cssi/SciSciGPT-SciSciNet huggingface dataset:
Abnormal Renal Sodium Handling in Essential Hypertension. Relation to Failure of Renal and Adrenal Modulation of Responses to Angiotensin II

Abstract A continuing medical education quiz on this article (one hour of Category 1 credit) appears on page A125 of this issue. This study assessed renal sodium handling in a group of patients with essential hypertension in whom control of the renal blood supply and aldosterone release by angiotensin II is abnormal ("non-modulating") because of recent evidence that these patients have sodium-sensitive hypertension. Sixty-one patients were studied, 25 as balance was achieved with a daily sodium intake of 10 meq and 36 after a shift from a 10 meq to 200 meq sodium intake for five days. Renal and adrenal responsiveness to angiotensin II was assessed by measurement of para-aminohippurate clearance and plasma aldosterone prior to and during the infusion of 3 ng/kg per minute of angiotensin II, to identify the non-modulator group (n = 32). The half-time of the exponential function relating sodium excretion to time during the three to five days when external balance was being achieved with a 10 meq sodium intake was 23.9 ± 0.3 hours in 60 normal subjects, 24.5 ± 1.8 hours in the patients with essential hypertension in whom renal responsiveness to angiotensin II was normal, and prolonged (p
Survey of Provider Preferences Regarding the Route of Misoprostol for Induction of Labor at Term.

Objective To survey obstetrical provider preferences regarding use of misoprostol for induction of labor (IOL). Methods An anonymous 25-question survey was distributed at an American College of Obstetricians and Gynecologists (ACOG) joint District V and VII Meeting in 2014 to obstetrics providers. The same survey was sent electronically to local providers. A separate survey was emailed to the labor and delivery nurses at two of the teaching hospitals in Indianapolis. The surveys queried provider demographics, dosing practice for misoprostol, opinions regarding different dosing strategies, and instructions on buccal administration. Results A total of 113 (46.5%) providers responded. Of these, 92.9% used misoprostol for IOL, 73% preferred the vaginal route, 20% preferred buccal administration, and 7% oral administration. Only resident physician and midwife providers endorsed buccal route preference. Being a midwife independently predicted a preference for using buccal misoprostol (odds ratio [OR]: 125.8, 95% confidence interval [CI]: 7.9–1992.3). Additionally, 44 nurses completed the survey regarding administration techniques of buccal misoprostol. Also, 54.5% of nurses correctly instructed their patients on buccal administration techniques. Conclusion Although not extensively studied, one-fifth of providers, particularly nurse midwives, prefer buccal administration of misoprostol for IOL. The majority of nurses correctly administered buccal misoprostol. There may be a need for further study and education about buccal administration of misoprostol for IOL.
Visual acuity reporting in clinical research publications

Importance Visual acuity results in publications typically are reported in Snellen or non-Snellen formats or both. A study in 2011 suggested that many ophthalmologists do not understand non-Snellen formats, such as logarithm of the Minimum Angle of Resolution (logMAR) or Early Treatment Diabetic Retinopathy Study (ETDRS) letter scores. As a result, some journals, since at least 2013, have instructed authors to provide approximate Snellen equivalents next to non-Snellen visual acuity values. Objective To evaluate how authors currently report visual acuity and whether they provide Snellen equivalents when their reports include non-Snellen formats. Design From November 21, 2016, through December 14, 2016, one reviewer evaluated visual acuity reporting among all articles published in 4 ophthalmology clinical journals from November 2015 through October 2016, including 3 of 4 journals that instructed authors to provide Snellen equivalents for visual acuity reported in non-Snellen formats. Main Outcomes and Measures Frequency of formats of visual acuity reporting and frequency of providing Snellen equivalents when non-Snellen formats are given. Results The 4 journals reviewed had the second, fourth, fifth, and ninth highest impact factors for ophthalmology journals in 2015. Of 1881 articles reviewed, 807 (42.9%) provided a visual acuity measurement. Of these, 396 (49.1%) used only a Snellen format; 411 (50.9%) used a non-Snellen format. Among those using a non-Snellen format, 145 (35.3%) provided a Snellen equivalent while 266 (64.7%) provided only a non-Snellen format. Conclusions and Relevance More than half of all articles in 4 ophthalmology clinical journals fail to provide a Snellen equivalent when visual acuity is not in a Snellen format. Since many US ophthalmologists may not comprehend non-Snellen formats easily, these data suggest that editors and publishing staff should encourage authors to provide Snellen equivalents whenever visual acuity data are reported in a non-Snellen format to improve ease of understanding visual acuity measurements.
Scholarly Views on Theory: Its Nature, Practical Application, and Relation to World View in Business Research

