cssi/SciSciGPT-SciSciNet huggingface dataset:
DYNAMIC MECHANICAL BEHAVIOR OF METAL AT THE TIP OF A PLANE STRAIN CRACK

Although the stress intensity around a crack is continuously varying in the elastic singularity, in real metals the pattern breaks down at the tip across discretely sized regions of stress relaxation. Within these regions, conditions of stress, strain, and strain rate can be characterized as uniform and equal to the point value in the singularity at the distance equal to the region size. High strain rate within this zone can be attained by crack movement, or by rapid loading of a stationary crack. Fracture strength is largely governed by the triaxial plastic stability and size of these regions. Determinations of plastic stability from dynamic compression tests correspond nicely to speed variations and temperature-wise trends in fracture strength in two ferritic steels.
Natural history and disease manifestations of hepatitis C infection.

Approximately 4 million persons in the United States are currently infected with the hepatitis C virus (HCV). The Centers for Disease Control and Prevention has estimated that during the 1980s, an average of 230,000 new infections occurred each year (Centers for Disease Control and Prevention 1998). Data from 1996 suggest that the annual incidence has declined to 36,000 new cases (ALTER 1997a). While changes in blood donation practices and screening of blood products with highly sensitive assays undoubtedly resulted in a significant reduction of new cases, the major change in incident cases comes from a reduction of cases in injecting-drug users (Centers for Disease Control and Prevention 1998). To better understand the rationale for treatment of this disease, an understanding of the natural history of HCV infection is imperative.
The use of the matrix method for the study of human motion: theory and applications.

Kinematics has been successfully used to describe body motion without reference to the kinetics (or forces causing the motion). In this article, both the theory and applications of the matrix method are provided to describe complex human motion. After the definition of a Cartesian coordinate frame is introduced, the description of transformations between multiple coordinate frames is given; the decomposition of a transformation matrix into anatomical joint motion parameters (e.g. Euler angles) is then explained. The advantages of the matrix method are illustrated by three examples related to biomechanical studies. The first describes a reaching and grasping task in which matrix transformations are applied to position the hand with respect to an object during grasping. The second example demonstrates the utility of the matrix method in revealing the coupling motion of the wrist between flexion-extension and radial-ulnar deviation. The last example highlights the indispensable use of the matrix method for the study of knee biomechanics, including the description of knee joint kinematics during functional activities and determination of in-situ ligament forces using robotic technology, which has advanced our understanding of the functions of the cruciate ligaments to knee joint kinematics. It is hoped that the theoretical development and biomechanical application examples will help the readers apply the matrix method to research problems related to human motion.
Motivation and reconciliation in Catherine Lu’s conception of global justice

In Justice and Reconciliation in World Politics (2017), Catherine Lu argues that those of us who have been thinking about problems of justice in the aftermath of cataclysmic international events ha...
Bypass of Aflatoxin B(1) Adducts by the Sulfolobus solfataricus DNA Polymerase IV.

Aflatoxin B(1) (AFB(1)) is oxidized to an epoxide in vivo, which forms an N7-dG DNA adduct (AFB(1)-N7-dG). The AFB(1)-N7-dG can rearrange to a formamidopyrimidine (AFB(1)-FAPY) derivative. Both AFB(1)-N7-dG and the β-anomer of the AFB(1)-FAPY adduct yield G→T transversions in Escherichia coli, but the latter is more mutagenic. We show that the Sulfolobus solfataricus P2 DNA polymerase IV (Dpo4) bypasses AFB(1)-N7-dG in an error-free manner but conducts error-prone replication past the AFB(1)-FAPY adduct, including misinsertion of dATP, consistent with the G→T mutations observed in E. coli. Three ternary (Dpo4-DNA-dNTP) structures with AFB(1)-N7-dG adducted template:primers have been solved. These demonstrate insertion of dCTP opposite the AFB(1)-N7-dG adduct, and correct vs incorrect insertion of dATP vs dTTP opposite the 5'-template neighbor dT from a primed AFB(1)-N7-dG:dC pair. The insertion of dTTP reveals hydrogen bonding between the template N3 imino proton and the O(2) oxygen of dTTP, and between the template T O(4) oxygen and the N3 imino proton of dTTP, perhaps explaining why this polymerase does not efficiently catalyze phosphodiester bond formation from this mispair. The AFB(1)-N7-dG maintains the 5'-intercalation of the AFB(1) moiety observed in DNA. The bond between N7-dG and C8 of the AFB(1) moiety remains in plane with the alkylated guanine, creating a 16° inclination of the AFB(1) moiety with respect to the guanine. A binary (Dpo4-DNA) structure with an AFB(1)-FAPY adducted template:primer also maintains 5'-intercalation of the AFB(1) moiety. The β-deoxyribose anomer is observed. Rotation about the FAPY C5-N(5) bond orients the bond between N(5) and C8 of the AFB(1) moiety out of plane in the 5'-direction, with respect to the FAPY base. The formamide group extends in the 3'-direction. This improves stacking of the AFB(1) moiety above the 5'-face of the FAPY base, as compared to the AFB(1)-N7-dG adduct. Ternary structures with AFB(1)-β-FAPY adducted template:primers show correct vs incorrect insertion of dATP vs dTTP opposite the 5'-template neighbor dT from a primed AFB(1)-β-FAPY:dC pair. For dATP, the oxygen atom of the FAPY formamide group participates in a water-mediated hydrogen bond with Arg332. The insertion of dTTP yields a structure similar to that observed for the AFB(1)-N7-dG adduct. The differential accommodation of these AFB(1) adducts within the active site may, in part, modulate lesion bypass.
Evaluation of Digital Breast Tomosynthesis as Replacement of Full-Field Digital Mammography Using an In Silico Imaging Trial.

