cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
ELISA – Developing a scale for Ecological Momentary Assessment of Life Satisfaction
Creators: name: Rein, Manuel
Publisher: name: Open Science Framework
Year: 2022
Subjects: subject: Social and Behavioral Sciences

description: A well-known, psychometrically evaluated, and widely used instrument to assess the cognitive component of well-being (life satisfaction) on the trait level is the Satisfaction with Life Scale (Diener et al., 1985). However, to our knowledge no such instrument to assess life satisfaction as a state, i.e., momentary (life) satisfaction, exists to this date. While there are some studies that assessed momentary satisfaction or happiness with Ecological Momentary Assessment (de Vries et al., 2021; Magallón-Neri et al., 2018; van Agteren et al., 2021), they often utilized single-item measures whose psychometric properties were not evaluated. To fill this gap in the literature and to facilitate the research of inter- and intra-individual differences in well-being, the purpose of this study is to develop a brief, psychometrically sound questionnaire to measure momentary satisfaction in Ecological Momentary Assessment (EMA) studies.
Green Recommender Systems: Optimizing Dataset Size for Energy-Efficient Algorithm Performance
Creators: name: Arabzadeh, Ardalan
name: Vente, Tobias
name: Beel, Joeran
Publisher: name: arXiv
Year: 2024
Subjects: subject: Information Retrieval (cs.IR)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: As recommender systems become increasingly prevalent, the environmental impact and energy efficiency of training large-scale models have come under scrutiny. This paper investigates the potential for energy-efficient algorithm performance by optimizing dataset sizes through downsampling techniques in the context of Green Recommender Systems. We conducted experiments on the MovieLens 100K, 1M, 10M, and Amazon Toys and Games datasets, analyzing the performance of various recommender algorithms under different portions of dataset size. Our results indicate that while more training data generally leads to higher algorithm performance, certain algorithms, such as FunkSVD and BiasedMF, particularly with unbalanced and sparse datasets like Amazon Toys and Games, maintain high-quality recommendations with up to a 50% reduction in training data, achieving nDCG@10 scores within approximately 13% of full dataset performance. These findings suggest that strategic dataset reduction can decrease computational and environmental costs without substantially compromising recommendation quality. This study advances sustainable and green recommender systems by providing insights for reducing energy consumption while maintaining effectiveness.
Browsing without Third-Party Cookies: What Do You See?
Creators: name: Lin, Maxwell
name: Lin, Shihan
name: Wu, Helen
name: Wang, Karen
name: Yang, Xiaowei
Publisher: name: arXiv
Year: 2024
Subjects: subject: Cryptography and Security (cs.CR)
subject: FOS: Computer and information sciences

description: Third-party web cookies are often used for privacy-invasive behavior tracking. Partly due to privacy concerns, browser vendors have started to block all third-party cookies in recent years. To understand the effects of such third-party cookieless browsing, we crawled and measured the top 10,000 Tranco websites. We developed a framework to remove third-party cookies and analyze the differences between the appearance of web pages with and without these cookies. We find that disabling third-party cookies has no substantial effect on website appearance including layouts, text, and images. This validates the industry-wide shift towards cookieless browsing as a way to protect user privacy without compromising on the user experience.
description: To appear in IMC '24
Leveraging generative models to characterize the failure conditions of image classifiers
Creators: name: LeCoz, Adrien
name: Herbin, Stéphane
name: Adjed, Faouzi
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: We address in this work the question of identifying the failure conditions of a given image classifier. To do so, we exploit the capacity of producing controllable distributions of high quality image data made available by recent Generative Adversarial Networks (StyleGAN2): the failure conditions are expressed as directions of strong performance degradation in the generative model latent space. This strategy of analysis is used to discover corner cases that combine multiple sources of corruption, and to compare in more details the behavior of different classifiers. The directions of degradation can also be rendered visually by generating data for better interpretability. Some degradations such as image quality can affect all classes, whereas other ones such as shape are more class-specific. The approach is demonstrated on the MNIST dataset that has been completed by two sources of corruption: noise and blur, and shows a promising way to better understand and control the risks of exploiting Artificial Intelligence components for safety-critical applications.
Explaining an image classifier with a generative model conditioned by uncertainty
Creators: name: LeCoz, Adrien
name: Herbin, Stéphane
name: Adjed, Faouzi
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Artificial Intelligence (cs.AI)
subject: Image and Video Processing (eess.IV)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: We propose to condition a generative model by a given image classifier uncertainty in order to analyze and explain its behavior. Preliminary experiments on synthetic data and a corrupted version of MNIST dataset illustrate the idea.
Infall, outflow, and turbulence in massive star-forming cores in the G333 giant molecular cloud
Creators: name: Lo, N.
name: Wiles, B.
name: Redman, M. P.
name: Cunningham, M. R.
name: Bains, I.
name: Jones, Peter
name: Burton, M. G.
name: Bronfman, L.
Publisher: name: Swinburne
Year: 2024

