cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Sciophila insolita Santos Abreu 1920
Creators: name: El Mouden, Mohamed Amin
name: Chandler, Peter J.
name: Saidoun, Imane
name: Driauach, Ouafaa
name: Belqat, Boutaïna
Publisher: name: Zenodo
Year: 2025
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Diptera
Mycetophilidae
Sciophila
Sciophila insolita

description: Sciophila insolita Santos Abreu, 1920
Material examined.
Morocco – Middle Atlas Region • 1 ♂; Gouffre Izora; 19/V/2022; K. Aattouch, M. El Ouahabi and M. A. El Mouden leg; UAE-FST MA 22/24214.
North African distribution.
New to Morocco and North Africa.
description: Published as part of El Mouden, Mohamed Amin, Chandler, Peter J., Saidoun, Imane, Driauach, Ouafaa & Belqat, Boutaïna, 2025, A new species of Docosia Winnertz, 1864 and new records of fungus gnats (Diptera, Bolitophilidae, Keroplatidae and Mycetophilidae) from North Africa, pp. 349-379 in ZooKeys 1233 on pages 349-379, DOI: 10.3897/zookeys.1233.130502
The structure of continuous rigid functions of two variables
Creators: name: Balka, Richárd
name: Elekes, Márton
Publisher: name: arXiv
Year: 2011
Subjects: subject: Classical Analysis and ODEs (math.CA)
subject: FOS: Mathematics
subject: Primary 26A99 Secondary 39B22, 39B52, 39B72, 51M99

description: A function $f:\RR^n \to \RR$ is called \emph{vertically rigid} if $graph(cf)$ is isometric to $graph (f)$ for all $c \neq 0$. We settled Janković's conjecture in a separate paper by showing that a continuous function $f:\RR \to \RR$ is vertically rigid if and only if it is of the form $a+bx$ or $a+be^{kx}$ ($a,b,k \in \RR$). Now we prove that a continuous function $f:\RR^2 \to \RR$ is vertically rigid if and only if after a suitable rotation around the z-axis $f(x,y)$ is of the form $a + bx + dy$, $a + s(y)e^{kx}$ or $a + be^{kx} + dy$ ($a,b,d,k \in \RR$, $k \neq 0$, $s : \RR \to \RR$ continuous). The problem remains open in higher dimensions.
Data-driven Approaches to Understand the Implications of Social Processes for Infectious Disease Risk
Creators: name: Naraharisetti, Ramya
Publisher: name: My University
Year: 2023
Subjects: subject: infectious disease
subject: social determinants of health
subject: COVID-19
subject: diarrheal disease
subject: disability
subject: Public Health
subject: Health Sciences

description: Generally, social determinants or social factors have been studied in the context of non-communicable diseases yet there is a critical need to elucidate the mechanisms behind social and environmental factors which affect communicable disease spread in different spatio-temporal and geographic contexts with the explicit purpose of informing policy, intervention and study design. Social determinants of health frameworks are useful for infectious diseases but lack the ability to translate said mechanisms onto processes that are specific to pathogen spread such as environmentally mediated, vector-borne and direct transmission, transmission cycles and exposure routes in a meaningful way. The focus of most transmission models which investigate social factors, have been within long-term infections and far fewer studies exist of social factors which drive acute infections such as influenza and enteric disease. Given the nature of health inequities within the SARS-CoV-2 pandemic recently, there has been a renewed call for social variables to be incorporated into the study of infectious disease to generate a coherent framework. What is lacking then is an overarching framework which can account for the unique ways social and environmental factors impact systems of pathogenic spread across long-term and acute infections. The overarching goal of my research is to elucidate the mechanisms behind social and environmental factors which affect pathogen spread in different spatio-temporal and geographic contexts to inform policy, intervention and study design to inform such a framework. Each aim within this thesis delves into the heterogeneity of social and environmental mechanisms over time and across space. The first paper emphasizes the role of changing social mechanisms over time to examine COVID-19 disparities. The second utilizes space as a dimension of variability and seeks to identify clusters of infectious disease outcomes across two time periods. The third adds more complexity and asks how social context and spatial context interact to increase infectious disease risk. Each of my papers also delves into the heterogeneity of social mechanisms across different geographic contexts. My second paper looks at social mechanisms at the marco level within the low-middle income country of India, my first paper looks at meso-level mechanisms in the state of Michigan within the United States and the last paper looks at micro-level mechanisms within six communities in the northwestern region of Ecuador. Overall, the exploration of social mechanisms over time, spatial mechanisms over time and the interaction of social and spatial mechanisms across different geographic contexts advances the concept of a socially and environmentally informed framework for infectious disease systems.
Mechanistic and Data-Adaptive Bayesian Methods for Scientific Inference
Creators: name: Hansen, Derek
Publisher: name: My University
Year: 2023
Subjects: subject: Bayesian methods
subject: Scientific machine learning
subject: Controlled feature selection
subject: Deep generative models
subject: Variational inference
subject: Statistics and Numeric Data
subject: Science

