cssi/SciSciGPT-SciSciNet huggingface dataset:
Ultrasonic Neuromodulation Causes Widespread Cortical Activation via an Indirect Auditory Mechanism

Ultrasound has received widespread attention as an emerging technology for targeted, non-invasive neuromodulation based on its ability to evoke electrophysiological and motor responses in animals. However, little is known about the spatiotemporal pattern of ultrasound-induced brain activity that could drive these responses. Here, we address this question by combining focused ultrasound with wide-field optical imaging of calcium signals in transgenic mice. Surprisingly, we find cortical activity patterns consistent with indirect activation of auditory pathways rather than direct neuromodulation at the ultrasound focus. Ultrasound-induced activity is similar to that evoked by audible sound. Furthermore, both ultrasound and audible sound elicit motor responses consistent with a startle reflex, with both responses reduced by chemical deafening. These findings reveal an indirect auditory mechanism for ultrasound-induced cortical activity and movement requiring careful consideration in future development of ultrasonic neuromodulation as a tool in neuroscience research.
Maintaining Continuity in Service: An Empirical Examination of Primary Care Physicians

Problem definition: In many service operations, customers have repeated interactions with service providers. This creates two important questions for service design. First, how important is it to m...
Validating a Behavioral Health Instrument for Adults: Exploratory Factor Analysis

Increasingly, social workers and behavioral health practitioners use assessment instruments to support service planning and to monitor progress. Following statewide implementation of the Adult Need...
Algorithm appreciation: People prefer algorithmic to human judgment

Abstract Even though computational algorithms often outperform human judgment, received wisdom suggests that people may be skeptical of relying on them (Dawes, 1979). Counter to this notion, results from six experiments show that lay people adhere more to advice when they think it comes from an algorithm than from a person. People showed this effect, what we call algorithm appreciation, when making numeric estimates about a visual stimulus (Experiment 1A) and forecasts about the popularity of songs and romantic attraction (Experiments 1B and 1C). Yet, researchers predicted the opposite result (Experiment 1D). Algorithm appreciation persisted when advice appeared jointly or separately (Experiment 2). However, algorithm appreciation waned when: people chose between an algorithm’s estimate and their own (versus an external advisor’s; Experiment 3) and they had expertise in forecasting (Experiment 4). Paradoxically, experienced professionals, who make forecasts on a regular basis, relied less on algorithmic advice than lay people did, which hurt their accuracy. These results shed light on the important question of when people rely on algorithmic advice over advice from people and have implications for the use of “big data” and algorithmic advice it generates.
Marriage between credit cards and the Internet: Buying is just a click away!

This paper examines whether Internet access positively affects credit card balances. To that end, we compare the 2010 and 2013 Surveys of Consumer Finances, analyze the consistency of the results over time, and provide the rationale for any resulting differences. Using the censored techniques, our results indicate that Internet access has a positive effect on credit card balances, which suggests that consumers with Internet access are prone to higher balances compared to those without. The probability of carrying positive balances was larger in 2010 compared to 2013. Overall, the results suggest that, while the financial crisis might have contributed to higher balances in 2010, the economic recovery afterward seems to have eased the burden of credit card debt.
Refolding of helical soluble α-synuclein through transient interaction with lipid interfaces

α-Synuclein (αSyn) is a key player in the pathogenesis of Parkinson's disease and other synucleinopathies. Here, we report the existence of a novel soluble α-helical conformer of αSyn, obtained through transient interaction with lipid interfaces, and propose dynamic oligomerization as the mechanism underlying its stability. The conformational space of αSyn appears to be highly context-dependent, and lipid bilayers might thus play crucial roles as molecular chaperones in a cellular environment.
Corporate Essence and Identity in Criminal Law

How can we know whether we are punishing the same corporation that committed some past crime? Though central to corporate criminal justice, legal theorists and philosophers have yet to address the basic question of how corporate identity persists through time. Simple cases, where crime and punishment are close in time and the corporation has changed little, can mislead us into thinking an answer is always easy to come by. The issue becomes more complicated when corporate criminals undergo any number of transformations—rebranding, spinning-off a division, merging, changing ownership, changing management, swapping lines of business, etc. These changes are common among all corporations, including those trying to conceal or limit liability for past crimes. This article takes a first step toward developing a workable and philosophically satisfying theory of corporate personal identity and discusses its prospects for fulfilling the retributive, rehabilitative, and deterrent purposes of criminal law.
Translating Web Search Queries into Natural Language Questions

Users often query a search engine with a specific question in mind and often these queries are keywords or sub-sentential fragments. For example, if the users want to know the answer for "What's the capital of USA", they will most probably query "capital of USA" or "USA capital" or some keyword-based variation of this. For example, for the user entered query "capital of USA", the most probable question intent is "What's the capital of USA?". In this paper, we are proposing a method to generate well-formed natural language question from a given keyword-based query, which has the same question intent as the query. Conversion of keyword-based web query into a well-formed question has lots of applications, with some of them being in search engines, Community Question Answering (CQA) website and bots communication. We found a synergy between query-to-question problem with standard machine translation(MT) task. We have used both Statistical MT (SMT) and Neural MT (NMT) models to generate the questions from the query. We have observed that MT models perform well in terms of both automatic and human evaluation.
WASA: A Web Application for Sequence Annotation

