cssi/SciSciGPT-SciSciNet huggingface dataset:
Conversion Disorder in an Appalachian Community.

OBJECTIVES Conversion disorder (CD) is believed to be the manifestation of physical and/or neurological symptoms for primary gain without an identifiable organic cause. Although it is believed to be more common in rural areas, the literature examining this claim is sparse. To our knowledge, no study has been published evaluating the prevalence of CD in a rural Appalachian population. The aim of this study was to characterize and determine the prevalence of CD per Diagnostic and Statistical Manual of Mental Disorders, 5th Edition, criteria in a rural Appalachian psychiatric consultation service and to compare this population with control patients from the same service. METHODS We performed a retrospective chart review of all patients diagnosed as having CD per Diagnostic and Statistical Manual of Mental Disorders, 5th Edition, criteria on a psychiatric consultation service at a rural Appalachian academic medical center during a 13-month time period. For each case, two consecutive control patients were selected from the same service and time span. RESULTS There were 21 cases and 42 controls in this study, with a CD prevalence rate of 6.0% (N = 21/351). Sociodemographic, comorbidity, and recent symptomatology data were obtained. Compared with controls, cases were significantly younger and were more likely to have a history of sexual abuse, seizure disorder, antiepileptic use, neurologic referral, electroencephalogram, magnetic resonance imaging of the brain, and history of CD. We found it interesting that fewer cases reported alcohol and drug use. CONCLUSIONS The observed prevalence of 6.0% does not support the historical theory that CD is more prevalent in rural or lower socioeconomic populations. Our data add to the characterization of the Appalachian CD population.
How the glycosyltransferase OGT catalyzes amide bond cleavage

The essential human enzyme O-linked β-N-acetylglucosamine transferase (OGT), known for modulating the functions of nuclear and cytoplasmic proteins through serine and threonine glycosylation, was unexpectedly implicated in the proteolytic maturation of the cell cycle regulator host cell factor-1 (HCF-1). Here we show that HCF-1 cleavage occurs via glycosylation of a glutamate side chain followed by on-enzyme formation of an internal pyroglutamate, which undergoes spontaneous backbone hydrolysis.
Super-resolution mid-infrared imaging using photothermal microscopy

Mid-infrared photothermal heterodyne imaging (MIR-PHI) overcomes the diffraction limit of traditional MIR imaging and uses visible photodiodes as detectors. Our MIR-PHI experiment achieved high sensitivity (S/N >100), sub-diffraction limit spatial resolution and high acquisition speed. Sensitive, affordable and widely applicable, this technique is a promising imaging tool for biological systems.
What can we learn from the past?-A pediatrician's view.

When the tuberculosis epidemic reached its peak in central Europe in the 1900s (not until the 2000s in sub-Saharan Africa), both contained and disseminated tuberculosis was mainly regarded as a childhood disease. From 1920, before the use of the Bacillus Calmette–Guerin (BCG) vaccine and the possibility of drug treatment, there was a drastic decline in the rate of tuberculosis incidence in the Western world. In 1970, the case rate had declined in Sweden from 500/100,000 individuals to 1/100,000 individuals. We recently studied childhood tuberculosis in the Stockholm area from 1971 to 2015. During this period the case rate had increased from 1/100,000 individuals to 8/100,000 individuals. A major contributing factor has been increased immigration and, more recently, from high incidence countries. While there are very few cases in Swedish children whose parents are also born in Sweden, the case rate is still high in foreign-born children, for example, 450/100,000 foreign-born Somali children. At the beginning of the past 45 years, sentinel (infected in Sweden with no known source person) cases were a reality but they are rarely seen today. This may be attributed to better organization, contact tracing, screening, and early diagnosis in the adult population.
Near-optimal tape transport control with feedback of velocity and tension

Abstract: With the increasing recording areal density and volumetric density targeted by magnetic tapes, high-performance tape transport is of fundamental importance to achieve the required reliability in tape storage systems. In this paper, the time-varying characteristics of tape transport are taken into account to design a velocity and tension feedback control system using p-type controllers that depend on the longitudinal tape position. Analytical expressions are given for the controller gains, for which all transfer functions become essentially independent of longitudinal position. Experimental results are presented for a tape system where feedback of tension is provided by a tension sensing roller.
The situational-cognitive model of adolescent bystander behavior: modeling bystander decision-making in the context of bullying and teen dating violence

