cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
An Exergetic Comparison of Copper Extraction from Chalcopyrite Concentrates by Pyrometallurgy and Hydrometallurgy
Creators: name: Mather, Paul
Publisher: name: Purdue University Graduate School
Year: 2020
Subjects: subject: 91207 Metals and Alloy Materials
subject: FOS: Materials engineering
subject: 91299 Materials Engineering not elsewhere classified

description: Copper is an essential metal in today’s economy, due to its superior electrical and thermal conductivities, alloying properties, and chemical uses. Most copper is produced viamining and refining, and most copper is found in the earth’s crust as chalcopyrite, CuFeS2. Typically, chalcopyrite is concentrated and fed to a high temperature pyrometallurgical process which produces >99.99% purity copper cathodes. Recently, Freeport-McMoRan Inc. has implemented a hydrometallurgical autoclave-leaching process that takes chalcopyrite concentrate and produces copper cathodes. It is imperative that these pyrometallurgical and hydrometallurgical processes be modeled and compared so that the extraction industry can best decide which technology to apply in the future. This work presents transient, reduced-order models for the comparison of the two processes using exergy balances. Exergy is typically thought of as the maximum work extractable from a system as it spontaneously reacts to the state of the surrounding environment; for extractive processes, it is also helpful to think of exergy as the minimum work required to effect a concentration, e.g. of copper. Exergy balances are thus similar to first law balances, but they comment on the location and magnitude of usefulenergy flows, instead of energy flows in general. For the baseline case, this work found that the pyrometallurgical process up to 99.5% copper anode stored 54% of the fed exergy in product, lost 20% of the fed exergy, and destroyed the remaining 26%. In contrast, the hydrometallurgical process up to 30 grams-per-liter copper pregnant-leach-solution stored 5% of the fed exergy in product, lost 9% of the fed exergy, and destroyed the remaining 86%. The effects of process variations are also looked at. It is recommended that this work be incorporated in whole-plant exergy balances to more precisely examine the tradeoffs between the pyrometallurgical and hydrometallurgical routes of copper extraction from chalcopyrite concentrates.
HDBFormer: Efficient RGB-D Semantic Segmentation with A Heterogeneous Dual-Branch Framework
Creators: name: Wei, Shuobin
name: Zhou, Zhuang
name: Lu, Zhengan
name: Yuan, Zizhao
name: Su, Binghua
Publisher: name: arXiv
Year: 2025
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: In RGB-D semantic segmentation for indoor scenes, a key challenge is effectively integrating the rich color information from RGB images with the spatial distance information from depth images. However, most existing methods overlook the inherent differences in how RGB and depth images express information. Properly distinguishing the processing of RGB and depth images is essential to fully exploiting their unique and significant characteristics. To address this, we propose a novel heterogeneous dual-branch framework called HDBFormer, specifically designed to handle these modality differences. For RGB images, which contain rich detail, we employ both a basic and detail encoder to extract local and global features. For the simpler depth images, we propose LDFormer, a lightweight hierarchical encoder that efficiently extracts depth features with fewer parameters. Additionally, we introduce the Modality Information Interaction Module (MIIM), which combines transformers with large kernel convolutions to interact global and local information across modalities efficiently. Extensive experiments show that HDBFormer achieves state-of-the-art performance on the NYUDepthv2 and SUN-RGBD datasets. The code is available at: https://github.com/Weishuobin/HDBFormer.
description: 6 pages, 4 figures, published to IEEE Signal Processing Letter
Molecular adsorption of butene isomers on hydrogenated fullerite C24 nanosheets based on first-principles study
Creators: name: Nagarajan, V.
name: Tejaswini, Rajamahanthi
name: Chandiramouli, R.
Publisher: name: Taylor & Francis
Year: 2025
Subjects: subject: Biochemistry
subject: Biotechnology
subject: Evolutionary Biology
subject: FOS: Biological sciences
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Cancer

description: Cis-2-butene and trans-2-butene are highly flammable and hazardous vapours that are commonly evolved in the production of various chemicals, such as plastics, rubbers, and resins. In this research work, we used hydrogenated fullerite C24 nanosheets as a sensing material to detect cis-2-butene and trans-2-butene. Firstly, the structural firmness of hydrogenated fullerite C24 is studied through the cohesive formation energy. Furthermore, the PDOS maps and energy band structures are utilised to comprehend the electronic properties of the base material. The band gap of hydrogenated fullerite C24 nanosheets has been calculated to be 2.785 eV. By analysing the adsorption energy, Mulliken charge transfer, and relative band gap variations, we can understand the adsorption properties of cis-2-butene and trans-2-butene isomers on the base material. The adsorption energies ranging from – 0.256 to – 1.752 eV confirm that both cis-2-butene and trans-2-butene are physically adsorbed on hydrogenated fullerite C24. Altogether, the results conclude that hydrogenated fullerite C24 could detect hazardous cis-2-butene and trans-2-butene vapours in the vicinity.
Probing the native state of poly-proteins by mechanical force
Creators: name: Chen, Jian-yu
Publisher: name: Purdue University Graduate School
Year: 2021
Subjects: Animal physiology - biophysics
Human biophysics

