cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Modeling Student's Response Time in a Time Constrained Online Adaptive Testing Setting
Creators: name: Wu, Tong
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Educational psychology

description: Many universities have now shifted courses to an online instruction format which may cause tremendous challenges for teaching and testing. Without the regulation of in-class testing, cheating is unavoidable, and students may take advantage of it to improve their test scores. Traditional item selection methods in Computerized Adaptive Testing (CAT) consider item usage efficiency and test security using test proctors, but seldom consider testing would occur at home, especially after the pandemic. Response Time (RT) is a process data type newly introduced into Computerized Adaptive Testing (CAT). Researchers found that RT often provides insight into students’ testing behavior, solution strategy, and cognitive demands of items. Most of the item selection methods in CAT with RT have primarily focused on the critical parts: measurement accuracy of examinees’ ability, test efficiency, and security. However, it is essential to include content balancing from a practical operation test aspect. Especially in the post-pandemic period, students study hybrid by taking online assessments for university courses. This dissertation consists of two different but rather closely related objectives: 1). Utilize response time to assist item selection method in a content constrained CAT and indirectly reduce students’ action of being dishonest. A time-constrained content balancing CAT item selection algorithm is proposed for a large-scale university course that can indirectly limit the instance and benefits of cheating. Students will rely more on their proficiency level rather than intend to cheat under the scenario of low benefits of cheating, and high risk of being caught. 2). Besides reducing students’ dishonest actions, cheat detection is a necessary process post-assessment. Machine Learning (ML) application is incorporated as a cheat detection method to compare with the traditional psychometric detection methods. Below is an outline of this dissertation.
Additional file 3 of Red blood cell distribution width as a predictor of mortality and poor functional outcome after acute ischemic stroke: a meta-analysis and meta-regression
Creators: name: Shen, Huiqin
name: Shen, Lihong
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Physiology
subject: FOS: Biological sciences
subject: Biological Sciences not elsewhere classified
subject: Cancer

description: Supplementary Material 3
CALL FOR EXPRESSION OF INTEREST FOR VIRTUAL PILOTS
Creators: name: BPIE
name: MOVERIM
name: UNICT
Publisher: name: Zenodo
Year: 2022

description: This is the call for expression of interest for virtual pilots, available in English, Romanian, Turkish, Bulgarian, Greek an Italian. e-SAFE is looking for multi-storey (at least three storeys) non historical buildings that are located in earthquake-prone areas in Europe and in need of renovation. Applications are open to building owners or building managers, public or private entities that administer social housing or public buildings, as well as real estate brokers.
BAYESIAN METHODS FOR LEARNING AND ELICITING PREFERENCES OF OCCUPANTS IN SMART BUILDINGS
Creators: name: Awalgaonkar, Nimish M
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Knowledge representation and reasoning

description: Commercial buildings consume more than 19% of the total energy consumption in the United States. Most of this energy is consumed by the HVAC and shading/lighting systems inside these buildings. The main purpose of such systems is to provide satisfactory thermal and visual environments for occupants working inside these buildings. Providing satisfactory thermal/visual conditions in indoor environments is critical since it directly affects occupants’ comfort, health and productivity and has a significant effect on energy performance of the buildings. Therefore, efficiently learning occupants’ preferences is of prime importance to address the dual energy challenge of reducing energy usage and providing occupants with comfortable spaces at the same time. The objective of this thesis is to develop robust and easy to implement algorithms for learning and eliciting thermal and visual preferences of office occupants from limited data. As such, the questions studied in this thesis are: 1) How can we exploit concepts from utility theory to model (in a Bayesian manner) the hidden thermal and visual utility functions of different occupants? Our central hypothesis is that an occupant’s preference relation over different thermal/visual states of the room can be described using a scalar function of these states, which we call the “occupant’s thermal/visual utility function.” 2) By making use of formalisms in Bayesian decision theory, how can we learn the maximally preferred thermal/visual states for different occupants without requiring unnecessary or excessive efforts from occupants and/or the building engineers? The challenge here is to minimize the number of queries posed to the occupants to learn the maximally preferred thermal/visual states for each occupant. 3) Inferring preferences of occupants based on their responses to the thermal/visual comfort-based questionnaire surveys is intrusive and expensive. Contrary to this, how can we learn the thermal/visual preferences of occupants from cheap and non-intrusive human-building interactions’ data? 4) Lastly, based on the observation that the occupant population decompose into different clusters of occupants having similar preferences, how can we exploit the collective information obtained from the similarities in the occupants’ behavior? This thesis presents viable answers to the aforementioned questions in the form of probabilistic graphical models/frameworks. In future, I hope that these frameworks would prove to be an important step towards the development of intelligent thermal/visual systems which would be able to respond to occupants’ personalized comfort needs. Furthermore, in order to encourage the use of these frameworks and ensure reproducibility in results,various implementations of this work (namely GPPref, GPElicit and GPActToPref) are published as open-source Python packages.
Additional file 44 of Database-aided UHPLC-Q-orbitrap MS/MS strategy putatively identifies 52 compounds from Wushicha Granule to propose anti-counterfeiting quality-markers for pharmacopoeia
Creators: name: Li, Xican
name: Chen, Shaoman
name: Zeng, Jingyuan
name: Cai, Rongxin
name: Liang, Yilan
name: Chen, Chuanbin
name: Chen, Ban
name: Li, Chunhou
Publisher: name: figshare
Year: 2024
Subjects: subject: Biochemistry
subject: Space Science
subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Pharmacology
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Plant Biology