description: We present molecular line imaging observations of three massive molecular outflow sources, G333.6-0.2, G333.1-0.4, and G332.8-0.5, all of which also show evidence for infall, within the G333 giant molecular cloud (GMC). All three are within a beam size (36 arcsec) of IRAS sources, 1.2-mm dust clumps, various masing species, and radio continuum-detected H II regions and hence are associated with high-mass star formation. We present the molecular line data and derive the physical properties of the outflows including the mass, kinematics, and energetics and discuss the inferred characteristics of their driving sources. Outflow masses are of 10-40 M-circle dot in each lobe, with core masses of the order of 10(3) M-circle dot. Outflow size scales are a few tenth of a parsec, time-scales are of several x 10(4) years, mass-loss rates a few x 10(-4) M-circle dot yr(-1). We also find the cores are turbulent and highly supersonic.
Undergraduate Nano Ionospheric Temperature Explorer (UNITE) : Thermal analysis
Creators: name: Miller, Kegan
Publisher: name: Unknown
Year: 2017

description: This document describes the design of a thermal mode! for the Undergraduate Nano
Ionospheric Temperature Explorer (UNITE) CubeSat. From the thermal model, several cases of
thermal analysis were included covering various orbits. Several methods of temperature
calculation were completed, including MATLAB worst case temperatures, SolidWorks
Simulation, and Systems Tool Kit external temperature analysis over the course of several orbits.
However, this document focuses on the most sophisticated of the thermal models, a model
created in Thermal Desktop. Thermal Desktop, an AutoCAD extension, was used to model
orbits, radiation on the CubeSat, and component temperature calculations. From these
simulations, UNITE is predicted to maintain temperatures within the operational temperature
bounds of -30 to 60°C. Since predictions of temperatures stated the temperatures were within
bounds, no additional thermal control was selected. Moving forward, the next Thermal Lead on
the UNITE CubeSat team shall apply actual orbit parameters from flight and compare the
predicted temperatures with on orbit data.
The drug war must end: The right to life, liberty and security of the person during the COVID-19 pandemic for people who use drugs
Creators: name: Maynard, Russ
name: Jozaghi, Ehsan
Publisher: name: BioMed Central
Year: 2021

description: Since the start of the opioid epidemic in 2016, the Downtown Eastside community of Vancouver, Canada, has lost many pioneering leaders, activists and visionaries to the war on drugs. The Vancouver Area Network of Drug Users (VANDU), the Western Aboriginal Harm Reduction Society (WAHRS), and the British Columbia Association People on Opiate Maintenance (BCAPOM) are truly concerned about the increasing overdose deaths that have continued since 2016 and have been exacerbated by the novel coronavirus (SARS-COVID-19) despite many unique and timely harm reduction announcements by the British Columbia (B.C.) government. Some of these unique interventions in B.C., although in many cases only mere announcements with limited scope, are based on the philosophy of safe supply to illegal street drugs. Despite all the efforts during the pandemic, overdose deaths have spiked by over 100% compared to the previous year. Therefore, we urge the Canadian federal government, specifically the Honorable Patty Hajdu, the federal Minister of Health, to decriminalize simple possession immediately by granting exemption under the Controlled Drugs and Substances Act. The Canadian federal government has a moral obligation under Sect. 7 of the Canadian Charter of Rights and Freedoms to protect the basic human rights of marginalized Canadians.
PROSPECTS OF AN INDIA-RUSSIA COOPERATION FOR NORTHERN AGRICULTURE
Creators: name: Suhag, Vikram
Publisher: name: Российская Арктика
Year: 2022
Subjects: India-Russia bilateral relationship
Russian arctic
polar agriculture
Indian arctic policy
Food security
Arctic strategy
Arctic ecology

description: The article discusses the food security dimension facing India and tries to look at the Arctic emerging as a future agriculture hot spot as the agriculture expands northwards due to climate change. In the recent years India has been trying to make a way into the Arctic, primarily to counter the growing Chinese influence. This push has primarily been due to Geo-strategic reasons as the strategic lever that India held to contain China in the Indian ocean region through its strong control of Sea lanes of communications and strategic Naval assets in the Malacca strait is fading due to the possible opening of the Northern Sea route. This is a very strong concern in the Indian thinking circles because it enables China to bypass the Indian security architecture in the Indian ocean region. But We have all the reasons to look at all the possible areas that Arctic may open for India in the future. One such area as spelled out in the latest Arctic policy released by Government of India on 17th March 2022 is the scope of scientific cooperation. It is important to note the stress on research mentioned in this document also looks at Arctic geology. India with its growing population, rapid urbanization and changing rainfall patterns has witnessed a decline in agricultural output over years and this trend would be aggravated due to climate change. As the Arctic shows some prospects of becoming a contributor to global food security, it is worth mentioning the need to look at the region from a food security prism and start the geological research cooperation with Russia, which has the largest arctic territory and explore the feasibility of the region towards India’s food security.
title: Investigating the potential of mitochondrial inhibition as an antifungal target in Cryptococcus neoformans
Creators: name: Edrich, Elizabeth Sarah Meta
Publisher: name: University of Kent
Year: 2024

