cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
sj-pdf-1-jao-10.1177_03913988211040530 – Supplemental material for Comparison of Impella 5.0 and extracorporeal left ventricular assist device in patients with cardiogenic shock
Creators: name: Kondo, Toru
name: Morimoto, Ryota
name: Mutsuga, Masato
name: Fujimoto, Kazuro
name: Okumura, Takahiro
name: Shibata, Naoki
name: Kazama, Shingo
name: Kimira, Yuki
name: Oishi, Hideo
name: Kuwayama, Tasuku
name: Hiraiwa, Hiroaki
name: Usui, Akihiko
name: Murohara, Toyoaki
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences

description: Supplemental material, sj-pdf-1-jao-10.1177_03913988211040530 for Comparison of Impella 5.0 and extracorporeal left ventricular assist device in patients with cardiogenic shock by Toru Kondo, Ryota Morimoto, Masato Mutsuga, Kazuro Fujimoto, Takahiro Okumura, Naoki Shibata, Shingo Kazama, Yuki Kimira, Hideo Oishi, Tasuku Kuwayama, Hiroaki Hiraiwa, Akihiko Usui and Toyoaki Murohara in The International Journal of Artificial Organs
D8.8_Newsdigest, posters, bulletins
Creators: name: Ferrer, Manuel
name: Molina-Espeja, Patricia
Publisher: name: Zenodo
Year: 2024
Subjects: bioeconomy
circular economy
textiles
detergents
cosmetics
consumer products

description: This deliverable, developed in M36, summarizes the communication materials for disseminating and communicating project objectives and outcomes for stakeholders, SMEs and industries operating in the biotech sector as well as the scientific community and the general public.
Additional file 2 of Evidence of questionable research practices in clinical prediction models
Creators: name: White, Nicole
name: Parsons, Rex
name: Collins, Gary
name: Barnett, Adrian
Publisher: name: figshare
Year: 2024
Subjects: Medicine
Biotechnology
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
Mathematical Sciences not elsewhere classified
Cancer
Science Policy
Hematology
Computational Biology

description: Additional file 2: Figure S1. Number and proportion of abstracts with at least one AUC value over time.
Additional file 1 of Antarctic snow algae: unraveling the processes underlying microbial community assembly during blooms formation
Creators: name: Soto, Daniela F.
name: Gómez, Iván
name: Huovinen, Pirjo
Publisher: name: figshare
Year: 2024
Subjects: subject: Microbiology
subject: FOS: Biological sciences
subject: Ecology

description: Additional file 1: Supplementary Fig. 1. Rarefaction curves of bacterial and eukaryotic (16S rRNA and 18S rRNA genes) ASVs. Supplementary Fig. 2. Shannon-Wiener diversity index and Richness (Chao 1) of bacterial and eukaryotic communities in snow samples collected at O’Higgins. Supplementary Fig. 3. Matrix for the correlations between the abundances of bacteria and eukaryotes. The figure illustrates positive (blue) and negative (red) significant correlations between taxa that most contributed to the assembly of the microbial community. The size of circles is proportional to the correlation value. Only significant correlations (p < 0.05) are illustrated.
Low-rank Matrix Estimation with Inhomogeneous Noise
Creators: name: Guionnet, Alice
name: Ko, Justin
name: Krzakala, Florent
name: Zdeborová, Lenka
Publisher: name: arXiv
Year: 2022
Subjects: subject: Probability (math.PR)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Statistics Theory (math.ST)
subject: FOS: Mathematics
subject: FOS: Physical sciences

description: We study low-rank matrix estimation for a generic inhomogeneous output channel through which the matrix is observed. This generalizes the commonly considered spiked matrix model with homogeneous noise to include for instance the dense degree-corrected stochastic block model. We adapt techniques used to study multispecies spin glasses to derive and rigorously prove an expression for the free energy of the problem in the large size limit, providing a framework to study the signal detection thresholds. We discuss an application of this framework to the degree corrected stochastic block models.
description: 6 figures
Supplement Response
Creators: name: Luo, Tianyou
name: Zhang, Yinuo
name: Chen, Zhipeng
name: Xu, Kaibin
name: Ouyang, Peidong
name: Hu, Han
name: Li, Chenyang
name: Zhu, Yuhan
name: Yi, Xinyan
name: Li, Guoqiang
Publisher: name: AIP Publishing
Year: 2024
Subjects: classificationCode: 40
subject: Engineering

description: Supplementary Information: High-quality Temperature-complementary Bulk Acoustic Wave Resonators Fabricated
with Strippable Single-crystalline AlN Films Grown on Sapphire
Additional file 1 of Characterizing the impacts of public health control measures on domestic violence services: qualitative interviews with domestic violence coalition leaders
Creators: name: Horney, Jennifer A.
name: Fleury-Steiner, Ruth
name: Camphausen, Lauren C.
name: Wells, Sarah A.
name: Miller, Susan L.
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Mental Health
subject: Infectious Diseases
subject: FOS: Health sciences

description: Additional file 1.
Preferential Attachment and Language Change: werden in German
Creators: name: Concu, Valentina
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: German language

