cssi/SciSciGPT-SciSciNet huggingface dataset:
Exploring energy and accuracy tradeoff in structure simplification of trained deep neural networks

This paper presents a structure simplification procedure that allows efficient energy and accuracy tradeoffs in implementation of trained deep neural networks (DNNs). This structure simplification procedure identifies and eliminates redundant neurons in any layer of the DNN based on the trained weights connected from these neurons. This procedure may be applied to all layers of a DNN. For each layer different configurations with Pareto-optimal accuracy and energy consumption are realized. Our work is the first to use energy-accuracy trade-offs to guide optimal structure realization of trained DNNs. After redundant neurons are discarded, the weights of remaining neurons will be updated using matrix multiplication without retraining. Yet, retraining may still be applied if desired to further fine tune the performance. In our experiments, we show energy-accuracy tradeoff provides clear guidance to achieve efficient realization of trained DNNs. We also observe significant implementation cost reductions with up to 33X in energy and 12X in memory while the performance (accuracy) loss is negligible.
Subjectivity in Professionals' Incentive Systems: Differences between Promotion‐ and Performance‐Based Assessments

We examine how managers assess performance and promotion prospects—that is, the ex ante likelihood of promotion—and the conditions under which these assessments diverge. We argue that managers apply different cognitive schemas when they make different assessments. To the extent that a signal provides different information about future versus current contributions, assessed performance and promotion prospects are likely to diverge. In two experiments, we manipulate professionals' promotion eligibility and level of consultative decision making. We find that experienced managers assess performance and promotion prospects differently, but only when professionals are promotion eligible. Specifically, more (as opposed to less) consultative decision making decreases promotion prospects while not affecting assessed performance (Experiment 1) or even improving it (Experiment 2). By contrast, more consultative decision making improves both assessments when professionals are not eligible for promotion. We shed light on the relations between subjective assessments, including that promotion is not necessarily the consequence of superior assessed performance. Les auteurs analysent la facon dont les gestionnaires procedent a l'evaluation du rendement et a celle des perspectives de promotion — soit la probabilite de promotion a priori — ainsi que les circonstances dans lesquelles ces evaluations divergent. Ils soutiennent que les gestionnaires adoptent des schemas cognitifs differents lorsque leurs evaluations ont des fins differentes. Dans la mesure ou un signal livre de l'information differente au sujet des apports futurs d'un sujet comparativement a ses apports presents, l'evaluation du rendement et celle des perspectives de promotion sont susceptibles de diverger. Les auteurs menent deux experiences dans lesquelles ils manipulent l'admissibilite de professionnels a une promotion et l'importance de leur recours a la consultation dans leur processus decisionnel. Ils constatent que les gestionnaires experimentes evaluent le rendement et les perspectives de promotion differemment, mais uniquement lorsque les professionnels evalues sont admissibles a une promotion. Concretement, un processus decisionnel plus consultatif (par opposition a un processus decisionnel qui l'est moins) diminue les perspectives de promotion sans avoir d'incidence sur l'evaluation du rendement (premiere experience), voire meme en ameliorant l'evaluation du rendement (seconde experience). En revanche, un processus decisionnel plus consultatif ameliore a la fois l'evaluation du rendement et celle des perspectives de promotion lorsque les professionnels evalues ne sont pas admissibles a une promotion. Les auteurs jettent un eclairage sur les relations entre les evaluations subjectives, en soulignant notamment le fait que la promotion n'est pas necessairement l'issue d'une evaluation du rendement superieure.
Automated design of collective variables using supervised machine learning.

Selection of appropriate collective variables (CVs) for enhancing sampling of molecular simulations remains an unsolved problem in computational modeling. In particular, picking initial CVs is particularly challenging in higher dimensions. Which atomic coordinates or transforms there of from a list of thousands should one pick for enhanced sampling runs? How does a modeler even begin to pick starting coordinates for investigation? This remains true even in the case of simple two state systems and only increases in difficulty for multi-state systems. In this work, we solve the “initial” CV problem using a data-driven approach inspired by the field of supervised machine learning (SML). In particular, we show how the decision functions in SML algorithms can be used as initial CVs (SMLcv) for accelerated sampling. Using solvated alanine dipeptide and Chignolin mini-protein as our test cases, we illustrate how the distance to the support vector machines’ decision hyperplane, the output probability estimates from logistic regression, the outputs from shallow or deep neural network classifiers, and other classifiers may be used to reversibly sample slow structural transitions. We discuss the utility of other SML algorithms that might be useful for identifying CVs for accelerating molecular simulations.
A brief introduction to the philosophy of information

The term “information” and its various meanings across several domains have spawned a growing research area in the discipline of philosophy known as the philosophy of information (PI). The following briefly outlines a taxonomy of the field addressing: 1) what is the philosophy of information; 2) what is information; 3) open problems in the philosophy of information; 4) paradoxes of information; 5) philosophy as the philosophy of information; 6) information metaphysics; and 7) information ethics. Keywords: Philosophy of information. Information. Link: http://revista.ibict.br/fiinf/article/view/3005/2755
Small firms’ formalization : the stick treatment

