cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Compliance with rules and future uncertainty related to the Covid19 pandemic: trust in government, trust in science, and perceived threat.
Creators: name: Riverso, Roberta
name: Amato, Mario
name: Verneau, Fabio
name: La Barbera, Francesco
Publisher: name: Psychology Hub
Year: 2022

description: During a pandemic, a high level of compliance by citizens with prevention guidelines provided by the Government and scientists is important in order to slow the spread of the virus; nevertheless, there is evidence of people ignoring Government’s and scientists’ recommendation all over the world. In addition, the COVID-19 outbreak, and the mitigating measures as well, have had huge negative effects on citizens’ everyday life, including confinement, separation of families and friends, restriction of movement and personal freedom. These factors, together with the unpredictable duration and likelihood of resurgence of the pandemic, contribute to future uncertainty. The aim of current research is to contribute to the understanding of citizens’ compliance with rules and future uncertainty related to the COVID-19 pandemic. We explored the relations—scarcely investigated so far—of compliance with rules and future uncertainty with three possible antecedents: trust in Government, trust in scientists, and perceived threat. In addition, regarding the last factor, two dimensions have been distinguished, namely perceived seriousness and perceived probability of the threat. Results suggest that compliance is positively associated with trust in Government, whereas future uncertainty is negatively correlated with trust in scientists. Perceived threat correlates with both compliance and uncertainty, and the association with perceived seriousness is larger than with perceived probability.
description: Psychology Hub, Vol. 39 No. 2 (2022)
title: Die Küste, 81, Modelling (2014), Models of Coastal Waters in Germany – Performance and Application Examples
Creators: name: Kuratorium für Forschung im Küsteningenieurwesen
Publisher: name: Kuratorium für Forschung im Küsteningeneiurwesen (Ed.) via Bundesanstalt für Wasserbau
Year: 2014
Subjects: Deutschland
German coastal zone
Hydro Engineering
Hydroscience
ICHE2014
Küstengewässer
Modellierung

description: This publication is a contribution to ICHE 2014, the 11th International Conference on Hydroscience and Engineering. “Hydro-Engineering for Environmental Challenges” will be the topic with which the international scientific and professional water-related community assembled at the conference will discuss in Hamburg. In general “hydroengineering” is regarded as the science and the associated technology of water management, the management of natural systems and of resources influenced by water-related processes. Demand for the design and development of technical and environmental measures for marine, coastal and estuarine systems has been growing worldwide, with a view to meeting and mastering present and future economic needs and environmental challenges. In the recent past, this growing demand has meant that there has also been an increasing need for work on fundamental hydraulic principles, data driven methods, process-oriented computer models and numerical techniques as well as on practical applications. Germany is no exception in this respect. This publication focuses on current research topics relating to the German coastal zone.
Overall survival in myelofibrosis treated with allogeneic hematopoietic cell transplant is impacted by reversal of marrow fibrosis: a single institution experience from Oregon Health & Science University
Creators: name: Gutierrez, Anthony
name: Gandhi, Arpita, MD
name: Kaempf, Andy,  MS
name: Saultz, Jennifer N.
name: Xie, Wei, MD
name: Cook, Rachel, MD
name: Migdady, Yazan, MD
name: Schachter, Levanto
name: Slater, Susan
name: Meyers, Gabrielle, MD
name: Maziarz, Richard T.,  MD
Publisher: name: Oregon Health and Science University
Year: 2023
Subjects: subject: Molecular Biology
subject: Cell Biology
subject: Primary Myelofibrosis
subject: Cell Transplantation
subject: Bone Marrow
subject: Cellular and Molecular Biology
subject: Cancer Biology
subject: Allogeneic
subject: Bone Marrow Diseases
subject: Allogeneic Stem Cell Transplantation

description: Allogeneic hematopoietic cell transplantation (allo HCT) is the only curative therapy for patients with intermediate-2 or high risk myelofibrosis (MF). We sought to examine the impact of pre-HCT splenomegaly, splenic RT, and marrow fibrosis on overall survival (OS). Subjects with primary or secondary MF who underwent allo HCT using matched related (n=10) or unrelated (n=24) donor grafts, PBSC (n=33) or marrow (n=1), between 2005 and 2021 were identified. Median follow-up was estimated by reverse Kaplan-Meier (KM). Marrow fibrosis regression (defined as any decrease in grade) and GVHD were considered time-varying predictors. Time-to-engraftment and OS were modeled by Cox regression, while post-HCT death rates were estimated via the extended KM method. Logistic regression was used to model fibrosis regression by a specified time point. Our data on engraftment, GVHD, and survival are comparable to that reported by the CIBMTR with this analysis demonstrating a strong correlation between aGVHD, lack of marrow fibrosis regression, and increased risk of death. Novel strategies, such as the use of peri-HCT JAK inhibition and T cell depletion (in-and ex-vivo), may provide rapid marrow remodeling and improve OS in MF patients.
Perceived stress, coping strategies and emotions pre- and post-COVID-19 vaccination in university healthcare students
Creators: name: Savarese, Giulia
name: Carpinelli, Luna
name: De Caro, Francesco
name: Oro, Rosa
name: Calabrese, Maria Consiglia
name: Pacifico, Antonietta
name: Santoro, Emanuela
name: Boccia, Giovanni
name: Motta, Oriana
name: Capunzo, Mario
name: Moccia, Giuseppina
Publisher: name: Psychology Hub
Year: 2022