description: Additional file 44. Identification of 18β-glycyrrhetinic acid and exclusion of 18α- glycyrrhetinic acid.
title: Engaging Paradoxical Tensions in Cross-Sectoral Collaborative Business Model Development for Sustainability: A Case Study in the Urban Energy Transition
Creators: name: Tschiedel, Christian
name: Feiter, Tim
name: Kock, Alexander
Publisher: name: SAGE Publications
Year: 2025

description: This article presents an in-depth case study on cross-sectoral collaborative business model development (CBMD) that is pressured to produce systemic sustainability transformations. Drawing on paradox theory, we identify three paradoxical tensions—value, creativity, and consumer tensions. While engaging these tensions offers synergy and creativity potential, engagement barriers limit stakeholders’ ability to harness this potential. Stakeholder networks can access synergy potential by engaging meso-level tensions through increased trust and collaboration. Yet, macro-level engagement barriers posed by governments and society lead to a reliance on incumbent patterns and reduce creativity. This research advocates for reconsidering CBMD processes and regulatory frameworks to enable engagement with these paradoxical tensions. Our implications offer insights for industries transitioning from centralized models to more individualized, decentralized approaches. The findings underscore the necessity of promoting reciprocal interactions and engagement across different levels and the early integration and strategic orchestration of stakeholders to cultivate trust and align objectives.
sj-pdf-1-ppq-10.1177_13540688211044475 – Supplemental Material for What Makes a Military Professional? Evaluating Norm Socialization in West Point Cadets
Creators: name: Oshri, Odelia
name: Yair, Omer
name: Huddy, Leonie
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 160607 International Relations
subject: FOS: Political science

description: Supplemental Material, sj-pdf-1-ppq-10.1177_13540688211044475 for The importance of attachment to an ideological group in multi-party systems: Evidence from Israel by Odelia Oshri, Omer Yair and Leonie Huddy in Party Politics
QUANTIFICATION OF RANDOM PROCESSES: FROM DIFFUSION TO RHEOLOGY
Creators: name: Ahmadzadegan, Adib
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Mechanical engineering not elsewhere classified
Biomechanical engineering
Fluid mechanics and thermal engineering not elsewhere classified
Image processing

description: Quantifying random processes has many practical applications, from drug delivery and pharmaceutical research to fertility analysis. Quantification of random displacement of objects in a fluid domain can lead to measuring several important physical properties. For example, from the Brownian motion of passive particles, the diffusion coefficient of the particles can be measured. Randomness can also be used to report uncertainty in particle image velocimetry (PIV) measurements. Rheological properties of the environment can be found from random displacements of probing particles.This dissertation provides novel and advanced methods for quantifying randomness and methods to extract physical information from that. As examples of random processes, we studied diffusion particles and subdiffraction objects, and actively swimming bacteria in various environmental conditions.First, we developed image-based Probability Estimation of Displacement (iPED), a method for estimating the probability density function of displacement from images of randomly moving objects. We then used iPED to measure the diffusion coefficient of particle.We also used the PDF of random displacement to estimate uncertainty in PIV measurements called Moment of Probability of Displacements (MPD). In order to extract the environmental effect on random displacements, we used iPED to study the evolution of the PDF as a function of time lag and introduced a novel approach called Particle Image Rheometry (PIR).For objects smaller than diffraction limit of the optical system, such as proteins or quantum dots, we introduce another framework to measure the diffusion coefficient by studying the overall changes in the concentration in the image domain. We termed this approach Concentration Image Diffusimetry (CID). CID enables measurement of concentration-dependent diffusion coefficient which is a tool needed for drug development and pharmaceutical industry.Overall this dissertation provides image analysis algorithms that are superior to existing methods and provide a fertile ground for research and discovery in academic and industrial settings.
MPEC 2025-F102 : DAILY ORBIT UPDATE (2025 March 24)
Creators: name: Minor Planet Center Staff
Publisher: name: The Minor Planet Center
Year: 2025
Subjects: subject: Small Solar System bodies
valueUri: http://astrothesaurus.org/uat/1469

description: The Minor Planet Electronic Circulars contain information on unusual minor planets, routine data on comets and natural satellites, and occasional editorial announcements.  They are published on behalf of Division F of the International Astronomical Union by the Minor Planet Center, Smithsonian Astrophysical Observatory, Cambridge, MA 02138, U.S.A.
PATHOPHYSIOLOGICAL MODELING OF THE NORMALIZED BRAIN TISSUE-LEVEL VOLUMETRIC EVALUATIONS OF YOUTH ATHLETES PARTICIPATING IN COLLISION SPORTS
Creators: name: Kashyap, Pratik
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Electrical engineering not elsewhere classified

