cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Structural integrity of the WAAM-substrate interface
Creators: name: Robin Motte
name: Wim De Waele
Publisher: name: Zenodo
Year: 2025

description: Wire + Arc Additive Manufacturing (WAAM) is a form of directed energy deposition for additive manufacturing of metals. An electric arc is used to melt metal feedstock wire, allowing material deposition in a layer-by-layer fashion. In addition to newly manufacturing workpieces, WAAM could also be applied for the remanufacturing of damaged or worn components, contributing to a more circular economy. Due to high cyclical heat input during the WAAM process, a heterogeneous microstructure arises. In particular, a strong microstructural gradient may exist at the interface between the substrate material and the first deposited layer. As a result, material properties may also vary within this region. Furthermore, the welding wire's alloy may differ from that of the substrate, also contributing to the gradient in the interface region. This poster presents ongoing research to numerically model the effect of mechanical loads at the interface of steel components remanufactured by WAAM, for both static and cyclic (fatigue) loading conditions. Local material properties are characterised by hardness mapping, after which correlations can be used to construct the plastic stress-strain curve based on a hardness value. The interface region is then modelled based on element-wise material assignment. However, the limited accuracy of this approach is revealed after comparison with experimental data from tensile tests instrumented with Digital Image Correlation. Future work will investigate the use of Profilometry-based Indentation Plastometry, a novel technique to directly characterise local stress-strain properties, to replace the hardness map as input for this model. Additionally, an eXtended Finite Element Modelling (X-FEM) framework is used to simulate fatigue loading, again based on a hardness map. Modelling of Compact Tension specimens with notches at different locations relative to the interface indicates a fatigue crack path deviating towards the material with lower Young's modulus. In the future, this model will be experimentally validated.
sj-docx-1-psx-10.1177_00323217211049299 – Supplemental material for Are Populists Politically Intolerant? Citizens’ Populist Attitudes and Tolerance of Various Political Antagonists
Creators: name: Bos, Linda
name: Wichgers, Lisanne
name: van Spanje, Joost
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 160607 International Relations
subject: FOS: Political science

description: Supplemental material, sj-docx-1-psx-10.1177_00323217211049299 for Are Populists Politically Intolerant? Citizens’ Populist Attitudes and Tolerance of Various Political Antagonists by Linda Bos, Lisanne Wichgers and Joost van Spanje in Political Studies
Wear Quantification of Wind Turbine Blades by Drone-Captured High-Resolution Images
Creators: name: Jonathan Sterckx
name: Michiel Vlaminck
name: Hiep Luong
Publisher: name: Zenodo
Year: 2025

description: Erosion of wind turbine blades, caused by the continuous impact of airborne particles such as water and dust, is a significant challenge for maintaining aerodynamic efficiency and maximizing energy output. Over time, this wear not only reduces blade lifespan but also leads to energy losses. To address this issue, we present a novel approach that combines drone-based high-resolution image capture with advanced 3D modeling techniques to predict and quantify erosion on turbine blade leading edges with a high accuracy.

Our workflow involves capturing sharp, low-noise images despite the challenges posed by wind and blade motion. We employ techniques such as LiDAR-based localization, high dynamic range (HDR) imaging, and structure-from-motion (SfM) reconstruction to create precise 3D models of blade surfaces. Once we have an accurate 3D reconstruction, we perform defect detection and quantification to measure critical erosion metrics such as volume, surface area, and depth. Additionally, we address the computational challenge of processing 3D point clouds efficiently by leveraging depth maps, which represent the 3D model by a set of 2D images. This allows the fusion of visual and geometric information for improved defect detection. Compared to purely image-based detection, this fusion helps resolve visual ambiguities and allows the computation of physically meaningful defect metrics.

Our method has demonstrated significant improvements in 3D reconstruction accuracy, with a reduction in reprojection error by more than 38% compared to state-of-the-art methods. The result is a denser, more reliable model of the turbine blades, which enables a more effective analysis of the surface defects. In turn, this will translate to more effective predictive and preventive maintenance strategies. Future work will focus on integrating joint deblurring and 3D reconstruction techniques, as well as incorporating prior knowledge to further refine defect quantification and prediction.
career path recommendation using large language models
Creators: name: Iman Johary
name: Alexandru Mara
name: Tijl De Bie
Publisher: name: Zenodo
Year: 2025

description: In the contemporary job market, efficient and precise resume analysis is essential for high-level tasks such as career path recommendations and job matching. This work introduces a novel approach to streamlining the process by harnessing the power of large language models. The primary objective is to develop a comprehensive pipeline for information extraction, data mapping, and subsequent utilization in downstream recommendation and matching tasks.
Resumes are often parsed from different formats, resulting in unstructured and noisy text that poses a significant challenge for automated analysis. We aim to enhance the accuracy and efficacy of information extraction by leveraging recent developments in natural language processing, particularly large language models.
The proposed pipeline begins with an information extraction module that efficiently retrieves key data points, including skills, qualifications, and experiences. Subsequently, a data mapping component maps different sections, such as job titles, places, and degrees, to a smaller taxonomy. The extracted information is then employed in downstream tasks, such as career path recommendations and job matching.
For information extraction, we propose different methods, such as prompt engineering and LoRa. For data mapping, we experimented with fine-tuning and heuristic methods to increase accuracy. We evaluate the proposed pipeline using a rich dataset provided by VDAB, encompassing resumes in Dutch, French, and English. We further enhanced this dataset by annotating it to facilitate resume analysis and information extraction.
Confección de un producto turístico agroecológico en la finca Cinco Palmas.
Creators: name: Dianela Marrero Amador
name: Gerald Jesús Del Ville Serrano
name: Massiel Laíz Rojo Chaviano
name: Yenisey León Reyes
Publisher: name: Zenodo
Year: 2025