description: Background As a consequence of the impact of the COVID-19 pandemic, many studies have identified differences in attitude towards vaccination by university students. The aim of the present study was to investigate various psychological, emotional and behavioral responses influenced by the administration of the COVID-19 vaccine in a sample of university students in healthcare professions. Method An ad hoc questionnaire was created and made available through the Google Modules platform. The questionnaire consisted of the following: a) the Perceived Stress Scale (PSS-10) measuring the degree to which situations in a person's life can be evaluated as stressful, unpredictable, uncontrollable or overloaded; b) the Brief Coping Orientation to the Problems Experienced (Brief COPE) inventory to measure effective and ineffective ways of coping with a stressful life event; and c) seven questions created ad hoc that investigated emotions and moods pre- and post-vaccination. Participants A total of 344 students from the following faculties participated in the study: medicine and surgery (37.5%), nursing (32.8%), obstetrics (15.4%) and physiotherapy (14.2%) at the University of Salerno, Italy. Results In relation to the time of vaccination, 56.7% of the sample showed a moderate level of stress. Many students used emotion-focused and avoidant coping. Females were found to have implemented avoidance strategies more often than males. Conclusions In the pre-vaccination analysis, it is interesting to note that "fear" was the emotion most experienced by the students, as this is the primary emotion characterized by the use of avoidance strategies for survival. Furthermore, the words "hope" and "vaccination" were most often recorded in the post-vaccination phase with correspondingly positive headwords such as: colleague, start, day, result, emotion and able to. This association shows the students' ability to adapt and be resilient through change, and conveys that self-perception is important.
description: Psychology Hub, Vol. 39 No. 2 (2022)
A novel method of generating tunable underlying network topologies for social simulation
Creators: name: Varga, Imre
name: Németh, András
name: Kocsis, Gergely
Publisher: name: arXiv
Year: 2014
Subjects: subject: Social and Information Networks (cs.SI)
subject: Physics and Society (physics.soc-ph)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: We propose a method of generating different scale-free networks, which has several input parameters in order to adjust the structure, so that they can serve as a basis for computer simulation of real-world phenomena. The topological structure of these networks was studied to determine what kind of networks can be produced and how can we give the appropriate values of parameters to get a desired structure.
description: Originally presented at the 2013 IEEE 4th International Conference on Cognitive Infocommunications (CogInfoCom)
Im »Blickfeld«: Hamburger Traditionen und die Kunstwissenschaft der Moderne. Zur neuen Publikationsreihe der Hamburger Kunsthalle
Creators: name: Hoormann, Anne
Publisher: name: kritische berichte - Zeitschrift für Kunst- und Kulturwissenschaften
Year: 2013

description: kritische berichte - Zeitschrift für Kunst- und Kulturwissenschaften, Bd. 25 Nr. 2 (1997): kritische berichte
Effects of bacteria lipopolysaccharides on the activation and activity of coagulation factor XII
Creators: name: Lira Da Silva, Andre
Publisher: name: Oregon Health and Science University
Year: 2023
Subjects: subject: Biochemistry
subject: Biophysics
subject: Factor XII
subject: Bacteria
subject: Lipopolysaccharides
subject: Coagulation
subject: Hageman Factor
subject: Blood Clotting

description: Background: Lipopolysaccharide (LPS), the major outer wall component of Gram-negative bacteria, plays a critical role in the pathogenesis of sepsis and are known to contribute to the development of disseminated intravascular coagulation (DIC) syndrome. Since LPS aggregates are negatively charged, we hypothesized that LPS may directly interact with and activate the contact pathway coagulation factor (F) XII as part of the pathogenesis of DIC. Aims: To investigate the mechanisms of interaction and activation of FXII by LPS chemotypes. Methods: The physicochemical properties of different LPS chemotypes were determined by dynamic light scattering, zeta potential (ZP), and fluorescence spectroscopy. Fluorescence spectroscopy were employed to study the interaction of LPS with FXII. FXII autoactivation and FXIIa activity were measured using a chromogenic assay. Results: The LPSs O111:B4, O26:B6, and Rd2 produced aggregates with hydrodynamic diameters of 123, 213, and 201nm; and ZP of −0.414, −23.0, and −55.0 mV, respectively. Intrinsic tryptophan fluorescence experiments demonstrate similar quenching of FXII in the presence of LPSs which similar apparent binding affinity (KDapp) of 0.206, 0.304, 0.3391 μM, respectively. We observed a red-shift of Δλ ~ 13nm in the emission of FXII in the presence of O26:B6, suggesting a modification in the secondary structure. FXII was not activated by O111:B4 and Rd2, while it was more efficiently activated by O26:B6. O26:B6 showed a bell-shaped dose-response curve, suggesting a template mechanism of autoactivation. The amidolytic activity of FXIIa was not affected by O111:B4, but FXIIa activity was increased in the presence of Rd2 or O26:B6, suggesting a positive allosteric modulation. However, higher concentrations of O26:B6 decreased FXIIa activity, suggestive of protein structural modifications. Conclusions: Select chemotypes of LPS have differential impacts on the structure and function of FXII, providing a mechanism-of-action for LPS in initiating DIC via the contact pathway of coagulation.
Applying user-centered design in the development of an ICU triage intervention for patients presenting to the emergency department with acute respiratory failure
Creators: name: Young, Allison
name: Golden, Sara
name: Warner, Scott, MD
name: Tuepker, Anaïs
name: Slatore, Christopher
name: Vranas, Kelly
Publisher: name: Oregon Health and Science University
Year: 2023
Subjects: subject: Health Services
subject: User-Centered Design
subject: Triage
subject: Clinical and Systems Science
subject: Acute Respiratory Failure
subject: Healthcare Delivery Intervention
subject: ICU utilization
subject: Critical Care
subject: ICU Admission Criteria