description: Recent observations of short-term changes in the neural health of youth athletes participating in collision sports such as football (boys) and soccer (girls) have incited a need to explore structural alterations in their brain tissue volumes. Studies have shown biochemical, vascular, functional connectivity, and white matter diffusivity changes in the brain physiology of these athletes that are strongly correlated with repetitive head acceleration exposure from on-field collisions. Here, research is presented that highlights regional anatomical volumetric measures that change longitudinally with accrued repetitive head impacts. A novel pipeline is introduced that provides simplified data analysis on a standard-space template to quantify group-level longitudinal volumetric changes within these populations. For both sports, results highlight incremental relative regional volumetric changes in the sub-cortical cerebrospinal fluid that are strongly correlated with head exposure events greater than a 50G threshold at the short-term post-season assessment. Moreover, longitudinal regional gray matter volumes are observed to decrease with time, only returning to baseline/pre-participation levels after sufficient (5-6 months) rest from collision-based exposure. These temporal structural volumetric alterations are significantly different from normal aging observed in gender and age-matched controls participating in non-collision sports. Future work involves modeling safe repetitive head exposure thresholds with multimodal image analysis and understanding their underlying physiological functioning. A possible pathophysiological pathway is presented highlighting the probable metabolic regulatory mechanisms. The interdisciplinary nature of this work is crucial to understand this pathology accurately and aid healthcare, sport professionals in the future. It is evident that continual participation in collision- based activities may represent a risk wherein recovery cannot occur. Even when present, the degree of the eventual recovery remains to be explored but has strong implications for the well-being of collision-sport participants.
sj-docx-2-psx-10.1177_00323217211048040 – Supplemental material for Bread or Roses: How Economic Inequality Affects Regime Support in China?
Creators: name: Huang, Xian
name: Zuo, Cai
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 160607 International Relations
subject: FOS: Political science

description: Supplemental material, sj-docx-2-psx-10.1177_00323217211048040 for Bread or Roses: How Economic Inequality Affects Regime Support in China? by Xian Huang and Cai Zuo in Political Studies
Making Small Supermassive Black Holes Spin
Creators: name: Wang, J.
name: Xu, Y.
name: Xu, D. W.
name: Wei, J. Y.
Publisher: name: Zenodo
Year: 2017
Subjects: Quasars
AGN
Nearby
Type 2

description: A study on the host galaxies of a sample of radio-selected nearby (z<0.05) Seyfert 2 galaxies with a BH mass of 10^6–7  M☉.
ENTRUST D7.2 Impact Maximization Activities Interim Report
Creators: name: ENTRUST Horizon Europe
Publisher: name: Zenodo
Year: 2024

description: Deliverable D7.2 advances the ENTRUST project’s initial strategy on Dissemination, Communication, Exploitation, and Standardization, showcasing significant progress and refinement of plans. It emphasizes innovative communication methods, executes targeted dissemination activities, engages in collaborative exploitation efforts, and contributes proactively to standardization. Through strategic engagement and meticulous planning, it strengthens the project’s impact on IoT security for healthcare. Furthermore, the deliverable outlines key achievements and sets a possible roadmap for future activities, underscoring a commitment to innovation, collaboration, and sustainable success in securing Connected Medical Devices (CMDs).
The Role of Maternal Verbal Co-construction Skills in Attachment Relationships during Early Childhood
Creators: name: Liu, Muqing
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Psychology of ageing

description: Past parent-child attachment studies mainly focused on behavioral exchanges during the early years without exploring the role played by verbal exchanges. During the transition to early childhood, developing cognitive and language abilities provide a new window to examine the influence of mother-led verbal communication skills about attachment-related events, and whether those skills contribute to child attachment security. This study investigates maternal verbal communication skills (i.e., co-construction skills), their relationships with maternal sensitivity and child attachment security, and whether maternal co-construction skills add unique information to the prediction of child security, above and beyond any contributions of maternal sensitivity at 2-3 years of age. Fifty-four mother-child dyads participated in the current study. Maternal co-construction skills were assessed via a joint storytelling task; transcriptions were created and then coded using a set of three scales. Maternal sensitivity and attachment security were assessed using the Maternal Behavior with Preschoolers Q-set (MBPQS) and Attachment Q-set (AQS), respectively. Structural equation modeling was used to address the questions posed. Results indicated that maternal co-construction is not related with maternal sensitivity, though some maternal co-constructive abilities were associated with sensitivity; maternal co- construction was not a significant correlate of child attachment security at 2-3 years of age. Overall, results from this current study extend those of former research on maternal verbal co- construction skills and their relationship with mother-child attachment relationships, demonstrating that maternal language input may not start to play an important role in secure base behavior (i.e., security) until children are older. However, the association between some maternal co-construction skills and maternal sensitivity revealed the potential importance of language communication in mother-child attachment relationship. Verbal abilities were argued to be an important part in parent-child relationships and may influences child attachment longitudinally not concurrently at the beginning of early childhood.
APPLICATION OF TANDEM MASS SPECTROMETRIC METHODS BASED ON ION-MOLECULE REACTIONS FOR DRUG DEVELOPMENT AND CHARACTERIZATION OF BORON-CENTERED RADICAL DIANION
Creators: name: Liu, Judy Kuan-Yu
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Analytical chemistry not elsewhere classified
Analytical spectrometry