description: This study explores historical syntactic changes within a complex network framework focusing on the development of the German verb werden (to become) and the emergence of the related passive and future periphrases. The data are collected from a corpus of Middle and Early New High German texts and the analysis of the instances is carried out in two different stages. The first stage focuses on the frequency of the verb werden and the elements that co-occurred with it throughout Middle and Early New High German. The second stage investigates the same instances through a complex network framework by applying descriptive statistics to uncover the features of the Middle and Early New High German networks that have been created with the occurrences of werden found in the corpus.
The results of the analysis show that werden experienced an increase in the type of connections it was able to establish throughout the centuries. Such a process is known in the literature as preferential attachment. This suggests that linguistic networks, and specifically, syntactic networks, are also subjected to processes that are common among non-linguistic networks.
Feature-assisted Predictability of Machine Learning to Design Materials with Unique Mechanical Properties
Creators: name: Banik, Suvo
Publisher: name: University of Illinois Chicago
Year: 2025

description: The mechanical properties of materials, spanning from nanoscale to continuum scale, are critical for various engineering applications. At the nanoscale, these properties are heavily influenced by microstructure and defects, which affect overall performance. While single-crystal models provide insight into fundamental material behaviors, designing materials with exceptional elastic properties at the atomic scale remains challenging. One effective approach to overcoming this challenge involves gaining atomic-level insights into elastic properties through atomistic modeling and data-driven methods. Atomistic modeling focuses on understanding atomic interactions, but it is computationally expensive and impractical for large-scale applications. In contrast, data-driven methodologies, particularly AI and machine learning (ML), offer a promising alternative, enabling insights into material behaviors from experimental or simulated data. Despite the growing use of ML models in material discovery, challenges remain, including limited and heterogeneous data, optimal representation of chemical features, and the need for standardized predictability measures. This work addresses these challenges through rigorous validation protocols across various ML model architectures, aiming to predict elastic properties effectively. Within a robust feature space, the study highlights the statistical limitations of predictability and reveals how different features influence elastic properties. Findings indicate that while physical attributes are essential, the local chemical and structural environment is equally crucial in determining material behavior. Rather than relying solely on predetermined features, this work introduces a feature-directed learning approach using advanced architectures like Graph Neural Networks (GNNs). This approach not only enhances predictive performance but also facilitates the transfer of domain knowledge, improving GNN models' learning capabilities. The refined model enables exploration of new candidates for materials with exceptional mechanical properties, such as super hardness. Overall, this study contributes to materials science by integrating advanced ML techniques with traditional material characterization, paving the way for developing novel materials with tailored mechanical properties for future engineering applications.
MODERN APPROACHES TO ASSESSING THE POTENTIAL OF PHOTOVOLTAIC SYSTEMS ON BUILDING ROOFTOPS USING GIS, LIDAR, AND MACHINE LEARNING
Creators: name: Rakhmatov, Odiljon
Publisher: name: Zenodo
Year: 2025

description: In the context of the global transition to renewable energy sources (RES), solar energy plays a key role in the energy strategies of many countries, including Uzbekistan. One promising direction is the installation of photovoltaic (PV) systems on building rooftops, which allows for the efficient use of urban areas for electricity generation. However, assessing the solar potential of rooftops is a complex task that requires considering multiple factors, such as roof geometry, shading, orientation, and tilt angle. This article provides an overview of modern methods for assessing the solar potential of rooftops using geographic information systems (GIS), LiDAR data, and machine learning.
Supplemental Material, sj-docx-1-tpx-10.1177_01926233211037934 - The Society of Toxicologic Pathology: Advances and Adventures in the First 50 Years
Creators: name: Benoit-Biancamano, Marie-Odile
name: Halpern, Wendy
name: Parker, George
name: Hoenerhoff, Mark
name: Fossey, Stacey
name: Keenan, Charlotte
name: Bédard, Agathe
name: Lejeune, Typhaine
name: Kerns, William
name: Patrick, Daniel
name: Quist, Erin
name: Bolon, Brad
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified
subject: FOS: Clinical medicine

description: Supplemental Material, sj-docx-1-tpx-10.1177_01926233211037934 for The Society of Toxicologic Pathology: Advances and Adventures in the First 50 Years by Mark Hoenerhoff, Stacey Fossey, Charlotte Keenan, Agathe Bédard, Typhaine Lejeune, William Kerns, Daniel Patrick, Erin Quist and Brad Bolon in Toxicologic Pathology
Closed-Loop View of the Regulation of AI: Equal Impact across Repeated Interactions
Creators: name: Zhou, Quan
name: Ghosh, Ramen
name: Shorten, Robert
name: Marecek, Jakub
Publisher: name: arXiv
Year: 2022
Subjects: subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: There has been much recent interest in the regulation of AI. We argue for a view based on civil-rights legislation, built on the notions of equal treatment and equal impact. In a closed-loop view of the AI system and its users, the equal treatment concerns one pass through the loop. Equal impact, in our view, concerns the long-run average behaviour across repeated interactions. In order to establish the existence of the average and its properties, one needs to study the ergodic properties of the closed-loop and its unique stationary measure.
Additional file 3 of Evidence of questionable research practices in clinical prediction models
Creators: name: White, Nicole
name: Parsons, Rex
name: Collins, Gary
name: Barnett, Adrian
Publisher: name: figshare
Year: 2024
Subjects: Medicine
Biotechnology
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
Mathematical Sciences not elsewhere classified
Cancer
Science Policy
Hematology
Computational Biology