description: Esta investigación tiene como objetivo diseñar un producto turístico agroecológico en la finca Cinco Palmas de Matanzas, integrando prácticas sostenibles que equilibren la viabilidad económica, la responsabilidad ambiental y el impacto social. Mediante métodos como la observación participante y la revisión bibliográfica, se analiza en profundidad el proceso de creación de este producto, desde su conceptualización hasta su implementación práctica. El estudio identifica oportunidades para transformar actividades agropecuarias en experiencias turísticas educativas, promoviendo la conservación de ecosistemas, la valorización cultural y la participación comunitaria. Se destacan estrategias como la creación de rutas guiadas por cultivos orgánicos, talleres de agricultura sostenible y gastronomía local con ingredientes de la finca, articulando así un modelo de turismo regenerativo. Los resultados preliminares sugieren que este enfoque no solo diversifica la oferta turística de Matanzas, sino que también fortalece cadenas de valor locales y reduce la huella ecológica del sector. La investigación aporta una guía metodológica adaptable a contextos similares, subrayando el potencial de la agroecología como motor de desarrollo territorial inclusivo. Este trabajo busca posicionar a Cinco Palmas como referente en turismo responsable, contribuyendo a los Objetivos de Desarrollo Sostenible y redefiniendo la relación entre agricultura y turismo en Cuba.

Palabras clave: agroecología, Matanzas, producto turístico, turismo.
Emerging Trends in Technology and Innovation in Lower Limb Prosthetic Devices
Creators: name: Opondo, Nixon Oduor
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Other engineering not elsewhere classified

description: This study explored the history, present status, and future trends in assistive technologies and innovations in lower limb prosthesis. The study analyzed trends in patent filing and looked into how mainstream technologies such as additive manufacturing, advanced materials and robotic integrate with other enabling technologies such as IoT, AI, sensors etc. to advance technology innovation and improve the quality of life of people with limb impairment.
 This research study is significant in helping to understand what is on the horizon for people with lower limb impairment given that this population tend to be neglected and their needs have not been fully addressed in many areas
Emerging Technologies in Poultry farming : Enhancing Sustainability and Efficiency in Poultry Production
Creators: name: Dr. Pawar RutikNamdev,Dr.Pophale KrushnakantS,Dr. Renge SunilD Dr.Vishakha S Gaur, Dr.PreranaUmrao
Publisher: name: veterinary today
Year: 2024

description: To meet the world's growing population, the poultry sector must embrace modern and digital technology to produce more livestock products faster. At the same time, it must satisfy concerns about animal welfare, environmental sustainability, and public health. Many modern technologies are used in poultry production, including optoelectronic sensors, chiro-immunosensors, blockchain technology, acoustic analysis, biometric and biological sensors, PLF sensing modules and platforms, infrared thermometers, smartphone apps with compatible sensors, and nanocrystals (chiral zirconium quantum dots). All of these technologies can help farmers enhance productivity while reducing their negative environmental impact, improve livestock and poultry production, and make better use of their resources and land. Furthermore, integrating various data sources and types will be crucial for creating predictive models that can forecast disease outbreaks rather than just detecting them. The growing availability of sensors, infrastructure, and tools for big data collection, storage, sharing, and analysis—coupled with the adoption of open standards and integration with pathogen molecular epidemiology—offers a promising solution to the challenge of producing higher-quality and more healthful food on a larger scale. This approach has the potential to enhance sustainability by protecting ecosystems, conserving natural resources, and improving the welfare and health of both animals and humans. The present work reviews the application of sensor technologies, specifically, the principles and benefits of advanced statistical techniques and their use in developing effective and reliable classification and prediction models to benefit the farming system.
CHARACTERIZING COMPUTATIONAL THINKING THROUGH THE USE OF MODELING AND SIMULATION ACTIVITIES WITHIN THE ENGINEERING CLASSROOM
Creators: name: Lyon, Joseph Alan
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Educational technology and computing