Understanding theory, its practical application, and how to select a theoretical framework for research studies is often a challenging problem for new graduate and doctoral business students. As these students explore theory use in various fields and the general academic body of knowledge, this task can become even more daunting and confusing. There does not appear to be a common definition of theory across or within different disciplines. Further, scholars disagree on the value of theory and its practical application. This paper explores the scholarly nature of theory, its application, and its relationship to world view. Examples and a discussion are provided to better help students absorb this important yet ambiguous topic.
WISE – the Wide-field Infrared Survey Explorer

The Wide-field Infrared Survey Explorer (WISE) will map the whole sky in 6 months following its launch and in-orbit checkout. Launch is currently scheduled for November, 2009. WISE should cover more than 95% of sky with sensitvities of 120, 160, 650 & 2600 μ Jy in bands centered at 3.3, 4.7, 12 & 23 μ m wavelength. The angular resolution should be 6'' except at 23 μ m where diffraction gives 12'' . The low thermal background makes telescopes at Dome C very useful for follow-up observations of WISE sources.
Threshold for cooperation on irregular spatial networks

Cooperation is a defining attribute of life as we know it, from the delicate interactions of intracellular components to social behavior in groups. However, defection and exploitation are at least ...
Injuries associated with bunk beds that occur in jail.

Abstract Background There are many studies of bunk bed injuries, but none specifically addressing those occurring in jails. It was the purpose of this study to investigate the magnitude and patterns of bunk bed injuries occurring in correctional institutions. Methods The National Electronic Injury Surveillance System (NEISS) data for the 10 year period 2006 through 2015 due to bunk beds was accessed. Injuries involving bunk beds were identified and the mechanism of injury determined. Statistical analyses were performed with SUDAAN 10™ software. A p Results There were an estimated 639,505 ED visits for bunk bed associated injuries; 51,204 occurred in jail. All jail cases occurred in the age groups ≥10 years (177,165); 29% of these 177,165 sustained the injury in jail. Those who sustained a bunk bed injury in jail compared to those who did not were older, more commonly male, seen in smaller hospitals, more likely admitted, and more frequently associated with a seizure. For those injuries occurring in jail, the most common injury in the trunk and lower extremity was a strain/sprain; the upper extremity a contusion/abrasion; and the head/neck a laceration or traumatic brain injury. A fall off the bunk bed accounted for 71.8% of the injuries, had the highest hospital admission rate (7.4%), accounted for all of the spine injuries, 96% of the head injuries, and had the highest proportion of fractures (14.4%). Inmates having a seizure before the injury sustained fewer fractures, more lacerations, and more head/neck injuries. Conclusions Injuries in jail account for 29% of all bunk bed injuries resulting in an ED visit in the USA in those age groups ≥10 years. A fall from the bed occurred in 72% and a seizure disorder was 4.5 times more common in jail inmates compared to non inmates. Possible prevention strategies include railings/ladders to reduce the incidence of falls, changes in flooring surfaces, and seizure education and placing inmates with seizure and/or alcohol related disorders on the bottom bunk. This will require a multidisciplinary approach involving the disciplines of medicine, material engineering, and criminal justice.
Understanding the dynamics of clean technology: implications for policy and industry

Using an optimal control approach, I examine the effectiveness of various strategies for firms to investing in clean technology when faced with an emissions tax in a duopolistic market. Explicitly allowing for the cumulative nature of R&D, I show that emissions per unit of output are lowest when the firms cooperate in R&D, as compared to the scenarios when they compete in R&D or merge into a single entity. It is shown that R&D cooperation leads to the highest level of social welfare among the three alternative scenarios, and that a profit maximizing firm will never choose the most environmentally conscience investment strategy. In contrast to the traditional static analysis, which ignores the temporal effects associated with R&D, my dynamic analysis has implications for emission tax policy and environmental innovation to improve overall welfare.
Fine needle aspiration cytology of hepatic metastases of neuroendocrine tumors: A 20‐year retrospective, single institutional study

Background Fine needle aspiration (FNA) is considered an excellent technique for documenting metastatic neuroendocrine tumors (NETs). This study aims to evaluate the accuracy of FNA in diagnosing metastatic NETs to the liver and determining the grade and origin of these metastases. Methods Our laboratory information system was searched from 1997 to 2016 to identify all cases of metastatic NETs to the liver that were sampled by FNA. The cytopathology and surgical pathology reports as well as the patients' electronic medical records were reviewed. The cytohistologic type and grade of the metastatic NETs, as well as the site of the patient's primary were recorded. Results High-grade NETs, including small cell and poorly differentiated neuroendocrine carcinomas, constituted 62% (167/271) of the cases, while low-grade NETs, including well differentiated NET (grade1 and grade 2), pheochromocytomas, paragangliomas, and carcinoid tumors of lung, constituted 38% (104/271) of cases. The most common diagnosis was metastatic small cell carcinoma accounting for 45% (122/271) of cases. The most common primary sites were lung (44%; 119/271) followed by pancreas (19%; 51/271). The FNA diagnosis was confirmed by histopathology in 121 cases that had a concurrent biopsies or resection specimens. Conclusions FNA is an accurate method for diagnosing metastatic NETs to the liver. There were significantly more high-grade (62%) than low-grade (38%) metastatic NETs to the liver. In our practice, lung (44%) and pancreas (19%) were the most common primary sites of metastatic NETs involving the liver. In 16% of the cases, a primary site could not be established.
Stock Volatility during the Recent Financial Crisis