description: To draw rigorous conclusions from scientific data, Bayesian statistics requires computationally efficient methods for posterior inference as well as models that are both flexible and interpretable. This dissertation investigates the use of Bayesian methods in cases with both mechanistic and data-adaptive models. Mechanistic models are based on an interpretable understanding of the underlying process that generated the data, whereas data-adaptive models can adapt to unknown structure in the data but are often black-boxes that lack interpretability. In the first half of this dissertation, we develop two methods for efficient and scalable Bayesian inference for well-understood mechanistic models. In the second chapter, we present a mechanistic state-space model of Argo float trajectories called ArgoSSM. ArgoSSM utilizes a physical model of floats' movement and incorporates daily ice-cover images and potential vorticity information to infer the missing locations of Argo floats while under ice in the Southern ocean. Inference is achieved by developing an efficient proposal distribution within sequential Monte Carlo (SMC). In the third chapter, we present the Bayesian Light Source Separator (BLISS), a new probabilistic method for detecting, deblending, and cataloging stars and galaxies. BLISS utilizes a mechanistic model for the placement of stars and galaxies and a deep generative model of galaxy shapes. By training neural networks via Forward Amortized Variational Inference (FAVI) for posterior inference, BLISS can perform fully Bayesian inference on megapixel images in seconds and produce highly accurate catalogs. The latter two chapters of this dissertation describe methods that provide interpretable results while maintaining the flexibility of black-box data-adaptive models. In the fourth chapter, we propose the ProbConserv framework for incorporating physical constraints into a black-box probabilistic model. ProbConserv integrates the integral form of a conservation law into a Bayesian update, with a detailed analysis provided on learning the challenging Generalized Porous Medium Equation (GPME) family of partial differential equations. In the fifth chapter, we present FlowSelect, a new method for controlled feature selection from black-box predictive models. FlowSelect utilizes normalizing flows and a novel MCMC-based procedure to calculate p-values for each feature directly, demonstrating greater power and consistently controlling the false discovery rate (FDR) compared to competing knockoff-based approaches. FlowSelect also correctly infers genetic variants associated with specific soybean traits from GWAS data.
Checklist for the realization of participation-oriented research with people with profound and multiple disabilities (pimd)
Creators: name: Keeley, Caren
Publisher: name: Zenodo
Year: 2022

description: The present checklist for the realization of participation-oriented research with people with profound intellectual and multiple disabilities (PIMD) is based on the draft “Indisputable elements in the design of participation-oriented research with people with profound intellectual and multiple disabilities” (unpublished manuscript) and on the paper “Sensitive Interpretation of Communication (SeKD)" (https://zenodo.org/record/6373109#.Yl02CdPP02w), which were created by students in the context of the M.A. Rehabilitation Sciences under the supervision of Dr. Caren Keeley and with the collaboration of Timo Dins at the University of Cologne. This checklist is currently under evaluation, and you are welcome to participate in this process. Feel free to send your feedback to ckeeley@uni-koeln.de.
Relativistic descriptions of final-state interactions in neutral-current neutrino-nucleus scattering at MiniBooNE kinematics
Creators: name: Meucci, Andrea
name: Giusti, Carlotta
name: Pacati, Franco Davide
Publisher: name: arXiv
Year: 2011
Subjects: subject: Nuclear Theory (nucl-th)
subject: High Energy Physics - Experiment (hep-ex)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: The analysis of the recent neutral-current neutrino-nucleus scattering cross sections measured by the MiniBooNE Collaboration requires relativistic theoretical descriptions also accounting for the role of final state interactions. In this work we evaluate differential cross sections with the relativistic distorted-wave impulse-approximation and with the relativistic Green's function model to investigate the sensitivity to final state interactions. The role of the strange-quark content of the nucleon form factors is also discussed.
description: 8 pages, 5 figures
ONE-TO-ONE IPAD TECHNOLOGY IN THE MIDDLE SCHOOL MATHEMATICS AND SCIENCE CLASSROOMS
Creators: name: Bixler, Sharon G.
Publisher: name: University of Kentucky
Year: 2016
Subjects: subject: Science and Mathematics Education

description: Science, technology, engineering, and mathematics (STEM) education has become an emphasized component of PreK-12 education in the United States. The US is struggling to produce enough science, mathematics, and technology experts to meet its national and global needs, and the mean scores of science and mathematics students are not meeting the expected levels desired by our leaders (Hossain & Robinson, 2011). In an effort to improve achievement scores in mathematics and science, school districts must consider many components that can contribute to the development of a classroom where students are engaged and growing academically. Computer technology (CT) for student use is a popular avenue for school districts to pursue in their goal to attain higher achievement.  The purpose of this study is to examine the use of iPads in a one-to-one setting, where every student has his own device 24/7, to determine the effects, if any, on academic achievement in the areas of mathematics and science. This comparison study used hierarchical linear modeling (HLM) to examine three middle schools in a private school district. Two of the schools have implemented a one-to-one iPad program with their sixth through eighth grades and the third school uses computers on limited occasions in the classroom and in a computer lab setting. The questions addressed were what effect, if any, do the implementation of a one-to-one iPad program and a teacher’s perception of his use of constructivist teaching strategies have on student academic achievement in the mathematics and science middle school classrooms.  The research showed that although the program helped promote the use of constructivist activities through the use of technology, the one-to-one iPad initiative had no effect on academic achievement in the middle school mathematics and science classrooms.
NOVEL SPOXAZOMICINS DERIVED FROM STREPTOMYCES SP. RM-14−6 ATTENUATE ETHANOL INDUCED CYTOTOXICITY IN VITRO
Creators: name: Saunders, Meredith A.
Publisher: name: University of Kentucky
Year: 2016
Subjects: subject: Chemicals and Drugs
subject: Pharmacy and Pharmaceutical Sciences
subject: Psychiatry and Psychology