description: The opportunistic pathogen Cryptococcus neoformans is the major causal agent of cryptococcosis and cryptococcal meningitis in HIV patients worldwide, and increasing evidence of antifungal resistance demands that new therapeutic targets are investigated. Here, we review the roles of mitochondria, respiration and metabolism in C. neoformans pathogenesis and discuss the role of the Alternative Oxidase enzyme (Aox). Our data suggests that C. neoformans was sensitive to mitochondrial disruption and that resistance of this organelle to stress is partly linked to Ypk1, a kinase involved in lipid biosynthesis pathways. We propose that Aox1 plays an important role in the decision to enter quiescence when mitochondria are placed under respiratory stress, potentially as part of a metabolic checkpoint. Investigations into efficacy of the antimicrobial agent sodium nitrite, and the effects of novel, putative fungal-specific inhibitors ALTOX094 and ALTOX102 are discussed. We found that these compounds had potential as dual inhibitors of Aox and cytochrome bc1, which reduced C. neoformans growth and viability. However, these drugs had variable effects on respiration, indicative of different mechanisms of mitochondrial disruption. We suggest that tackling C. neoformans infection through mitochondrial inhibition presents a viable future direction for research. Further investigations to extend our findings around the role of mitochondria and metabolism in the control of quiescence may reveal new approaches to tackle the pathogenicity of C. neoformans.
Phonon-mediated superconductivity in transition-metal trioxides XO3 (X = Ru, Re, Os, Ir, Pt) under pressure
Creators: name: Yang, Aiqin
name: Tao, Xiangru
name: Quan, Yundi
name: Zhang, Peng
Publisher: name: arXiv
Year: 2024
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: A recent experiment by Shan {\it et al} [arXiv:2304.09011] found that rhenium trioxide ReO$_3$, a simple metal at the ambient pressure, becomes superconducting with a transition temperature as high as 17 K at 30 GPa. In this paper, we analyze the electron-phonon origin of superconductivity in rhombohedral ReO$_3$ in detail. In addition, we also conduct a high-throughout screening of isostructural transition-metal trioxides XO$_3$ in searching for potential pressure-induced superconductors. Totally twenty-eight XO$_3$ compounds have been studied, in which four candidates RuO$_3$, OsO$_3$, IrO$_3$ and PtO$_3$ are predicted superconducting with the transition temperatures of 26.4, 30.3, 0.9 and 2.8 K at 30 GPa, respectively. Both IrO$_3$ and PtO$_3$ stay superconducting even at the ambient pressure. In ReO$_3$, RuO$_3, $OsO$_3$ and IrO$_3$, the conduction electrons around the Fermi level are dominantly from the X-d and the O-2p orbitals, and their electron-phonon coupling originates from the lattice dynamics of both the heavier transition-metal-atom and the oxygen-atom. Inclusion of spin-orbital coupling would mildly suppress the transition temperatures of these transition-metal trioxide superconductors except RuO$_3$.
Cross-species examination of X-chromosome inactivation highlights domains of escape from silencing
Creators: name: Balaton, Bradley P.
name: Fornes, Oriol
name: Wasserman, Wyeth W.
name: Brown, Carolyn Janet
Publisher: name: BioMed Central
Year: 2021

