cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Machine Learning Models of CHI3L1 Mutant Pathogenicity using Computational Mutagenesis
Creators: name: ALEXANDRA CARAUS
name: Vaisman, Iosif
Publisher: name: Journal of Student-Scientists' Research
Year: 2023

description: CHI3L1 is a secreted glycoprotein thought to play an active and crucial role in angiogenesis, antibacterial and inflammatory response throughout the body, and stimulation of human connective tissue cell proliferation. Pathogenic CHI3L1 variants were observed in numerous cancers, autoimmune, and inflammatory diseases, including asthma, atoptic dermatitis, rheumatoid arthritis, Alzheimer’s disease, and glioblastoma cancers, among other common poorly treatable conditions. Evaluation of CHI3L1 missense variant pathogenicity is critical to the future of CHI3L1-related drug research and discovery of promising biomarkers. Current knowledge of pathogenic variants is limited to clinical findings with insufficient evidence to confidently validate research, with many findings expressing “possible” or “probable” pathogenic effects of SNPs. Through four structure-based and sequence-based machine learning programs (AutoMute2.0, SNPs & GO3d, MutPred, PANTHER) trained with large numbers of diverse single residue mutations to predict disease potential of SNPs, computational mutagenesis was performed on 7.3k CHI3L1 variants using protein sequence and structure from PDB ID 1hjx. AlphaFold structure AF-P36222-F1 was also run in AutoMute to explore the possibility of predicting the unmapped residues 1-21 from structure 1hjx and for cross-referencing of results from regions with high model confidence; residues 1-21 yielded low confidence results due to the low pLDDT score in that region. CHI3L1 variants assessed at all possible residue positions with limitations of prediction at the positions with less than 6 neighboring amino acid residues. Results display promising baseline for future study of CHI3L1 mutant-prompted pathogenesis.
description: Journal of Student-Scientists' Research, Vol. 5 (2023)
Fibers of partial totalizations of a pointed cosimplicial space
Creators: name: Mathew, Akhil
name: Stojanoska, Vesna
Publisher: name: arXiv
Year: 2014
Subjects: subject: Algebraic Topology (math.AT)
subject: Category Theory (math.CT)
subject: FOS: Mathematics

description: Let $X^\bullet$ be a cosimplicial object in a pointed $\infty$-category. We show that the fiber of $\mathrm{Tot}_m(X^\bullet) \to \mathrm{Tot}_n(X^\bullet)$ depends only on the pointed cosimplicial object $Ω^k X^\bullet$ and is in particular a $k$-fold loop object, where $k = 2n - m+2$. The approach is explicit obstruction theory with quasicategories. We also discuss generalizations to other types of homotopy limits and colimits.
description: 14 pages. Final version, to appear in Proc. Amer. Math. Soc
Additional file 1 of Gene expression identifies patients who develop inflammatory arthritis in a clinically suspect arthralgia cohort
Creators: name: Niemantsverdriet, Ellis
name: Akker, Erik B. Van Den
name: Boeters, Debbie M.
name: Eeden, Susan J. F. Van Den
name: Geluk, Annemieke
name: Mil, Annette H. M. Van Der Helm-Van
Publisher: name: figshare
Year: 2020
Subjects: subject: Immunology
subject: FOS: Clinical medicine

description: Additional file 1 Supplementary file 1. Detailed description of methods.
Differential Gene Expression Analysis of Alzheimer & Type 1 Diabetic Patients
Creators: name: SARA ABOUELNAGA
name: KAAN EGUZ
name: Ngo, Brenda
name: Ullah, Aman
Publisher: name: Journal of Student-Scientists' Research
Year: 2023

description: Differential gene expression analysis has emerged as a valuable tool in enhancing our understanding of the quantitative variations in gene expression levels across different groups of interest. The relationship between Alzheimer's disease (AD) and type 1 diabetes (T1D) has become a significant research interest. Researchers aim to uncover potential gene expression patterns between these two complex diseases, ultimately leading to a deeper comprehension of their underlying molecular mechanisms and potential therapeutic targets. Our study seeks to broaden the understanding of these genetic biomarkers by analyzing real patient data of individuals affected by AD and T1D. We utilized RNA-sequencing data from three distinct patient groups: AD, T1D, and wildtypes. Using the DESeq2 workflow in R, we identified genes with differential expression levels among the groups. The process involved data normalization, filtering, statistical analysis, and generating plots, enabling us to pinpoint genes of potential interest. Out of the 15,467 genes analyzed: there were 497 upregulated and 1452 downregulated genes. GO enrichment identified gene categories that suggest the immune system’s role in AD and T1D pathogenesis. GSEA identified gene sets that may contribute to cognition impairment in AD and loss of smell associated with diabetic neuropathy. The examination reveals a potential connection between the brain's immune system and the autoimmune system of T1D patients. Additionally, it indicates the existence of a genetic association between impaired cognition and diabetic neuropathy.
description: Journal of Student-Scientists' Research, Vol. 5 (2023)
title: Klima- und Finanzpolitik zusammendenken:  Wechselwirkungen und Zielkonflikte
Creators: name: Bär, Holger
name: Peiseler, Florian
name: Richter, Beate
name: Aleksandrova, Illiana
Publisher: name: Bertelsmann Stiftung
Year: 2023
Subjects: Klimapolitik
Öffentliche Finanzen
Klimaschutz
Finanzpolitik