description: Background: Substantial variability exists in the use of critical care for patients with acute respiratory failure (ARF), suggesting a knowledge gap about when and how to best use the ICU. User-centered design (UCD) methodology- a systematic approach that prioritizes the needs of service end-users and involves multidisciplinary teams to develop and rapidly iterate novel, feasible solutions- is a potential approach to develop innovative care delivery processes that improve the quality and efficiency of care for patients with ARF. Methods: At a single VA medical center, investigators created a stakeholder taskforce including physicians, nurses, and respiratory therapists (RTs) serving in clinical and administrative roles across the emergency department (ED), ICU, and acute care wards. Through a series of four meetings, we applied UCD to create a process map depicting the current process of triage for ARF patients, identify barriers and facilitators to the delivery of safe and efficient care, and develop a system-level intervention to guide ICU utilization for ARF patients. Investigators used inductive thematic analyses for qualitative analyses between meetings. Results: The taskforce included ten participants (four nurses, four physicians, and two RTs). We identified three domains of hospital-level factors that influence ICU admitting decisions for patients with ARF: (1) hospital structure and organization; (2) available resources; and (3) staff interactions. These results informed the creation of a system-level intervention that includes: a) creating explicit ICU admission criteria and assigning levels of care to patients based on their clinical needs at the time of admission; b) geographically cohorting patients with shared needs; and c) re-engineering rapid response teams to proactively follow borderline patients outside the ICU. Conclusion: UCD is a promising methodology to develop innovative interventions designed to improve the quality and efficiency of the critical care delivery system for patients with ARF.
The social pandemic from SARS-CoV-2 among Italian university students: a pilot study
Creators: name: Russo, Claudio
name: Giordano, Giuseppe
name: Marsico, Giuseppina
Publisher: name: Psychology Hub
Year: 2022

description: The impact of restrictions on movement resulting from the SARS-CoV-2 pandemic may contribute to a disruption of mental health in young people during this era. In March 2021, lockdown restrictions were enforcing national policies of tackling the infectious disease across the globe. In the early stages of the vaccination rollout, public enquires on confidence to endure the virus pandemic have shown high levels of psychological distress. Under the above circumstances, 333 university students were asked to fill in an online-based survey on alcohol consumption, compulsive behavior as a loss of control over eating, fear of weight changes, excessive sleepiness and sleep deprivation. Text mining and multiple correspondence analysis were employed to analyze qualitative data on the lived experience against the occurrence of health-related behaviors. Data analyses have showed that the pandemic was associated with a mixed breakup of clustered lemmas based on sex, age, and relationship status. The extent to which the participants have reported a lower degree of satisfaction on living arrangements, intimate and family relationships were interpreted as meaningfully related with a more negative lived experience. Social confinement has resulted as an immediate action for mitigating a public health crisis from the SARS-CoV-2 disease. Incidentally, social measures to mitigate the virus transmission have sought to protect internal collapse of the health care systems by reducing the number of casualties. Conversely, these findings provide new evidence on the social determinants of health among youth and consequently highlight the potential interference from missing social interactions in the COVID-19 pandemic response
description: Psychology Hub, Vol. 39 No. 1 (2022): Special Issue Effect of Covid-19 pandemic: vulnerability and resources. Part 2
title: An Wien; [1848]
title: Der politische Himmel ist düster, die Luft ist drückend schwül. Wiens Freiheitsgluth ist verraucht, und Terrorismus ist die Losen des Tage. Die Blüthe unserer Revolution, die Demokratie liegt verwelkt darnieder, ... : Kommt heran feige Henker! wir erwarten euch ... : Wien, am 30. August 1848
titleType: Subtitle
Creators: name: Gritzner, Maximilian Joseph
Publisher: name: Universitätsbibliothek der Ludwig-Maximilians-Universität München
Year: 2018

description: Kopftitel
Psychological factors predicting social distance during the COVID-19 pandemic: an empirical investigation
Creators: name: Lo Destro, Calogero
Publisher: name: Psychology Hub
Year: 2022