Objective Despite the proliferation of bystander approaches to prevent aggression among youth, theoretical models of violence-related bystander decision making are underdeveloped, particularly among adolescents. The purpose of this research was to examine the utility of 2 theories, the Situational Model of Bystander behavior (SMB) and the Theory of Planned Behavior (TPB), for identifying mechanisms underlying adolescent bystander behavior in the context of bullying and teen dating violence (TDV). Method Data were collected via face to face (local) and online (national) focus groups with 113 U.S. adolescents aged 14-18 and were subsequently analyzed using deductive and inductive coding methods. Results Youth endorsed beliefs consistent with both the SMB and TPB and with additional constructs not captured by either theory. Adolescents reported a higher proportion of barriers relative to facilitators to taking action, with perceptions of peer norms and social consequences foremost among their concerns. Many influences on bystander behavior were similar across TDV and bullying. Implications Findings are organized into the proposed Situational-Cognitive Model of Adolescent Bystander Behavior, which synthesizes the SMB and TPB, and supports the tailoring of bystander interventions. For teens, intervening is a decision about whether and how to navigate potential social consequences of taking action that unfold over time; intervention approaches must assess and acknowledge these concerns.
Utilizing Big Data and Twitter to Discover Emergent Online Communities of Cannabis Users

Large shifts in medical, recreational, and illicit cannabis consumption in the United States have implications for personalizing treatment and prevention programs to a wide variety of populations. As such, considerable research has investigated clinical presentations of cannabis users in clinical and population-based samples. Studies leveraging big data, social media, and social network analysis have emerged as a promising mechanism to generate timely insights that can inform treatment and prevention research. This study extends a novel method called stochastic block modeling to derive communities of cannabis consumers as part of a complex social network on Twitter. A set of examples illustrate how this method can ascertain candidate samples of medical, recreational, and illicit cannabis users. Implications for research planning, intervention design, and public health surveillance are discussed.
Low frequency dielectric investigation of glasses

A low frequency bridge and a d.c. charging technique were combined to study dielectric data from 103 cycles/second to below 10−3 cycles/second. This information was assembled with supplementary high frequency data. Two glasses, which represent extremes in dielectric behavior were studied. A comparison of their dielectric response indicates a significant difference in their dielectric constant dispersions. The dielectric constant response, located in a region many orders of ten lower in frequency than the d.c. to a.c. resistivity transition, revealed an extremely large nonlinear dielectric constant dispersion. This dispersion can be classified as an inter-facial polarization and is logically associated with the d.c. resistivity. The dielectric constant response, located in the frequency region adjacent to the d.c. and a.c. resistivity transition, revealed a normal linear dielectric constant dispersion. This dispersion thus appears to be associated with the a.c. resistivity.
Establishing clinical severity for PROMIS ® measures in adult patients with rheumatic diseases

Different patient-reported outcome (PRO) measures are used for rheumatic diseases (RD). The aims of this study are—(1) Identify PROMIS® domains most relevant to care of patients with RD, (2) Collect T-Score metrics in patients with RD, and (3) Identify clinically meaningful cut-points for these domains. A convenience sample of RD patients was recruited consecutively during clinic visits, and asked to complete computer-adaptive tests on thirteen Patient-Reported Outcomes Measurement Information System (PROMIS®) instruments. Based on discussion with clinical providers, four measures were chosen to be relevant and actionable (from rheumatologists’ perspective) in RD patients. Data from RD patients were used to develop clinical vignettes across a range of symptom severity. Vignettes were created based on most likely item responses at different levels on the T-score metric (mean = 50; SD = 10) and anchored at 5-point intervals (0.5 SDs). Patients with RD (N = 9) and clinical providers (N = 10) participated as expert panelists in separate one-day meetings using a modified educational standard setting method. Four domains (physical function, pain interferences, sleep disturbance, depression) that are actionable at the point-of-care were selected. For all domains, patients endorsed cut-points at lower levels of impairment than providers by 0.5 to 1 SD (e.g., severe impairment in physical function was defined as a T-score of 35 by patients and 25 by providers). We used a modified educational method to estimate clinically relevant cut-points to classify severity for PROMIS measures This allows for meaningful interpretation of PROMIS® measures in a clinical setting of RD population.
Emerging Technologies in Flow Diverters and Stents for Cerebrovascular Diseases

Stents and flow diverters have revolutionized the treatment of cerebrovascular disease. Guglielmi coils, flexible microcatheters, and first-generation intracranial stents, such as Neuroform (Stryker Neurovascular) and Enterprise stents (Codman/DePuy-Synthes), have paved the way for the development of the Pipeline Embolization Device (PED) (ev3/Covidien/Medtronic) and other endovascular approaches. This review discusses the historical development of flow diverter technologies from the PED to similar devices, such as the Surpass stent (Stryker Neurovascular), the Flow-Redirection Endoluminal Device (FRED; MicroVention, Inc.), the SILK stent (Balt Extrusion), and the p64 Flow Modulation Device (Phenox). In addition, the potential use of drug-eluting stents and various bioresorbable scaffolds (e.g., poly-l-lactic acid, magnesium), new developments in stent material (e.g., thin-film nitinol), design (e.g., biocompatible polymers, embedded microcircuitry, flow models), and potential applications for flow diverters will be considered. Endovascular treatment of cerebrovascular disease is rapidly advancing via continued development of new technology.
LMI-Based Design of Distributed Controllers to Achieve Component Swapping Modularity

