions and behaviors, research into the biological and psychosocial determinants of cross-gender identification, and research into the options regarding and benefits of clinical approaches to gender incongruent youth. Methods Based on a critical review of the extant literature, both theoretical and empirical, that addresses the issue of pediatric gender identity, the authors synthesized what is presently known and what is in need of further research in order to elucidate the developmental trajectory and clinical needs of gender diverse youth. Results The field of pediatric gender identity has evolved substantially over the past several years. New research suggests that cross-gender identification is prevalent (approximately 1% of youth). These youth suffer disproportionately high rates of anxiety, depression, and suicidality. Although research into the etiology of cross-gender identification is limited, emerging data have shown that affirmative treatment protocols may improve the high rates of mental health difficulties seen among these patients. Conclusions The field of pediatric gender identity has evolved dramatically. Emerging data suggest that these patients’ high rates of anxiety, depression, and suicidality appear to be improved with affirmative protocols, although future longitudinal data are needed.
Coherence-generating power of quantum dephasing processes

We provide a quantification of the capability of various quantum dephasing processes to generate coherence out of incoherent states. The measures defined, admitting computable expressions for any finite Hilbert-space dimension, are based on probabilistic averages and arise naturally from the viewpoint of coherence as a resource. We investigate how the capability of a dephasing process (e.g., a nonselective orthogonal measurement) to generate coherence depends on the relevant bases of the Hilbert space over which coherence is quantified and the dephasing process occurs, respectively. We extend our analysis to include those Lindblad time evolutions which, in the infinite-time limit, dephase the system under consideration and calculate their coherence-generating power as a function of time. We further identify specific families of such time evolutions that, although dephasing, have optimal (over all quantum processes) coherence-generating power for some intermediate time. Finally, we investigate the coherence-generating capability of random dephasing channels.
PTEN-Dependent Stabilization of MTSS1 Inhibits Metastatic Phenotype in Pancreatic Ductal Adenocarcinoma

Pancreatic ductal adenocarcinoma (PDAC) presents at metastatic stage in over 50% of patients. With a survival rate of just 2.7% for patients presenting with distant disease, it is imperative to uncover novel mechanisms capable of suppressing metastasis in PDAC. Previously, we reported that the loss of metastasis suppressor protein 1 (MTSS1) in PDAC cells results in significant increase in cellular migration and invasion. Conversely, we also found that overexpressing MTSS1 in metastatic PDAC cell lines corresponds with not only decreased metastatic phenotype, but also greater overall survival. While it is known that MTSS1 is downregulated in late-stage PDAC, the mechanism behind that loss has not yet been elucidated. Here, we build off our previous findings to present a novel regulatory mechanism for the stabilization of MTSS1 via the tumor suppressor protein phosphatase and tensin homolog (PTEN). We show that PTEN loss in PDAC cells results in a decrease in MTSS1 expression and increased metastatic potential. Additionally, we demonstrate that PTEN forms a complex with MTSS1 in order to stabilize and protect it from proteasomal degradation. Finally, we show that the inflammatory tumor microenvironment, which makes up over 90% of PDAC tumor bulk, is capable of downregulating PTEN expression through secretion of miRNA-23b, potentially uncovering a novel extrinsic mechanism of MTSS1 regulation. Collectively, these data offer new insight into the role and regulation of MTSS1in suppressing tumor cell invasion and migration and help shed light as to what molecular mechanisms could be leading to early cell dissemination in PDAC.
Promoting Conceptual Thinking in Four Upper-Elementary Mathematics Classrooms:

Informed by theory and research in inquiry-based mathematics, this study examined how classroom practices create a press for conceptual learning. Using videotapes of a lesson on the addition of fra...
Effects of Surface Preparation on Epitaxial GaN on 6H-SiC Deposited Via MOCVD