description: An estimated 13.9% of Americans currently meet criteria for an alcohol use disorder. Ultimately, chronic alcohol use may result in neurological deficits, with up to 85% of alcoholics exhibiting signs of cognitive decline. However, biochemical and behavioral factors contributing to this decline have remained elusive. Our ongoing research program encompasses a multi-tiered screening of a natural product library and validation process to provide novel information about mechanisms underlying these deficits and to identify novel chemical scaffolds to be exploited in the development of pharmacological treatments for alcohol use disorders in a rodent organotypic hippocampal slice culture mode. Experiment 1 sought to establish a 48 h high throughput model for testing novel scaffolds against ethanol (EtOH) toxicity. Experiment 2 tested multiple natural product compounds for their ability to attenuate ethanol-induced cytotoxicity. Results from Experiment 1 revealed EtOH (100 mM) induced significant cytotoxicity at 48 h. Trolox (100 µM), a potent antioxidant, was found to reduce ethanol-induced cytotoxicity in this assay. Experiment 2 revealed two spoxazomicins (1, 1-1) demonstrated potent cytoprotective effects against ethanol toxicity. These findings highlight the potential applications of these novel scaffolds for use in the treatment of alcohol use disorder.
Additional file 2 of Ear and hearing care programs for First Nations children: a scoping review
Creators: name: Nash, Kai
name: Macniven, Rona
name: Clague, Liesa
name: Coates, Harvey
name: Fitzpatrick, Mark
name: Gunasekera, Hasantha
name: Gwynne, Kylie
name: Halvorsen, Luke
name: Harkus, Samantha
name: Holt, Leanne
name: Lumby, Noeleen
name: Neal, Katie
name: Orr, Neil
name: Pellicano, Elizabeth
name: Rambaldini, Boe
name: McMahon, Catherine
Publisher: name: figshare
Year: 2023
Subjects: subject: Medicine
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Science Policy
subject: 111714 Mental Health
subject: FOS: Health sciences

description: Additional file 2: Supplementary Table 2. Program core elements. *Aboriginal refers to Aboriginal and Torres Strait Islander peoples.
title: Энергоэффективность частотно регулируемого высокоскоростного двигателя мощностью P=272 кВт с многоуровневым преобразователем с ячейко-гнездовой структурой
title: бакалаврская работа
titleType: Subtitle
Creators: name: Пенкин, Иван
Publisher: name: Санкт-Петербургский политехнический университет Петра Великого
Year: 2016
Subjects: электропривод
преобразователи
ячейко-гнездовые структуры
electric drive
converter
h-bridge

description: Данная выпускная работа бакалавра посвящена сравнению энергоэффективности двух различных типов преобразователей частоты, которые применяются в современных высокоскоростных электроприводах. В работе рассматриваются принципы работы преобразователей частоты, а также описаны теоретические сведения, в основе которых лежит принцип частотного регулирования электропривода. В ходе сравнения были выявлены преимущества и недостатки применения преобразователя с ячейко-гнездовой структурой.
description: This bachelor's graduation work is devoted to a comparison of energy efficiency of two different types of frequency converters, which are applied in modern high-speed electric drives. This work deals with the principles of frequency converters, as well as the information described in theory, based on the principle of frequency control drive. During the comparison, advantages and disadvantages of the use of the converter with low voltage cells structure have been identified.
Developing Autonomic Properties for Distributed Pattern-Recognition Systems with ASSL: A Distributed MARF Case Study
Creators: name: Vassev, Emil
name: Mokhov, Serguei A.
Publisher: name: arXiv
Year: 2011
Subjects: subject: Distributed, Parallel, and Cluster Computing (cs.DC)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Software Engineering (cs.SE)
subject: FOS: Computer and information sciences