description: Öffentliche Finanzen sind ein wichtiger Hebel für den Wandel hin zu einer klimaneutralen Gesellschaft und Wirtschaft. Damit der Strukturwandel beschleunigt, sozialer Ausgleich ermöglicht und klimafreundliche Investitionen in der Privatwirtschaft stimuliert werden, gilt es, öffentliche Finanzströme in Einklang mit den gesellschaftlichen Zielen einer Nachhaltigen Sozialen Marktwirtschaft zu bringen. Unser Focus Paper zeigt jedoch: In Deutschland ist Konsistenz zwischen Finanz- und Klimapolitik bisher noch nicht hinreichend gelungen. Die Handlungs- und Investitionsbedarfe sind groß, doch zeitgleich belasten schon heute Klimawandelfolgen und Klimaanpassung die öffentlichen Haushalte.
Unity and Struggle v.4 no.6
Creators: name: No Name Supplied
Publisher: name: No Publisher Supplied
Year: 1975

description: This issue of Unity and Struggle volume 4, number 6, has a publication date of April 1975 and is the second part of a two-part edition. Contributions of news articles, essays, illustrations, photographs, or advertisements are attributed to Janice, and Trevor Munroe.
The impact of Independence Day fireworks on atmospheric fine particulate matter in the contiguous United States
Creators: name: KYLE NGUYEN
name: Siqi Ma
name: Tong, Daniel
Publisher: name: Journal of Student-Scientists' Research
Year: 2023

description: Fireworks are pyrotechnics known for their bright displays during July 4th Independence Day celebrations in the US. However, their popularity comes with inherent hazards to human safety, including the potential for fires, explosions, and less well-known negative effects on air quality. Fireworks can emit fine particulate matter (particle diameters < 2.5 μm, PM2.5), posing significant health risks, particularly contributing to respiratory and cardiovascular illnesses. Hourly observed PM2.5 from 2001 to 2021 was gathered from the EPA’s AQS databases for analyzing the impact of fireworks during Independence Day on the PM2.5. The hourly PM2.5 from US Independence Days served as the experimental group while the average hourly PM2.5 concentration for the month of July in the last 20 years acted as a control. Observational differences were processed from both groups, focusing on large cities, and subsequently mapped to effectively visualize the spatial distribution. The PM2.5 concentration shows a significant increase during the evening of July 4th, especially at 9 to 11 PM local time with a larger increase in populous cities, eventually declining the following day. Drawing on the data and considering annual firework consumption, we estimated the PM2.5 emissions from Independence Day fireworks. Our study aims to analyze the influence of Independence Day fireworks on PM2.5, the trend during the past 20 years, and estimate the PM2.5 emissions from fireworks on July 4 for the first time, potentially improving the air quality modeling with an emission source that is not included before, shedding light on the environmental impact of fireworks and guiding measures to mitigate their adverse effects.
description: Journal of Student-Scientists' Research, Vol. 5 (2023)
A new parameter space study of the singlet fermionic cold dark matter model
Creators: name: Bagherian, Zohreh
name: Ettefaghi, Mohammad Mahdi
name: Haghgouyan, Zina
name: Moazzemi, Reza
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We consider the standard model (SM) extended by a gauge singlet fermion as cold dark matter (SFCDM) and a gauge singlet scalar (singlet Higgs) as a mediator. The parameter space of the SM is enlarged by seven new ones. We obtain the total annihilation cross section of singlet fermions to the SM particles and singlet Higgs at tree level. Regarding the relic abundance constraint obtained by WMAP observations, we study the dependency on each parameter separately, for dark matter masses up to 1 TeV. In particular, the coupling of SFCDM to singlet Higgs $g_s$, the SFCDM mass $m_ψ$, the second Higgs mass $m_{h_2}$, and the Higgs bosons mixing angel $θ$ are investigated accurately. Three other parameters play no significant role. For a maximal mixing of Higgs bosons or at resonances, $g_s$ is applicable for the perturbation theory at tree level. We also obtain the scattering cross section of SFCDM off nucleons and compare our results with experiments which have already reported data in this mass range; XENON100, LUX, COUPP and PICASSO collaborations. Our results show that the SFCDM is excluded by these experiments for choosing parameters which are consistent with perturbation theory and relic abundance constraints.
description: 12 pages, 7 figures, revtex4 format, revised version, some references added, to appear in JCAP
Photo-dynamical Analysis of Circumbinary Multi-planet system TOI-1338: A Fully Coplanar Configuration with a Puffy Planet
Creators: name: Mutian, Wang
Publisher: name: Zenodo
Year: 2024
Subjects: Exoplanet

description: ITOI-1338 is the first circumbinary planet (CBP) system discovered by TESS. It has one transiting planet at P ∼ 95 days and an outer non-transiting planet at P ∼ 215 days complemented by radial velocity (RV) observation. Here we present a global photodynamical modeling of the TOI-1338 system that self-consistently accounts for the mutual gravitational interactions between all known bodies in the system. As a result, the three-dimensional architecture of the system can be established by comparing the model with additional data from TESS Extended Mission and published HARPS/ESPRESSO RV data. We report an inconsistency of binary RV signal between HARPS and ESPRESSO, which could be due to the contamination of the secondary star. According to stability analysis, the RV data via ESPRESSO are preferred. Our results are summarized as follows: (1) The inner transiting planet is extremely coplanar to the binary plane, with a mutual inclination of ~0.°12, making it a permanently transiting circumbinary planet at any nodal precession phases; (2) The outer planet, despite its non-transiting nature, is also coplanar with the binary plane by ~9.1° (22° for the 99% upper limit). (3) The inner planet could have an extremely low density of 0.137 ± 0.026 g/cm3. With a TESS magnitude of 11.45, TOI-1338 b is an optimal circumbinary planet CBP for ground-based follow-up and transit spectroscopy.
The Generation of a Box Model of Near Roadside Emissions in New York City
Creators: name: HANNAH YOUNG
name: Chi-Tsan Wang
name: Tong, Daniel
Publisher: name: Journal of Student-Scientists' Research
Year: 2023