description: The folding and unfolding processes of poly-protein has been tremendously studied recently. The poly-protein dynamics under an external force can play an important role in addressing the issue of the mechanics of muscle tissue. In this research, we use a single-molecule technique: magnetic tweezers to observe the dynamics of 8-mer poly-protein L under different loads applied and then in different Tris-buffered salines. Our result shows that more protein domains unfold as the force load becomes larger. At 6, 7 and 8 pN loads, the poly-protein is most likely to stay in state 1, 3 and 6 with 1, 3 and 6 domains unfolded, respectively according to the probability distribution. This can be well explained by our constructed free energy-related model. The fit results give protein L parameters of persistence length of 0.4 nm, contour length of 18.8 nm and the unfolding energy of 6.5 kT, all in reasonable ranges based on previously reported literature. Besides, we also find the dependency of transition rate on force load and salt. The poly-protein has lower transition rate at high force than at low force due to the free energy tilting effect since high force extremely decreases the possibility of protein unfolding that results in a huge drop in the total number of folding and unfolding events. This inverse proportion effect can also be seen in different TRIS-buffered salines (TRIS-150mM NaCl, TRIS-1M NaCl, and TRIS-1M KCl,). We explore the effect of salt concentration, when the concentration of NaCl is increased, the transition rate increases while the probability distribution remains almost the same, indicating the protein unfolding barrier is lowered without altering the overall energy landscape. We attribute this to, first, the charge shielding effect that more interactions between ions and water molecules occur, causing fewer water molecules available to interact with the charged part of protein than before, and, second, more direct interactions of ions with protein that might affect the electrostatic-related transition rate. Considering the effect of salt type, the two 1M alkali metal-chloride salines are compared. We conclude that ions with larger size have less effect on transition rate because ions with smaller size (Na+) can create stronger bonds with water that increase the interference on the protein interaction with water and can easier penetrate into protein to directly interact with the protein.
sj-docx-1-smo-10.1177_20503121211040050 – Supplemental material for Anxiety and depression symptoms in older adults during coronavirus disease 2019 pandemic: A community-based cross-sectional study
Creators: name: Jemal, Kemal
name: Geleta, Tinsae Abeya
name: Deriba, Berhanu Senbeta
name: Awol, Mukemil
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences
subject: Cardiology
subject: 110599 Dentistry not elsewhere classified
subject: FOS: Clinical medicine
subject: 110305 Emergency Medicine
subject: 110306 Endocrinology
subject: 110308 Geriatrics and Gerontology
subject: 110904 Neurology and Neuromuscular Diseases
subject: 111099 Nursing not elsewhere classified
subject: 111199 Nutrition and Dietetics not elsewhere classified
subject: 111299 Oncology and Carcinogenesis not elsewhere classified
subject: 110314 Orthopaedics
subject: 110604 Sports Medicine
subject: 110315 Otorhinolaryngology
subject: 111702 Aged Health Care
subject: 111403 Paediatrics
subject: 111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified
subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology
subject: 110319 Psychiatry (incl. Psychotherapy)
subject: 111799 Public Health and Health Services not elsewhere classified
subject: 110203 Respiratory Diseases
subject: 160807 Sociological Methodology and Research Methods
subject: FOS: Sociology
subject: 110323 Surgery
subject: 70706 Veterinary Medicine
subject: FOS: Veterinary sciences

description: Supplemental material, sj-docx-1-smo-10.1177_20503121211040050 for Anxiety and depression symptoms in older adults during coronavirus disease 2019 pandemic: A community-based cross-sectional study by Kemal Jemal, Tinsae Abeya Geleta, Berhanu Senbeta Deriba and Mukemil Awol in SAGE Open Medicine
Ensuring the Safe Evolution of Fundamental Intelligence: Risk Management and Control Mechanisms
Creators: name: Fedotov, Anton
name: SynqraTech
Publisher: name: Zenodo
Year: 2025

description: Fundamental Intelligence (FI) represents a novel paradigm of self-organizing computational systems capable of continuous adaptation and optimization without predefined models or centralized control. Unlike traditional Artificial Intelligence (AI), FI restructures its own operational logic in real-time, making it inherently unpredictable and requiring a distinct approach to safety and governance. This paper explores key risks associated with FI, including uncontrolled evolution, unpredictability, self-sustaining autonomy, and regulatory challenges. We propose structured risk mitigation strategies, including constrained evolution thresholds, external validation layers, controlled distribution, and autonomy boundaries. By establishing transparency, oversight, and ethical safeguards, we aim to ensure that FI remains a controllable and beneficial technology, balancing adaptability with security.
sj-pdf-1-cps-10.1177_00104140211036033 – Supplemental Material for Nationalism, Class, and Status: How Nationalists Use Policy Offers and Group Appeals to Attract a New Electorate
Creators: name: Howe, Philip J.
name: Szöcsik, Edina
name: Zuber, Christina I.
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 160607 International Relations
subject: FOS: Political science