description: Background: X-chromosome inactivation (XCI) in eutherian mammals is the epigenetic inactivation of one of the two X chromosomes in XX females in order to compensate for dosage differences with XY males. Not all genes are inactivated, and the proportion escaping from inactivation varies between human and mouse (the two species that have been extensively studied). Results: We used DNA methylation to predict the XCI status of X-linked genes with CpG islands across 12 different species: human, chimp, bonobo, gorilla, orangutan, mouse, cow, sheep, goat, pig, horse and dog. We determined the XCI status of 342 CpG islands on average per species, with most species having 80–90% of genes subject to XCI. Mouse was an outlier, with a higher proportion of genes subject to XCI than found in other species. Sixteen genes were found to have discordant X-chromosome inactivation statuses across multiple species, with five of these showing primate-specific escape from XCI. These discordant genes tended to cluster together within the X chromosome, along with genes with similar patterns of escape from XCI. CTCF-binding, ATAC-seq signal and LTR repeats were enriched at genes escaping XCI when compared to genes subject to XCI; however, enrichment was only observed in three or four of the species tested. LINE and DNA repeats showed enrichment around subject genes, but again not in a consistent subset of species. Conclusions: In this study, we determined XCI status across 12 species, showing mouse to be an outlier with few genes that escape inactivation. Inactivation status is largely conserved across species. The clustering of genes that change XCI status across species implicates a domain-level control. In contrast, the relatively consistent, but not universal correlation of inactivation status with enrichment of repetitive elements or CTCF binding at promoters demonstrates gene-based influences on inactivation state. This study broadens enrichment analysis of regulatory elements to species beyond human and mouse.
Whither Bias Goes, I Will Go: An Integrative, Systematic Review of Algorithmic Bias Mitigation
Creators: name: Hickman, Louis
name: Huynh, Christopher
name: Gass, Jessica
name: Booth, Brandon
name: Kuruzovich, Jason
name: Tay, Louis
Publisher: name: arXiv
Year: 2024
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: Machine learning (ML) models are increasingly used for personnel assessment and selection (e.g., resume screeners, automatically scored interviews). However, concerns have been raised throughout society that ML assessments may be biased and perpetuate or exacerbate inequality. Although organizational researchers have begun investigating ML assessments from traditional psychometric and legal perspectives, there is a need to understand, clarify, and integrate fairness operationalizations and algorithmic bias mitigation methods from the computer science, data science, and organizational research literatures. We present a four-stage model of developing ML assessments and applying bias mitigation methods, including 1) generating the training data, 2) training the model, 3) testing the model, and 4) deploying the model. When introducing the four-stage model, we describe potential sources of bias and unfairness at each stage. Then, we systematically review definitions and operationalizations of algorithmic bias, legal requirements governing personnel selection from the United States and Europe, and research on algorithmic bias mitigation across multiple domains and integrate these findings into our framework. Our review provides insights for both research and practice by elucidating possible mechanisms of algorithmic bias while identifying which bias mitigation methods are legal and effective. This integrative framework also reveals gaps in the knowledge of algorithmic bias mitigation that should be addressed by future collaborative research between organizational researchers, computer scientists, and data scientists. We provide recommendations for developing and deploying ML assessments, as well as recommendations for future research into algorithmic bias and fairness.
description: forthcoming in Journal of Applied Psychology
Performance advantage of discriminating one-versus-two incoherent sources based on quantum hypothesis testing
Creators: name: Zhang, Jian-Dong
name: Zhang, Mei-Ming
name: Li, Chuang
name: Wang, Shuai
Publisher: name: arXiv
Year: 2024
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Detecting the presence of multiple incoherent sources is a fundamental and challenging task for quantum imaging, especially within sub-Rayleigh region. In this paper, the discrimination of one-versus-two point-like incoherent sources in symmetric and asymmetric scenarios is studied. We calculate the quantum lower bounds on error probabilities of making a decision after one-shot and multi-shot tests. The results are compared with the error probability of prior-based direct guess, and the minimal number of tests required to make a decision outperforming direct guess is discussed. We also show the asymptotic quantum lower bound for a large number of tests. For practical purposes, we propose a specific strategy along with decision rule of which can work without any prior knowledge. With respect to each of two scenarios, the error probability can approach the quantum lower bound in one-shot test as well as multi-shot test. In addition, the potential challenges and solutions in a realistic scenario are analyzed. Our results may contribute to real-world quantum imaging such as microscopy and astronomy.
Investigating Student Reasoning in Method-Level Code Refactoring: A Think-Aloud Study
Creators: name: Oliveira, Eduardo Carneiro
name: Keuning, Hieke
name: Jeuring, Johan
Publisher: name: arXiv
Year: 2024
Subjects: subject: Software Engineering (cs.SE)
subject: FOS: Computer and information sciences

description: Producing code of good quality is an essential skill in software development. Code quality is an aspect of software quality that concerns the directly observable properties of code, such as decomposition, modularization, and code flow. Code quality can often be improved by means of code refactoring -- an internal change made to code that does not alter its observable behavior. According to the ACM/IEEE-CS/AAAI Computer Science Curricula 2023, code refactoring and code quality are core topics in software engineering education. However, studies show that students often produce code with persistent quality issues. Therefore, it is important to understand what problems students experience when trying to identify and fix code quality issues. In a prior study, we identified a number of student misconceptions in method-level code refactoring. In this paper, we present the findings from a think-aloud study conducted to investigate what students think when working on method-level refactoring exercises. We use grounded theory to identify and classify student reasoning. As a result of the analysis, we identify a set of eight reasons given by students to refactor code, which either concerns the presence of code quality issues, the improvement of software quality attributes, or code semantics. We also analyze which quality issues are identified by students, and to which reasonings these quality issues are related. We found that experienced students reason more often about code quality attributes rather than pointing at a problem they see in the code. Students were able to remove code quality issues in most cases. However, they often overlooked particular issues, such as the presence of a method with multiple responsibilities or the use of a less suitable loop structure.
Joint Analysis of Driving Style and Route Selection: A Framework Based on Driving Rhythm Sequences for Detailed Driving Behavior Insights
Creators: name: Rui, Lu
Publisher: name: figshare
Year: 2024
Subjects: classificationCode: 460106
subject: Spatial data and applications

description: Understanding both route selection preferences and driving styles is essential for improving traffic efficiency and driving experience, yet existing research often examines these aspects separately. Comprehensive spatiotemporal analysis methods typically fall short in providing interpretability or detailed insights into driving behavior. This paper addresses these gaps by proposing a joint analysis framework that combines driving style and route selection preferences for a nuanced explanation of driving behavior. Firstly, vehicle trajectories are represented as base-like symbol codes—Driving Rhythm Sequences (DRS)—which characterize the spatiotemporal state of traffic with fine granularity. The similarity between DRS is measured by identifying the longest similar subsequences, which are then used for clustering to reveal driving behavior patterns. A novel set of driving behavior indicators is derived from the multidimensional semantic perspective of DRS for quantitative analysis.Experimental verification using the Wuhan taxi GPS dataset revealed distinct driving styles and route selection preferences across different periods and distance groups, confirming the effectiveness of the proposed framework. This framework serves as a key tool for improving driving decision-making, offering detailed insights into driving behavior that can enhance both traffic efficiency and driving experience.
From Context to Action: Analysis of the Impact of State Representation and Context on the Generalization of Multi-Turn Web Navigation Agents
Creators: name: Tiwary, Nalin
name: Dongre, Vardhan
name: Chawla, Sanil Arun
name: Lamani, Ashwin
name: Hakkani-Tür, Dilek
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computation and Language (cs.CL)
subject: Artificial Intelligence (cs.AI)
subject: Human-Computer Interaction (cs.HC)
subject: FOS: Computer and information sciences