description: The purpose of this study is to examine seasonal changes in Nitrous Dioxide (NO2), Nitrous Oxides (NOx), and Ozone(O3) in New York City, one of the most polluted and populated cities in America. These high emissions levels can largely be attributed to traffic. Most fossil burning engines emit NOx, which is a key precursor to tropospheric ozone, an air pollutant and a greenhouse gas. Because of this quick photolysis of NO2 to form O3, many models underestimate the NOx roadside emissions. In this study recent observational data was taken from 2019, and used in order to collect the O3, NO2, NOx, and NO2/NOx levels at Air Quality Systems (AQS) from all over the country, including rural and urban regions. The observational data from the AQS were then separated into regions. This study focuses upon AQS data throughout the New York City region. Sites that were located within the radius of New York city were combined in order to create a Box Model of New York City’s O3, NOx, NO2, and NO2/NOx concentrations throughout the year. Concentration levels were compared from July and January in order to show the changes in emissions throughout the year. In this study PyCharm and BoxMox were utilized in order to demonstrate the Box Model of the New York City area. The results from this study assist in demonstrating patterns in emission data throughout the year, and demonstrate areas in New York with particularly high or low emissions concentrations.
description: Journal of Student-Scientists' Research, Vol. 5 (2023)
Thermodynamics of AdS Black Holes in Einstein-Scalar Gravity
Creators: name: Lu, H.
name: Pope, C. N.
name: Wen, Qiang
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: We study the thermodynamics of $n$-dimensional static asymptotically AdS black holes in Einstein gravity coupled to a scalar field with a potential admitting a stationary point with an AdS vacuum. Such black holes with non-trivial scalar hair can exist provided that the mass-squared of the scalar field is negative, and above the Breitenlohner-Freedman bound. We use the Wald procedure to derive the first law of thermodynamics for these black holes, showing how the scalar hair (or "charge") contributes non-trivially in the expression. We show in general that a black hole mass can be deduced by isolating an integrable contribution to the (non-integrable) variation of the Hamiltonian arising in the Wald construction, and that this is consistent with the mass calculated using the renormalised holographic stress tensor and also, in those cases where it is defined, with the mass calculated using the conformal method of Ashtekar, Magnon and Das. Similar arguments can also be given for the smooth solitonic solutions in these theories. Neither the black hole nor the soliton solutions can be constructed explicitly, and we carry out a numerical analysis to demonstrate their existence and to provide approximate checks on some of our thermodynamic results.
description: 42 pages, 2 figures. Version published in JHEP, plus a "Note Added" expanding on our definition of "mass" via the first law
TeMa Tools: A multilingual & multiformat education toolkit for aquatic fungi
Creators: name: Anderson, Jennifer L.
name: Barros, Juliana
name: Seena, Sahadevan
Publisher: name: Zenodo
Year: 2022
Subjects: Science communication
Public engagement
Outreach
3D model for printing
Aquatic Fungi
Freshwater Fungi
Fungi
Stream
Aquatic hyphomycete
Tetracladium

description: Most people are surprised when they learn that some fungi live in water. Does this mean that there are mushrooms in lakes? Is it safe to swim? What do they do there? For real? In teaching and outreach, these kinds of questions are great starting points for conversations about fungi, biodiversity, healthy ecosystems, food webs, impacts of pollution and climate change and much more. Simply said, the TeMa Tools are designed to support and encourage these conversations—including across ages, languages, and learning styles. The toolkit includes these print-ready files: An introduction file with information about the tools and tips for use Posters and customizable poster templates to attract attention at outreach events Information cards with helpful graphics in 25 languages  Printable 3D model of a Tetracladium marchalianum spore –to make this microscopic fungus touchable and tangible
description: This project was supported by funding from Formas – a Swedish Research Council for Sustainable Development (award 2020-02190 to J. Anderson).
AI Art Applications in Designing Icons for Dust Health and Safety Effects
Creators: name: AUSTIN MOON
name: Tong, Daniel
Publisher: name: Journal of Student-Scientists' Research
Year: 2023