description: Numerous nations around the world are facing exceptional challenges in employing measures to stop the spread of COVID-19. Following the recommendations of the World Health Organization, a series of preventive measure have been adopted. However, individuals must comply with these rules and recommendations in order to make such measures effective. While COVID-19 was climaxing, it seemed of crucial importance to analyze which psychosocial factors contribute to the acceptance of preventive behavior, thus favoring the management of COVID-19 worldwide health crisis. In particular, the identification of aspects related to obstacles and facilitations of adherence to social distancing has been considered as crucial in the containment of the virus spread. We hypothesized social distance could be influenced by individual psychological differences and target’s characteristics. Specifically, since the virus was firstly detected in China, we assumed Asian people could be considered a relevant outgroup targeted for exclusion. 260 participants participated in this research on a voluntary basis. They filled a survey designed to explore a series of COVID-19 measures (such as exposure to virus and fear of infection). Participants’ state and trait anxiety was also assessed. The dependent variable was social distance, based on a measure of seating distance, designed ad hoc for the present study. Our hypothesis that participants could reports greater distance in response to Asian people was not confirmed. On the other hand, significantly lower distance in response to smiling compared to coughing targets was displayed. Finally, adopting a regression analysis model, we found that participants’ social distance, in response to both coughing and smiling targets was predicted by fear of infection and by the perception COVID-19 could become a pandemic. Social distance in response to coughing target was also significantly and positively predicted by age and state anxiety. In summary, the present work has sought to identify a set of psychological variables, which may still be relevant in predicting social distancing.
description: Psychology Hub, Vol. 39 No. 1 (2022): Special Issue Effect of Covid-19 pandemic: vulnerability and resources. Part 2
How to: multiple animal pose-estimation of socially interacting prairie voles
Creators: name: Milman, Noah
name: Soares, Lezio B.
name: Ruffins, Matthias
name: Tinsley, Carolyn
name: Wickham, Peyton
Publisher: name: Oregon Health and Science University
Year: 2023
Subjects: subject: Computational Biology
subject: Neurosciences
subject: FOS: Clinical medicine
subject: Machine Learning
subject: Sleep
subject: SLEAP
subject: Computational Ethology
subject: Huddling
subject: ELSD
subject: Prairie Vole
subject: Deep Learning
subject: Social Investigation
subject: Animal Behavior Paradigms
subject: Partner Preference Testing

description: Early life sleep disruption (ELSD) from P14-P21 in the socially monogamous prairie vole impacts adult social behavior (Jones et al, 2019). The use of automated tools to study animal behavior is called computational neuroethology (Datta et al, 2019). One primary tool is “deep learning” which requires a sequence of neural networks to learn information from the image and make predictions on other frames (Mathis and Mathis, 2020). In the context of studying social behavior among multiple animals, the neural networks predict pose by finding individual parts of each animal. Recent work from our group extended earlier findings with pose-estimation of two cohabitating prairie voles separated by a mesh-divider (Bueno-Soares Jr, 2023). One primary limitation of the study is that the animals had to be physically separated for the program to accurately identify pose. Here, we demonstrate the functionality and use-cases of a new, more precise analysis pipeline, SLEAP (Social LEAP Estimates Animal Pose), that enables identification of pose from 2+ animals in the same space (Pereira et al, 2022). This particular program was chosen based on its advanced performance in identifying multiple animals across time. We report the required steps within the SLEAP GUI (Graphical User Interface) from training the algorithm with manual labels, evaluating model performance and correct identification errors. Moreover, we transform the data output from SLEAP to analyze two behavioral paradigms (social investigation and partner preference testing). Application of SLEAP in a diversity of animal behavioral paradigms will improve research productivity and reproducibility.
The story of Seyfert galaxy RE J2248-511: from intriguingly ultrasoft to unremarkably average
Creators: name: Starling, Rhaana
name: Done, C.
name: Jin, C.
name: Romero-Colmenero, E.
name: Potter, S.
name: Wiersema, K.
name: Page, K.
name: Page, M.
name: Breeveld, A.
name: Lobban, A.
Publisher: name: arXiv
Year: 2013
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: RE J2248-511 is one of only 14 non-blazar AGN detected in the far ultraviolet by the ROSAT Wide Field Camera implying a large ultrasoft X-ray flux. This soft X-ray excess is strongly variable on year timescales, a common property of Narrow Line Seyfert 1s, yet its optical linewidths classify this source as a broad-lined Seyfert 1. We use four nearly simultaneous optical--X-ray SEDs spanning 7 years to study the spectral shape and long term variability of RE J2248-511. Here we show that the continuum SED for the brightest epoch dataset is consistent with the mean SED of a standard quasar, and matches well to that from an XMM-SDSS sample of AGN with ~ 10^8 and ~ 0.2. All the correlated optical and soft X-ray variability can be due entirely to a major absorption event. The only remarkable aspect of this AGN is that there is no measurable intrinsic X-ray absorption column in the brightest epoch dataset. The observed FUV flux is determined by the combination of this and the fact that the source lies within a local absorption `hole'. RE J2248-511, whose variable, ultrasoft X-ray flux once challenged its BLS1 classification, demonstrates that characterisation of such objects requires multi-epoch, multi-wavelength campaigns.
description: 11 pages, 9 figures. Accepted for publication in MNRAS
Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular Systems
Creators: name: Alkhateeb, Ahmed
name: Ayach, Omar El
name: Leus, Geert
name: Heath, Robert W.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Information Theory (cs.IT)
subject: FOS: Computer and information sciences