Importance Expensive and lengthy clinical trials can delay regulatory evaluation of innovative technologies, affecting patient access to high-quality medical products. Simulation is increasingly being used in product development but rarely in regulatory applications. Objectives To conduct a computer-simulated imaging trial evaluating digital breast tomosynthesis (DBT) as a replacement for digital mammography (DM) and to compare the results with a comparative clinical trial. Design, Setting, and Participants The simulated Virtual Imaging Clinical Trial for Regulatory Evaluation (VICTRE) trial was designed to replicate a clinical trial that used human patients and radiologists. Images obtained with in silico versions of DM and DBT systems via fast Monte Carlo x-ray transport were interpreted by a computational reader detecting the presence of lesions. A total of 2986 synthetic image–based virtual patients with breast sizes and radiographic densities representative of a screening population and compressed thicknesses from 3.5 to 6 cm were generated using an analytic approach in which anatomical structures are randomly created within a predefined breast volume and compressed in the craniocaudal orientation. A positive cohort contained a digitally inserted microcalcification cluster or spiculated mass. Main Outcomes and Measures The trial end point was the difference in area under the receiver operating characteristic curve between modalities for lesion detection. The trial was sized for an SE of 0.01 in the change in area under the curve (AUC), half the uncertainty in the comparative clinical trial. Results In this trial, computational readers analyzed 31 055 DM and 27 960 DBT cases from 2986 virtual patients with the following Breast Imaging Reporting and Data System densities: 286 (9.6%) extremely dense, 1200 (40.2%) heterogeneously dense, 1200 (40.2%) scattered fibroglandular densities, and 300 (10.0%) almost entirely fat. The mean (SE) change in AUC was 0.0587 (0.0062) (P Conclusions and Relevance The results of the simulated VICTRE trial are consistent with the performance seen in the comparative trial. While further research is needed to assess the generalizability of these findings, in silico imaging trials represent a viable source of regulatory evidence for imaging devices.
Is There a 'Second Amendment Right to Be Negligent'?

This a response to Andrew J. McClurg's article "The Second Amendment Right to be Negligent," 68 Fla. L. Rev. 1 (2016).
Concentration of gastric-juice proteins in a patient with Menetrier's disease. Report of a case.

In a case of Menetrier's disease with hypoproteinemia the gastric-juice protein concentrations (Lowry) were 8.0 and 8.4 mg./ml., more than 4 times the values found in normal, hyper-, and and achlothydric patients. Starch-block electrophoresis showed globulin peaks as well as an albumin peak resembling the distribution seen in normals. The finding of a high concentration of protein in gastric juice appears to be characteristic of hypoproteinemia associated with Menetrier's disease.
Probabilistic Latent Variable Modeling for Assessing Behavioral Influences on Well-Being

Health research has an increasing focus on promoting well-being and positive mental health, to prevent disease and to more effectively treat disorders. The availability of rich multi-modal datasets and advances in machine learning methods are now enabling data science research to begin to objectively assess well-being. However, most existing studies focus on detecting the current state or predicting the future state of well-being using stand-alone health behaviors. There is a need for methods that can handle a complex combination of health behaviors, as arise in real-world data. In this paper, we present a framework to 1) map multi-modal messy data collected in the "wild" to meaningful feature representations of health behavior, and 2) uncover latent patterns comprising multiple health behaviors that best predict well-being. We show how to use supervised latent Dirichlet allocation (sLDA) to model the observed behaviors, and we apply variational inference to uncover the latent patterns. Implementing and evaluating the model on 5,397 days of data from a group of 244 college students, we find that these latent patterns are indeed predictive of self-reported stress, one of the largest components affecting well-being. We investigate the modifiable behaviors present in these patterns and uncover some ways in which the factors work together to influence well-being. This work contributes a new method using objective data analysis to help individuals monitor their well-being using real-world measurements. Insights from this study advance scientific knowledge on how combinations of daily modifiable human behaviors relate to human well-being.
A Countrywide Traffic Accident Dataset.