description: This abstract provides an overview of a research project that utilized AI Art Applications to design icons for dust. Dust Health and Safety is important as dust can cause damage to lung and respiratory systems and can be dangerous for aviation, marine, and road navigation. The project aimed to portray the effects of airborne soil dust on humans and nature through visually stylized and simplified icons. First, research was conducted to understand the specific characteristics and impacts of each icon, ensuring their accurate representation. Second, AI Art Applications, including Midjourney, Pixelmator Pro, Dall-E, and Canva, were employed to create the icons in a stylized and straightforward manner, facilitating enhanced visibility and comprehension. While Dall-E and Midjourney were instrumental in generating the base designs, final adjustments to colors were made within editors like Canva and Pixelmator Pro to ensure the precise depiction of each icon's attributes. However, a potential gap in knowledge emerged during the icon design process as subjective perceptions of understanding may vary between viewers. In conclusion, this research demonstrates the valuable application of AI Art in crafting informative icons that aid in communicating the health and safety effects of airborne soil dust.
description: Journal of Student-Scientists' Research, Vol. 5 (2023)
The gravitational time delay in the field of a slowly moving body with arbitrary multipoles
Creators: name: Soffel, Michael H.
name: Han, Wen-Biao
Publisher: name: arXiv
Year: 2014
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: We calculate the time delay of light in the gravitational field of a slowly moving body with arbitrary multipoles (mass and spin multipole moments) by the Time-Transfer-Function (TTF) formalism. The parameters we use, first introduced by Kopeikin for a gravitational source at rest, make the integration of the TTF very elegant and simple. Results completely coincide with expressions from the literature. The results for a moving body (with constant velocity) with complete multipole-structure are new, according to our knowledge.
description: 9 pages, no figures
NeuroMorpho.Org agile release pipeline enables faster data sharing
Creators: name: Cardenas, Cintia A. Martinez
name: Nguyen, Valerie T.
name: Ghairatmal, Lima
name: Rehman, Hafsa
name: Di Donna, Drew
name: Ndiaye, Joseph
name: Alizai, Sadaf
name: Ascoli, Giorgio A.
name: Tecuatl, Carolina
Publisher: name: Journal of Student-Scientists' Research
Year: 2023

description: NeuroMorpho.Org is a curated open-access repository of neural morphology. Over 1000 laboratories worldwide contributed more than 250,000 three-dimensional reconstructions of neurons and glia that can be browsed by species, brain regions, and cell types. These data are re-used for many scientific applications, leading to new discoveries every week. NeuroMorpho.Org is continuously growing based on a 3-step pipeline: literature mining, data processing, and metadata annotation. Earlier in the project, we released multiple datasets together yearly, but this process caused an average delay of several months in making the data public. Moreover, increased data sharing in the neuroscience community created the need for automatic processing to release more reconstructions in less time. We have progressively automated the NeuroMorpho.Org processing pipeline and modernized the database to enable agile releases of individual datasets as soon as they are ready. Here we analyze the effects of these pipeline improvements. The overall processing time decreased by 35%; 82% of the datasets are now released in less than 3 months compared to 35% prior to agile releases. Furthermore, the average processing time per reconstruction dropped from 56 hours to 8.7 hours. These findings demonstrate that agile releasing enables faster data sharing, thus benefiting both authors and users.
description: Journal of Student-Scientists' Research, Vol. 5 (2023)
Synthesis of Ba4Mn3O10 and Ba4Mn2TO10 (T = Pt, V)
Creators: name: MARIA KRUML
name: Skaggs, Callista
name: Xiaoyan Tan
Publisher: name: Journal of Student-Scientists' Research
Year: 2023

description: Materials with noncentrosymmetric crystal structure have applications in laser technology, access memory elements, energy-conversion, and spintronics. Ba4Mn3O10 adopts an orthorhombic and centrosymmetric structure within space group Cmca (No.64). Previous research has found that substitutions of one third of Mn atoms with a transition metal such as Ru and Ti, have resulted in the parent compound altering from a centrosymmetric to noncentrosymmetric phase. Examination of Ruthenium and Titanium shows ionic radius sizes of 0.62Å and 0.605Å in the compound, respectively, which are much larger than that of Mn (0.53 Å). To determine if this radius size is a factor in the formation of derivative compounds in the Ba4Mn3O10 series, more ions of similar size were chosen to be substituted. Substitutions of Pt (0.625Å) and V (0.58Å) were attempted to form Ba4Mn2PtO10 and Ba4Mn2VO10. The synthesis of these samples was carried out through heating of stoichiometric quantities of the starting compounds BaCO3, MnO2, PtO2, and VO2. The samples were heated to 1050°C in 12 hours and dwelled at the set temperature for 120 hours. The samples were then cooled to room temperature. The purity of the samples was examined through powder X-ray diffraction (PXRD). Different heating profiles were attempted to achieve phase pure samples, which have potential to show different magnetic properties compared to the parent compound.
description: Journal of Student-Scientists' Research, Vol. 5 (2023)
Using AI technology to predict Snow Water Equivalent for western U.S.
Creators: name: ALAN ZHONG
name: LIYA HUANG
name: FAYE HSU
name: ANANYA JAJOO
name: GOKUL PRATHIN
name: Ziheng Sun
Publisher: name: Journal of Student-Scientists' Research
Year: 2023

