cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Around Operator Monotone Functions
Creators: name: Moslehian, M. S.
name: Najafi, H.
Publisher: name: arXiv
Year: 2011
Subjects: subject: Functional Analysis (math.FA)
subject: FOS: Mathematics
subject: 47A63, 47B10, 47A30

description: We show that the symmetrized product $AB+BA$ of two positive operators $A$ and $B$ is positive if and only if $f(A+B)\leq f(A)+f(B)$ for all non-negative operator monotone functions $f$ on $[0,\infty)$ and deduce an operator inequality. We also give a necessary and sufficient condition for that the composition $f\circ g$ of an operator convex function $f$ on $[0,\infty)$ and a non-negative operator monotone function $g$ on an interval $(a,b)$ is operator monotone and give some applications.
description: 9 pages; to appear in Integral Equations Operator Theory (IEOT)
Older adults' narration and understanding of their experiences of being vitally engaged in living
Creators: name: Terrett, Marianna Joy
Publisher: name: University of British Columbia
Year: 2012

description: Ten women and men between the ages of 69 and 85 participated in a study that explored how older adults narrate and understand their experiences of being vitally engaged in living. The research question was: How Do Men and Women Seventy Years of Age and Older Narrate and Understand the Experience of Being Vitally Engaged in Living? The purpose was to reveal the strengths that some older individuals possess and learn how they manage to cope with the many losses and challenges of later life while still being able to engage in living full, meaningful, and vital lives. Participants were chosen who were articulate in English, perceived themselves to be living vital lives, and had no cognitive impairment, mental illness, or physical disability that would exclude them from being interviewed for a long period of time. Positive psychology formed the theoretical framework for the study. A narrative inquiry was chosen as the methodology for the study because it is founded on studying individuals in-depth, focuses on the whole both in context and in time, and is accomplished through the stories participants tell and the meaning they make of those stories. One or, if needed, two interactive narrative interviews were conducted. The interviews were transcribed verbatim. A holistic-content approach was used to read, interpret, and analyze each participant’s story which resulted in ten individual written narratives. Validation interviews were conducted with the participants to check the rigor of the individual narratives. A categorical-content approach was used to construct the common themes in living a vital life across all the participants’ narratives which resulted in ten common themes and subthemes therein. This resulted in one written common themes narrative. Validation interviews were conducted with the participants, peer reviewers, and expert reviewers to check the rigor of the common themes narrative.
DEP Bulletin:Volume 38 Issue 5
Creators: name: No Name Supplied
Publisher: name: No Publisher Supplied
Year: 2014

description: The DEP bulletin is a semi-monthly publication of the New Jersey Department of Environmental Protection. It contains a list of construction permit applications recently filed or acted upon by the Department along with a calendar of events of interest, a schedule of public hearings, and Environmental Impact Statements acted upon during the period.
Do We See It the Same Way? Event Perception in ADHD: Description and Links to Social Impairments
Creators: name: Ryan, Julia
Publisher: name: Université d'Ottawa / University of Ottawa
Year: 2019
Subjects: ADHD
social perception
Event perception
cognition

description: Attention-Deficit/Hyperactivity Disorder (ADHD) is associated with functional impairments across the lifespan, including in the social domain. The cognitive processes underlying the disorder, as well these associated social impairments, are still being debated. This points to the need for introducing new approaches. Event perception, the process of perceiving ongoing streams of activity into whole events, provides a unique perspective on the cognitive and social deficits in ADHD and how they might be related. Event perception is a compelling approach due to its methodological advantages, theory, and originality. Therefore, the overarching goal of this dissertation is the use of event perception to elucidate cognitive underpinnings of ADHD and associated social impairments. In the background section of this dissertation, I review the evolution of scientific conceptualizations of ADHD as a disorder and its core features, including cognitive underpinnings. In addition, I highlight the cognitive components of the disorder, revealing a need for continued exploration of possible cognitive contributors. Next, I deliver an overview of the functional impairments associated with ADHD, with a special focus on social difficulties. Current theories regarding the factors that contribute to social impairment among those with ADHD are presented along with their methodological, conceptual and practical shortcomings. To address these flaws, I propose turning to event perception as a mechanism of social cognition. This section ends with a description of the guiding Event Segmentation Theory, links between event perception and ADHD, and potential event perception related contributions to the ADHD literature. The first study addresses event perception as a cognitive deficit among those with ADHD, while the second addresses the relationship between event perception, symptoms of ADHD, and social functioning. Results of the two studies point to event perception differences associated with ADHD, as well as symptoms of ADHD acting as mediators in the relationship between event perception and social impairment. As a first initiative to apply event perception to ADHD and its related impairments, these results contribute to current conceptualization of ADHD, as well as support the use of event perception to further inquiries into ADHD and development of future interventions. The dissertation is concluded with a broad discussion of the meaning of the results, as well as limitations, implications and future research directions.
Multiclass Learning Approaches: A Theoretical Comparison with Implications
Creators: name: Daniely, Amit
name: Sabato, Sivan
name: Shwartz, Shai Shalev
Publisher: name: arXiv
Year: 2012
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: We theoretically analyze and compare the following five popular multiclass classification methods: One vs. All, All Pairs, Tree-based classifiers, Error Correcting Output Codes (ECOC) with randomly generated code matrices, and Multiclass SVM. In the first four methods, the classification is based on a reduction to binary classification. We consider the case where the binary classifier comes from a class of VC dimension $d$, and in particular from the class of halfspaces over $\reals^d$. We analyze both the estimation error and the approximation error of these methods. Our analysis reveals interesting conclusions of practical relevance, regarding the success of the different approaches under various conditions. Our proof technique employs tools from VC theory to analyze the \emph{approximation error} of hypothesis classes. This is in sharp contrast to most, if not all, previous uses of VC theory, which only deal with estimation error.
Additional file 2 of Innate lymphoid cells exhibited IL-17-expressing phenotype in active tuberculosis disease
Creators: name: Pan, Linyue
name: Chen, Xiaoli
name: Liu, Xuanqi
name: Qiu, Wenjia
name: Liu, Yunhuan
name: Jiang, Weiping
name: Zheng, Yang
name: Mou, Yan
name: Xu, Wei
name: Li, Xiangyang
name: Ge, Haiyan
name: Zhu, Huili
Publisher: name: figshare
Year: 2021
Subjects: subject: Immunology
subject: FOS: Clinical medicine