A comparison was made of 6H-SiC surfaces etched with H2, C2H4/H2, and HCl/H2, and the resulting crystal quality of epitaxial GaN films deposited on these substrates. To remove the many fine scratches and to smooth the rough surfaces typical of commercial SiC substrates, the Si-face 6H-SiC substrates were etched in H2, C2H4/H2, and HCl/H2 at 145 °C. GaN was subsequently deposited on these etched surfaces after first depositing a low temperature GaN buffer layer via metalorganic chemical vapor deposition (MOCVD). The surface morphologies after etching and after GaN deposition were characterized by atomic force microscopy and Normaski differential interference contrast microscopy, while the crystal quality of the GaN films was assessed by double crystal x-ray rocking curves and x-ray topography. 6H-SiC substrate surfaces were improved in terms of the removal of scratches and the reduction of surface roughness, and both surface morphology and crystal quality of the subsequently deposited GaN films were enhanced. However, the dislocation density was not decreased by the surface etching. The best GaN film was produced by etching the substrate in pure H2 for 40 minutes before growth. Recommendations for the optimum substrate treatment are made.
Antihypertensive Medication and Dementia Risk in Older Adult African Americans with Hypertension: A Prospective Cohort Study

African Americans are especially at risk of hypertension and dementia. Antihypertensive medications reduce the risk of cardiovascular events, but may also reduce the risk of dementia. To assess the longitudinal effects of antihypertensive medications and blood pressure on the onset of incident dementia in a cohort of African Americans. Prospective cohort. 1236 community-dwelling patients from an inner-city public health care system, aged 65 years and older, with a history of hypertension but no history of dementia, and who had at least three primary care visits and a prescription filled for any medication. Blood pressure was the average of three seated measurements. Dementia was diagnosed using a two-stage design, with a screening evaluation every 2 to 3 years followed by a comprehensive in-home clinical evaluation for those with a positive screen. Laboratory, inpatient and outpatient encounter data, coded diagnoses and procedures, and medication records were derived from a health information exchange. Of the 1236 hypertensive participants without dementia at baseline, 114 (9%) developed incident dementia during follow-up. Individuals prescribed any antihypertensive medication (n = 816) were found to have a significantly reduced risk of dementia (HR = 0.57, 95% CI 0.37–0.88, p = 0.0114) compared to untreated hypertensive participants (n = 420). When this analysis was repeated including a variable indicating suboptimally treated blood pressure (> 140 mmHg systolic or >90 mmHg diastolic), the effect of antihypertensive medication was no longer statistically significant (HR = 0.65, 95% CI 0.32–1.30, p = 0.2217). Control of blood pressure in older adult African American patients with hypertension is a key intervention for preventing dementia, with similar benefits from most of the commonly available antihypertensive medications.
The complexities of grasping in the wild

The recent ubiquity of high-framerate (120 fps and higher) handheld cameras creates the opportunity to study human grasping at a greater level of detail than normal speed cameras allow. We first collected 91 slow-motion interactions with objects in a convenience store setting. We then annotated the actions through the lenses of various existing manipulation taxonomies. We found manipulation, particularly the process of forming a grasp, is complicated and proceeds quickly. Our dataset shows that there are many ways that people deal with clutter in order to form a strong grasp of an object. It also reveals several errors and how people recover from them. Though annotating motions in detail is time-consuming, the annotation systems we used nevertheless leave out important aspects of understanding manipulation actions, such as how the environment is functioning as a “finger” of sorts, how different parts of the hand can be involved in different grasping tasks, and high-level intent.
A robust approach to chance constrained optimal power flow with renewable generation

Optimal Power Flow (OPF) dispatches controllable generation at minimum cost subject to operational constraints on generation and transmission assets. The uncertainty and variability of intermittent renewable generation is challenging current deterministic OPF approaches. Recent formulations of OPF use chance constraints to limit the risk from renewable generation uncertainty, however, these new approaches typically assume the probability distributions which characterize the uncertainty and variability are known exactly. We formulate a Robust Chance Constrained (RCC) OPF that accounts for uncertainty in the parameters of these probability distributions by allowing them to be within an uncertainty set. The RCC OPF is solved using a cutting-plane algorithm that scales to large power systems. We demonstrate the RRC OPF on a modified model of the Bonneville Power Administration network, which includes 2209 buses and 176 controllable generators. Deterministic, chance constrained (CC), and RCC OPF formulations are compared using several metrics including cost of generation, area control error, ramping of controllable generators, and occurrence of transmission line overloads as well as the respective computational performance.
Silver Fluoride as a Treatment for Dental Caries

Medical management of caries is a distinct treatment philosophy that employs topical minimally invasive therapies that treat the disease and is not merely prevention. This strategy is justified as ...
Chromatin Configuration Affects the Dynamics and Distribution of a Transiently Interacting Protein.