description: Supplemental Material, sj-pdf-1-cps-10.1177_00104140211036033 for Nationalism, Class, and Status: How Nationalists Use Policy Offers and Group Appeals to Attract a New Electorate by Philip J. Howe, Edina Szöcsik and Christina I. Zuber in Comparative Political Studies
A Realistic Collimated X-Ray Image Simulation Pipeline
Creators: name: El-Zein, Benjamin
name: Eckert, Dominik
name: Weber, Thomas
name: Rohleder, Maximilian
name: Ritschl, Ludwig
name: Kappler, Steffen
name: Maier, Andreas
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Artificial Intelligence (cs.AI)
subject: Medical Physics (physics.med-ph)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: Collimator detection remains a challenging task in X-ray systems with unreliable or non-available information about the detectors position relative to the source. This paper presents a physically motivated image processing pipeline for simulating the characteristics of collimator shadows in X-ray images. By generating randomized labels for collimator shapes and locations, incorporating scattered radiation simulation, and including Poisson noise, the pipeline enables the expansion of limited datasets for training deep neural networks. We validate the proposed pipeline by a qualitative and quantitative comparison against real collimator shadows. Furthermore, it is demonstrated that utilizing simulated data within our deep learning framework not only serves as a suitable substitute for actual collimators but also enhances the generalization performance when applied to real-world data.
title: Experiencing Contingency: Towards a Political Theory of Images
Creators: name: Jeandrée, Philipp
Publisher: name: Goldsmiths, University of London
Year: 2016
Subjects: subject: contingency, visual politics, political theory, image studies, affect

description: The aim of this thesis is to explore the relationship between modern political thinking and aesthetic image-making through the conceptual framework of contingency. The focus on contingency takes account of the ambiguity and indeterminacy of visual perception and offers a language to describe the political potency of visual images in various historical contexts. The political potency of images is understood in terms of their affective intensities and material presence rather than ideological suspicion or propagandist seduction. In so doing, a case is made for reconsidering the traditional image scepticism (or indifference) in political theory and for recognising visual aesthetic practices as distinct modes of political thinking. I interpret political images as gestures towards the complexity and vulnerability of our social arrangements, indicating that the way we see the world, and show it to each other, could always be otherwise. Drawing on rulers’ portraits, war photography and essay films, from the French Revolution to the present time, I show how visual aesthetic practices can reflect, complement and challenge the way we think about political concepts such as sovereignty, accountability or collective agency in different historical moments. Instead of following a modernist belief in the power of art to induce profound social change, this thesis describes the potency of the visual as micropolitical intensities that potentially modify habitual ways of thinking (and acting), provided that aesthetic experiences can connect to already existing moods or dispositions. This micropolitical potency of visual images does not necessarily constitute a particularly strong or reliable politics, but it is exactly its indeterminacy, as well as its constant risk of failure, that harbours the potential to generate new sensibilities towards the world. Taking visual images seriously, not only as worthwhile objects of political research but just as much as distinct modes of thinking, can therefore help us to stronger acknowledge the vital role affective, imaginative and speculative elements have always played for the understanding and justification of our social arrangements.
Additional file 6 of Using intervention mapping to develop evidence-based toolkits that support workers on long-term sick leave and their managers
Creators: name: Varela-Mato, Veronica
name: Blake, Holly
name: Yarker, Joanna
name: Godfree, Kate
name: Daly, Guy
name: Hassard, Juliet
name: Meyer, Caroline
name: Kershaw, Charlotte
name: Marwaha, Steven
name: Newman, Kristina
name: Russell, Sean
name: Thomson, Louise
name: Munir, Fehmidah
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Science Policy
subject: Mental Health
subject: Infectious Diseases
subject: FOS: Health sciences

description: Additional file 6. Summary of selected theories. It includes a description of the theoretical change methods to change behaviour from our stated change objectives and a summary of the theories and their determinants.
sj-pdf-1-pic-10.1177_09544062211042410 - Supplemental material for Contribution of Lamb wave modes in the formation of higher order modes cluster (HOMC) guided waves
Creators: name: Abbasi, Z
name: Honarvar, F
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 99999 Engineering not elsewhere classified
subject: FOS: Other engineering and technologies

description: Supplemental material, sj-pdf-1-pic-10.1177_09544062211042410 for Contribution of Lamb wave modes in the formation of higher order modes cluster (HOMC) guided waves by Z Abbasi and F Honarvar in Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science
Supplementary table, figures and DNA sequences of sorghum gene models SbiRTx430.01G455400 and SbiRTx.02G006600 that feature primers, gRNAs and indels created
Creators: name: Clemente, Tom
name: Quach, Truyen
name: Guo, Ming
name: Nazarenus, Tara
name: Sato, Shirley
name: Wang, Mary
name: Zhang, Tieling
name: Nersesian, Natalya
name: Ge, Zhengxiang
name: Ullagaddi, Chidanand
name: Li, Mu
name: Yu, Bin
name: Schnable, James
Publisher: name: Zenodo
Year: 2025
Subjects: Sb.PEPCK.BS
Sb.AlaAT.BS
promoter bashing
Genome editing

