cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Characterization of Soft 3-D Printed Actuators for Parallel Networks
Creators: name: Khetan, Shashank
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Mechanical engineering not elsewhere classified

description: Soft pneumatic actuators allow compliant force application and movement for a variety of tasks. While most soft actuators have compliance in directions perpendicular to their direction of force application, they are most often analyzed only in their direction of actuation. In this work, we show a characterization of a soft 3D printed bellows actuator that considers shear and axial deformations, modeling both active and passive degrees of freedom. We build a model based on actuator geometry and a parallel linear and torsional spring system which we fit to experimental data in order to obtain the model constants. We demonstrate this model on two complex parallel networks, a delta mechanism and a floating actuator mechanism, and show how this single actuator model can be used to better predict movements in parallel structures of actuators. These results verify that the presented model and modeling approach can be used to speed up the design and simulation of more complex soft robot models by characterizing both active and passive forces of their one degree-of-freedom soft actuators.
Exploring Kinship Systems: The Retention of Black Undergraduate Students at HBCUs
Creators: name: Broughton, Kimberly N
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Philosophy of language
Other education not elsewhere classified
Education assessment and evaluation

description: Traditional kinship systems involve the organization of individuals who are biologically connected. However, such systems have evolved beyond bloodlines to incorporate individuals that are biologically unassociated but operate in familial-like roles due to shared spaces and/or experiences. Historically, kinship systems or cultural networks have functioned as the cornerstone of survival for those of the Black lived experience. From the days of legalized human chattel slavery to present-day movements seeking justice for the minoritized, the foundation of kinship was typically built through the local church, the assumed maternal positions by Black women, Black secret societies and more. They each served, and continue to serve, as a means for survival and success against a systemically oppressive society. This study explores the notion and existence of kinship systems at historically Black colleges and universities (HBCUs). It specifically examines how fictive kinships through the lens of faculty-student dynamics, religion, and social activities, potentially influences the academic experience of Black students at HBCUs that currently have an above average retention rate. As America’s educational institution has lacked diversity, inclusion, justice, and equity for Black people for countless years, the primary mission of this study was to amplify Black student voices which have traditionally been suppressed. A supplemental goal of this study was to offer Black students tools for introspection that will aid them in navigating possible barriers to (post) educational success. In turn, this study gives insight to predominantly white institutions of higher learning on how to positively enhance the experience and retention of Black students, and the overall structure of diversity and inclusion on campus.
sj-pdf-2-asp-10.1177_00037028211047898 - Supplemental material for Calculation of Spectral Optical Constants Using Combined Ellipsometric and Reflectance Methods for Smooth and Rough Bulk Samples
Creators: name: Fortin, Gilles
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 99999 Engineering not elsewhere classified
subject: FOS: Other engineering and technologies

description: Supplemental material, sj-pdf-2-asp-10.1177_00037028211047898 for Calculation of Spectral Optical Constants Using Combined Ellipsometric and Reflectance Methods for Smooth and Rough Bulk Samples by Gilles Fortin in Applied Spectroscopy
Additional file 1 of COVID-19 vaccination in pregnancy: the impact of multimorbidity and smoking status on vaccine hesitancy, a cohort study of 25,111 women in Wales, UK
Creators: name: Mhereeg, Mohamed
name: Jones, Hope
name: Kennedy, Jonathan
name: Seaborne, Mike
name: Parker, Michael
name: Kennedy, Natasha
name: Akbari, Ashley
name: Zuccolo, Luisa
name: Azcoaga-Lorenzo, Amaya
name: Davies, Alisha
name: Nirantharakumar, Krishnarajah
name: Brophy, Sinead
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Cell Biology
subject: Biotechnology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Science Policy

description: Supplementary Material 1
EFFECTS OF HIGH PROTEIN LEAN BEEF DIET WITH RESISTANCE TRAINING ON SKELETAL MUSCLE IN OLDER WOMEN
Creators: name: Barker, Anna C.
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Exercise physiology