We present a theoretical study of the interaction between a protein (diffusing particle) with chromatin (polymer chain). Each monomer is a trap where a particle can transiently bind. We derive novel formulas for the transition rate between monomer sites, given a specific polymer configuration, and find that a particle is likely to rapidly rebind many times to its release site, before moving to another. The reattachment probability is larger when the local density around the release site is smaller. Interestingly, for an equilibrated polymer, the transition probability decays as a power-law for close monomer-to-monomer distances and reaches an asymptotic value for faraway ones. By computing the transition rate between monomers, we show that the problem of facilitated search by a protein can be mapped to a continuous time Markov chain, which we solve. Our findings suggest that proteins may be locally trapped for a time much longer than their dissociation time, while their overall motion is ergodic. Our results are corroborated by Brownian simulations.
Are Changes in Physical Work Capacity Induced by High-Intensity Functional Training Related to Changes in Associated Physiologic Measures?

High-Intensity Functional Training (HIFT) is a novel exercise intervention that may test body systems in a balanced and integrated fashion by challenging individuals’ abilities to complete mechanical work. However, research has not previously determined if physical work capacity is unique to traditional physiologic measures of fitness. Twenty-five healthy men and women completed a six-week HIFT intervention with physical work capacity and various physiologic measures of fitness assessed pre- and post-intervention. At baseline, these physiologic measures of fitness (e.g., aerobic capacity) were significantly associated with physical work capacity and this relationship was even stronger at post-intervention assessment. Further, there were significant improvements across these physiologic measures in response to the delivered intervention. However, the change in these physiologic measures failed to predict the change in physical work capacity induced via HIFT. These findings point to the potential utility of HIFT as a unique challenge to individuals’ physiology beyond traditional resistance or aerobic training. Elucidating the translational impact of increasing work capacity via HIFT may be of great interest to health and fitness practitioners ranging from strength/conditioning coaches to physical therapists.
Head and neck cancers associated with exposure to the September 11, 2001 World Trade Center terrorist attacks.

Exposure at the World Trade Center (WTC) terrorist collapse site on September 11, 2001 has been associated with increased cancer risk, though observational studies have identified very few cases of head and neck cancer (HNC) in exposed individuals. Eighty seven patients were identified who presented to our institution with HNC diagnosed from 2002 to 2017 who reported WTC exposure. The annual number and proportion of WTC-exposed HNC patients has been steadily increasing since 2002, with most cancers developing >10 years following the event. Furthermore, WTC-exposed patients with human papillomavirus (HPV)-positive OPC experienced significantly inferior outcomes compared with non-WTC exposed patients with HPV+ OPC (disease free survival 80.1% vs. 65.6% at 4 years, p = 0.04). This single institution study cannot establish evidence of exposure-mediated causation but higher recurrence rates in the WTC-exposed HPV+ OPC population suggest a treatment refractory tumor biology and possible exposure synergism with HPV-mediated oncogenesis.
An Application of Econometric Models to International Marketing

Currently available econometric techniques provide useful information for measuring international markets. A key aspect of these techniques is the use of an extensive a priori analysis, which is demonstrated in a study of the international market for still cameras.
The Postdoc Queue: A Labour Force in Waiting

Postdoctoral fellows (postdocs) comprise a large sector of the US scientific workforce. A substantial majority of postdocs are in a holding pattern, seeking tenure‐track assistant professorships. We model the postdoc population as a labour force in waiting—in queue. Postdocs enter the queue as they start their first postdoctoral appointment, and they leave in one of two ways: (i) obtaining the ‘queue service’ desired by the majority of postdocs, that is, an assistant professorship, or (2) reneging from the queue and seeking other positions. Using recent data from the US Survey of Doctorate Recipients, we show that the postdoc queue is one of those rare queueing systems where most of the queuers eventually renege rather than receive service. We find that only about 17% of postdocs ultimately land tenure‐track positions. The mean time in queue (postdoc career length) is 2.9 years, with significant variations across disciplines. We discuss policy implications. © 2018 John Wiley & Sons, Ltd.
Systemic expression of galectin genes in periparturient goats