description: The concept of computational thinking (CT) has become more prevalent across the engineering education research and teaching landscape. Yet much of the research to date has been more definitional and has not offered many ways to convert CT theory to practice. One prominent set of tools used across engineering disciplines is modeling and simulation, which allows students to create a representation of the outside world as they understand it. This three-paper dissertation connects modeling and simulation skills with eliciting CT by leveraging model-based reasoning as a theoretical framework. A learning design was created and delivered here via design-based research that includes educational frameworks such as productive failure and model-eliciting activities (MEAs) to structure the modeling activity within a classroom setting. The designed learning intervention used a four-part sequence to scaffold the modeling activity in the classroom: (1) planning the model, (2) building the model, (3) evaluating the model, and (4) reflecting on the model. A case study of a final-year capstone course in biological engineering implemented the four-week designed learning intervention as part of the course. The guiding research question for the study was how do modeling and simulation activities elicit computational thinking practices in the context of undergraduate engineering education? To approach this question, data were collected in audio transcripts and student-generated artifacts to identify areas where the modeling activity elicited different forms of CT in the student work. The first study examined how CT was elicited within the model-building phase and developed an initial codebook for CT practices and outcomes using thematic analysis. The second and third studies built upon that codebook and further the outcomes by analyzing the modeling activity's planning and evaluating/reflecting phases. The results indicate that CT is used throughout the entire modeling and simulation process as students engage in model-based reasoning. The identified CT practices of abstraction, algorithmic thinking, evaluation, generalization, and decomposition emerged from a thematic analysis, and each practice was further characterized and refined into a set of outcomes. Furthermore, each phase of the modeling activity emphasized unique CT outcomes suggesting that students would benefit from enacting the entire modeling and simulation process to acquire and practice a diverse range of CT outcomes.
ABCFair: an Adaptable Benchmark approach for Comparing Fairness methods
Creators: name: MaryBeth Defrance
name: Maarten Buyl
name: Tijl De Bie
Publisher: name: Zenodo
Year: 2025

description: Numerous methods have been implemented that pursue fairness in AI with respect to sensitive features by mitigating biases in machine learning. Yet, the problem settings that each method tackles vary significantly, including the stage of intervention, the composition of sensitive features, the fairness notion, and the distribution of the output. Even in binary classification, these subtle differences make it highly complicated to benchmark fairness methods, as their performance can strongly depend on exactly how the bias mitigation problem was originally framed.

Hence, we introduce ABCFair, a benchmark approach which allows adapting to the desiderata of the real-world problem setting, enabling proper comparability between methods for any use case. We apply ABCFair to a range of pre-, in-, and postprocessing methods on both large-scale, traditional datasets and on a dual label (biased and unbiased) dataset to sidestep the fairness-accuracy trade-off.
Big History'S Big Potential
Creators: name: Grinin, Leonid
name: Baker, David
name: Quaedackers, Esther
name: Korotayev, Andrey V.
Publisher: name: Zenodo
Year: 2014
Subjects: Big History
Potential

description: Big History has been developing very fast indeed. We are currently observing

a ‘Cambrian explosion’ in terms of its popularity and diffusion.

Big History courses are taught in the schools and universities of several

dozen countries, including China, Korea, the Netherlands, the USA, India,

Russia, Japan, Australia, Great Britain, Germany, and many more.

The International Big History Association (IBHA) is gaining momentum

in its projects and membership. Conferences are beginning to be held

regularly (this edited volume has been prepared on the basis of the proceedings

of the International Big History Association Inaugural Conference

[see below for details]). Hundreds of researchers are involved in

studying and teaching Big History.
sj-pdf-1-otj-10.1177_15394492211050634 – Supplemental material for Survey of Occupational Therapy Driver Assessors’ Rehabilitation Interventions With Older Drivers
Creators: name: Unsworth, Carolyn Anne
name: Baker, Anne
name: Morton-Kehle, Dana
name: Darzins, Susan
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences

description: Supplemental material, sj-pdf-1-otj-10.1177_15394492211050634 for Survey of Occupational Therapy Driver Assessors’ Rehabilitation Interventions With Older Drivers by Carolyn Anne Unsworth, Anne Baker, Dana Morton-Kehle and Susan Darzins in OTJR: Occupation, Participation and Health
sj-pdf-1-dos-10.1177_15593258211047658 – Supplemental Material for Association Between Regorafenib Dose and Efficacy Against Metastatic Colorectal Cancer in a Real-World Setting
Creators: name: Hatori, Masahiro
name: Kawakami, Kazuyoshi
name: Wakatsuki, Takeru
name: Shinozaki, Eiji
name: Kobayashi, Kazuo
name: Aoyama, Takeshi
name: Nakano, Yasuhiro
name: Suzuki, Kenichi
name: Yamaguchi, Kensei
name: Hama, Toshihiro
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified
subject: FOS: Clinical medicine
subject: 110320 Radiology and Organ Imaging

description: Supplemental Material, sj-pdf-1-dos-10.1177_15593258211047658 for Association Between Regorafenib Dose and Efficacy Against Metastatic Colorectal Cancer in a Real-World Setting by Masahiro Hatori, Kazuyoshi Kawakami, Takeru Wakatsuki, Eiji Shinozaki, Kazuo Kobayashi, Takeshi Aoyama, Yasuhiro Nakano, Kenichi Suzuki, Kensei Yamaguchi and Toshihiro Hama in Dose-Response
sj-docx-1-sjp-10.1177_14034948211048746 – Supplemental material for The COVIDPregDK Study: A national survey on pregnancy during the early COVID-19 pandemic in Denmark
Creators: name: Stokholm, Lonny
name: Schrøder, Katja
name: Nør, Ellen A.
name: Rubin, Katrine H.
name: Jørgensen, Jan S.
name: Petersen, Lone K.
name: Bliddal, Mette
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 111799 Public Health and Health Services not elsewhere classified
subject: FOS: Health sciences