description: Sarcopenia is the age-associated loss of muscle mass and strength. Studies have shown that combining resistance training with high protein intake increases muscle mass and strength in older adults. Women are at higher risk than men of sarcopenia. Thus, it is essential to find interventions to lessen women’s risk of losing muscle mass with aging. However, limited studies combine a specific higher-protein diet and a resistance training program in older women to determine skeletal muscle responses. This study aimed to assess the impact of a 12-week resistance training program with a high protein lean beef diet on skeletal muscle mass, strength, and quality in older women compared to a normal protein diet or a high protein diet composed of a lesser amount of beef. The study included three diets; a USDA recommended protein diet (0.8 g/kg/day), a high protein lean beef diet (1.4 g/kg/day), and a high protein diet composed of lesser beef (1.4 g/kg/day). Sixteen subjects were included in the study. The resistance training program consisted of leg extension, leg press, leg curl, chest press, and seated row. Muscle strength was determined by one-repetition maximum assessment at weeks one, six, and twelve. In addition, subjects underwent an MRI pre- and post-intervention to assess quadriceps volume and intermuscular adipose tissue (IMAT). Muscle quality was defined as the leg extension one-repetition maximum over the quadriceps volume. Muscle strength, muscle quality, and quadriceps volume increased with training in all three diet groups (P<0.05, main effect of time). No difference in muscle strength, quality, or quadriceps volume was found between the diet groups. IMAT decreased in all diet groups (P<0.05, main effect of time), but no differences were seen between the diet groups. These findings suggest that the 12-weeks of resistance training increased skeletal muscle strength, quality, and mass, independent of the normal protein or high protein diet and the source of protein in the diet.
sj-pdf-1-aor-10.1177_00034894211051822 – Supplemental material for Evaluation of Industry Relationships Among Authors of Systematic Reviews and Meta-analyses Regarding Ménières Disease
Creators: name: Wenger, David
name: Nowlin, Ross
name: Johnson, Austin L.
name: Anderson, Michael
name: Weaver, Michael
name: Hartwell, Micah
name: Vassar, Matt
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 110315 Otorhinolaryngology
subject: FOS: Clinical medicine

description: Supplemental material, sj-pdf-1-aor-10.1177_00034894211051822 for Evaluation of Industry Relationships Among Authors of Systematic Reviews and Meta-analyses Regarding Ménières Disease by David Wenger, Ross Nowlin, Austin L. Johnson, Michael Anderson, Michael Weaver, Micah Hartwell and Matt Vassar in Annals of Otology, Rhinology & Laryngology
IMPACT OF NOREPINEPHRINE ON THE GROWTH AND VIRULENCE OF CLOSTRIDIOIDES DIFFICILE
Creators: name: Sharmin, Kamrun Naher
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Industrial microbiology (incl. biofeedstocks)

description: Clostridioides difficileinfection (CDI) is considered as an urgent threat to the publicby CDC, 2019.It causes life-threatening diarrhea and pseudomembranous colitis,mostly in those taking antibiotics or at the end of their antibiotic course.It is also notifiedas hospital-associated pathogensbecause one-third of the CDIhas occurredinthe health care center. Norepinephrine (NE) is a stress-associated neuroendocrine hormone released upon sympathetic stimulation to mediate stress.Gut walls are highly innervated by the sympathetic nervous system. During stress, elevated level of NE released in the GI tractcould influence bacterial overgrowth & translocation. It isalready known for its role in modulating the behavior of several bacterial pathogens suchas Staphylococcus, Escherichia coli, Salmonella, and Vibrio cholera. This study aims to evaluate the effect of NE treatment on the growth and virulence of C. difficile.Here, we studied the effect of NE on six different C. difficilestrains isolated from humans. To understandthe influence on growth, bacterial culture was treated (+/-)NE (5μM & 50 μM)during their log phase and recorded the density of the cell each time period for constructing the growth curve. In addition, after NE treatment, bacterial cells were taken for further analysis. For investigating the impact of NE on the virulence genes expression, a qPCR reaction was performed along with -RT / noRT control reactions for assessingthe RNA sample free from genomic DNA contamination. In the case of growth,higher growth was observed in VPI 10463at 6 hourtime pointonly,and in strain,NR 49277 significantly stimulated after 6 hoursand continued till 8 hours after treatmentwith50μM NE. In strain NR 49282, decreasedgrowth was observed at7-hourtime pointsafter 50 μM NEtreatment.But, there was no difference in cell density between control & 5μM NE treated bacterial culture in all strains. Toxingenes(tcdA&tcdB)and flagellin gene(fliC),were upregulated in NR 49290, NR 49277 & VPI 10463strains in both concentrations of NE and down-regulated in NR 49282.In strain NR 32888, toxin genes were downregulated while treated with 5μM NEbut upregulated after 50μM NEtreatment, though fliC was downregulated in both concentrations. In strain NR 32891, tcdAwas downregulated,but tcdB& fliCwere upregulatedafter NE treatmentin both concentrations. Increased expression in pilin gene,pilA1in strain NR 49277, NR 49290, VPI 10463& NR 32891 in both concentrationswas observed. In addition, pilA3in NR 49277, VPI 10463& NR 32891 and PilA5in NR 49277 & NR 49290 showed an upregulation pattern while treated with both concentrations. Modulating this response, it is possible to reduce the pathogenicity of C. difficileduring medical care & antibiotic use.
Network-Centered Resource Management for HPC Networks
Creators: name: Dante Van Poucke
name: Wouter Tavernier
name: Didier Colle
Publisher: name: Zenodo
Year: 2025