description: Mass spectrometry (MS) is a powerful and versatile analytical tool that is extensively used for the identification and analysis of complex mixtures. The ability to couple MS to atmospheric pressure ionization techniques and high-performance liquid chromatography (HPLC) or gas chromatography (GC) provides a high degree of experimental flexibility. MS is based on the analysis of gas-phase ions. Gas-phase ions are manipulated within the mass spectrometer and separated for detection based on their mass-to-charge (m/z) ratio.One of the most commonly used techniques for complex mixture analysis is tandem mass spectrometry (MSn). MSn involves the isolation of the desired ion and allowing it to undergo reactions, such as collision-activated dissociation (CAD) or ion-molecule reactions. Based on the generated product ions, structural information can be obtained for unknown analytes in complex mixtures. In addition, MSn methods based on diagnostic gas-phase ion-molecule reactions have been demonstrated to provide a general and predictable tool to identify specific functional groups in unknown ionized analytes and to classify unknown analytes into different compound classes depending on their functionalities.The research described in this dissertation mainly focuses on the development of tandem mass spectrometric methods based on gas-phase ion-molecule reactions and/or CAD for the identification of the N-nitroso functionality, which is present in some potentially mutagenic drug impurities. Furthermore, the dissertation discusses combining machine learning and MSn experiments based on diagnostic ion-molecule reactions of 2-methoxypropene to predict reaction outcomes in a semiautomated fashion for protonated analytes containing specific functional groups. Lastly, chemical characterization and gas-phase reactivity of the boron-centered radical dianion [B12I11]2-• toward some organic molecules are discussed.
title: State of the Ecosystem 2025: Mid-Atlantic
Creators: name: Gaichas, Sarah
name: Caracappa, Joseph
name: Beet, Andy
Publisher: name: NOAA National Marine Fisheries Service
publisherIdentifier: https://ror.org/033mqx355
publisherIdentifierScheme: ROR
Year: 2025

description: This report is for the Mid-Atlantic Fishery Management Council (MAFMC). The purpose of this report is to synthesize ecosystem information to allow the MAFMC to better meet fshery management objectives, and to update the MAFMC’s Ecosystem Approach to Fishery Management (EAFM) risk assessment.
Finite Element Modeling and Experimental Characterization of Skin and Subcutaneous Tissue Damage and Fracture
Creators: name: Tubon, John David Toaquiza
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Mechanical engineering not elsewhere classified
Biomechanical engineering

description: This study provides an overview of the implementation of a nonlinear microstructural constitutive model in ABAQUS employing a user subroutine at the level of the biomedical engineer. Two different element formulations are employed: a continuum incompressible and a plane stress incompressible. All examples are validated by performing a number of deformations on 2D and 3D square elements and comparing the analytical formulation in a programming language and the user subroutine in ABAQUS. Application models will be presented that provide a deeper look into the impacts of soft tissue deformation, damage, and fracture. Additionally, we investigate the mechanical behavior of skin layers in terms of the nominal stress-strain curve using uniaxial and cyclic loading tests on porcine skin specimens in two forms: dermis integrating epidermis and hypodermis. Experiments were performed on specimens from the belly and breast of the pigs and under both orthogonal orientations with respect to the spine direction. All tests were carried out at room temperature with cyclic loading at a constant strain rate and increasing stretch increments. Finally, data is fitted using microstructural constitutive model.
Additional file 1 of Potential role of Citrus bergamia flower essential oil against oral pathogens
Creators: name: Aziz, Muhammad Imran
name: Hasan, Muhammad Mohtasheemul
name: Ullah, Riaz
name: Bari, Ahmed
name: Khan, Mohsin Abbas
name: Hasnain, Syed Zia Ul
name: Baloch, Rabia
name: Akram, Muhammad
name: obaid, Aqsa
name: Ullah, Aziz
name: Abbas, Khizar
name: Amin, Adnan
Publisher: name: figshare
Year: 2024
Subjects: subject: Biochemistry
subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Pharmacology
subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Ecology
subject: Biological Sciences not elsewhere classified
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Virology

description: Supplementary Material 1.
USING TEMPORAL NETWORKS TO FIND THE INFLUENCER NODE OF THE BUGGY SITES IN THE CODE COMMUNITIES
Creators: name: Walia, Kanwardeep Singh
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: System and network security