Component swapping modularity (CSM) refers to distributed modular control design in networks of swappable smart components. CSM reduces control design effort and complexity in platform-based systems. Existing CSM methods achieve promising results for low order multi-input-multi-output systems. However, the lack of generalization, heavy computational burden, and to a lower extent, designer’s involvement limit the applications of the existing CSM methods. Thus, this brief utilizes linear matrix inequalities (LMIs) to present an almost automatic CSM algorithm which converges rapidly and is easy to generalize to an arbitrary linear system. The LMI-based CSM is designed to maintain both disturbance attenuation and quadratic stability. Also, it is desired to satisfy specific time response criteria. Thus, the proposed algorithm combines $\mathcal {H}_{2}$ optimization and robust $\mathcal {H}_\infty $ optimization to obtain a distributed control composed of parts with prescribed orders and partially tunable parameters. The designer’s involvement is dramatically reduced to the iterative tuning of two scalar parameters to optimize the fixed part of the controller. The proposed algorithm incorporates reference tracking. Also, stability measures and design criteria are checked numerically at each step. The LMI-based CSM algorithm has been numerically verified using an engine idle speed control example.
LiDiAimc: LincRNA-disease associations through inductive matrix completion

The dysregulations of long intergenic non-coding RNAs (lincRNAs) have shown to be linked with a wide variety of human diseases over the past few years. However, there are only a few lincRNA-disease association inference tools available with most of them relying on very specific type of prior knowledge about the lincRNAs and the diseases. They fall short in generalized association predictions when new type of knowledge becomes available, or to rank disease implications by a novel lincRNA. In this article, we proposed LiDiAimc, a method based on Inductive Matrix Completion strategy, offering generalized integration platform of any type of prior knowledge about the lincRNAs and the diseases. A benefit of the approach is that being an inductive learner, it can be applied to lincRNAs for disease association predictions that are not listed during model build-up phase, and vice versa, an approach unlike traditional matrix factorization frameworks. The proposed LiDiAimc method was applied to association data between human lincRNAs and OMIM disease phenotypes as well as a diverse set of knowledgebase of lincRNAs and diseases. Our method performs better than the state-of-the-art methods in terms of precision@k and recall@k at the top-k disease prioritization to the subject lincRNAs.
Remote Sensing of Impervious Surfaces and Building Infrastructure

The rapidly expanding urban surfaces of today are generally impervious to water and are a key environmental indicator (Arnold and Gibbons 1996) that can be measured with remote sensing. Roads, sidewalks, parking lots, and rooftops are usually constructed of materials that repel almost all incident precipitation. In some cases, precipitation events can result in flash flooding that is similar to the flash floods occurring in rock canyons. The ability to detect, monitor, and analyze changes in the extent of impervious surfaces is important for many other aspects in the quality of environment, such as urban heat islands and pollution. This capability is in high demand for water quality engineering purposes (Zug et al. 1999) and for the assessment of stormwater taxes (Kienegger 1992).
Moving from late to early stage disease: lessons learned from erlotinib in pancreatic cancer.

At the time the CONKO-005 trial was originally conceived, there was an inherent rationale to its design; it represented the next logical step in trying to move the needle in the treatment of early-stage pancreatic adenocarcinoma.
Death resulting from lacrimatory agents.

Currently used riot control agents are primarily intended to incapacitate an individual without causing him illness or permanent bodily harm. The compounds most commonly employed as lacrimatory agents or “tear gases” are chloroacetophenone (CN) and ortho-chlorobenzalmalononitrile (CS). Some studies indicate that CS is less likely to produce harmful effects than CN; CN has been implicated in at least five deaths resulting from its use. The case reported is one of a fatality following the apparently indiscriminate use of CN and CS.
An empirical investigation of methods for nonsymmetric linear systems

The present investigation is concerned with a comparison of methods for solving linear algebraic systems which arise from finite difference discretizations of the elliptic convection-diffusion equation in a planar region Omega with Dirichlet boundary conditions. Such linear systems are typically of the form Ax = b where A is an N x N sparse nonsymmetric matrix. In a discussion of discretizations, it is assumed that a regular rectilinear mesh of width h has been imposed on Omega. The discretizations considered include central differences, upstream differences, and modified upstream differences. Six methods for solving Ax = b are considered. Three variants of Gaussian elimination have been chosen as representatives of state-of-the-art software for direct methods under different assumptions about pivoting. Three iterative methods are also included.
Zinc-65 Uptake by the Prostate