Data annotation is an important and necessary task for all NLP applications. Designing and implementing a web-based application that enables many annotators to annotate and enter their input into one central database is not a trivial task. These kinds of web-based applications require a consistent and robust backup for the underlying database and support to enhance the efficiency and speed of the annotation. Also, they need to ensure that the annotations are stored with a minimal amount of redundancy in order to take advantage of the available resources(e.g, storage space). In this paper, we introduce WASA, a web-based annotation system for managing large-scale multilingual Code Switching (CS) data annotation. Although WASA has the ability to perform the annotation for any token sequence with arbitrary tag sets, we will focus on how WASA is used for CS annotation. The system supports concurrent annotation, handles multiple encodings, allows for several levels of management control, and enables quality control measures while seamlessly reporting annotation statistics from various perspectives and at different levels of granularity. Moreover, the system is integrated with a robust language specific date prepossessing tool to enhance the speed and efficiency of the annotation. We describe the annotation and the administration interfaces as well as the backend engine.
Thorium-doped CsI: Implications for the thorium nuclear clock transition

For $^{229m}\mathrm{Th}$ isomer nucleus with an anomalously low nuclear excitation energy, ${E}^{★}$ (currently accepted value of $7.8\ifmmode\pm\else\textpm\fi{}0.5\phantom{\rule{0.28em}{0ex}}\mathrm{eV}$), the bound internal conversion (BIC) decay process is caused by the excitation of a valence electron that is sensitive to the electronic structure of the atomic-sized neighborhood. We analyze an experiment where an impacting Th ion is neutralized by a negatively charged ion-receiving cesium iodide (CsI) surface, to obtain the minimal nuclear excitation energy ${E}_{\mathrm{min}}^{★}$ necessary for BIC promotion of a Th-impurity valence electron in a CsI matrix. We analyze two cases: CsI with Th deposited into the bulk and with Th deposited on the CsI surface. In the bulk we consider band gap effects while on the surface we consider the work function. The energy to pull the electron to the surface is $1.5--2.2\phantom{\rule{0.28em}{0ex}}\mathrm{eV}$ depending on the surface plane, while to promote to the conduction band in the bulk it is $1.5\phantom{\rule{0.28em}{0ex}}\mathrm{eV}$. Therefore we conclude that the Th-surface interaction can significantly reduce the lower ${E}^{★}$ bound of 6.3 eV, as estimated from the direct observation of the Th-clock transition [von der Wense et al., Nature (London) 533, 47 (2016)]. We suggest coating the multichannel plate with differing materials leading to different Th-impurity gaps and work functions can further narrow the ${E}^{★}$ uncertainty interval.
Microeconomic Heterogeneity and Macroeconomic Shocks

In this essay, we discuss the emerging literature in macroeconomics that combines heterogeneous agent models, nominal rigidities, and aggregate shocks. This literature opens the door to the analysis of distributional issues, economic fluctuations, and stabilization policies—all within the same framework. In response to the limitations of the representative agent approach to economic fluctuations, a new framework has emerged that combines key features of heterogeneous agents (HA) and New Keynesian (NK) economies. These HANK models offer a much more accurate representation of household consumption behavior and can generate realistic distributions of income, wealth, and, albeit to a lesser degree, household balance sheets. At the same time, they can accommodate many sources of macroeconomic fluctuations, including those driven by aggregate demand. In sum, they provide a rich theoretical framework for quantitative analysis of the interaction between cross-sectional distributions and aggregate dynamics. In this article, we outline a state-of-the-art version of HANK together with its representative agent counterpart, and convey two broad messages about the role of household heterogeneity for the response of the macroeconomy to aggregate shocks: 1) the similarity between the Representative Agent New Keynesian (RANK) and HANK frameworks depends crucially on the shock being analyzed; and 2) certain important macroeconomic questions concerning economic fluctuations can only be addressed within heterogeneous agent models.
Spatial and Sectoral Heterogeneity of Occupational Choice in Cameroon

This paper investigates the relationship between location, agglomeration, access to credit, informality, and productivity across cities and industries in Cameroon. Emphasizing the link between micro-foundations and the data, the paper develops and estimates a structural model of occupational choice in which heterogeneous agents choose between formal entrepreneurship, informal entrepreneurship, and non-entrepreneurial work. Their decision-making process is driven by institutional constraints such as entry costs, tax enforcement, and access to credit. The model predicts that agglomeration has a non-monotonic effect on formalization, and entrepreneurial profits increase with agglomeration effects. Estimating the model by the generalized method of moments, the paper finds that the returns to capital and labor are not uniform across sectors and cities. Manufacturing industries are highly constrained in capital and the elasticity of capital is higher in Yaounde and Douala, whereas labor elasticity is higher in Kribi. Counterfactual simulations show that an increase in roads provision can have a substantial impact in terms of output, formalization, and productivity. A reduction in the current interest rate has a large and significant impact on formalization and no significant effect on business creation. Likewise, while the current tax rate is suboptimal for most cities, a tax reduction policy would have a much greater impact on formalization than on business creation. These effects differ substantially across cities and sectors, suggesting that those policy instruments could be implemented accordingly to support formalization and business creation.
Inter- and Intra-rater Reliability of A Grading System for Congenital Diaphragmatic Hernia Defect Size.