description: Additional file 3: Figure S2. Bar chart of the number of AUC values per abstract.
sj-pdf-3-hpq-10.1177_13591053211042075 – Supplemental material for Relationship quality and objectively measured physical activity before and after implementation of COVID-19 stay-home orders
Creators: name: Cornelius, Talea
name: Denes, Amanda
name: Webber, Katrina T
name: Guest, Chelsea
name: Goldsmith, Jeff
name: Schwartz, Joseph E
name: Gorin, Amy A
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology
subject: 110319 Psychiatry (incl. Psychotherapy)
subject: FOS: Clinical medicine
subject: 111799 Public Health and Health Services not elsewhere classified
subject: FOS: Health sciences

description: Supplemental material, sj-pdf-3-hpq-10.1177_13591053211042075 for Relationship quality and objectively measured physical activity before and after implementation of COVID-19 stay-home orders by Talea Cornelius, Amanda Denes, Katrina T Webber, Chelsea Guest, Jeff Goldsmith, Joseph E Schwartz and Amy A Gorin in Journal of Health Psychology
Additional file 7 of Evidence of questionable research practices in clinical prediction models
Creators: name: White, Nicole
name: Parsons, Rex
name: Collins, Gary
name: Barnett, Adrian
Publisher: name: figshare
Year: 2024
Subjects: Medicine
Biotechnology
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
Mathematical Sciences not elsewhere classified
Cancer
Science Policy
Hematology
Computational Biology

description: Additional file 7: Figure S6. Bland–Altman plot of the difference in the number of AUC values per abstract extracted manually and by the algorithm. Figure S7. Box-plots of AUC values grouped by whether they were extracted by the algorithm or manual-check only, or by both. Table S1. Estimates from a linear regression model examining the differences in AUC values extracted by the algorithm and manual checking. Figure S8. Proportion of correct AUC values from the algorithm for four selected AUC values. Table S2. Proportion of correct AUC values from the algorithm for two selected AUC values.
X-ray Reverberation Mapping of Ark 564 using Gaussian Process Regression
Creators: name: Lewin, Collin D.
name: Kara, Erin
name: Wilkins, Daniel R.
name: Mastroserio, Guglielmo
name: García, Javier A.
name: Zhang, Rachel
name: Alston, William
name: Connors, Riley M.
name: Dauser, Thomas
name: Fabian, Andy C.
name: Ingram, Adam
name: Jiang, Jiachen
name: Lohfink, Anne M.
name: Lucchini, Matteo
name: Reynolds, Christopher S.
name: Tombesi, Francesco
name: van der Klis, Michiel
name: Wang, Jingyi
Publisher: name: arXiv
Year: 2022
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: Ark 564 is an extreme high-Eddington Narrow-line Seyfert 1 galaxy, known for being one of the brightest, most rapidly variable soft X-ray AGN, and for having one of the lowest temperature coronae. Here we present a 410-ks NuSTAR observation and two 115-ks XMM-Newton observations of this unique source, which reveal a very strong, relativistically broadened iron line. We compute the Fourier-resolved time lags by first using Gaussian processes to interpolate the NuSTAR gaps, implementing the first employment of multi-task learning for application in AGN timing. By fitting simultaneously the time lags and the flux spectra with the relativistic reverberation model RELTRANS, we constrain the mass at $2.3^{+2.6}_{-1.3} \times 10^6M_\odot$, although additional components are required to describe the prominent soft excess in this source. These results motivate future combinations of machine learning, Fourier-resolved timing, and the development of reverberation models.
description: 19 pages, 9 figures. Accepted for publication in The Astrophysical Journal
A study of the crystal growth of select II-VI oxides by Czochralski and Bridgman techniques
Creators: name: Nawash, Jalal Mohammad
Publisher: name: Washington State University
Year: 2006
Subjects: Crystal growth -- Technique
Oxide ceramics

description: The crystal growth of ZnO-TeO2 system was experimented by Czochralski and Bridgman techniques. The series of many runs and experimentations helped optimize the growth process, which was faced by a lot of difficulties. These difficulties include, but are not limited to, the evaporation of TeO2 material above 700 ºC, the formation of more than one phase during the growth, and the lack of a ZnO-TeO2 single crystal to start the growth. It was concluded that the main and most persisting problem is that there is no stable phase, in the system that forms a line component at which the crystal growth should be attempted. However, Zn2Te3O8 and ZnTeO3 single crystals were grown using Czochralski and Bridgman techniques, respectively. It was possible to study some of their important optical and electrical properties for the first time. The phase diagram of this system was investigated using powder x-ray diffraction and scanning electron microprobe. CrystalDiffract 1.3 for Windows software was used to simulate x-ray patterns to find the percentages of the resulting phases. It was found that the type of forming phases might be affected by the process, whether if it was calcining, melting, or pulling. Moreover, the history of the material plays an important role in determining what phases form. The glass form of ZnO-TeO2 system was studied as well for this research. One important finding is that the cut-off band edge of this glass depends greatly on the thickness of the sample used. Dielectric constants and resistivities of several glasses were determined. Bridgman technique was used to grow CdTe2O5 single crystals. These crystals are transparent to visible light, and have a mica-like structure. Optical and electrical properties of these crystals, like the dielectric constant and resistivity, of these crystals, were investigated.
Supplemental Material, sj-pdf-1-ajh-10.1177_10499091211041724 - Advance Care Planning Needs in Idiopathic Pulmonary Fibrosis: A Qualitative Study
Creators: name: Kalluri, Meena
name: Orenstein, Sara
name: Archibald, Nathan
name: Pooler, Charlotte
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 111099 Nursing not elsewhere classified
subject: FOS: Health sciences
subject: 111702 Aged Health Care