description: Additional file 2: Figure S2. Gating of intracellular cytokines.
Time Structure and Academic Success in Post-Secondary: The Mediating Role of Perceived Stress
Creators: name: Morrell, Riley
Publisher: name: Werklund School of Education
Year: 2023
Subjects: subject: Time Structure
subject: Perceived Stress
subject: Academic Success
subject: Post-Secondary
subject: Educational Psychology

description: Students entering post-secondary are subject to changes in their lifestyles, responsibilities, and expectations. For many students, these changes cause large amounts of stress, which may have an impact on their ability to be successful in post-secondary. Distinct from how students actually spend their time, how they believe they spend their time (i.e., time structure) may play an important role in the development of stress and thus impact their success in post-secondary. To date, the way post-secondary students perceive their time use is relatively unexplored, as its relationship to stress and academic success. The present study surveyed 319 first-year university students to determine if perceived stress acts as a mediator between time structure and academic success, and if the factors of time structure were related to perceived stress. The results show that perceived stress partially mediated the relationship. Time structure had a strong relationship with perceived stress. Time structure and perceived stress also had significant relationships with academic success. Correlations show that time structure factors relate to perceived stress, with sense of purpose and effective organization having the strongest relationships. Overall, the results suggested that promoting better time structure could be a valid intervention for improving perceived stress. Interventions that target other stress reducing factors, such as time management, could consider how time structure can contribute to stress in post-secondary students. Furthermore, counsellors who work with post-secondary students should consider the influence of time structure on the well-being of students.
Plan of Retail Street
Creators: name: Melville, Ward, 1887-1977
name: Organization, Ward Melville Heritage
name: Stony Brook Community Fund
Publisher: name: Unknown
Year: 0
Subjects: Stony Brook
Sketches
Blueprints
Plans
Architects
Shopping centers
Architectural drawings
Stores & shops

description: This drawn plan shows the layout of store fronts, sidewalks and roadways. This map is not signed or marked with a creator.
Essays in Behavioural Labour Economics
Creators: name: Atabati, Omid
Publisher: name: Arts
Year: 2023
Subjects: subject: Economics

description: This thesis consists of three thematically related chapters on behavioral labor economics. The two central recurring themes of this thesis is one, investigations into how non-pecuniary preference components (particularly non-pecuniary factors from self-employment and anticipated bias or discrimination in job applications) affect behaviours, and two, how social interaction and networking considerations affect economic outcomes. Focusing on self-employment, the first two research projects in this thesis provides policy recommendations advocating for promotion of professional networking activities and informational sharing, but with a specific attention to the less productive and successful individuals, avoiding creating further inequalities in economic outcomes. The results are accompanied with appropriately designed and quantified indicators as benefit/cost factors. This is particularly important, since this thesis also provides empirical evidences that self-employed individuals face with significant cost factors early in their spells of self-employment, when they are economically weaker. Chapter 4 presents a research project on the topic of anticipated discrimination. Individuals may pursue an occupation or a university major based on anticipation of how they are being perceived by employers nd decision makers. Social and gender identities and stereotypes related to them may have an impact on these anticipations. I argue that the two channels of taste-based and statistical group biases have different implications on entry decision of applicants to apply for job opportunities, hence producing different welfare effects. This research provides the ability to separately identify (i) anticipated statistical group bias: manager’s belief on agent’s ability, and (ii) anticipated taste-based group bias: manager’s preference to work and identify with an agent as a high ability worker at a specific task.
An Adiabatic Hyperspherical Treatment of Few-Body Systems in Atomic and Nuclear Physics
Creators: name: Higgins, Michael David
Publisher: name: Purdue University Graduate School
Year: 2023
Subjects: Atomic and molecular physics
Nuclear physics