description: Supplemental material, sj-docx-1-sjp-10.1177_14034948211048746 for The COVIDPregDK Study: A national survey on pregnancy during the early COVID-19 pandemic in Denmark by Lonny Stokholm, Katja Schrøder, Ellen A. Nør, Katrine H. Rubin, Jan S. Jørgensen, Lone K. Petersen and Mette Bliddal in Scandinavian Journal of Public Health
Use of electronically-controlled floor cooling pads during heat stress in thermoregulatory and reproductive performances in swine
Creators: name: Shirley, Larissa K
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Animal physiology - systems

description: Substantial economic losses occur in the swine industry during periods of high ambient temperatures. Heat stress produces physiological changes such as increased body temperature and respiration rate resulting in production losses from decreased reproductive performance, growth rate and feed intake. Heat stress in growing gilts delays puberty and decreases ovarian follicle numbers. In boars heat stress decreases semen quality. Electronically-controlled floor cooling pads were designed and constructed to assist pigs with thermoregulation by removing excess heat from pigs in a production facility. Based on this study, experiments were conducted to further investigate the effects of electronically-controlled cooling pads on physiological and reproductive performances in gilts and boars. A study was conducted on limit-fed gilts at 32°C and 35°C during short-term heat stress. Gilts exposed to short term heat stress at 32°C and 35°C had increased respiration rate, vaginal temperature and skin temperature. Gilts on electronically-controlled cooling pads exposed to short term heat stress at 35°C were able to minimize negative impacts of HS such as reduced respiration rate and vaginal temperature. A study was conducted with 24 boars which were exposed to cyclical heat stress for a duration of 3 days at 32°C and 35°C. Boars exposed to cyclical heat stress for 3 consecutive days at 32°C or 35°C which increased respiration rate and body temperature followed by a decrease in semen quality over several weeks. Boars cooled with electronically-controlled floor cooling pads had reduced physiological effects of heat stress as well as consistent semen quality post HS. The use of electronically controlled floor cooling pads have implications towards minimizing or removing the negative impacts of heat stress in gilts and boars.
Additional file 1 of Designing greener participant-centred trials: an analysis of ‘carbon relevant’ factors within items that influence participants’ decisions about trial recruitment and retention
Creators: name: Piltonen, Emilia
name: Goulao, Beatriz
name: Gillies, Katie
Publisher: name: figshare
Year: 2024
Subjects: Biological Sciences not elsewhere classified
Science Policy

description: Additional file 1: Table S1. Reported influences on participant recruitment mapped to carbon relevant factors.
sj-pdf-1-jao-10.1177_03913988211051758 – Supplemental material for Donor variability alters differentiation and mechanical cohesion of tissue-engineered constructs with human endothelial/MSC co-culture
Creators: name: Baudequin, Timothée
name: Naudot, Marie
name: Dupont, Sébastien
name: Testelin, Sylvie
name: Devauchelle, Bernard
name: Bedoui, Fahmi
name: Marolleau, Jean-Pierre
name: Legallais, Cécile
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences

description: Supplemental material, sj-pdf-1-jao-10.1177_03913988211051758 for Donor variability alters differentiation and mechanical cohesion of tissue-engineered constructs with human endothelial/MSC co-culture by Timothée Baudequin, Marie Naudot, Sébastien Dupont, Sylvie Testelin, Bernard Devauchelle, Fahmi Bedoui, Jean-Pierre Marolleau and Cécile Legallais in The International Journal of Artificial Organs
Automatic kinetic model generation: A novel modeling approach for liquid-phase processes
Creators: name: Robin Vercauteren
name: Kevin De Ras
name: Gust Popelier
name: Lander Nelis
name: Joris W. Thybaut
name: Kevin M. Van Geem
Publisher: name: Zenodo
Year: 2025

description: The liquid-phase oxidation of cyclohexane is an important industrial process for the production of cyclohexanol and cyclohexanone, key intermediates in the production of nylon. Despite its industrial significance, its complex free radical mechanism is not yet fully understood, posing challenges for process optimization and reactor design towards a more sustainable future. Notable advances have been made in the past decade regarding the automatic construction of kinetic models for various gas-phase processes. ALKIMO, which stands for "Automatic Liquid-phase Kinetic Modeler", aims to fill the present gap for liquid-phase processes. This enables the automatic transformation of a kinetic model developed for the gas phase to the liquid phase, by incorporating the impact of a liquid. ALKIMO was applied to the liquid-phase oxidation of cyclohexane as a proof of concept, and the developed model will be validated against experiments performed in a tubular reactor operating in the slug flow regime. Such a regime consists of alternating cyclohexane liquid slugs and oxygen gas bubbles, resulting in diffusional limitations between the phases, and necessitating the development of an accurate slug flow reactor model. The developed slug flow reactor model uses an overall volumetric mass transfer coefficient to describe these diffusional limitations. Simulated conversions form a more gradual profile compared to a plug flow reactor model, where perfect mixing between the phases is assumed at the inlet. Subsequently, the kinetic model was extended to include formation of 6 hydroxyhexanoic acid, a significant by-product observed experimentally. The extended kinetic model, in combination with the developed slug flow reactor model, will be validated through newly acquired experimental data in the future. The model correctly predicts the expected products to be the major products in the reactor outlet, namely cyclohexane, cyclohexanol, cyclohexyl hydroperoxide, and 6-hydroxyhexanoic acid.
Additional file 2 of Designing greener participant-centred trials: an analysis of ‘carbon relevant’ factors within items that influence participants’ decisions about trial recruitment and retention
Creators: name: Piltonen, Emilia
name: Goulao, Beatriz
name: Gillies, Katie
Publisher: name: figshare
Year: 2024
Subjects: Biological Sciences not elsewhere classified
Science Policy