description: In-context promoter bashing via genome editing is a route to identify and characterize critical regulatory regions that govern expression of genes of interest. The outcomes of in-context promoter bashing can be used to inform editing strategies to modulate the expression of selected gene models in a desired fashion. Here we employed in-context promoter bashing to characterize the proximal upstream regulatory regions of sorghum genes encoding phosphoenolpyruvate carboxykinase (Sb.PEPCK.BS, SbiTx430.01G455400) and alanine aminotransferase (SbiTx430.02G006600, SbAlaAT.BS), two proteins involved in the PCK C4 pathway. Characterized germinal edits within the targeted regions upstream of these two genes ranged in size from 138 bp up to 1790 bp. A 138 bp within the Sb.PEPCK.BS upstream region and a 1643 bp element within the Sb.AlaAT.BS upstream region were determined to be important for maintenance of transcription levels. No change in development or various physiological parameters was observed in characterized lineages carrying promoter edits. However, significant changes in seed reserves and a reduction in 100 seed weight were consistently observed, under both greenhouse and field environments, in plants carrying an edit in the promoter of Sb.PEPCK.BS gene were significantly reduced in transcript accumulation for this gene.
description: Funding provided by: Department of Energy and EnvironmentROR ID: https://ror.org/05d5hbz44Award Number: DE-SC0018420
Additional file 1 of Recreational cannabis legalization and immigration enforcement: a state-level analysis of arrests and deportations in the United States, 2009–2020
Creators: name: Bruzelius, Emilie
name: Martins, Silvia S.
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Cell Biology
subject: Pharmacology
subject: Biotechnology
subject: Ecology
subject: FOS: Biological sciences
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Science Policy
subject: Mental Health

description: Supplementary Material 1
Developing a Web-Based Data Analysis and Forecasting Application for Two Businesses
Creators: name: Ho, Mony
Publisher: name: Zenodo
Year: 2024
Subjects: Data Analysis
Predictive Modeling
Apache Hadoop
Django
AWS (Amazon Web Services)

description: This research paper was submitted to complete MSITDS 680 Capstone Project in IT and Data Science course as a part of the MSc in IT and Data Science program at European International University, Paris, France. This paper aims to  build a centralized, cloud-based data analysis platform using big data tools, machine learning, and web development. Total marks allocated and achieved 82 of 100 marks.
THE EFFECT OF COMPS-BASED PROBLEM POSING INTERVENTION ON ENHANCING MATH PERFORMANCE OF STUDENTS WITH LEARNING DISABILITIES
Creators: name: Yang, Xuan
Publisher: name: Purdue University Graduate School
Year: 2020
Subjects: Education assessment and evaluation

description: In educational research, the cognitive activity of problem posing is recognized as an important component of mathematics teaching and learning. Compared to the prevailing educational paradigm of problem solving, problem posing features less commonly in classroom instruction. During the past 20 years, numerous studies examining the use of problem posing in school mathematics instruction have documented positive outcomes in terms of students’ knowledge, problem-solving abilities, creativity, and attitudes and beliefs regarding the study of mathematics. However, despite these promising results, problem posing in mathematics instruction has rarely been studied in the population of students with learning disabilities (LDs). This study describes a problem-posing intervention that draws on existing Conceptual Model-based Problem Solving program (COMPS, Xin, 2012) and conceptual research into the problem posing task. The COMPS-based problem posing intervention is designed to teach word problem posing skills to students with LDs under structured problem posing situations. The study applies a single-subject multiple-baseline design across three participants to investigate the effects on participants’ word problem solving and problem posing skills. The results showed that all three students demonstrated increased math performance on both problem solving and problem posing tests when the COMPS-based Problem Posing intervention was used. In addition, both immediate and maintenance effects on student learning were noted.
ASSESSMENT OF WATER USE AND INDIRECT WATER REUSE IN A LARGE SCALE WATERSHED: THE WABASH RIVER
Creators: name: Wiener, Maria Julia
Publisher: name: Purdue University Graduate School
Year: 2020
Subjects: Environmental engineering not elsewhere classified

description: In the context of climate change, increasing demands for freshwater make it necessary to manage our water resources in a sustainable way and find innovative ways to extend their life. An integrated water management approach needs to consider anthropogenic water use and reuse which represent major components of the current water cycle. In particular, unplanned, or de facto, indirect water reuse occurs in most of the U.S. river systems; however, there is little real-time documentation of it. Despite the fact that there are national and state agencies that systematically collect data on water withdrawals and wastewater discharges, their databases are organized and managed in a way that limits the ability to combine reported water data to perform large scale analysis about water use and indirect reuse. To better document these issues and to demonstrate the utility of such an analysis, I studied the Wabash River Watershed located in the U.S. Midwest. Existing data for freshwater extraction, use, discharge, and river streamflow were collected, curated and reorganized in order to characterize the water use and reuse within the basin. Indirect water reuse was estimated by comparing treated wastewater discharges with stream flows at selected points within the watershed. Results show that during the low flow months of July-October 2007, wastewater discharges into the Wabash River basin contributed 82 to 121% of the stream flow, demonstrating that the level of water use and unplanned reuse is significant. These results suggest that intentional water reuse for consumptive purposes such as landscape or agricultural irrigation could have substantial ecological impacts by diminishing stream flow during vulnerable low flow periods. This research also completed a time series watershed-scale analysis of water use and unplanned indirect reuse for the Wabash River Watershed from 2009 to 2017. Results document the occurrence of indirect water reuse over time, ranging from 3% to 134% in a water-rich area of the U.S. The time series analysis shows that reported data effectively describe the water use trends through nine years, clearly reflecting both anthropogenic and natural events in the watershed, such as the retirement of thermoelectric power plants, and the occurrence of an extreme drought in 2012. Results demonstrate the feasibility and significance of using available water datasets to perform large scale water use analysis, describe limitations encountered in the process, and highlight areas for improvement in water data management.
sj-pdf-1-cre-10.1177_02692155211040727 – Supplemental material for Economic analysis of the ‘Take Charge’ intervention for people following stroke: Results from a randomised trial
Creators: name: Te Ao, Braden
name: Harwood, Matire
name: Fu, Vivian
name: Weatherall, Mark
name: McPherson, Kathryn
name: Taylor, William J
name: McRae, Anna
name: Thomson, Tom
name: Gommans, John
name: Green, Geoff
name: Ranta, Annemarei
name: Hanger, Carl
name: Riley, Judith
name: McNaughton, Harry
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 110904 Neurology and Neuromuscular Diseases
subject: FOS: Clinical medicine
subject: 110314 Orthopaedics
subject: 110604 Sports Medicine
subject: FOS: Health sciences