Firm informality is pervasive throughout the developing world, Bangladesh being no exception. The informal status of many firms substantially reduces the tax basis and therefore impacts the provision of public goods. The literature on encouraging formalization has predominantly focused on reducing the direct costs of formalization and has found negligible impacts of such policies. This paper focuses on a stick intervention, which to the best of the knowledge of the authors is the first one in a developing country setting that deals with the most direct and dominant form of informality, i.e. registration with the tax authority with a direct link to the country's potential revenue base and thus public goods provision. The paper implements an experiment in which firms are visited by tax representatives who deliver an official letter from the Bangladesh National Tax Authority stating that the firm is not registered and the consequential punishment if the firm fails to register. The paper finds that the intervention increases the rate of registration among treated firms, while firms located in the same market but not treated do not seem to respond significantly. The paper also finds that only larger revenue firms at baseline respond to the threat and register. These findings have at least two important policy implications: i. the enforcement angle, which could be an important tool to encourage formalization; and ii. targeting of government resources for formalization to the high-end informal firms. The effects are generally small in levels and this leaves open the question of why many firms still do not register.
Improving Performance Models for Irregular Point-to-Point Communication

Parallel applications are often unable to take full advantage of emerging parallel architectures due to scaling limitations, which arise due to inter-process communication. Performance models are used to analyze the sources of communication costs. However, traditional models for point-to-point communication fail to capture the full cost of many irregular operations, such as sparse matrix methods. In this paper, a node-aware based model is presented. Furthermore, the model is extended to include communication queue search time as well as an additional parameter estimating network contention. The resulting model is applied to a variety of irregular communication patterns throughout matrix operations, displaying improved accuracy over traditional models.
Peritoneal dialysis-related peritonitis: challenges and solutions

Peritoneal dialysis is an effective treatment modality for patients with end-stage renal disease. The relative use of peritoneal dialysis versus hemodialysis varies widely by country. Data from a 2004 survey reports the percentage of patients with end-stage renal disease treated with peritoneal dialysis to be 5%-10% in economically developed regions like the US and Western Europe to as much as 75% in Mexico. This disparity is probably related to the availability and access to hemodialysis, or in some cases patient preference for peritoneal over hemodialysis. Peritoneal dialysis-related peritonitis remains the major complication and primary challenge to the long-term success of peritoneal dialysis. Fifty years ago, with the advent of the Tenckhoff catheter, patients averaged six episodes of peritonitis per year on peritoneal dialysis. In 2016, the International Society for Peritoneal Dialysis proposed a benchmark of 0.5 episodes of peritonitis per year or one episode every 2 years. Despite the marked reduction in peritonitis over time, peritonitis for the individual patient is problematic. The mortality for an episode of peritonitis is 5% and is a cofactor for mortality in another 16% of affected patients. Prevention of peritonitis and prompt and appropriate management of peritonitis is essential for the long-term success of peritoneal dialysis in all patients. In this review, challenges and solutions are addressed regarding the pathogenesis, clinical features, diagnosis, treatment, and prevention of peritoneal dialysis-related peritonitis from the viewpoint of an infectious disease physician.
Machine Learning Based Parallel I/O Predictive Modeling: A Case Study on Lustre File Systems

Parallel I/O hardware and software infrastructure is a key contributor to performance variability for applications running on large-scale HPC systems. This variability confounds efforts to predict application performance for characterization, modeling, optimization, and job scheduling. We propose a modeling approach that improves predictive ability by explicitly treating the variability and by leveraging the sensitivity of application parameters on performance to group applications with similar characteristics. We develop a Gaussian process-based machine learning algorithm to model I/O performance and its variability as a function of application and file system characteristics. We demonstrate the effectiveness of the proposed approach using data collected from the Edison system at the National Energy Research Scientific Computing Center. The results show that the proposed sensitivity-based models are better at prediction when compared with application-partitioned or unpartitioned models. We highlight modeling techniques that are robust to the outliers that can occur in production parallel file systems. Using the developed metrics and modeling approach, we provide insights into the file system metrics that have a significant impact on I/O performance.
A Fully Integrated Energy-Efficient H.265/HEVC Decoder With eDRAM for Wearable Devices