Dogs were injected intravenously with 40 to 150 mu C Zn/sup 65/, with and without injections of testosterone, and prostatic radioactivity was followed by external scintiscanning and tissue analyses. The results revealed that dog prostate concentrates Zn/sup 65/ and maintains a significant level 7 to 9 days following intravenous injection of the isotope. The preparation of dogs with testosterone alone or in conjunction with pilocarpine did not significantly alter the concentration of Zn/sup 65/ by the prostate. With external scintiscanning techniques no selective differentiation could be made between the prostate and surrounding tissue. There was no discernible pattern in the distribution of Zn/ sup 65/ throughout prostatic tissue as measured by radioassay of serial tissue slices, by radioautography, or by in vitro scintiscanning of the whole gland or serial slices. Also, there was no difference in the Zn/sup 65/ uptake by prostate gland whether the carrier was ZnCl/sub 2/ or Zn aluconate. (P.C.H.)
African-American Patient: Bias in Women’s Health

A pregnant African-American woman presents to labor and delivery with concerns of leg swelling. During her time at the hospital, the patient encounters biased and inappropriate comments from the attending physician.
Flat optics: from high-performance metalenses to structured light (Conference Presentation)

Advances in dielectric metalenses in the visible which correct spherical aberration, coma and chromatic aberrations will be presented. The latter have been corrected at multiple wavelengths, in a LED bandwidth and broadband across the visible. Multifunctional components such as metalenses for chiral imaging, ultracompact spectrometers and axicons to create arbitrary Bessel beams will be presented along with broadband high efficiency holograms in the visible and spin-to-total angular momentum converters that create complex helical beams.
Photoperiod and Soil Munition Constituent Effects on Phytoaccumulation and Rhizosphere Interactions in Boreal Vegetation

Permafrost thaw is expected to alter biogeochemistry and hydrology, potentially increasing the mobility of soil constituents. Northern latitude boreal forests where permafrost thaw is occurring also experience extreme changes in day length during the growing season. As the effects of photoperiod on plant uptake of soil constituents or interactions with the rhizosphere are unknown, our objective was to determine these interactions with three plant species from different functional groups. A tree, forb, and grass common to military training ranges in this region were grown in soil spiked with or without lead, antimony, or 2,4-dinitrotoluene and grown under 16, 20, or 24 h of light. Plant biomass, soil constituent uptake, and rhizosphere bacterial communities were compared between treatments. Photoperiod had no effect on plant uptake of any soil constituent or on rhizosphere community, indicating that plants and their associated microbial communities adapted to this environment are resilient to extremes in photoperiod. Lead uptake was not significant in any plant species and had no effect on the rhizosphere. Antimony increased the percentage composition of Saprospirales in the rhizospheres of two of the three plants, indicating an interaction between this bacterial order and antimony. Antimony uptake by white spruce (Picea glauca) was considerable, with a mean concentration of 1731 mg kg−1 in roots, while mean shoot concentration was only 155 mg kg−1, indicating its potential to phytostabilize this heavy metal. Although antimony had the strongest impact on the rhizosphere bacterial community, it was also readily accumulated by the grass and tree.
Enhancing the Performance of Classification Using Super Learning

Classification is one of the supervised learning models, and enhancing the performance of a classification model has been a challenging research problem in the fields of machine learning (ML) and data mining. The goal of ML is to produce or build a model that can be used to perform classification. It is important to achieve superior performance of the classification model. Obtaining a better performance is important for almost all fields including healthcare. Researchers have been using different ML techniques to obtain better performance of their models; ensemble techniques are also used to combine multiple base learner models. The ML technique called super learning or stacked-ensemble is an ensemble method that finds the optimal weighted average of diverse learning models. In this paper, we have used super learning or stacked-ensemble achieving better performance on four benchmark data sets that are related to healthcare. Experimental results show that super learning has a better performance compared to the individual base learners and the baseline ensemble.
Anesthetic Management in Emergent Pediatric Foreign Bodies

Foreign body aspiration (FBA) is one of the most challenging and emergent situations in the pediatric population. It is a cause of significant morbidity and mortality. In the United States, FBA was responsible for about 4800 deaths in 2013, or about 1 death per 100,000 children 0–4 years.
Role of Ancillary Techniques in Gynecologic Cytopathology Specimens

The association between high-risk genotypes of human papillomavirus (hr-HPV) and cervical cancer is well established. As hr-HPV testing is rapidly becoming a part of routine cervical cancer screening, either in conjunction with cytology or as primary testing, the management of hr-HPV-positive women has to be tailored in a way that increases the detection of cervical abnormalities while decreasing unnecessary colposcopic biopsies or other invasive procedures. In this review, we discuss the overall utility and strategies of hr-HPV testing, as well as the advantages and limitations of potential triage strategies for hr-HPV-positive women, including HPV genotyping, p16/Ki-67 dual staining, and methylation assays.
Medically Induced Posttraumatic Stress Disorder in Military Personnel and Veterans: An Overview

Medically induced posttraumatic stress disorder (PTSD) is a growing health concern, given its negative impact on mental, emotional, and physical functioning. There is substantial research that indi...
Feasibility Study for a MEDEVAC Electric UAS Capability