description: The cyber-attacks have increased, and with everything going digital, data theft has become a significant issue. This raises an alarm on the security of the source code. Sometimes, to release products early, the security of the code is compromised. Static analysis tools can help in finding possible security issues. Identifying and fixing the security issues may overwhelm the software developers. This process of "fixing" the errors or securing the code may take a lot of time, and the product may be released before all the errors are fixed. But these vulnerabilities in the source code may cost millions of dollars in case of a data breach. It is important to fix the security issues in the source code before releasing the product. This leads to the question of how to fix errors quickly so products can be rolled out with fewer security issues? A possible solution is to use temporal networks to find the influencer nodes in the source code. If these influencer variables are fixed, the connected security issues depending on the influencer in the community (functions) will also get fixed. The research question of the study: Can we identify the influencer node of the buggy site in the source code using temporal networks (K-tool) if the buggy sites present in the source code are identified using static analysis? The study also aims to know if it is faster to find the influencer node using the K-tool than the betweenness centrality algorithm. This research is an "Applied research" and will target the code written in C programming language. Possible vulnerabilities that can be fixed include "Integer Overflow", "Out of bounds", and "Buffer overflow." In the future, we plan to extend to other errors such as "Improper input validation." In this research, we will discuss how we can find the influencer node of the vulnerability (buggy site) in the source code after running the static analysis. Fixing this influencer node will fix the remaining errors pointed out by the static analysis. This will help in reducing the number of fixes to be done in the source code so that the product can be rolled out faster with less security issues.
Additional file 45 of Database-aided UHPLC-Q-orbitrap MS/MS strategy putatively identifies 52 compounds from Wushicha Granule to propose anti-counterfeiting quality-markers for pharmacopoeia
Creators: name: Li, Xican
name: Chen, Shaoman
name: Zeng, Jingyuan
name: Cai, Rongxin
name: Liang, Yilan
name: Chen, Chuanbin
name: Chen, Ban
name: Li, Chunhou
Publisher: name: figshare
Year: 2024
Subjects: subject: Biochemistry
subject: Space Science
subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Pharmacology
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Plant Biology

description: Additional file 45. Identification of linoleic acid (Cas 60-33-3, C18H32O2, M.W. 280.4).
TECHNOLOGY DEVELOPMENT FOR OBTAINING MAGNESIUM SALTS FROM LOCAL LAKE RAPAS
Creators: name: Abduxamidov, Abdulsamad
Publisher: name: Zenodo
Year: 2025

description: This article discusses the development of technology for extracting magnesium salts from local lakes in Uzbekistan. The significance of magnesium salts in industry, production technologies, and ecological aspects are examined. Additionally, the economic efficiency and environmental benefits of this technology are discussed.
Additional file 1 of “We wish we had the option”: a qualitative study of women’s perspectives and experiences with contraception in a provincial prison in Ontario, Canada
Creators: name: Jones, Reilly
name: Lemberg-Pelly, Sasha
name: Dineley, Brigid
name: Jurgutis, Jessica
name: Kouyoumdjian, Fiona G
name: Liauw, Jessica
Publisher: name: figshare
Year: 2024
Subjects: Cell Biology
Biotechnology
Environmental Sciences not elsewhere classified
Science Policy

description: Supplementary Material 1
Additional file 15 of Database-aided UHPLC-Q-orbitrap MS/MS strategy putatively identifies 52 compounds from Wushicha Granule to propose anti-counterfeiting quality-markers for pharmacopoeia
Creators: name: Li, Xican
name: Chen, Shaoman
name: Zeng, Jingyuan
name: Cai, Rongxin
name: Liang, Yilan
name: Chen, Chuanbin
name: Chen, Ban
name: Li, Chunhou
Publisher: name: figshare
Year: 2024
Subjects: subject: Biochemistry
subject: Space Science
subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Pharmacology
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Plant Biology

description: Additional file 15. Identification of Scoparone (Cas 120-08-1, C11H10O4 M.W.206.19).
USER ATTRIBUTION IN DIGITAL FORENSICS THROUGH MODELING KEYSTROKE AND MOUSE USAGE DATA USING XGBOOST
Creators: name: Gupta, Shruti
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Human-computer interaction
System and network security

description: The increase in the use of digital devices, has vastly increased the amount of data used and consequently, has increased the availability and relevance of digital evidence. Typically, digital evidence helps to establish the identity of an offender by identifying the username or the user account logged into the device at the time of offense. Investigating officers need to establish the link between that user and an actual person. This is difficult in the case of computers that are shared or compromised. Also, the increasing amount of data in digital investigations necessitates the use of advanced data analysis approaches like machine learning, while keeping pace with the constantly evolving techniques. It also requires reporting on known error rates for these advanced techniques. There have been several research studies exploring the use of behavioral biometrics to support this user attribution in digital forensics. However, the use of the state-of-the-art XGBoost algorithm, hasn’t been explored yet. This study builds on previously conducted research by modeling user interaction using the XGBoost algorithm, based on features related to keystroke and mouse usage, and verifying the performance for user attribution. With an F1 score and Area Under the Receiver Operating Curve (AUROC) of .95, the algorithm successfully attributes the user event to the right user. The XGBoost model also outperforms other classifiers based on algorithms such as Support Vector Machines (SVM), Boosted SVM and Random Forest.
sj-docx-1-mcr-10.1177_10775587211050189 – Supplemental material for Health Care Use and Outcomes in Assisted Living Communities: Race, Ethnicity, and Dual Eligibility
Creators: name: Temkin-Greener, Helena
name: Mao, Yunjiao
name: McGarry, Brian
name: Zimmerman, Sheryl
name: Li, Yue
Publisher: name: SAGE Journals
Year: 2021
Subjects: Public Health and Health Services not elsewhere classified
Sociological Methodology and Research Methods