description: The adiabatic hyperspherical representation has been applied to study few-body systems in both ultracold atomic physics and low energy nuclear physics, as it is a powerful tool that can be used to solve a variety of few-body Hamiltonian's across a wide range of disciplines in physics. In conjunction with the adiabatic hyperspherical representation, we utilized an explicitly correlated Gaussian basis expansion, different from the traditional hyperspherical harmonic expansion typically used with this method. In atomic physics, we applied this method to study the four-body (e-e-e+e+) coulombic system to study positronium-positronium collisions and to get a theoretical value of the 1s-2s scattering length. This work is published in [Phys. Rev. A 100, 012711 (2019)]. We also looked at few-body physics near the unitary limit, particularly near the s- and p-wave unitary limits where the dominant length scale is the scattering length and scattering volume. On this front, we studied universal physics in this regime for the equal-mass system. This work is published in [Phys. Rev. A 106, 023304 (2022)]. This method was further applied to few-body nuclear physics.
 We treat the three and four neutron scattering problems in the N-body continuum to understand and gain insight into possible few-neutron resonances, most notably whether a four-neutron resonance exists. There have been many conflicting theoretical results on whether a four-neutron resonance exists that stemmed from a recent experiment by Kisimori et al. in 2016 [Phys. Rev. Lett. 116, 052501 (2016)]. To provide further theoretical insight on this problem, we use the adiabatic hyperspherical toolkit to probe the scattering continuum and from the 4n density of states, conclude that there is no 4n resonance state. Our work on this is published in [Phys. Rev. Lett. 125, 052501 (2020)] and [Phys. Rev. C 103, 024004 (2021)]. There are other few-body systems in nuclear physics that are explored in the adiabatic hyperspherical representation, including systems like the triton, helium-3, and helium-4 nuclei to visualize and characterize the different reaction pathways the N-body system can fragment into at a given collision energy.
Evaluation of Injury and Repair in Multiple Sclerosis Using Advanced MRI Methods
Creators: name: Hosseinpour, Zahra
Publisher: name: Schulich School of Engineering
Year: 2023
Subjects: subject: Education--Health
subject: Education--Technology
subject: Neuroscience

description: Multiple sclerosis (MS) is an inflammatory demyelinating and neurodegenerating disease of the central nervous system impacting more than 2.8 million people worldwide. Many of the people experience paramount disability after 10-15 years of disease onset. Optimal management requires accurate measurement of tissue pathology, including the likelihood of repair in lesions. However, there is no established marker of lesion severity in vivo. This project aimed to develop methods to characterize tissue injury and repair as seen in focal lesions based on brain magnetic resonance imaging (MRI) of relapsing-remitting MS (RRMS). The focus was on image processing techniques ranging from development, validation, to application. Initially, based on histology-informed MRI of postmortem MS brains, I conducted texture analysis using an optimized method known as gray level co-occurrence matrix (GLCM) and compared texture analysis to advanced MRI measures using machine learning models for classifying MS pathology, including de- and re-myelinated lesions. Based on the selected MRI measures, I then developed a percentile approach for characterizing MS lesion severity in clinical MRI, and for assessing lesion recovery in clinical trial MS participants. Overall, brain MRI texture measures performed the best in differentiating de- and re-myelination. These measures characterized 2 extreme types of MS lesions on de- and re-myelination, which differentiated men from women, and detected significant recovery in acute MS lesions with treatment. Collectively, advanced texture analysis in clinical MRI is promising for characterizing lesion injury and repair in MS. This ability is critical for improved evaluation of both disease activity and treatment response for MS participants.
Immunomodulatory and wound-healing effects of the host defence peptide LL-37 and related innate defence regulators
Creators: name: Nicholls, Erin Frances
Publisher: name: University of British Columbia
Year: 2012

description: LL-37, the only known human cathelicidin peptide, possesses a variety of immunomodulatory properties that extend its role in host defence far beyond its original classification as an antimicrobial peptide. Recently, work has been underway to elucidate signalling pathways initiated by LL-37, with the aim of further understanding this peptide’s role in the immune system. The aim of this study was to further uncover the role of transcription factors during the responses of immune cells to LL-37 and related innate defence regulator peptides. Secondary aims were to investigate potential wound-healing properties of these peptides and to compare host defence peptides with chemokines in terms of immunomodulatory function. Here, I demonstrated involvement of AP-1 in LL-37-induced wound healing. I also showed a functional overlap between chemokine CXCL9/MIG and host defence peptide LL-37 and demonstrated similarities between LL-37 and the antibiotic azithromycin.
Blueprint of 2nd Floor Plan Attic and Roof Framing of Unit J of a shopping center located in Stony Brook, L.I.
Creators: name: Smythe, Richard Haviland
name: Melville, Ward, 1887-1977
name: Organization, Ward Melville Heritage
name: Stony Brook Community Fund
Publisher: name: Unknown
Year: 0
Subjects: Stony Brook
Sketches
Blueprints
Plans
Architects
Shopping centers
Architectural drawings
Stores & shops