Reducing traffic accidents is an important public safety challenge. However, the majority of studies on traffic accident analysis and prediction have used small-scale datasets with limited coverage, which limits their impact and applicability; and existing large-scale datasets are either private, old, or do not include important contextual information such as environmental stimuli (weather, points-of-interest, etc.). In order to help the research community address these shortcomings we have - through a comprehensive process of data collection, integration, and augmentation - created a large-scale publicly available database of accident information named US-Accidents. US-Accidents currently contains data about $2.25$ million instances of traffic accidents that took place within the contiguous United States, and over the last three years. Each accident record consists of a variety of intrinsic and contextual attributes such as location, time, natural language description, weather, period-of-day, and points-of-interest. We present this dataset in this paper, along with a wide range of insights gleaned from this dataset with respect to the spatiotemporal characteristics of accidents. The dataset is publicly available at this https URL.
Abstract 4804: Pre-clinical development of ISOX; A novel therapy for pancreatic cancer identified utilizing system biology approach(s)

Background: Pancreatic Cancer (PC) remains one of the most common causes of cancer-related deaths. The low survival percentage in patients can be attributed primarily to ineffective therapeutic targeting and lack of new potent therapies. Over the years the conventional one target at a time approach for drug development has failed to achieve promising survival and better approaches are needed. Large-scale genomic database connectivity map (CMAP), a collection of perturbagen profiles from >2800 drugs is a potential tool to identify effective therapies for PC by identifying novel drugs that essentially reverse the global gene signature originating due to malignant PC. Considering this information, we hypothesize that “a big data approach using CMAP will lead to the identification of novel drugs for highly lethal PC.” Methods and Results: To generate a meta-gene signature for PC, GEO data for PC cases (N=106) and normal samples (N=68) was extracted, normalized & assessed for differential gene expression using R Bioconductor. Drugs specific to this gene signature across various datasets were identified using CMAP and the top hit ISOX chosen for further assessment. Considering the high mutational heterogeneity of PC, a five-cell line panel with diverse mutations was chosen for the validation studies. Cell line-based assessment for changes to proliferation using MTT and motility using matrigel assisted invasion showed the high potency of ISOX with an IC50 of 2.4nM-1.4µM & up to 90% reduction in invasion supporting initial hypothesis. It was further supported by the 48% induction of apoptosis. Molecular mechanism of ISOX was further assessed using an RNA-seq on ISOX treated PC cell lines followed by ingenuity pathway analyses. Gene ontology pathway analysis indicated SHH-WNT, PI3K-mTOR-AKT, and EGFR signaling as key pathways affected by ISOX. Further, 60% loss of viability was observed in pancreatic tumor organoids at 500nM of ISOX. Furthermore, about 10 fold statistically significant (p-value = 0.014) reduction in tumor weight at 50 mg/kg of ISOX both alone and in combination with 50 mg/kg 5FU (p-value=0.02) was observed in orthotopic mice models. Conclusion: Our data suggest that ISOX is a potential new therapeutic for PC. In future, we aim to evaluate the potency of newly identified drug in both transgenic mouse models of PC as well as clinical phase I studies. Citation Format: Pranita Atri, Parthasarathy Seshacharyulu, Satyanaryana Rachagani, Palanisamy Nallasamy, Sanchita Rauth, Garima Kaushik, Koelina Ganguly, Dario Ghersi, Moorthy P. Ponnusamy, Sukhwinder Kaur, Surinder K. Batra. Pre-clinical development of ISOX; A novel therapy for pancreatic cancer identified utilizing system biology approach(s) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 4804.
Parents Recall of, and Reactions to, School-Based BMI Reports.

Background: Current evidence demonstrates that, while a widely used tool for childhood obesity prevention, school-based BMI reports do not effectively reduce pediatric obesity. The purpose of this study was to examine the presumed mechanisms by which BMI reporting might impact child weight by assessing parents': (1) recall of BMI reports, (2) accuracy in recalling child overweight status, and (3) reactions to BMI reports. Methods: Mailed surveys were completed by 2205 racially/ethnically diverse parents of third- to seventh-grade students participating in the Fit Study who had either been exposed to 1 year of child BMI reporting (one report) or 2 years (two reports). Results: After 1 year of BMI reporting, parents of children with overweight were less likely [odds ratio (OR) = 0.7, 95% confidence interval (CI): 0.5-0.9] to recall receiving a BMI report and less likely (OR = 0.2, 95% CI: 0.1-0.3) to accurately recall their child's weight status from the BMI report, compared with parents of children with healthy weight. Differences in accuracy of child weight status recall persisted after 2 years of BMI reporting exposure. Only 22% of parents of children at risk for overweight and with overweight reported being surprised by the results. Conclusions: Parents' recall of receiving a school-based BMI report is low, as is the accuracy of recall of child's overweight status. Additionally, parents' surprise at, and concern for, BMI results is limited. Current BMI reports may be ineffective at reducing pediatric obesity due to their lack of salience and ability to compel meaningful behavior change among parents.
Can vegetation optical depth reflect changes in leaf water potential during soil moisture dry-down events?

