cssi/SciSciGPT-SciSciNet huggingface dataset:
URTICARIA, ANGIOEDEMA, AND AUTOIMMUNITY

Until relatively recently, the pathophysiologic significance of the recognized associations between autoimmunity and swelling was largely unknown. It has now become clear that autoimmunity can play a critical role in the pathogenesis of chronic urticaria and acquired C1-INH deficiency with angioedema. Chronic urticaria has been associated with antithyroid autoantibodies, anti-IgE autoantibodies, and anti-Fc epsilon RI autoantibodies. The latter two autoantibodies are particularly interesting in that they have been shown to be capable of directly causing mast cell degranulation. It appears likely, therefore, that most cases of chronic urticaria will ultimately be considered an autoimmune disease rather than an allergic disease. The link between autoimmunity and the development of acquired C1-INH deficiency is also of interest. Recent studies suggest that the majority of acquired C1-INH deficiency patients have anti-C1-INH autoantibodies that appear to be responsible for the development of the C1-INH deficiency. In addition, both chronic urticaria and C1-INH deficiency can be associated with other autoimmune diseases, although the importance of these associations remains to be determined. Recognition of the role of autoantibodies in the pathogenesis of chronic urticaria and acquired C1-INH deficiency has altered the range of diagnostic and therapeutic approaches that need to be considered in approaching patients with chronic urticaria or acquired C1-INH deficiency. Future progress in understanding the genesis of these diseases may help elucidate the mechanism of autoantibody generation.
The Food-Chain Issue for Corporate Punishment: What Criminal Law and Punitive Damages Can Learn from Each Other

The admiralty case now at the Supreme Court, Exxon v. Baker, presents the food-chain question for corporate punishment: how high in the corporate hierarchy must misbehavior go before the corporation itself may be punished? Every American jurisdiction allows corporations to be punished with criminal liability and with some form of punitive damages. In both criminal law and the law of punitive damages, there is persistent division about the food-chain question. However, the fields develop with virtually no contact from one to the other, and the rules states adopt in each field have no correlation with the rules they adopt in the other. I survey approaches in criminal law and punitive damages, argue that states have good reason to adopt the same rule in both fields, and point to several particular ways in which the development of the law in one field can profit from the insights of the other.
Conversion Symptoms and Psychoanalysis in a Second Language: Some Thoughts on Their Relationship in the Analysis of Mr. B

Abstract Conversion symptoms involve a regression, where the patient appears to have lost access to previously available modes of verbal expression. Instead movements, sensations, postures, gestures, and visceral processes express emotions and unconscious wishes directly. Patients who are analyzed in a language other than their mother tongue, without access to the language of their early years, may rely on the body to express powerful affect and fantasies. A patient who displayed pseudoseizures on the couch is presented, looking specifically at how this man's conversion reaction may relate to the fact that the language of the analysis is not his mother tongue.
Understanding “His and Her” Work-Family Conflict and Facilitation

Work-family conflict (negative spillover between work and family) and work-family facilitation (positive spillover between work and family) are two aspects of the work-family interface. Prior work has established that these constructs are statistically and conceptually distinct, but less is known about what work and family characteristics are associated with conflict versus facilitation. Understanding who is most at risk for conflict and most benefiting from facilitation is necessary for establishing effective workplace policies. We used structural equation modeling to determine whether (1) work-family conflict and facilitation have different (statistical) predictors, and (2) whether these predictive relations are moderated by gender. Perceiving more work demands predicted greater work-family conflict, but was unrelated to facilitation. Perceiving more skill discretion at work and being married predicted greater work-family facilitation, but was unrelated to work-family conflict. Perceiving more decision authority and social support at work, and having more children, predicted less conflict and more facilitation. Most predictors were stronger for men than for women. We discuss implications of these results for designing effective policies to increase work-family facilitation and decrease work-family conflict for men and women.
Investigation of d-s Shell Nuclei with (d, He 3 ) Reactions