description: This blueprint shows architectural plans for the attic and roof frame of a shopping center building called "Unit J" located in Stony Brook, L.I. The building company is D.T. Bayles & Son. The architect for the project was Richard Haviland Smythe, located at 681 fifth avenue, New York. 1/4 inch scale used.
Physical interpretation of the Wigner rotations and its implications for relativistic quantum information
Creators: name: Saldanha, Pablo L.
name: Vedral, Vlatko
Publisher: name: arXiv
Year: 2011
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We present a new treatment for the spin of a massive relativistic particle in the context of quantum information based on a physical interpretation of the Wigner rotations, obtaining different results in relation to the previous works. We are lead to the conclusions that it is not possible to define a reduced density matrix for the particle spin and that the Pauli-Lubanski (or similar) spin operators are not suitable to describe measurements where spin couples to an electromagnetic field in the measuring apparatus. These conclusions contradict the assumptions made by most of the previous papers on the subject. We also propose an experimental test of our formulation.
description: 10 pages, 2 figures. Several changes were made on the text. One extra example was included
Educating for Care: A Case Study on Care in the International Baccalaureate Diploma Programme Global Politics Course
Creators: name: Hull, Brian
Publisher: name: Werklund School of Education
Year: 2023
Subjects: subject: Ethic of Care
subject: Normative Case Study
subject: International Baccalaureate
subject: Global Politics
subject: Compassion Education
subject: Written Curriculum
subject: Education--Curriculum and Instruction

description: With a climate crisis at hand, intense political polarization, and cases of genocide occurring, critical consideration of how best to care for others and the environment could play an important role in curriculum design and implementation. Employing Noddings’ (2013) notion of an ethic of care, this case study investigates the role care could play in the formal and enacted curriculum in the International Baccalaureate (IB) Diploma Programme (DP). In order to effectively bind the investigation, the two-year IB Global Politics course was chosen to investigate these phenomena. The IB’s mission is to develop caring young people (IB, 2019). However, given the standardized assessments employed by the IB, there is a tension between enacting care and the organization’s focus on rigorous assessment (van Oord, 2013). Considering the formative role education plays in the lives of students and the many environmental and humanitarian injustices that need to be addressed, a reparative approach to curriculum development is not a question of preference but rather raises real moral dilemmas in how to best teach students to care for others. In order to address this moral dilemma, a normative case study approach (Levinson, 2015) has been adopted to consider these issues in the context of the Global Politics course. This research explores first how care is conceptualized and enacted by Global Politics teachers and then suggests various ways in which Global Politics educators and curriculum developers can design the course with care at the forefront of curricular considerations. To accomplish this, a survey was completed by 129 IB Global Politics teachers. From the teachers who completed the survey, a diverse set of 10 teachers were interviewed. Drawing on insights from research data and several care ethicists, several possibilities exist for how educators could place care at the forefront of curricular considerations. These possibilities include modification to current IB assessments, prioritizing the use of story, working with universities to reconsider the current meritocratic model for entrance to their institutions, and, based on the work of Tronto (2013), a care-based analytical framework that teachers and students could employ as they inquire into political issues.
Additional file 5: of Downregulation of miR-133a-3p promotes prostate cancer bone metastasis via activating PI3K/AKT signaling
Creators: name: Tang, Yubo
name: Pan, Jincheng
name: Huang, Shuai
name: Peng, Xinsheng
name: Zou, Xuenong
name: Luo, Yongxiang
name: Ren, Dong
name: Zhang, Xin
name: Li, Ronggang
name: He, Peiheng
name: Wa, Qingde
Publisher: name: figshare
Year: 2018
Subjects: subject: Biochemistry
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Cancer
subject: Plant Biology

description: Table S5. The basic information of 245 prostate adenocarcinoma patients for miR-133a-3p expression analysis. (PDF 60Â kb)
Applicability of Chronic Multiple Linear Regression Models for Predicting Zinc Toxicity in Australian and New Zealand Freshwaters
Creators: name: Stauber, Jenny
name: Gadd, J
name: Price, GAV
name: Evans, A
name: Holland, Aleicia
name: Albert, A
name: Batley, GE
name: Binet, MT
name: Golding, LA
name: Hickey, C
name: Harford, A
name: Jolley, D
name: Koppel, D
name: McKnight, KS
name: Morais, LG
name: Ryan, A
name: Thompson, K
name: Van Genderen, E
name: Van Dam, RA
name: Warne, MSJ
Publisher: name: La Trobe
Year: 2023
Subjects: classificationCode: 310304
subject: Freshwater ecology