Abstract Background The Congenital Diaphragmatic Hernia Study Group (CDHSG) registry is a multi-institutional tool to track outcomes of patients with CDH. The CDHSG asks surgeons to categorize diaphragmatic defect sizes as type A-D based on published guidelines. The reported size of the defect has been correlated with patient outcomes, but the reliability of this system has never been studied. Our goal was to evaluate the inter- and intra-rater reliability of the CDHSG grading system. Materials and methods Forty-six operative notes from CDH patients that underwent surgical repair at a single institution were collected and cropped to include only the information necessary to grade the hernia defect based on the CDHSG guidelines. The defects were graded by nine pediatric surgeons on two separate occasions (18 wk apart). Inter-rater reliability was calculated using a Cohen's kappa (κ). Intra-rater reliability was calculated using an intraclass correlation coefficient. Results Inter-rater reliability was minimal to weak (κ round1 = 0.395, κ round2 = 0.424). Agreement ranged from 19.57% (κ = −0.0745) to 82.61% (κ = 0.7543). Inter-rater agreement was similar despite operative findings and outcomes: survival yes/no (κ = 0.3690, κ = 0.3518), need for ECMO yes/no (κ = 0.3323, κ = 0.3362), patch repair yes/no (κ = 0.2050, κ = 0.1916), and liver up/down (κ = 0.2941, κ = 0.4404). Intra-rater reliability was good to excellent (intraclass correlation coefficient = 0.88, 95% CI [0.83-0.92]). Agreement with oneself ranged from 71.74% to 93.48%. Conclusions The demonstrated weak inter-rater reliability of the current CDHSG grading system shows the need for improvement in how the grading system is applied by surgeons when reporting CDH defect size.
Implementation of Hierarchical Framework with Accurate Localization and Low Level Control in a Low-Cost Scaled Autonomous Car

In recent years, research in the field of autonomous driving has received great attention. While using full-scale vehicles involves high cost as well as time, pure computer simulations have their limitations. Hence, many researchers have taken the middle path by working on scaled down platforms which provide a balance between full-scale vehicles and pure computer simulations. In our previous research, we created a new framework for route guidance, as part of a path decision support tool (PDST), for off-road driving scenarios and demonstrated its efficacy using simulations. This paper illustrates how we develop a low-cost scaled vehicle-in-loop framework for testing our algorithms used in the PDST. A three-axis inertial measurement unit (IMU), wheel encoders, a global positioning system (GPS) unit and a mono-camera are mounted to a scaled vehicle for localization. We use JavaScript Object Notation (JSON) data format for information exchange using User Datagram Protocol (UDP) for implementing Vehicle-to-Vehicle (V2V) and MySQL server for Vehicle-to-infrastructure (V2I) communication.
Precursors of Magnetic Flux Emergence in the Moat Flows of Active Region AR12673

We report on observations of magnetic disturbances in active region AR12673 between 1 and 3 September 2017 seen as a disruption of the moat flow several hours before the onset of strong flux emergence near the main sunspot. The moat flow is commonly known as a radially oriented strong outflow of photospheric plasma surrounding sunspots, which ends abruptly and thus shapes an annular pattern around the penumbra. Using highly accurate methods of tracking this photospheric flow applied to Solar Dynamics Observatory/Helioseismic and Magnetic Imager data, we are able to describe the evolution of the moat surrounding the main sunspot of AR 12673. We find that several hours before the emergence of strong magnetic flux near the main sunspot, the moat boundaries are broken at these very same locations. This behavior is observed both on 1 and 3 September. There is no such behavior observed in the absence of flux emergence. These observational results pose the question of how often they occur in other active regions and whether the disruption of the moat flow might be, like in this case, an indication of impending enhanced magnetic activity or simply a coincidental event.
Investing Outside the Box: Evidence from Alternative Vehicles in Private Capital

Abstract Using previously unexplored custodial data, we examine alternative investment vehicles (AVs) in private equity (PE) funds over the last four decades. By 2017, AVs reached 40% of all PE commitments. Average AV performance matches the PE market, but underperforms the main funds of the partnerships sponsoring the AVs. Limited partners (LPs) with better past performance invest in AVs with better average performance, even after conditioning on the general partners’ (GPs’) past records. This result is largely driven by preferential access of top LPs to top AVs. Returns in PE increasingly depend on the match between GPs and LPs and both parties’ outside options.
Successful Aging and Chronic Osteoarthritis