description: Accurately estimating precipitation quantities and understanding water flow is crucial for diverse applications, including disaster forecasting and agriculture. A significant aspect of this challenge lies in estimating Snow Water Equivalents (SWEs), which play a vital role in water flow dynamics. Unfortunately, accessing this data has been daunting for “laypeople.” Moreover, climate change is rapidly impacting hydrological models, rendering them inaccurate and demanding innovative replacements. To address these issues, this paper introduces a series of beginner-friendly machine learning (ML)-based models designed to leverage historical SWEdata and predict future values at any location. In our research, we collected real-time climate data from various climate monitoring satellite projects such as Sentinel, MODIS, and model datasets like gridMET, terrain data, alongside historical SNOTEL data from ground-based measurements. This diverse dataset served as the foundation for training and testing a range of state-of-the-art ML models. These models encompass a variety of approaches, including Random Forests, XGBoost, and Long Short-Term Memory (LSTM) networks. By employing these cutting-edge ML algorithms, we aim to make the estimation of SWEs more accessible and comprehensible to a wider audience. The incorporation of diverse datasets from satellite projects and ground-based measurements ensures robustness and accuracy in our predictions. Through this research, we strive to create a user-friendly platform for individualsand experts alike to access valuable SWE information, enabling better-informed decisions in water resource management, disaster preparedness, and other critical domains. The potential impacts of this work extend far beyond its immediate applications, contributing to the ongoing battle against the adverse effects of climate change. By equipping users with the capability to accurately estimate SWEs, we can better anticipate water availability and its consequences in the face of a changing climate. Ultimately, this research represents a significant step forward in harnessing the power of machine learning for addressing pressing environmental challenges and promoting sustainable resource management practices.
description: Journal of Student-Scientists' Research, Vol. 5 (2023)
The Effects of Northern Hemisphere Dynamical Flow Patterns on the Active-Break Cycle of the Indian Summer Monsoon
Creators: name: DEEPA SHANMUGAM
name: Korendyke, Mary
name: Swenson, Erik
name: Straus, David
Publisher: name: Journal of Student-Scientists' Research
Year: 2023

description: The Indian Summer Monsoon (ISM) brings episodes of intense rain across the country from June to September each year. The heavy rains allow the agricultural industry to prosper, but intervening periods of drought decrease crop yield. The movement of the ISM and the knowledge of which regions of India will experience rainfall versus drought are largely unpredictable beyond a few days. Intra-seasonal circulation regimes reflecting the active-break cycle (wet and dry spells, respectively) have been identified using five characteristic patterns to describe the evolution of pentads (five-day means) of the ISM (Straus 2021). Previous research proposes that wave trains from the mid-latitudes can influence the break phases and thus the behavior of the ISM. The goal of this project has been to map and analyze Z200 geopotential height data to further explore the effects of the Northern Hemisphere upper-level mid-latitude circulation on the ISM. Using the previously collected geopotential height data at the 200 hPa height field, we created a parabolic time series to find the climatological seasonal cycle and, from that, deduce the anomalies. The anomalous Z200 associated with each regime (both simultaneous and time-lagged) is explored to better understand the dynamics of the preferred intra-seasonal circulation of the ISM. Future research will focus on using variables other than Z200 to determine to what extent the ISM is responding to mid-latitudes, and to what extent it can drive the mid-latitude circulation.
description: Journal of Student-Scientists' Research, Vol. 5 (2023)
Additional file 1 of Performance evaluation of the particle swarm optimization algorithm to unambiguously estimate plasma parameters from incoherent scatter radar signals
Creators: name: Martínez-Ledesma, Miguel
name: Montoya, Francisco Jaramillo
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: Biotechnology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Cancer
subject: 110309 Infectious Diseases
subject: FOS: Health sciences

description: Additional file 1. Determination of optimization algorithm parameters.
DR-CyCADA: Depth Retentive Cycle Consistent Adversarial Domain Adaptation
Creators: name: ROHIT KULKARNI
name: Abhishek Paudel
name: Stein, Gregory J.
Publisher: name: Journal of Student-Scientists' Research
Year: 2023

description: Image depth data can hold a wealth of information for robotic systems that rely on visual input while navigating in unknown environments. Domain adaptation algorithms have enabled robots to transfer knowledge of a known domain to an unfamiliar environment. However, current domain adaptation approaches typically focus on visual appearance, without regard for the structure of an environment. Thus, current approaches can unexpectedly fail when translating between environments. We overcome this mismatch between the original and adapted image by introducing a depth retention loss component to a popular existing domain adaptation model, CyCADA [1]. Our DR-CyCADA approach retains structural components of images and displays promising results in generating high quality images that retain their original structural layout. We evaluate our model via its depth retention loss. We show that DR-CyCADA outperforms similar systems that do not leverage depth retention loss in retaining the structural layout of an environment, demonstrating that our DR-CyCADA model can be used to perform domain adaptation tasks in structurally similar environments and is thus capable of state-of-the-art domain adaptation for robotic systems. References: [1] Hoffman, J., Tzeng, E., Park, T., Zhu J., Isola, P., Saenko, K., Efros, A., Darrell, T. (2018, July 10-15). CyCADA: Cycle-Consistent Adversarial Domain Adaptation [Paper Presentation]. International Conference on Machine Learning 35th Annual Meeting, Stockholmsmässan, Sweden. https://proceedings.mlr.press/v80/hoffman18a.html
description: Journal of Student-Scientists' Research, Vol. 5 (2023)
Theory of microwave spectroscopy of Andreev bound states with a Josephson junction
Creators: name: Bretheau, L.
name: Girit, Ç.
name: Houzet, M.
name: Pothier, H.
name: Esteve, D.
name: Urbina, C.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Superconductivity (cond-mat.supr-con)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We present a microscopic theory for the current through a tunnel Josephson junction coupled to a non-linear environment, which consists of an Andreev two-level system coupled to a harmonic oscillator. It models a recent experiment [Bretheau, Girit, Pothier, Esteve, and Urbina, Nature (London) 499, 312 (2013)] on photon spectroscopy of Andreev bound states in a superconducting atomic-size contact. We find the eigenenergies and eigenstates of the environment and derive the current through the junction due to inelastic Cooper pair tunneling. The current-voltage characteristic reveals the transitions between the Andreev bound states, the excitation of the harmonic mode that hybridizes with the Andreev bound states, as well as multi-photon processes. The calculated spectra are in fair agreement with the experimental data.
description: 8 pages, 6 figures
Unity and Struggle v.4 no.8
Creators: name: No Name Supplied
Publisher: name: No Publisher Supplied
Year: 1975