description: Bioavailability models, for example, multiple linear regressions (MLRs) of water quality parameters, are increasingly being used to develop bioavailability-based water quality criteria for metals. However, models developed for the Northern Hemisphere cannot be adopted for Australia and New Zealand without first validating them against local species and local water chemistry characteristics. We investigated the applicability of zinc chronic bioavailability models to predict toxicity in a range of uncontaminated natural waters in Australia and New Zealand. Water chemistry data were compiled to guide a selection of waters with different zinc toxicity-modifying factors. Predicted toxicities using several bioavailability models were compared with observed chronic toxicities for the green alga Raphidocelis subcapitata and the native cladocerans Ceriodaphnia cf. dubia and Daphnia thomsoni. The most sensitive species to zinc in five New Zealand freshwaters was R. subcapitata (72-h growth rate), with toxicity ameliorated by high dissolved organic carbon (DOC) or low pH, and hardness having a minimal influence. Zinc toxicity to D. thomsoni (reproduction) was ameliorated by both high DOC and hardness in these same waters. No single trophic level–specific effect concentration, 10% (EC10) MLR was the best predictor of chronic toxicity to the cladocerans, and MLRs based on EC10 values both over- and under-predicted zinc toxicity. The EC50 MLRs better predicted toxicities to both the Australian and New Zealand cladocerans to within a factor of 2 of the observed toxicities in most waters. These findings suggest that existing MLRs may be useful for normalizing local ecotoxicity data to derive water quality criteria for Australia and New Zealand. The final choice of models will depend on their predictive ability, level of protection, and ease of use. Environ Toxicol Chem 2023;00:1–16. © 2023 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.
Agricultural Change in Asia
Creators: name: Dalrymple, Dana G.
Publisher: name: Unknown
Year: 1971
Subjects: subject: Agricultural and Food Policy
subject: Crop Production/Industries
subject: Food Consumption/Nutrition/Food Safety
subject: International Relations/Trade
subject: Labor and Human Capital
subject: Marketing
subject: FOS: Economics and business
subject: Productivity Analysis
subject: Research and Development/Tech Change/Emerging Technologies

description: Contents: I. INTRODUCTION. II. PAST TRENDS IN ASIAN FOOD SUPPLY -- A. Trends in Food Production - 1. Indexes of Food Production - 2. Production of Major Grains -- B. Imports of Grains. III. FACTORS CONTRIBUTING TO INCREASED PRODUCTION -- A. Role of Area and Yield - 1. Past Role - 2. Projected Role -- B. Role of High Yielding Varieties - 1. Area Planted - 2. Yields. IV. AGRICULTURAL PROBLEMS OF THE 1970's -- A. Production and Marketing Challenges -- B. Emerging Social Issues - 1. Income Distribution - 2. Unemployment - 3. Nutrition. V. POSSIBLE AGRICULTURAL APPROACHES FOR ASIA -- A. Diversification -- B. Multiple Cropping. VI. CONCLUDING REMARKS. VII. FOOTNOTES AND REFERENCES
description: Prepared for the Conference on "Asia in the 70's", Carleton University, Ottawa, Ontario, November 13, 1971. Draft No. 2
Fast Free Energy Calculations for Unstable High-Temperature Phases
Creators: name: Antolin, Nikolas
name: Restrepo, Oscar D.
name: Windl, Wolfgang
Publisher: name: arXiv
Year: 2012
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: Computational Physics (physics.comp-ph)
subject: FOS: Physical sciences

description: We present a fast and accurate method to calculate vibrational properties for mechanically unstable high temperature phases that suffer from imaginary frequencies at zero temperature. The method is based on standard finite-difference calculations with optimized large displacements and is significantly more efficient than other methods. We demonstrate its application for calculation of phonon dispersion relations, free energies, phase transition temperatures, and vacancy formation energies for body-centered cubic high-temperature phases of Ti, Zr, and Hf.
DEP Bulletin:Volume 38 Issue 6
Creators: name: No Name Supplied
Publisher: name: No Publisher Supplied
Year: 2014

description: The DEP bulletin is a semi-monthly publication of the New Jersey Department of Environmental Protection. It contains a list of construction permit applications recently filed or acted upon by the Department along with a calendar of events of interest, a schedule of public hearings, and Environmental Impact Statements acted upon during the period.
Age-induced errors in DNA replication and repair in Saccharomyces cerevisiae
Creators: name: Mair, Nicola
Publisher: name: Cumming School of Medicine
Year: 2023
Subjects: subject: Biology--Molecular
subject: Biochemistry

description: Aging is a multifactor process that leads to a widespread decrease in cellular function. The single most significant risk factor for developing cancer is age. Cancer is a disease of genome instability, and much of this genomic damage accumulates during DNA replication and inefficient repair. Although DNA replication and repair mechanisms have been extensively studied, little is known about whether these processes are altered with age. Accordingly, my thesis aims to define age-related differences in DNA replication and repair in the model organism budding yeast (Saccharomyces cerevisiae). By employing budding yeast as a model system, I have developed a protocol to isolate large quantities of precisely aged cells, thus allowing molecular comparisons between young and old cells. The results indicate that during cellular aging, there is a reduction in the efficiency of replication initiation. There is a reduction in the recruitment of polymerases and MCM helicases to the origins of replication. This coincides with a decrease in origin firing and DNA synthesis. I have also shown that double-strand break (DSB) repair becomes highly mutagenic as yeast cells age. The efficiency of homologous recombination and non-homologous end joining decreases, and the incidence of repair through alternative end-joining increases. Aged cells have an overall lower level of repair, and the recruitment of repair proteins to DSBs is impaired. Altogether, my work has identified mechanisms of DNA replication and repair that become increasingly dysregulated with age.
Additional file 3 of Innate lymphoid cells exhibited IL-17-expressing phenotype in active tuberculosis disease
Creators: name: Pan, Linyue
name: Chen, Xiaoli
name: Liu, Xuanqi
name: Qiu, Wenjia
name: Liu, Yunhuan
name: Jiang, Weiping
name: Zheng, Yang
name: Mou, Yan
name: Xu, Wei
name: Li, Xiangyang
name: Ge, Haiyan
name: Zhu, Huili
Publisher: name: figshare
Year: 2021
Subjects: subject: Immunology
subject: FOS: Clinical medicine