This paper proposes a fully integrated H.265/high efficiency video coding (HEVC) video decoder that supports real-time video playback within the 50-mW power budget of wearable devices, such as smart watches and virtual reality (VR) headsets. Specifically, this paper focuses on reducing data movement to and from off-chip memory as it dominates energy consumption, consuming 2.8–6 times more energy than processing in most video decoders. Embedded dynamic random access memory (eDRAM) is used for main memory, and several techniques are proposed to reduce the power consumption of the eDRAM itself: 1) lossless compression is used to store reference frames in two times fewer eDRAM macros, reducing refresh power by 33%; 2) eDRAM macros are powered up on-demand to further reduce refresh power by 33%; and 3) syntax elements are distributed to four decoder cores in a partially compressed form to reduce decoupling buffer power by four times. These approaches reduce eDRAM power by two times in a fully integrated H.265/HEVC decoder with the lowest reported system power. The test chip containing 10.5 MB of eDRAM requires no external memory and consumes 24.9–30.6 mW for decoding $1920\times 1080$ video at 24–50 frames/s.
Perceptual maps via enhanced correspondence analysis: representing confidence regions to clarify brand positions

Brand positioning is frequently facilitated by the use of perceptual maps. Several approaches exist for deriving such maps. This research uses the variability inherent in customer data to build confidence regions around brands and attributes in perceptual maps. Doing so generalizes the typical descriptive approach to a truer, statistical inferential approach to mapping. The resulting visualizations clarify the interpretations regarding which brands are similar, with overlapping confidence regions, and which brands are distinct, given non-overlapping confidence ellipses. The modeling is first demonstrated on a small, synthetic dataset and then on real consumer data. The model extension is shown to be useful, and it is relatively straightforward in implementation. It is hoped that this extension to this frequently used market mapping approach should enhance interpretive precision, and therefore, lead to more accurate and successful strategic positioning decisions.
Show Us Your Data: Connect the Dots, Improve Science

‘The truth is under attack’, I wrote earlier this decade (Levine, 2012). As the replication crisis became apparent, the alarm was timely. But now, a counter-attack is raging. In its arsenal are replications, open data, shared instruments, pre-registration of hypotheses and now – data visualizations.
Entangled decisions: Knowledge interdependencies and terminations of patented inventions in the pharmaceutical industry

Research Summary: This study explores the role of knowledge interdependencies on the termination of patented inventions. Termination refers to the abandonment of inventive efforts that are no longer deemed promising. We argue that high interdependencies between an inventive effort and the other inventions in the same research program will increase the cognitive burden on managers and decrease the likelihood of termination. Further, in the presence of interdependencies, managers are likely to rely on heuristics for termination decisions. We focus on two such heuristics: interdependencies of an invention with those in other research programs and the level of external competition in the research program. We test our hypotheses with longitudinal data on patent terminations through non‐payment of renewal fees in the pharmaceutical industry. Managerial Summary: Effective management of innovation portfolios requires termination of opportunities that are no longer promising. Most current tools on termination assume that opportunities to be evaluated are independent from one another. This assumption may limit their usefulness in increasingly complex research domains, such as pharmaceutical R&D. In this study, we investigate how interdependencies among inventions influence firms' tendency to terminate those inventions. Our results on patent terminations show that a patent that is more interdependent with other patents in the same research program is less likely to be terminated. This suggests that managers may have difficulty in evaluating the inherent value of interdependent opportunities. This result is stronger when the patent is less interdependent with those in other research programs or in a more competitive area.
Using the binomial model for the valuation of real options in computing optimal subsidies for Chinese renewable energy investments

Abstract For the valuation and implementation of renewable energy investments, the issue of providing private investors with a financial incentive to accelerate their investment is frequently a critical component. We apply this principle to the Chinese context. This paper focuses on using the binomial model to compute the required subsidy that would incentivize investors to optimal immediate exercise of the American-style option embedded at the launching phase of the projects for Chinese renewable energy investments. In addition, this paper also aims at contrasting the binomial model with the more-laborious Monte Carlo simulation previously used to evaluate the proper subsidy. By using the same data but a different method, and reducing the number of uncertain factors to one, it is suggested these two methods have similar outcomes but the binomial method requires substantially less computation and is more self-explanatory. This paper thus provides government with an easy-to-implement alternative way to compute the required subsidy.
Controlling multiple motors utilizing a single DSP controller

Traditionally the cost sensitive motor drive market forced designers to avoid DSP controllers for their drive design. However, several factors are rapidly changing this scenario. The prices of DSPs have dropped from hundreds of dollars to approximately three dollars since their introduction in the early 1980s. Moreover, DSPs can now integrate a variety of sophisticated peripherals. This integration of DSP core with a set of useful peripherals significantly simplifies the design. At the same time, the cost sensitive drives like heating ventilating and air conditioning (HVAC), appliances are starting to utilize variable speed drives to maximize the efficiency and comfort for the user. Many of these applications have more than one motor. For example, a typical HVAC system usually utilizes two motors. Until now, these motors were mainly operated at a fixed speed or at a set number of multiple speeds to minimize cost. This paper shows the advantages of using DSP controllers for such applications. It will be shown that these controllers provide a true single chip solution for these drives.
Inert and seed-competent tau monomers suggest structural origins of aggregation.