description: This issue of Unity and Struggle volume 4, number 8, has a publication date of June 1975 and is the first part of a two-part edition. Contributions of news articles, essays, illustrations, photographs, or advertisements are attributed to Trevor Munroe and Vera Montgomery.
Mode und Seide - Wollishofer Blog
Creators: name: Brändli, Sebastian
Publisher: name: Zentralbibliothek Zürich
Year: 2022
Subjects: subject: 677 Textilien
subject: 949 Geschichte anderer Teile Europas
subject: Zürich-Wollishofen
subject: Seidenindustrie
subject: Modeschöpfer
subject: Modedesign

description: Ein Blog zu Geschichte und Quartierleben des Zürcher Stadtquartiers Wollishofen auf wollipedia.ch. Mit Texten von Sebastian Brändli (SB) und Ansichtskarten aus der Sammlung von Markus Zimmermann (MZ).
Magnetic structure of isospin-asymmetric QCD matter in neutron stars
Creators: name: Endrodi, G.
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Physics - Lattice (hep-lat)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: We study QCD under the influence of background magnetic fields and isospin chemical potentials using lattice simulations. This setup exhibits a sign problem which is circumvented using a Taylor-expansion in the magnetic field. The ground state of the system in the pion condensation phase is found to exhibit a pronounced diamagnetic response. We elaborate on how this diamagnetism may contribute to the pressure balance in the inner core of strongly magnetized neutron stars. In addition we show that the onset of pion condensation shifts to larger chemical potentials due to the enhancement of the charged pion mass for growing magnetic fields. Finally, we sketch the magnetic structure of the QCD phase diagram in the temperature-isospin chemical potential plane.
description: 8 pages, 7 figures. v2: estimate of susceptibility in neutron star cores refined; diamagnetism of condensed pions discussed in a new appendix; results on Polyakov loop inserted; references added. Version to appear in PRD
Weak Superimposed Codes of Improved Asymptotic Rate and Their Randomized Construction
Creators: name: Tsunoda, Yu
name: Fujiwara, Yuichiro
Publisher: name: arXiv
Year: 2024
Subjects: subject: Information Theory (cs.IT)
subject: FOS: Computer and information sciences

description: Weak superimposed codes are combinatorial structures related closely to generalized cover-free families, superimposed codes, and disjunct matrices in that they are only required to satisfy similar but less stringent conditions. This class of codes may also be seen as a stricter variant of what are known as locally thin families in combinatorics. Originally, weak superimposed codes were introduced in the context of multimedia content protection against illegal distribution of copies under the assumption that a coalition of malicious users may employ the averaging attack with adversarial noise. As in many other kinds of codes in information theory, it is of interest and importance in the study of weak superimposed codes to find the highest achievable rate in the asymptotic regime and give an efficient construction that produces an infinite sequence of codes that achieve it. Here, we prove a tighter lower bound than the sharpest known one on the rate of optimal weak superimposed codes and give a polynomial-time randomized construction algorithm for codes that asymptotically attain our improved bound with high probability. Our probabilistic approach is versatile and applicable to many other related codes and arrays.
description: 6 pages, accepted for presentation at the 2022 IEEE International Symposium on Information Theory (ISIT)
Real World Data Collection for Navigation via Learning Over Subgoals Planning
Creators: name: DIYA BHATTACHARJEE
name: NIKITA BENNY
name: Abhishek Paudel
name: Abhish Khanal
name: Raihan Arnob
name: Stein, Gregory J.
Publisher: name: Journal of Student-Scientists' Research
Year: 2023

description: We seek to enable robots to navigate through unfamiliar environments with Learning over Subgoals Planning (LSP), an algorithm that uses supervised learning to make predictions about space that the robot cannot see to inform navigation. Current LSP planning models are trained on artificially generated data, which translates into poor performance in the real world. We propose a data collection pipeline from which a high performance real-world LSP model can be trained. Our pipeline produces labeled data after a robot navigates around a building. The pipeline identifies frontiers (boundaries between familiar and unfamiliar space) and labels them and their corresponding images with whether they lead to the target. This data is utilized to train the LSP model. We aim to find that real agents navigating with LSP on real-world floor plans make reasonable predictions about what lies in unseen space.
description: Journal of Student-Scientists' Research, Vol. 5 (2023)
Interpreting neural network predictions of unseen space for a Learning over Subgoals Planner
Creators: name: RUCHI BONDRE
name: Swathi Guptha
name: Stein, Gregory J.
Publisher: name: Journal of Student-Scientists' Research
Year: 2023

description: Recent research has allowed for robots to navigate through unknown environments using various predictive learning methods. When predictive models, specifically neural networks, do not perform well, researchers seek to change the robots behavior. However, if we are to audit the robot behavior or its predictions about unseen space, we must be able to understand what specifically in the model is the driving factor of the good or bad predictions being made. Neural network interpretability can help us with this understanding. To understand how neural networks are interpreting our simulated maze environment images, we use the Captum tool to understand what parts of the image are responsible for making predictions. We will use this capability to inspect and compare predictions of two neural networks, each trained in a different environment. By interpreting and evaluating them, we will study whether the network is making the best predictions because of the robot’s ability to understand its environment, with simulated experiments in a maze-like space.
description: Journal of Student-Scientists' Research, Vol. 5 (2023)
title: Ενεργοποιημένα εξανθρακώματα αγροτικών υπολειμμάτων ως προσροφητικά υλικά στροντίου από υδατικά διαλύματα. Κινητική και ισόθερμες ρόφησης