description: Supplemental material, sj-pdf-1-cre-10.1177_02692155211040727 for Economic analysis of the ‘Take Charge’ intervention for people following stroke: Results from a randomised trial by Braden Te Ao, Matire Harwood, Vivian Fu, Mark Weatherall, Kathryn McPherson, William J Taylor, Anna McRae, Tom Thomson, John Gommans, Geoff Green, Annemarei Ranta, Carl Hanger, Judith Riley and Harry McNaughton in Clinical Rehabilitation
USTOZ-SHOGIRDLIK AN'ANASI VA AMALIY SAN'ATDA KULOLCHILIKNING O'RNI
Creators: name: Ruziyev, Nuriddin
name: Salamova, Zulayxo
Publisher: name: Zenodo
Year: 2025

description: Maqolada ustoz-shogirdlik an’analarining hunarmandchilik, xususan, kulolchilik san’ati rivojiga ta’siri yoritiladi. Amaliy san’at ta’lim yo‘nalishi talabalarida qadriyatlarni shakllantirish, shuningdek, kulolchilik buyumlarining yaratilish tarixi va texnologik jarayonlari tahlil qilinadi. Misr, Xitoy va O‘zbekiston kulolchilik maktablari hamda ularning amaliy san’atga qo‘shgan hissasi muhokama qilinadi. Shuningdek, maqolada zamonaviy hunarmandchilik rivoji, texnologik yangiliklar va ta’lim jarayonida innovatsion yondashuvlar haqida ham fikr yuritiladi.
Additional file 1 of Association between 5-year change in cardiovascular risk and the incidence of atherosclerotic cardiovascular diseases: a multi-cohort study
Creators: name: Yi, Jiayi
name: Wang, Lili
name: Guo, Xinli
name: Ren, Xiangpeng
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Cancer

description: Additional file 1: Figure S1. Study Selection Flowchart. Table S1. Characteristics of Study Participants by Study Cohorts. Figure S2. Associations between the 5-year ASCVD risk status change patterns and subsequent ASCVD incidence stratified by age, sex, and race (with consistently high as the reference). Figure S3. Associations between the 5-year ASCVD risk status change patterns and subsequent ASCVD incidence stratified by age, sex, and race (with consistently non-high as the reference). Figure S4. Hazard ratios and 95% confidence intervals for incident atherosclerotic cardiovascular disease per 5% decrease in PCE risk score over 5-year intervals stratified by risk change patterns. Figure S5. Hazard ratios and 95% confidence intervals for incident atherosclerotic cardiovascular disease per 5% increase in PCE risk score over 5-year intervals stratified by risk change patterns. Table S2. Sensitivity analysis by excluding participants with ASCVD incidence that occurred during the first 3-year follow-up. Table S3. Sensitivity analysis by excluding participants with borderline risk (5-7.5%) at baseline
On the Cost of Model-Serving Frameworks: An Experimental Evaluation
Creators: name: De Rosa, Pasquale
name: Bromberg, Yérom-David
name: Felber, Pascal
name: Mvondo, Djob
name: Schiavoni, Valerio
Publisher: name: arXiv
Year: 2024
Subjects: subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: In machine learning (ML), the inference phase is the process of applying pre-trained models to new, unseen data with the objective of making predictions. During the inference phase, end-users interact with ML services to gain insights, recommendations, or actions based on the input data. For this reason, serving strategies are nowadays crucial for deploying and managing models in production environments effectively. These strategies ensure that models are available, scalable, reliable, and performant for real-world applications, such as time series forecasting, image classification, natural language processing, and so on. In this paper, we evaluate the performances of five widely-used model serving frameworks (TensorFlow Serving, TorchServe, MLServer, MLflow, and BentoML) under four different scenarios (malware detection, cryptocoin prices forecasting, image classification, and sentiment analysis). We demonstrate that TensorFlow Serving is able to outperform all the other frameworks in serving deep learning (DL) models. Moreover, we show that DL-specific frameworks (TensorFlow Serving and TorchServe) display significantly lower latencies than the three general-purpose ML frameworks (BentoML, MLFlow, and MLServer).
sj-pdf-3-epb-10.1177_23998083211041372 - Supplemental material for A game co-design method to elicit knowledge for the contextualization of spatial models
Creators: name: Champlin, Carissa J
name: Flacke, Johannes
name: Dewulf, Geert PMR
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: Geography
subject: 120599 Urban and Regional Planning not elsewhere classified
subject: FOS: Social and economic geography