description: Recent advancements in Large Language Model (LLM)-based frameworks have extended their capabilities to complex real-world applications, such as interactive web navigation. These systems, driven by user commands, navigate web browsers to complete tasks through multi-turn dialogues, offering both innovative opportunities and significant challenges. Despite the introduction of benchmarks for conversational web navigation, a detailed understanding of the key contextual components that influence the performance of these agents remains elusive. This study aims to fill this gap by analyzing the various contextual elements crucial to the functioning of web navigation agents. We investigate the optimization of context management, focusing on the influence of interaction history and web page representation. Our work highlights improved agent performance across out-of-distribution scenarios, including unseen websites, categories, and geographic locations through effective context management. These findings provide insights into the design and optimization of LLM-based agents, enabling more accurate and effective web navigation in real-world applications.
description: 10 pages, 3 figures, 5 tables
The Comparison Between Accuracy of Conventional Versus Digital Implant Impression Techniques in Partial Edentulism: Systematic Review
Creators: name: Joensahakij, Nitchakul
Publisher: name: The Dental Association of Thailand
Year: 2024
Subjects: Conventional impression
Digital impression
Accuracy
Dental implant
Partial edentulism

description: Journal of The Dental Association of Thailand, 74, 4, 156-169
Assessing the Influence of the COVID-19 Pandemic on Dental Care at the Chulalongkorn Dental Hospital through a Comparative Retrospective Study
Creators: name: Uma, Uthai
Publisher: name: The Dental Association of Thailand
Year: 2024
Subjects: COVID-19 outbreak
COVID-19 pandemic
Dental care
Dental treatment
Retrospective study

description: Journal of The Dental Association of Thailand, 74, 4, 170-179
5-year outcomes of salvage endoscopic nasopharyngectomy for recurrent nasopharyngeal carcinoma
Creators: name: Thamboo, Andrew
name: Patel, Vishal S
name: Hwang, Peter H
Publisher: name: BioMed Central
Year: 2021

description: Objective: Recurrent nasopharyngeal carcinoma (rNPC) can be salvaged with re-irradiation, open nasopharyngectomy, and more recently endoscopic nasopharyngectomy. However, long-term outcomes of endoscopic approaches are lacking. Thus, we report 5-year outcomes following endoscopic nasopharyngectomy for rNPC. Methods: Patients who underwent endoscopic nasopharyngectomy for rNPC between January 2000 and January 2012 were retrospectively reviewed. Patients were included if they had their first endoscopic nasopharyngectomy at least 5 years prior to this study. Presenting (cTNM) status and recurrent (rTNM) status for each recurrence was determined. Outcomes included margin status, disease recurrence, death, and complication rates. Results: Thirteen patients were included. Four patients had a prior open nasopharyngectomy. Mean time follow-up was 74.3 months (range = 56.4–96 months). Negative margins were achieved in 77% of initial cases. Positive margins were associated with higher rT stages. Re-recurrence was seen in 6 patients, which was also associated with a higher cStage and rStage. All patients with positive margins had re-recurrence. Four patients required repeat endoscopic nasopharyngectomy and two received chemoradiation. All four with a second endoscopic procedure had further disease recurrence. Five-year local disease-free and overall survival rates were 53.9 and 84.6%, respectively. The minor complication rate was 52.6%, major operative complication rate was 0.0%, and late complication rate was 23.1%. Conclusion: Endoscopic nasopharyngectomy demonstrates promising 5-year overall survival rate for rT1 and rT2 cases of rNPC with favorable complication rates. Lower rStages were associated with a higher disease-free rate, and lower cStages were associated with improved overall prognosis. Close surveillance and prompt management of recurrences can be associated with favorable long-term tumor control. Level of evidence 4 Graphical abstract
Influence of Ceramic Translucency, Ceramic Thickness, and Resin Cement Shades on The Color of CAD-CAM Lithium Disilicate Veneers
Creators: name: Radeesujalitkul, Ploypailin
Publisher: name: The Dental Association of Thailand
Year: 2024
Subjects: Adhesive resin luting cement
Ceramic thickness
Ceramic translucency
Lithium disilicate
Veneer color

description: Journal of The Dental Association of Thailand, 74, 4, 180-187
The Association Between the Histopathological Diagnosis and Lesion Volume in Periapical Lesions
Creators: name: Visarnta, Supanant
Publisher: name: The Dental Association of Thailand
Year: 2024
Subjects: CBCT
Lesion volume
Periapical granuloma
Radicular cyst

description: Journal of The Dental Association of Thailand, 74, 4, 188-196
PG-MFG(codes and data).zip
Creators: name: Zhipeng, Wang
Publisher: name: figshare
Year: 2024
Subjects: classificationCode: 440611
subject: Transport geography