description: In this paper, we discuss our research towards developing special properties that introduce autonomic behavior in pattern-recognition systems. In our approach we use ASSL (Autonomic System Specification Language) to formally develop such properties for DMARF (Distributed Modular Audio Recognition Framework). These properties enhance DMARF with an autonomic middleware that manages the four stages of the framework's pattern-recognition pipeline. DMARF is a biologically inspired system employing pattern recognition, signal processing, and natural language processing helping us process audio, textual, or imagery data needed by a variety of scientific applications, e.g., biometric applications. In that context, the notion go autonomic DMARF (ADMARF) can be employed by autonomous and robotic systems that theoretically require less-to-none human intervention other than data collection for pattern analysis and observing the results. In this article, we explain the ASSL specification models for the autonomic properties of DMARF.
description: 28 pages; 16 figures; Submitted and accepted in 2010; to appear in "E. Vassev and S. A. Mokhov. Development and evaluation of autonomic properties for pattern-recognition systems with ASSL -- a distributed MARF case study. Transactions on Computational Science, Special Issue on Advances in Autonomic Computing: Formal Engineering Methods for Nature-Inspired Computing Systems, XV (LNCS7050)."
Statistical Modeling of Internet Traffic FlowLength and Flow Size
Creators: name: Shemelis Tadesse
Publisher: name: Zenodo
Year: 2019

description: The growth of internet traffic forces telecom service providers to invest in new infrastructure

and/or expanding the network to achieve the desired Quality of Service (QoS) and cope

up the network congestion. But several techniques available for granting QoS and network

congestion. The first step is to understand the network performance. Network performance

needs accurate traffic modeling that has the potential to improve desired QoS, allocating

the network resources (i.e. bandwidth). This thesis presents a statistical model of the internet

traffic applications by their random nature of flow-length and flow-size. Wireshark

network monitoring and analysis tool is used to collect internet traffic data from the ethio

telecom core switch and generating experimental internet traffic data in controlled environment.

The experimental data are used to train and test the machine learning model that

helps to identify the internet applications. Firstly, identifying internet traffic applications

using machine learning classification techniques. Secondly, statistical methods are used to

fit the Cumulative Distribution Function (CDF) and select the parameters that best fitted in

both flow-length and flow-size for identified applications. Finally, deliver statistical model

to each applications and corresponding parameters
Interlayer couplings and the coexistence of antiferromagnetic and d-wave pairing order in multilayer cuprates
Creators: name: Chen, Wei-Qiang
name: Gan, J. Y.
name: Rice, T. M.
name: Zhang, F. C.
Publisher: name: arXiv
Year: 2012
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: A more extended low density region of coexisting uniform antiferromagnetism and d-wave superconductivity has been reported in multilayer cuprates, when compared to single or bilayer cuprates. This coexistence could be due to the enhanced screening of random potential modulations in inner layers or to the interlayer Heisenberg and Josephson couplings. A theoretical analysis using a renormalized mean field theory, favors the former explanation. The potential for an improved determination of the antiferromagnetic and superconducting order parameters in an ideal single layer from zero field NMR and infrared Josephson plasma resonances in multilayer cuprates is discussed.
description: 6 pages, 2 figures
Systematic differences in simple stellar population model results: Application to the M31 globular-like cluster system
Creators: name: Fan, Z.
name: de Grijs, R.
Publisher: name: arXiv
Year: 2012
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: Simple stellar population (SSP) synthesis models are useful tools for studying the nature of unresolved star clusters in external galaxies. However, the plethora of currently available SSP models gives rise to significant and poorly documented systematic differences. Here we consider the outputs of the commonly used Bruzual & Charlot and GALEV models, as well as a recently updated SSP model suite which attempts to include the contributions of binary merger products in the form of blue straggler stars (BS-SSP). We rederive the ages, metallicities, extinction values and masses of 445 previously observed globular-like clusters in M31 based on chi-square minimisation of their spectral energy distributions with respect to these three different SSP models and adopting a Chabrier-like stellar initial mass function. A comparison between our new results and previous estimates of the same parameters shows that the Bruzual & Charlot models yield the youngest ages and lowest masses, while adoption of the BS-SSP models results in the oldest ages and highest mass estimates. Similarly, the GALEV SSP models produce the lowest metallicities, with the highest values resulting from the BS-SSP model suite. These trends are caused by intrinsic differences associated with the models, and are not significantly affected by the well-known age-metallicity degeneracy. Finally, we note that the mass function of the massive M31 star clusters is similar to that of the Milky Way's globular clusters, which implies that the two star cluster systems likely formed under similar environmental conditions.
description: 15 pages, 12 figures, 2 tables, accepted for publication in MNRAS
Additional file 1 of Examining ecosystem (dis-)services on liver fluke infection in rural Northeast Thailand
Creators: name: Wang, Yi-Chen
name: Law, Andrea
name: Namsanor, Jutamas
name: Sithithaworn, Paiboon
Publisher: name: figshare
Year: 2023
Subjects: subject: Evolutionary Biology
subject: FOS: Biological sciences
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Ecology
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Science Policy
subject: 110309 Infectious Diseases
subject: FOS: Health sciences
subject: 60506 Virology