When doctors perform autopsies to look at the brain tissue of people with Alzheimer’s disease, they find toxic buildups of certain proteins – in particular, a protein called tau – in structures called ‘aggregates’. People with more severe dementia have more tau aggregates in their brain. Aggregates form when individual proteins stick together in repetitive patterns, much like the way a single Lego block might attach to another identical one. Like all proteins, tau is built from a string of amino acids that folds into a specific shape. Normally folded tau proteins do not form aggregates. It was not clear that an individual tau protein had two distinct forms—structures associated with health (“good”) or disease (“bad”). Mirbaha et al. have now studied the folding pattern of purified tau proteins with a sophisticated technology called mass spectrometry. This technique can measure changes in tiny amounts of protein. Some of the purified proteins had been extracted from human brains (from people with and without Alzheimer’s). To detect which of the proteins were toxic, Mirbaha et al. also grew simple human cells in a dish that were designed to react specifically to the bad forms of tau. This allowed the good and bad forms of tau to be isolated. Mirbaha et al. discovered that in the good form of tau the parts of the protein that allow it to stick to itself are hidden, folded inside. By contrast, the bad form of tau exposes the parts that allow it to aggregate, enabling the protein to build upon itself to form a large, toxic assembly. The shape-shifting concept established by Mirbaha et al. might apply to other proteins that form toxic aggregates. This could help us to better understand how many other neurodegenerative diseases develop and progress. Recognizing that the shapes that tau forms can be categorized as either ‘good’ or ‘bad’ may also help to develop new treatments for Alzheimer’s disease. Drugs could be designed to stabilize the good form of tau, or to help remove the bad form from the brain. Furthermore, if the shape-shift described by Mirbaha et al. can be measured early enough in patients, it may allow treatments for Alzheimer’s before people have developed any detectable symptoms.
Shape of the Cloak: Formal Analysis of Clock Skew-Based Intrusion Detection System in Controller Area Networks

This paper presents a new masquerade attack called the cloaking attack and provides formal analyses for clock skew-based intrusion detection systems (IDSs) that detect masquerade attacks in the controller area network (CAN) in automobiles. In the cloaking attack, the adversary manipulates the message inter-transmission times of spoofed messages by adding delays so as to emulate a desired clock skew and avoid detection. In order to predict and characterize the impact of the cloaking attack in terms of the attack success probability on a given CAN bus and IDS, we develop formal models for two clock skew-based IDSs, i.e., the state-of-the-art (SOTA) IDS and its adaptation to the widely used network time protocol (NTP), using parameters of the attacker, the detector, and the hardware platform. To the best of our knowledge, this is the first paper that provides formal analyses of clock skew-based IDSs in automotive CAN. We implement the cloaking attack on two hardware testbeds, a prototype and a real vehicle (the University of Washington EcoCAR), and demonstrate its effectiveness against both the SOTA and NTP-based IDSs. By comparing each predicted attack success probability curve against its experimental curve, we find that the average prediction error is within 3.0% for the SOTA IDS and 5.7% for the NTP-based IDS.
Forecasting Methods in Finance

Our review highlights some of the key challenges in financial forecasting problems and opportunities arising from the unique features of financial data. We analyze the difficulty of establishing pr...
The Radiopacity and Antimicrobial Properties of Different Radiopaque Double Antibiotic Pastes Used in Regenerative Endodontics.

Abstract Introduction We evaluated the radiopacity and antibacterial properties of various concentrations of double antibiotic paste (DAP) containing barium sulfate (BaSO4) or zirconium oxide (ZrO2) radiopaque agents. Methods The radiopacity of 1, 10, and 25 mg/mL DAP containing 30% (w/v) BaSO4 or ZrO2, DAP-free radiopaque pastes, and commercially available radiopaque calcium hydroxide (Ca[OH]2) were evaluated according to ISO 6876/2001 with slight modifications (n = 6 per group). Dentin samples (n = 70) infected anaerobically for 3 weeks with bacterial biofilms obtained from a root canal of an immature tooth with pulpal necrosis were treated with similar experimental pastes or received no treatment (n = 7). After 1 week, the pastes were rinsed off, and biofilm disruption assays were conducted. To show the residual antibacterial effects, sterile dentin samples (n = 70) were pretreated for 1 week with the same pastes (n = 7). The pastes were rinsed off, and the samples were immersed in phosphate-buffered saline for 24 hours and infected anaerobically with the same bacterial biofilm mentioned earlier for 3 weeks before conducting biofilm disruption assays. Sterile dentin blocks were used in both antibacterial analyses as negative control groups (n = 7). Wilcoxon rank sum tests were used for statistical analyses. Results No tested concentrations of BaSO4 DAP or ZrO2 DAP showed significant differences from Ca(OH)2 in radiopacity. However, all tested concentrations of BaSO4 DAP, ZrO2 DAP, and Ca(OH)2 exhibited significant direct antibacterial effects. ZrO2 DAP at 1 mg/mL and Ca(OH)2 did not show significant residual antibacterial effects. Conclusions BaSO4 DAP at 1 mg/mL provided significantly superior residual antibacterial effects and comparable radiopacity with the commercially available Ca(OH)2.
Emotion recognition using wireless signals