The possibility of studying nuclear structure by ($d$, ${\mathrm{He}}^{3}$) reactions with 15-MeV deuterons has been investigated and cross sections for transitions to low-lying states measured on a variety of nuclei (${\mathrm{O}}^{16}$, ${\mathrm{F}}^{19}$, ${\mathrm{Al}}^{27}$, ${\mathrm{P}}^{31}$, ${\mathrm{S}}^{32}$, ${\mathrm{Cl}}^{35}$, ${\mathrm{Ca}}^{40}$, ${\mathrm{Ni}}^{58}$, ${\mathrm{Cu}}^{63}$). Using distorted wave Born calculations, the spectroscopic factors have been extracted and some information obtained on the properties of the low-lying states. The ground states of ${\mathrm{O}}^{16}$, ${\mathrm{P}}^{31}$, ${\mathrm{S}}^{32}$, ${\mathrm{Cl}}^{35}$, and ${\mathrm{Ca}}^{40}$ are found to be essentially well described by the shell model. In the ${\mathrm{S}}^{32}$ ground state an admixture of about 13% of ${{s}_{\frac{1}{2}}}^{2}{{d}_{\frac{3}{2}}}^{2}$ configuration has been established. The first excited state of ${\mathrm{Si}}^{30}$ ($E=2.24$ MeV, $J={2}^{+}$) and the second excited state of ${\mathrm{P}}^{31}$ ($E=2.23$ MeV, $J={\frac{5}{2}}^{+}$) appear as ${d}_{\frac{5}{2}}$ hole states. The ratio of spectroscopic factors shows that the ${\mathrm{Mg}}^{26}$ ground state ($J={0}^{+}$) and excited state at 1.83 MeV ($J={2}^{+}$) are rotational levels of a $K=0$ band. The probability of finding the deuteron ground state within the ${\mathrm{He}}^{3}$ ground state was found to be \ensuremath{\sim}0.7.
Flight Behaviors of a Complex Projectile using a Coupled CFD-based Simulation Technique: Free Motion

This paper describes a computational study to understand the free roll, pitch, and yaw motion of a canard-controlled, fin-stabilized projectile. Numerical computations were performed for this projectile using an advanced coupled computational fluid dynamics and rigid body dynamics technique. Additionally, the coupled approach was tailored to be constraints-based for the rigid body dynamics allowing for pure pitching and pure rolling motions to be studied prior to considering the full roll-pitch-yaw. Flow visualizations and aerodynamic force and moment computations indicate unsteady canard stall at high angle of attack and significant interaction of these canard vortices on the afterbody-fins. Parameter estimation was performed to obtain aerodynamic coefficients, assess the aerodynamic model, and understand the roll-pitch-yaw coupling. These results suggest that improvements to aerodynamic modeling are necessary to better capture high angle of attack phenomenon such as unsteady canard stall and vortex interactions. Analysis of the pure pitch and pure roll predicts the coupled roll-pitch-yaw motion well with the exception of unsteady and interaction effects during periods of high angle of attack.
Conducting Ethical Research With Big and Small Data: Key Questions for Practitioners

The focal article (Guzzo, Fink, King, Tonidandel, & Landis, 2015) sought to “raise awareness and provide direction with regard to issues and complications uniquely associated with the advent of big data,” (p. 492), and we commend their success in offering Society for Industrial and Organizational Psychology (SIOP) members a solid foundation and resources on which to draw. Our aim here is to extend their position, particularly to drive the conversation toward concrete recommendations for how industrial and organizational psychologists (I-Os) working in industry can apply the principles set forth in the focal article in our day-to-day work, specifically around the issue of avoiding ethical missteps in this new landscape.
Codelivery of Infusion Decellularized Skeletal Muscle with Minced Muscle Autografts Improved Recovery from Volumetric Muscle Loss Injury in a Rat Model

Skeletal muscle is capable of robust self-repair following mild trauma, yet in cases of traumatic volumetric muscle loss (VML), where more than 20% of a muscle's mass is lost, this capacity is overwhelmed. Current autogenic whole muscle transfer techniques are imperfect, which has motivated the exploration of implantable scaffolding strategies. In this study, the use of an allogeneic decellularized skeletal muscle (DSM) scaffold with and without the addition of minced muscle (MM) autograft tissue was explored as a repair strategy using a lower-limb VML injury model (n = 8/sample group). We found that the repair of VML injuries using DSM + MM scaffolds significantly increased recovery of peak contractile force (81 ± 3% of normal contralateral muscle) compared to unrepaired VML controls (62 ± 4%). Similar significant improvements were measured for restoration of muscle mass (88 ± 3%) in response to DSM + MM repair compared to unrepaired VML controls (79 ± 3%). Histological findings revealed a marked decreas...
Older adults' privacy considerations for vision based recognition methods of eldercare applications

This study aims to explore older adults' privacy considerations for technology based monitoring applications in eldercare that use video systems. It specifically aims to introduce alternative vision based tools and identify whether distorting or "anonymizing" captured images affect older adults' privacy concerns and willingness to allow such an application to be installed in their residence. Ten residents of an independent retirement community were recruited to participate in a series of scenarios. Each scenario involved a daily activity such as sitting in the living room and having a visitor, or preparing a snack. These sessions were video-recorded using different image processing and extraction approaches. Follow-up in-depth interviews with participants were conducted after a demonstration of the captured images. Findings indicate that shape extraction can alleviate privacy concerns associated with the use of cameras. Participants expressed no privacy concerns with silhouette images and emphasized the importance of anonymity in the video sequences. They furthermore expressed the desire to control system operation by being able to turn a vision-based system off and on, and also determine who has access to the collected information.
Design and characterization of high efficiency nano-antenna couplers

We present the design and characterization of three ultra-compact nanoantenna couplers integrated on plasmonic slot waveguides. Light is coupled from a lensed fiber and the couple-out efficiencies are measured to be from 30% to 46%.
A weighty problem