Abstract Plant water use strategy is one of the key factors to predict drought impact on vegetation and land-atmosphere fluxes. Vegetation optical depth (VOD) based on microwave radiative transfer inversion has recently been used to assess plant water use strategy. However, VOD is sensitive to both total aboveground biomass (AGB) and leaf water content, with only the latter being a proxy of leaf water potential whose diurnal variation can be used to characterize vegetation iso/anisohydricity. In this study, by using a network of soil water measurements (used as a proxy for predawn leaf water potential), satellite retrieved normalized difference vegetation index (NDVI, as a proxy for AGB), and two satellite VOD products from the Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E) sensor, we compare three linear models and one machine learning model to investigate to what extent can VOD be used to represent leaf water potential changes during soil moisture dry-down periods. Linear models with both NDVI and leaf water potential, on average, can explain 33% and 51% of VOD variations of each product respectively. Models using only NDVI explain 27% and 46% of the VOD variance, compared to less than 10% by models using leaf water potential only. With the NDVI and leaf water potential (full) model, leaf water potential contributes around 17% of the VOD variance, which is smaller than NDVI (33%). The machine learning model has overall better performance than the linear models, and also highlight the dominant contribution of AGB to VOD signals. After the AGB contribution to VOD is eliminated by normalizing daytime VOD with nighttime VOD, the residuals carry the information of diurnal variations of leaf water potential and calculations from both VOD datasets are consistent with each other (r = 0.42 ± 0.17, P VOD daytime VOD nighttime to soil water potential can also be used as a new metric for ecosystem iso/anisohydricity. Our study demonstrates that a large proportion of variations in VOD are caused by AGB for temperate ecosystems, and higher accuracy VOD products with additional root-zone soil water potential are needed for ecosystem iso/anisohydricity estimations.
Implementation of a medication education training program for student pharmacists employed within an academic medical center.

PURPOSE To describe the implementation of a student pharmacist medication education training program (the REWARDS Method), to determine if training was effective in preparing employed student pharmacists to provide medication education, and to assess medication education completion rates. SUMMARY Hospital readmissions are often attributable to poor transitions of care (TOC), and medication education prior to discharge may improve TOC. To expand upon existing medication education efforts, the Johns Hopkins Hospital Adult Inpatient Pharmacy (AIP) designed and implemented the REWARDS Method, a training program to prepare employed second- and third-year student pharmacists to provide medication education. The REWARDS Method includes 6 distinct steps, which incorporate student self-directed and pharmacist-facilitated learning. Students were trained to provide patient education targeting 4 classes of high-risk medications (anticoagulants, inhalers, insulin, and naloxone) on multiple inpatient units served by the AIP. A total of 43 hours of pharmacist time was needed to complete training for the 10 employed student pharmacists. A survey was used to assess preparedness for completing medication education. Survey responses indicated that participants were sufficiently to exceedingly prepared to perform medication education. The division's completion rate for patients requiring education was 79% in 2017, compared to 86% in 2018 (p = 0.006). CONCLUSION The REWARDS Method is an effective training program that successfully incorporated employed student pharmacists into medication education efforts. Our study demonstrated high rates of students successfully completing training and an increase in the rate of patient education completion.
Voices of Ghanaian Head-Teachers Working in Low-Fee Private Schools:

Head-teachers play a crucial role in school improvement, teacher morale and retention, as well as student learning. In this study, the authors examine the perspectives and the roles of eight head-t...
A day at the races in black and white: how an 1898 horse race led to a whipping, a lawsuit, and a 1901 arrest

After losing an 1898 horse race in the Bronx, New York, African-American jockey Alonzo ‘Lonnie’ Clayton, who had won the Kentucky Derby in 1892 at the age of fifteen, heard an insult from the crowd...
A unifying derivation of switching DC-DC converter topologies

A canonical switching cell is proposed from which the three basic DC-DC converter topologies can be derived. In addition, it is possible to perform topological transformations which yield apparently new topologies. Upon examination, however, these topologies may prove to be identical to existing basic topologies. An optimum topology converter recently described by Cuk, et al.,is shown to be a transformation of a basic topology.
Overview of the MEDIQA 2021 Shared Task on Summarization in the Medical Domain.

The MEDIQA 2021 shared tasks at the BioNLP 2021 workshop addressed three tasks on summarization for medical text: (i) a question summarization task aimed at exploring new approaches to understanding complex real-world consumer health queries, (ii) a multi-answer summarization task that targeted aggregation of multiple relevant answers to a biomedical question into one concise and relevant answer, and (iii) a radiology report summarization task addressing the development of clinically relevant impressions from radiology report findings. Thirty-five teams participated in these shared tasks with sixteen working notes submitted (fifteen accepted) describing a wide variety of models developed and tested on the shared and external datasets. In this paper, we describe the tasks, the datasets, the models and techniques developed by various teams, the results of the evaluation, and a study of correlations among various summarization evaluation measures. We hope that these shared tasks will bring new research and insights in biomedical text summarization and evaluation.
Distribution Steering for Discrete-Time Linear Systems with General Disturbances using Characteristic Functions

