cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
BAYESIAN ESTIMATION OF PARAMETERS AND RELIABILITY CHARACTERISTICS IN THE INVERSE GOMPERTZ DISTRIBUTION
Creators: name: Taiwo. M. Adegoke
name: Latifat A. Abimbola
name: Oladapo M. Oladoja
name: Oyindamola. R. Oyebanjo
name: K.O. Obisesan
Publisher: name: Reliability: Theory & Applications
Year: 2024
Subjects: Likelihood Function
Prior Distribution
Posterior Distribution
Bayes Estimates
Lindle y Appr oximation

description: In this study, we derive Bayes’ estimators for the unknown parameters of the Inverse Gompertz Distribution (IGD) using three alternative loss functions: the Squared Error Loss Function (SELF), the Entropy Loss Function (ELF), and the Linex Loss Function. Closed-form formulas for Bayes estimators are not possible when both parameters are unknown, hence Lindley’s approximation (L-Approximation) is used for computation. We examine the performance of these estimators using their simulated hazards and assess their effectiveness in parameter estimation. It was discovered that as the sample size increases, parameter estimations became more precise and accurate across all functions. However, ELF consistently has lower MSE values than SELF and LINEX, indicating better parameter estimation. This pattern was also seen in the estimation of the hazard function, where ELF regularly beat SELF and LINEX, implying more efficient parameter estimation overall.
A mass threshold in the number density of passive galaxies at z$\sim$2
Creators: name: Sommariva, V.
name: Fontana, A.
name: Lamastra, A.
name: Santini, P.
name: Dunlop, J. S.
name: Nonino, M.
name: Castellano, M.
name: Ferguson, H.
name: McLure, R. J.
name: Galametz, A.
name: Giavalisco, M.
name: Grazian, A.
name: Lu, Y.
name: Menci, N.
name: Merson, A.
name: Paris, D.
name: Pentericci, L.
name: Somerville, R.
name: Targett, T.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: The process that quenched star formation in galaxies at intermediate and high redshift is still the subject of considerable debate. One way to investigate this puzzling issue is to study the number density of quiescent galaxies at z~2, and its dependence on mass. Here we present the results of a new study based on very deep Ks-band imaging (with the HAWK-I instrument on the VLT) of two HST CANDELS fields (the UKIDSS Ultra-deep survey (UDS) field and GOODS-South). The new HAWK-I data (taken as part of the HUGS VLT Large Program) reach detection limits of Ks>26 (AB mag). We select a sample of passively-evolving galaxies in the redshift range 1.422 is real. This has enabled us to establish unambiguously that the number counts of quiescent galaxies at z~2 flatten and slightly decline at magnitudes fainter than Ks~22(AB mag.). We show that this trend corresponds to a stellar mass threshold $M_*10^{10.8}\,{\rm M_{\odot}}$ below which the mechanism that halts the star formation in high-redshift galaxies seems to be inefficient. Finally we compare the observed pBzK number counts with those of quiescent galaxies extracted from four different semi-analytic models. We find that none of the models provides a statistically acceptable description of the number density of quiescent galaxies at these redshifts. We conclude that the mass function of quiescent galaxies as a function of redshift continues to present a key and demanding challenge for proposed models of galaxy formation and evolution.
description: Accepted for publication on Astronomy and Astrophysics
MET Is Required for the Maximal Action of 20-Hydroxyecdysone during Bombyx Metamorphosis
Creators: name: Cao, Yang
name: Sheng, Zhentao
name: He, Qianyu
name: Gilbert, Lawrence I.
name: Guan, Jingmin
name: Li, Sheng
name: Liu, Shumin
name: Wang, Jian
name: Guo, Enen
name: Shi, Mingan
name: Li, Kang
name: Tian, Ling
name: Peng, Qin
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2012