description: Supplemental material, sj-docx-1-mcr-10.1177_10775587211050189 for Health Care Use and Outcomes in Assisted Living Communities: Race, Ethnicity, and Dual Eligibility by Helena Temkin-Greener, Yunjiao Mao, Brian McGarry, Sheryl Zimmerman and Yue Li in Medical Care Research and Review
Infrared Intersubband Transitions in Non-Polar III-Nitrides
Creators: name: Nguyen, Trang
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Condensed matter physics not elsewhere classified

description: Infrared intersubband absorption of III-nitride materials has been studied rigorously due to its broad potential applications into optoelectronic devices. III-nitrides have advantages of large conduction band offset, large longitudinal-optical phonon energy, and fast intersubband relaxation time. These special characteristics make nitrides promising materials for intersubband devices in the near-infrared range. However, the existence of challenges from these materials delays the progress towards the realization of high performance nitride intersubband devices. In this document, we discuss the challenges of III-nitrides and our efforts towards high intersubband transitions strength of different nitrides, in particular non-polar m-plane AlGaN/GaN, non-polar m-plane near strain-balanced (In)AlGaN/InGaN, and polar lattice-matched InAlN/GaN. Samples are characterized by multiple methods including atomic force microscopy, high-resolution x-ray diffraction, high-resolution (scanning) transmission electron microscopy, and Fourier transform infrared spectroscopy. Polar c-plane AlGaN/GaN exhibits good agreement between experimental and predicted results for the intersubband transition energy. However, the lattice strain between layers caused by the lattice mismatch between materials leads to a large number of defects, affecting the vertical transport and resulting in low-quality devices. Lattice-matched InAlN/GaN was suggested as an alternative to eliminate this lattice strain, thus providing a better quality material for devices. We discuss the challenges of growing homogeneous InAlN alloys that persist after exploring a wide range of growth conditions. Additionally, the non-polar mplane AlGaN/GaN is also being investigated. Low Al-composition m-plane AlGaN/GaN experimental intersubband absorption shows good agreement with the theoretical results. As the Al composition exceeds 60%, however, the m-plane AlGaN alloy becomes kinetically unstable during plasma-assisted molecular beam epitaxy growth, resulting in unique nanostructures that affect the intersubband transition energy and linewidth. For the first time, we reported the ISBA energy of near strain-balanced non-polar m-plane (In)AlGaN/InGaN heterostructures in the mid-infrared range with narrow linewidths comparable to tdth-half-max published in the literature for non-polar m-plane AlGaN/GaN superlattices. Additionally, we propose polar near lattice-matched Sc0.15Al0.85N/GaN as an alternative to c-plane lattice-matched InAlN/GaN.
Aromatase inhibitory activity of 1,4-naphthoquinone derivatives and QSAR study
Creators: name: Prachayasittikul, Veda
name: Pingaew, Ratchanok
name: Worachartcheewan, Apilak
name: Sitthimonchai, Somkid
name: Nantasenamat, Chanin
name: Prachayasittikul, Supaluk
name: Ruchirawat, Somsak
name: Prachayasittikul, Virapong
Publisher: name: IfADo - Leibniz Research Centre for Working Environment and Human Factors, Dortmund
Year: 2017
Subjects: 1,4-naphthoquinones
aromatase inhibitory activity
structural modification
computer-aided drug design
anti-cancer agents

description: A series of 2-amino(chloro)-3-chloro-1,4-naphthoquinone derivatives (1-11) were investigated for their aromatase inhibitory activities. 1,4-Naphthoquinones 1 and 4 were found to be the most potent compounds affording IC50 values 5.2 times lower than the reference drug, ketoconazole. A quantitative structure-activity relationship (QSAR) model provided good predictive performance (R2CV = 0.9783 and RMSECV = 0.0748) and indicated mass (Mor04m and H8m), electronegativity (Mor08e), van der Waals volume (G1v) and structural information content index (SIC2) descriptors as key descriptors governing the activity. To investigate the effects of structural modifications on aromatase inhibitory activity, the model was employed to predict the activities of an additional set of 39 structurally modified compounds constructed in silico. The prediction suggested that the 2,3-disubstitution of 1,4-naphthoquinone ring with halogen atoms (i.e., Br, I and F) is the most effective modification for potent activity (1a, 1b and 1c). Importantly, compound 1b was predicted to be more potent than its parent compound 1 (11.90-fold) and the reference drug, letrozole (1.03-fold). The study suggests the 1,4-naphthoquinone derivatives as promising compounds to be further developed as a novel class of aromatase inhibitors.
description: EXCLI Journal; 16:Doc714; ISSN 1611-2156
The Path to Advancement: The Experiences of Women Educational Leaders’ Movement into Superintendency
Creators: name: Moore, Pamela S
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Educational administration, management and leadership