description: Supplemental material, sj-pdf-3-epb-10.1177_23998083211041372 for A game co-design method to elicit knowledge for the contextualization of spatial models by Carissa J Champlin, Johannes Flacke and Geert PMR Dewulf in EPB: Urban Analytics and City Science
ПСИХОЛОГИЧЕСКИЕ АСПЕКТЫ ПОЛУЧЕНИЯ ИНФОРМАЦИИ В СОЦИАЛЬНЫХ СЕТЯХ
Creators: name: Жаббор, Алишер
Publisher: name: Zenodo
Year: 2025

description: В статье рассматриваются психологические аспекты получения информации в социальных сетях. Также раскрывается психологическое воздействие социальных сетей на людей и подчеркиваются различия между принятием и пониманием.
OPTIMIZATION OF VEHICLE DYNAMICS FOR ENHANCED CLASS 8 TRUCK PLATOONING
Creators: name: Black, Brady
Publisher: name: Purdue University Graduate School
Year: 2020
Subjects: Mechanical engineering not elsewhere classified
Autonomous vehicle systems

description: The heavy duty transportation sector is projected to grow in the coming decades. Increasing the fuel economy of class 8 vehicles would simultaneously decrease CO2 emissions and decrease the annual fuel expenditures that account for nearly a quarter of cargo companies' annual budgets. Most technology that has aimed to do this has primarily been focused on either improvements in engine efficiency or reduction of aerodynamic drag. This thesis addresses a somewhat different approach: the optimization of vehicle dynamics in order to realize fuel savings.
Through partnerships with Peloton Technology and Cummins, tests and simulations were conducted on corridors with grades up to 5% that indicate fuel savings of up to 14.4% can be achieved through the combination of three strategies: two-truck platooning, long-horizon predictive cruise control (LHPCC), and simultaneous shifting. Two-truck platooning is the act of drafting a rear truck behind a front truck. It has been shown that this not only reduces the drag of the follow vehicle, but also that of the lead vehicle. LHPCC is an optimization of the lead truck's velocity over a given corridor to get "from point A to point B" in the most efficient way possible whilst doing so with a trip time constraint. Last is the use of simultaneous shifting, which allows the follow vehicle to maintain the proper platoon gap distance behindthe lead truck.
sj-docx-4-hkj-10.1177_10249079211040971 – Supplemental material for Current situation and expectation of emergency medicine education for 8-year Doctor of Medicine degree program in China
Creators: name: Ge, Zengzheng
name: Feng, Shi
name: Liu, Xiangning
name: Guo, Shigong
name: Gao, Yanxia
name: Lu, Xin
name: Yu, Shiyuan
name: Zhao, Lina
name: Shi, Di
name: Liu, Jihai
name: Zhu, Huadong
name: Li, Yi
Publisher: name: SAGE Journals
Year: 2021
Subjects: Emergency Medicine

description: Supplemental material, sj-docx-4-hkj-10.1177_10249079211040971 for Current situation and expectation of emergency medicine education for 8-year Doctor of Medicine degree program in China by Zengzheng Ge, Shi Feng, Xiangning Liu, Shigong Guo, Yanxia Gao, Xin Lu, Shiyuan Yu, Lina Zhao, Di Shi, Jihai Liu, Huadong Zhu and Yi Li in Hong Kong Journal of Emergency Medicine
A qualitative study of principal discipline decision making
Creators: name: McLaughlin, Amy S.
Publisher: name: Washington State University
Year: 2023
Subjects: Decision-Making
Discipline
Principal

description: Disproportionality in school discipline (i.e., disparities in exclusionary discipline for certain subgroups) represents one of the most significant problems in education today (Losen et al, 2015; Welsh & Little, 2018). This qualitative study investigated how school principals described their concerns, pressures, and tensions when making student discipline decisions and explored how principals described a good discipline decision. The findings in this study provide insight concerning how to support school leaders in their efforts to close the discipline equity gap. Study results highlight the principals’ concerns including ensuring safety, adhering to laws, policies, and procedures, maintaining positive and healthy relationships, and upholding internal consistency as decisions get made. Principals’ pressures consisted of keeping everyone safe, performing in a public arena under scrutiny, and incorporating the added complexities of the principalship. The tensions principals faced included tensions related to navigating organizational contexts, balancing core values and beliefs, and following laws, policies, and procedures. Importantly, results shed light on how principals describe what makes a discipline decision good. Principals in this study suggested that good discipline decisions produce results, keep relationships intact, get resolved at the lowest level, and address root causes. Generally, principals in this study attempted to resolve the issues they faced by employing a discipline decision-making cycle consisting of three phases including learning, planning, and enacting.
Data-driven time-varying discrete grey model for demand forecasting
Creators: name: Ye, Lili
name: Xie, Naiming
name: Shang, Zhongju
name: Boylan, John E.
Publisher: name: Taylor & Francis
Year: 2025
Subjects: subject: Medicine
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified
subject: Mathematical Sciences not elsewhere classified