We propose to solve a constrained distribution steering problem, i.e., steering a stochastic linear system from an initial distribution to some final, desired distribution subject to chance constraints. We do so by characterizing the cumulative distribution function in the chance constraints and by using the absolute distance between two probability density functions using the corresponding characteristic functions. We consider discrete-time, time-varying linear systems with affine feedback. We demonstrate the proposed approach on a 2D double-integrator perturbed by various disturbances and initial conditions.
Return-to-Play Decision Making Following Anterior Cruciate Ligament Reconstruction

Return-to-play decision making after anterior cruciate ligament (ACL) reconstruction and rehabilitation is an essential component of a successful outcome. When deciding upon an athlete’s return-to-play readiness, there is often more to the total picture than meets the eye. Return-to-play decision making requires consideration of biological, behavioral, and biomechanical readiness because each of these factors can contribute to the success or failure of ACL reconstruction and rehabilitation. The advanced rehabilitation and sport-specific training the athlete has participated in should have firmly embedded in them the confidence and self-efficacy needed to return to their sport. Returning to the role of an athlete, not a patient, is crucial. The athlete’s ability to translate an “athletic ready position” posture to repetitive dynamic sports movements consistently and without cueing is mandatory. While multidirectional hop distances and/or quick times are important, quality movements with appropriate take-off and landing postures are of greater importance. Return-to-play decision making should be based on progressive goals that need to be achieved prior to the athlete being released to unrestricted competition. When the decision is made to allow the athlete to return to unrestricted activities, they should be required to successfully participate in 1–2 weeks of organized practice without restriction before being allowed to participate in the speed, intensity, and random and occasional violence of competitive play.
Aspects of the effects of the defuzzification stage on the stability and the performance of fuzzy model-based control systems

One of the important elements in a fuzzy model-based control system is the defuzzification process. The latter converts the fuzzy control input, which is computed using fuzzy mathematics, into a crisp control input that is fed back to the actual plant. Usually, there is a mismatch between an uncertain system and the fuzzy model that is used to represent it. This may result in difficulties to guarantee certain fundamental properties, such as stability and performance, that the plant must have. This paper discusses the effects of the defuzzification process on the stability and the performance robustness of fuzzy model-based control systems. It outlines the origins of such effects and suggests new directions for further research into this problem.
ELECTROGONIOMETRIC STUDY OF WALKING ON HIGH HEELS

Abstract The effect of high heels on the ankle and knee joint angles during walking and standing were measured electrogoniometrically in 15 girls. Walking was done on the horizontal and on 5° and −5° inclined planes. A few records were obtained during level running. As was expected, the ankle angle increased in extension during walking and standing. Contrary to previous findings, high heels had no definite effect upon the knee angles when measurements were recorded without the subjects' knowledge, although there was a tendency to an extension. The same girls showed slight flexion or extension. During walking only the dip during the stance phase was decreased; however, during running there was reduction in the knee angle at all points, thus reducing the amplitude of movement.
Glucocorticoid Therapy in Asthma

Glucocorticoids (GCs) are the most effective therapy we have for the treatment of asthma. Systemically administered GCs are first-line agents for acute severe asthma, whereas topical (i.e., inhaled) GCs are first line agents for the long-term management of all patients with persistent asthma. In the treatment of acute asthma exacerbations, early institution of systemic GCs can prevent further worsening of symptoms, reduce emergency room visits, and hospitalizations. Inhaled GCs are the recommended controller class of medications for all patients with persistent asthma, including children. They are the most effective class of agents in reducing symptoms, improving lung function, and decreasing bronchial hyperresponsiveness, in addition to reducing asthma morbidity and mortality. Long-term administration of oral GCs is associated with multiple adverse effects including adrenal insufficiency, weight gain, increased skin fragility, myopathy, osteoporosis, cataracts, and mood changes. Thus, in patients with chronic severe asthma who require regular systemic GC therapy, all other treatments should be maximized, and the lowest dose sufficient for control should be established through regular monitoring visits. As with oral GC therapy, high-dose inhaled GC therapy can result in systemic adverse effects. Several studies have shown that low-dose inhaled GC therapy, even when administered long term, is unlikely to result in any clinically meaningful adverse effects. By using the lowest possible effective GC dose, as well as maximizing other therapeutic modalities, adverse systemic effects from GCs can be greatly minimized.
Outcomes of primary refractory multiple myeloma and the impact of novel therapies