description: The significance of High-Performance Computing (HPC) cannot be overstated in today's research and industry landscape. Supercomputers play a crucial role in solving the most challenging problems in various domains, such as climate modelling, decoding the genome of cancerous cells, and training language models like ChatGPT. However, a significant problem with modern large-scale HPC systems is the underutilization of the available computing power, typically hovering around 3% for common HPC workloads. This not only results in the waste of money and energy but also limits innovation. The inefficiency is rooted in the communication demands of today's applications, causing bottlenecks in the HPC's interconnection network. This presents an opportunity to enhance system efficiency through network-oriented resource management. The goal of our research is to improve the effective computing power of supercomputers by developing new resource management strategies. We advocate that flexibility and direct control over resources are the fundamental principles for improving efficiency. State-of-the-art approaches concentrate solely on managing the compute resources and only consider static application and network behaviour. We plan to improve resource managers by introducing methods for real-time monitoring and modelling large-scale networks. Utilizing these methods, we aim to develop scalable strategies for managing both compute and network resources. Furthermore, we will explore the potential of elastic job scheduling. Through these efforts, we aim to overcome the network bottlenecks and prepare HPC systems for the future.
COMPARING SOCIAL ENGINEERING TRAINING IN THE CONTEXT OF HEALTHCARE
Creators: name: Ordonez, Giovanni
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: System and network security

description: Social Engineering attacks have been a rising issue in recent years, affecting a multitude of industries. One industry that has been of great interest to hackers is the Healthcare industry due to the high value of patient information. Social Engineering attacks are mainly common because of the ease of execution and the high probability of victimization. A popular way of combatting Social Engineering attacks is by increasing the user’s ability to detect indicators of attack, which requires a level of cybersecurity education. While the number of cybersecurity training programs is increasing, Social Engineering attacks are still very successful. Therefore, education programs need to be improved to effectively increase the ability of users to notice indicators of attack. This research aimed to answer the question - what teaching method results in the greatest learning gains for understanding Social Engineering concepts? This was done by investigating text-based, gamification, and adversarial thinking teaching methods. These three teaching methods were used to deliver lessons on an online platform to a sample of Purdue students. After conducting analysis, both text-based and adversarial thinking showed significant improvement in the understanding of Social Engineering concepts within the student sample. After conducting a follow-up test, a single teaching method was not found to be better among the three teaching methods. However, this study did find two teaching methods that can be used to develop training programs to help decrease the total number of successful Social Engineering attacks across industries.
Hydrogen production from decomposition of ethanol using a non-self-sustained plasma discharge at atmospheric pressure: Hydrogen selectivity and energy efficiency evaluation
Creators: name: Aftab Javaheri
name: Victor Lievens
name: Mikhail Gromov
name: Anton Nikiforov
name: Rino Morent
name: Nathalie De Geyter
Publisher: name: Zenodo
Year: 2025

description: Today, hydrogen stands out as one of the most strategically important substitutes for
carbon-based fuels, offering numerous advantages. These include a reduction in reliance on
finite reserves of fossil fuels, mitigation of the greenhouse effect by minimizing CO2 emissions,
and the release of more energy during combustion compared to traditional fuels. However,
over 95% of the current hydrogen production stems from fossil fuels, predominantly through
steam methane reforming (SMR), an energy-intensive process that generates substantial
quantities of CO2. Hence, there's a growing interest in exploring alternative techniques, such as
leveraging plasma sources. Non-thermal plasmas (NTPs) have emerged as a promising avenue
for hydrogen production through the decomposition of hydrocarbons, alcohols, and various
polymers, given their CO2 neutrality and compatibility with renewable energy sources.
NTPs can efficiently dissociate almost any H-rich compounds into molecular hydrogen and
other valuable products such as C2H6 and CO. Among H-rich feedstocks, ethanol has captured
researchers' attention due to its derivation from renewable bio-ethanol obtained from biomass.
However, enhancing the conversion efficiency and selectivity of this process remains of
importance. Within the realm of NTPs, non-self-sustained plasma discharges, operating at
atmospheric pressure, are known to prevent instabilities and create large-volume plasmas
crucial for chemical reactions. Nonetheless, they represent a relatively underexplored yet
promising frontier for hydrogen generation from ethanol.
In the current study, we employ a plasma discharge operated in a non-self-sustained regime
for ethanol decomposition into molecular hydrogen. Ethanol in the gas phase is introduced into
the discharge and the resulting decomposition products are analyzed using gas chromatography.
We investigate the impact of different gas flow rates on the gas vortex inside the reactor.
Moreover, we explore ethanol decomposition under various atmospheres such as argon and
nitrogen. Our findings reveal complete ethanol decomposition, with hydrogen being the
predominant product detected by gas chromatography, alongside other compounds such as CO,
CO2, carbon black, CH4, and C2H6. Furthermore, we determine key parameters like energy yield
and selectivity across a wide range of experimental conditions.
sj-pdf-1-imr-10.1177_03000605211049961 - Supplemental material for Application of the IntraSPINE® interlaminar device in patients with osteoporosis and spinal stenosis: two case reports
Creators: name: Yeh, Kuei-Lin
name: Wu, Szu-Hsien
name: Wu, Shing-Sheng
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