description: Millimeter wave (mmWave) cellular systems will enable gigabit-per-second data rates thanks to the large bandwidth available at mmWave frequencies. To realize sufficient link margin, mmWave systems will employ directional beamforming with large antenna arrays at both the transmitter and receiver. Due to the high cost and power consumption of gigasample mixed-signal devices, mmWave precoding will likely be divided among the analog and digital domains. The large number of antennas and the presence of analog beamforming requires the development of mmWave-specific channel estimation and precoding algorithms. This paper develops an adaptive algorithm to estimate the mmWave channel parameters that exploits the poor scattering nature of the channel. To enable the efficient operation of this algorithm, a novel hierarchical multi-resolution codebook is designed to construct training beamforming vectors with different beamwidths. For single-path channels, an upper bound on the estimation error probability using the proposed algorithm is derived, and some insights into the efficient allocation of the training power among the adaptive stages of the algorithm are obtained. The adaptive channel estimation algorithm is then extended to the multi-path case relying on the sparse nature of the channel. Using the estimated channel, this paper proposes a new hybrid analog/digital precoding algorithm that overcomes the hardware constraints on the analog-only beamforming, and approaches the performance of digital solutions. Simulation results show that the proposed low-complexity channel estimation algorithm achieves comparable precoding gains compared to exhaustive channel training algorithms. The results also illustrate that the proposed algorithms can approach the coverage probability achieved by perfect channel knowledge even in the presence of interference.
description: 36 pages, 10 figures, submitted to IEEE Journal of Selected Topics in Signal Processing
Chronic prenatal delta-9-tetrahydrocannabinol exposure impacts offspring behavior in rhesus macaques
Creators: name: Hagen, Olivia
name: Graham, Jason A.
name: Sullivan, Elinor A.
name: Lo, Jamie O.
Publisher: name: Oregon Health and Science University
Year: 2023
Subjects: subject: Neurosciences
subject: FOS: Clinical medicine
subject: Developmental Biology
subject: Cannabis
subject: Marijuana
subject: Delta-9-hydrocannabinol
subject: Prenatal Cannabis Exposure
subject: Maternal Cannabis Use
subject: THC
subject: Neurodevelopment
subject: Pregnancy Outcomes
subject: Prenatal Exposure Delayed Effects

description: Background: Cannabis is the most frequently used federally illicit substance in pregnancy. The available human literature suggests that infants exposed to cannabis in pregnancy display signs of impaired neurodevelopment, including altered visual perception, exaggerated response to stimuli, and a high-pitched cry. Results from human studies are often confounded and limited by retrospective observational data, thus a relevant, translational animal model is needed. Objective: The objective of this study is to define the impact of chronic contemporary THC exposure on infant sensorimotor development and socioemotional behavior in a rhesus macaque model. Methods: Timed-pregnant rhesus macaques (n=8) were divided into 2 groups, control (CON, n=4) and THC-exposed (n=4). All animals were maintained on a standard chow diet with the THC group receiving an additional THC edible daily. These animals were titrated to 2.5mg/7kg/day of THC (equivalent to a heavy human medical cannabis dose) over 4 months to model established medical marijuana acclimation guidelines. All animals then underwent time-mated breeding with the THC group maintained at their THC dose throughout pregnancy and during lactation. All animals delivered naturally at term. Neonates were assessed from birth to postnatal day 120 (P120) for markers of sensorimotor development, object retrieval and permanence, emotional regulation in response to novel stimuli, and maternal attachment. Results: Compared to their control counterparts, all THC-exposed infants (n=4) exhibited increased anxiety in response to novel stimuli and displayed less independence during maternal-infant interactions. Conclusion: In our rhesus macaque model, prenatal exposure to THC was associated with an adverse effect on infant socioemotional behavior including greater anxiety and decreased independence that may have long-term implications for offspring outcomes. Further studies are needed to determine whether these findings in early childhood correlate with long-term offspring neurodevelopmental health.
Effect of gate-driven spin resonance on the conductance of a one-dimensional quantum wire
Creators: name: Sadreev, Almas F.
name: Sherman, E. Ya.
Publisher: name: arXiv
Year: 2013
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We consider quasiballistic electron transmission in a one-dimensional quantum wire subject to both time-independent and periodic potentials of a finger gate that results in a coordinate- and time-dependent Rashba-type spin-orbit coupling. A spin-dependent conductance is calculated as a function of external constant magnetic field, the electric field frequency, and the potential strength. The results demonstrate the effect of the gate-driven electric dipole spin resonance in a transport phenomenon such as spin-flip electron transmission.
description: 7 figures
Review on Phage Therapy
Creators: name: Sahni, Ruchir
Publisher: name: figshare
Year: 2022
Subjects: subject: Microbiology
subject: FOS: Biological sciences
subject: 60506 Virology