description: Additional file 3: Figure S3. The production of IFN-γ and IL-5 in ILCs. The production of IFN-γ and IL-5 in CD117- ILC2, CD117+ ILC2 and ILC3 (A). Comparison in the proportion of IFN-γ-producing cells out of CD117+ ILC2 (B) and ILC3 (C). Comparison in the proportion of IL-5-producing cells out of CD117- ILC2 (D), CD117+ ILC2 (E). NC: normal control group; TB: Mtb-infected group. ILC: innate lymphoid cell.
Digging deeper into NGC\,6868 I: stellar population
Creators: name: Benedetti, João P. V.
name: Riffel, Rogério
name: Ricci, Tiago
name: Trevisan, Marina
name: Riffel, Rogemar A.
name: Pastoriza, Miriani
name: Dahmer-Hahn, Luis G.
name: Ruschel-Dutra, Daniel
name: Rodríguez-Ardila, Alberto
name: Hernandez-Jimenez, Jose A.
name: Steiner, João
Publisher: name: arXiv
Year: 2023
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: We use Gemini integral field unit observations to map the stellar population properties in the inner region ($\sim680\times470$ pc$^2$) of the galaxy NGC 6868. In order to understand the physical and chemical properties of the stellar content of this galaxy, we performed stellar population synthesis using the starlight code with the MILES simple stellar population models. We measured the absorption line indices Fe4383, Mg$_2$, Mg$_b$, Fe5270, Fe5335 for the whole FoV, and used them to derive Fe3 and [MgFe]'. These indices were used to derive [$α$/Fe]. This galaxy is dominated by old metal-rich populations (12.6 Gyr; 1.0 and 1.6 Z$_\odot$) with a negative metallicity gradient. We also found a recent ($\sim63$ Myr) metal-rich (1.6 Z$_{\odot}$) residual star formation in the centre of the galaxy. A dust lane with a peak extinction in the V band of 0.65 mag is seen. No signs of ordered stellar motion are found and the stellar kinematics is dispersion dominated. All indices show a spatial profile varying significantly along the FoV. Mg$_2$ shows a shallow gradient, compatible with the occurrence of mergers in the past. Mg$_b$ and Fe3 profiles suggest different enrichment processes for these elements. We observe three distinct regions: for $R<100$pc and $R>220$pc, Mg$_2$, Mg$_b$ anti correlate with respect to Fe3 and [MgFe]', and for $100 \text{pc}
description: 14 pages, 14 figures, accepted for publication in MNRAS
The fate of the Wilson-Fisher fixed point in non-commutative ϕ^4
Creators: name: Ydri, Badis
name: Bouchareb, Adel
Publisher: name: arXiv
Year: 2012
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences

description: In this article we study non-commutative vector sigma model with the most general ϕ^4 interaction on Moyal-Weyl spaces. We compute the 2- and 4-point functions to all orders in the large N limit and then apply the approximate Wilson renormalization group recursion formula to study the renormalized coupling constants of the theory. The non-commutative Wilson-Fisher fixed point interpolates between the commutative Wilson-Fisher fixed point of the Ising universality class which is found to lie at zero value of the critical coupling constant a_* of the zero dimensional reduction of the theory, and a novel strongly interacting fixed point which lies at infinite value of a_* corresponding to maximal non-commutativity beyond which the two-sheeted structure of a_* as a function of the dilation parameter disappears.
description: 19 pages, 7 figures, v2:one reference added
Super-Rough Glassy Phase of the Random Field XY Model in Two Dimensions
Creators: name: Perret, Anthony
name: Ristivojevic, Zoran
name: Doussal, Pierre Le
name: Schehr, Gregory
name: Wiese, Kay J.
Publisher: name: arXiv
Year: 2012
Subjects: subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We study both analytically, using the renormalization group (RG) to two loop order, and numerically, using an exact polynomial algorithm, the disorder-induced glass phase of the two-dimensional XY model with quenched random symmetry-breaking fields and without vortices. In the super-rough glassy phase, i.e. below the critical temperature $T_c$, the disorder and thermally averaged correlation function $B(r)$ of the phase field $θ(x)$, $B(r) = \bar{}$ behaves, for $r \gg a$, as $B(r) \simeq A(τ) \ln^2 (r/a)$ where $r = |r|$ and $a$ is a microscopic length scale. We derive the RG equations up to cubic order in $τ= (T_c-T)/T_c$ and predict the universal amplitude ${A}(τ) = 2τ^2-2τ^3 + {\cal O}(τ^4)$. The universality of $A(τ)$ results from nontrivial cancellations between nonuniversal constants of RG equations. Using an exact polynomial algorithm on an equivalent dimer version of the model we compute ${A}(τ)$ numerically and obtain a remarkable agreement with our analytical prediction, up to $τ\approx 0.5$.
description: 5 pages, 3 figures
Interpreting LHC SUSY searches in the phenomenological MSSM
Creators: name: Sekmen, S.
name: Kraml, S.
name: Lykken, J.
name: Moortgat, F.
name: Padhi, S.
name: Pape, L.
name: Pierini, M.
name: Prosper, H. B.
name: Spiropulu, M.
Publisher: name: arXiv
Year: 2011
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: We interpret within the phenomenological MSSM (pMSSM) the results of SUSY searches published by the CMS collaboration based on the first ~1 fb^-1 of data taken during the 2011 LHC run at 7 TeV. The pMSSM is a 19-dimensional parametrization of the MSSM that captures most of its phenomenological features. It encompasses, and goes beyond, a broad range of more constrained SUSY models. Performing a global Bayesian analysis, we obtain posterior probability densities of parameters, masses and derived observables. In contrast to constraints derived for particular SUSY breaking schemes, such as the CMSSM, our results provide more generic conclusions on how the current data constrain the MSSM.
description: 15 pages, 7 figures; minor revision, some references and a comment on prior dependence added; version accepted by JHEP
Machine Learning Methods for Kick Detection
Creators: name: Abdul-Ameer, Haider
Publisher: name: Schulich School of Engineering
Year: 2023
Subjects: subject: Kick detection
subject: Machine learning
subject: OpenLab simulator
subject: Neural Network
subject: Engineering--Petroleum