description: Little is known about how the putative juvenile hormone (JH) receptor, the bHLH-PAS transcription factor MET, is involved in 20-hydroxyecdysone (20E; the molting hormone) action. Here we report that two MET proteins found in the silkworm, Bombyx mori, participate in 20E signal transduction. Met is 20E responsive and its expression peaks during molting and pupation, when the 20E titer is high. As found with results from RNAi knockdown of EcR-USP (the ecdysone receptor genes), RNAi knockdown of Met at the early wandering stage disrupts the 20E-triggered transcriptional cascade, preventing tissue remodeling (including autophagy, apoptosis and destruction of larval tissues and generation of adult structures) and causing lethality during the larval-pupal transition. MET physically interacts with EcR-USP. Moreover, MET, EcR-USP and the 20E-response element (EcRE) form a protein-DNA complex, implying that MET might modulate 20E-induced gene transcription by interacting with EcR-USP. In conclusion, the 20E induction of MET is required for the maximal action of 20E during Bombyx metamorphosis.
Experimental and numerical studies of circular precast concrete slender columns with intermediate connection filled with high-performance concrete
Creators: name: Hamoda, Ahmed A
name: Ahmed, Mizan
name: Abadel, Aref A
name: Ghalla, Mohamd
name: Patel, Vipulkumar
name: Liang, Qing Quan
Publisher: name: La Trobe
Year: 2023
Subjects: classificationCode: 4016
subject: Materials engineering
subject: FOS: Materials engineering
classificationCode: 4005
subject: Civil engineering
subject: FOS: Civil engineering

description: Precast concrete (PC) slender columns with intermediate connections are often used in building construction. However, no studies have been performed on the behavior of PC slender columns with intermediate connections filled with high-performance concrete namely engineering cementitious composites (ECC) and strain hardening cementitious composites (SHCC). This paper presents the testing and computer modeling of axially loaded PC slender columns with splices filled with ECC and SHCC. Experimental program and results are presented on nineteen PC slender columns under concentric compressive load up to collapse. The test parameters include the longitudinal reinforcement (µ) ratio, and embedded length of steel bars/infilled concrete connection (Le). Three different reinforcement ratios of 0.027, 0.031, and 0.036 are considered. The embedded length of steel bars/intermediate concrete connection varies from 15D, 22.5D, and 30D where D is the bar diameter. Experimental results indicate that the use of longer steel bars/intermediate concrete connection and a higher reinforcement ratio can significantly enhance both the cracking and ultimate loads of PC slender columns with an intermediate concrete connection. The elastic stiffness of the PC slender columns with ECC and SHCC connection is found to increase by 150% and 93%, respectively when compared to the control specimen. Similarly, filling the splice of the PC columns with ECC and SHCC improves the energy absorption capacity by 107% and 138%, respectively. Nonlinear three-dimensional finite element models (FEMs) are developed accounting for the initial imperfection of the slender columns and their accuracy is validated by experimental results. It is shown that the FEM can provide an accurate simulation of the performance of PC columns with splice connection.
Fannie Mae's National Housing Survey Monthly Home Purchase Sentiment Index (HPSI) and Key indicators - December, 2015 (a subset of the complete monthly Fannie Mae National Housing Survey)
Creators: name: Foundation, Fannie Mae
Publisher: name: Roper Center for Public Opinion Research
Year: 2019

description: Economy on right/wrong track (1); personal financial situation (1); good/bad time to buy a house (1); good/bad time to sell a house (1); home price changes (3); rental price changes (3); mortgage interest rate changes (1); ability to obtain a home mortgage today (1); current homeownership status (1); renting vs. buying a home in the future (1); concern about unemployment (1); change in income (1).
Feature Selection for Classification with QAOA
Creators: name: Turati, Gloria
name: Dacrema, Maurizio Ferrari
name: Cremonesi, Paolo
Publisher: name: arXiv
Year: 2022
Subjects: subject: Information Retrieval (cs.IR)
subject: Machine Learning (cs.LG)
subject: Quantum Physics (quant-ph)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: Feature selection is of great importance in Machine Learning, where it can be used to reduce the dimensionality of classification, ranking and prediction problems. The removal of redundant and noisy features can improve both the accuracy and scalability of the trained models. However, feature selection is a computationally expensive task with a solution space that grows combinatorically. In this work, we consider in particular a quadratic feature selection problem that can be tackled with the Quantum Approximate Optimization Algorithm (QAOA), already employed in combinatorial optimization. First we represent the feature selection problem with the QUBO formulation, which is then mapped to an Ising spin Hamiltonian. Then we apply QAOA with the goal of finding the ground state of this Hamiltonian, which corresponds to the optimal selection of features. In our experiments, we consider seven different real-world datasets with dimensionality up to 21 and run QAOA on both a quantum simulator and, for small datasets, the 7-qubit IBM (ibm-perth) quantum computer. We use the set of selected features to train a classification model and evaluate its accuracy. Our analysis shows that it is possible to tackle the feature selection problem with QAOA and that currently available quantum devices can be used effectively. Future studies could test a wider range of classification models as well as improve the effectiveness of QAOA by exploring better performing optimizers for its classical step.
BEHAVIOR ANALYSIS PRESENTED SYSYEM WITH FAILURE AND MAINTENANCE RATE WITH USING DEEP LEARNING ALGORITHMS
Creators: name: Singla, Shakuntla
name: Rani, Shilpa
name: Diksha Mangla
name: Modibbo, Umar Muhammad
Publisher: name: Reliability: Theory & Applications
Year: 2024
Subjects: MTSF
RPGT
Deep learning
Adaptive Moment Estimation
Stochastic Gradient Descent
RMS prop