This paper uses monthly returns from 1802 to 2010, daily returns from 1885 to 2010, and intraday returns from 1982 to 2010 in the USA to show how stock volatility has changed over time. It also uses various measures of volatility implied by option prices to infer what the market was expecting to happen in the months following the financial crisis in late 2008. This episode was associated with historically high levels of stock market volatility, particularly among financial sector stocks, but the market did not expect volatility to remain high for long and it did not. This is in sharp contrast to the prolonged periods of high volatility during the Great Depression. Similar analysis of stock volatility in the United Kingdom and Japan reinforces the notion that the volatility seen in the 2008 crisis was relatively short-lived. While there is a link between stock volatility and real economic activity, such as unemployment rates, it can be misleading.
Electrical Investigation of Metal-Olivine Systems and Application to the Deep Interior of Mercury

We report electrical conductivity measurements on metal-olivine systems at about 5 and 6 GPa and up to 1,675°C in order to investigate the electrical properties of core-mantle boundary (CMB) systems. Electrical experiments were conducted in the multianvil apparatus using the impedance spectroscopy technique. The samples are composed of one metal layer (Fe, FeS, FeSi2, or Fe-Ni-S-Si) and one polycrystalline olivine layer, with the metal:olivine ratio ranging from 1:0.7 to 1:9.2. For all samples, we observe that the bulk electrical conductivity increases with temperature from 10−2.5 to 101.8 S/m, which is higher than the conductivity of polycrystalline olivine but lower than the conductivity of the pure metal phase at similar conditions. In some experiments, a conductivity jump is observed at the temperature corresponding to the melting temperature of the metallic phase. Both the metal:olivine ratio and the metal phase geometry control the electrical conductivity of the two-layer samples. By combining electrical results, textural analyses of the samples, and previous studies of the structure and composition of Mercury's interior, we propose an electrical profile of the deep interior of the planet that accounts for a layered CMB-outer core structure. The electrical model agrees with existing conductivity estimates of Mercury's lower mantle and CMB using magnetic observations and thermodynamic calculations, and thus, supports the hypothesis of a layered CMB-outermost core structure in the present-day interior of Mercury. We propose that the layered CMB-outer core structure is possibly electrically insulating, which may influence the planet's structure and cooling history.
Governance over Economics: Making Globalisation Good for the Poor

Abstract. The paper employs different definitions of inequality/ equality and investigates how globalisation is associated with these welfare measures. The nations’ proximity to post modernism development culture through international cooperation may enable countries to strengthen their social, economic, legal and political institutions. We find that adopting well developed institutional governance practices as matter of greater integration with modern 21 st century governance culture creates thriving middle classes in developing countries enabling a downward pressure on inequality of incomes and wages. In contrast, integration of goods and services with world markets puts upward pressure on the wages of skilled in contrast with the unskilled causing industrial wage inequalities in both developed and developing countries. The paper recommends in line with the recent literature on pre mature de industrialisation phenomenon that countries may protect their local industries to provide jobs to locals and thus enable the gains of trade to be more equally distributed among the populations. This can be done by choosing the second best option towards global integration and that is to promote regionalism within geographical clusters. Keywords. Globalisation, Governance, Middle Class, Inequality. JEL. F60, G30, G38.
Bayesian modeling of accelerated life tests with random effects

We show how to use Bayesian modeling to make inference on the basis of data from an accelerated life test where the test units come from different groups (such as batches) and the group effect is random and significant both statistically and practically. Our approach can handle multiple random effects and several accelerating factors. However, we present our approach on the basis on an important application concerning pressure vessels wrapped in Kevlar 49 fibers where the fibers of each vessel comes from a single spool and the spool effect is random. We show how Bayesian modeling using Markov chain Monte Carlo (MCMC) methods can be used to easily answer questions of interest in accelerated life tests with random effects that are not easily answered with more traditional methods. For example, we can predict the lifetime of a pressure vessel wound with a Kevlar 49 fiber either from a spool used in the accelerated life test or from another random spool from the population of spools. We comment on the implications that this analysis has on the estimates of reliability (and safety) for the Space Shuttle, which has a system of 22 such pressure vessels. Our approach is implemented in the freely available WinBUGS software so that readers can apply the method to their own data.
CrossPlan: systematic planning of genetic crosses to validate mathematical models.