This paper demonstrates a new technology that can infer a person's emotions from RF signals reflected off his body. EQ-Radio transmits an RF signal and analyzes its reflections off a person's body to recognize his emotional state (happy, sad, etc.). The key enabler underlying EQ-Radio is a new algorithm for extracting the individual heartbeats from the wireless signal at an accuracy comparable to on-body ECG monitors. The resulting beats are then used to compute emotion-dependent features which feed a machine-learning emotion classifier. We describe the design and implementation of EQ-Radio, and demonstrate through a user study that its emotion recognition accuracy is on par with state-of-the-art emotion recognition systems that require a person to be hooked to an ECG monitor.
The effect of economic policy uncertainty on investor information asymmetry and management disclosures

Abstract Investor uncertainty about firm value drives investors’ information collection and trading activities, as well as managers’ disclosure choices. This study examines an important source of uncertainty that likely cannot be influenced by most managers and investors: uncertainty about government economic policy. We find that this uncertainty is associated with increased bid-ask spreads and decreased stock price reactions to earnings surprises. Managers respond to this uncertainty by increasing their voluntary disclosures, but these disclosures only partly mitigate the bid-ask spread increase. We conclude that government economic policy uncertainty is an important component of firms’ information environments and managers’ voluntary disclosure decisions.
On Distributed Storage Allocations of Large Files for Maximum Service Rate

Allocation of (redundant) file chunks throughout a distributed storage system affects important performance metrics such as the probability of file recovery, data download time, or the service rate of the system under a given data access model. This paper is concerned with the service rate under the assumption that the stored data is large and its download time is not negligible. We focus on quasi-uniform storage allocations and provide a service rate analysis for two common data access models. We find that the optimal allocation varies in accordance with different system parameters. This was not the case under the assumption that the download time does not scale with the size of data, where the minimal spreading allocation was previously found to be universally optimal.
MedSTS: A resource for clinical semantic textual similarity

The adoption of electronic health records (EHRs) has enabled a wide range of applications leveraging EHR data. However, the meaningful use of EHR data largely depends on our ability to efficiently extract and consolidate information embedded in clinical text where natural language processing (NLP) techniques are essential. Semantic textual similarity (STS) that measures the semantic similarity between text snippets plays a significant role in many NLP applications. In the general NLP domain, STS shared tasks have made available a huge collection of text snippet pairs with manual annotations in various domains. In the clinical domain, STS can enable us to detect and eliminate redundant information that may lead to a reduction in cognitive burden and an improvement in the clinical decision-making process. This paper elaborates our efforts to assemble a resource for STS in the medical domain, MedSTS. It consists of a total of 174,629 sentence pairs gathered from a clinical corpus at Mayo Clinic. A subset of MedSTS (MedSTS_ann) containing 1068 sentence pairs was annotated by two medical experts with semantic similarity scores of 0–5 (low to high similarity). We further analyzed the medical concepts in the MedSTS corpus, and tested four STS systems on the MedSTS_ann corpus. In the future, we will organize a shared task by releasing the MedSTS_ann corpus to motivate the community to tackle the real world clinical problems.
Objective Scaling Ensemble Approach for Integer Linear Programming

The objective scaling ensemble approach is a novel two-phase heuristic for integer linear programming problems shown to be effective on a wide variety of integer linear programming problems. The technique identifies and aggregates multiple partial solutions to modify the problem formulation and significantly reduce the search space. An empirical analysis on publicly available benchmark problems demonstrate the efficacy of our approach by outperforming standard solution strategies implemented in modern optimization software.
Pharmacological management of X-linked hypophosphataemia

The most common heritable disorder of renal phosphate wasting, X-linked hypophosphataemia (XLH), was discovered to be caused by inactivating mutations in the phosphate regulating gene with homology to endopeptidases on the X-chromosome (PHEX) gene in 1995. Although the exact molecular mechanisms by which PHEX mutations cause disturbed phosphate handling in XLH remain unknown, focus for novel therapies has more recently been based upon the finding that the bone-produced phosphaturic hormone fibroblast growth factor-23 is elevated in XLH patient plasma. Previous treatment strategies for XLH were based upon phosphate repletion plus active vitamin D analogues, which are difficult to manage, fail to address the primary pathogenesis of the disease, and can have deleterious side effects. A novel therapy for XLH directly targeting fibroblast growth factor-23 via a humanized monoclonal antibody (burosumab-twza/CRYSVITA, henceforth referred to just as burosumab) has emerged as an effective, and recently approved, pharmacological treatment for both children and adults. This review will provide an overview of the clinical manifestations of XLH, the molecular pathophysiology, and summarize its current treatment.
“U.S. worldwide taxation and domestic mergers and acquisitions” a discussion✰