description: The paper discusses the behavioral analysis and dependability of a three-unit system utilizing RPGT for system parameters. Since all three units P, Q and R include parallel subcomponents, in the event that one of them fails, the system continues to operate although at a reduced capacity, but it is not profitable to run the system when two units are in reduced state hence considered failed state. The rates of failures are exponentially distributed, but the rates of repair are generalized, independent, and differ based on the operational unit. Fuzzy concept is used to declare/ determine whether the system is in failed/ reduced/ failed state. Graphs and tables are drawn to compare failure/repair effect on the parameters values. The system parameters are modelled using Regenerative Point graphical Technique (RPGT) and optimized using Deep learning methods such as Adam, SGD, RMS prop. The results of the optimization may be used to validate and challenge existing models and assumptions about the systems.
COSINE MARSHAL-OLKIN-G FAMILY OF DISTRIBUTION: PROPERTIES AND APPLICATIONS
Creators: name: Adepoju, Akeem Ajibola
name: Alhaji Modu Isa
name: Olalekan Akanji Bello
Publisher: name: Reliability: Theory & Applications
Year: 2024
Subjects: Cosine-G family
Marshall-Olkin-G family
Maximum Products of Spacing
Hazard function
Survival function

description: Trigonometric distributions have recently been emphasized due to it applicability and relevance for modeling different phenomena. This article contributes to the existing literature on trigonometric family by introducing and investigating new trigonometric family of distribution which is developed by compounding the cosine family of distribution with Marshall-olkin family of distribution to form a new Cosine Marshall-Olkin family of distribution (CMO). Graphical, numerical and analytical approach was explored to study the properties and applicability of the new CMO family of distribution. Special representations and important reliability properties and other statistical properties were defined. Simulation study was conducted in order to have an insight on the estimates of the three parameters model using maximum products of spacing (MPS). Emphases on the greater flexibility of the new CMO family of distribution beyond the cosine-G family and other top models of the Cosine related family was made through Weibull distribution. The results revealed the superiority of the Cosine Marshall-Olkin Weibull model (CMO-W) over others via two data sets.
Fannie Mae National Housing Survey Monthly Home Purchase Sentiment Index (HPSI) and Key Indicators- January, 2016 (a subset of the complete monthly Fannie Mae National Housing Survey)
Creators: name: Foundation, Fannie Mae
Publisher: name: Roper Center for Public Opinion Research
Year: 2019

description: Economy on right/wrong track (1); personal financial situation (1); good/bad time to buy a house (1); good/bad time to sell a house (1); home price changes (3); rental price changes (3); mortgage interest rate changes (1); ability to obtain a home mortgage today (1); current homeownership status (1); renting vs. buying a home in the future (1); concern about unemployment (1); change in income (1).
Nrf2-regulated antioxidant response ameliorating ionizing radiation-induced damages explored through in vitro and molecular dynamics simulations
Creators: name: G, Tamizh Selvan
name: Ashok, Avinash Karkada
name: J, Aditya Rao S.
name: Gollapalli, Pavan
name: R, Vishakh
name: N, Suchetha Kumari
name: Chaudhury, Nabo K.
Publisher: name: Taylor & Francis
Year: 2022
Subjects: subject: Biophysics
subject: Biochemistry
subject: Physical Sciences not elsewhere classified
subject: Medicine
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Biotechnology
subject: Chemical Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Cancer