Altered dopamine signaling in obesity might decrease physical activity without contributing to weight gain.
Supervised Machine Learning for Estimation of Target Aspect Angle From Bistatic Acoustic Scattering

When an aspect-dependent target is insonified by an acoustic source, distinct features are produced in the resulting bistatic scattered field. These features change as the aspect between the source and the target is varied. This paper describes the use of these features for estimation of the target aspect angle using data collected by an autonomous underwater vehicle (AUV). An experiment was conducted in November 2014 in Massachusetts Bay to collect data using a ship-based acoustic source producing 7–9-kHz linear frequency modulation (LFM) chirps insonifying a steel pipe. The true target orientation was unknown, as the target was dropped from the ship with no rotation control. The AUV Unicorn , fitted with a 16-element nose array, was deployed in data collection behaviors around the target, and the ship was moved to create two target aspects. A support vector machine regression model was trained using simulated scattering bistatic field data. This model was then used to estimate the target aspect angle from the data collected during the experiment. The difference between the estimates was consistent with experimental observations of relative source positioning. The simulation-based model appeared successful in estimating the target aspect angle despite uncertainties in target and source location and mismatch between true environment and simulation parameters.
Land use change implications for large-scale cultivation of algae feedstocks in the United States Gulf Coast

Algae is considered a promising future feedstock for biofuels. Although several studies have been conducted to assess the environmental impact of algae-based fuels, land use change is one area that is commonly overlooked in previous life cycle assessment studies. However, land use change can impact the life cycle greenhouse gas (GHG) emissions of algal biofuels when large tracts of land are converted to algal raceway cultivation systems. This study assesses the impacts of land use change through a variety of means. The Intergovernmental Panel on Climate Change (IPCC) Tier 1 methodology was utilized to assess potential emissions resulting from the conversion of potential algae facility sites in the U.S. Gulf Coast, consisting of grassland, cropland, and forestland in several management conditions. These emission values over a 20-year time horizon were combined with guidance on promising sites for algae raceway development to provide an estimate of industry-wide GHG emissions impacts due to direct land use change (LUC). Direct LUC impacts appear to be important, with average GHG emissions of between 4 and 8 g CO2eq/MJ for grassland and cropland conversion, which is roughly 6.3% and 12.5% of the total GHG emission over the entire algae renewable diesel life cycle without considering the LUC. Emissions due to direct LUC could be even larger if previously forested lands are cleared, averaging 24.7 g CO2eq/MJ across a range of potential algae sites. This article details the methods, assumptions and initial LCA results for these land use change scenarios when considering the algae biofuels life cycle. Results from this LCA can help decision-makers recognize the importance of facility siting in overall environmental performance, and select locations of algae cultivation facilities to minimize direct LUC emissions.
Novel approaches in function-driven single-cell genomics

Deeper sequencing and improved bioinformatics in conjunction with single-cell and metagenomic approaches continue to illuminate undercharacterized environmental microbial communities. This has propelled the 'who is there, and what might they be doing' paradigm to the uncultivated and has already radically changed the topology of the tree of life and provided key insights into the microbial contribution to biogeochemistry. While characterization of 'who' based on marker genes can describe a large fraction of the community, answering 'what are they doing' remains the elusive pinnacle for microbiology. Function-driven single-cell genomics provides a solution by using a function-based screen to subsample complex microbial communities in a targeted manner for the isolation and genome sequencing of single cells. This enables single-cell sequencing to be focused on cells with specific phenotypic or metabolic characteristics of interest. Recovered genomes are conclusively implicated for both encoding and exhibiting the feature of interest, improving downstream annotation and revealing activity levels within that environment. This emerging approach has already improved our understanding of microbial community functioning and facilitated the experimental analysis of uncharacterized gene product space. Here we provide a comprehensive review of strategies that have been applied for function-driven single-cell genomics and the future directions we envision.
Tips for publishing your clinical cardiology research.

There are no secrets to getting your clinical cardiology research published in a high-impact journal. Indeed, there are many online and print resources that detail how to perform and publish high-quality research.1–8 This article provides a very short summary of the essential elements and some tips for getting started (table 1). View this table: Table 1 Tips for publishing your clinical cardiology research Publication of your clinical cardiology research in a peer-reviewed journal ensures that the data are available to other investigators, promote discussion among the research community, serve as basis for future research and ensure that your methodology and results are permanently archived. Ultimately, the goal of clinical cardiology research is to improve the care of patients with heart disease; each valid piece of data adds to that knowledge base. Novice researchers often erroneously think of the published paper as the final step in the research project. Experienced researchers recognise that thinking about the paper actually is one of the first steps in planning clinical research. Using the reporting guidelines appropriate to your study type will ensure your protocol meets the highest research standards.2 3 Your research (and the paper) should start with an important clinical or scientific question and should have a clearly articulated …
Long-term and Short-term Dopaminergic (Cabergoline) and Antidopaminergic (Sulpiride) Effects on Insulin Response to Glucose, Glucose Response to Insulin, or Both in Horses