description: Additional file 1: Table S1. Snail species composition (%) in the surrounding water bodies of BN and BT villages. Table S2. Potential influences of perceptual and behavioral factors on consumption habits of BN and BT villagers. Consumption frequency was based on all three raw fish dishes consumed. Odds ratio for the analysis of willingness to avoid consumption and O. viverrini (O.v.) infection status was included for the relation that was statistically significant. Table S3. Potential influences of reasons of consumption (comparing five individual reasons vs. two reasons of ecosystem services), and perceptual and behavioral factors on consumption frequencies of BN and BT villagers. Consumption frequency was based on higher risk raw fish dishes, koi pla and pla som. Table S4. Potential influences of perceptual and behavioral factors, and network indices of degree centrality and betweenness centrality on consumption habits of BN and BT villagers. Consumption frequency wasbased on all three raw fish dishes consumed. Table S5. Potential influences of ecosystem services, perceptual and behavioral factors, and network indices of degree centrality and betweenness centrality on consumption habits of BN and BT villagers. Consumption frequency was based on all three raw fish dishes consumed.
title: Cost Benefit Analysis
title: Applications and Future Opportunities
titleType: Subtitle
Creators: name: Gibson, Bryan
name: Wallace, Candice Y.
Publisher: name: Kentucky Transportation Center, University of Kentucky
Year: 2016
Subjects: subject: Transportation Engineering

description: Cost Benefit Analysis (CBA or Benefit Cost Analysis — BCA) is an evaluation tool that state transportation agencies can use to compare infrastructure project options across transportation modes and gauge if the discounted value of benefits exceed the costs. CBA lets policymakers compare alternative project proposals to a baseline scenario, or status quo case, under which no investments are made. CBA is used to select which proposal is the most sensible investment—ideally, the project that maximizes benefits while minimizing costs should be chosen. As the use of CBA to evaluate projects and grant applications (e.g., TIGER Discretionary Grants) continues to grow, state transportation agencies must gain knowledge of CBA methodologies, especially if they want to remain competitive for federal funding. This study documents historical trends in CBA from literature and past studies, provides background on how CBA’s are performed, and describes the purpose and basic function of CBAs. The researchers investigated CBA applications and programs that the Kentucky Transportation Cabinet (KYTC) could potentially use to prioritize projects and identify other investment opportunities. This report serves as a primer on the basic elements of CBA, describes what costs and benefits are typically incorporated into analysis, and gives an overview of the formulas that are used to derive costs and benefits. In the transportation context, most benefits are derived from travel time savings and crash reductions. Typical costs include construction and subsequent maintenance.Researchers developed a simple workbook application that KYTC personnel can use run a CBA. The workbook calculates present value of costs and benefits and makes both NPV and BCR available to the user.
Renormalization constants of local operators for Wilson type improved fermions
Creators: name: Alexandrou, C.
name: Constantinou, M.
name: Korzec, T.
name: Panagopoulos, H.
name: Stylianou, F.
Publisher: name: arXiv
Year: 2012
Subjects: subject: High Energy Physics - Lattice (hep-lat)
subject: FOS: Physical sciences

description: Perturbative and non-perturbative results are presented on the renormalization constants of the quark field and the vector, axial-vector, pseudoscalar, scalar and tensor currents. The perturbative computation, carried out at one-loop level and up to second order in the lattice spacing, is performed for a fermion action, which includes the clover term and the twisted mass parameter yielding results that are applicable for unimproved Wilson fermions, as well as for improved clover and twisted mass fermions. We consider ten variants of the Symanzik improved gauge action corresponding to ten different values of the plaquette coefficients. Non-perturbative results are obtained using the twisted mass Wilson fermion formulation employing two degenerate dynamical quarks and the tree-level Symanzik improved gluon action. The simulations are performed for pion masses in the range of 480 MeV to 260 MeV and at three values of the lattice spacing, a, corresponding to beta=3.9, 4.05, 4.20. For each renormalization factor computed non-perturbatively we subtract its perturbative O(a^2) terms so that we eliminate part of the cut-off artifacts. The renormalization constants are converted to MS-bar at a scale of mu=2 GeV. The perturbative results depend on a large number of parameters and are made easily accessible to the reader by including them in the distribution package of this paper, as a Mathematica input file.
description: 36 pages, 11 figures and 6 tables. The results are included in electronic form (Mathematica files)
Commercial Driver’s License (CDL) Workflow Study
Creators: name: Martin, Steven Andrew
name: Wallace, Candice Y.
name: Keathley, Valerie J.
name: Walton, Jennifer R.
Publisher: name: Kentucky Department of Transportation
Year: 2016
Subjects: subject: Transportation Engineering

description: Kentucky uses federally funded, time-limited (FFTL) employees to handle some of the administrative work necessary to meet federal compliance standards for commercial driver’s licenses (CDLs). The Federal Motor Carrier Safety Administration (FMCSA) has decided not to continue funding FFTLs for these purposes, meaning that states will have to find other ways to meet CDL program requirements and maintain compliance. Given the potential ramifications of losing federal transportation and enforcement funding due to lack of compliance with federal standards, it is imperative that state lawmakers act to ensure KYTC has the resources to carry out its mandated functions. The study delineates federal and state CDL requirements, current workflow processes, surveys practices in other states, reports on the status of CDL workflow automation and develops three alternative funding mechanisms to stabilize program workflow while developers gather requirements for web-based applications to increase workflow efficiency. It also recommends other changes that would benefit KYTC, particularly the staff responsible for CDL program administration and compliance.
Learning, Control, and Reduction for Markov Jump Systems
Creators: name: Du, Zhe
Publisher: name: My University
Year: 2023
Subjects: subject: Markov jump systems
subject: System identification
subject: Data-driven control
subject: Model reduction
subject: Non-asymptotic analysis
subject: Electrical Engineering
subject: Engineering