description: Supplemental material, sj-pdf-1-imr-10.1177_03000605211049961 for Application of the IntraSPINE® interlaminar device in patients with osteoporosis and spinal stenosis: two case reports by Kuei-Lin Yeh, Szu-Hsien Wu and Shing-Sheng Wu in Journal of International Medical Research
sj-pdf-1-ult-10.1177_1742271X211047945 - Supplemental material for Point-of-care contrast enhanced lung ultrasound and COVID-19
Creators: name: Tee, Alice
name: Yusuf, Gibran Timothy
name: Wong, Adrian
name: Rao, Deepak
name: Tran, Sa
name: Sidhu, Paul S
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 111402 Obstetrics and Gynaecology
subject: FOS: Clinical medicine
subject: 110320 Radiology and Organ Imaging

description: Supplemental material, sj-pdf-1-ult-10.1177_1742271X211047945 for Point-of-care contrast enhanced lung ultrasound and COVID-19 by Alice Tee, Gibran Timothy Yusuf, Adrian Wong, Deepak Rao, Sa Tran and Paul S Sidhu in Ultrasound
sj-pdf-2-mpx-10.1177_17448069211043965 - Supplemental material for A systematic review on descending serotonergic projections and modulation of spinal nociception in chronic neuropathic pain and after spinal cord stimulation
Creators: name: Heijmans, Lonne
name: Mons, Martijn R
name: Joosten, Elbert A
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 110904 Neurology and Neuromuscular Diseases
subject: FOS: Clinical medicine
subject: 111702 Aged Health Care
subject: FOS: Health sciences
subject: 111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified
subject: Neuroscience

description: Supplemental material, sj-pdf-2-mpx-10.1177_17448069211043965 for A systematic review on descending serotonergic projections and modulation of spinal nociception in chronic neuropathic pain and after spinal cord stimulation by Lonne Heijmans, Martijn R Mons and Elbert A Joosten in Molecular Pain
Mechanical characterisation and fibre morphology analysis in ABS and short carbon fibre composites: influence of different polymer processing techniques
Creators: name: Ilke Pelgrims
name: Ellen Fernandez
name: Hannelore Ohnmacht
name: Mariya Edeleva
name: Ludwig Cardon
Publisher: name: Zenodo
Year: 2025

description: Polymer composites have attracted considerable interest due to their potential to enhance mechanical properties of polymers for advanced applications. Yet, challenges exist, including complex mechanical behaviour and poor affinity between reinforcement material and polymer matrix. This study investigates the influence of different processing methods on the mechanical properties of acrylonitrile butadiene styrene (ABS) reinforced with 15 wt% short carbon fibres (sCF), with a main focus on the fibre morphology. By analysing injection moulded (IM), fused filament fabricated (FFF) and compression moulded (CM) parts, this research aims to elucidate the relationship between the processing method, fibre orientation and mechanical properties. Improved affinity is achieved through nitric acid surface treatment. Scanning electron and optical microscopy are used to analyse the morphology, revealing insights into void presence and fibre roughness, length, distribution, and orientation. Additionally, mechanical properties are assessed through impact, tensile and flexural tests. Significant differences in morphology among ABS/sCF composites produced by different methods are revealed. Microscopy images show that in IM parts, fibres are highly aligned in the shear layer but exhibit a more varying orientation in the core, with minimal voids. FFF parts exhibit excellent sCF alignment but show voids between different layers, while CM parts display varying fibre orientations and small air inclusions. Test bars produced via IM demonstrate superior stiffness, tensile strength, and tensile strain at break, followed by FFF (which shows a very high impact strength), while CM parts exhibit the least favourable properties, partly due to their isotropic nature and random sCF orientation. These outcomes can be immediately linked to the resulting morphologies. The findings of this work highlight the critical role of processing methods and fibre morphology in determining the composite performance.
sj-pdf-1-dst-10.1177_19322968211046021 – Supplemental material for Hybrid Closed-Loop Control with Ultrarapid Lispro Compared with Standard Insulin Aspart and Faster Insulin Aspart: An In silico Study
Creators: name: Lachal, Sylvain
name: Tourki, Yousra
name: Franc, Sylvia
name: Huneker, Erik
name: Charpentier, Guillaume
name: Benhamou, Pierre Yves
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences
subject: 110306 Endocrinology
subject: FOS: Clinical medicine
subject: Medicine
subject: 111199 Nutrition and Dietetics not elsewhere classified

description: Supplemental material, sj-pdf-1-dst-10.1177_19322968211046021 for Hybrid Closed-Loop Control with Ultrarapid Lispro Compared with Standard Insulin Aspart and Faster Insulin Aspart: An In silico Study by Sylvain Lachal, Yousra Tourki, Sylvia Franc, Erik Huneker, Guillaume Charpentier and Pierre Yves Benhamou in Journal of Diabetes Science and Technology
sj-docx-1-tpx-10.1177_01926233211041962 – Supplemental material for Scientific and Regulatory Policy Committee Points to Consider: Nonclinical Research and Development of In Vivo Gene Therapy Products, Emphasizing Adeno-Associated Virus Vectors
Creators: name: Hutt, Julie A.
name: Assaf, Basel T.
name: Bolon, Brad
name: Cavagnaro, Joy
name: Galbreath, Elizabeth
name: Grubor, Branka
name: Kattenhorn, Lisa M.
name: Romeike, Annette
name: Whiteley, Laurence O.
Publisher: name: SAGE Journals
Year: 2022
Subjects: subject: 111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified
subject: FOS: Clinical medicine