Motivation Mathematical models of cellular processes can systematically predict the phenotypes of novel combinations of multi-gene mutations. Searching for informative predictions and prioritizing them for experimental validation is challenging since the number of possible combinations grows exponentially in the number of mutations. Moreover, keeping track of the crosses needed to make new mutants and planning sequences of experiments is unmanageable when the experimenter is deluged by hundreds of potentially informative predictions to test. Results We present CrossPlan, a novel methodology for systematically planning genetic crosses to make a set of target mutants from a set of source mutants. We base our approach on a generic experimental workflow used in performing genetic crosses in budding yeast. We prove that the CrossPlan problem is NP-complete. We develop an integer-linear-program (ILP) to maximize the number of target mutants that we can make under certain experimental constraints. We apply our method to a comprehensive mathematical model of the protein regulatory network controlling cell division in budding yeast. We also extend our solution to incorporate other experimental conditions such as a delay factor that decides the availability of a mutant and genetic markers to confirm gene deletions. The experimental flow that underlies our work is quite generic and our ILP-based algorithm is easy to modify. Hence, our framework should be relevant in plant and animal systems as well. Availability and implementation CrossPlan code is freely available under GNU General Public Licence v3.0 at https://github.com/Murali-group/crossplan. Supplementary information Supplementary data are available at Bioinformatics online.
The economic analysis of antitrust consents

Henry G. Manne, our friend, Mentor, and colleague, was a pioneer in the economic analysis of law. By consistently challenging the notion that existing institutions were well understood, he expanded the domain of economics to new and fertile ground. In that spirit, our goal in this article is to bring out of the shadows an institution that has thus far evaded the light of economic analysis: antitrust consents. In our view, competition authorities around the world should be asking themselves what ratio of litigation to settlement is optimal for their agency. Over the last 35 years, the United States Federal Trade Commission and the Antitrust Division of the Department of Justice have shifted dramatically toward greater reliance upon consent decrees than upon litigation to resolve antitrust disputes. As an aid to national competition agencies considering the desirability of adopting a similar approach, we focus upon the importance of economic analysis in evaluating movement along the continuum from a law enforcement model to a regulatory model of agency behavior. We draw upon the U.S. experience to substantiate our claim that the costs associated with a shift toward the regulatory model, including the potential distortion in the development of substantive antitrust doctrine, may be under-appreciated and discernable only in the long run. We acknowledge that consent decrees can and should be an important tool in an antitrust agency’s toolkit for resolving antitrust disputes. We contend, however, that a full economic analysis of reliance primarily upon consent decrees is necessary to inform each competition agency’s strategic decision about the optimal mix of law enforcement and regulatory techniques.
Calcium-Activated Cl - Channel: Insights on the Molecular Identity in Epithelial Tissues

Calcium-activated chloride secretion in epithelial tissues has been described for many years. However, the molecular identity of the channel responsible for the Ca2+-activated Cl− secretion in epithelial tissues has remained a mystery. More recently, TMEM16A has been identified as a new putative Ca2+-activated Cl− channel (CaCC). The primary goal of this article will be to review the characterization of TMEM16A, as it relates to the physical structure of the channel, as well as important residues that confer voltage and Ca2+-sensitivity of the channel. This review will also discuss the role of TMEM16A in epithelial physiology and potential associated-pathophysiology. This will include discussion of developed knockout models that have provided much needed insight on the functional localization of TMEM16A in several epithelial tissues. Finally, this review will examine the implications of the identification of TMEM16A as it pertains to potential novel therapies in several pathologies.
Cultivation and genomics of the first freshwater SAR11 (LD12) isolate

Evolutionary transitions between fresh and salt water happen infrequently among bacterioplankton. Within the ubiquitous and highly abundant heterotrophic Alphaproteobacteria order Pelagibacterales (SAR11), most members live in marine habitats, but the LD12 subclade has evolved as a unique freshwater lineage. LD12 cells occur as some of the most dominant freshwater bacterioplankton, yet this group has remained elusive to cultivation, hampering a more thorough understanding of its biology. Here, we report the first successful isolation of an LD12 representative, strain LSUCC0530, using high-throughput dilution-to-extinction cultivation methods, and its complete genome sequence. Growth experiments corroborate ecological data suggesting active populations of LD12 in brackish water up to salinities of ~5. LSUCC0530 has the smallest closed genome thus far reported for a SAR11 strain (1.16 Mbp). The genome affirms many previous metabolic predictions from cultivation-independent analyses, like a complete Embden-Meyerhof-Parnas glycolysis pathway, but also provides novel insights, such as the first isocitrate dehydrogenase in LD12, a likely homologous recombination of malate synthase from outside of the SAR11 clade, and analogous substitutions of ion transporters with others that occur throughout the rest of the SAR11 clade. Growth data support metagenomic recruitment results suggesting temperature-based ecotype diversification within LD12. Key gene losses for osmolyte uptake provide a succinct hypothesis for the evolutionary transition of LD12 from salt to freshwater. For strain LSUCC0530, we propose the provisional nomenclature Candidatus fonsibacter ubiquis.
A Structured Variational Autoencoder for Contextual Morphological Inflection