description: Many real-world phenomena or systems with temporally changing dynamics can be effectively characterized by time-varying models — typically ensembles of simple models (modes) among which the active mode switches over time. Coupling different modes through switching increases the model capacity so that more complex behaviors can be explained, but this meanwhile brings new challenges: one cannot simply study the entire model by looking at individual modes separately, and the coupling structures need to be factored in. Because of this, recent advances for simple time-invariant models such as data-driven methodologies and sharp finite-sample guarantees are yet to be generalized to time-varying models. An important class of time-varying models is given by the Markov jump linear systems (MJSs), where each MJS is made up of a collection of linear modes and a Markov chain modeling their switching. MJSs strike a good balance between describing complex temporal variations in dynamics and possessing simple solutions to many classical control problems. This dissertation focuses on MJSs and revisits classical problems including the identification, data-driven control, and model reduction for MJSs. With recent advances in machine learning, optimization, and statistics, this work seeks to address challenges incurred by the mode switching in MJSs and bring new perspectives to these problems. For an MJS with unknown dynamics, we propose an identification scheme to develop its model, which requires only a single data trajectory and is guaranteed to have near-optimal sample complexity. Then, by establishing novel perturbation analysis, two classical control problems, certainty equivalent control and adaptive control, are studied with focus on solving for the linear quadratic regulator (LQR) problems. For the latter, the proposed adaptive control method invokes our identification scheme and is guaranteed to achieve performance with sublinear regret. Sometimes, a designed or learned MJS may suffer from complexities incurred by the sheer number of modes. Using clustering techniques from unsupervised learning, we develop a model reduction scheme that constructs a reduced-mode MJS by grouping modes with similar dynamics, which provably and empirically approximates the original system.
Induced interactions in dilute atomic gases and liquid helium mixtures
Creators: name: Yu, Zhenhua
name: Pethick, C. J.
Publisher: name: arXiv
Year: 2012
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: FOS: Physical sciences

description: In dilute mixtures of two atomic gases, interactions between two minority atoms acquire a contribution due to interaction with the majority component. Using thermodynamic arguments, we derive expressions for this induced interaction for both fermions and bosons for arbitrary strength of the interaction between the two components. Implications of the work for the theory of dilute solutions of $^3$He in liquid $^4$He are discussed.
description: 7 pages, 1 figure, NORDITA-2012-35
2015 Safety Belt Usage Survey in Kentucky
Creators: name: Agent, Kenneth R.
name: Green, Eric R.
name: Fields, Michael A.
Publisher: name: Kentucky Transportation Center, University of Kentucky
Year: 2015
Subjects: subject: Transportation Engineering

description: The objective of the survey summarized in this report was to establish a statewide safety belt usage rate in Kentucky for 2015. This rate can be compared to those determined from previous surveys. The 2015 statewide survey documents the continued increase in usage associated with the change in the law to allow primary enforcement and related education and enforcement.
An Intermodal Network Model of Coal Distribution in the United States and Its Economic Implications for the Inland Waterway System
Creators: name: Blandford, Benjamin L.
name: Grossardt, Ted H.
name: Shouse, Michael
name: Ripy, John
Publisher: name: Kentucky Transportation Center, University of Kentucky
Year: 2016
Subjects: subject: Transportation Engineering

description: This paper describes a GIS-based intermodal network model for the shipment of coal in the United States. The purpose of this research was to investigate the role played by railways, waterways, and highways in the movement of coal from its source area to point of use, and to highlight the implications these movements have for the U.S. economy. The project team modeled coal movements across the U.S. intermodal transportation network using the Energy Information Administration’s 2010 data, which provided detailed origin, destination, primary mode, and volume information for coal shipments. The model identifies the optimum routes for coal shipments based on a rate structure that accounts for the relative costs of shipping by each of the modes. The model, as well as available statistics, reveals the dominance of coal mined from the Powder River Basin. Compared to other sources—principally, the Appalachian Basin—coal from Mountain West is significantly less expensive, thus giving it a significant comparative advantage. Both Texas and Illinois, the two largest coal consumers by state, obtain virtually all of their coal from the West or from within state. Appalachian Basin coal serves domestic and export markets primarily in the East and Southeastern U.S. Only the Ohio River provides significant movement of Central Appalachian Basin coal to the west and south. Although this modeling relies on 2010 data, a look at more recent trends in coal prices and mining indicate that the Powder River Basin continues to dominate, while production and industry employment have steadily declined in the Appalachian Basin. The shift away from coal and toward natural gas as a primary energy source argues for the region’s coal extraction industries remaining in a depressed state, which could produce negative economic consequences for transportation industries. Carrier and port facilities will need to adopt a more diversified shipping portfolio to accommodate for these losses. It is possible that the loss of coal will open up opportunities for other commodity shipments on the inland waterways. This modeling demonstrates the potential for such integrated models to accommodate energy - related or similar data, and serves as a tool for freight planners in identifying energy transportation corridors of significance. It could potentially be used to analyze the movement of other commodities, which could let industry stakeholders identify new markets to tap into. Further, the model and analysis can help inform MAP-21 related efforts to develop a National Freight Network and National Freight Strategic Plan.
On the Ramsey-Turán numbers of graphs and hypergraphs
Creators: name: Balogh, József
name: Lenz, John
Publisher: name: arXiv
Year: 2011
Subjects: subject: Combinatorics (math.CO)
subject: FOS: Mathematics