description: Supplemental Material, sj-pdf-1-ajh-10.1177_10499091211041724 for Advance Care Planning Needs in Idiopathic Pulmonary Fibrosis: A Qualitative Study by Meena Kalluri, Sara Orenstein, Nathan Archibald and Charlotte Pooler in American Journal of Hospice and Palliative Medicine®
Leonardo Brought To Light: Multispectral Imaging Of Drawings By Leonardo Da Vinci
Creators: name: Jones, Cerys
name: Donnithorne, Alan
name: Terras, Melissa
name: Gibson, Adam
Publisher: name: Zenodo
Year: 2018
Subjects: multispectral imaging
Leonardo da Vinci
imaging
spectral
heritage science
digitisation
digital imaging
special collections
digital humanities
Renaissance
art history
Italian Renaissance

description: Famous for his paintings such as the Mona Lisa and The Last Supper, Leonardo da Vinci was the archetypal Renaissance man with an interest in physics, mathematics, architecture, anatomy, and engineering. Due to his investigative nature, he often experimented with new techniques, which sometimes unfortunately resulted in disastrous consequences, such as with the flaking paint of The Last Supper. Leonardo created hundreds of manuscripts, many of which are now housed in Windsor Library and curated and conserved by the Royal Collections Trust. Such manuscripts include anatomical drawings, blueprints of his futuristic inventions, and more. Many pages are mysterious, only containing drawings in the top half suggesting there should be more beneath: Leonardo typically filled the pages of his notebooks, sometimes with various unconnected topics all on the same sheet. In order to test this theory, and also to better understand his technique, three drawings from the Royal Collections Trust underwent multispectral imaging at UCL. This scientific imaging process involved capturing images of the drawings illuminated across the electromagnetic spectrum. As materials interact with light in a variety of ways, features that cannot usually be seen in visible light alone are suddenly revealed when illuminated in ultraviolet and infrared light. This technique was applied to the drawings to see what could be uncovered. The drawings were, firstly, the studies of the horses and a dog, in which two horses were visible in the top half of the page with the remainder of the page appearing blank, secondly, the anatomy of a bear’s foot, and finally, the study for the Virgin's arm in his famous painting The Virgin and Child with St. Anne.

The multispectral imaging of the anatomy of the bear foot enabled each layer of the drawing to be digitally removed, thereby providing a fascinating insight into how Leonardo built up his drawings. The multispectral imaging of the study of the Virgin's arm revealed an underdrawing of the outline of the arm beneath the sleeve, proving that even geniuses require direction.

The most remarkable results came from the multispectral imaging of the drawing of the horses which dramatically revealed drawings of two further horses and a dog, all completely invisible to the naked eye, which were also visible when the back of the paper was imaged. Multispectral imaging is a revolutionary technology, enabling one to see the invisible. It is appropriate that this cross-disciplinary research impacting the arts and sciences should be applied to the works of the greatest polymath.
Supplemental Material, sj-docx-1-spp-10.1177_19485506211037871 - Loneliness During a Nationwide Lockdown and the Moderating Effect of Extroversion
Creators: name: Entringer, Theresa M.
name: Gosling, Samuel D.
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology

description: Supplemental Material, sj-docx-1-spp-10.1177_19485506211037871 for Loneliness During a Nationwide Lockdown and the Moderating Effect of Extroversion by Theresa M. Entringer and Samuel D. Gosling in Social Psychological and Personality Science
Mammalian Cell-based Biosensors for Foodborne Pathogen Detection
Creators: name: Xu, Luping
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Food packaging, preservation and processing
Food safety, traceability, certification and authenticity