Statistical morphological inflectors are typically trained on fully supervised, type-level data. One remaining open research question is the following: How can we effectively exploit raw, token-level data to improve their performance? To this end, we introduce a novel generative latent-variable model for the semi-supervised learning of inflection generation. To enable posterior inference over the latent variables, we derive an efficient variational inference procedure based on the wake-sleep algorithm. We experiment on 23 languages, using the Universal Dependencies corpora in a simulated low-resource setting, and find improvements of over 10% absolute accuracy in some cases.
Parallel low discrepancy parameter sweep for public health policy

Numerical simulations are used to analyze the effectiveness of alternate public policy choices in limiting the spread of infections. In practice, it is usually not feasible to predict their precise impacts due to inherent uncertainties, especially at the early stages of an epidemic. One option is to parameterize the sources of uncertainty and carry out a parameter sweep to identify their robustness under a variety of possible scenarios. The Self Propelled Entity Dynamics (SPED) model has used this approach successfully to analyze the robustness of different airline boarding and deplaning procedures. However, the time taken by this approach is too large to answer questions raised during the course of a decision meeting. In this paper, we use a modified approach that pre-computes simulations of passenger movement, performing only the disease-specific analysis in real time. A novel contribution of this paper lies in using a low discrepancy sequence (LDS) in the parameter sweep, and demonstrating that it can lead to a reduction in analysis time by one to three orders of magnitude over the conventional lattice-based parameter sweep. However, its parallelization suffers from greater load imbalance than the conventional approach. We examine this and relate it to number-theoretic properties of the LDS. We then propose solutions to this problem. Our approach and analysis are applicable to other parameter sweep problems too. The primary contributions of this paper lie in the new approach of low discrepancy parameter sweep and in exploring solutions to challenges in its parallelization, evaluated in the context of an important public health application.
Recognition in Terra Incognita

It is desirable for detection and classification algorithms to generalize to unfamiliar environments, but suitable benchmarks for quantitatively studying this phenomenon are not yet available. We present a dataset designed to measure recognition generalization to novel environments. The images in our dataset are harvested from twenty camera traps deployed to monitor animal populations. Camera traps are fixed at one location, hence the background changes little across images; capture is triggered automatically, hence there is no human bias. The challenge is learning recognition in a handful of locations, and generalizing animal detection and classification to new locations where no training data is available. In our experiments state-of-the-art algorithms show excellent performance when tested at the same location where they were trained. However, we find that generalization to new locations is poor, especially for classification systems.(The dataset is available at https://beerys.github.io/CaltechCameraTraps/)
Approximation algorithms for euler genus and related problems

The Euler genus of a graph is a fundamental and well-studied parameter in graph theory and topology. Computing it has been shown to be NP-hard by Thomassen [J. Algorithms, 10 (1989), pp. 568--576; ...
Shared Multi-Task Imitation Learning for Indoor Self-Navigation

Deep imitation learning enables robots to learn from expert demonstrations to perform tasks such as lane following or obstacle avoidance. However, in the traditional imitation learning framework, one model only learns one task, and thus it lacks of the capability to support a robot to perform various different navigation tasks with one model in indoor environments. This paper proposes a new framework, Shared Multi-headed Imitation Learning (SMIL), that allows a robot to perform multiple tasks with one model without switching among different models. We model each task as a sub-policy and design a multi-headed policy to learn the shared information among related tasks by summing up activations from all sub-policies. Compared to single or non-shared multi-headed policies, this framework is able to leverage correlated information among tasks to increase performance. We have implemented this framework using a robot based on NVIDIA TX2 and performed extensive experiments in indoor environments with different baseline solutions. The results demonstrate that SMIL has doubled the performance over non-shared multi-headed policy.
A Transport Method for Restoring Incomplete Ocean Current Measurements

Remote sensing of oceanographic data often yields incomplete coverage of the measurement domain. This can limit interpretability of the data and identification of coherent features informative of ocean dynamics. Several methods exist to fill gaps of missing oceanographic data, and are often based on projecting the measurements onto basis functions or a statistical model. Herein, we use an information transport approach inspired from an image processing algorithm. This approach aims to restore gaps in data by advecting and diffusing information of features as opposed to the field itself. Since this method does not involve fitting or projection, the portions of the domain containing measurements can remain unaltered, and the method offers control over the extent of local information transfer. This method is applied to measurements of ocean surface currents by high frequency radars. This is a relevant application because data coverage can be sporadic and filling data gaps can be essential to data usability. Application to two regions with differing spatial scale is considered. The accuracy and robustness of the method is tested by systematically blinding measurements and comparing the restored data at these locations to the actual measurements. These results demonstrate that even for locally large percentages of missing data points, the restored velocities have errors within the native error of the original data (e.g., $<10$% for velocity magnitude and $<3$% for velocity direction). Results were relatively insensitive to model parameters, facilitating a priori selection of default parameters for de novo applications.
Credit union business models