Over the past decade, use of novel agents, including immunomodulatory drugs (IMiDs) and proteasome inhibitors (PIs) has resulted in high response rates and improvement in overall survival (OS) for patients with multiple myeloma (MM); however, the prognostic significance of refractoriness to these agents when used as initial therapy has not been extensively studied. We reviewed the outcomes of 816 consecutive patients treated for MM at our institution since 2006 to evaluate the survival difference between those achieving at least a partial response (PR) to induction therapy and those who were primary refractory. The median OS from start of therapy was significantly shorter for the primary refractory group at 3.6 vs. 7.6 years for the responding patients (P < 0.001). The difference in median OS persisted when only patients receiving a novel agent as part of induction therapy were considered (3.6 vs. 7.9 years, P < 0.001) and in a 4-month landmark analysis (4.2 vs. 7.6 years, P < 0.001). The median OS for patients achieving a complete response (CR), very good partial response (VGPR), PR, or less than PR was not reached (NR), 6.1, 6.4, and 4.2 years from the 4-month landmark, respectively (P < 0.001). The comparatively poor outcomes of patients refractory to induction therapy in the current era of novel agents suggests that this high-risk subpopulation must be further studied for predictors of resistance and, when identified, should be targeted for clinical trials.
An innovative method for teaching anatomy in the predoctoral dental curriculum.

New methods of teaching gross anatomy are being evaluated as medical and dental schools attempt to find time in their curricula for new content without sacrificing essential anatomical knowledge. This article reports on an innovative method of teaching anatomy at New York University College of Dentistry. In 2005, the instructors completely replaced the dissection of wet cadavers with the study of dissected and sliced plastinated specimens. The shift from cadaver dissection to the study of plastinated specimens was accompanied by other changes in the anatomy course: students study in small, consistent groups; frequent, low-impact quizzes are administered; and the role of the computer is increased as a tool for self-directed study. To assess the course, this study considered students’ long-term understanding of anatomy as demonstrated by performance on the National Board Dental Examination (NBDE) Part I, hours of instruction, and student evaluation. The results show that, since 2005, students have had higher NBDE Part I scores, their overall performance has been above the national mean while hours of instruction were 60 percent of the national mean, and student satisfaction increased.
A Model of the Interaction between N-type and C-type Inactivation in Kv1.4 Channels

Kv1.4 channels are Shaker-related voltage-gated potassium channels with two distinct inactivation mechanisms. Fast N-type inactivation operates by a ball-and-chain mechanism. Slower C-type inactivation is not so well defined, but involves intracellular and extracellular conformational changes of the channel. We studied the interaction between inactivation mechanisms using two-electrode voltage-clamp of Kv1.4 and Kv1.4ΔN (amino acids 2–146 deleted to remove N-type inactivation) heterologously expressed in Xenopus oocytes. We manipulated C-type inactivation by introducing a lysine-tyrosine point mutation (K532Y, equivalent to Shaker T449Y) that diminishes C-type inactivation. We used experimental data to develop a comprehensive computer model of Kv1.4 channels to determine the interaction between activation and N- and C-type inactivation mechanisms needed to replicate the experimental data. C-type inactivation began at lower voltage preactivated states, whereas N-type inactivation was coupled directly to the open state. A model with distinct N- and C-type inactivated states was not able to reproduce experimental data, and direct transitions between N- and C-type inactivated states were required, i.e., there is coupling between N- and C-type inactivated states. C-type inactivation is the rate-limiting step determining recovery from inactivation, so understanding C-type inactivation, and how it is coupled to N-type inactivation, is critical in understanding how channels act to repetitive stimulation.
A protein interaction map of the LSU processome.

Maturation of the large ribosomal subunit (LSU) in eukaryotes is a complex and highly coordinated process that requires the concerted action of a large, dynamic, ribonucleoprotein complex, the LSU processome. While we know that >80 ribosome biogenesis factors are required throughout the course of LSU assembly, little is known about how these factors interact with each other within the LSU processome. To interrogate its organization and architecture, we took a systems biology approach and performed a semi-high-throughput, array-based, directed yeast two-hybrid assay. Assaying 4800 protein–protein interactions, we identified 232 high-confidence, binary-interacting protein pairs, representing a fourfold increase from current knowledge. The resulting LSU processome interactome map has enhanced our understanding of the organization and function of the biogenesis factors within the LSU processome, revealing both novel and previously identified subcomplexes and hub proteins, including Nop4.
Non-Born-Oppenheimer approximation for very weakly bound states of molecular anions.

The influence of nuclear rotation on weak electron binding in the long range field of a linear polar molecule is treated in a way that leads ultimately, with suitable approximation, to the familiar equations for close coupling of electron-nuclear-rotational motions. Subsequently, a conventional pseudopotential approximation is invoked to examine the rotational spectra of HCN and DCN anions. It is shown that the number of rotationally excited anion states cannot be reliably predicted by assuming that zero binding occurs when the rotational energy equals the electron affinity obtained in the Born–Oppenheimer approximation. A method is suggested for combining accurate molecular orbital and parameterized pseudopotential methods to provide accurate electron affinities for very weakly bound anionic states.
Effects of achievement motivation, social identity, and peer group norms on academic conformity