description: Rapid detection of live pathogens is of paramount importance to ensure food safety. At present, nucleic acid-based polymerase chain reaction and antibody-based lateral flow assays are the primary methods of choice for rapid detection, but these are prone to interference from inhibitors, and resident microbes. Moreover, the positive results may neither assure virulence potential nor viability of the analyte. In contrast, the mammalian cell-based assay detects pathogen interaction with the host cells and is responsive to only live pathogens, but the short shelf-life of the mammalian cells is the major impediment for its widespread application. An innovative approach to prolong the shelf-life of mammalian cells by using formalin was undertaken. Formalin (4% formaldehyde)-fixed human ileocecal adenocarcinoma cell line, HCT-8 on 24-well tissue culture plates was used for the capture of viable pathogens while an antibody was used for specific detection. The specificity of the Mammalian Cell-based ImmunoAssay (MaCIA) was validated with Salmonella enterica serovar Enteritidis and Typhimurium as model pathogens and further confirmed against a panel of 15 S. Enteritidis strains, 8 S. Typhimurium,11 other Salmonella serovars, and 14 non-Salmonella spp. The total detection time (sample-to-result) of MaCIA with artificially inoculated ground chicken, eggs, milk, and cake mix at 1-10 CFU/25 g was 16-21 h using a traditional enrichment set up but the detection time was shortened to 10-12 h using direct on-cell (MaCIA) enrichment. Formalin-fixed stable cell monolayers in MaCIA provide longer shelf-life (at least 14 weeks) for possible point-of-need deployment and multi-sample testing on a single plate.
sj-docx-1-pie-10.1177_09544089211039977 - Supplemental material for Application of soft computing methods in robotic grasping: A state-of-the-art survey
Creators: name: Mahanta, Golak B
name: Deepak, B B V L
name: Biswal, Bibhuti B
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 99999 Engineering not elsewhere classified
subject: FOS: Other engineering and technologies
subject: 91299 Materials Engineering not elsewhere classified
subject: FOS: Materials engineering

description: Supplemental material, sj-docx-1-pie-10.1177_09544089211039977 for Application of soft computing methods in robotic grasping: A state-of-the-art survey by Golak B Mahanta, Deepak B B V L and Bibhuti B Biswal in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering
REPRESENTATION LEARNING OF FMRI DATA USING VARIATIONAL AUTOENCODER
Creators: name: Kim, Jung-Hoon
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Biomedical engineering not elsewhere classified

description: Functional imaging data of the brain using Magnetic Resonance Imaging (MRI) – fMRI data exhibits complex but structured patterns. This fMRI data has opened a new venue for understanding the brain system at the whole-brain scale. However, the underlying origins of fMRI data are unclear and entangled. In this dissertation, I establish a variational auto-encoder, a generative model trainable with an unsupervised learning algorithm, to disentangle the unknown sources of fMRI activity. After being trained with large fMRI data in cooperation with a new reformatting strategy of input fMRI data, the model has learned the representations of cortical activity using latent variables. In Chapter 3, I found that the latent representation and its trajectory represented the spatiotemporal characteristics of fMRI activity under resting state. The latent variables reflected the principal gradients of the latent trajectory and drove activity changes in cortical networks. Latent representations were clustered by both individuals and brain states. Representational geometry captured as the covariance between latent variables, rather than cortical connectivity, was used as a more reliable feature to accurately identify subjects from a large group, even if only a short period of data was available per subjects. In Chapter 4, I further applied the VAE model pretrained with fMRI data in the resting state to new fMRI data from subjects watching naturalistic movies. I further validated that my VAE model was highly generalizable to fMRI data under different brain conditions and different scanning parameters. Additionally, I showed the task-evoked brain activity and spontaneous brain activity could be linearly separable in the VAE-derived latent space. Task-evoked latent representations and trajectory were employed to understand the dynamics of brain networks during naturalistic movie stimuli. I found that the principal gradients of the task-evoked latent trajectory were related to many aspects of the movie stimuli: low-, middle-, high-level video features. Cortical mapping of principal gradients showed the interactions between distributed cortical networks spanning from low-level sensory to high-level cognitive. Taken together, the VAE model proposed in this dissertation is a novel and effective tool that can potentially be used for understanding cortical dynamics in different brain conditions and disease conditions.
sj-pdf-1-mrj-10.1177_00222437211034438 - Supplemental material for Relative Effectiveness of Print and Digital Advertising: A Memory Perspective
Creators: name: Venkatraman, Vinod
name: Dimoka, Angelika
name: Vo, Khoi
name: Pavlou, Paul A.
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 150402 Hospitality Management
subject: FOS: Economics and business

description: Supplemental material, sj-docx-1-eup-10.1177_00222437211034438 for Relative Effectiveness of Print and Digital Advertising: A Memory Perspective by Vinod Venkatraman, Angelika Dimoka, Khoi Vo and Paul A. Pavlou in Journal of Marketing Research
Electro - Quasistatic Body Communication for Biopotential Applications
Creators: name: Sriram, Shreeya
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Electrical engineering not elsewhere classified
Biomedical engineering not elsewhere classified
Medical physics

description: The current state of the art in biopotential recordings rely on radiative electromagnetic (EM) fields. In such transmissions, only a small fraction of this energy is received since the EM fields are widely radiated resulting in lossy inefficient systems. Using the body as a communication medium (similar to a ’wire’) allows for the containment of the energy within the body, yielding order(s) of magnitude lower energy than radiative EM communication. The first part of this work introduces Animal Body Communication for untethered rodent biopotential recording and for the first time this work develops the theory and models for animal body communication circuitry and channel loss. In vivo experimental analysis proves that ABC successfully transmits acquired electrocardiogram (EKG) signals through the body with correlation greater than 99% when compared to traditional wireless communication modalities, with a 50x reduction in power consumption. The second part of this work focusses on the analysis and design of an Electro-Quasistatic Human Body Communication (EQS-HBC) system for simultaneous sensing and transmission of biopotential signals. In this work, detailed analysis on the system level interaction between the sensing and transmitting circuitry is studied and a design to enable simultaneous sensing and transmission is proposed. Experimental analysis was performed to understand the interaction between the Right Leg-Drive circuitry and the HBC transmission along with the effect of the ADC quantization on signal quality. Finally, experimental trials proves that EKG signals can be transmitted through the body with greater than 96% correlation when compared to Bluetooth systems at extremely low powers.
Technical Mapping Of Operas Consortium - Annex To Operas Design Study
Creators: name: OPERAS Consortium
Publisher: name: Zenodo
Year: 2017

description: The technical mapping objective was to identify the services the OPERAS Consortium would have to develop in the future and the method of implementing them in a fully distributed infrastructure. To achieve this objective, OPERAS must first know better its own technical environment, which is very diverse and uneven and then involve users to identify clearly what services are needed by the stakeholder communities.