Background: Aging is commonly accepted as a time period of declining heath in most cases. This review aimed to examine the research base concerning the use of the term ‘successful aging’, a process and outcome deemed desirable, but challenging to attain. A second was to provide related information to demonstrate how health professionals as well as individuals can aim for a ‘successful aging’ process and outcome, despite the presence of disabling osteoarthritis. Methods: Information specifically focusing on ‘successful aging’ and the concept of improving opportunities for advancing ‘successful aging’ despite osteoarthritis was sought. Results: Among the many articles on ‘successful aging’, several authors highlight the need to include, a broader array of older adults into the conceptual framework. Moreover, conditions such as osteoarthritis should not necessarily preclude the individual from attaining a personally valued successful aging outcome. Conclusions: Pursuing more inclusive research and research designs, and not neglecting to include people with chronic osteoarthritis can potentially heighten the life quality of all aging individuals, while reducing pain and depression, among other adverse aging and disability correlates among those with osteoarthritis.
Error Analysis of the Stochastic Linear Feedback Particle Filter

This paper is concerned with the convergence and long-term stability analysis of the feedback particle filter (FPF) algorithm. The FPF is an interacting system of $N$ particles where the interaction is designed such that the empirical distribution of the particles approximates the posterior distribution. It is known that in the mean-field limit $(N=\infty)$ , the distribution of the particles is equal to the posterior distribution. However little is known about the convergence to the mean-field limit. In this paper, we consider the FPF algorithm for the linear Gaussian setting. In this setting, the algorithm is similar to the ensemble Kalman-Bucy filter algorithm. Although these algorithms have been numerically evaluated and widely used in applications, their convergence and long-term stability analysis remains an active area of research. In this paper, we show that, (i) the mean-field limit is well-defined with a unique strong solution; (ii) the mean-field process is stable with respect to the initial condition; (iii) we provide conditions such that the finite-@ $N$ system is long term stable and we obtain some mean-squared error estimates that are uniform in time.
Social correlates of mental health in gastrointestinal cancer patients and their family caregivers: Exploring the role of loneliness

The present study examined the degree to which loneliness mediated the influence of negative (social constraints) and positive (emotional support) relationship qualities on the global mental health of advanced gastrointestinal (GI) cancer patients and their family caregivers. Fifty patient-caregiver dyads completed measures assessing social constraints (e.g., avoidance, criticism) from the other dyad members, emotional support from others, loneliness, and global mental health. Structural equation modeling was used to examine individual models, and Actor-Partner Interdependence Mediation Modeling was used to examine dyadic associations. Individual path analyses for patients and caregivers demonstrated that emotional support had a significant indirect effect on mental health through loneliness (Bs = 0.32 and 0.30, respectively), but no associations were found between social constraints and mental health. In dyadic analyses, participants’ loneliness and mental health were not significantly related to their partner’s emotional support, loneliness, or mental health (Bs = − 0.18 to 0.18). Findings suggest that for advanced GI cancer patients and caregivers, emotional support from others alleviates feelings of loneliness, which may lead to better mental health. However, the benefits of emotional support appear to be primarily intrapersonal rather than interpersonal in nature. Additionally, participants endorsed low levels of social constraints, which might explain their lack of relation to loneliness and mental health. Continued examination of interdependence in social processes between cancer patients and caregivers will inform intervention development.
Exchange in the Absence of Legal Enforcement: Reputation and Multilateral Punishment under Uncertainty

Principal–agent problems can reduce gains from exchange available in long distance trade. One solution historically used to mitigate such problems is multilateral punishment, whereby groups of principals jointly punish cheating agents by giving them bad reputations. But how does such punishment work when there is uncertainty regarding whether an agent actually cheated or was just the victim of bad luck? And how might such uncertainty be mitigated—or exacerbated—by non-observable, pro-social behavioral characteristics? We address these questions by designing a simple modified trust game with uncertainty and the capacity for principals to employ multilateral punishment. Our experimental results indicate that a modest amount of uncertainty has little effect on overall welfare: while part of the surplus is destroyed by uncertainty, principals are also more willing to trust agents with bad reputations, thereby increasing the frequency of welfare-enhancing exchange.
Genome-wide association study of brain amyloid deposition as measured by Pittsburgh Compound-B (PiB)-PET imaging.