description: Additional file 2: Table S2. Reported influences on participant retention mapped to carbon relevant factors.
HBM4EU Harmonized Codebook Teenagers - Aligned studies
Creators: name: Govarts, Eva
name: Rodriguez Martin, Laura
name: Gilles, Liese
name: Remy, Sylvie
Publisher: name: Zenodo
Year: 2022
Subjects: codebook
aligned studies

description: HBM4EU Aligned studies harmonized codebooks. 3 codebooks are available, 1 for the HBM4EU aligned studies in children (6-11 years), 1 for the HBM4EU aligned studies in teenagers (12-19 years) and 1 for HBM4EU aligned studies in adults (20-39 years). More information about the HBM4EU aligned studies in Gilles et al 2021 (DOI: 10.1016/j.ijheh.2021.113809) and Gilles et al 2022 (Harmonization of Human Biomonitoring Studies in Europe: Characteristics of the HBM4EU-Aligned Studies Participants). The codebook includes a description of the variables and the coding format. Please note that the HBM4EU aligned studies have gone through a post-harmonization process.
description: This document has been created within the HBM4EU project. HBM4EU has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 733032.
title: Frequency Shifts in Natural Vibrations in Pantographic Metamaterials under Biaxial Tests
Creators: name: Battista, A.
name: D. Del Vescovo
name: N.L. Rizzi
name: E.Turco
Publisher: name: Otto von Guericke University Library, Magdeburg, Germany
Year: 2017

description: Technische Mechanik; 37; 1; 1-17; ISSN 2199-9244
description: In this paper a 2D continuum model, thought as the homogenized limit of a microstructured pantographic sheet, is studied. The microstructure is characterized by two families of parallel ?bers, whose deformation measures account for bending, elongation and relative rotation of the ?bers. The deformation energy density of the homoge- nized model depends on both ?rst and second gradients of the displacement. Modal analysis is performed in order to assess the peculiarities of the dynamic behavior of higher gradient models, and in particular the difference, with respect to classical laminae, in the dependence of the eigenfrequencies on the stiffness.
SemantiPy: A tool to semantically describe Python code to provide understanding and ensure provenance
Creators: name: Pol Nachtergaele
Publisher: name: Zenodo
Year: 2025

description: This research explores the transformative potential of the semantic web, emphasizing how it can help individuals regain control over their data by making the processes behind data handling more transparent. Unlike traditional data structures, the semantic web connects data meaningfully, representing real-world entities like people and places. This research introduces SemantiPy, a tool developed to automatically describe code semantically in RDF, enabling users to visualize how their data is processed. By leveraging ontologies such as the Function Ontology and the Provenance Ontology, SemantiPy elucidates the flow of data through cleaning pipelines. This enhances transparency regarding how data was manipulated. However, challenges remain, including enhancing accessibility for non-programmers and improving the tool's accuracy. Future enhancements aim to integrate SemantiPy with broader semantic web applications, fostering knowledge sharing and collaboration among developers while promoting transparency in machine learning processes.
title: Mode II Delamination Analysis of Asymmetrical Four Point Bend Layered Beams with Considering Material Non-linearity
Creators: name: Rizov, V.
Publisher: name: Otto von Guericke University Library, Magdeburg, Germany
Year: 2017

description: Technische Mechanik; 37; 1; 18-27; ISSN 2199-9244
description: An analytical study is performed of mode II delamination fracture in the asymmetrical Four Point Bend (FPB) beam configurations with considering non-linear material behavior. The beam mechanical behavior is described by using two non-linear constitutive models (ideally elastic-plastic model and model with power law stress- strain relation).The crack is located arbitrarily along the beam height. Fracture is analyzed by applying the J- integral approach. By using the classical beam theory, analytical solutions of the J-integral are obtained at characteristic levels of the external load. The solutions derived are compared with the strain energy release rate. The influence of material non-linearity and crack location along the beam height on the fracture behaviour is evaluated. The J-integral solutions derived are very useful for parametric investigations, since the simple formulae obtained capture the essentials of fracture in asymmetrical FPB beams that have non-linear material behaviour.
Spark-Ignited Mixing-Controlled Combustion
Creators: name: Victor Sileghem - Sebastian Verhelst
Publisher: name: Zenodo
Year: 2025