The technical mapping of the OPERAS environment is meant to provide a global description of the technical, organisational and information systems within the OPERAS Consortium. More precisely, the mapping has collected detailed information about workflows, softwares, development languages, data and metadata management, dissemination and distribution tools.
sj-docx-1-dhj-10.1177_20552076211039032 - Supplemental material for Change in cardiometabolic risk factors among Asian Indian adults recruited in a mHealth-based diabetes prevention trial
Creators: name: Muralidharan, Shruti
name: Ranjani, Harish
name: Anjana, Ranjit Mohan
name: Gupta, Yashdeep
name: Ambekar, Samita
name: Koppikar, Varsha
name: Jagannathan, N
name: Jena, Sidhant
name: Tandon, Nikhil
name: Allender, Steven
name: Mohan, Viswanathan
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences
subject: Cardiology
subject: 110306 Endocrinology
subject: FOS: Clinical medicine
subject: 110308 Geriatrics and Gerontology
subject: 111099 Nursing not elsewhere classified
subject: 111299 Oncology and Carcinogenesis not elsewhere classified
subject: 111702 Aged Health Care
subject: 111799 Public Health and Health Services not elsewhere classified
subject: 99999 Engineering not elsewhere classified
subject: FOS: Other engineering and technologies
subject: Anthropology
subject: FOS: Sociology
subject: 200299 Cultural Studies not elsewhere classified
subject: FOS: Other humanities
subject: 89999 Information and Computing Sciences not elsewhere classified
subject: FOS: Computer and information sciences
subject: 150310 Organisation and Management Theory
subject: FOS: Economics and business
subject: Science Policy
subject: 160512 Social Policy
subject: FOS: Political science
subject: Sociology

description: Supplemental material, sj-docx-1-dhj-10.1177_20552076211039032 for Change in cardiometabolic risk factors among Asian Indian adults recruited in a mHealth-based diabetes prevention trial by Shruti Muralidharan, Harish Ranjani, Ranjit Mohan Anjana, Yashdeep Gupta, Samita Ambekar, Varsha Koppikar, N Jagannathan, Sidhant Jena, Nikhil Tandon, Steven Allender and Viswanathan Mohan in Digital Health
Opportunistic RIS-Aided WiFi Imaging in Smart ElectroMagnetic Environments
Creators: name: Tortoriello, Carlo
Publisher: name: University of Illinois Chicago
Year: 2025

description: The reflective intelligent surfaces(RIS) in smart electromagnetic environments(SEME) can be used in a variety of applications. The integration of such tools into wifi systems can potentially achieve super-resolution RF imaging, reducing hardware and energy costs. It is worth it to investigate new inversion techniques, both direct and iterative, to carve the best out of the collected data.
Accurate neural-network-based fitting of full-dimensional two-body potential energy surfaces
Creators: name: Finenko, Artem
Publisher: name: arXiv
Year: 2022
Subjects: subject: Chemical Physics (physics.chem-ph)
subject: Atomic and Molecular Clusters (physics.atm-clus)
subject: FOS: Physical sciences

description: We describe the development of machine-learned potentials of atmospheric gases with flexible monomers for molecular simulations. A recently suggested permutationally invariant polynomial neural network (PIP-NN) approach is utilized to represent the full-dimensional two-body component of the dimer energy. To ensure the asymptotic zero-interaction limit, a tailored subset of the full invariant polynomial basis set is utilized and their variables are modified to achieve a better fit of the correct asymptotic behavior at a long range. The new technique is used to build full-dimensional potentials for the two-body N$_2-$Ar and N$_2-$CH$_4$ interactions by fitting databases of ab initio energies calculated at the coupled-cluster level of theory. The second virial coefficients with full account of molecular flexibility effects are then calculated within the classical framework using the PIP-NN potential surfaces. To showcase the advantages of the PIP-NN method, we compare its accuracy and computational efficiency to several kernel-based and neural-network-based approaches using the MD17 database of energies and forces for ethanol. For large training set sizes, the PIP-NN models attain the best accuracy among examined models, and the computation time is shown to be comparable to that of the PIP regression model and several orders of magnitude faster than the quickest alternatives.
description: 38 pages, 6 figures, submitted to Journal of Chemical Theory and Computation
Additional file 1 of Health workforce incentives and dis-incentives during the COVID-19 pandemic: experiences from Democratic Republic of Congo, Nigeria, Senegal, and Uganda
Creators: name: Kiwanuka, Suzanne N.
name: Babirye, Ziyada
name: Kabwama, Steven N.
name: Tusubira, Andrew K.
name: Kizito, Susan
name: Ndejjo, Rawlance
name: Bosonkie, Marc
name: Egbende, Landry
name: Bondo, Berthold
name: Mapatano, Mala Ali
name: Seck, Ibrahima
name: Bassoum, Oumar
name: Leye, Mamadou MM
name: Diallo, Issakha
name: Fawole, Olufunmilayo I.
name: Bello, Segun
name: Salawu, Mobolaji M
name: Bamgboye, Eniola A
name: Dairo, Magbagbeola David
name: Adebowale, Ayo Steven
name: Afolabi, Rotimi . F
name: Wanyenze, Rhoda K.
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Cancer
subject: Mental Health
subject: Computational Biology