description: This study aims to investigate the mechanism of natural antioxidant ferulic acid (FA) in reducing oxidative stress followed by its inhibitory effect on the Keap1-Nrf2 complex. FA was treated ex vivo with human blood for 30 min at 37 °C ± 1 °C and exposed to 1.5 Gy of γ- rays of 60Co (0.789 Gy/min) and allowed for repair for an hour at 37 °C ± 1 °C. FA's free radical scavenging capacity was measured using 2,7-dichlorofluorescein diacetate assay and cytogenetic assays. Further, a possible mechanism of protein-ligand interaction between FA and Keap1-Nrf2 pathway protein as a cellular drug target was studied using docking and molecular dynamics simulation. The 1.5 Gy of γ- rays exposed to pre-treated blood with FA showed a significant (p < 0.05) reduction in reactive oxygen species and DNA damage compared to the normal control blood group sample. The ligand-protein transient binding interaction in molecular dynamic simulation over a period of 100 ns was consistent and stable emphasizing complementary charge between the protein and ligand, speculating higher hydrophobic amino acid residues in the Keap1 active pocket. This might sway the Keap1 from interaction with Nrf2, and could lead to nuclear translocation of Nrf2 during radiation-induced oxidative stress. The present study emphasizes the radioprotective effect of FA against 1.5 Gy of γ- rays exposed to human blood and the application of in silico approaches helpful for the possible protective effect of FA. Communicated by Ramaswamy H. Sarma
Gravitational entropy of Kerr black holes
Creators: name: Pérez, Daniela
name: Romero, Gustavo E.
Publisher: name: arXiv
Year: 2014
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: Classical invariants of General Relativity can be used to approximate the entropy of the gravitational field. In this work, we study two proposed estimators based on scalars constructed out from the Weyl tensor, in Kerr spacetime. In order to evaluate Clifton, Ellis and Tavakol's proposal, we calculate the gravitational energy density, gravitational temperature, and gravitational entropy of the Kerr spacetime. We find that in the frame we consider, Clifton et al.'s estimator does not reproduce the Bekenstein-Hawking entropy of a Kerr black hole. The results are compared with previous estimates obtained by the authors using the Rudjord-Gr$\varnothing$n-Hervik approach. We conclude that the latter represents better the expected behaviour of the gravitational entropy of black holes.
description: 12 pages, 7 figures, accepted for publication in General Relativity and Gravitation
Survey of Media Exposure and Attitudes on International Issues
Creators: name: Istituto Per Le Ricerche Statistiche E L'Analisi Dell'Opinione Pubblica (Gallup) (DOXA)
Publisher: name: Roper Center for Public Opinion Research
Year: 2020

description: Daily newspapers; radio; news broadcasts; foreign news in daily newspapers; countries in Korean war; satellite countries of Russia; North American Treaty Organization; head of Chinese Nationalists; United Nations; what happened in countries in last few weeks; people recently in the news; American President Dwight Eisenhower American Air Force budget; spies recently executed in United States; United States Senate approval of admission of Communist China to the United Nations; Eisenhower ban books; Mutual Security Administration; men in the American Armed Forces; Secretary General of United States; McCarran-Walter Act; Adlai Stevenson; population of United States; American politics; visit United States; United States foreign relations; foreign news.
Metabolomic Profiling Reveals Mitochondrial-Derived Lipid Biomarkers That Drive Obesity-Associated Inflammation
Creators: name: Brauer, Heather A.
name: Troester, Melissa A.
name: Galanko, Joseph A.
name: O'Connell, Thomas M.
name: Kuan, Pei-Fen
name: Freemerman, Alex J.
name: Stevens, Robert D.
name: Zhang, Jimmy
name: Muehlbauer, Michael J.
name: Makowski, Liza
name: Ilkayeva, Olga R.
name: Sampey, Brante P.
name: Newgard, Christopher B.
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2012