description: This poster presents a new research trajectory, aiming at the efficient use of renewable fuels, such as hydrogen, methane and methanol, in heavy-duty combustion engines. These fuels have proven their advantages, both in terms of efficiency and emissions, for light-duty engines, but their use in heavy-duty engines requires novel combustion strategies. One example is Spark-Ignited Mixing-Controlled Combustion (SI-MCC), in which a fuel jet or spray is directly ignited by a spark, to establish Diesel-like combustion. Literature provides a limited proof-of-concept for SI-MCC using hydrogen and methane, but the ignitability of other fuels remains uncertain, especially for liquids. This research trajectory studies SI-MCC ignitability with hydrogen, methane and methanol and aims to understand the key phenomena influencing ignition. Experiments in an optically accessible combustion chamber will investigate the ignition success for different ignition timings and locations of the spark over the jet/spray, and provide fundamental data. The local conditions at the spark are assessed via simulations, while high-speed videos provide detailed insight into the ignition process. The conclusions will be presented as a conceptual model that shows how different fuels ignite, by indicating the phenomena of interest and describing the influence of fuel properties. These fundamental experiments are also used to design engine-experiments, which will assess the actual potential of SI-MCC as an engine concept.
Additional file 1 of Identification and bioinformatics analysis of lncRNAs in serum of patients with ankylosing spondylitis
Creators: name: Kou, Jianqiang
name: Bie, Yongchen
name: Liu, Mingquan
name: Wang, Liqin
name: Liu, Xiangyun
name: Sun, Yuanliang
name: Zheng, Xiujun
Publisher: name: figshare
Year: 2024
Subjects: subject: Immunology
subject: FOS: Clinical medicine

description: Additional file 1. Patient characteristics.
Skin lesion detection using deep learning
Creators: name: Chandra, Rajit
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Image processing
Pattern recognition
Data mining and knowledge discovery
Computer vision

description: Skin lesion can be deadliest if not detected early. Early detection of skin lesion can save many lives. Artificial Intelligence and Machine learning is helping healthcare in many ways and so in the diagnosis of skin lesion. Computer aided diagnosis help clinicians in detecting the cancer. The study was conducted to classify the seven classes of skin lesion using very powerful convolutional neural networks. The two pre trained models i.e., DenseNet and Incepton-v3 were employed to train the model and accuracy, precision, recall, f1score and ROC-AUC was calculated for every class prediction. Moreover, gradient class activation maps were also used to aid the clinicians in determining what are the regions of image that influence model to make a certain decision. These visualizations are used for explainability of the model. Experiments showed that DenseNet performed better then Inception V3. Also it was noted that gradient class activation maps highlighted different regions for predicting same class. The main contribution was to introduce medical aided visualizations in lesion classification model that will help clinicians in understanding the decisions of the model. It will enhance the reliability of the model. Also, different optimizers were employed with both models to compare the accuracies.
Flow Boiling in Confined Spaces under Spatially and Temporally Varying Heat Flux Conditions
Creators: name: Jana Rogiers
name: Hendrik Vansompel
name: Michel De Paepe
Publisher: name: Zenodo
Year: 2025

description: Flow boiling heat transfer has great potential for heating and cooling purposes in various applications due to its high heat transfer rate and uniform surface temperature. However, challenges such as dry-out, flow instabilities, and limited understanding of the underlying physical phenomena remain. Most research has focused on uniform and constant heat flux conditions, but many real-world applications are characterized by temporally and/or spatially varying heat flux conditions. This study presents a new experimental setup designed to evaluate the impact of these non-constant and non-uniform heat flux conditions on the heat transfer to low global warming potential refrigerants in different flow regimes. The setup's calibration and validation are detailed using R1233zd(E). Experimentally obtained Nusselt numbers for single phase liquid convective heat transfer were within a 10% error margin of the Gnielinski correlation and the intended flow regimes can successfully be reached. Further validation is required to investigate the effects of parameters like flow rate, pressure, and temperature before conducting two-phase flow tests, as well as time-varying and non-uniform heat flux tests. The final goal is to develop heat transfer correlations that capture the effect of the non-constant and non-uniform heat flux conditions. Those correlations could then be used in the development of cooling systems.
Standardization and FAIR data pipelines in X-ray photoelectron spectroscopy: a community-driven approach
Creators: name: Pielsticker, Lukas
name: Dobener, Florian
name: Rettig, Laurenz
name: Hetaba, Walid
name: Brockhauser, Sandor
Publisher: name: Zenodo
Year: 2024
Subjects: FAIR data
Data Transfer
Standardization
Photoemission Spectroscopy
XPS

description: There has been a distinct lack of FAIR data principles in the field photoemission spectroscopy (PES). Within the FAIRmat consortium, we have been developing an end-to-end workflow for data management in PES experiments using NOMAD and NeXus, a community-driven data-modeling framework for experiments [1]. We will present an extensive and elaborated standard (NXmpes) for harmonizing PES data using NeXus. Specifically, we present our strategy to collaborate with leading manufacturers of PES equipment as well as the wider PES community to foster interoperability of NXmpes with existing measurement protocols and software solutions.

Finally, we provide an example for establishing a FAIR data pipeline using NXmpes in conjunction with the NOMAD research data management platform with a focus on X-ray photoelectron spectroscopy (XPS) data. We will show how research workflows and analysis results in XPS are represented in NOMAD and how individual scientists as well as the wider XPS community benefit from adapting these data pipelines.

References

[1] Könnecke, M., et al., The NeXus data format, J. Appl. Crystallogr. 2015, 48, 1, 301-305.