Credit union decisions on how funds are raised and invested and what services to provide are guided by their business models and should be reflected by credit union financial statements. We use cluster analysis to group credit unions using common size financial statement variables such that the financial statements are similar within credit union groups and distinct across groups. This allows the assignment of credit unions to groups by knowing their essential elements but without predefining the groups. In this paper, we present six credit union strategic groups differentiated from each other by their asset-liability management choices and the services they provide members. Identifying the various credit union groups provides a clearer picture of their business models and the economic roles that different credit unions play.
Media Accessibility Policy in Theory and Reality: Empirical Outreach to Audio Description Users in the United States

Audio description, a form of trans-modal media translation, allows people who are blind or visually impaired access to visually-oriented, socio-cultural, or historical public discourse alike. Although audio description has gained more prominence in media policy and research lately, it rarely has been studied empirically. Yet this paper presents quantitative and qualitative survey data on its challenges and opportunities, through the analysis of responses from 483 participants in a national sample, with 334 of these respondents being blind. Our results give insight into audio description use in broadcast TV, streaming services, for physical media, such as DVDs, and in movie theaters. We further discover a multiplicity of barriers and hindrances which prevent a better adoption and larger proliferation of audio description. In our discussion, we present a possible answer to these problems - the UniDescription Project - a media ecosystem for the creation, curation, and dissemination of audio description for multiple media platforms.
Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation

Unsupervised domain adaptation has caught appealing attentions as it facilitates the unlabeled target learning by borrowing existing well-established source domain knowledge. Recent practice on domain adaptation manages to extract effective features by incorporating the pseudo labels for the target domain to better solve cross-domain distribution divergences. However, existing approaches separate target label optimization and domain-invariant feature learning as different steps. To address that issue, we develop a novel Graph Adaptive Knowledge Transfer (GAKT) model to jointly optimize target labels and domain-free features in a unified framework. Specifically, semi-supervised knowledge adaptation and label propagation on target data are coupled to benefit each other, and hence the marginal and conditional disparities across different domains will be better alleviated. Experimental evaluation on two cross-domain visual datasets demonstrates the effectiveness of our designed approach on facilitating the unlabeled target task learning, compared to the state-of-the-art domain adaptation approaches.
Dynamic Pricing (and Assortment) Under a Static Calendar

This work is motivated by our collaboration with a large consumer packaged goods (CPG) company. We have found that whereas the company appreciates the advantages of dynamic pricing, they deem it op...
Auditing Goodwill in the Post‐Amortization Era: Challenges for Auditors

The elimination of goodwill amortization in 2001 brought about significant change in how companies are required to account for goodwill. This change in accounting also brought with it new challenges for auditors, namely evaluating the reasonableness of management's assumptions related to goodwill valuation. In addition to introducing technical challenges, this task is particularly difficult given the misalignment in incentives it creates between managers who likely prefer to avoid recording an impairment and auditors who seek to minimize the bias in management's impairment testing. This study focuses on the consequences of the misaligned incentives that auditors face under the current goodwill assessment process. We find that the decision to record a goodwill impairment is associated with an increase in the probability of auditor dismissal. Consistent with the presence of significant friction with clients, our results also indicate that the likelihood of auditor dismissals is negatively related to the favorability of the impairment decision. Furthermore, we find that companies impairing goodwill prior to dismissing auditors subsequently employ auditors that are, on average, more favorable to clients in their impairment decisions. Audit de l'ecart d'acquisition apres suppression de l'amortissement : un defi pour les auditeurs La suppression de l'amortissement de l'ecart d'acquisition (goodwill) en 2001 a engendre une importante modification dans la facon dont les societes doivent comptabiliser l'ecart d'acquisition. Cette modification s'assortit de nouveaux defis pour les auditeurs, appeles a juger du caractere raisonnable des hypotheses de la direction en ce qui a trait a l'evaluation de l'ecart d'acquisition. En plus de poser des difficultes techniques, cette tâche est particulierement ardue en raison de la divergence des objectifs vises par les gestionnaires, enclins a eviter la comptabilisation d'une perte de valeur, et par les auditeurs, desireux de reduire le plus possible la subjectivite des tests de depreciation effectues par la direction. Les auteurs s'interessent plus particulierement aux consequences de cette problematique de divergence a laquelle sont exposes les auditeurs dans le processus actuel d'evaluation de l'ecart d'acquisition. Ils constatent que la decision de comptabiliser une perte de valeur de l'ecart d'acquisition est associee a une hausse de la probabilite de non‐reconduction du mandat de l'auditeur. Les resultats de l'etude, en concordance avec la presence de frictions importantes avec les clients, revelent egalement que la probabilite de non‐reconduction du mandat de l'auditeur est en relation negative avec le caractere favorable de la decision de l'auditeur quant a la perte de valeur. Les auteurs observent en outre que les societes qui reduisent la valeur de l'ecart d'acquisition avant de revoquer le mandat des auditeurs retiennent les services d'auditeurs qui sont, en moyenne, plus favorables aux clients dans leurs decisions quant a la perte de valeur.
The challenges of upward regulatory harmonization: The case of sustainability reporting in the European Union