Abstract The goat industry is one of the major sources of food and protein consumed worldwide. The growth of this industry is faced by challenges such as infection and pathogens. Parturition is a very dynamic period. The coincidental occurrence of periparturient immune suppression and a rise in the shedding of parasite eggs pose a challenge for animal health and production. Galectins constitute an evolutionarily conserved family of β-galactoside-binding proteins. They regulate innate and adaptive immunity and homeostasis. Expression of Galectins may regulate periparturient immune suppression. Galectin gene expression was studied in goat blood during the periparturient period. Body weight, body condition and FAMACHA scores, and fecal and blood samples were collected from Five BoerXSpanish goats at 14 days and 7 days after parturition. Fecal samples were used to assess parasite load. Total RNA was isolated from blood using Trizol and converted to cDNA for real-time PCR using specific primers for goat LGALs-1, -2, -3, -4, -7, -8, -9, -11, -12, -14, -15, -16, and ligand Gal3bp, T-cell immunoglobulin domain, and mucin domain 3(TIM-3). Beta-actin and GAPDH housekeeping genes were used as internal controls. Fold changes in transcript abundance were compared to non-pregnant goats and calculated using the Livak method. Secretion of GALS-1, -3 and -9 in plasma was detected using ELISA. Data were analyzed using SAS 9.4 and Pearson correlations (p
Sparse linear discriminant analysis in structured covariates space

Classification with high dimensional variables is a popular goal in many modern statistical studies. Fisher's linear discriminant analysis (LDA) is a common and effective tool for classifying entities into existing groups. It is well known that classification using Fisher's discriminant for high dimensional data is as bad as random guessing due to the many noise features that increases misclassification rate. Recently, it is being acknowledged that complex biological mechanisms occur through multiple features working together, though individually these features may contribute to noise accumulation in the data. In view of these, it is important to perform classification with discriminant vectors that use a subset of important variables, while also utilizing prior biological relationships among features. We tackle this problem in this article and propose methods that incorporate variable selection into the classification problem, for the identification of important biomarkers. Furthermore, we incorporate into the LDA problem prior information on the relationships among variables using undirected graphs in order to identify functionally meaningful biomarkers. We compare our methods to existing sparse LDA approaches via simulation studies and real data analysis.
What's ur Type? Contextualized Classification of User Types in Marijuana-Related Communications Using Compositional Multiview Embedding

With 93% of pro-marijuana population in US favoring legalization of medical marijuana, high expectations of a greater return for Marijuana stocks, and public actively sharing information about medical, recreational and business aspects related to marijuana, it is no surprise that marijuana culture is thriving on Twitter. After the legalization of marijuana for recreational and medical purposes in 29 states, there has been a dramatic increase in the volume of drug-related communications on Twitter. Specifically, Twitter accounts have been established for promotional and informational purposes, some prominent among them being American Ganja, Medical Marijuana Exchange, and Cannabis Now. Identification and characterization of different user types can allow us to conduct more fine-grained spatiotemporal analysis to identify dominant or emerging topics in the echo chambers of marijuana-related communities on Twitter. In this research, we mainly focus on classifying Twitter accounts created and run by ordinary users, retailers, and informed agencies. Classifying user accounts by type can enable better capturing and highlighting of aspects such as trending topics, business profiling of marijuana companies, and state-specific marijuana policymaking. Furthermore, type-based analysis can provide more profound understanding and reliable assessment of the implications of marijuana-related communications. We developed a comprehensive approach to classifying users by their types on Twitter through contextualization of their marijuana-related conversations. We accomplished this using compositional multiview embedding synthesized from People, Content, and Network views achieving 8% improvement over the empirical baseline.
Consumption trends and the warehouse club retail format

Is there is a connection between the emergence of the warehouse clubs and Americans’ unparalleled consumption levels? Since emerging in 1983, warehouse club growth has outpaced that of traditional grocery stores. Individual consumption in the US has grown concurrently. Using standard principles from microeconomics, we postulate that consumers’ increasing acquisitiveness is sufficient to explain (i) why warehouse clubs have grown at a faster rate than the traditional retailers; and (ii) how the emergence of the warehouse club may have accelerated the growth in personal consumption.
An Efficient Algorithm for Automatic Structure Optimization in X-ray Standing-Wave Experiments