[2] https://fairmat-nfdi.github.io/nexus_definitions/classes/contributed_definitions/NXmpes.html

 

This work is funded by the NFDI consortium FAIRmat - Deutsche Forschungsgemeinschaft (DFG) - Project 460197019.
A Circular Design Approach to recover marine plastics and fishing nets
Creators: name: Farinha, Isabel
name: Pina, Miguel Damas Mora
name: Martins Gancho, Sara Patrícia
Publisher: name: Zenodo
Year: 2023
Subjects: subject: Economia Circular Azul
subject: Circular economy
subject: Environmental sustainability
subject: Marine pollution
subject: Marine fishery
subject: Marine environment

description: This presentation is part of the Research & Innovation Project In Maritime Space - Blue Circular Postbranding Project 

Application: A2S, Association for the Sustainable Development of the Saloia Region, with co-funding from the Mar2020 Programme

Operation code: MAR-04.03.01-FEAMP-0294.
Additional file 1 of ApoC3 is expressed in oocytes and increased expression is associated with PCOS progression
Creators: name: Zhou, Jiahe
name: Mo, Hui
name: Feng, Qian
name: Li, Li
name: La, Jiahui
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Mathematical Sciences not elsewhere classified
subject: Developmental Biology
subject: Cancer
subject: Computational Biology

description: Additional file 1: Supplementary Materials Table S1. Pearson’s correlations ApoC3 levels and hormone parameters in PCOS mouse models and control group (Table S2)
Optimizing Write Performance in Decentralized Personal Data Ecosystems
Creators: name: Jitse De Smet
name: Ruben Taelman
name: Ruben Verborgh
Publisher: name: Zenodo
Year: 2025

description: In the past 2 decades, the once decentralized web has become increasingly centralized. This centralization is bad for the web and its users, there is a need to decentralize the web again. The Solid initiative is one such decentralization initiative rapidly gaining support.
The initiative strives to provide a personal data store to each user. These stores differ both in data stored by the user, and interface exposed. Heterogeneity is key for decentralization, but makes interacting with data stores complex for data consumers. There is a need to abstract these complexities, shielding consumers from the heterogeneity inherent to decentralization. Previous and ongoing research focusing on abstracting read queries proves to be successful. No research has been done to abstract updates to these data stores, but updates are essential to data management. In this PhD project, I focus on abstracting update queries over a permissioned decentralized environment, optimizing write performance.
To do so, I research the requirements on interfaces, interface trade-offs, transactions, and query processing techniques. Future research will be able to refine the algorithms I propose and create alternatives. In research about read-queries, adaptive query planning seems promising. Future research might try to incorporate that idea in update-queries.
DIRECTIONS FOR IMPROVING THE EFFECTIVENESS OF ACTIVITIES TO COMBAT WOMEN'S CRIME
Creators: name: Rakhmonkulov, Iskandar
Publisher: name: Zenodo
Year: 2025

description: In recent years, there has been an excessive increase in crimes committed by women, especially crimes within the family and domestic sphere. The structure of crimes committed by women, their personal characteristics, and the fact that they are increasingly committed for mercenary purposes have been studied, along with their causes, conditions, contributing factors, and psychological and ideological aspects.
Biomimicry of Reptile Eggshells Based on Keratin Nanofibrous Membranes
Creators: name: Yana Maudens
name: Gerben Debruyn
name: Eva Loccufier
name: Cinzia Tonetti
name: Claudia Vineis
name: Alessio Varesano
name: Liliana D'Alba
name: Matthew D. Shawkey
name: Lode Daelemans
name: Karen De Clerck
Publisher: name: Zenodo
Year: 2025

description: Eggs are multifunctional structures that enabled vertebrates to colonize the land millions of years ago. Life on Earth imposes a series of environmental challenges on eggs, often presenting conflicting or contradicting demands. For example, eggs must be crack-resistant yet allow breakage from the inside, be impermeable to bacteria yet breathable and in some cases allow water absorption. Eggshells also offer protection from harmful radiation while allowing some light transmission. As a result, they have evolved into multifunctional systems with extraordinary properties, including unique combinations of high flexibility and strength, strong water absorption and antimicrobial filtration. Biomimicking of these natural structures could lead to the development of new materials with advanced properties for filtration/separation technology, sensors and biomedical applications.
Through chemical and physical analysis of sixty-two reptile eggshells (Debruyn et al., 2024), the key structural components - namely a proteinaceous layer (primarily keratin) and an inorganic calcium carbonate component - were identified and used to develop biomimicry models. The non-woven layer of proteinaceous fibers closely resembles randomly oriented nanofibrous membranes produced via solvent electrospinning. Hence, keratin, extracted through a sulphitolysis process, was electrospun from formic acid. A subsequent heat treatment ensured crosslinking of residual amine and carboxyl groups in the keratin chains, imparting hydrophobicity and improved water stability to the nanofibrous membranes. To further approximate the eggshell's inner proteinaceous layer, the keratin nanofibers were embedded in an egg white matrix using a dip-coating procedure. The mineral component, typically found in Testudines and Crocodylia eggshells, was mimicked by depositing calcium carbonate particles onto the keratin-based membranes.
This biomimetic approach paves the way for the production of multifunctional, biocompatible keratin-based membranes tailored to the specific needs of various end-applications such as filtration membranes, wound dressings, smart textiles, etc.