Creators: name: Σταθοπουλου Βασιλικη
Publisher: name: Technical University of Crete
Year: 2023

description: Η  προκειμένη Διπλωματική εργασία είχε ως σκοπό την διερεύνηση της αξιοποίησης των στερεών προϊόντων πυρόλυσης αγροτικής βιομάζας με στόχο την απορρύπανση εδαφών και υδάτων. Συγκεκριμένα, φλοιοί αμυγδάλου, πυρήνες ροδάκινου και φλοιοί καρυδιού πυρολύθηκαν στους 700⁰C και στους 800⁰C και στη συνέχεια υποβλήθηκαν σε φυσική ενεργοποίηση με ατμό ή διοξείδιο του άνθρακα. Τα βιοεξανθρακώματα μελετήθηκαν ως προς την προσροφητική τους ικανότητα συγκράτησης στροντίου από διάφορα διαλύματα. Οι συγκεντρώσεις του στροντίου στα διαλύματα ήταν 1, 5, 10, 25, 50, 75 και 100 ppm. Πραγματοποιήθηκε σύγκριση των αποτελεσμάτων της κινητικής της ρόφησης, και της προσρόφησης σε ισορροπία, ώστε να αξιολογηθεί η ποιότητα των βιοεξανθρακωμάτων ως μέσων απορρύπανσης. Η φυσική ενεργοποίηση των βιοεξανθρακωμάτων με ατμό ή διοξείδιο του άνθρακα αύξησε δραστικά την ειδική επιφάνεια των δειγμάτων. Τα ενεργοποιημένα βιοεξανθρακώματα με ατμό στους 700°C εμφάνισαν την υψηλότερη τιμή ειδικής επιφάνειας 654.7 m2/g στους φλοιούς αμυγδάλου. Για τα δείγματα τα οποία ενεργοποιήθηκαν με ατμό τα μέγιστα ποσοστά προσρόφησης παρατηρήθηκαν στα 10 ppm στροντίου, 99% για τους φλοιούς αμυγδάλου, 85.1% για τους φλοιούς καρυδιού και 85.4% για τους πυρήνες ροδάκινου. Τα φυσικώς ενεργοποιημένα δείγματα με διοξείδιο του άνθρακα εμφάνισαν μέγιστα ποσοστά ρόφησης 100% το αμύγδαλο στο 1 ppm στροντίου, 83% το καρύδι στα 5ppm στροντίου, και 87% το ροδάκινο στα 5ppm στροντίου. Για τα περισσότερα δείγματα το μοντέλο του Langmuir προσομοίασε καλύτερα τα πειραματικά δεδομένα της προσρόφησης.
Bearing Rigidity and Almost Global Bearing-Only Formation Stabilization
Creators: name: Zhao, Shiyu
name: Zelazo, Daniel
Publisher: name: arXiv
Year: 2014
Subjects: subject: Systems and Control (eess.SY)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: A fundamental problem that the bearing rigidity theory studies is to determine when a framework can be uniquely determined up to a translation and a scaling factor by its inter-neighbor bearings. While many previous works focused on the bearing rigidity of two-dimensional frameworks, a first contribution of this paper is to extend these results to arbitrary dimensions. It is shown that a framework in an arbitrary dimension can be uniquely determined up to a translation and a scaling factor by the bearings if and only if the framework is infinitesimally bearing rigid. In this paper, the proposed bearing rigidity theory is further applied to the bearing-only formation stabilization problem where the target formation is defined by inter-neighbor bearings and the feedback control uses only bearing measurements. Nonlinear distributed bearing-only formation control laws are proposed for the cases with and without a global orientation. It is proved that the control laws can almost globally stabilize infinitesimally bearing rigid formations. Numerical simulations are provided to support the analysis.
description: Accepted as a full paper by IEEE Transactions on Automatic Control. This is the final version before the official publication by IEEE
title: Verkaufen ist gut, psychologisch Überzeugen ist besser
Creators: name: Wollitzer, Alexandra
Year: 2021

description: Im Rahmen eines Seminars an der Universität Wien wurde ein theoretisches, psychologisch fundiertes Verkaufstraining im Fachbereich Wirtschaftspsychologie entwickelt. Dieses wurde durch Änderungen praxisrelevant gestaltet und als E-Learning mittels Video-Modulen auf einer Website zur Verfügung gestellt. Das Ziel der qualitativen Erhebung war es herauszufinden, wie erfolgreich das Seminar anhand der Aspekte Trainingszufriedenheit, Lernerfolg und Verhaltensänderung in der Praxis evaluiert werden kann. Hierzu wurden Leitfadeninterviews mit 5 Verkäufer*Innen aus unterschiedlichen Branchen durchgeführt. Diese wurden im Anschluss transkribiert und mittels qualitativer Inhaltsanalyse ausgewertet. In der Untersuchung konnte herausgefunden werden, dass die Zufriedenheit hinsichtlich des Trainings sehr gut war und es zu einem passablen Lernerfolg geführt hat. Nur die intendierte Verhaltensänderung konnte nicht erfolgreich für das Verkaufsseminar evaluiert werden. Der größte Kritikpunkt bezieht sich auf die technische Umsetzung des Seminars, dahingegen wurden der Seminarleiter und die Inhalte positiv bewertet. Ein Lernerfolg konnte vor allem für Fachbegriffe und den psychologischen Hintergrund festgestellt werden. Aufgrund der mehrjährigen Berufserfahrung der Teilnehmer*Innen konnte keine Verhaltensänderung herbeigeführt werden. Daraus kann geschlossen werden, dass es für die zukünftige Umsetzung relevant ist, die Videos mit entsprechendem Equipment aufzunehmen und den Fokus auf eine Zielgruppe zu legen, die noch nicht viel Erfahrung im Verkauf gesammelt hat.
Designing an ATP-binding protein by harnessing His-tag in secondary structure
Creators: name: SARINA NAYAK
name: Spaine, Robert
name: Solomon, Lee
Publisher: name: Journal of Student-Scientists' Research
Year: 2023