What are the prospects for the upward harmonization of regulatory standards, and why do governments support or oppose more stringent supranational regulation? To answer these questions, this paper examines an important case of upward regulatory harmonization, the European Union's non‐financial disclosure Directive 2014/95/EU, which requires large firms to report on their social, environmental, and human rights impacts. In spite of favorable circumstances, the Directive's opponents watered down the Commission's proposal during the course of the negotiations. Upward regulatory harmonization is difficult because of the adjustment costs it imposes on the private sector. The paper provides an in‐depth analysis of countries’ positions in the negotiations: Germany was the most hardline opponent, France the strongest supporter, and the United Kingdom was somewhere in‐between. For most countries, private sector adjustment costs determine government support and opposition for upward harmonization at the supranational level, but the analysis shows that partisan politics and varieties of capitalism also matter.
HOHFELD VS. THE LEGAL REALISTS

2018 marked the centenary of Wesley Hohfeld's untimely passing. Curiously, in recent years quite a few legal historians and philosophers have identified him as a Legal Realist. This article argues that Hohfeld was no such thing, that his work need not be understood in such lights either, and that he in fact made a smaller contribution to jurisprudence than is generally believed. He has nothing to do with theories of official decision-making that identify, among other things, “extra-legal” factors as the real drivers of judicial decision-making, nor must his schema of jural relations advance a “Realist” political agenda. Distinguishing Hohfeld from the Realists will help to correct some misunderstandings about his work and point to its utility in many more contexts than a Realist reading of it allows.
Exemestane may be less detrimental than letrozole to bone health in women homozygous for the UGT2B17*2 gene deletion

UGT2B17 gene deletion (UGT2B17*2) has been reported to affect bone health as well as the pharmacokinetics of aromatase inhibitor (AI) drugs such as exemestane. The goal of this study was to assess associations between UGT2B17 gene deletion and bone health prior to and after 24 months of AI treatment in postmenopausal women with hormone receptor positive (HR+) breast cancer. Bone health in women with HR+ breast cancer enrolled on the prospective randomized Exemestane and Letrozole Pharmacogenetics (ELPh) trial was determined by measuring bone turnover markers (BTM) and bone mineral density (BMD) pre-treatment and after 3 BTM and 24 BMD months of treatment with either the steroidal AI exemestane or the nonsteroidal AI letrozole. DNA samples were genotyped for UGT2B17*2. Of the 455 subjects included in the analyses, 244 (53.6%) carried at least one copy of UGT2B17*2. UGT2B17*2 was associated with lower pre-treatment BMD at the hip (P = 0.01) and spine (P = 0.0076). Letrozole treatment was associated with a greater decrease in BMD of the hip (P = 0.03) and spine (P = 0.03) than exemestane. UGT2B17 genotype was not associated with changes in BMD from 24 months of AI treatment, though in UGT2B17*2 homozygous patients, there was a trend toward greater decreases in BMD of the spine from treatment with letrozole compared with exemestane (P = 0.05). UGT2B17*2 may be associated with lower baseline BMD in women with HR+ breast cancer. Exemestane is less detrimental to bone health than letrozole in postmenopausal women treated with AI, and this effect may be confined to patients carrying UGT2B17*2, though this finding requires independent validation.
The effects of scarcity on cheating and in-group favoritism

Abstract We study the impact of scarcity on cheating and in-group favoritism using a two-period lab-in-the-field experiment with low-income coffee farmers in a small, isolated village in Guatemala. During the coffee harvesting months, farmers in this village experience a significant income boost from selling their coffee beans. However, during the non-harvesting months, they experience a substantial decline in income, inducing a pronounced state of scarcity, while other factors remain similar. Using this distinctive variance in income, we first conduct our experiment before the coffee harvest (Scarcity period). We then repeat the experiment with the same group of subjects during the harvest season (Abundance period). First, using the Fischbacher and Follmi-Heusi (2013) die-roll paradigm, we find that subjects cheat at high levels in both periods when they are the beneficiaries of the cheating. Scarcity does not impact this cheating behavior. Secondly, using subjects’ natural village identity, we find significant in-group favoritism for cheating in the Abundance period, which disappears during the Scarcity period. Finally, using a dictator game, we show that this finding holds even when the cost of favoring an in-group member is monetary rather than moral.
Along-axon diameter variation and axonal orientation dispersion revealed with 3D electron microscopy: implications for quantifying brain white matter microstructure with histology and diffusion MRI