This study investigated whether academic achievement motivation and social identity explain variation in children’s conformity to positive academic behaviors (n = 455 children in grades three through five). Structural equation modeling suggested that academic value and peer group academic norms were positively related to academic conformity. Specifically, children who enjoyed academic pursuits and who belonged to academically-inclined peer groups were more likely to conform to novel academic behaviors than children who did not. Additionally, academic value moderated the relationship between peer group norms and conformity, implying that, for students who do not value academics, belonging to a peer group with high academic norms will lead to more conformity to academic behaviors than belonging to a peer group with low academic norms. In contrast, analyses suggested that some aspects of achievement motivation and social identity are unrelated to academic conformity. Implications for encouraging positive academic behaviors in middle childhood are discussed.
Whare-map: heterogeneity in "homogeneous" warehouse-scale computers

Modern "warehouse scale computers" (WSCs) continue to be embraced as homogeneous computing platforms. However, due to frequent machine replacements and upgrades, modern WSCs are in fact composed of diverse commodity microarchitectures and machine configurations. Yet, current WSCs are architected with the assumption of homogeneity, leaving a potentially significant performance opportunity unexplored.In this paper, we expose and quantify the performance impact of the "homogeneity assumption" for modern production WSCs using industry-strength large-scale web-service workloads. In addition, we argue for, and evaluate the benefits of, a heterogeneity-aware WSC using commercial web-service production workloads including Google's web-search. We also identify key factors impacting the available performance opportunity when exploiting heterogeneity and introduce a new metric, opportunity factor, to quantify an application's sensitivity to the heterogeneity in a given WSC. To exploit heterogeneity in "homogeneous" WSCs, we propose "Whare-Map," the WSC Heterogeneity AwareMapper that leverages already in-place continuous profiling subsystems found in production environments. When employing "Whare-Map", we observe a cluster-wide performance improvement of 15% on average over heterogeneity--oblivious job placement and up to an 80% improvement for web-service applications that are particularly sensitive to heterogeneity.
Molecular Design Strategies for Optimizing the Nonlinear Optical Properties of Chiral Crystals

A simple theoretical framework is presented to identify the key molecular properties and macromolecular arrangements leading to high second-order nonlinear optical (NLO) activity of chiral crystals. In chiral materials, maximum second harmonic generation (SHG) efficiency is predicted for an antiparallel molecular arrangement of Λ-like chromophores. This prediction is in stark contrast to the majority of previous crystal engineering efforts for second-order NLO materials, which have been focused almost exclusively on the construction of crystals exhibiting high degrees of polar order. Methods for possible rational electrostatic control of crystal structure by appropriate molecular design are considered.
The effects of non-homology in RAPD bands on similarity and multivariate statistical ordination in Brassica and Helianthus.

In order to estimate the impact of mis-coding non-homologous, co-migrating DNA bands as homologous, two sets of data were utilized. Analyses were conducted using three Helianthus species in which each co-migrating band had previously been confirmed. Comparisons of the similarities between these three Helianthus species using the original 177 RAPD bands and the corrected, homology verified, 197 RAPD band data set revealed that the triangular relationship among these three species was almost identical in both data sets. The non-homology errors in the Helianthanus data sets were found to be random. These random errors merely reduced the absolute similarities, but not the relative similarities nor the relationships among the taxa, in principal-coordinate-analysis ordination. Analyses of RAPDs for the classical Brassica U triangle were made by inserting random non-homologies for 5, 10, 15 and 20% of the original 220 RAPD bands. These analyses revealed a progressive decrease in similarities and less loading on the first two axes in principal coordinate analysis (PCO). However, the basic U triangle of relationships among these six Brassica species was maintained. It appears that if errors in homology of co-migrating DNA bands are random, this will have little effect on the relative similarities and on PCO ordination. This helps explain the successful use of RAPDs at the specific level.
Increased antibiotic resistance of E. coli exposed to static magnetic fields

The present study demonstrates that exposure of bacteria to medium strength static magnetic fields can significantly alter antibiotic sensitivity. Cultures of Escherichia coli were exposed to fields produced by permanent magnets. Samples of bacterial cultures continuously growing in the presence and in the absence of static magnetic fields were left untreated or were treated with an antibiotic and measured at 45 min intervals for cell growth and survival. It was found that exposure of E. coli to the static fields significantly increased antibiotic resistance. Bioelectromagnetics 22:129–137, 2001. Published 2001 Wiley-Liss, Inc.
On the geographic variability of the monoterpenes from the cortical blister oleoresin of Abies lasiocarpa

Abstract Over 400 trees of Abies lasiocarpa from fifty localities covering its entire range have been examined for composition of the cortical monoterpenes. The existence of two chemical variants was demonstrated. One of these was distributed predominantly in the areas closer to the Pacific coast, and contained turpentine with large amounts of β-pinene and β-phellandrene and small amounts of limonene; the other, concentrated mainly in the U.S. Rocky Mountains, produced turpentine with large amounts of limonene and small amounts of the other two compounds. The frequency distribution diagrams for the monoterpenes were either polymodal or skewed, thus suggesting control by few genes only. Strong positive correlation between β-pinene and β-phellandrene, and strong negative correlations between the sum of these compounds and limonene, was obtained.
Laser induced sulfur particulate formation