description: Phage Therapy, which uses bacteriophages to combat a bacterial infection, has been around since the 1920s but was overshadowed by the success of antibiotics. The rise in antibiotic resistance has regenerated curiosity into the potential of this practice. Phage Therapy involves the introduction of lytic phages which will attach to the pathogenic bacterial cell, inject their genome and produce their progeny. The progeny are released by lysis of the bacterium, resulting in the death of the pathogen. This review highlights the current progress of the therapy along with listing the challenges lying ahead. 
Characterizing the tumor microenvironment with reduced dynamic PET imaging in glioblastoma
Creators: name: Wishart, Joseph
Publisher: name: Oregon Health and Science University
Year: 2023
Subjects: subject: Neurobiology
subject: Positron-Emission Tomography
subject: Magnetic Resonance Imaging
subject: Glioblastoma
subject: Hypoxia
subject: Medical Physics
subject: PET
subject: MRI
subject: Hypoxia
subject: Brain Tumors

description: Glioblastoma multiforme (GBM) is the most common and aggressive brain tumor in adults. Owing to a high level of disease heterogeneity and common recurrence, 5-year survival is below 10% with a near 100% mortality rate. Early and accurate diagnosis of GBM is vital for disease staging and treatment planning. Such diagnosis is often made using dynamic contrast-enhanced magnetic resonance imaging (MRI) and positron emission tomography (PET). These imaging techniques not only outline the physical structure of the tumor but also indicate blood flow and oxygen content within its microenvironment. These features are clinically significant, as disease prognosis and treatment efficacy are modulated by hypervascularization and reduced oxygen content (hypoxia). The most common strategy to identify hypoxia is PET imaging with the 18-fluoromisonidazole (FMISO) radiotracer. To add specificity to this assessment, dynamic PET studies have been implemented, mapping the kinetics of the tracer over time. However, proper dynamic scans often exceed two hours and require multiple blood samples, largely rendering them clinically infeasible and isolated to research studies. We present a retrospective analysis of pseudo-dynamic FMISO PET images collected as part of a clinical trial exploring pembrolizumab therapy and FMISO imaging in glioblastoma patients. To improve patient experience and clinical feasibility, the study used a short (40-min) imaging protocol and no blood sampling. A linear dynamic model was applied to these reduced dynamic scans to differentiate between transient FMISO concentration governed by blood flow and chronic uptake indicative of true hypoxic tumor. By comparing parameters of this dynamic model to cerebral blood volume (CBV) measurements, we found statistically significant associations between CBV and dynamic parameters in healthy tissue, but not tumoral regions. Results suggest that this reduced imaging protocol might have potential in identifying perfusion mediated FMISO concentration, offering a more specific diagnostic tool with a reasonable clinical implementation.
Cluster membership probabilities from proper motions and multiwavelength photometric catalogues: I. Method and application to the Pleiades cluster
Creators: name: Sarro, L. M.
name: Bouy, H.
name: Berihuete, A.
name: Bertin, E.
name: Moraux, E.
name: Bouvier, J.
name: Cuillandre, J. -C.
name: Barrado, D.
name: Solano, E.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: We present a new technique designed to take full advantage of the high dimensionality (photometric, astrometric, temporal) of the DANCe survey to derive self-consistent and robust membership probabilities of the Pleiades cluster. We aim at developing a methodology to infer membership probabilities to the Pleiades cluster from the DANCe multidimensional astro-photometric data set in a consistent way throughout the entire derivation. The determination of the membership probabilities has to be applicable to censored data and must incorporate the measurement uncertainties into the inference procedure. We use Bayes' theorem and a curvilinear forward model for the likelihood of the measurements of cluster members in the colour-magnitude space, to infer posterior membership probabilities. The distribution of the cluster members proper motions and the distribution of contaminants in the full multidimensional astro-photometric space is modelled with a mixture-of-Gaussians likelihood. We analyse several representation spaces composed of the proper motions plus a subset of the available magnitudes and colour indices. We select two prominent representation spaces composed of variables selected using feature relevance determination techniques based in Random Forests, and analyse the resulting samples of high probability candidates. We consistently find lists of high probability (p > 0.9975) candidates with $\approx$ 1000 sources, 4 to 5 times more than obtained in the most recent astro-photometric studies of the cluster. The methodology presented here is ready for application in data sets that include more dimensions, such as radial and/or rotational velocities, spectral indices and variability.
description: 14 pages, 4 figures, accepted by A&A
Exploring the Lived Experiences of Grandchildren of Holocaust survivors: a Phenomenological Approach
Creators: name: GREENFELD, DALIYA
Publisher: name: Monash University
Year: 2023
Subjects: classificationCode: 520199
subject: Applied and developmental psychology not elsewhere classified
classificationCode: 520102
subject: Educational psychology