description: Early kick detection is crucial for a safe drilling operation while alarming kick events and helping to prevent blowouts. This research uses machine learning methods to develop data based kick detection models. OpenLab simulator used to create the Kick and NoKick class training and test data; the simulator drilling parameters used: Delta flow, Hook load, Pit volume, WOB (Weight On Bit), ROP (Rate Of Penetration), RPM, SPP (Standpipe Pressure) and Torque. This research selected the following machine learning algorithms: Decision Tree, Naive Bayes, Logistic Regressions and Neural Network. MATLAB was utilized for training and testing the different machine learning kick detection models. For each of these kick detection models, performance is calculated using precision (Kick classes truly predicted divided by the sum of kick classes truly predicted and Kick classes falsely predicted) and recall (Kick class truly predicted divided by the sum of kick classes truly predicted and NoKick classes falsely predicted) metrics. This research used a modified MATLAB radbas function as a reward function for the neural network model transfer functions to improve the model performance. Also, new model performance metrics were developed to evaluate the kick detection models in a more realistic way than precision and recall. These new metrics measure the models' ability to predict the kick event with an adequate early or late kick detection threshold time. MATLAB runs showed that decision tree and neural network are the most efficient models for detecting the kicks on the test data. Neural network and decision tree models' best accuracy showed an 85% KDP ( Kick Detection Performance) versus 54% for naïve bayes and 39% for logistic regression. These models' KDP were associated with the highest NPP (NoKick Prediction Performance) for both decision tree and logistic regression at 100% and naïve bayes at 92%, while neural network NPP was only 46%. A neural network model using the reward function detected 11 kicks out of the test data total of 13 kicks using a robust 10 second kick detection threshold time; this proves that the neural network model can detect the kick event quicker than the conventional kick detection systems.
Additional file 2: of Toward the precision breast cancer survival prediction utilizing combined whole genome-wide expression and somatic mutation analysis
Creators: name: Zhang, Yifan
name: Yang, William
name: Li, Dan
name: Yang, Jack
name: Guan, Renchu
name: Yang, Mary
Publisher: name: figshare
Year: 2018
Subjects: subject: Space Science
subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Marine Biology
subject: Cancer
subject: Plant Biology

description: The Kaplanâ Meier estimator for an independent patient dataset. The survival curve base on 64 of 118 hazard-ratio-selected genes for METABRIC breast cancer patient dataset. (PDF 119Â kb)
The Impact of Sex on Survival in Patients with Non-Small Cell Lung Cancer
Creators: name: Ford-Sahibzada, Chelsea A.
Publisher: name: Cumming School of Medicine
Year: 2023
Subjects: subject: non-small cell lung cancer
subject: survival
subject: sex
subject: Epidemiology
subject: Oncology