Abstract X-ray standing-wave photoemission experiments involving multilayered samples are emerging as unique probes of the buried interfaces that are ubiquitous in current device and materials research. Such data require for their analysis a structure optimization process comparing experiment to theory that is not straightforward. In this work, we present a new computer program for optimizing the analysis of standing-wave data, called SWOPT, that automates this trial-and-error optimization process. The program includes an algorithm that has been developed for computationally expensive problems: so-called black-box simulation optimizations. It also includes a more efficient version of the Yang X-ray Optics Program (YXRO) [Yang, S.-H., Gray, A.X., Kaiser, A.M., Mun, B.S., Sell, B.C., Kortright, J.B., Fadley, C.S., J. Appl. Phys. 113, 1 (2013)] which is about an order of magnitude faster than the original version. Human interaction is not required during optimization. We tested our optimization algorithm on real and hypothetical problems and show that it finds better solutions significantly faster than a random search approach. The total optimization time ranges, depending on the sample structure, from minutes to a few hours on a modern computer, and can be up to 100x faster than a corresponding manual optimization. These speeds make the SWOPT program a valuable tool for real-time analyses of data during synchrotron experiments.
Deep Imbalanced Attribute Classification using Visual Attention Aggregation

For many computer vision applications, such as image description and human identification, recognizing the visual attributes of humans is an essential yet challenging problem. Its challenges originate from its multi-label nature, the large underlying class imbalance and the lack of spatial annotations. Existing methods follow either a computer vision approach while failing to account for class imbalance, or explore machine learning solutions, which disregard the spatial and semantic relations that exist in the images. With that in mind, we propose an effective method that extracts and aggregates visual attention masks at different scales. We introduce a loss function to handle class imbalance both at class and at an instance level and further demonstrate that penalizing attention masks with high prediction variance accounts for the weak supervision of the attention mechanism. By identifying and addressing these challenges, we achieve state-of-the-art results with a simple attention mechanism in both PETA and WIDER-Attribute datasets without additional context or side information.
Extracting Inter-Community Conflicts in Reddit

Anti-social behaviors in social media can happen both at user and community levels. While a great deal of attention is on the individual as an ‘aggressor,’ the banning of entire Reddit subcommunities (i.e., subreddits) demonstrates that this is a multi-layer concern. Existing research on inter-community conflict has largely focused on specific subcommunities or ideological opponents. However, antagonistic behaviors may be more pervasive and integrate into the broader network. In this work, we study the landscape of conflicts among subreddits by deriving higher-level (community) behaviors from the way individuals are sanctioned and rewarded. By constructing a conflict network, we characterize different patterns in subreddit-to-subreddit conflicts as well as communities of ‘co-targeted’ subreddits .The dynamics of these interactions also reveals a shift in conflict focus over time.
Process and outcomes of a court‐administered civil mediation program

This paper extends the current literature on court‐connected civil mediation programs and provides implications for future research and court administration policy and practice. Using administrative court data, we describe the mediation case processing, explore the factors associated with case participation in mediation, and examine how mediation processes and case characteristics relate to different case outcomes. Our findings indicate that 77.5% of cases assigned to a mediation track resulted in settlement, 17% reached resolution through a judicial ruling, and only 5.5% had trial‐related outcomes. More than two thirds of cases that went through mediation settled after mediation and prior to trial.
Cayley Digraphs Associated to Arithmetic Groups

We explore a paradigm which ties together seemingly disparate areas in number theory, additive combinatorics, and geometric combinatorics including the classical Waring problem, the Furstenberg–Sarkozy theorem on squares in sets of integers with positive density, and the study of triangles (also called 2-simplices) in finite fields. Among other results we show that if $${\mathbb {F}}_q$$ is the finite field of odd order q, then every matrix in $$Mat_d({\mathbb {F}}_q), d \ge 2$$ is the sum of a certain (finite) number of orthogonal matrices, this number depending only on d, the size of the matrix, and on whether q is congruent to 1 or 3 (mod 4), but independent of q otherwise.
CONSUMER ACCEPTANCE OF FOOD BIOTECHNOLOGY: WILLINGNESS TO BUY GENETICALLY MODIFIED FOOD PRODUCTS