Deposition of amyloid plaques in the brain is one of the two main pathological hallmarks of Alzheimer’s disease (AD). Amyloid positron emission tomography (PET) is a neuroimaging tool that selectively detects in vivo amyloid deposition in the brain and is a reliable endophenotype for AD that complements cerebrospinal fluid biomarkers with regional information. We measured in vivo amyloid deposition in the brains of ~1000 subjects from three collaborative AD centers and ADNI using 11C-labeled Pittsburgh Compound-B (PiB)-PET imaging followed by meta-analysis of genome-wide association studies, first to our knowledge for PiB-PET, to identify novel genetic loci for this endophenotype. The APOE region showed the most significant association where several SNPs surpassed the genome-wide significant threshold, with APOE*4 being most significant (P-meta = 9.09E-30; β = 0.18). Interestingly, after conditioning on APOE*4, 14 SNPs remained significant at P < 0.05 in the APOE region that were not in linkage disequilibrium with APOE*4. Outside the APOE region, the meta-analysis revealed 15 non-APOE loci with P < 1E-05 on nine chromosomes, with two most significant SNPs on chromosomes 8 (P-meta = 4.87E-07) and 3 (P-meta = 9.69E-07). Functional analyses of these SNPs indicate their potential relevance with AD pathogenesis. Top 15 non-APOE SNPs along with APOE*4 explained 25–35% of the amyloid variance in different datasets, of which 14–17% was explained by APOE*4 alone. In conclusion, we have identified novel signals in APOE and non-APOE regions that affect amyloid deposition in the brain. Our data also highlights the presence of yet to be discovered variants that may be responsible for the unexplained genetic variance of amyloid deposition.
Probabilistic Graphs for Sensor Data-Driven Modelling of Power Systems at Scale

The growing complexity of the power grid, driven by increasing share of distributed energy resources and by massive deployment of intelligent internet-connected devices, requires new modelling tools for planning and operation. Physics-based state estimation models currently used for data filtering, prediction and anomaly detection are hard to maintain and adapt to the ever-changing complex dynamics of the power system. A data-driven approach based on probabilistic graphs is proposed, where custom non-linear, localised models of the joint density of subset of system variables can be combined to model arbitrarily large and complex systems. The graphical model allows to naturally embed domain knowledge in the form of variables dependency structure or local quantitative relationships. A specific instance where neural-network models are used to represent the local joint densities is proposed, although the methodology generalises to other model classes. Accuracy and scalability are evaluated on a large-scale data set representative of the European transmission grid.
Oral Dextromethorphan for the Treatment of Diabetic Macular Edema: Results From a Phase I/II Clinical Study

Purpose The activation of microglia, the primary innate immune cell resident in the retina, produces inflammatory mediators, which underlie changes in diabetic retinopathy including increased vascular permeability. This study evaluates the safety and efficacy of dextromethorphan, a drug capable of inhibiting microglial activation, in the treatment of diabetic macular edema (DME). Methods A single-center, prospective, open-label phase I/II clinical trial enrolled five participants with macular involving DME who received oral dextromethorphan 60 mg twice daily for 6 months as monotherapy. Main outcome variables included central retinal subfield thickness (CST), best-corrected visual acuity (BCVA), macula sensitivity, and late leakage on fluorescein angiogram (FA). Results The study drug was well tolerated. At the primary end point of 6 months, mean CST decreased by -6.3% ± 6.8% and BCVA increased by +0.6 ± 5.11 (mean ± SEM) letters. Late leakage on FA was scored as improved in four of five study eyes. These findings were not correlated with changes in hemoglobin A1c (HbA1c), creatinine, or blood pressure. Conclusions In this proof-of-concept study, dextromethorphan administration as the primary treatment for DME was associated with decreased vascular leakage, suggesting possible therapeutic effects. Additional studies investigating the modulation of microglial activation is warranted. Translational relevance These findings highlight microglial modulation as a potentially useful therapeutic strategy in the treatment of diabetic macular edema.
Update on clinical gene therapy for hemophilia

In contrast to other diverse therapies for the X-linked bleeding disorder hemophilia that are currently in clinical development, gene therapy holds the promise of a lasting cure with a single drug administration. Near-to-complete correction of hemophilia A (factor VIII deficiency) and hemophilia B (factor IX deficiency) have now been achieved in patients by hepatic in vivo gene transfer. Adeno-associated viral vectors with different viral capsids that have been engineered to express high-level, and in some cases hyperactive, coagulation factors were employed. Patient data support that sustained endogenous production of clotting factor as a result of gene therapy eliminates the need for infusion of coagulation factors (or alternative drugs that promote coagulation), and may therefore ultimately also reduce treatment costs. However, mild liver toxicities have been observed in some patients receiving high vector doses. In some but not all instances, the toxicities correlated with a T-cell response directed against the viral capsid, prompting use of immune suppression. In addition, not all patients can be treated because of preexisting immunity to viral capsids. Nonetheless, studies in animal models of hemophilia suggest that the approach can also be used for immune tolerance induction to prevent or eliminate inhibitory antibodies against coagulation factors. These can form in traditional protein replacement therapy and represent a major complication of treatment. The current review provides a summary and update on advances in clinical gene therapies for hemophilia and its continued development.
Social Security and Retirement Timing: Evidence from a National Sample of Teachers

This study documents an important role for Social Security income in workers’ retirement timing. About 40% of public school teachers are not covered by Social Security. This provides an opportunity to analyze the causal impact of Social Security on retirement timing by comparing covered and non-covered teachers. Using individual-level data from the American Community Survey, we find robust evidence of higher rates of retirement among covered teachers at Social Security eligibility ages. This pattern is confirmed using an alternative regression model of participation in the teacher labor force. These estimates suggest that, should the federal government mandate full inclusion in Social Security for all public sector workers, the retirement timing patterns of newly covered teachers and other public sector workers would likely change.
Real-world experience with leadless cardiac pacing.