description: Obesity has reached epidemic proportions worldwide. Several animal models of obesity exist, but studies are lacking that compare traditional lard-based high fat diets (HFD) to “Cafeteria diets" (CAF) consisting of nutrient poor human junk food. Our previous work demonstrated the rapid and severe obesogenic and inflammatory consequences of CAF compared to HFD including rapid weight gain, markers of Metabolic Syndrome, multi-tissue lipid accumulation, and dramatic inflammation. To identify potential mediators of CAF-induced obesity and Metabolic Syndrome, we used metabolomic analysis to profile serum, muscle, and white adipose from rats fed CAF, HFD, or standard control diets. Principle component analysis identified elevations in clusters of fatty acids and acylcarnitines. These increases in metabolites were associated with systemic mitochondrial dysfunction that paralleled weight gain, physiologic measures of Metabolic Syndrome, and tissue inflammation in CAF-fed rats. Spearman pairwise correlations between metabolites, physiologic, and histologic findings revealed strong correlations between elevated markers of inflammation in CAF-fed animals, measured as crown like structures in adipose, and specifically the pro-inflammatory saturated fatty acids and oxidation intermediates laurate and lauroyl carnitine. Treatment of bone marrow-derived macrophages with lauroyl carnitine polarized macrophages towards the M1 pro-inflammatory phenotype through downregulation of AMPK and secretion of pro-inflammatory cytokines. Results presented herein demonstrate that compared to a traditional HFD model, the CAF diet provides a robust model for diet-induced human obesity, which models Metabolic Syndrome-related mitochondrial dysfunction in serum, muscle, and adipose, along with pro-inflammatory metabolite alterations. These data also suggest that modifying the availability or metabolism of saturated fatty acids may limit the inflammation associated with obesity leading to Metabolic Syndrome.
Contact-Free Simultaneous Sensing of Human Heart Rate and Canine Breathing Rate for Animal Assisted Interactions
Creators: name: Holder, Timothy
name: Rahman, Mushfiqur
name: Summers, Emily
name: Roberts, David
name: Wong, Chau-Wai
name: Bozkurt, Alper
Publisher: name: arXiv
Year: 2022
Subjects: subject: Signal Processing (eess.SP)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Animal Assisted Interventions (AAIs) involve pleasant interactions between humans and animals and can potentially benefit both types of participants. Research in this field may help to uncover universal insights about cross-species bonding, dynamic affect detection, and the influence of environmental factors on dyadic interactions. However, experiments evaluating these outcomes are limited to methodologies that are qualitative, subjective, and cumbersome due to the ergonomic challenges related to attaching sensors to the body. Current approaches in AAIs also face challenges when translating beyond controlled clinical environments or research contexts. These also often neglect the measurements from the animal throughout the interaction. Here, we present our preliminary effort toward a contact-free approach to facilitate AAI assessment via the physiological sensing of humans and canines using consumer-grade cameras. This initial effort focuses on verifying the technological feasibility of remotely sensing the heart rate signal of the human subject and the breathing rate signal of the dog subject while they are interacting. Small amounts of motion such as patting and involuntary body shaking or movement can be tolerated with our custom designed vision-based algorithms. The experimental results show that the physiological measurements obtained by our algorithms were consistent with those provided by the standard reference devices. With further validation and expansion to other physiological parameters, the presented approach offers great promise for many scenarios from the AAI research space to veterinary, surgical, and clinical applications.
description: ACM International Conference on Animal-Computer Interaction, Newcastle upon Tyne, UK, 5-8 Dec 2022
Augmentation Schemes for Particle MCMC
Creators: name: Fearnhead, Paul
name: Meligkotsidou, Loukia
Publisher: name: arXiv
Year: 2014
Subjects: subject: Computation (stat.CO)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: Particle MCMC involves using a particle filter within an MCMC algorithm. For inference of a model which involves an unobserved stochastic process, the standard implementation uses the particle filter to propose new values for the stochastic process, and MCMC moves to propose new values for the parameters. We show how particle MCMC can be generalised beyond this. Our key idea is to introduce new latent variables. We then use the MCMC moves to update the latent variables, and the particle filter to propose new values for the parameters and stochastic process given the latent variables. A generic way of defining these latent variables is to model them as pseudo-observations of the parameters or of the stochastic process. By choosing the amount of information these latent variables have about the parameters and the stochastic process we can often improve the mixing of the particle MCMC algorithm by trading off the Monte Carlo error of the particle filter and the mixing of the MCMC moves. We show that using pseudo-observations within particle MCMC can improve its efficiency in certain scenarios: dealing with initialisation problems of the particle filter; speeding up the mixing of particle Gibbs when there is strong dependence between the parameters and the stochastic process; and enabling further MCMC steps to be used within the particle filter.
EFFECT OF ECONOMIC CRISIS ON FINANCIAL STABILITY OF FAMILIES IN ONDO WEST LOCAL GOVERNMENT AREA OF ONDO STATE (Journal of Teacher Education, JTE, 21(1): 221-35, 2021)
Creators: name: Oluwagbemileke, Feranmi Boluwatife
Publisher: name: figshare
Year: 2023
Subjects: Family and household studies
Socio-economic development