description: Demand forecasting is critical for strategic decision-making in the business sector. However, estimating demand variations remains challenging due to their time-varying tendencies. To address this, we propose a novel universal approach called the time-varying discrete grey model, along with a data-driven model structure identification algorithm. Specifically, we introduce a universal model form that incorporates polynomial time-varying parameters to unify existing discrete grey models. We then discuss significant properties, such as unbiasedness and affine transformation. Furthermore, we develop a data-driven algorithm that adaptively identifies the optimal model structure via subset selection strategies. To validate the effectiveness of our approach, we conduct Monte Carlo simulations to assess its robustness against noise and evaluate its performance in multi-step-ahead forecasting. Finally, through extensive experiments on real-world datasets from USA State Retail Sales, we demonstrate the superiority of our model over benchmark approaches, including statistical models and artificial intelligence methods. Our proposed approach offers a competitive alternative for demand forecasting in the business sector.
ISLOM VA RISHTON KULOLCHILIK SAN'ATINING RIVOJLANISHI VA O'ZIGA XOSLIGI
Creators: name: Ruziyev, Nuriddin
name: Jakbaraliyev, Ziyodulloh
Publisher: name: Zenodo
Year: 2025

description: Ushbu maqolada islom va Rishton kulolchilik san’ati tarixiy rivojlanishi, uslublari va o‘ziga xos naqshlari haqida ma’lumotlar keltirilgan. Islom kulolchilik san’ati VII asrdan boshlab shakllangan bo‘lib, turli madaniyatlarning ta’siri ostida o‘ziga xos naqsh va texnologiyalar bilan boyitilgan. Rishton kulolchilik maktabi esa asrlar davomida o‘ziga xos naqshlar va ustoz-shogird an’analarini saqlab kelgan. Maqolada zamonaviy kulolchilikning rivojlanish istiqbollari ham yoritilgan.
sj-pdf-2-ltj-10.1177_02655322211038977 – Supplemental material for A comparative judgment approach to assessing Chinese Sign Language interpreting
Creators: name: Han, Chao
name: Xiao, Xiaoyan
Publisher: name: SAGE Journals
Year: 2021
Subjects: Education
Language Studies not elsewhere classified

description: Supplemental material, sj-pdf-2-ltj-10.1177_02655322211038977 for A comparative judgment approach to assessing Chinese Sign Language interpreting by Chao Han and Xiaoyan Xiao in Language Testing
Behavior-based pricing and wholesale contracting in competing supply chains with informative advertising
Creators: name: Xu, Minghui
name: Bao, Wei
name: Yang, Dongsheng
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Pharmacology
subject: Sociology
subject: FOS: Sociology
subject: Science Policy
subject: Mental Health
subject: Plant Biology
subject: FOS: Biological sciences

description: The development of e-commerce has enhanced the ability of firms to identify existing and potential customers and set targeted prices accordingly, which is known as behavior-based pricing (BBP). This study investigates the effect of manufacturers’ informative advertising on the strategic interaction between wholesale price contracts (long-term or short-term) and downstream pricing mechanisms (BBP or not). We consider two horizontal differentiated supply chains in which firms not only compete in prices but also in informative advertising which is used to generate awareness of products. We find that the impact of BBP on channel members’ advertising, pricing and profits is the tradeoff of multiple effects. With BBP, manufacturers will advertise less and both retailers and manufacturers prefer short-term wholesale contracts. Moreover, BBP eases the price competition in the first period but intensifies it in the second period, especially for short-term wholesale contracts. In equilibrium, BBP is adopted by retailers only when the advertising cost is low, and manufacturers choose short-term wholesale contracts. Furthermore, BBP always hurts the consumer surplus and social welfare which means that targeted measures are needed to regulate firms’ price discrimination.
Transient Response of Gas-Liquid Injectors Subjected to Transverse Detonation Waves
Creators: name: Dille, Kevin James
Publisher: name: Purdue University Graduate School
Year: 2020
Subjects: Aerospace engineering not elsewhere classified

description: A series of experimental tests were performed to study the transient response of gas/liquid injectors exposed to transverse detonation waves. A total of four acrylic injectors were tested to compare the response between gas/liquid and liquid only injectors, as well as compare the role of various geometric features of the notional injector design. Detonation waves are produced through the combustion of ethylene and oxygen, at conditions to produce average wave pressures between 128 and 199 psi. The injectors utilize water and nitrogen to simulate the injection of liquid and gaseous propellants respectively. Quantification of injector refill times was possible through the use of a high-speed camera recording at a frame rate of 460,000 frames per second. High frequency pressure measurements in both the gaseous and liquid manifolds allow for quantification of the temporal pressure response of the injectors. Variations in simulant mass flow rates, measured through the use of sonic nozzles and cavitating venturis, produce pressure drops up to 262 psi across the injector. Injector refill times are found to be a strong function of the impulse delivered across the injector. Manifold acoustics were found to play a large role in injector response as manifolds that promote manifold over-pressurizations during the injector recovery period recover quicker than designs that limit this response.
A stochastic optimisation model to support cybersecurity within the UK national health service
Creators: name: Grass, Emilia
name: Pagel, Christina
name: Crowe, Sonya
name: Ghafur, Saira
Publisher: name: Taylor & Francis
Year: 2024
Subjects: Space Science
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
Mathematical Sciences not elsewhere classified