description: Aiming to better capture the spatial heterogeneity in human mobility, we introduce a prior-guided data-driven human mobility model based on the popular graph neural network architecture, which is named Prior-Guided Mobility Flow Generation Network (PG-MFG). We provide an implementation of PG-MFG using the New York dataset as an example.
Factors Related to Orthodontics Treatment Decision Making of Orthodontist for Cleft Lip and Palate Patients in Government Hospitals
Creators: name: Worawiwat, Chinnawes
Publisher: name: The Dental Association of Thailand
Year: 2024
Subjects: Cleft lip and palate
Orthodontic treatment
Orthodontist
Public hospital

description: Journal of The Dental Association of Thailand, 74, 4, 197-203
Transition and text: progress report of a web-based writing resource project
Creators: name: Moore, Timothy
name: Clerehan, Rosemary
name: Crosling, Glenda
name: Price, Steve
name: Searcy, Harriet
name: Turnbull, Jillian
name: Vance, Sheila
Publisher: name: Swinburne
Year: 2024

description: A key element of the transition process for students commencing university study is adapting to new types of writing and researching (Candlin et al. 1998). In relation to academic transition, it is useful to think of two dimensions. The first is clearly a vertical transition from school to the academy (where students are likely to find that writing requirements are somewhat more demanding). The second may be characterised as a lateral transition from one discipline specialism to the next (where students find themselves having to operate in a variety of discursive modes). In this paper, we discuss the development of a web-based writing resource aimed at helping students to negotiate these transitions. The resource seeks to characterise writing practices in a range of disciplines (economics, education, history, law, literature, marketing, management, philosophy, sociology) by drawing on samples of students' work, as well as students' narrated accounts of the writing and research processes they have been engaged in. Comparison will be made with Year 12 writing. This paper will also highlight a number of pedagogical issues that have had to be considered in the early stages of the project, viz; how individual students' experiences can serve as exemplars for others; how specific writing contexts can be generalised and how writing pedagogies can be adapted to the web environment
Copper selects for siderophore-mediated virulence in Pseudomonas aeruginosa: code
Creators: name: Lear, Luke
name: Hesse, Elze
name: Buckling, Angus
name: Vos, Michiel
Publisher: name: Zenodo
Year: 2022

description: The R code to carry out all analyses and to create all of the data figures for 'Copper selects for siderophore-mediated virulence in Pseudomonas aeruginosa'. The data can be found at DOI: 10.5281/zenodo.6522095.
Design of growth-coupled measurements of orthogonal aminoacyl-tRNA synthetase function
Creators: name: Kelly, Peter
name: Cortade, Dana
name: Ross, David
name: Thyer, Ross
Publisher: name: Zenodo
Year: 2024

description: Engineering highly selective orthogonal aminoacyl-tRNA synthetase (aaRS) variants for non-canonical amino acid (ncAAs) incorporation into proteins has proven extremely challenging but is vitally important as many of the most impactful applications of ncAAs are intolerant of heterogeneity in the protein sequence and thus require near perfect incorporation efficiency and substrate selectivity, e.g., the development of novel catalytic sites and biologics. We propose using an established, automated workcell for high-throughput fitness landscape measurement developed by collaborators at NIST, to generate an open-source, global genotype-phenotype map spanning all residues in the Methanocaldococcus jannaschii tyrosyl-tRNA synthetase, one of the most widely used tools for genetic code expansion and chemical biology.
Guia médico afirmativo de competências profissionais no atendimento para pessoas LGBTQIA+
Creators: name: PEREIRA, Natalian Mota
name: Faculdade de Medicina de Itajubá
Publisher: name: Zenodo
Year: 2024

description: O Guia Médico Afirmativo de Competências Profissionais no Atendimento para Pessoas LGBTQIAPN+, criado em 2023, é um recurso essencial para profissionais de saúde que buscam oferecer um atendimento inclusivo, respeitoso e informado, às pessoas LGBTQIAPN+. Este guia foi desenvolvido com o objetivo de proporcionar orientações práticas, garantindo que todos os pacientes recebam cuidados de qualidade, livres de discriminação e preconceito. A importância deste guia reside na necessidade urgente de capacitar os profissionais de saúde para lidar com as demandas específicas da população LGBTQIAPN+, que frequentemente enfrenta barreiras no acesso a cuidados médicos adequados. Ao promover uma abordagem centrada no respeito à diversidade, o guia visa reduzir as disparidades de saúde e melhorar os resultados clínicos para essa população. Ele também serve como um marco na luta contra a marginalização e o estigma, fortalecendo a confiança entre pacientes LGBTQIAPN+ e os sistemas de saúde, e assegurando que o atendimento seja não apenas tecnicamente competente, mas também compassivo e culturalmente sensível.
Book review: 'e-topia: ''Urban life, Jim - but not as we know it''', by William J. Mitchell
Creators: name: Tofts, Darren
Publisher: name: Swinburne
Year: 2024