description: Research on trauma has generated vast knowledge on the health-related impacts of a single traumatic experience on survivors and their immediate families. Less is known about the health-related impacts of large-scale traumatic events, such as man-made mass and collective trauma. Collective trauma, such as the Holocaust, can potentially have long-term health-related impacts on the survivors and their descendants for generations to come. This thesis explores the lived experiences of grandchildren of Holocaust survivors and the meanings they assign to their familial Holocaust background and investigates indications of intergenerational transmission of trauma and resilience.
Nonlinear dynamics in PT-symmetric lattices
Creators: name: Kevrekidis, Panayotis G.
name: Pelinovsky, Dmitry E.
name: Tyugin, Dmitry Y.
Publisher: name: arXiv
Year: 2013
Subjects: subject: Exactly Solvable and Integrable Systems (nlin.SI)
subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: We consider nonlinear dynamics in a finite parity-time-symmetric chain of the discrete nonlinear Schr{ö}dinger (dNLS) type. We work in the range of the gain and loss coefficient when the zero equilibrium state is neutrally stable. We prove that the solutions of the dNLS equation do not blow up in a finite time and the trajectories starting with small initial data remain bounded for all times. Nevertheless, for arbitrary values of the gain and loss parameter, there exist trajectories starting with large initial data that grow exponentially fast for larger times with a rate that is rigorously identified. Numerical computations illustrate these analytical results for dimers and quadrimers.
Qualitative review of recruitment barriers for IRB approved research protocols and development of solutions from the perspective of study coordinators
Creators: name: Quadri, Suha
name: Booty, Brian
name: Samuels, Mary
Publisher: name: Oregon Health and Science University
Year: 2023
Subjects: subject: Public Health
subject: Clinical Research
subject: Barriers of Recruitment
subject: Study Recruitment
subject: Barriers to Enrollment
subject: Study Coordinators
subject: Clinical Research Studies

description: Enrollment and retention of participants are essential for the successful completion of clinical research studies. However, there are many potential roadblocks that can interfere with successful recruitment for studies. These obstacles can take a variety of forms, depending on the kinds of recruitment tactics commonly utilized in each individual study. The purpose of this study is to identify the obstacles and explore strategies to overcome them, enabling future research studies to more effectively target those obstacles and devise effective solutions to limit the factors that contribute to setbacks. We interviewed study coordinators, who are on the front lines of enrollment and recruitment, to collect information regarding prospective tactics that study coordinators frequently see and are familiar with. We developed a standardized set of questions based on experience and conversations with recruitment specialists to gather qualitative data about barriers to enrollment. We adopted a semi-structured interview with study coordinators working on multiple types of studies in the Clinical and Translational Research Center unit at the Oregon Health Science University. The preliminary findings from our interview uncovered a wide variety of roadblocks that vary depending on the type of study being conducted. These barriers include finding populations that meet inclusion and exclusion criteria as well as finding the proper tools to reach target populations. The intensity varies depending on the extent of the study, the exclusion criteria, and the kind of research study being conducted. Coordinators routinely utilized a variety of recruitment methods and tools to best meet study recruitment goals. The information that was gathered and the conclusions that were reached can serve as a foundation for subsequent studies to develop policies that offer solutions to the challenges that researchers encounter.
Heavy-flavour and quarkonia in heavy-ion collisions
Creators: name: Rossi, A.
Publisher: name: arXiv
Year: 2013
Subjects: subject: High Energy Physics - Experiment (hep-ex)
subject: Nuclear Experiment (nucl-ex)
subject: FOS: Physical sciences

description: The comparison of heavy-flavour hadron production in proton-proton, proton-Pb and Pb-Pb collisions at the LHC offers the opportunity to investigate the properties of the high-density colour-deconfined state of strongly-interacting matter (Quark Gluon Plasma, QGP) that is expected to be formed in high-energy collisions of heavy nuclei. A review of the main quarkonium and open heavy-flavour results obtained by the ALICE, ATLAS and CMS experiments is presented.
description: Proceedings of LHCP 2013 conference
Investigating of longitudinal development parameters through air shower simulation by different hadronic models
Creators: name: Al-Rubaiee, A. Ahmed
name: Jumaah, Ahmed
Publisher: name: arXiv
Year: 2013
Subjects: subject: General Physics (physics.gen-ph)
subject: FOS: Physical sciences

description: In this work the simulation of the Extensive Air Showers was performed by investigating the longitudinal development parameters (N and Xmax) by using a system for air shower simulation which is called AIRES version 2.6.0 at the energy range (10^14-10^19 eV) for different primary particles like (gamma, electron, positron, proton and iron nuclei) and different zenith angles. The comparison of simulated longitudinal profile was fulfilled for different hadronic models (SIBYLL, QGSJET99 and SIBYLL S16).
description: 7 pages, 9 figures
Role of the lateral habenula-dorsal raphe circuit in methamphetamine-induced aversion
Creators: name: Rios, Samantha
Publisher: name: Oregon Health and Science University
Year: 2023
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Neurosciences
subject: FOS: Clinical medicine
subject: Electrophysiology
subject: Reward
subject: Serotonin
subject: Aversion
subject: Methamphetamine
subject: Drug Effects
subject: Addiction
subject: Substance-Related Disorders