Abstract Using data from a national survey, this study examines public acceptance of food biotechnology by modeling consumers' willingness to buy genetically modified foods. Empirical results suggest that younger, white, male and college educated individuals are more likely to accept food biotechnology. However, consumers' views about scientists and biotechnology companies, and their trust and confidence in government regulators, have greater impacts on their acceptance of genetically modified foods than their economic and demographic attributes. Overall, consumers view food biotechnology as a risk-benefit issue rather than an ideological issue. There is some evidence of regional differences in the acceptance of bioengineered food products.
Optimal Mechanism Design with Risk-Loving Agents

One of the most celebrated results in mechanism design is Myerson’s characterization of the revenue optimal auction for selling a single item. However, this result relies heavily on the assumption that buyers are indifferent to risk. In this paper we investigate the case where the buyers are risk-loving, i.e. they prefer gambling to being rewarded deterministically. We use the standard model for risk from expected utility theory, where risk-loving behavior is represented by a convex utility function.
Direct Observations of Particle Dynamics in Magnetized Collisionless Shock Precursors in Laser-Produced Plasmas

We present the first laboratory observations of time-resolved electron and ion velocity distributions in magnetized collisionless shock precursors. Thomson scattering of a probe laser beam was used to observe the interaction of a laser-driven, supersonic piston plasma expanding through an ambient plasma in an external magnetic field. From the Thomson-scattered spectra we measure time-resolved profiles of electron density, temperature, and ion flow speed, as well as spatially resolved magnetic fields from proton radiography. We observe direct evidence of the coupling between piston and ambient plasmas, including the acceleration of ambient ions driven by magnetic and pressure gradient electric fields, and deformation of the piston ion flow, key steps in the formation of magnetized collisionless shocks. Even before a shock has fully formed, we observe strong density compressions and electron heating associated with the pileup of piston ions. The results demonstrate that laboratory experiments can probe particle velocity distributions relevant to collisionless shocks, and can complement, and in some cases overcome, the limitations of similar measurements undertaken by spacecraft missions.
Improving End-to-end Speech Recognition with Pronunciation-assisted Sub-word Modeling

Most end-to-end speech recognition systems model text directly as a sequence of characters or sub-words. Current approaches to sub-word extraction only consider character sequence frequencies, which at times produce inferior sub-word segmentation that might lead to erroneous speech recognition output. We propose pronunciation-assisted sub-word modeling (PASM), a sub-word extraction method that leverages the pronunciation information of a word. Experiments show that the proposed method can greatly improve upon the character-based baseline, and also outperform commonly used byte-pair encoding methods.
North Korea: Sanctions, Engagement and Strategic Reorientation

This paper examines the roles that sanctions, and inducements might play in resolving the North Korea problem. It finds that while the “maximum pressure” narrative is plausible, the evidence to substantiate it is thin. Likewise, the North Korean regime is aware of the potentially constraining (or even destabilizing) political implications of cross-border economic integration and has acted to structure engagement in ways to blunt its transformative impact. Maximizing the transformative possibilities of engagement will require conscious planning by North Korea’s partners. Multilateral guidelines and voluntary codes on corporate conduct could be used to anchor this process, but they will only be effective if there is greater political commitment to such norms than has been witnessed to date. Without such commitments, engagement risks enabling North Korea’s doctrine of the parallel development of weapons of mass destruction and the economy.
Partial pressure of arterial carbon dioxide after resuscitation from cardiac arrest and neurological outcome: A prospective multi-center protocol-directed cohort study

Abstract Aims Partial pressure of arterial carbon dioxide (PaCO2) is a regulator of cerebral blood flow after brain injury. We sought to test the association between PaCO2 after resuscitation from cardiac arrest and neurological outcome. Methods A prospective protocol-directed cohort study across six hospitals. Inclusion criteria: age ≥18, non-traumatic cardiac arrest, mechanically ventilated after return of spontaneous circulation (ROSC), and receipt of targeted temperature management. Per protocol, PaCO2 was measured by arterial blood gas analyses at one and six hours after ROSC. We determined the mean PaCO2 over this initial six hours after ROSC. The primary outcome was good neurological function at hospital discharge, defined a priori as a modified Rankin Scale ≤3. Multivariable Poisson regression analysis was used to test the association between PaCO2 and neurological outcome. Results Of the 280 patients included, the median (interquartile range) PaCO2 was 44 (37–52) mmHg and 30% had good neurological function. We found mean PaCO2 had a quadratic (inverted “U” shaped) association with good neurological outcome, with a mean PaCO2 of 68 mmHg having the highest predictive probability of good neurological outcome, and worse neurological outcome at higher and lower PaCO2. Presence of metabolic acidosis attenuated the association between PaCO2 and good neurological outcome, with a PaCO2 of 51 mmHg having the highest predictive probability of good neurological outcome among patients with metabolic acidosis. Conclusion PaCO2 has a “U” shaped association with neurological outcome, with mild to moderate hypercapnia having the highest probability of good neurological outcome.
Data Center Cooling System Integrated with Low-Temperature Desalination and Intelligent Energy-Aware Control