BACKGROUND Leadless cardiac pacing (LCP) has emerged as a new modality for permanent pacing. We sought to describe comparative outcomes between LCP and transvenous pacemakers. METHODS Patients receiving LCP (Micra [Medtronic, Minneapolis, MN, USA] and Nanostim [St. Jude Medical/Abbott Laboratories, Chicago, IL, USA]) between 2014 and 2017 at the Mayo Clinic Heart Rhythm Enterprise practice (Rochester, MN, USA; Jacksonville, FL, USA; and Scottsdale, AZ, USA) were identified. We identified 1:1 age- and sex-matched controls receiving single-chamber transvenous ventricular pacemakers (TVP). Statistical analyses were performed with JMP 13.0.0 (SAS, Institute Cary, NC, USA). RESULTS Ninety patients underwent LCP implantation (73 Micra and 17 Nanostim) with a median follow-up duration of 62 (interquartile range 28-169) days. Both groups had 100% successful device implant rates. There were no differences in procedure-related major (0% vs 1%) or minor complications (8% vs 3%) in the LCP versus TVP groups (P > 0.05). Excluding Nanostim patients, there was a lower rate of device-related revision or extraction in the Micra versus TVP groups (0% vs 5%, P = 0.028). Device endocarditis was more common in the TVP group (0% vs 3%, P = 0.04). Estimated longevity was greater for the LCP group (median 12.0 vs 10.0 years, P < 0.0001). An increase in severity of tricuspid valve regurgitation (TR) by ≥2 grades occurred in none of the LCP patients, and in 19% of the TVP patients (P = 0.017). CONCLUSION There are no significant differences in procedural complications among patients receiving LCP versus TVP. The Micra group had lower rates of device-related revision/extraction compared to the TVP group. Patients with leadless pacemaker were less likely to develop endocarditis or worsening TR.
How Cross-Examination on Subjectivity and Bias Affects Jurors’ Evaluations of Forensic Science Evidence

Contextual bias has been widely discussed as a possible problem in forensic science. The trial simulation experiment reported here examined reactions of jurors at a county courthouse to cross-examination and arguments about contextual bias in a hypothetical case. We varied whether the key prosecution witness (a forensic odontologist) was cross-examined about the subjectivity of his interpretations and about his exposure to potentially biasing task-irrelevant information. Jurors found the expert less credible and were less likely to convict when the expert admitted that his interpretation rested on subjective judgment, and when he admitted having been exposed to potentially biasing task-irrelevant contextual information (relative to when these issues were not raised by the lawyers). The findings suggest, however, that forensic scientists can immunize themselves against such challenges and maximize the weight jurors give their evidence by adopting context management procedures that blind them to task-irrelevant information.
McKay correspondence for semisimple Hopf actions on regular graded algebras, II

In establishing a more general version of the McKay correspondence, we prove Auslander's theorem for actions of semisimple Hopf algebras H on noncommutative Artin-Schelter regular algebras A of global dimension two, where A is a graded H-module algebra, and the Hopf action on A is inner faithful with trivial homological determinant. We also show that each fixed ring A^H under such an action arises an analogue of a coordinate ring of a Kleinian singularity.
Ringing Changes: Systems Thinking About Legal Licensing

The bar examination is a significant topic of conversation among regulators, bar examiners, the courts, legal educators, law students, and practicing lawyers. We seek to move beyond recent debates by proposing a new framework for conversations about the system of legal licensure, not merely the bar exam. In setting forth our framework, we build upon discussions from the Florida International University College of Law’s Summit on the Future of Legal Education and Entry to the Profession.
Age of Unreason: Rationality and the Regulatory State

A curious phenomenon, not previously remarked, appears in current international and interstate cases in a common configuration. These are cases in which a nonresident sues a company at the company’s home; the plaintiff would almost certainly win there on stipulated facts; and judgment is for the defendant as a matter of law. In cases in this familiar configuration it appears that courts will struggle to find rationales. Judges attempt to rely on arguments which ordinarily would be serviceable, but which, in cases so configured, seem to become irrational. Because the relevant configuration of cases is common, the problem is widespread. And it is serious. A judgment unsupported by good reasons will appear to be a naked preference for the judgment winner. The Supreme Court has held that the bare appearance of a want of neutrality is a denial of due process. Many cases are cited, but this Article focuses on two recent examples, seemingly unrelated. The first example is a prominent international case in the United States Supreme Court, raising an issue of statutory construction. The second is an interstate case in a state supreme court, raising an issue of choice of law. But these disparate examples are importantly similar in that both are in the above-described configuration, and in both, the trial court withholds its own law. And in both, the court has trouble finding rational support for the outcome. This difficulty seems to be virtually inevitable in cases so configured. Critical and explanatory analyses are offered. The interstate example also raises a special problem of legal theory, discussed here as well.
Validation and Preliminary Results of the Parental Assessment of Children's External Genitalia Scale for Females (PACE-F) for Girls With Congenital Adrenal Hyperplasia.