This study examines the feasibility of integrating medical subsystems into an existing Unmanned Aircraft System (UAS) platform to facilitate medical evacuation (MEDEVAC) from combat environments. The implementation of a MEDEVAC-capable UAS is found to be a feasible and logical expansion of current MEDEVAC assets. A comprehensive review of current fully- or semi-autonomous electric vertical takeoff and landing (eVTOL) UAS technologies is conducted to select a candidate aircraft. A conceptual design of the MEDEVAC UAS, configured with equipment needed to sustain a casualty during evacuation is created. The smaller form factor of the system opens the opportunity to pre-deploy MEDEVAC assets to forward combat posts, improve response times, and offer evacuation options when manned assets are denied. The predicted range performance of the system supports such a concept of operation.
Design and Comprehension Testing of Tailored Asthma Control Infographics for Adults with Persistent Asthma.

Background Adherence to daily inhaled corticosteroid medication is important for asthma control but low health literacy is a barrier to comprehension of control status and may contribute to medication nonadherence. Infographics tailored with patients' own data can support comprehension of health status, but these have not been applied to asthma successfully. Objectives This two-phased study developed and tested tailored infographics of (1) scores on the Asthma Control Questionnaire (ACQ), a self-report measure of symptom burden, and (2) pulmonary function test (PFT) results. The infographics are intended for use as communication and adherence-promotion tools in clinical interactions. Methods For both phases, participants (18+ years, English- or Spanish-speaking, persistent asthma) were recruited through two primary care clinics. In Phase I, we used a hybrid iterative participatory design process to refine prototype designs. In Phase II, we conducted individual comprehension assessment interviews with the finalized designs. Infographics were hand-tailored for each participant using their ACQ score and PFT results collected at the start of the interview. Two independent raters scored interview transcripts for gist and verbatim comprehension based on a predetermined rubric. Results The five Phase I design sessions led to final prototypes that participants (n = 21) considered appealing and easy to comprehend. All Phase II participants (n = 10) demonstrated complete gist and verbatim comprehension. Participants reacted favorably to receiving their information via infographics and expressed intentions to engage in self-management behaviors (e.g., medication adherence, smoking cessation, weight loss, and review of their care plan) in response to the information. Conclusion This study provides preliminary evidence that infographics can support comprehension of asthma control status and promote self-management intentions among adults with persistent asthma. Infographics can be programmed into electronic health records and/or standalone applications to allow for instant tailoring at the point of care.
Human Gait Analysis Metric for Gait Retraining

The combined gait asymmetry metric (CGAM) provides a method to synthesize human gait motion. The metric is weighted to balance each parameter's effect by normalizing the data so all parameters are more equally weighted. It is designed to combine spatial, temporal, kinematic, and kinetic gait parameter asymmetries. It can also combine subsets of the different gait parameters to provide a more thorough analysis. The single number quantifying gait could assist robotic rehabilitation methods to optimize the resulting gait patterns. CGAM will help define quantitative thresholds for achievable balanced overall gait asymmetry. The study presented here compares the combined gait parameters with clinical measures such as timed up and go (TUG), six-minute walk test (6MWT), and gait velocity. The comparisons are made on gait data collected on individuals with stroke before and after twelve sessions of rehabilitation. Step length, step time, and swing time showed a strong correlation to CGAM, but the double limb support asymmetry has nearly no correlation with CGAM and ground reaction force asymmetry has a weak correlation. The CGAM scores were moderately correlated with TUG and strongly correlated to 6MWT and gait velocity.
Native Herbivores Improve Sexual Propagation of Threatened Staghorn Coral Acropora cervicornis

Staghorn coral Acropora cervicornis was once spatially dominant on Caribbean reefs but is now threatened throughout its range. In recent years, advancements in ex-situ sexual propagation of Caribbean corals have increased the viability of this management strategy. Thus, improving culture methods for sexually propagated corals is important to bolster the overall coral restoration portfolio and increase genetic diversity in restored populations. In both natural systems and culture scenarios, algae proliferation negatively impacts coral growth and survival. Growing coral with native herbivores may represent a strategy for increased efficiency. We tested A. cervicornis recruits raised in replicate aquaria with identical densities of juvenile Lithopoma americanum or juvenile Batillaria minima snails plus a no-snail control. Each of three replicates per treatment contained tiles with similar numbers of recently settled, visually healthy, A. cervicornis. Tiles were photographed every three weeks for five months and coral growth, survivability, turf algae cover, and crustose coralline algae (CCA) cover were quantified. Labor time for cleaning was carefully recorded for each treatment. Results indicated improved growth and survival when A. cervicornis recruits were raised with either snail species in comparison to a no-herbivore control. Further, including snails decreased labor and eliminated turf algae cover. Interestingly, L. americanum significantly reduced CCA cover relative to the other treatments. We report some of the highest survival rates observed to date for sexually propagated Atlantic corals. Ultimately, results suggest that rearing sexually propagated A. cervicornis with native herbivores could improve the ability to employ these corals in reef restoration.
How Much Sugar is in My Drink? The Power of Visual Cues