Abstract Dopaminergic drugs, such as those used to treat pituitary pars intermedia dysfunction (PPID) in horses, have been shown to improve insulin sensitivity in other species. It has been suggested that pergolide, used to treat PPID, may enhance insulin sensitivity in resistant horses, although evidence for that remains unclear. Four experiments were conducted herein to determine possible effects of dopaminergic inhibition or stimulation on two indices of insulin sensitivity in horses: the glucose response to insulin (GR2I), administered intravenously (IV) using a fixed dose of recombinant human insulin, and the insulin response to an acute IV infusion of glucose (IR2G). The first experiment tested the short-term effects of sulpiride (in saline; IV) 5 minutes prior to IR2G in insulin-sensitive and insulin-insensitive mares. Experiment 2 tested the effects of a long-term sulpiride protocol (1.5 g intramuscularly [IM] every 5 days for 45 days) on GR2I and IR2G in insulin-sensitive and insulin-insensitive geldings. Experiment 3 tested the short-term effects of 5-mg cabergoline IM on GR2I and IR2G in insulin-sensitive and insulin-insensitive mares. The fourth experiment tested the long-term effects of cabergoline IM on GR2I in insulin-sensitive mares. Results from these experiments revealed that neither increased nor decreased dopaminergic activity, in the long or short term, had any impact on GR2I or IR2G in horses ( P > .1), regardless of starting insulin sensitivity status. We conclude that dopaminergic agents have no benefit for treating insulin insensitivity in horses, in spite of a perception of such benefits permeating the industry.
Home Front: North Carolina during World War II

This engaging book will appeal especially to readers interested in North Carolina history and in how Americans experienced World War II at home. While not making new arguments about the war’s impac...
Characterization of Novel Piperidine-Based Inhibitor of Cathepsin B-Dependent Bacterial Toxins and Viruses.

Exploiting the host endocytic trafficking pathway is a common mechanism by which bacterial exotoxins gain entry to exert virulent effects upon the host cells. A previous study identified a small-molecule, 1-(2,6-dimethyl-1-piperidinyl)-3-[(2-isopropyl-5-methylcyclohexyl)oxy]-2-propanol, that blocks the process of anthrax lethal toxin (LT) cytotoxicity. Here, we report the characterization of the bioactivity of this compound, which we named RC1. We found that RC1 protected host cells independently of LT concentration and also blocked intoxication by other bacterial exotoxins, suggesting that the target of the compound is a host factor. Using the anthrax LT intoxication pathway as a reference, we show that while anthrax toxin is able to bind to cells and establish an endosomal pore in the presence of the drug, the toxin is unable to translocate into the cytosol. We demonstrate that RC1 does not inhibit the toxin directly but rather reduces the enzymatic activity of host cathepsin B that mediates the escape ...
Immunopharmacologic Approaches to the Treatment of Allergy

ABSTRACT Two new potential approaches to immunotherapy of IgE-mediated allergic diseases - induction of suppressor mechanisms and induction of specific immunologic tolerance are discussed.
Unique Continuation of Harmonic Functions at Boundary Points and Applications to Problems in Complex Analysis

This is a report on some recent results obtained by the authors on unique continuation at boundary points for harmonic functions satisfying appropriate local sign conditions on the boundary. The authors’ investigation was initially motivated by some questions in several complex variables. After we present the main results we shall indicate the connection to these questions. We will also mention some open related problems. We consider an open set Ω in ℝ n and a boundary point x 0. We need to assume that, near x 0, the boundary of Ω is either a piece of a hyperplane or a piece of a sphere. We state our results in the latter case.
The impact of extremes of maternal age on maternal and neonatal pregnancy outcomes in women with pregestational diabetes mellitus.

Background:. Diabetes mellitus (DM) during pregnancy increases the risk for many complications such as preeclampsia and cesarean section. Teen (age <20) and advanced maternal age (AMA, age ≥35) pre...
Storm clouds on the horizon: feminist ontologies and the problem of gender

Feminist digital humanities is no longer focused primarily on recovering and preserving works by women authors. Feminist scholars are currently engaged in changing information design and data visua...
Impact of SLCO1B1 pharmacogenetic testing on patient and healthcare outcomes: A systematic review

Demonstrated improvements in patient outcomes will facilitate the clinical implementation of pharmacogenetic testing. Using the association between solute carrier organic anion transporter family member 1B1 (SLCO1B1) and statin-associated muscle symptoms (SAMSs) as a model, we conducted a systematic review of patient outcomes after delivery of SLCO1B1 results. Using PubMed and Embase searches through December 19, 2017, we identified 37 eligible records reporting preliminary or final outcomes, including six studies delivering only SLCO1B1 results and five large healthcare system-based implementation projects of multipharmacogene panels. Two small trials have demonstrated at least short-term improvements in low-density lipoprotein cholesterol after SLCO1B1 testing among previously statin intolerant patients. Evidence from large implementation projects suggests that SLCO1B1 results may change prescribing patterns for some high-risk patients. No study has reported improvements in SAMSs or cardiovascular events or tracked the economic outcomes of SLCO1B1 testing. Ongoing studies should collect and report outcomes relevant to pharmacogenetics stakeholders.
Stable Isotope Clues to the Formation and Evolution of Refrozen Melt Ponds on Arctic Sea Ice