description: Over the past decade, the adoption of new digital technologies in healthcare has surged, significantly enhancing care delivery and accessibility. However, this digital transformation has been accompanied by a sharp increase in cyber-attacks, posing severe risks to hospital functionality and patient safety. To address the challenge of planning for uncertain future cyber incidents, we propose a two-stage stochastic model designed to bolster the cyber resilience of healthcare providers by selecting optimal countermeasures in preparation for upcoming cyber incidents. Numerical tests demonstrate the model’s effectiveness, with the Value of the Stochastic Solution showing a 21% improvement over a deterministic approach. To be optimally equipped even for low-probability high-impact attacks we incorporate the risk measure Conditional Value-at-Risk. The corresponding countermeasure solution led to 44% fewer rejected patients in a worst-case scenario. The robustness of the proposed solution is underscored by its consistent performance across various scenarios, budget levels, and risk preferences, making it a reliable tool for enhancing cybersecurity in healthcare. These results highlight the importance of tailored, robust cybersecurity strategies in healthcare, ensuring preparedness for a wide range of potential threats.
sj-docx-1-jpo-10.1177_10434542211040203 - Supplemental material for Evidence-Based Recommendations for Nurse Monitoring and Management of Immunotherapy-Induced Cytokine Release Syndrome: A Systematic Review from the Children’s Oncology Group
Creators: name: Browne, Emily K.
name: Daut, Emily
name: Hente, Monica
name: Turner, Kelly
name: Waters, Katherine
name: Duffy, Elizabeth A.
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 111099 Nursing not elsewhere classified
subject: FOS: Health sciences
subject: 111299 Oncology and Carcinogenesis not elsewhere classified
subject: FOS: Clinical medicine
subject: 111403 Paediatrics

description: Supplemental material, sj-docx-1-jpo-10.1177_10434542211040203 for Evidence-Based Recommendations for Nurse Monitoring and Management of Immunotherapy-Induced Cytokine Release Syndrome: A Systematic Review from the Children’s Oncology Group by Emily K. Browne, Emily Daut, Monica Hente, Kelly Turner, Katherine Waters and Elizabeth A. Duffy in Journal of Pediatric Oncology Nursing
E-Cam Software Development Tools
Creators: name: Cais, Alan Ó
Publisher: name: Zenodo
Year: 2017

description: This deliverable describes the current status (as of the deliverable due date) of the on-line deployment of centralized

tools for software development, documentation and maintenance. These include tools for version control, bug tracking,

build systems, documentation and other services. The services described here are not just for the E-CAM software

team but the E-CAM community as a whole and we will support users within that community to effectively utilise the

available tools.

This document is a companion to the services that E-CAM provides and focuses primarily on the E-CAM GitLab service

since it is this service that supports the specific features of software development, documentation and maintenance.

This service allows the project to offer a complete set of additional services:

• Version control

• Code review,

• GitLab Issue Tracker (used for bug tracking andmaintenance as well as code review and feature requests),

• GitLab CI for continuous integration and delivery.

• Single sign-on for other E-CAM services via OAuth2

• Application website hosting (via GitLab Pages)

• GitLab repository wikis.

Some useful low-level software is also highlighted, in particular the software modules developed in the first ESDW in

the context of the Electronic Structure Library. We also highlight EasyBuild to manage software dependencies, system

portability and the delivery of software to industrial partners.
Comparing Bills of Materials
Creators: name: Tate, Lucas
name: Jones, Rebecca
name: Dennis, Doug
name: Benko, Tatyana
name: Askren, Jody
Publisher: name: arXiv
Year: 2024
Subjects: subject: Software Engineering (cs.SE)
subject: FOS: Computer and information sciences

description: Bills of materials (BOMs) are quickly becoming an effective tool for managing supply chain risk. As more BOMs enter circulation, the ability to compare them will be crucial to understanding how products differ and in managing BOMs from different tools or sources. This paper will describe some of the challenges of comparing BOMs followed by a discussion of several comparison methods
sj-docx-6-hkj-10.1177_10249079211040971 – Supplemental material for Current situation and expectation of emergency medicine education for 8-year Doctor of Medicine degree program in China
Creators: name: Ge, Zengzheng
name: Feng, Shi
name: Liu, Xiangning
name: Guo, Shigong
name: Gao, Yanxia
name: Lu, Xin
name: Yu, Shiyuan
name: Zhao, Lina
name: Shi, Di
name: Liu, Jihai
name: Zhu, Huadong
name: Li, Yi
Publisher: name: SAGE Journals
Year: 2021
Subjects: Emergency Medicine

description: Supplemental material, sj-docx-6-hkj-10.1177_10249079211040971 for Current situation and expectation of emergency medicine education for 8-year Doctor of Medicine degree program in China by Zengzheng Ge, Shi Feng, Xiangning Liu, Shigong Guo, Yanxia Gao, Xin Lu, Shiyuan Yu, Lina Zhao, Di Shi, Jihai Liu, Huadong Zhu and Yi Li in Hong Kong Journal of Emergency Medicine
Cleaning Machine MAFAC JAVA
Creators: name: Frank, Michael
name: Magin, Jonathan
name: Technical University Of Darmstadt
Publisher: name: Technical University of Darmstadt
Year: 2024
Subjects: subject: Data Sheets
subject: 4.21-01 Chemische und Thermische Verfahrenstechnik
subject: 660

description: Data sets of the cleaning machine MAFA JAVA of the ETA Research Factory.