Despite widespread attempts to educate consumers about the dangers of sugar, as well as the advent of nutritional labeling, individuals still struggle to make educated decisions about the foods they eat, and/or to use the Nutrition Facts Panel. This study examined the effect of visual aids on judgments of sugar quantity in popular drinks, and choices. 261 volunteers at four different locations evaluated 11 common beverages. Key measures were estimates of sugar in the drinks, nutrition knowledge, and desire to consume them. In the experimental condition, participants viewed beverages along with test tubes filled with the total amount of sugar in each drink; the control condition had no sugar display. Both groups were encouraged to examine the Nutrition Facts Panel when making their evaluations. Correlational analyses revealed that consumers exposed to the visual aid overestimated sugar content and the length of time needed to exercise to burn off the calories; they also had lower intentions to consume any of the beverages. Individuals asserting to use the Nutrition Facts Panel (NFP) in general were also less likely to admit using it in this particular study (r = −2, p = 0.001). This study suggests that a simple visual aid intervention affected judgments and choices towards curtailing sugar intake. This has implications for labeling format implementation.
CRT-100.86 One-Year Outcomes for In-stent Restenosis in Ostial Coronary Lesions

In-stent restenosis (ISR) is a common adverse event, occurring in 30% of bare metal stents (BMS) and 5-10% of drug-eluting stents (DES). Successful treatment of ISR in ostial and very proximal location in the left circumflex (LCX) artery have been anecdotally reported. We aimed to determine whether
Achievement Levels in Tennis Knowledge and Skill for Women Physical Education Major Students

(1953). Achievement Levels in Tennis Knowledge and Skill for Women Physical Education Major Students. Research Quarterly. American Association for Health, Physical Education and Recreation: Vol. 24, No. 1, pp. 81-90.
Cell type-specific lipid storage changes in Parkinson’s disease patient brains are recapitulated by experimental glycolipid disturbance

Neurons are dependent on proper trafficking of lipids to neighboring glia for lipid exchange and disposal of potentially lipotoxic metabolites, producing distinct lipid distribution profiles among various cell types of the central nervous system. Little is known of the cellular distribution of neutral lipids in the substantia nigra (SN) of Parkinson's disease (PD) patients and its relationship to inflammatory signaling. This study aimed to determine human PD SN neutral lipid content and distribution in dopaminergic neurons, astrocytes, and microglia relative to age-matched healthy subject controls. The results show that while total neutral lipid content was unchanged relative to age-matched controls, the levels of whole SN triglycerides were correlated with inflammation-attenuating glycoprotein non-metastatic melanoma protein B (GPNMB) signaling in human PD SN. Histological localization of neutral lipids using a fluorescent probe (BODIPY) revealed that dopaminergic neurons and midbrain microglia significantly accumulated intracellular lipids in PD SN, while adjacent astrocytes had a reduced lipid load overall. This pattern was recapitulated by experimental in vivo inhibition of glucocerebrosidase activity in mice. Agents or therapies that restore lipid homeostasis among neurons, astrocytes, and microglia could potentially correct PD pathogenesis and disease progression.
Ride hailing app use and drunk/drugged driving among young adult nightclub patrons.

Nightclub patrons who consume alcohol and drugs in these venues would appear to be an important population to target with on-demand ride hailing app (RHA) services to reduce drunk/drugged driving (...
Global attractivity in a class of non-autonomous, nonlinear, higher order difference equations

Non-autonomous, higher order difference equations of type with real variables and parameters have appeared frequently in the literature. These equations are well defined on Banach algebras, and existing convergence results can be generalized from real numbers to algebras. Through this generalization and by using a recently obtained semiconjugate factorization of the above equation, new sufficient conditions are obtained for the convergence to zero of all solutions of nonlinear difference equations of the above type. Where reduction of order is possible, these conditions extend the ranges of parameters for which the origin is a global attractor even in the case of real variables and parameters.
Measurement of J/ψ production in p + p collisions at s=500 GeV at STAR experiment

Abstract Quarkonium measurements in heavy-ion collisions play an essential role in understanding the hot, dense medium created in such collisions. As a reference, their production mechanism in p + p collisions needs to be thoroughly understood. In this paper, we report the measurement of inclusive cross section of J / ψ with transverse momentum (pT) above 4 GeV/c at mid-rapidity in p + p collisions at s = 500 GeV by the STAR experiment. The ratio of the yield of ψ ( 2 S ) to J / ψ integrated over 4 p T 12 GeV / c is also presented. Furthermore, the J / ψ yields are studied in different event multiplicity bins in different J / ψ pT regions, where the low pT measurement is enabled by the newly installed Muon Telescope Detector. A strong increase of the relative J / ψ yield with the event multiplicity is observed for all pT with significant pT dependence.
Inferring finer-grained human information with multi-modal cross-granularity learning: PhD forum abstract