description: Adenosine triphosphate (ATP) is an organic molecule that powers the cellular functions of all living organisms. Harnessing energy from ATP requires an enzyme to cleave off the third phosphate group. The detailed mechanisms of how an enzyme binds to the ATP molecule before this reaction should be better understood to provide the basis for advanced biological research. Since ATP has numerous complex intramolecular interactions, the adenine and the phosphates will be studied independently from each other. Although current literature contains some relevant information, such as the extensively studied Walker folds in ATP-binding proteins, this literature can be difficult to interpret due to the potential impact of evolution. Through investigation using De Novo protein designs, a new ATP-binding protein will be designed. The design of an adenine-binding protein will be studied first. Proteins are synthesized by inducing protein synthesis in living cells. After protein synthesis, a Ni-NTA column is used to isolate desired protein from other proteins that were also produced in synthesis. The his-tag residue on the desired protein and the imidazole in the elution buffer interact with the nickel resin to isolate the desired protein. Next, the protein is purified using the TEV protease to cleave protein at the TEV cleavage site and remove the his-tag. The Ni-NTA column is used once again to separate desired protein from cleaved parts. SDS-PAGE confirmed the effective synthesis and purification of proteins. After purification, we characterized the binding and protein structure. The use of circular dichroism (CD) allows further confirmation of the secondary structure of the purified proteins. Isothermal titration calorimetry (ITC) provides information regarding the entropy, enthalpy, and affinity of the adenine-binding. Titrations of adenine studied using ultraviolet–visible spectroscopy (UV-Vis) show that adenine will not aggregate, ensuring that the results of the ITC binding studies will not be disrupted by aggregation of adenine. Further UV-Vis titrations of adenine in protein have confirmed binding. Pursuit to develop an ATP-binding protein will provide crucial information regarding the phosphorylation process and enhance the understanding of physiology of biological organisms.
description: Journal of Student-Scientists' Research, Vol. 5 (2023)
Mapping the exo-Neptunian landscape. A ridge between the desert and savanna
Creators: name: Castro-González, A.
name: Bourrier, V.
name: Lillo-Box, J.
name: Delisle, J. -B.
name: Armstrong, D. J.
name: Barrado, D.
name: Correia, A. C. M.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: FOS: Physical sciences

description: Atmospheric and dynamical processes are thought to play a major role in shaping the distribution of close-in exoplanets. A striking feature of such distribution is the Neptunian desert, a dearth of Neptunes on the shortest-period orbits. We aimed to define the boundaries of the Neptunian desert and study its transition into the savanna, a moderately populated region at larger orbital distances. We built a sample of planets and candidates based on the Kepler DR25 catalogue and weighed it according to the transit and detection probabilities. We delimited the Neptunian desert as the close-in region of the period-radius space with no planets at a 3$σ$ level, and provide the community with simple, ready-to-use approximate boundaries. We identified an overdensity of planets separating the Neptunian desert from the savanna (3.2 days $ \lessapprox P_{\rm orb}$ $\lessapprox$ 5.7 days) that stands out at a 4.7$σ$ level above the desert and at a 3.5$σ$ level above the savanna, which we propose to call the Neptunian ridge. The period range of the ridge matches that of the hot Jupiter pileup ($\simeq$3-5 days), which suggests that similar evolutionary processes might act on both populations. We find that the occurrence fraction between the pileup and warm Jupiters is about twice that between the Neptunian ridge and savanna. Our revised landscape supports a previous hypothesis that a fraction of Neptunes were brought to the edge of the desert (i.e. the newly identified ridge) through high-eccentricity tidal migration (HEM) late in their life, surviving the evaporation that eroded Neptunes having arrived earlier in the desert. The ridge thus appears as a true physical feature illustrating the interplay between photoevaporation and HEM, providing further evidence of their role in shaping the distribution of close-in Neptunes.
description: Accepted for publication in A&A
NLO QCD Corrections for $χ_{cJ}$ Inclusive Production at $B$ Factories
Creators: name: Chen, Long-Bin
name: Jiang, Jun
name: Qiao, Cong-Feng
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: The next-to-leading order (NLO) quantum chromodynamics (QCD) corrections for $χ_{cJ}(^3P_J^{[1]},^3S_1^{[8]})$, the P-wave charmoniums inclusive production at $B$ factories are calculated utilizing the non-relativistic QCD (NRQCD) factorization formalism. Large NLO corrections are found, especially for $^3P_0^{[1]}$ and $^3S_1^{[8]}$ configurations. Numerical evaluation indicates that the total cross sections of $χ_{cJ}$ inclusive production processes are at the order of $10$fb, which are accessible in BELLE II(super-B) experiment.
description: 12 pages, 4 figures. v2: revised and expanded version