Author Posting. © American Geophysical Union, 2018. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Journal of Geophysical Research-Oceans 123(12), (2018): 8887-8901, doi:10.1029/2018JC013797.
Faithful to Life

This essay explores how Luce Irigaray’s approach to the origins and transcendent destiny of human being and becoming expands the interrelated theological mysteries of incarnation and grace. The invitation to be faithful to life through embodied eros promises the transformation of persons and structures (religious, political and cultural) as it promotes relational fulfillment and the cultivation of life for all living beings. My argument considers the event and process of incarnation presented in To Be Born; explores the dynamics of embodied grace in Irigaray’s reading of the Marian symbol; and exposes the revelatory power of breath, word, and flesh for the evolution of a new humanity. It affirms Irigaray’s approach to the value of sexuation in ways that speak the transcendence of human beings and challenge us to fidelity to the absolute of Life itself.
Mortality Risk in IgA Nephropathy.

IgA nephropathy (IgAN) is a common form of primary GN known to affect about 200,000–350,000 persons per year globally,[1][1] most frequently in Asia and least frequently in Africa.[2][2] Presently, the diagnosis of IgAN is established only by kidney biopsy and immunofluorescence microscopy;
Normal Variants Are Commonly Overread as Interictal Epileptiform Abnormalities

Electroencephalographers may misclassify benign variant EEG patterns as epileptiform discharges, resulting in delays in the diagnosis and appropriate treatment of other paroxysmal disorders, such as psychogenic nonepileptic seizures, anxiety/panic disorders, and near syncope. These benign variant patterns include wicket spikes, small sharp spikes, and rhythmic mid-temporal theta of drowsiness. Cautious interpretations of semi-rhythmic sharp transients, usually gradually rising from the EEG background in drowsiness, can help avoid misdiagnosing patients as having seizures. Viewing the EEG as confirmatory for a clear clinical diagnosis is also helpful-elderly patients with syncope, for example, often have microvascular disease and EEG wicket rhythms in drowsiness-a careful review of the clinical history and the paroxysmal EEG pattern usually help distinguish normal variant patterns from interictal sharp waves and spikes and avoid misdiagnosing epilepsy.
WAVED: A Coreless Axial Flux PM Motor for Drive Systems with Constant Power Operation

In this paper, a two-phase coreless AFPM machine with wave winding, 2-stators, and 3-rotors for traction applications is studied. A highly general optimization method, employing 3D FEA as the computational engine is employed. Number of poles in addition to other geometrical variables are included as independent optimization variables. A method for extending the speed range by rotating one of the stator discs with respect to the other at constant power operation is proposed. An inverter configuration including Si and wide band gap devices is proposed to be employed in conjunction with the machine under study. The study includes a comparison of the optimally designed coreless machine with a commercial yokeless and segmented armature electric motor.
Head and neck free flap survival when requiring interposition vein grafting: A multi-instiutional review

Abstract Objective Interposition vein grafting in free flap reconstruction is often viewed as a risky procedure, but is necessary in cases of inadequate pedicle length. Materials and methods Two tertiary care centers retrospectively.reviewed 3008 head and neck free flap reconstructions from 2008 to 2017 91 patients were identified requiring interposition vein grafting during reconstruction. Pre and perioperative characteristics were recorded Univariate and multivariate analyses were conducted with a p value Results Of the 91 patients 75% had undergone reconstruction for cancer, 66% of these cases were in the setting of recurrence or complication, 33% had a previous free flap, and 52% had prior radiation therapy. Surgical site was primarily craniofacial (36%) or oral cavity (26%). The majority of vein grafts were saphenous (64%), average graft length 18 cm (SD 11 cm). Half were used for both artery and vein anastomosis. Flap survival was 85% overall and only prior free flap was predictive of failure on multivariate analysis. No other peri-operative or graft variable assessed in this study were predictive of flap failure. Conclusion In a multi-institutional study of head and neck free flap reconstructions using interposition vein grafts, we identified an overall 85% success rate with no significant difference between soft tissue and osteocutaneous flaps despite the complicated nature of these cases.
Can Providing Comfort to Clients Prevent Caregiver Burnout? A Field Study of Human-Service Workers' Compassionate Communication