description: Supplemental material, sj-docx-1-tpx-10.1177_01926233211041962 for Scientific and Regulatory Policy Committee Points to Consider: Nonclinical Research and Development of In Vivo Gene Therapy Products, Emphasizing Adeno-Associated Virus Vectors by Julie A. Hutt, Basel T. Assaf, Brad Bolon, Joy Cavagnaro, Elizabeth Galbreath, Branka Grubor, Lisa M. Kattenhorn, Annette Romeike and Laurence O. Whiteley in Toxicologic Pathology
Additional file 1 of A computational framework for improving genetic variants identification from 5,061 sheep sequencing data
Creators: name: Xie, Shangqian
name: Isaacs, Karissa
name: Becker, Gabrielle
name: Murdoch, Brenda M.
Publisher: name: figshare
Year: 2024
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 1: Fig. S1. The distributions of mapping qualities and consistent sample number in GATK and Freebayes. Fig. S2 The concordance of raw variants in SNP and Indel. Fig. S3. Comparison of mapping qualities at pre- and post-FDR in Freebayes. Fig. S4. Variants comparison in 1×, 2×, 4× and 5× coverage. Fig. S5. Variants venn of GATK joint, Freebayes joint and new method for WGS data
The Veneer of American Realism: The Joints of Howellsian Realism and Race Exposed
Creators: name: Stieber, Alexandra Georgia
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: English language
Literary studies not elsewhere classified
North American literature

description: While William Dean Howells's influence in nineteenth-century American Realism is indisputable, this thesis will explain why seeing Howellsian Realism as the gold standard of Realism is not an equitable approach to defining the genre or understanding its social impact. This thesis uses literary historicism to examine, through the literary career of Charles W. Chesnutt, the way Black authors of the nineteenth century had to navigate writing Realism for an audience that was immersed in minstrelsy and was therefore misinformed about Black life and Black culture. This project questions the exclusivity of viewing Realism as the “House of Howells” and asks in what ways that exclusivity affects Black writers’ voices and literary futures.
Investigating the Influence of Rheological Parameters on Mechanical Performance of 3D-printed Lattice Structures Using Doehlert Design
Creators: name: Laia Farràs-Tasias
name: Max Vermeerbergen
name: Francisco A. Gilabert
name: Ludwig Cardon
name: Flavio H. Marchesini
Publisher: name: Zenodo
Year: 2025

description: Lattice structures are composed of repeating unit cells arranged in a three-dimensional pattern. They usually exhibit higher stiffness and strength compared to conventional designs, making them ideal for lightweight, high-performance applications. Due to their complex geometry, they are often impossible to manufacture with traditional methods, positioning Additive Manufacturing (AM) as the preferred solution. While these structures are typically manufactured using rigid materials, flexible materials are gaining interest due to their enhanced damping properties under compression. When manufactured through processes such as Fused Deposition Modelling (FDM), the rheological behaviour of the material during printing plays a critical role in determining the mechanical properties of the final structure. Challenges such as poor adhesion, can induce anisotropy and affect the failure mechanisms of these structures. During extrusion, variations in shear rate and temperature significantly impact the material's performance, making control over parameters like viscosity and shear rates essential.
This study aims to optimize the rheological properties of printable materials to enhance the mechanical performance of lattice structures using a Doehlert design of experiments strategy. A challenging flexible lightweight lattice structure, made from Thermoplastic Polyurethane (TPU), is chosen to be mechanically improved for a morphing wing application. Flow curves of the molten material are obtained across different temperatures, and the time-temperature superposition principle is applied to obtain the exact rheological conditions used in the study. By integrating a Response Surface Methodology (RSM) with a Doehlert design, the extrusion parameters – specifically viscosity and shear rates – are fine-tuned to achieve optimal mechanical properties. This approach demonstrates that high-performance lattice structures can be efficiently produced with minimal experimentation, overcoming traditional trial-and-error methods commonly used in the field.
sj-pdf-1-jtr-10.1177_00472875211039556 – Supplemental material for Charismatic Tour-Guiding: Scale Development and Validation
Creators: name: Teng, Hsiu-Yu
name: Tsaur, Sheng-Hshiung
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 150310 Organisation and Management Theory
subject: FOS: Economics and business
subject: 150402 Hospitality Management

description: Supplemental material, sj-pdf-1-jtr-10.1177_00472875211039556 for Charismatic Tour-Guiding: Scale Development and Validation by Hsiu-Yu Teng and Sheng-Hshiung Tsaur in Journal of Travel Research
sj-pdf-1-pic-10.1177_09544062211026356 - Supplemental material for Design of a multi-resiliency exoskeleton and its physiologic cost evaluation in uphill walking and stair climbing locomotion
Creators: name: Cao, Enguo
name: Ren, MengYi
name: Cui, YuTian
name: Wang, Kun
name: Yang, Bin
Publisher: name: SAGE Journals
Year: 2021
Subjects: Engineering not elsewhere classified