description: Let t be an integer, f(n) a function, and H a graph. Define the t-Ramsey-Turán number of H, RT_t(n, H, f(n)), to be the maximum number of edges in an n-vertex, H-free graph G where f(n) is larger than the maximum number of vertices in a $K_t$-free induced subgraph of G. Erdős, Hajnal, Simonovits, Sós, and Szemerédi posed several open questions about RT_t(n,K_s,o(n)), among them finding the minimum s such that $RT_t(n,K_{t+s},o(n)) = Ω(n^2)$, where it is easy to see that $RT_t(n,K_{t+1},o(n)) = o(n^2)$. In this paper, we answer this question by proving that $RT_t(n,K_{t+2},o(n)) = Ω(n^2)$; our constructions also imply several results on the Ramsey-Turán numbers of hypergraphs.
description: 20 pages, 2 figures
Estimation of Average Daily Traffic on Local Roads in Kentucky
Creators: name: Souleyrette, Reginald R.
name: Howell, Brian K.
name: Green, Eric R.
name: Staats, William Nicholas
Publisher: name: Kentucky Transportation Center, University of Kentucky
Year: 2016
Subjects: subject: Transportation Engineering

description: Kentucky Transportation Cabinet (KYTC) officials use annual average daily traffic (AADT) to estimate intersection performance across the state maintained highway system. KYTC currently collects AADTs for state maintained roads but frequently lacks this information on local roads. A method is needed to estimate local road AADTs in a cost-effective and reasonable manner. Kentucky Transportation Center (KTC) researchers conducted a literature review on U.S. AADT models but found that none of them were suitable to Kentucky. Therefore, KTC developed an AADT model using non-linear regression to estimate AADTs on approaches to those intersections.  KTC developed a Poisson distributed, non-linear regression model to estimate AADT. This model divided the state into three regions encompassing all of the highway districts: West (Districts 1, 2, 3, and 4), North Central (Districts 5, 6, and 7), and East (Districts 8, 9, 10, 11, and 12). This partitioning accounted for geographic and socioeconomic variability across the state. Each regional model relied upon three independent variables: probe count, residential vehicle registration, and curve rating. HERE proprietary probe counts—indicative of vehicle movements—provide tracking visibility on a select portion of vehicles moving across Kentucky highways. Residential vehicle registrations can be used to estimate trip generation information. Finally, the curve rating partially indicates accessibility.  Model results were adjusted to KYTC daily vehicle miles traveled (DVMT) county control totals for local roads. Sensitivity analysis was conducted to examine the impact of model errors for use in intersection safety analysis. Results indicate that the estimates generated can be effectively used for safety assessment and countermeasure prioritization.
Sciophila parviareolata Santos Abreu 1920
Creators: name: El Mouden, Mohamed Amin
name: Chandler, Peter J.
name: Saidoun, Imane
name: Driauach, Ouafaa
name: Belqat, Boutaïna
Publisher: name: Zenodo
Year: 2025
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Insecta
Diptera
Mycetophilidae
Sciophila
Sciophila parviareolata

description: Sciophila parviareolata Santos Abreu, 1920
Material examined.
Morocco – Middle Atlas Region • 1 ♂; Grotte Bouslama; 19/V/2022; K. Aattouch, M. El Ouahabi and M. A. El Mouden leg; UAE-FST MA 22/24215 • 1 ♂; Vallée des oiseaux; 19/V/2022; K. Aattouch, M. El Ouahabi and M. A. El Mouden leg; UAE-FST MA 22/24216 • 1 ♂; Grotte Bouhayati; 20/V/2022; K. Aattouch, M. El Ouahabi and M. A. El Mouden leg; UAE-FST MA 22/24217.
North African distribution.
New to Morocco and North Africa.
description: Published as part of El Mouden, Mohamed Amin, Chandler, Peter J., Saidoun, Imane, Driauach, Ouafaa & Belqat, Boutaïna, 2025, A new species of Docosia Winnertz, 1864 and new records of fungus gnats (Diptera, Bolitophilidae, Keroplatidae and Mycetophilidae) from North Africa, pp. 349-379 in ZooKeys 1233 on pages 349-379, DOI: 10.3897/zookeys.1233.130502
Additional file 1 of “Quality teaches you how to use water. It doesn’t provide a water pump”: a qualitative study of context and mechanisms of action in an Ethiopian quality improvement program
Creators: name: Procureur, F
name: Estifanos, AS
name: Keraga, DW
name: Kiflie Alemayehu, AK
name: Hailemariam, NW
name: Schellenberg, J
name: Magge, H
name: Hill, Z
Publisher: name: figshare
Year: 2023
Subjects: subject: Space Science
subject: Medicine
subject: Cell Biology
subject: Physiology
subject: FOS: Biological sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Sociology
subject: FOS: Sociology
subject: 69999 Biological Sciences not elsewhere classified
subject: Science Policy