Existing machine learning algorithms for human information inference are typically data-driven models trained on carefully labeled datasets. Given the significant labeling effort, traditional pure data-driven approaches are challenging to implement for emerging smart applications requiring long-term finer-grained information. Taking activities of daily life (ADL) tracking for elders as an example, prior work mostly focused on context-level information learning such as cooking and cleaning. [8]. However, new applications such as evaluating elders' cognitive impairments progress by tracking their ADL engagement requires finer-grained, i.e., action-level information [7]. In practice, labeling the day-length data at such granularity can be very expensive and requires a lot of human efforts [9]. My research focuses on the inference problems in the scope of human physical condition monitoring and activity recognition with limited labeled data. To alleviate the effort of labeling large amounts of data, prior works on semi-supervised learning combine a small amount of labeled data with a large amount of unlabeled data to train the model. However, as the label granularity (number of classes) increasing, the difficulty to distinguish nuance distinctions between finer-grained classes escalates as well. This makes training a robust semi-supervised model for finer-grained classification with less labels difficult if not impossible. Fortunately, coarse-grained (context-level) labels is usually available or cheaper to obtain in practice. In this case, the multi-granularity hierarchy between finer and coarse labels follows the aggregation relation defined in [5]. This hierarchical relation can be leveraged in the tasks of inferring finer-grained information. In addition, it is illustrated by the previous study that co-located multi modality sensing systems capture complementary aspects of the same event [6]. The research question I focus on is how to infer finer-grained human information with coarse-grained labeled data leveraging complementary multi-modal sensing? I target three directions: 1) a cross-granularity semi-supervised setting: how to utilize coarse-grained labeled data with a small amount of finer-grained labeled data to infer finer-grained human information, 2) cross-granularity relationship learning: how to learn the multi-granularity class hierarchy from data and further help the finer-grained human information acquisition, 3) enhancing inference granularity by leveraging multi-model sensing: how to leverage the complimentary co-located multiple sensing modalities to accurately infer finer-grained human information?
Synchronization of Electro-Optically Modulated Kerr Soliton Comb to a Chip-Scale Mode-Locked Laser PIC via Harmonic Injection Locking

We present an optical frequency division technique to transfer the timing stability of a stabilized Kerr Microresonator Soliton Frequency Comb (~305 GHz repetition rate) to a chip-scaled mode-locked laser (~10 GHz repetition rate).
Applicability of artificial neural network for modeling and prediction of the laser polished surface quality

Surface quality improvement by a laser polishing (LP) process is a new innovative technology enabling value-adding functionalities, such as improving visual appearance, wettability, friction, and others through the control and reconfiguration of the surface topography. However, the resultant surface is dependent upon many process parameters which makes selecting optimal process parameters to achieve desired surface topography difficult and unrepeatable. It was proposed and demonstrated that artificial neural network (ANN) can reliably model the LP of H13 tool steel and predict the laser polished surface topography parameters, such as areal waviness and roughness, with a probability of 80%. © 2020 Her Majesty the Queen in Right of Canada, as represented by the National Research Council of Canada; equal contribution of co-authors
An Assessment of Pediatric Resident Disaster Preparedness for the Neonatal Intensive Care Unit.

Objective To assess the level of neonatal intensive care unit (NICU) disaster preparedness among pediatric residents. Methods A mixed-methods study including qualitative interviews and quantitative surveys was used. Interviews guided survey development. Surveys were distributed to residents who rotated through Children's National NICU. Questions assessed residents' background in disaster preparedness, disaster protocol knowledge, NICU preparedness, roles during surge and evacuation, and views on training and education. Results Survey response was 62.5% (n = 80) with 51.3% of invited residents completing it. Pediatric residents (PGY-2 and PGY-3) (n = 41) had low levels of individual disaster preparedness, particularly evacuations (86%). None were aware of specific NICU disaster protocols. Patient acuity, role ambiguity, knowledge, and training deficits were major contributors to unpreparedness. Residents viewed their role as system facilitators (eg, performing duties assigned, recruiting other residents, and clerical work like documentation). Resident training requests included disaster preparedness training every NICU rotation (48%) using multidisciplinary simulations (66%), role definition (56%), and written protocols (50%). Despite their unpreparedness, residents (84%) were willing to respond. Conclusion Pediatric residents lacked knowledge of NICU disaster response but were willing to respond to disasters. Training should include multi-disciplinary simulations that can be refined iteratively to clarify roles, and residents should be involved in planning and execution.
Increasing Material Coverage in Software Engineering through the Introduction of the Flipped Classroom