description: Supplemental material, sj-pdf-1-pic-10.1177_09544062211026356 for Design of a multi-resiliency exoskeleton and its physiologic cost evaluation in uphill walking and stair climbing locomotion by Enguo Cao, MengYi Ren, YuTian Cui, Kun Wang and Bin Yang in Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science
Digital Image Processing And Machine Learning Research: Digital Color Halftoning, Printed Image Artifact Detection And Quality Assessment, And Image Denoising.
Creators: name: Yang, Yi
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Computer vision
Artificial intelligence not elsewhere classified

description: To begin with, we describe a project in which three screens for Cyan, Magenta, and Yellow colorants were designed jointly using the Direct Binary Search algorithm (DBS). The screen set generated by the algorithm can be used to halftone color images easily and quickly. The halftoning results demonstrate that by utilizing the screen sets, it is possible to obtain high-quality color halftone images while significantly reducing computational complexity. Our next research focuses on defect detection and quality assessment of printed images. We measure and analyze macro-uniformity, banding, and color plane misregistration. For these three defects, we designed different pipelines for them and developed a series of digital image processing and computer vision algorithms for the purpose of quantifying and evaluating these printed image defects. Additionally, we conduct a human psychophysical experiment to collect perceptual assessments and use machine learning approaches to predict image quality scores based on human vision. We study modern deep convolutional neural networks for image denoising and propose a network designed for AWGN image denoising. Our network removes the bias at each layer to achieve the benefits of scaling invariant network; additionally, it implements a mix loss function to boost performance. We train and evaluate our denoising results using PSNR, SSIM, and LPIPS, and demonstrate that our results achieve impressive performance on both objective and subjective IQA assessments.
sj-pdf-2-pic-10.1177_09544062211026356 - Supplemental material for Design of a multi-resiliency exoskeleton and its physiologic cost evaluation in uphill walking and stair climbing locomotion
Creators: name: Cao, Enguo
name: Ren, MengYi
name: Cui, YuTian
name: Wang, Kun
name: Yang, Bin
Publisher: name: SAGE Journals
Year: 2021
Subjects: Engineering not elsewhere classified

description: Supplemental material, sj-pdf-2-pic-10.1177_09544062211026356 for Design of a multi-resiliency exoskeleton and its physiologic cost evaluation in uphill walking and stair climbing locomotion by Enguo Cao, MengYi Ren, YuTian Cui, Kun Wang and Bin Yang in Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science
Additional file 1 of Identification of potential drug targets for rheumatoid arthritis from genetic insights: a Mendelian randomization study
Creators: name: Cao, Yu
name: Yang, Ying
name: Hu, Qingfeng
name: Wei, Guojun
Publisher: name: figshare
Year: 2024
Subjects: subject: Biophysics
subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Pharmacology
subject: Ecology
subject: Cancer
subject: Mental Health

description: Additional file 1: Table S1. Results of the three Mendelian randomization methods in the discovery phase. Table S2. Results of MR Egger intercept horizontal pleiotropy test at the discovery stage level. Table S3. Results of heterogeneity test at the discovery phase. Table S4. Results of the three Mendelian randomization methods in the replication phase. Table S5. Results of MR Egger intercept horizontal pleiotropy test at the replication stage level. Table S6. Results of heterogeneity test at the replication phase. Figure S1-S14. PheWAS results for each gene.
Micro-transfer printing of O-band InP-InGaAs photodiodes on a silicon nitride photonic platform
Creators: name: Senbiao Qin
name: Laurens Bogaert
name: Jing Zhang
name: Gunther Roelkens
Publisher: name: Zenodo
Year: 2025

description: For integrated photonic applications that use visible and near-infrared light, silicon nitride is the perfect material. It combines transparency for visible and near-infrared wavelengths, compatibility with CMOS technology, watt-range power handling, low-temperature sensitivity, etc. A growing number of photonic integrated circuit (PIC) applications can benefit from this platform, including communication, quantum applications, high-performance light sources, bio-photonics, optical beamforming, and gas sensing. However, this platform is intrinsically passive and requires heterogeneous integration techniques to introduce active components to enable the aforementioned applications. In this poster, we present the heterogeneous integration of O-band InP-InGaAs photodiodes on a silicon nitride photonic platform using micro-transfer printing technology. The devices exhibit a responsivity of 0.9 A/W at 1310 nm with an applied bias voltage of -3 V, and a 30 GHz 3-dB bandwidth.
MSL - Unveiling the Landscape of System Thinking Modeling Tools Use in Software Engineering
Creators: name: Authors, The
Publisher: name: figshare
Year: 2024
Subjects: classificationCode: 461203
subject: Formal methods for software