description: Supplementary Material 1
Fundamental Calibrators For Stellar Evolution Models: New Eclipsing Binaries In Young Clusters Identified By K2
Creators: name: David, Trevor
Publisher: name: Zenodo
Year: 2016
Subjects: binary stars, eclipsing binaries, star clusters

description: Double-lined eclipsing binaries serve as fundamental calibrators for stellar evolution models. Benchmark grade calibrators (with mass and radius uncertainties of ~3%) having component masses below 1 solar mass are rare, particularly at pre-main sequence stages. We present the discovery and characterization of new eclipsing binaries in young stellar clusters, all identified by K2. In the 5-10 Myr old Upper Scorpius region, the nearest OB association, we present the lowest mass stellar eclipsing binary to date, with both components close to the hydrogen burning limit. Also in Upper Scorpius, we present evidence for a hierarchical triple with an eclipsing pair of brown dwarfs, only the second eclipsing brown dwarf pair known to date. In the 110-125 Myr old Pleiades cluster, only one eclipsing binary was known prior to the K2 mission. We present three new Pleiades eclipsing binaries, all with system masses less than 1 solar mass. We use these systems to critically assess stellar evolution models at low masses and young ages. K2 data in hand has also revealed new eclipsing and transiting systems in the moderately older (600-800 Myr) Hyades and Praesepe clusters.
Analysis of Traffic Crash Data in Kentucky (2010-2014)
Creators: name: Green, Eric R.
name: Agent, Kenneth R.
name: Pigman, Jerry G.
name: Fields, Michael A.
Publisher: name: Kentucky Transportation Center, University of Kentucky
Year: 2015
Subjects: subject: Transportation Engineering

description: This report documents an analysis of traffic crash data in Kentucky for the years of 2010 through 2014. A primary objective of this study was to determine average crash statistics for Kentucky highways. Rates were calculated for various types of highways and for counties and cities. Difference criteria were used for exposure.
New rational extensions of solvable potentials with finite bound state spectrum
Creators: name: Grandati, Yves
Publisher: name: arXiv
Year: 2012
Subjects: subject: Mathematical Physics (math-ph)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Using the disconjugacy properties of the Schrödinger equation, it is possible to develop a new type of generalized SUSY QM partnership which allows to generate new solvable rational extensions for translationally shape invariant potentials having a finite bound state spectrum. For this we prolong the dispersion relation relating the energy to the quantum number out of the physical domain until a disconjugacy sector. The prolonged excited states Riccati-Schrödinger (RS) functions are used to build Darboux-Bäcklund transforms which give regular isospectral extensions of the initial potential. We give the spectra of these extensions in terms of new orthogonal polynomials and study their shape invariance properties.
Additional file 1 of Randomized controlled trial data for successful new drug application for rare diseases in the United States
Creators: name: Kubota, Yosuke
name: Narukawa, Mamoru
Publisher: name: figshare
Year: 2023
Subjects: subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Pharmacology
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Science Policy
subject: Hematology

description: Supplementary Material 1
Eigenvalue spectra of asymmetric random matrices for multi-component neural networks
Creators: name: Wei, Yi
Publisher: name: arXiv
Year: 2012
Subjects: subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: Quantitative Methods (q-bio.QM)
subject: FOS: Physical sciences
subject: FOS: Biological sciences

description: This paper focuses on large neural networks whose synaptic connectivity matrices are randomly chosen from certain random matrix ensembles. The dynamics of these networks can be characterized by the eigenvalue spectra of their connectivity matrices. In reality, neurons in a network do not necessarily behave in a similar way, but may belong to several different categories. The first study of the spectra of two-component neural networks was carried out by Rajan and Abbott. In their model, neurons are either 'excitatory' or 'inhibitory', and strengths of synapses from different types of neurons have Gaussian distributions with different means and variances. A surprising finding by Rajan and Abbott is that the eigenvalue spectra of these types of random synaptic matrices do not depend on the mean values of their elements. In this paper we prove that this is true even for a much more general type of random neural network, where there is a finite number of types of neurons, and their synaptic strengths have correlated distributions. Furthermore, using the diagrammatic techniques, we calculate the explicit formula for the spectra of synaptic matrices of multi-component neural networks.
title: Besondere Bestimmungen der Prüfungsordnung für den Bachelorstudiengang Lehramt an Grundschulen mit dem Lernbereich Sprachliche Grundbildung an der Universität Paderborn : vom 22. Juli 2016
Creators: name: Universität Paderborn
Publisher: name: UB-PAD - Paderborn University Library
Year: 2016
Subjects: subject: Sozialwissenschaften
subject: Bildung und Erziehung
subject: Hochschulbildung

description: Amtliche Mitteilungen / Universität Paderborn