This pilot study explores compassionate communication in a human-services context using the empathic communication model of burnout (ECM). Specifically, the study explores comforting skills within the theoretical framework of the ECM to observe similarities to communicative responsiveness. The participants (N=42) work as caregivers in a small, non-profit human-services organization, and responded by questionnaire. Results suggest that the ECM can be used to understand compassion in the context of a human-services organization. Moreover, the results can be used to develop specific interventions to enhance caregiver comforting skills and reduce levels of staff burnout.
Residential Load Identification Based on Load Profile using Artificial Neural Network (ANN)

Residential load identification is important for homeowners who wish to optimize their electricity usage. If residential loads are identified correctly, the homeowners may use this information to manage their electricity usage and thus can result in annual cost savings. This paper outlines a method to identify residential load types using an artificial neural network (ANN) with eight selective input features. ANN models with different combinations of layers and neurons were tested with three activation functions - Sigmoid, Exponential Linear Unit (ELU), and Rectified Linear Unit (ReLU). The trained ANN models were then used to identify four residential load types - 1) Dishwasher, 2) Refrigerator, 3) Furnace, and 4) Stove. The performance of these models were evaluated using metrics such as Mean Absolute Percentage Error (MAPE) and Root Mean Squared Error (RMSE). Initial findings indicate that the ANN model was able to identify two loads correctly such as stove and dishwasher, but unable to differentiate between the refrigerator and furnace loads.
Entanglement of microwave-optical modes in a strongly coupled electro-optomechanical system

Quantum transduction between microwaves and optics can be realized by quantum teleportation if given reliable microwave-optical entanglement, namely, entanglement-based quantum transduction. To realize this protocol, an entangled source with a high fidelity between the two frequencies is necessary. In this paper, we study microwave and optical entanglement generation based on a generic cavity electro-optomechanical system in the strong coupling regime. Splittings are shown in the microwave and optical output spectra and the frequency entanglement between the two modes is quantified. We show that entanglement can be straightforwardly encoded in the frequency-bin degree of freedom and propose a feasible experiment to verify entangled photon pairs. The experimental implementation is systematically analyzed, and the preferable parameter regime for entanglement verification is identified. An inequality is given as a criterion for good entanglement verification with analysis of practical imperfections.
Separation of Lithium and Cobalt from LiCoO2: A Unique Critical Metals Recovery Process Utilizing Oxalate Chemistry

The demand for lithium-ion batteries (LiBs) is significantly increasing leading to a shortage in supply for critical metals, such as lithium and cobalt. Recycling LiCoO2 cathodes can provide a seco...
Dialectical behavior therapy in college counseling centers

Abstract College student mental health is a pressing public health concern, with suicide persisting as one of the top causes of student death. At the same time, college counseling centers (CCCs) are tasked with serving increasing numbers of students with mental health concerns, often overwhelming their scarce staff and resources. One strategy to manage some of the most severe and pressing mental health needs on campus is dialectical behavior therapy (DBT). Though DBT is a time- and resource-intensive treatment, much of the research related to DBT in CCCs has focused on tailoring the treatment to this unique practice setting, including offering select components of the overall treatment model. In this chapter, we review the available literature related to DBT in CCCs, beginning first with research related to comprehensive DBT in CCCs, continuing to versions of DBT in CCCs focused on skills training only, and finally, DBT in CCCs for new populations of students not typically of focus in DBT research (e.g., test anxiety, attention deficit hyperactivity disorder). We conclude with a discussion of recommendations for future research and emerging trends in the field of DBT research related to college student well-being.
Gearing Up for the Future of Exercise

BackgroundExergames—which combine physical activity with elements of virtual interaction (e.g., “cyber-cycling”)—come in a wide range of styles and with an array of structural and environmental cha...
Toward a more inclusive history: Diving deeper in social studies classrooms

In May of 2020, the death of George Floyd—a Black man killed by a White police officer on Memorial Day in Minneapolis, Minnesota—brought worldwide attention to what we know, and do not know, about ...
Trends in Diagnosis and Disparities in Initial Management of High-Risk Prostate Cancer in the US.

This retrospective study uses data from the National Cancer Database of new cancer diagnoses across the US to examine trends in proportional diagnosis rates and management of patients with high-risk prostate cancer.
Nano-pulsed laser therapy of abnormal hippocampal neurogenesis after traumatic brain injury

Recently we proposed to use optoacoustic therapy/Nano-Pulse Laser Therapy-NPLT and tested it in rats with traumatic brain injury (TBI). In this study we used an optoacoustic system operating at 808 nm and demonstrated that NPLT prevented TBI-induced upregulation of specific microRNAs (miRNAs) in NSC and significantly decreased TBI-induced impaired maturation and abnormal migration of neural progenitors. Moreover, NPLT-treated injured rats performed significantly better in hippocampus-dependent cognitive tests than did sham rats. Our results strongly suggest that NPLT has the potential to be an effective tool for the treatment of TBI-induced cognitive dysfunction and dysregulation of neurogenesis.
A completely parameter-free method for graph-based single cell RNA-seq clustering