description: Context: Software organizations involve several processes, people, practices, culture, and other factors that affect their behavior. Understanding the organizational environment is crucial for improving processes and products. System Thinking (ST) provides several tools that help in this matter. ST views an organization as a system, comprising elements and interconnections coherently organized in a structure that produces a characteristic set of behaviors. Objective: Given ST's successful application in different areas of industry and academia, and its potential to address Software Engineering (SE) problems, we decided to investigate how ST modeling tools have been used in SE. Our goal is to provide a panorama of the use of such tools in SE, identify gaps, and shine a light on research opportunities. Method: We carried out a systematic literature mapping, analyzing 704 publications. From these, we identified 10 publications addressing the use of ST modeling tools in SE and conducted an in-depth analysis. Results: ST modeling tools have been employed to tackle SE issues in organizational contexts and to model and analyze the results of SE studies. Project Management and Requirements Engineering have been the most common processes in which these tools have been applied. ST modeling tools have helped get a holistic view of complex systems and identify strategies to address problematic behaviors that affect SE outcomes. Causal loop diagrams, depicting cause-and-effect relationships and feedback loops, have been the predominant tool. The lack of knowledge necessary for using the tools has been a challenge. Conclusion: In summary, the results indicate that using ST tools in SE holds promise. Nevertheless, they also suggest that ST modeling tools have been underexplored in SE. Hence, further investigation into their potential for enhancing SE products and processes is warranted.
Effect of cannabidiol on fall armyworm performance and enzyme activity
Creators: name: Abendroth, James A
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Ecology not elsewhere classified

description: Plant chemistry influences plant-nutritional quality, which in turn impacts plant-insect interactions. Plant secondary metabolites are pervasive in the plant kingdom and have been shown to influence both plant nutritional quality and plant-insect interactions. Levels of these secondary metabolites, as well as quantity, can impact availability of key macromolecules herbivorous insects need for optimal nutrient intake. Herbivorous insects can modulate their growth, rate of consumption, and frass production in response to diet with poor nutritional quality. Insects can also increase the production or activity of nutritional and detoxification enzymes to offset diet with poor nutritional quality. While the influence of plant secondary metabolites on nutrient intake is better understood in many plant systems, it is not well understood in plant-insect interactions involving Cannabis sativa. An increase in large-scale agricultural production of Cannabis has introduced a novel secondary metabolite, cannabinoids, a terpenophenolic compound with known physiological effects in many animal systems, onto the landscape. While insects have been shown to exhibit reduced performance on higher cannabinoid diets, insects lack human-analog cannabinoid receptors, so how these compounds interact with insect herbivores is not well understood. A goal of this study was to increase the understanding of how cannabinoids influence herbivorous insect performance. To understand the influence of cannabinoids on insect performance and enzyme activity I performed no-choice feeding bioassays on fall armyworm (Spodoptera frugiperda) with artificial diet spiked with different concentrations of cannabidiol (CBD). I measured growth, consumption, and frass production. From these same larvae, I also analyzed detoxification and nutritional enzyme activities. I found that as CBD concentration increased in diet, growth and consumption of fall armyworm decreased. I also found that as CBD concentrations increased, protease and cytochrome P450 enzyme activity decreased, and β-glucosidase enzyme activity increased. These outcomes highlight potential mechanisms for both behavioral and biochemical mechanism by which CBD confers resistance to insect herbivores. As agricultural production of Cannabis continues to increase, cannabinoids will continue to alter the chemical landscape of agricultural systems. How insect herbivores contend with cannabinoids is an important step in understanding plant-insect interactions in Cannabis systems. Identification of the structural and functional characteristics of protease and cytochrome P450 enzymes influenced by cannabinoids are possible future avenues of research that can better develop our understanding of Cannabis-insect interactions.
Improving the treatment of neurological disorders by understanding the mechanisms of ultrasound neuromodulation
Creators: name: Joaquín Gázquez
name: Wout Joseph
name: Emmeric Tanghe
name: Thomas Tarnaud
Publisher: name: Zenodo
Year: 2025

description: Ultrasound neuromodulation (UNMOD) is the alteration of nerve activity by delivering mechanical pressure waves to a targeted area to treat neurological disorders. Low-intensity focused UNMOD is a rapidly emerging technology due to being a remotely non-invasive technique and having a millimeter-scale precision. Despite numerous experimental settings demonstrating that ultrasonic waves can modulate the neural activity in different brain areas, the interaction between the ultrasonic source and the neuronal tissue is still not fully understood. By understanding the underlying mechanism, ultrasound neuromodulation therapy can be improved by optimizing the stimulation protocol in silico (3R principles: Replacement).
This study focuses on the intramembrane cavitation mechanism, which occurs when ultrasonic pressure waves cause gas cavities to form between the phospholipid membrane leaflets. These gas cavities cause capacitive displacement currents, leading to membrane charge accumulation. In this study, we present work in progress towards simulation predictions obtained by morphologically realistic cortical cell models with the intramembrane cavitation (IC) mechanism. This allows us to determine if this mechanism can predict experimentally observed cell-type specificity to the ultrasonic protocol.
Examining the activation site, the importance of charge overtones, and comparison of the optimized model with experimental results will help determine how various ultrasonic parameters affect cortical neuromodulation.
Rarefied Plume Modeling for VISORS Mission
Creators: name: Karis, Ann Marie
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Aerodynamics (excl. hypersonic aerodynamics)
Aerospace engineering not elsewhere classified