description: Supplementary Material 1
BEST LEADERSHIP PRACTICES OF MULTINATIONAL CORPORATIONS IN THE USE OF AUTOMATED MIGRATION TOOLS IN ADOPTION OF COMMERCIAL CLOUD COMPUTING PLATFORMS: A META-ANALYSIS
Creators: name: Sneider, Ethan Michael
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Technology management
Innovation management
Information systems organisation and management
Communications engineering not elsewhere classified

description: Transitioning to cloud computing is a complex and major effort for large multinational corporations (MNCs). Automated cloud migration tools (ACMTs) have been developed and are evolving to streamline this process. The potential benefits of their use are reported to be significant in terms of cost, time, and business innovation. Academic research on ACMTs and the best leadership practices for their use has been limited. The purpose of the research was to identify the best leadership practices of MNCs in the use of automated migration tools for the adoption of commercial cloud computing platforms. Adoption of cloud computing is a major technological shift occurring globally, and is still in early stages of growth. Major providers of commercial cloud computing platforms include technological giants such as Microsoft, Amazon Web Services, Google, Oracle and IBM. A meta-analysis designed research approach focusing on the triangulation of case studies, cloud computing industry data and trends from cloud service providers (CSP) revealed that best practices of leaders within MNCs fall under three main categories: awareness, impact and actions. Further, it was determined that the ACMTs with the most advanced capabilities do not necessarily equate to faster realization of cloud value for the MNC. With the continued development of ACMTs and their growing adoption, further study on the role of automation in cloud migration solution deployment will be critical, as ACMT capabilities will continue to mature. No longer the sole domain of becoming a market leader alone, organizations that utilize ACMTs are increasingly doing so just to maintain competitive parity, as the true differentiator in organizational excellence is now in cloud optimization and not simply just getting to the cloud.
Advanced Perception for Robotics and Automation Applications
Creators: name: Bhanja Chowdhury, Arindam
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Mechanical engineering not elsewhere classified

description: Perception is one of the most important step in all modern robotics and automation tasks. It gives a robotic system the ability to recognize objects in its surroundings and have a better understanding of the environment. Having such perception capabilities enables the overall robotic or automated system to respond and interact more efficiently with its surroundings. The perceived visual information from a perception system can also be used to augment other kinds of data. For example, depth information from depth cameras can augment distance measurements from lidars; frame comparisons from cameras can give a secondary measurement of displacement; readings from optical flow cameras can be coupled with accelerometer data to have more accurate measurement of velocities, etc. The primary focus of this work is to develop, compare, and integrate novel perception systems and algorithms that have been crafted for robotics and automation applications.Perception systems and algorithms to enhance the overall capabilities of robotics and automation systems have been explored for various domains, such as prosthetic limbs, drones, digital pathology and also for modern factory automation tasks.This work provides a detailed explanation of the methodologies used, how they aid in their respective applications, and the research contributions.
Vehicle Occupant Monitoring with mmWave Wideband Planar Array Radar
Creators: name: Deng, Qiwen
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Signal processing
Autonomous vehicle systems

description: This dissertation proposes a vehicle occupant monitoring method using a mmWave wide-band planar radar array to monitor multiple occupants’ status. The radar array provides high range resolution with a wide field of view in both azimuth and elevation domain, making multiple occupant detection possible. Several methods are developed for posture detection, vital sign estimation, and classification of multiple occupants inside the vehicle cabin. Firstly, a mathematical model is proposed to describe the occupant reflection in the radio frequency environment. A signal processing pipeline is proposed based on the mathematical model. Next, a simulation framework is developed for the occupant’s posture detection and vital signs estimation. A reflection-based model is created to include both the size of each part of the human body and its reflection pattern for various sizes of the occupant simulation. A deep-learning-based method is then proposed based on the radar images reflected from the model for the occupant classification. This method utilizes the image information from the aligned camera as supervision to translate the radar point cloud to semantic segmentation masks. The designed network uses a sparse projected radar point cloud in 2D to generate occupants’ segmentation masks in different categories. The overall prediction accuracy of the designed method is acceptable and compatible with the accuracy of the camera-based image segmentation using the same network. For posture detection, a Keypoint-based model is proposed containing both posture and vital signs. Various sizes of the planer antennas are investigated. The optimal size of the antenna is selected to evaluate various human subjects in the simulation system. The results of the detection capability and accuracy are sufficient to distinguish the given sizes of the occupants as well as their liveness estimation in the simulation.
Manipulation of individual judgments in the quantitative pairwise comparisons method
Creators: name: Strada, M.
name: Kułakowski, K.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Artificial Intelligence (cs.AI)
subject: Discrete Mathematics (cs.DM)
subject: FOS: Computer and information sciences