Debruyn, G., Geltmeyer, J., Schoolaert, E., Nicolaï, M. P. J., Xie, W., Wynant, M., Shawkey, M. D., De Clerck, K., & D'Alba, L. (2024). Hydric Environment and Chemical Composition Shape Non-avian Reptile Eggshell Absorption. Integrative and Comparative Biology, 64(1), 107–119. https://doi.org/10.1093/ICB/ICAE040
Additional file 2 of Understanding the role of religious beliefs in adherence to antiretroviral therapy among Pentecostal Christians living with HIV in sub-Saharan Africa: a scoping review
Creators: name: Azia, Ivo Nchendia
name: Nyembezi, Anam
name: Carelse, Shernaaz
name: Mukumbang, Ferdinand C.
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Sociology
subject: FOS: Sociology
subject: Science Policy
subject: Infectious Diseases
subject: FOS: Health sciences

description: Additional file 2. Relevant data was extracted from the seven eligible studies on religious beliefs impacting adherence to ART among Pentecostal Christians in sub-Saharan Africa.
Additional file 1 of Microbial community coalescence and nitrogen cycling in simulated mortality decomposition hotspots
Creators: name: Keenan, Sarah W.
name: Emmons, Alexandra L.
name: DeBruyn, Jennifer M.
Publisher: name: figshare
Year: 2024
Subjects: subject: Microbiology
subject: FOS: Biological sciences

description: Additional file 1: Table S1. Cumulative CO2 data for microcosms. Table S2. Gravimetric moisture data for microcosms. Table S3. Tests for normality (Shapiro–Wilk) and results of one-way ANOVA testing for significant differences within each treatment and each temperature for CO2 over time. Table S4. Cumulative N2O data for microcosms. Table S5. Cumulative CH4 data for microcosms. Table S6. Tests for normality (Shapiro–Wilk) and results of one-way ANOVA testing for significant differences within each treatment and each temperature for pH over time (days 0–39). Table S7. Soil conductivity for each treatment and temperature over time. Table S8. Tests for normality (Shapiro–Wilk) and results of one-way ANOVA testing for significant differences within each treatment and each temperature for conductivity over time (days 0–39). Table S9. Cumulative nitrification potential rate data for microcosms. Table S10. Tests for normality (Shapiro–Wilk) and results of one-way ANOVA testing for significant differences within each treatment and each temperature for protein over time (days 0–39). Table S11. Protein content of soils from each treatment and temperature over time. Table S12. Alpha diversity metrics of microbial communities in each library. Table S13. Means testing for differences in alpha diversity metrics between treatments. Table S14. Proportion of the communities derived from the soil and carcass fluid sources, estimated using FEAST (Fast Expectation–Maximization for Microbial Source Tracking). Figure S1. Schematic diagram of the sampling protocol for each microcosm jar. Figure S2. Cumulative CO2 release (µg g−1) across all treatments, temperatures, and over time. Figure S3. Stacked bar charts showing mean (n = 3) relative abundance of bacterial phyla with a relative abundance > 1%. Figure S4. Hierarchical clustering of group average Bray–Curtis distances, relating Treatments 2 (soil only) and 3 (soil + carcass) to the initial decomposition communities (C).
Compact and Impact-resilient Robot Actuators via Lightweight Overload Clutch with Wedged Rollers
Creators: name: Frederik Ostyn
name: Guillaume Crevecoeur
Publisher: name: Zenodo
Year: 2025

description: Robots avoid collisions as these can lead to hardware damage. To deploy robots in less structured environments, robust hardware is required. Traditional approaches that
improve impact-resilience result in bulky actuators, increased backlash or decreased torque density. A lightweight and compact clutch principle based on wedged rollers is presented as well as an experimental proof-of-concept. A use case involving the design of clutched planetary gearbox actuators tailored to humanoid robot legs shows a reduction in axial length of 25% up to 40% depending on the maximum expected overload.
ГЛОБАЛЛАШУВ ШАРОИТИДА МАЪНАВИЙ ТАҲДИДЛАР МАҚСАДЛАРИ ВА АСОСИЙ ЙЎНАЛИШЛАРИ
Creators: name: Очилова, Нигора
Publisher: name: Zenodo
Year: 2024

description: Ёшлар хавфсизлигига таҳдид солиб турган омиллар сарасида маънавий таҳдидлар алоҳида ўрин тутади. Унинг моҳиятини аниқлашдан аввал фалсафа назариясининг барча учун маълум бўлган назарий хулосасига мурожаат этиб ўтиш лозим. Маълумки, маънавият ҳақида гап кетганда, энг аввало, “жа-миятнинг маънавий соҳаси” ва “инсон маънавий қиёфаси” тушунчаларини бир-биридан ажратмоқ лозим. Жамиятнинг маънавий соҳаси инсон ақл-заковати билан яратилган сиёсий, ҳуқуқий, ахлоқий, диний, фалсафий, илмий, эстетик, иқтисодий, экологик ва бошқа қарашлар, билимлар, ғоялар, тасаввурлар, кайфиятлар ва ҳоказолар йиғиндисини қамраб олади.