Data centers consume enormous energy, presently reported up to 2% of the world’s electricity, with most of this energy then rejected into the atmosphere as waste heat. Meanwhile there is a global scarcity of safe drinking water. The UN states that 20% of the world’s population lives in regions affected by scarcity of drinking water. In this paper, we discuss an on-going research initiative that investigates the reuse of “free” waste heat energy from data centers in coastal cities and island countries, and in modular data centers that are deployed in coastal regions, through a low-pressure desalination process that converts sea water into safe drinking and irrigation water supplies, while significantly improving the Power Utilization Efficiency (PUE) for the data centers. In this paper, we discuss a work-in-progress experimental setup with the purpose of demonstrating that heat removed via common fluid-cooled rack heat exchangers in modern data centers can be re-used via a controlled-low-pressure desalination technique to turn salt water into drinking water at zero added carbon cost for the desalination, and significantly reduced carbon cost for the data center operations.
Simple Stopping Criteria for Information Theoretic Feature Selection

Feature selection aims to select the smallest feature subset that yields the minimum generalization error. In the rich literature in feature selection, information theory-based approaches seek a subset of features such that the mutual information between the selected features and the class labels is maximized. Despite the simplicity of this objective, there still remain several open problems in optimization. These include, for example, the automatic determination of the optimal subset size (i.e., the number of features) or a stopping criterion if the greedy searching strategy is adopted. In this paper, we suggest two stopping criteria by just monitoring the conditional mutual information (CMI) among groups of variables. Using the recently developed multivariate matrix-based Renyi's α-entropy functional, which can be directly estimated from data samples, we showed that the CMI among groups of variables can be easily computed without any decomposition or approximation, hence making our criteria easy to implement and seamlessly integrated into any existing information theoretic feature selection methods with a greedy search strategy.
The long-run impact of new medical ideas on cancer survival and mortality

ABSTRACTWe test the hypothesis that the arrival of new medical ideas played a major role in the long-run increase in US cancer survival and decline in cancer mortality, by investigating whether the...
Simulation of the Second-Harmonic Ultrasound Field in Heterogeneous Soft Tissue Using a Mixed-Domain Method

A mixed-domain method (MDM) dubbed frequency-specific MDM (FSMDM) is introduced for the simulation of the second-harmonic ultrasound field in weakly heterogeneous media. The governing equation for the second harmonics is derived based on the quasi-linear theory. The speed of sound, nonlinear coefficient, and attenuation coefficient are all spatially varying functions in the equation. The fundamental frequency pressure field is first solved by the FSMDM and it is subsequently used as the source term for the second-harmonics equation. This equation can be again solved by the FSMDM to rapidly obtain the second-harmonic pressure field. Five 2-D cases, including one with a realistic human tissue map, are studied to systematically verify the proposed method. Results from the previously developed transient MDM are used as the benchmark solutions. Comparisons show that the two methods give similar results for all cases. More importantly, the FSMDM has a crucial advantage over the transient MDM in that it can be two orders of magnitude faster.
Systematic analysis of dark and camouflaged genes reveals disease-relevant genes hiding in plain sight