Abstract Objective To validate a parental assessment of children's external genitalia scale for females (PACE-F) for girls with congenital adrenal hyperplasia (CAH) by adapting the validated adult female genital self-image scale. Methods PACE-F was administered to parents of girls (Tanner 1, 2 months-12 years) with and without CAH. Final questions were determined by clinical relevance and psychometric properties (scores: 0-100). A reference range was established using 95% confidence interval among controls. Age-matched controls were compared to girls with CAH (1) Results Participants included 56 parents of 41 girls with CAH (median 3.9 years old, 97.6% FGRS) and 139 parents of 130 girls without CAH. Face and content validity was established by families, experts, and factor analysis. Internal consistency was high (Cronbach's alpha: 0.83). Population reference score range was 66.7-100. Ten consecutive girls had pre- and post-FGRS PACE-F scores. All scores improved at 4 months after surgery and all preoperative scores were below reference range and lower than controls (P = .0001). All postoperative scores were within reference range, no different from controls (P = .18). Scores for girls with CAH after FGRS aged 4-12 years were no different from controls (100.0 vs 88.9, P = .77) and 90.0% were in reference range, as expected (P = .99). Conclusion We present a validated instrument for parental assessment of genital appearance in girls with CAH. We demonstrate improved parent-reported appearance after FGRS, with scores similar to age-matched controls.
Vector Approximate Message Passing

The standard linear regression (SLR) problem is to recover a vector $\mathrm {x}^{0}$ from noisy linear observations $\mathrm {y}=\mathrm {Ax}^{0}+\mathrm {w}$ . The approximate message passing (AMP) algorithm proposed by Donoho, Maleki, and Montanari is a computationally efficient iterative approach to SLR that has a remarkable property: for large i.i.d. sub-Gaussian matrices A, its per-iteration behavior is rigorously characterized by a scalar state-evolution whose fixed points, when unique, are Bayes optimal. The AMP algorithm, however, is fragile in that even small deviations from the i.i.d. sub-Gaussian model can cause the algorithm to diverge. This paper considers a “vector AMP” (VAMP) algorithm and shows that VAMP has a rigorous scalar state-evolution that holds under a much broader class of large random matrices A: those that are right-orthogonally invariant. After performing an initial singular value decomposition (SVD) of A, the per-iteration complexity of VAMP is similar to that of AMP. In addition, the fixed points of VAMP’s state evolution are consistent with the replica prediction of the minimum mean-squared error derived by Tulino, Caire, Verdu, and Shamai. Numerical experiments are used to confirm the effectiveness of VAMP and its consistency with state-evolution predictions.
Learning to guide task and motion planning using score-space representation:

In this paper, we propose a learning algorithm that speeds up the search in task and motion planning problems. Our algorithm proposes solutions to three different challenges that arise in learning ...
Unique supramolecular complex of diclofenac: structural robustness, crystal-to-crystal solvent exchange, and mechanochemical synthesis.

We describe an unexpected, cyclic supramolecular complex that results from self-assembly of the nonsteroidal anti-inflammatory drug, diclofenac and 4,4′-azopyridine. The cycles self-assemble into 1D columns occupied by solvent, which can be removed at elevated temperatures (>100 °C) while retaining crystallinity. The complex exhibits solvent exchange ability that occurs through crystal-to-crystal transformations. Finally, the complex can be synthesized using mechanochemistry. Materials exhibiting the structural framework and robustness described here could be applied to removal of hazardous materials or undesirable solvents.
Neutron Electric Dipole Moment Experiments

The neutron electric dipole moment (EDM) provides unique information on CP violation and physics beyond the Standard Model. We first review the history of experimental searches for neutron electric dipole moment. The status of future neutron EDM experiments, including experiments using ultra-cold neutrons produced in superfluid helium, will then be presented.
Scandium(III) triflate as an efficient and reusable catalyst for synthesis of 1,5-benzodiazepine derivatives

Abstract 2,3-Dihydro-1 H -1,5-benzodiazepines have been synthesized in solvent-free conditions in excellent yield from o -phenylenediamines and ketones in the presence of a catalytic amount of Sc(OTf) 3 . This method is a very easy, rapid, and high yielding reaction for the synthesis of 1,5-benzodiazepine derivatives.
Positivity of Simplicial Volume for Nonpositively Curved Manifolds with a Ricci-type curvature condition

We show that closed manifolds supporting a nonpositively curved metric with negative $([\frac{n}{4}]+1)$-Ricci curvature, have positive simplicial volume. This answers a special case of a conjecture of Gromov.
High Spin Molecules: A Structural and Magnetic Comparison of High Nuclearity Manganese Carboxylate Aggregates