description: Background Lung cancer is the leading cause of cancer-related mortality in Canada and globally. Non-small cell lung cancer (NSCLC) is the most common histological subtype of the disease in Canada, with several known prognostic factors. There is growing evidence of the role of sex in NSCLC survival, which is of great clinical and population health interest. The aim of this study was to assess the impact of sex on survival in a real-world population of Canadian NSCLC patients. Methods Retrospective cohort studies were completed using real-world data from the Glans-Look Lung Cancer Research database (GLR). The analyses included patients diagnosed with NSCLC between 2010 and 2020 in Alberta, Canada. The primary study analyzed 10,849 NSCLC patients, where the secondary study analyzed 627 NSCLC patients who tested positive for specific biomarkers and were treated with targeted or immunotherapy. Descriptive statistics were used for cohort characterization, with basic survival analyses completed with Kaplan-Meier estimates and log rank tests. Cox proportional hazards models were utilized for univariable and multivariable analyses. Results In the primary analysis, there was a significant association between male sex and increased hazard of death. The unadjusted and adjusted hazard ratios (HR) for male sex were 1.32 (95% CI 1.26-1.37) and 1.28 (95% CI 1.23-1.34), respectively. The effect of sex remained among advanced stage patients (Stage 4 adjusted HR: 1.26, 95% CI: 1.19 – 1.33). In the secondary analysis, there was no survival differences by sex for the total, ALK mutated, and PD-L1 high expression cohorts. The EGFR cohort found a crude HR for male sex of 1.24 (95% CI: 1.01 – 1.54), but the significance of the association disappeared in the adjusted model 1.30 (95% CI: 0.94 – 1.82). Conclusions In this population-based Canadian cohort, females with NSCLC tended to have longer survival than males with NSCLC, after accounting for the effect of known prognostic factors. There is suggestion of differences in this association based on biomarker status. Future research should focus on examining potential biological and behavioural based explanations for the female survival advantage in NSCLC.
Deep-learning-based Multi-visit Magnetic Resonance Imaging Reconstruction: Proof of Concept and Robustness Evaluation on a Cohort of Glioblastoma Patients
Creators: name: Beauferris, Youssef
Publisher: name: Science
Year: 2023
Subjects: subject: Deep-learning
subject: Biophysics--Medical
subject: Radiology
subject: Artificial Intelligence
subject: Engineering--Biomedical

description: Magnetic Resonance (MR) imaging is a powerful imaging technique for assessing brain-related diseases. However, MR scans suffer from long acquisition times and as a consequence, patients in Canada must wait extensive periods for access to a scanning session. Compressed Sensing (CS) and Parallel Imaging (PI) are two proven techniques employed to enable accelerated acquisitions. However, they both require complex reconstruction algorithms which disable real-time results. The renewed advent of deep-learning has helped tackle this problem of long reconstruction times. But, currently deep-learning based reconstruction methods do not leverage the wealth of mutual information contained across multiple patient visits to the scanner. This led to the proposal of the Multi-visit Integration Model (MIM) which is a framework for reconstructing a follow-up scan, that has been aggressively undersampled, by leveraging a previous scan. This thesis aims to investigate the performance of the MIM when similarity is not guaranteed between the previous and follow-up scan, such as in the case of glioblastoma patients. The results demonstrated that the MIM leaves localized regions, which have undergone a structural change from one scan to the next, the same. However, this conservative behaviour is not demonstrated during our robustness analysis when synthetic lesions are added to the previous scan to simulate a structural change. The effect of the single-visit reconstruction model on the multi-visit reconstruction performance demonstrated that regardless of the model used, statistically significant improvements to reconstruction quality were observed after multi-visit integration. Multi-visit reconstruction produced using older scans compared to newer scans was found to be of lower quality but still did not introduce biases towards the previous time-point. Finally, the accumulation of system error when using a multi-visit reconstruction as a previous scan in the MIM was minimal. This investigation provided insight into the behaviour of multi-visit integration in the face of structural brain changes and paves the early road towards clinical adoption.
Modeling of Methane and Carbon Dioxide Sorption Capacity in Tight Reservoirs Using Machine Learning (ML) Techniques
Creators: name: Tavakolian, Mohsen
Publisher: name: Schulich School of Engineering
Year: 2023
Subjects: subject: Methane Sorption
subject: CO2 Sorption
subject: Carbon Dioxide
subject: Adsorption Capacity
subject: Tight Reservoirs
subject: Enhanced Gas Recovery
subject: Carbon Storage
subject: Machine Learning
subject: Artificial Neural Network
subject: Artificial Intelligence
subject: Engineering--Environmental
subject: Engineering--Petroleum

description: This work examines different machine learning methods, from shallow to deep learning. It investigates their capability to model 489 sets of experiments with 3806 data points where methane (CH4) and/or carbon dioxide (CO2) sorption capacity of shale and coal have been measured at different reservoir conditions. High-accuracy “integrated” shallow and deep learners/predictors were developed, without splitting the dataset into several batches. The best predictors were Random Forest Regressor (RFR) and Artificial Neural Network (ANN) with more than 98% and 96% accuracy, respectively. The developed models worked well with different combinations of potential features, e.g., gas (CH4 and CO2), rock type (either shale or coal family), TOC (total organic carbon), moisture, temperature, porosity, geological properties, etc., resulting in high accuracy (96 to 98%) for 69 sets of “unseen” experimental data with 1384 data points. Furthermore, a sensitivity analysis of the developed predictors showed their alignment with technical expectations of geology and reservoir engineering aspects. Of the best learners, RFR is simpler to apply and quicker to run with higher accuracy and ANN predicts 2% less accuracy on average. However, it operates with less risk of memorizing the data and a higher capability of accurately predicting unseen data. Both models are capable of being applied to lab scale and further developed for their application in reservoir scale simulators. In the end, the developed models are benchmarked against commonly used empirical correlations and pros and cons of each approach are discussed. A new correlation was also developed for CO2 phase change stage and added to this benchmark study.