description: The purpose of this qualitative study was to describe and understand the experiences of superintendent-certified women educators who reside in Indiana and are seeking the position of superintendent. Using a qualitative descriptive design [QDD] and open-ended, in-depth interviewing, I attempted to understand and describe the absence of women superintendents leading Indiana’s public schools. This study allowed me to immerse myself in the lived experiences of current superintendent-certified women educators with the goal of understanding what their job search and leadership experiences meant to them and identify common themes that emerged. The conceptual framework of my qualitative study was based on the ideas that women’s pathways to the superintendency are more complex than men’s and are influenced by both internal and external factors. Four women who aspire to be a superintendent, reside in the state of Indiana, and hold an educator’s license with the content area of District Administrator License: Superintendent were interviewed. Qualitative data was collected through use of synchronous, online, audio and video recorded interviews. The analysis of participants’ responses caused five themes to emerge – geography, family or career, mentors, grooming, leadership is “male”/gender bias. The five themes supported the development of three assertions. As women educational leaders continue their path to advancement and pursue the superintendency, maintaining, and preferably improving, their work-life balance is a requirement. Where a superintendent’s position is located, and how the location of this position may impact perceptions of balancing both family and a career, impacts women educational leaders’ decision making. Women educational leaders’ movement into superintendency is greatly influenced by other educational leaders who are in positions above them.
sj-docx-1-jaf-10.1177_0148558X211051169 – Supplemental material for Fixing the Core, Earnings Management, and Sustainable Emergence From Financial Distress: Evidence From China’s Special Treatment System
Creators: name: Jing, Jiao
name: Leung, Kenneth
name: Ng, Jeffrey
name: Zhang, Janus Jian
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 150310 Organisation and Management Theory
subject: FOS: Economics and business

description: Supplemental material, sj-docx-1-jaf-10.1177_0148558X211051169 for Fixing the Core, Earnings Management, and Sustainable Emergence From Financial Distress: Evidence From China’s Special Treatment System by Jiao Jing, Kenneth Leung, Jeffrey Ng and Janus Jian Zhang in Journal of Accounting, Auditing & Finance
Additional file 18 of Database-aided UHPLC-Q-orbitrap MS/MS strategy putatively identifies 52 compounds from Wushicha Granule to propose anti-counterfeiting quality-markers for pharmacopoeia
Creators: name: Li, Xican
name: Chen, Shaoman
name: Zeng, Jingyuan
name: Cai, Rongxin
name: Liang, Yilan
name: Chen, Chuanbin
name: Chen, Ban
name: Li, Chunhou
Publisher: name: figshare
Year: 2024
Subjects: subject: Biochemistry
subject: Space Science
subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Pharmacology
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Plant Biology

description: Additional file 18. Identification of isoquercitrin (Cas 21637-25-2, C21H20O12, M.W. 464.38).
Additional file 20 of Database-aided UHPLC-Q-orbitrap MS/MS strategy putatively identifies 52 compounds from Wushicha Granule to propose anti-counterfeiting quality-markers for pharmacopoeia
Creators: name: Li, Xican
name: Chen, Shaoman
name: Zeng, Jingyuan
name: Cai, Rongxin
name: Liang, Yilan
name: Chen, Chuanbin
name: Chen, Ban
name: Li, Chunhou
Publisher: name: figshare
Year: 2024
Subjects: subject: Biochemistry
subject: Space Science
subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Pharmacology
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Plant Biology

description: Additional file 20. Identification of Naringin (Cas 10236-47-2, C27H32O14, M.W.580.53).
Dietary and Health Correlates of Sweetened Beverage Intake: Sources of Variability in WWEIA/NHANES
Creators: name: Bonanno, Gabrielle Riley
Publisher: name: Purdue University Graduate School
Year: 2022
Subjects: Psychophysiology
Educational psychology

description: Recent studies using data from the National Health and Nutrition Examination Survey (NHANES) have used inconsistent approaches to identify and categorize beverages, especially those containing low-calorie sweeteners (LCS), also referred to as low-calorie sweetened beverages (LCSB). Herein, we investigate the approaches used to identify and categorize LCSB in recent analyses of NHANES data. We reviewed published studies examining LCS consumption in relation to dietary and health outcomes and extracted the methods used to categorize LCS as reported by the authors of each study. We then examined the extent to which these approaches reliability identified LCSBs using the Internet Archive Wayback Machine to examine beverage ingredients lists across 3 NHANES cycles (2011-2016). None of the four general strategies appeared to include all LCSB while also excluding all beverages that did not contain LCS. In some cases, the type of sweetener in the beverage consumed could not be clearly determined; we found 9, 16, and 18 of such “mixed” beverage identifiers in 2011-12, 2013-14, and 2015-15, respectively. Then, to illustrate how heterogeneity in beverage categorization may impact the outcomes of published analyses, we compared results of a previously published analysis with outcomes when “mixed” beverages were grouped either all as LCSB or all as sugary beverages. Our results suggest that caution is warranted in design and interpretation of studies using NHANES data to examine dietary and health correlates of sweetened beverage intake.
Additional file 25 of Database-aided UHPLC-Q-orbitrap MS/MS strategy putatively identifies 52 compounds from Wushicha Granule to propose anti-counterfeiting quality-markers for pharmacopoeia
Creators: name: Li, Xican
name: Chen, Shaoman
name: Zeng, Jingyuan
name: Cai, Rongxin
name: Liang, Yilan
name: Chen, Chuanbin
name: Chen, Ban
name: Li, Chunhou
Publisher: name: figshare
Year: 2024
Subjects: subject: Biochemistry
subject: Space Science
subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Pharmacology
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Plant Biology