Abstract A structural and magnetic comparison is presented for a number of high nuclearity, higher oxidation state manganese complexes with similar ligation environments. The complexes considered are hepta-, octa-, ennea-, deca-, and dodecanuclear and contain only MnIII, except for the dodecanuclear complexes, which are mixed valence (MnIII 8MnIV 4). The ground state spins of these complexes range from very low to very high, and while the dodecanuclear complexes exhibit unusual AC magnetic susceptibility behavior, none of the other complexes show such properties. Magnetic properties, as well as structural and preparative information, are discussed.
High-Pressure Synthesis of sp2-Bonded Carbon Nitrides

We have synthesized amorphous sp2-bonded carbon nitrides at high pressure. A precursor composed of carbon and nitrogen, tetracyanoethylene, was compressed in a diamond anvil cell and laser heated to approximately 2000 °C. Transmission electron microscopy, electron diffraction, electron energy loss spectroscopy, and energy-dispersive X-ray analysis have been used to characterize the structure, bonding, and composition of the carbon nitrides. The amount of nitrogen incorporated into the network increases with pressure, ranging from 24% (C3N) at 18 GPa to 38% at 42 GPa (C3N1.9), which represents the most nitrogen-rich carbon nitride yet prepared under pressure. A crystalline carbon phase is also found.
Intramolecular Aziridination: Decomposition of Diazoamides with Tethered Imino Bonds

Of three possible mechanistic pathways, tethered oximino ethers react intramolecularly with diazoamides to produce a diazabicyclo[5.1.0]hexane aziridine containing skeleton. Several acyclic and cyclic templates were synthesized and reacted with rhodium catalysts to prepare their corresponding annulated aziridines. Anomalous behavior was discovered with the piperidine template, resulting in an aziridination occurring during the attempted diazo-transfer reaction, rather than the catalyzed carbenoid reaction.
Enantioenriched Dihydropyrones from β-Lactone Templates.

Optically active 4-substituted 2-oxetanones provide conduits for preparing 2,3-dihydro-4H-pyrone heterocycles. Enantioenriched β-lactones are prepared by asymmetric catalytic acyl halide-aldehyde cyclocondensation reactions. Hydrazone anion-mediated β-lactone ring opening and ensuing cyclization−dehydroamination of the derived β-ketohydrazone afford the desired dihydropyrones (68−81%). Optimized lactone ring-opening−cyclization reaction conditions render a variety of optically active 4-substituted-2-oxetanones as effective precursors to enantioenriched 2,3-dihydro-4H-pyrones.
Blazing Signature Filter: a library for fast pairwise similarity comparisons

Identifying similarities between datasets is a fundamental task in data mining and has become an integral part of modern scientific investigation. Whether the task is to identify co-expressed genes in large-scale expression surveys or to predict combinations of gene knockouts which would elicit a similar phenotype, the underlying computational task is often a multi-dimensional similarity test. As datasets continue to grow, improvements to the efficiency, sensitivity or specificity of such computation will have broad impacts as it allows scientists to more completely explore the wealth of scientific data. The Blazing Signature Filter (BSF) is a highly efficient pairwise similarity algorithm which enables extensive data mining within a reasonable amount of time. The algorithm transforms datasets into binary metrics, allowing it to utilize the computationally efficient bit operators and provide a coarse measure of similarity. We demonstrate the utility of our algorithm using two common bioinformatics tasks: identifying data sets with similar gene expression profiles, and comparing annotated genomes. The BSF is a highly efficient pairwise similarity algorithm that can scale to billions of comparisons without the need for specialized hardware.
A comprehensive and scalable database search system for metaproteomics

Mass spectrometry-based shotgun proteomics experiments rely on accurate matching of experimental spectra against a database of protein sequences. Existing computational analysis methods are limited in the size of their sequence databases, which severely restricts the proteomic sequencing depth and functional analysis of highly complex samples. The growing amount of public high-throughput sequencing data will only exacerbate this problem. We designed a broadly applicable metaproteomic analysis method (ComPIL) that addresses protein database size limitations. Our approach to overcome this significant limitation in metaproteomics was to design a scalable set of sequence databases assembled for optimal library querying speeds. ComPIL was integrated with a modified version of the search engine ProLuCID (termed “Blazmass”) to permit rapid matching of experimental spectra. Proof-of-principle analysis of human HEK293 lysate with a ComPIL database derived from high-quality genomic libraries was able to detect nearly all of the same peptides as a search with a human database (~500x fewer peptides in the database), with a small reduction in sensitivity. We were also able to detect proteins from the adenovirus used to immortalize these cells. We applied our method to a set of healthy human gut microbiome proteomic samples and showed a substantial increase in the number of identified peptides and proteins compared to previous metaproteomic analyses, while retaining a high degree of protein identification accuracy and allowing for a more in-depth characterization of the functional landscape of the samples. The combination of ComPIL with Blazmass allows proteomic searches to be performed with database sizes much larger than previously possible. These large database searches can be applied to complex meta-samples with unknown composition or proteomic samples where unexpected proteins may be identified. The protein database, proteomic search engine, and the proteomic data files for the 5 microbiome samples characterized and discussed herein are open source and available for use and additional analysis.