description: Review of the book 'e-topia: 'Urban life, Jim---but not as we know it'', written by William J. Mitchell and published by MIT Press, Cambridge, Massachusetts, 1999 (ISBN 0262133555).
Blockchain-Enabled Edge Intelligence for IoT: Background, Emerging Trends and Open Issues
Creators: name: Du, Yao
name: Wang, Zehua
name: Leung, Victor Chung Ming, 1955-
Publisher: name: Multidisciplinary Digital Publishing Institute
Year: 2021

description: Blockchain, a distributed ledger technology (DLT), refers to a list of records with consecutive time stamps. This decentralization technology has become a powerful model to establish trust among trustless entities, in a verifiable manner. Motivated by the recent advancement of multi-access edge computing (MEC) and artificial intelligence (AI), blockchain-enabled edge intelligence has become an emerging technology for the Internet of Things (IoT). We review how blockchain-enabled edge intelligence works in the IoT domain, identify the emerging trends, and suggest open issues for further research. To be specific: (1) we first offer some basic knowledge of DLT, MEC, and AI; (2) a comprehensive review of current peer-reviewed literature is given to identify emerging trends in this research area; and (3) we discuss some open issues and research gaps for future investigations. We expect that blockchain-enabled edge intelligence will become an important enabler of future IoT, providing trust and intelligence to satisfy the sophisticated needs of industries and society.
A Lecture Course on Polarisation and Hyperpolarisation in NMR Spectroscopy
Creators: name: Berger, Stefan
Publisher: name: figshare
Year: 2022
Subjects: subject: 30505 Physical Organic Chemistry
subject: FOS: Chemical sciences

description: This lecture co
 urse was given for the fi rst time in 2011 at the University
 Leipzig for German and international diploma or master and graduate students. This lecture course was designed for one German term comprising 14 hours in total, and, in addition, 6 hours of a seminar to discuss the solutions of the assignments, and three practical training sessions of 3 hours each. Students who took the written examination could obtain 5 ETS points. Now, after retirement, I have time to provide the content in an updated text and in a proper graphical form including the assignments and their solutions.
A Lecture Course on Polarisation and Hyperpolarisation in NMR Spectroscopy
Creators: name: Berger, Stefan
Publisher: name: figshare
Year: 2022
Subjects: subject: 30505 Physical Organic Chemistry
subject: FOS: Chemical sciences

description: This lecture course was given for the fi rst time in 2011 at the University Leipzig for German and international diploma or master and graduate students. This lecture course was designed for one German term comprising 14 hours in total, and, in addition, 6 hours of a seminar to discuss the solutions of the assignments, and three practical training sessions of 3 hours each. Students who took the written examination could obtain 5 ETS points. Now, after retirement, I have time to provide the content in an updated text and in a proper graphical form including the assignments and their solutions.
Digital divides: framing the issues
Creators: name: Meredyth, Denise
name: Thomas, Julian
Publisher: name: Swinburne
Year: 2024

description: This paper reviews expectations about the potentially radical impact of information and communication technologies on forms of governance. The relations between politics, government and new communications technologies are highly contentious. While community networks proliferate, and governments press ahead with new models of electronic service delivery and information provision, arguments over the ramifications of information technology have become a prominent feature in fields from social policy to media law.
Improving Domain Generalization in Self-supervised Monocular Depth Estimation via Stabilized Adversarial Training
Creators: name: Yao, Yuanqi
name: Wu, Gang
name: Jiang, Kui
name: Liu, Siao
name: Kuai, Jian
name: Liu, Xianming
name: Jiang, Junjun
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Learning a self-supervised Monocular Depth Estimation (MDE) model with great generalization remains significantly challenging. Despite the success of adversarial augmentation in the supervised learning generalization, naively incorporating it into self-supervised MDE models potentially causes over-regularization, suffering from severe performance degradation. In this paper, we conduct qualitative analysis and illuminate the main causes: (i) inherent sensitivity in the UNet-alike depth network and (ii) dual optimization conflict caused by over-regularization. To tackle these issues, we propose a general adversarial training framework, named Stabilized Conflict-optimization Adversarial Training (SCAT), integrating adversarial data augmentation into self-supervised MDE methods to achieve a balance between stability and generalization. Specifically, we devise an effective scaling depth network that tunes the coefficients of long skip connection and effectively stabilizes the training process. Then, we propose a conflict gradient surgery strategy, which progressively integrates the adversarial gradient and optimizes the model toward a conflict-free direction. Extensive experiments on five benchmarks demonstrate that SCAT can achieve state-of-the-art performance and significantly improve the generalization capability of existing self-supervised MDE methods.
description: Accepted to ECCV 2024
Behavioral Sequence Modeling with Ensemble Learning
Creators: name: Kawawa-Beaudan, Maxime
name: Sood, Srijan
name: Palande, Soham
name: Mani, Ganapathy
name: Balch, Tucker
name: Veloso, Manuela
Publisher: name: arXiv
Year: 2024
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences

description: We investigate the use of sequence analysis for behavior modeling, emphasizing that sequential context often outweighs the value of aggregate features in understanding human behavior. We discuss framing common problems in fields like healthcare, finance, and e-commerce as sequence modeling tasks, and address challenges related to constructing coherent sequences from fragmented data and disentangling complex behavior patterns. We present a framework for sequence modeling using Ensembles of Hidden Markov Models, which are lightweight, interpretable, and efficient. Our ensemble-based scoring method enables robust comparison across sequences of different lengths and enhances performance in scenarios with imbalanced or scarce data. The framework scales in real-world scenarios, is compatible with downstream feature-based modeling, and is applicable in both supervised and unsupervised learning settings. We demonstrate the effectiveness of our method with results on a longitudinal human behavior dataset.
The association of a genetic variant in CDKN2A/B gene and the risk of colorectal cancer
Creators: name: Rahmani, Farzad
name: Avan, Amir
name: Amerizadeh, Forouzan
name: Ferns, Gordon A.
name: Talebian, Sahar
name: Shahidsales, Soodabeh
Publisher: name: IfADo - Leibniz Research Centre for Working Environment and Human Factors, Dortmund
Year: 2020
Subjects: colorectal cancer
CDKN2A/B
polymorphism

description: Colorectal cancer is among the most aggressive tumors, and its development involves an interplay between various genetic and environmental familial risk factors. Several genetic polymorphisms have been reported to be associated with colorectal cancer in recent studies. In this current study, we aimed to evaluate the possible relationship between a CDKN2A/B, single nucleotide polymorphisms (SNP) (rs10811661), with the risk of colorectal cancer. A total of 541 individuals with, or without cancer were recruited. DNA was extracted, and genotyped using a Taq-Man based real‐time PCR method. The rs10811661 SNP was associated with an increased risk of colorectal cancer (additive model: OR=3.46, CI= 1.79-6.69, p<0.0001 and recessive model: 5.72, CI= 3.12-10.49, p<0.0001). The distribution of minor alleles in the total population for homozygote allele was 9.2 %, while this was 20.1 % for heterozygotes. In summary, our findings indicate that the rs10811661 polymorphism of the CDKN2A/B gene was strongly related to the occurrence of colorectal cancer suggesting its potential role as a prognostic biomarker for the management of colorectal cancer.
description: EXCLI Journal; 19:Doc1316; ISSN 1611-2156
title: Инновационный вектор развития традиционной писательской организации (на примере работы Совета Молодых литераторов Союза Писателей России)
Creators: name: Огарева, Е. И.
name: Круглов, Р. Г.
Publisher: name: Реноме
Year: 2019

description: Статья посвящена анализу деятельности Совета молодых литераторов Союза писателей России. Обосновывается позитивная роль творческих объединений в направлении нравственного развития современной молодежи. Противопоставляется популярная в обществе негативная установка относительно ценностных ориентаций молодого поколения и реальный пример просоциального движения молодых литераторов.
Ключевые слова: молодежь, молодежная организация, структура организации, литературное объединение, ценностные ориентации, Совет молодых литераторов, Союз писателей России.
ESSAYS ON FINANCIAL ECONOMICS AND TECHNOLOGY
Creators: name: Liu, Jiacheng
Publisher: name: Purdue University Graduate School
Year: 2025
Subjects: classificationCode: 350202
subject: Finance
classificationCode: 380107
subject: Financial economics
classificationCode: 460299
subject: Artificial intelligence not elsewhere classified
classificationCode: 460401
subject: Cryptography

description: ESSAYS ON FINANCIAL ECONOMICS AND TECHNOLOGY
Negative attitudes about facemasks during the COVID-19 pandemic : The dual importance of perceived ineffectiveness and psychological reactance
Creators: name: Taylor, Steven, 1960-
name: Asmundson, Gordon J. G.
Publisher: name: PLoS
Year: 2021

description: This study reports a comprehensive empirical investigation of the nature and correlates of anti-mask attitudes during the COVID-19 pandemic. Accumulating evidence underscores the importance of facemasks, as worn by the general public, in limiting the spread of infection. Accordingly, mask wearing has become increasingly mandatory in public places such as stores and on public transit. Although the public has been generally adherent to mask wearing, a small but vocal group of individuals refuse to wear masks. Anti-mask protest rallies have occurred in many places throughout the world, sometimes erupting violently. Few empirical studies have examined the relationship between anti-mask attitudes and mask non-adherence and little is known about how such attitudes relate to one another or other factors (e.g., non-adherence to social distancing, anti-vaccination attitudes). To investigate these issues, the present study surveyed 2,078 adults from the US and Canada. Consistent with other surveys, we found that most (84%) people wore masks because of COVID-19. The 16% who did not wear masks scored higher on most measures of negative attitudes towards masks. Network analyses indicated that negative attitudes about masks formed an intercorrelated network, with the central nodes in the network being (a) beliefs that masks are ineffective in preventing COVID-19, and (b) psychological reactance (PR; i.e., an aversion to being forced to wear masks). These central nodes served as links, connecting the network of anti-masks attitudes to negative attitudes toward SARSCoV2 vaccination, beliefs that the threat of COVID-19 has been exaggerated, disregard for social distancing, and political conservatism. Findings regarding PR are important because, theoretically, PR is likely to strengthen other anti-masks attitudes (e.g., beliefs that masks are ineffective) because people with strong PR react with anger and counter-arguments when their beliefs are challenged, thereby leading to a strengthening of their anti-mask beliefs. Implications for improving mask adherence are discussed.