description: Additional file 25. Identification of Astragalin (Cas 480-10-4, C21H20O11, M.W. 448.38).
Additional file 2 of Effects of n-3 polyunsaturated fatty acid on metabolic status in women with polycystic ovary syndrome: a meta-analysis of randomized controlled trials
Creators: name: Zhou, Jie
name: Zuo, Wenting
name: Tan, Yong
name: Wang, Xudong
name: Zhu, Meihong
name: Zhang, Huili
Publisher: name: figshare
Year: 2024
Subjects: Biotechnology
Chemical Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Cancer

description: Additional file 2: Supplementary Figure.
IQTIDORLI KO'ZI OJIZ BOLALAR BILAN ISHLASH TEXNOLOGIYALARI
Creators: name: Baratov Muslimbek Alisher o'g'li ADPI Ijtimoiy-gumanitar fanlar kafedrasi stajor o'qituvchi, tadqiqotchi
Publisher: name: Zenodo
Year: 2024

description: Ushbu maqolada koʻzi ojiz bolalarning iqtidorini rivojlantirishga koʻmaklashish borasidagi fikr-mulohazalar berilgan.

Kalit soʻzlar: Koʻzi ojiz, iqtidor, intellekt, individual, texnologiya, pedagogika.
Orbellia Robineau-Desvoidy 1830
Creators: name: Zeng, Wei
name: Wei, Hongxia
name: Yang, Ding
Publisher: name: Zenodo
Year: 2025
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Diptera
Heleomyzidae
Orbellia

description: Orbellia Robineau-Desvoidy, 1830
Orbellia Robineau-Desvoidy, 1830.
Type species: Orbellia myopiformis Robineau-Desvoidy, 1830; designated by Coquillett, 1910 (subsequent designation).
Crymobia Loew, 1862.
Type species: Crymobia hiemalis Loew, 1862 (monotypy).
Anarostomoides Malloch, 1916.
Type species: Anarostomoides petersoni Malloch, 1916 (original designation).
Barbastoma Garrett, 1921.
Type species: Barbastoma barbatum Garrett, 1921 (original designation).
description: Published as part of Zeng, Wei, Wei, Hongxia & Yang, Ding, 2025, First record of the genus Orbellia (Diptera: Heleomyzidae) in China with descriptions of two new species, pp. 171-180 in Zootaxa 5632 (1) on page 172, DOI: 10.11646/zootaxa.5632.1.10, http://zenodo.org/record/15371356
Additional file 1 of Dysregulation of neuroprotective lipoxin pathway in astrocytes in response to cytokines and ocular hypertension​
Creators: name: Karnam, Shruthi
name: Maurya, Shubham
name: Ng, Elainna
name: Choudhary, Amodini
name: Thobani, Arzin
name: Flanagan, John G
name: Gronert, Karsten
Publisher: name: figshare
Year: 2024
Subjects: subject: Biochemistry
subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Neuroscience
subject: Physiology
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Computational Biology

description: Supplementary Material 1
NRFixer: Sentiment Based Model for Predicting the Fixability of Non-Reproducible Bugs
Creators: name: Goyal, Anjali
name: Sardana, Neetu
Publisher: name: Institute of Applied Informatics, Wrocław University of Technology, Wrocław
Year: 2017
Subjects: bug report
bug triaging
non-reproducible bugs
sentiment analysis
mining software repositories

description: e-Informatica Vol. XI, 2017; ISSN 1897-7979
sj-pdf-1-smm-10.1177_09622802211046388 - Supplemental material for Developing clinical prediction models when adhering to minimum sample size recommendations: The importance of quantifying bootstrap variability in tuning parameters and predictive performance
Creators: name: Martin, Glen P
name: Riley, Richard D
name: Collins, Gary S
name: Sperrin, Matthew
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences
subject: 111099 Nursing not elsewhere classified
subject: 160807 Sociological Methodology and Research Methods
subject: FOS: Sociology

description: Supplemental material, sj-pdf-1-smm-10.1177_09622802211046388 for Developing clinical prediction models when adhering to minimum sample size recommendations: The importance of quantifying bootstrap variability in tuning parameters and predictive performance by Glen P Martin, Richard D Riley, Gary S Collins and Matthew Sperrin in Statistical Methods in Medical Research
sj-docx-6-hpp-10.1177_15248399211046578 – Supplemental material for Collaborating With Student Parents as Participatory Researchers in a Qualitative Study
Creators: name: Rauh, Lauren
name: Manze, Meredith G.
name: Watnick, Dana
Publisher: name: SAGE Journals
Year: 2021
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences
subject: 111799 Public Health and Health Services not elsewhere classified
subject: Sociology
subject: FOS: Sociology

description: Supplemental material, sj-docx-6-hpp-10.1177_15248399211046578 for Collaborating With Student Parents as Participatory Researchers in a Qualitative Study by Lauren Rauh, Meredith G. Manze and Dana Watnick in Health Promotion Practice