Single-cell RNA sequencing (scRNAseq) offers an unprecedented potential for scrutinizing complex biological systems at single cell resolution. One of the most important applications of scRNAseq is to cluster cells into groups of similar expression profiles, which allows unsupervised identification of novel cell subtypes. While many clustering algorithms have been tested towards this goal, graph-based algorithms appear to be the most effective, due to their ability to accommodate the sparsity of the data, as well as the complex topology of the cell population. An integral part of almost all such clustering methods is the construction of a k-nearest-neighbor (KNN) network, and the choice of k, implicitly or explicitly, can have a profound impact on the density distribution of the graph and the structure of the resulting clusters, as well as the resolution of clusters that one can successfully identify from the data. In this work, we propose a fairly simple but robust approach to estimate the best k for constructing the KNN graph while simultaneously identifying the optimal clustering structure from the graph. Our method, named scQcut, employs a topology-based criterion to guide the construction of KNN graph, and then applies an efficient modularity-based community discovery algorithm to predict robust cell clusters. The results obtained from applying scQcut on a large number of real and synthetic datasets demonstrated that scQcut --which does not require any user-tuned parameters--outperformed several popular state-of-the-art clustering methods in terms of clustering accuracy and the ability to correctly identify rare cell types. The promising results indicate that an accurate approximation of the parameter k, which determines the topology of the network, is a crucial element of a successful graph-based clustering method to recover the final community structure of the cell population. AvailabilityScQcut is written in both Matlab and Python and maybe be accessed through the links below. Matlab version: cs.utsa.edu/ jruan/scQcut Python version: https://github.com/mary77/scQcut ContactJianhua.ruan@utsa.edu
Dynamic modeling for vapor compression systems—Part I: Literature review

This two-part article provides an introduction to dynamic modeling for vapor compression systems. Part I provides a detailed review of current literature in this area. Both physics- and data-based approaches are discussed with their associated advantages and limitations. Physics-based modeling paradigms include (1) lumped parameter approaches that qualitatively capture gross pressure and cooling transients, (2) moving boundary approaches that seek to model the dynamic variations in phase transition points, and (3) finite-control volume approaches that use discretized models that include temperature and parameter gradients in an effort to achieve greater accuracy. These models are based on first principles, but yet require time-consuming tuning and validation with experimental data. Data-based approaches offer faster model generation but are specific to the system and conditions from which the data originated.
Mars Exploration Rover mobility and robotic arm operational performance

Increased attention has been focused in recent years on human-machine systems, how they are architected, and how they should operate. The purpose of this paper is to describe an actual instance of a practical human-robot system used on a NASA Mars rover mission that has been underway since January 2004 involving daily interaction between humans on Earth and mobile robots on Mars. The emphasis is on the human-robot collaborative arrangement and the performance enabled by mobility and robotic arm software functionality during the first 90 days of the mission. Mobile traverse distance, accuracy, and rate as well as robotic arm operational accuracy achieved by the system is presented.
Adaptive Feedback Control of Linear Stochastic Systems

We consider adaptive control of linear stochastic systems, i.e., the control of unknown linear systems subject to stochastic disturbances whose spectra are also Unknown. We examine the basic convergence issues, including the convergence of adaptive controllers and parameter estimates as well as the convergence of input and output. Despite over a decade of effort, previous works in this area are very much fragmented. Relatively complete convergence results are available only for adaptive minimum variance control of unit delay systems. In this paper we propose the generalized certainty equivalence approach to stochastic adaptive control, where the estimates of disturbance innovations as well as parameter estimates are utilized. Based on this, the self-optimality of adaptive minimum variance controllers using an indirect approach and the stochastic gradient algorithm is established for general delay systems. Then we show that the self-optimality implies the self-tuning of adaptive controllers in general, by exhibiting the convergence of the parameter estimates to the null space of a certain covariance matrix and by characterizing the null space. The role of the system disturbance in providing an "internal excitation" is delineated. Finally we determine the exact order of external excitation required in order for the parameter estimates to converge to the true parameter.
Eye Tracking: A Rich Source of Information for User Modeling

This presentation focuses on two aspects of eye-tracking research: using point-of-gaze information to look at shifts in attention and using changes in pupil diameter to know when cognitive demands occur. Both aspects are immediately important in cognitive modeling because as modelers, we want to understand as much as we can about individuals’ underlying cognitive processes. Eye tracking yields very precise behavioral and physiological data that contribute to our understanding.
Predicting the Path to Recovery from Hurricane Katrina through the Lens of Hurricane Andrew and the Rodney King Riots