The human genome contains “dark” gene regions that cannot be adequately assembled or aligned using standard short-read sequencing technologies, preventing researchers from identifying mutations within these gene regions that may be relevant to human disease. Here, we identify regions with few mappable reads that we call dark by depth, and others that have ambiguous alignment, called camouflaged. We assess how well long-read or linked-read technologies resolve these regions. Based on standard whole-genome Illumina sequencing data, we identify 36,794 dark regions in 6054 gene bodies from pathways important to human health, development, and reproduction. Of these gene bodies, 8.7% are completely dark and 35.2% are ≥ 5% dark. We identify dark regions that are present in protein-coding exons across 748 genes. Linked-read or long-read sequencing technologies from 10x Genomics, PacBio, and Oxford Nanopore Technologies reduce dark protein-coding regions to approximately 50.5%, 35.6%, and 9.6%, respectively. We present an algorithm to resolve most camouflaged regions and apply it to the Alzheimer’s Disease Sequencing Project. We rescue a rare ten-nucleotide frameshift deletion in CR1, a top Alzheimer’s disease gene, found in disease cases but not in controls. While we could not formally assess the association of the CR1 frameshift mutation with Alzheimer’s disease due to insufficient sample-size, we believe it merits investigating in a larger cohort. There remain thousands of potentially important genomic regions overlooked by short-read sequencing that are largely resolved by long-read technologies.
Optimal Incentive Contracts in Project Management

Motivated by the ever-growing complexity of projects and the consistent trend of outsourcing of individual tasks or components, we study the contract-design problem faced by a firm (or organization) for executing a project consisting of multiple tasks, each of which is performed by an individual contractor whose efforts (work-rates) are not observable. While the contractors incur costs continuously during the course of their tasks, the firm realizes its reward or revenue only when the entire project is (i.e., all tasks are) completed. The firm's contract-design decisions and the contractors' effort-level decisions are all governed by the goals of maximizing the respective party's expected discounted profit. We adopt the framework in Kwon et al. (2010a) and Chen et al. (2015), and derive optimal contracts for both parallel projects (tasks can be performed in parallel) and sequential projects (tasks have to be performed sequentially). The simplicity of the contracts we obtain suggests that there is potential for designing profit-maximizing contracts without paying a price in terms of contract complexity.
Does an Apple (or Many) Each Day, Keep Mortality Away?

In this issue of the Clinical Journal of the American Society of Nephrology , Saglimbene et al. ([1][1]) highlight the importance of fruit and vegetable intake in 9757 patients undergoing dialysis across 11 European and South American countries by demonstrating that a higher number of fruits and
WHAT IS SPECIAL ABOUT THE DIVISORS OF 12

SummaryWhat is an interesting number theoretic characterization of the divisors of 12 among all positive integers? This paper will provide one answer in terms of modular multiplication tables. We will show that the multiplication table for the ring ℤn [x1, x2, …, xm] has 1's only on the diagonal if and only if n is a divisor of 12.
Fintech and Household Resilience to Shocks: Evidence from Digital Loans in Kenya

Abstract Developing country lenders are taking advantage of fintech tools to create fully digital loans on mobile phones. Using administrative and survey data, we study the take up and impacts of one of the most popular digital loan products in the world, M-Shwari in Kenya. While 34% of those eligible for a loan take it, the loan does not substitute for other credit. The loans improve household resilience: households are 6.3 percentage points less likely to forego expenses due to negative shocks. Fintech tools can be a crucial way to improve financial access and household resilience.
REGISTOR: A Platform for Unstructured Data Processing Inside SSD Storage

This article presents REGISTOR, a platform for regular expression grabbing inside storage. The main idea of Registor is accelerating regular expression (regex) search inside storage where large data set is stored, eliminating the I/O bottleneck problem. A special hardware engine for regex search is designed and augmented inside a flash SSD that processes data on-the-fly during data transmission from NAND flash to host. To make the speed of regex search match the internal bus speed of a modern SSD, a deep pipeline structure is designed in Registor hardware consisting of a file semantics extractor, matching candidates finder, regex matching units (REMUs), and results organizer. Furthermore, each stage of the pipeline makes the use of maximal parallelism possible. To make Registor readily usable by high-level applications, we have developed a set of APIs and libraries in Linux allowing Registor to process files in the SSD by recombining separate data blocks into files efficiently. A working prototype of Registor has been built in our newly designed NVMe-SSD. Extensive experiments and analyses have been carried out to show that Registor achieves high throughput, reduces the I/O bandwidth requirement by up to 97%, and reduces CPU utilization by as much as 82% for regex search in large datasets.