description: Strong initial sensitivity to aversive drug effects likely results in drug avoidance and reduces the probability of addiction. The activation of glutamatergic lateral habenula (LHb) afferents projecting to dorsal raphe (DR) serotonin (5-HT) and GABA interneurons is implicated in the perception of aversion induced by several stimuli. Specifically, inhibition of DR 5-HT neurons is associated with the perception of aversion, whereas activation of these neurons is associated with reward. Our research was designed to test the role of this circuit in methamphetamine (MA)-induced aversion using mice selectively bred for differential genetic risk for voluntary MA consumption. Mice bred for low MA intake (MALDR) exhibit high sensitivity to the aversive effects of MA and low sensitivity to MA reward, whereas mice bred for high MA intake (MAHDR) have opposite MA aversion and reward phenotypes. MA is a full trace amine-associated receptor 1 (TAAR1) agonist and studies from our lab have found TAAR1 functionality is critical for sensitivity to the aversive effects of MA. MALDR mice possess functional TAAR1, whereas MAHDR mice possess a mutation, resulting in the loss of TAAR1 function. We performed research to determine whether MA-induced activation of the LHb and the effect of MA on DR 5-HT neuron firing differs between the MALDR and MAHDR lines. Acute MA induced significantly greater neural activation, measured by cFos expression, in the LHb of MALDR mice, compared to MAHDR mice. Using ex-vivo electrophysiology, we found that MA affects firing frequency in DR 5-HT neurons of MAHDR mice but not of MALDR mice. Greater MA-induced neural activation in the LHb of MALDR mice may be related to their high sensitivity to MA-induced aversion, whereas effects of MA in the DR of MAHDR mice may be related to their sensitivity to the rewarding effects of MA, which are not found in MALDR mice.
Data-Driven Decision Making (DDDM) Frameworks for 5G networks.
Creators: name: Nilton Seixas
Publisher: name: Zenodo
Year: 2022

description: The data-driven decision-making paradigm shifts the way we make decisions from intuition-based to data-driven. It comprises a prior data analysis to find reasonable and non-biased decisions. To support data analysis, "data science" has emerged as a set of techniques combining math, statistics, and business knowledge to process and extract information from data, assisting decision-makers in their calls. To improve resource management in 5G networks, this work proposes a methodology to build data-driven decision-making frameworks using the foundations of data science and big data infrastructure.
A novel computational framework for inferring the developmental and cellular origins of rare and congenital disorders using scRNA-seq data
Creators: name: Sullivan, Jennifer
name: Adey, Andrew
name: Schweitzer, Ronen
name: McWeeney, Shannon
Publisher: name: Oregon Health and Science University
Year: 2023
Subjects: subject: Systems Biology
subject: Rare Diseases
subject: Developmental Biology
subject: Single-Cell Gene Expression Analysis
subject: Genomics
subject: Mutation
subject: scRNA-seq
subject: Congenital Disorders
subject: Fetal Anomalies
subject: Orphan Disease
subject: Data Pipeline
subject: Rare Disorders

description: Despite their devastating impacts on millions of people, most rare and congenital disorders remain poorly understood, leaving the patients with these disorders with no FDA-approved treatment. To inform the development of treatments for these diseases, it is crucial that we understand their root cause. Therefore, we propose the development of two novel computational pipelines to discover the cellular etiology of diseases. Based on the well-supported observation that disorders with a shared phenotype arise from overlapping molecular processes, we hypothesize that these processes are, in many cases, localized to a small set of cell types at specific developmental stages. For our first aim, we will design a novel computational pipeline to discover the cell types whose disrupted intrinsic processes putatively cause a specific phenotype of interest. Our second aim will be devoted to the development of the first computational pipeline for uncovering the pairs of cell types whose disrupted communication initiates the phenotype. In addition, our pipelines will be the first to offer insight into the putative developmental stages at which these cell types are impacted. A major challenge in studying rare and congenital disorders is the difficulty in collecting disease-specific data. Our focus on shared phenotypes of disorders will eliminate any dependence on knowing the mutated gene for any one disorder, and our pipelines will be designed to use single-cell gene expression data from healthy tissues, eliminating the need to collect samples directly from patients. Our project will provide the research community with a dedicated tool for uncovering the cellular etiology of diseases based on their shared molecular processes.
An Efficient Method for Recognizing the Low Quality Fingerprint Verification by Means of Cross Correlation
Creators: name: Karthikeyan, V.
name: Vijayalakshmi, V. J.
Publisher: name: arXiv
Year: 2013
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: In this paper, we propose an efficient method to provide personal identification using fingerprint to get better accuracy even in noisy condition. The fingerprint matching based on the number of corresponding minutia pairings, has been in use for a long time, which is not very efficient for recognizing the low quality fingerprints. To overcome this problem, correlation technique is used. The correlation-based fingerprint verification system is capable of dealing with low quality images from which no minutiae can be extracted reliably and with fingerprints that suffer from non-uniform shape distortions, also in case of damaged and partial images. Orientation Field Methodology (OFM) has been used as a preprocessing module, and it converts the images into a field pattern based on the direction of the ridges, loops and bifurcations in the image of a fingerprint. The input image is then Cross Correlated (CC) with all the images in the cluster and the highest correlated image is taken as the output. The result gives a good recognition rate, as the proposed scheme uses Cross Correlation of Field Orientation (CCFO = OFM + CC) for fingerprint identification.
description: 7 pages and 5 figures