Abstract Harris and O'Brien (2018) investigate whether U.S. tax policy distorts U.S. multinationals’ (MNCs) investment. They find that MNCs facing higher repatriation tax costs engage in fewer domestic acquisitions. The study re-examines the results in two prior studies that found no effect (Hanlon et al. 2015) and a positive effect (Martin et al. 2015) by introducing a new proxy for repatriation tax costs: A binary variable for whether the MNC uses the Double Irish structure. We critique the theory underlying the prediction as well as the proxy. We conclude that caution should be exercised in taking the results at face value.
Kinetic Membrane Model of Outer Hair Cells.

Abstract The effectiveness of outer hair cells (OHCs) in amplifying the motion of the organ of Corti, and thereby contributing to the sensitivity of mammalian hearing, depends on the mechanical power output of these cells. Electromechanical coupling in OHCs, which enables these cells to convert electrical energy into mechanical energy, has been analyzed in detail using isolated cells using primarily static membrane models. The mechanical output of OHCs was previously evaluated by developing a kinetic theory based on a simplified one-dimensional model for OHCs. Here, a kinetic description of OHCs is extended by using the membrane model, which was used for analyzing in vitro experiments. This theory predicts, for systems without inertial load, that elastic load enhances positive shift of voltage dependence of the membrane capacitance because of turgor pressure. The effect of turgor pressure increases with increasing elastic load. For systems with inertia, the magnitude of mechanical power output could be ∼5% higher than the value predicted by the one-dimensional model at the optimal turgor pressure.
Homochiral and racemic MicroED structures of a peptide repeat from the ice-nucleation protein InaZ.

The ice-nucleation protein InaZ from Pseudomonas syringae contains a large number of degenerate repeats that span more than a quarter of its sequence and include the segment GSTSTA. Ab initio structures of this repeat segment, resolved to 1.1 A by microfocus X-ray crystallography and to 0.9 A by the cryo-EM method MicroED, were determined from both racemic and homochiral crystals. The benefits of racemic protein crystals for structure determination by MicroED were evaluated and it was confirmed that the phase restriction introduced by crystal centrosymmetry increases the number of successful trials during the ab initio phasing of the electron diffraction data. Both homochiral and racemic GSTSTA form amyloid-like protofibrils with labile, corrugated antiparallel β-sheets that mate face to back. The racemic GSTSTA protofibril represents a new class of amyloid assembly in which all-left-handed sheets mate with their all-right-handed counterparts. This determination of racemic amyloid assemblies by MicroED reveals complex amyloid architectures and illustrates the racemic advantage in macromolecular crystallography, now with submicrometre-sized crystals.
Olfactory marker protein (OMP) regulates formation and refinement of the olfactory glomerular map

Inputs from olfactory sensory neuron (OSN) axons expressing the same type of odorant receptor (OR) converge in the glomerulus of the main olfactory bulb. A key marker of mature OSNs is olfactory marker protein (OMP), whose deletion has been associated with deficits in OSN signal transduction and odor discrimination. Here, we investigate glomerular odor responses and anatomical architecture in mice in which one or both alleles of OMP are replaced by the fluorescent synaptic activity reporter, synaptopHluorin. Functionally heterogeneous glomeruli, that is, ones with microdomains with distinct odor responses, are rare in OMP+/- mice, but occur frequently in OMP-/- mice. Genetic targeting of single ORs reveals that these microdomains arise from co-innervation of individual glomeruli by OSNs expressing different ORs. This glomerular mistargeting is locally restricted to a few glomerular diameters. Our studies document functional heterogeneity in sensory input within individual glomeruli and uncover its anatomical correlate, revealing an unexpected role for OMP in the formation and refinement of the glomerular map.
Nuclear condensates of the Polycomb protein chromobox 2 (CBX2) assemble through phase separation.

Polycomb group (PcG) proteins repress master regulators of development and differentiation through organization of chromatin structure. Mutation and dysregulation of PcG genes cause developmental defects and cancer. PcG proteins form condensates in the cell nucleus, and these condensates are the physical sites of PcG-targeted gene silencing via formation of facultative heterochromatin. However, the physiochemical principles underlying the formation of PcG condensates remain unknown, and their determination could shed light on how these condensates compact chromatin. Using fluorescence live-cell imaging, we observed that the Polycomb repressive complex 1 (PRC1) protein chromobox 2 (CBX2), a member of the CBX protein family, undergoes phase separation to form condensates and that the CBX2 condensates exhibit liquid-like properties. Using site-directed mutagenesis, we demonstrated that the conserved residues of CBX2 within the intrinsically disordered region (IDR), which is the region for compaction of chromatin in vitro, promote the condensate formation both in vitro and in vivo. We showed that the CBX2 condensates concentrate DNA and nucleosomes. Using genetic engineering, we report that trimethylation of Lys-27 at histone H3 (H3K27me3), a marker of heterochromatin formation produced by PRC2, had minimal effects on the CBX2 condensate formation. We further demonstrated that the CBX2 condensate formation does not require CBX2–PRC1 subunits; however, the condensate formation of CBX2–PRC1 subunits depends on CBX2, suggesting a mechanism underlying the assembly of CBX2–PRC1 condensates. In summary, our results reveal that PcG condensates assemble through liquid–liquid phase separation (LLPS) and suggest that phase-separated condensates can organize PcG-bound chromatin.
A Schur Complement Cheeger Inequality