description: The Virtual Super-resolution Optics with Reconfigurable Swarms (VISORS) mission aims to produce high-resolution images of solar release sites in the solar corona using a distributed telescope. The collected data will be used to investigate the existence of underlying energy release mechanisms. The VISORS telescope is composed of two spacecraft flying in a formation configuration. The optics spacecraft (OSC) hosts the optic system, while the detector spacecraft (DSC) is located behind the OSC in alignment with the Sun and houses a detector. The two modes of operation for the CubeSats are Science Operations Mode and Standby Mode. In Science Operations Mode, the two spacecraft are at a close distance which may make the plume impingement an issue. The cold gas thruster propulsion systems in both the OSC and DSC use R-236fa (HFC) refrigerant. The plume from the system is modeled using SPARTA Direct Simulation Monte Carlo (DSMC) Simulator while the refrigerant itself is modeled using an equivalent particle that closely matches viscosity and specific heat. This work aims to investigate plume propagation for two different flow inputs. The DSMC simulations are performed with the input parameters acquired using the isentropic relations and CFD simulations of the 2D axisymmetric nozzle flow. Additionally, the DSMC results are compared to the Boynton-Simons, Roberts-South, and Gerasimov analytical plume models.
The Virtual Mechanical System control law: the key to manipulating vibrational energy flows
Creators: name: Sarah Geyskens
name: Jasper Juchem
name: Kevin Dekemele
name: Mia Loccufier
Publisher: name: Zenodo
Year: 2025

description: As industries strive for sustainability, the use of lightweight flexible materials and complex designs to save energy also introduces non-linearities and vibrations. Furthermore, striving for fewer components translates to the need for underactuated control. To avoid invoking damage or sacrificing accuracy and speed, a revolutionary innovation of vibration control techniques is needed.
For these reasons, a new active control law is developed: The Virtual Mechanical System (VMS) control law. Combining insights from the fields of nonlinear dynamics and control, energy can be efficiently transferred and vibrations in the host system are mitigated.
The way energy transfer is realised is by exploiting non-linear phenomena. More specifically, Nonlinear Normal Modes (NNMs) exhibit energy redistribution properties, altering both frequency and spatial energy distribution.
This transfer of vibration energy is aimed towards a virtual system or a passive vibration absorber. Combining active and passive vibration control strategies, called hybrid control, is particularly interesting for decreasing the energy needs of actuators.
This project aims to create a novel vibration control framework for underactuated, nonlinear systems, and so, paves the way for more efficient and sustainable industrial practices.
Additional file 1 of Effect of the clinical decision assessment system on clinical outcomes of delirium in hospitalized older adults: study protocol for a pair-matched, parallel, cluster randomized controlled superiority trial
Creators: name: Wang, Jiamin
name: Niu, Sen
name: Wu, Ying
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Biotechnology
subject: Sociology
subject: FOS: Sociology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Science Policy
subject: Mental Health
subject: Infectious Diseases
subject: FOS: Health sciences

description: Additional file 1.
The History and Population Genomics of Managed and Feral Honey Bees (Apis mellifera L.) in the United States
Creators: name: Carpenter, Madeline Hansen
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Animal reproduction and breeding
Bioinformatics and computational biology not elsewhere classified
Genetics not elsewhere classified
Genomics
Historical studies not elsewhere classified

description: Domestication is the process by which a previously wild population is managed by humans, thereby being subjected to a different set of selective pressures than experienced in its natural setting. Its opposite, feralization, is therefore when a domesticate escapes or is released from a captive setting, reasserting natural selective pressures. The genomics underpinning both domesti- cation and feralization have not been studied in insects; the Western honey bee (Apis mellifera L.) is a good model for this system, as honey bees exist in both a managed and feral state, and have extensive historic and genomic resources to document population changes. My goal in this thesis was to 1) improve upon our understanding of honey bee importation and genetics to the United States to support demographic assertions, and 2) to sequence managed and feral stocks of honey bees to identify the population structure and 3) genetic differences underpinning domestication. Ultimately, I reconstructed 400 years of honey bee importation and management history, creating the most comprehensive understanding to date of importation dates and locations, historical man- agement practices, and genetic bottlenecks. Additionally, I summarized thirty years of honey bee genome sequencing to provide a road map for future studies. Then, I conducted whole genome pooled sequencing on six managed and three feral stocks of honey bees from the United States. The mitochondrial and whole genome ancestry of feral colonies holds relics from their importation history, while managed colonies show evidence of more recent importation events. The managed stocks in my sample set have higher overall genetic diversity, but exhibit little differentiation, but feral stocks exhibit varying levels of differentiation, indicating different levels of ferality likely dictated by the level of reproductive isolation from managed colonies.