Abstract Multiphoton absorption processes and laser induced dielectric breakdown studies of the reaction of SF 6 and SF 6 /H 2 mixtures have been carried out at a variety of pressures and laser fluences. Formation of SF 4 , SOF 4 and SO 2 F 2 can be shown to proceed via conventional, thermodynamically controlled reaction dynamics. Formation of sulfur particles can be shown to proceed via sulfur atom homogeneous nucleation from the gas phase.
MSE-based source and relay precoder design for cognitive radio multiuser two-way relay systems

We consider joint design of source and relay pre-coders in a cognitive multiuser two-way relay system, which supports simultaneous transmission of multiple secondary users concurrently with primary network with the help of a relay node. The design criterion is to minimize the sum mean square error (MSE) of all users under a transmit power constraint for each transmitting node while causing no interference to the primary network. To solve this non-convex optimization problem, an iterative algorithm is proposed to iteratively solve for the precoding matrices at secondary source nodes and relay node, and then the decoding matrices at secondary nodes. To reduce the computational complexity, a matrix distance based non-iterative algorithm is also proposed. Simulation results show the effectiveness of our proposed algorithms.
Assessing Teratogenic Changes in a Zebrafish Model of Fetal Alcohol Exposure

Fetal alcohol syndrome (FAS) is a severe manifestation of embryonic exposure to ethanol. It presents with characteristic defects to the face and organs, including mental retardation due to disordered and damaged brain development. Fetal alcohol spectrum disorder (FASD) is a term used to cover a continuum of birth defects that occur due to maternal alcohol consumption, and occurs in approximately 4% of children born in the United States. With 50% of child-bearing age women reporting consumption of alcohol, and half of all pregnancies being unplanned, unintentional exposure is a continuing issue2. In order to best understand the damage produced by ethanol, plus produce a model with which to test potential interventions, we developed a model of developmental ethanol exposure using the zebrafish embryo. Zebrafish are ideal for this kind of teratogen study3-8. Each pair lays hundreds of eggs, which can then be collected without harming the adult fish. The zebrafish embryo is transparent and can be readily imaged with any number of stains. Analysis of these embryos after exposure to ethanol at different doses and times of duration and application shows that the gross developmental defects produced by ethanol are consistent with the human birth defect. Described here are the basic techniques used to study and manipulate the zebrafish FAS model.
Anti-proliferative but not anti-angiogenic tyrosine kinase inhibitors enrich for cancer stem cells in soft tissue sarcoma

Increasing studies implicate cancer stem cells (CSCs) as the source of resistance and relapse following conventional cytotoxic therapies. Few studies have examined the response of CSCs to targeted therapies, such as tyrosine kinase inhibitors (TKIs). We hypothesized that TKIs would have differential effects on CSC populations depending on their mechanism of action (anti-proliferative vs. anti-angiogenic). We exposed human sarcoma cell lines to sorafenib, regorafenib, and pazopanib and assessed cell viability and expression of CSC markers (ALDH, CD24, CD44, and CD133). We evaluated survival and CSC phenotype in mice harboring sarcoma metastases after TKI therapy. We exposed dissociated primary sarcoma tumors to sorafenib, regorafenib, and pazopanib, and we used tissue microarray (TMA) and primary sarcoma samples to evaluate the frequency and intensity of CSC markers after neoadjuvant therapy with sorafenib and pazopanib. Parametric and non-parametric statistical analyses were performed as appropriate. After functionally validating the CSC phenotype of ALDHbright sarcoma cells, we observed that sorafenib and regorafenib were cytotoxic to sarcoma cell lines (P 0.05). Anti-proliferative TKIs appear to enrich for sarcoma CSCs while anti-angiogenic TKIs do not. The rational selection of targeted therapies for sarcoma patients may benefit from an awareness of the differential impact of TKIs on CSC populations.
Hospital nurse wages and staffing, 1977 to 2002: cycles of shortage and surplus.

Objective The author reviews the causes of nursing shortages and surpluses and examines data from California hospitals to demonstrate how these cycles are expressed in the demand for and wages of nurses. Background Nursing shortages have been reported cyclically for more than 50 years in the United States. There has been little data analysis demonstrating the relationship between the current shortage and changes in wages and nurse staffing. Methods Analysis of longitudinal hospital and patient data from the California Office of Statewide Health Planning and Development. Summary statistics of patient utilization, nurse staffing, and nurse wages were computed. Results The data demonstrate that cyclical shortages are accompanied by higher wages and employment. This has been true in recent years. However, in medical-surgical units, hours per patient day declined between 2001 and 2002, perhaps reflecting the inability of hospitals to find more nurses to meet staffing goals. Conclusions Nurse staffing per patient day and per discharge have remained stable, despite concerns about low staffing levels. Improved measures of patient care needs and studies of the precise staffing requirements for different types of patients and configurations of staff are required to make recommendations about staffing and policy.