Cheeger's inequality shows that any undirected graph G with minimum normalized Laplacian eigenvalue lambda_G has a cut with conductance at most O(sqrt{lambda_G}). Qualitatively, Cheeger's inequality says that if the mixing time of a graph is high, there is a cut that certifies this. However, this relationship is not tight, as some graphs (like cycles) do not have cuts with conductance o(sqrt{lambda_G}). To better approximate the mixing time of a graph, we consider a more general object. Specifically, instead of bounding the mixing time with cuts, we bound it with cuts in graphs obtained by Schur complementing out vertices from the graph G. Combinatorially, these Schur complements describe random walks in G restricted to a subset of its vertices. As a result, all Schur complement cuts have conductance at least Omega(lambda_G). We show that unlike with cuts, this inequality is tight up to a constant factor. Specifically, there is a Schur complement cut with conductance at most O(lambda_G).
Reflections on Obtaining Archival Data from the Field

ABSTRACT This article draws on my experiences conducting field research utilizing archival company data and provides a roadmap for such projects. Specifically, I provide an overview of the main sta...
Reducing Underreporting by Aggregating Budgeted Time

Underreporting, or reporting fewer hours than actually worked, is a prevalent behavior among auditors at all levels. Underreporting can result in negative consequences such as tight budgets and red...
Skin, Flesh, and the Affective Wrinkles of Civil Rights Photography

If we needed confi rmation of our ongoing investment in the civil rights movement and the visual media that brought its local confrontations to a national audience, For All the World to See: Visual Culture and the Struggle for Civil Rights, a summer 2010 exhibit at the International Center for Photography, provides a vivid example.1 Drawing its title from Mamie Till’s heroic insistence on an open coffi n for her brutally murdered son and from the determination of African American photographers and newspaper editors to make the shocking image of Emmett Till’s face visible to the public, the exhibit and its accompanying volume powerfully affi rm the role of the visual media in bringing racial violence into public view. Simultaneously and less explicitly, however, the volume also illustrates how much more vexed this role is than the language that affi rms it, for the horrifi c photograph to which the title refers does not—indeed could not—accompany the title on the cover. Instead, the image is discreetly positioned at the volume’s interior.2 Replacing Till’s photograph on the cover is a more uplifting image by the same photographer. Ernest C. Withers’s depiction of the 1968 Memphis sanitation workers’ strike shows a long horizontal line of male demonstrators proudly carrying signs declaring “I AM A MAN.” Celebrating and extending the strikers’ visibility,
Network Trust and Trust Behaviors Among Executives in Supply Chain Interactions

We integrate the results of a social network survey and a forecast information sharing experiment to examine the roles of trust and trustworthiness in impacting high-ranking executives’ decisions i...
Experience, skill composition, and the persistence of unemployment fluctuations

Abstract There is little internal propagation of unemployment in standard search and matching models. When calibrated to the high levels of worker flows observed empirically, unemployment in these models rapidly converges back to its steady state level. We illustrate that even with high worker flows between employment and unemployment, slow movements in the composition of workers across groups with different baseline unemployment rates can generate substantial persistence. To quantitatively assess the importance of these compositional changes, we develop a search model with worker experience and skill loss. When the model is calibrated to match empirical evidence on labor market outcomes that vary with tenure and worker displacement, the model endogenously generates substantial persistence in unemployment.
Product Concentration and Usage: Behavioral Effects in the Glyphosate Market

Abstract People often ignore or misunderstand information that would help them make better decisions. For products that differ by concentration level, a critical choice concerns the correct dosage rate. We study the effects of changing glyphosate product concentration levels on farmers’ glyphosate usage behavior. Glyphosate is the world's most widely used herbicide. After glyphosate went off patent in 2000, product variants with higher concentration levels entered the market. Using detailed farm-level glyphosate use data in U.S. corn and soybeans over the period 1998–2011, we estimate the impact of product concentration levels on glyphosate application rates. We control for prices and other sources of heterogeneity by means of individual and time fixed effects. Our findings indicate that increasing the baseline concentration level by 10% increases the application rate by nearly 6%, despite the fact that labels on more concentrated products provide instructions on how to correctly adjust dosage rates downwards. We attribute part of the concentration effect to rational behavior and part of it to label confusion and/or habit, with smaller farms and late adopters being more likely to resort to habit. A counterfactual simulation predicts that label confusion and/or habit was responsible for a 4.6% increase in total glyphosate use and an additional $59 million per year (4.7%) in glyphosate sellers’ revenues.
Mall Performance: Corporate, Retail, Restaurants and E-commerce Effects