description: Decision-making methods very often use the technique of comparing alternatives in pairs. In this approach, experts are asked to compare different options, and then a quantitative ranking is created from the results obtained. It is commonly believed that experts (decision-makers) are honest in their judgments. In our work, we consider a scenario in which experts are vulnerable to bribery. For this purpose, we define a framework that allows us to determine the intended manipulation and present three algorithms for achieving the intended goal. Analyzing these algorithms may provide clues to help defend against such attacks.
description: 31 pages, 7 compound figures
Birational automorphism groups of Severi-Brauer surfaces over the field of rational numbers
Creators: name: Vikulova, Anastasia V.
Publisher: name: arXiv
Year: 2022
Subjects: subject: Algebraic Geometry (math.AG)
subject: FOS: Mathematics

description: We prove that the only non-trivial finite subgroups of birational automorphism group of non-trivial Severi--Brauer surfaces over the field of rational numbers are~$\mathbb{Z}/3\mathbb{Z}$ and $(\mathbb{Z}/3\mathbb{Z})^2.$ Moreover, we show that $(\mathbb{Z}/3\mathbb{Z})^2$ is contained in $\mathrm{Bir}(V)$ for any Severi--Brauer surface $V$ over a field of characteristic different from $2$ and $3$, and $(\mathbb{Z}/3\mathbb{Z})^3$ is contained in $\mathrm{Bir}(V)$ for any Severi--Brauer surface~$V$ over a field of characteristic different from $2$ and $3$ which contains a non-trivial cube root of unity.
title: Internecine discord:
title: party, religion, and history in
 Hanoverian Britain, c. 1714-65.
titleType: Subtitle
Creators: name: Skjönsberg, Max
Publisher: name: London School of Economics and Political Science (LSE)
Year: 2018
Subjects: subject: International History

description: This thesis is a study of the place of ‘party’ and different ways of understanding this phenomenon in eighteenth-century British political discourse, especially between 1714 and 1765. Party is one of the most basic concepts of politics. If we are looking for party in any form, the idea of partisan division may be at least as old as the earliest societies where there was competition for office. But what did ‘party’ mean in the eighteenth century? While ancient factions usually denoted interest groups representing different orders in the state, party in the eighteenth century had a range of meanings, some general and others more specific. Broadly speaking, it could either mean a parliamentary constellation vying for power, or carry the more sinister connotation of civil war-like division, with roots in the Reformation and its aftermath. In spite of the fact that the emphasis was on principles and beliefs rather than organisation in both cases, modern historians have tended to focus on the latter. The party debate was considered by political writers at the time to be profoundly important, and political life in the period simply cannot be understood without reference to party. Although ‘party spirit’ waxed and waned, ‘party’ was consistently a key word in political debate. By concentrating on the writings of Rapin, Bolingbroke, David Hume, John Brown, and Edmund Burke, in the context of political developments, this thesis presents the first sustained examination of the idea of party in eighteenth-century Britain. It demonstrates that attitudes towards party were more diverse, penetrating and balanced than previous research has managed to capture.
title: Women cooking art: Hospitality and contemporary art practices
Creators: name: Meneses Romero, Mariana
Publisher: name: Goldsmiths, University of London
Year: 2017
Subjects: subject: Hospitality, Food, Art, Gender, Feminism, Ethics, Derrida

description: This thesis examines the notion of hospitality in light of contemporary food-based artistic practices created from 2000 to 2015 by female artists Sonja Alhauser, Mary Ellen Carroll, Leah Gauthier, Ana Prvacki, Alicia Rfos, Jennifer Rubel I, Miriam Si mun, and Anna Dumitriu, and the experimental food artists Sam Bompas and Harry Parr. The aim is to make sense of how food practices, art, and feminism intersect, especially in light of the gendered history of the food system, including cooking, when opened onto a philosophically developed notion of hospitality. 

I explore the intricacies of hosting the "other", considering the multiple levels in which the relationship between the host and the guest develops. Hospitality is examined as a continuous cycle of relationships where dynamics and discourses of power and of generosity are constantly rehearsed. I focus on four main stages within the food system: 1) the gathering of edibles; 2) the cooking process; 3) the moment when food is shared and ingested with others; and 4) the digestive process. 

Throughout this thesis, I consider hospitality as an open structure that sheds light on the understanding of the encounters between human and non-human species-including animal, vegetable, and microbial-in the food chain. My analysis is situated within contemporary debates of gender studies, cultural studies, food studies, and philosophy of hospitality, in particular, Jacques Derrida's ethics of the other, and the imperative that "one must eat well". Eating is discussed as the literal and metaphorical assimilation and incorporation of the other, and incorporates feminist theoretical engagements which highlight Western thought as being structured by a series of gendered dichotomies, including those of nature-culture, male-female, mind-body, object-subject. I argue that the philosophical notion of hospitality and feminist theory enable a critical approach to the food system as a continual ethical imperative for and to the other.