Hurricane Katrina caused the greatest damage of any hurricane in American history. We look at the rebuilding effort in New Orleans through the lens of two other disasters that occurred in 1992: Hurricane Andrew in Miami and the Rodney King riots in Los Angeles. The rebuilding effort in New Orleans shares similarities with both events, combining the impact of a hurricane on infrastructure and private businesses, and the prospect of an uneven recovery biased against racial minorities and the economically disadvantaged. Using the experience of the King riots, our concern is that the rebuilding effort will be modest at best in poorer areas and slow to develop. There is the prospect of long lasting negative effects on income in poor neighborhoods. In wealthier areas, the pecuniary incentive for private business and citizens to rebuild is stronger, and in some cases the rebuilding effort can cause net income gains in response to a natural disaster of the scale of Hurricane Andrew. Based on these events, we recommend targeting a disproportionate amount of federal transfers towards poorer areas to stimulate growth.
Future Scientific Programming on Parallel Machines

A language for large scientific applications should facilitate both the encoding and debugging of programs at the highest level possible, and the generation of efficient code for parallel machines. Often these two requirements cannot coexist, and trade-offs must be made. Functional and other declarative languages offer relief on both counts. The use of higherorder functions, especially in curried forms, can raise the level of programming dramatically. In addition, such languages often have straightforward operational semantics which admits tremendous opportunities for parallel execution. Programs in declarative languages thus eliminate the problem of "detecting parallelism". This paper illustrates programming in one such language, Id Nouveau, and contrasts it with programming in Fortran. Using an excerpt from an application known as SIMPLE, it is shown how a program can be composed in Id Nouveau from small functions that directly relate to the mathematical and physical concepts of the problem. The difficulty of expressing these concepts in Fortran is discussed. Finally, it is shown that by performing simple transformations, such as in-line substitution of functions, the resulting Id Nouveau code becomes as efficient as an equivalent Fortran program written to run efficiently on a parallel machine.
Gathering Evidence for Distance Education

A technology for evaluating computer-based distance education curricula for children and people working with children is described. The technology originated from a model of evaluation described by Markle (1967). The components were elaborated through data-based decisions reported in technical reports for a reading acquisition program, two math programs, a curriculum for people with autism, and a professional development program for clinicians working with children and adolescents. The article integrates single-case and group evaluation strategies, and draws attention to the need for better data in evidence-based decisions, and the use of data in continuous improvement efforts. Details concerning the individual learner at the developmental level of evaluation are emphasized, including an illustration of an e-learning rubric assisting this level of evaluation.
Tumor angiogenesis 2012

It has been more than 40 years since the initial prospect emerged that tumor angiogenesis could be targeted for cancer therapy. This proposal was based on the very simple observation that tumors are capable of stimulating new vascularization. Later the concept of an angiogenic switch was proposed; where cancer cells evolve from a dormant state into angiogenic phenotype attracting blood vessels growth and invading neighboring and distant sites. Since Folkman's landmark observations [1] a more complex picture of angiogenesis has emerged replete with a complex tumor microenvironment and interactions with multiple cell types within the tumor. Numerous anti angiogenic agents were developed successfully for the treatment of renal cell carcinoma, lung cancer, breast cancer, brain tumors, and colorectal carcinoma, but resistance to these therapies soon emerged. This stimulated additional research that led to the better understanding of the very complex interaction of tumor angiogenesis and the tumor microenvironment responsible for the lack of lasting response to angiogenesis targeted therapy. In this issue of Tumor Angiogenesis, several review papers discuss the current status of our understanding of and therapy for ovarian carcinoma, head, and neck cancer, melanoma, glioma, and leukemia (papers by A. Amini et al., C. Carla et al., U. Adamcic et al., K. Shirai et al., S. R. Choudhury et al., and A. Trujillo et al.) The role of pericytes by E. Fakhrejahani and M. Toi T. Duong et al.'s contribution on the role of lymphangiogenesis enhance the spectrum of different cellular and structural components contributing to cancer progression and metastases. The most novel contribution emerges from the role of external stimuli in the promotion of angiogenesis. Diet as a modifier of tumor angiogenesis by W. W. Li et al. and I. Urits et al., substantiates the role of external control of microenvironment by diet, which is complemented by the observations of K. Luk et al. on pericyte-endothelial interaction influenced by morphine generally used to treat severe pain in patients with cancer. Insights into newer signaling pathways such as, PTEN (S. Rodriguez, and U. Huynh-Do), c-Kit (K. Rupertus et al.) and transcription factor FoxC2 (T. Kume) provide an understanding of yet to be conquered targets to efficiently treat cancer. Additionally, imaging techniques for tumor angiogenesis discussed by K. Tanaka et al. also offer novel approaches to understand tumor angiogenesis. The interaction between tumor vasculature and the microenvironment is reviewed by E. Fakhrejahani, M. Toi, K. Rupertus et al., and S. Niland et al., and inflammation and cancer is examined by J. I. Arias et al. These publications provide an up to date comprehensive state of research on tumor angiogenesis. We therefore hope that this issue will help the readers understand the underlying complex biology and challenges in developing successful antiangiogenic therapy. Arkadiusz Z. Dudek Kalpna Gupta Sundaram Ramakrishnan Debabrata Mukhopadhyay