Using continuous data from 2005-2016, the original purpose of this comprehensive research is to examine the relationships between mall-level sales per square foot and corporate performance. Through the use of discrete data, the alternative purpose of this research is to measure the overall performance of malls against the overall performance of individual stores, restaurants and e-commerce companies through the component of sales revenue, store productivity, real estate, and social media presence. Additionally, this researcher also implements a scoring model that can measure the performance of many individual retail institutions, e-commerce business, and restaurants. The results in this study suggest that mall performance is not correlated to corporate financial performance. However, this study generally shows a positive relationship between mall level performance and the overall performance of individual retail stores, restaurants and e-commerce businesses.
Psychological profiles of people who justify eating meat as natural, necessary, normal, or nice

Research suggests that people tend to use one of four rationalizations to justify eating meat despite its empirically established negative consequences for both personal and societal well-being: the beliefs that meat is natural, necessary, normal, or nice. The goal of this study was to better understand what kind of people would tend to use these different rationalizations in terms of their personality traits, values, and motivations for plant-based eating. Results suggest specific psychological profiles for each of the four meat-eating rationalizations. These profiles may be useful for behavior change advocacy and for furthering the basic science of individual differences underlying food preferences and choices. Suggestions for future research that builds upon these initial findings are highlighted.
Tryptophan confers resistance to SDS-associated cell membrane stress in Saccharomyces cerevisiae

Sodium dodecyl sulfate is a detergent that disrupts cell membranes, activates cell wall integrity signaling and restricts cell growth in Saccharomyces cerevisiae. However, the underlying mechanism of how sodium dodecyl sulfate inhibits cell growth is not fully understood. Previously, we have shown that deletion of the MCK1 gene leads to sensitivity to sodium dodecyl sulfate; thus, we implemented a suppressor gene screening revealing that the overexpression of TAT2 tryptophan permease rescues cell growth in sodium dodecyl sulfate-treated Δmck1 cells. Therefore, we questioned the involvement of tryptophan in the response to sodium dodecyl sulfate treatment. In this work, we show that trp1-1 cells have a disadvantage in the response to sodium dodecyl sulfate compared to auxotrophy for adenine, histidine, leucine or uracil when cells are grown on rich media. While also critical in the response to tea tree oil, TRP1 does not avert growth inhibition due to other cell wall/membrane perturbations that activate cell wall integrity signaling such as Calcofluor White, Congo Red or heat stress. This implicates a distinction from the cell wall integrity pathway and suggests specificity to membrane stress as opposed to cell wall stress. We discovered that tyrosine biosynthesis is also essential upon sodium dodecyl sulfate perturbation whereas phenylalanine biosynthesis appears dispensable. Finally, we observe enhanced tryptophan import within minutes upon exposure to sodium dodecyl sulfate indicating that these cells are not starved for tryptophan. In summary, we conclude that internal concentration of tryptophan and tyrosine makes cells more resistant to detergent such as sodium dodecyl sulfate.
Global half-BPS $AdS_2\times S^6$ solutions in Type IIB

We investigate half-BPS Type IIB supergravity solutions with spacetime geometry AdS2 × S6 warped over a Riemann surface Σ. The general local solution was obtained in earlier work in terms of two holomorphic functions $$ {\mathcal{A}}_{\pm } $$ on Σ. In the first part of this paper we seek global solutions corresponding to the near-horizon behavior of (p, q)-string junctions. We identify the type of singularity in $$ {\mathcal{A}}_{\pm } $$ needed at the boundary of Σ to match the solutions locally onto the classic (p, q)-string solution. We construct solutions with multiple (p, q)-strings, but the existence of geodesically complete solutions remains unsettled. In a second part we construct multi-parameter families of non-compact globally regular and geodesically complete solutions with asymptotic regions and an AdS2 throat which caps off smoothly.
Investigating Human Priors for Playing Video Games

What makes humans so good at solving seemingly complex video games? Unlike computers, humans bring in a great deal of prior knowledge about the world, enabling efficient decision making. This paper investigates the role of human priors for solving video games. Given a sample game, we conduct a series of ablation studies to quantify the importance of various priors on human performance. We do this by modifying the video game environment to systematically mask different types of visual information that could be used by humans as priors. We find that removal of some prior knowledge causes a drastic degradation in the speed with which human players solve the game, e.g. from 2 minutes to over 20 minutes. Furthermore, our results indicate that general priors, such as the importance of objects and visual consistency, are critical for efficient game-play. Videos and the game manipulations are available at this https URL