Software Engineering represents a rapidly changing engineering discipline. As a young discipline, the field has not reached the same level of maturity as other engineering disciplines. Furthermore, as a rapidly evolving field, it also is encountering greater change than many other disciplines of engineering. This change leads to a much greater challenge meeting the needs of diverse engineering constituents. More material must be taught in each course and at a faster pace in order to ensure that students are ready for the demands of industry. At the Milwaukee School of Engineering, curriculum changes have resulted in a reduction in lab content and credit for courses. In one course, Operating Systems, the lab component has been removed entirely. However, through prudent course design and the usage of the flipped classroom, the same amount of content was able to be covered in less time. This article will present an analysis of the findings of applying the flipped classroom to teaching operating systems to software engineering students. Included will be analysis of student performance from control groups prior to the curriculum conversion, as well as observations from students on the usage of the flipped classroom. In particular, the data indicates improved performance for the bottom group of students when using the flipped classroom approach.
Chronic traumatic and congenital diaphragmatic hernias: presentation and surgical management.

BACKGROUND: The diagnosis of chronic diaphragmatic hernias, whether due to congenital defects or trauma, may be difficult to make and may rely on clinical suspicion in the setting of persistent nondiagnostic radiographic findings. Repair is indicated to avoid catastrophic cardiopulmonary compromise and/or incarceration of abdominal organs.
Association of utrophin and multiple dystrophin short forms with the mammalian M(r) 58,000 dystrophin-associated protein (syntrophin)

Electric tissue syntrophin, originally described as an M(r) 58,000 postsynaptic protein having homologs in mammalian muscle, was previously shown to associate with dystrophin in Triton extracts of Torpedo postsynaptic membranes. It also associates with the Torpedo M(r) 87,000 postsynaptic protein (87K), the core of which is a superdomain homologous to the cysteine-rich (CR) and COOH-terminal (CT) domains of human dystrophin. Using immunoaffinity purifications from various rat tissues and immunoblotting, we find that syntrophin associates with dystrophin, utrophin (the chromosome 6-encoded dystrophin homolog formerly known as dystrophin-related protein), multiple proteins which are cross-reactive with 87K, and two subfamilies of 71K-like proteins (CRCT-containing proteins encoded by the dystrophin gene under the control of an alternative promoter in intron 62). One 71K subfamily retains the dystrophin COOH-terminal sequence; the other has an alternative COOH-terminal sequence caused by deletion of the penultimate exon by alternative splicing. The relative masses of the members of the subfamilies suggest they arise by alternative splicing at other previously described sites within CT. These results establish that syntrophin is a general ligand for the CRCT domain in mammalian dystrophin and its homologs. They also reveal a greater diversity in 71K proteins than has previously been apparent.
Refinable subspaces of a refinable space

Local refinable finitely generated shift-invariant spaces play a significant role in many areas of approximation theory and geometric design. In this paper we present a new approach to the construction of such spaces. We begin with a refinable function ψ : R → Rm which is supported on [0, 1]. We are interested in spaces generated by a function φ : R → Rn built from the shifts of ψ.
An examination of implicitly activated, explicitly activated, and nullified stereotypes on mathematical performance: It's not just a woman's issue.

This study was designed to examine the different ways that stereotypes might become activated in testing situations and the effects this activation has on task performance. In Experiment 1, women undergraduates exposed to an explicitly activated stereotype (i.e., told men outperform women in mathematics) performed worse than women exposed to a nullified stereotype (i.e., told men and women perform at the same level in mathematics). The stereotype threat also was activated implicitly under “normal” conditions (i.e., just given the test with nothing else stated) such that performance in this condition was at the same (low) level as the explicitly activated threat. In Experiment 2, the results were replicated with White male undergraduates using the stereotype that “Asians are better than Whites” in mathematics. In addition, in a small field survey we found that this belief about ethnicity did occur spontaneously for White men in college calculus courses. Taken together, the results of these studies suggest that even under normal circumstances, math test situations may lead to nonoptimal performance for both stigmatized (women) and traditionally nonstigmatized (White men) group members. Implications for threat nullification techniques are discussed.
Application of autonomic agents for global information grid management and security

In the near future, the U.S. DoD will activate a newly created Global Information Grid (GIG) providing an agile, robust, interoperable and collaborative communication network. This GIG is viewed as the single most important contributor to combat power and protection [1]. The GIG can be characterized as a globally interconnected, end-to-end set of disparate information and processing capabilities available on-demand to warfighters, policymakers and support personnel.Management of the GIG resources and operation will be, of necessity, intrinsic to the architecture and transparent to the user. The development an architecture that is secure against malicious exploitation, data or service denial and data corruption is a principal focus. Introduction of mobile, adhoc network elements having intermittent network connectivity and limited life exacerbates this problem. In this paper we explore the GIG and present an innovative application of Autonomic Agent technology currently in development that has the potential to automate many of the obligatory network management tasks. Additionally, we introduce a GIG Simulation Testbed that, utilizing Discrete Event System Specification (DEVS), is proving useful in simulating GIG operation at the node level for the analysis of agent-based detection and neutralization of network cyber attacks by malicious parties and programs.