Tissue microstructure modeling of diffusion MRI signal is an active research area striving to bridge the gap between macroscopic MRI resolution and cellular-level tissue architecture. Such modeling in neuronal tissue relies on a number of assumptions about the microstructural features of axonal fiber bundles, such as the axonal shape (e.g., perfect cylinders) and the fiber orientation dispersion. However, these assumptions have not yet been validated by sufficiently high-resolution 3-dimensional histology. Here, we reconstructed sequential scanning electron microscopy images in mouse brain corpus callosum, and introduced a random-walker (RaW)-based algorithm to rapidly segment individual intra-axonal spaces and myelin sheaths of myelinated axons. Confirmed by a segmentation based on human annotations initiated with conventional machine-learning-based carving, our semi-automatic algorithm is reliable and less time-consuming. Based on the segmentation, we calculated MRI-relevant estimates of size-related parameters (inner axonal diameter, its distribution, along-axon variation, and myelin g-ratio), and orientation-related parameters (fiber orientation distribution and its rotational invariants; dispersion angle). The reported dispersion angle is consistent with previous 2-dimensional histology studies and diffusion MRI measurements, while the reported diameter exceeds those in other mouse brain studies. Furthermore, we calculated how these quantities would evolve in actual diffusion MRI experiments as a function of diffusion time, thereby providing a coarse-graining window on the microstructure, and showed that the orientation-related metrics have negligible diffusion time-dependence over clinical and pre-clinical diffusion time ranges. However, the MRI-measured inner axonal diameters, dominated by the widest cross sections, effectively decrease with diffusion time by ~ 17% due to the coarse-graining over axonal caliber variations. Furthermore, our 3d measurement showed that there is significant variation of the diameter along the axon. Hence, fiber orientation dispersion estimated from MRI should be relatively stable, while the “apparent” inner axonal diameters are sensitive to experimental settings, and cannot be modeled by perfectly cylindrical axons.
The Coming Wave: Where Do Emerging Market Investors Put Their Money?

Using country- and institution-level data, we find that the “coming wave” of emerging- market (EM) investors systematically over- or underweight their equity portfolio holdings in a way that reflects the influences of past capital and trade flows from a foreign country. We interpret this finding as support for van Nieuwerburgh and Veldkamp (2009) information endowment hypothesis. Strong past capital and trade flows create an information advantage that leads EM investors to disproportionately overweight a given foreign market, even relative to developed market investor counterparts. We also pursue predictions of the information endowment hypothesis by constructing novel information-advantage proxies based on relationships among investment firms and the headquarters of their parent companies. These proxies also offer reliable explanatory power for international portfolio allocations.
The phenomenon of summer diarrhea and its waning, 1910-1930

During the first two decades of the 20th century, diarrheal deaths among American infants and children surged every summer. Although we still do not know what pathogen (or pathogens) caused this phenomenon, the consensus view is that it was eventually controlled through public health efforts at the municipal level. Using data from 26 major American cities for the period 1910-1930, we document the phenomenon of summer diarrhea and explore its dissipation. We find that water filtration is associated with a 15 percent reduction in diarrheal mortality among children under the age of two during the non-summer months, but does not seem to have had an effect on diarrheal mortality during the summer. In general, we find little evidence to suggest that public health interventions undertaken at the municipal level contributed to the dissipation of summer diarrhea.
Genomic Resolution of DLX-Orchestrated Transcriptional Circuits Driving Development of Forebrain GABAergic Neurons.

DLX transcription factors (TFs) are master regulators of the developing vertebrate brain, driving forebrain GABAergic neuronal differentiation. Ablation of Dlx1&2 alters expression of genes that are critical for forebrain GABAergic development. We integrated epigenomic and transcriptomic analyses, complemented with in situ hybridization (ISH), and in vivo and in vitro studies of regulatory element (RE) function. This revealed the DLX-organized gene regulatory network at genomic, cellular, and spatial levels in mouse embryonic basal ganglia. DLX TFs perform dual activating and repressing functions; the consequences of their binding were determined by the sequence and genomic context of target loci. Our results reveal and, in part, explain the paradox of widespread DLX binding contrasted with a limited subset of target loci that are sensitive at the epigenomic and transcriptomic level to Dlx1&2 ablation. The regulatory properties identified here for DLX TFs suggest general mechanisms by which TFs orchestrate dynamic expression programs underlying neurodevelopment.
Quantification of Error for Rapid Fleet-Level Noise Computation Model Assumptions

A rapid fleet-level noise computation model is assessed to quantify errors associated with its simplifying assumptions. A method for rapidly evaluating population exposure to significant noise by m...
Hydroalkylation of Olefins To Form Quaternary Carbons

Metal-hydride hydrogen atom transfer (MHAT) functionalizes alkenes with predictable branched (Markovnikov) selectivity. The breadth of these transformations has been confined to π-radical traps; no sp3 electrophiles have been reported. Here we describe a Mn/Ni dual catalytic system that hydroalkylates unactivated olefins with unactivated alkyl halides, yielding aliphatic quaternary carbons.
The Compositional Diversity of Low-Mass Exoplanets

Low-mass planets have an extraordinarily diverse range of bulk compositions, from primarily rocky worlds to those with deep gaseous atmospheres. As techniques for measuring the masses of exoplanets...