description: The present prevailing condition of economic recession has plunged many Nigerian families into untold hardship interms of meeting the various family needs. The situation has grown worse with time. Hence, this study examined the effect of economic crisis on the financial stability of families in Ondo West Local Government Area of Ondo State. One hundred and forty (140) families were randomly selected from seven (7) wards in Ondo West Local Government Area of Ondo State. A structured questionnaire was used for data collection and the data collected were analyzed descriptively (with simple percentage, mean and standard deviation) and inferentially (with chi-square). Major findings revealed that economic crisis results in a low standard of living among families Further findings revealed that economic crisis has impressionable effects on children’s education and mental health in the family and that the extents of the effects are not significantly different. This study recommends that families should create a budget that can be used to cut off excessive spending and set financial priorities in meeting the most essential need of the family.
E-BAYESIAN ESTIMATION FOR BATHTUB-SHAPED LIFETIME DISTRIBUTION BASED ON UPPER RECORD VALUES
Creators: name: , Sana
name: M. Faizan
Publisher: name: Reliability: Theory & Applications
Year: 2024
Subjects: Bathtub-shaped lifetime distribution
Bayes estimation
E-Bayes estimation
Upper Record values

description: In this research paper, we presents the expected Bayesian (E-Bayesian) estimation of bathtub-shaped lifetime (BSL) distribution for scale parameter based on upper record values (URV) using a conjugate prior distribution. Also, we are considered different prior distributions for the E-Bayesian estimators. Some properties of the E-Bayesian estimators are discussed. A simulation study is given to compare the performance of the E-Bayesian estimators with Bayesian estimator. we notice that the E-Bayesian estimators are perform better than the Bayesian estimators. Moreover, the performance of the Bayesian estimators and E-Bayesian estimators for Prior II are better than Prior I. Also, we observe that if we increase the sample size n then the estimators are showing lesser mean square error (MSE).
Studying Collective Human Decision Making and Creativity with Evolutionary Computation
Creators: name: Sayama, Hiroki
name: Dionne, Shelley D.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Neural and Evolutionary Computing (cs.NE)
subject: Multiagent Systems (cs.MA)
subject: Adaptation and Self-Organizing Systems (nlin.AO)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: We report a summary of our interdisciplinary research project "Evolutionary Perspective on Collective Decision Making" that was conducted through close collaboration between computational, organizational and social scientists at Binghamton University. We redefined collective human decision making and creativity as evolution of ecologies of ideas, where populations of ideas evolve via continual applications of evolutionary operators such as reproduction, recombination, mutation, selection, and migration of ideas, each conducted by participating humans. Based on this evolutionary perspective, we generated hypotheses about collective human decision making using agent-based computer simulations. The hypotheses were then tested through several experiments with real human subjects. Throughout this project, we utilized evolutionary computation (EC) in non-traditional ways---(1) as a theoretical framework for reinterpreting the dynamics of idea generation and selection, (2) as a computational simulation model of collective human decision making processes, and (3) as a research tool for collecting high-resolution experimental data of actual collaborative design and decision making from human subjects. We believe our work demonstrates untapped potential of EC for interdisciplinary research involving human and social dynamics.
description: 20 pages, 7 figures, 1 table (Supplemental materials not included)
ENHANCED METHODS UNDER EXPONENTIAL DISTRIBUTION CONCERN WITH EWMA AND DEWMA METHODS
Creators: name: V. Kaviyarasu
name: M. Inbarasi
Publisher: name: Reliability: Theory & Applications
Year: 2024
Subjects: Average run length
Exponential distribution
EWMA control Chart
Statistical Process Control

description: Statistical Process Control plays a crucial part in improving the quality and lowering the fluctuation in the production process environment. In SPC, the most popularly used methods are Shewhart control chart techniques and EWMA techniques which distinguish itself for its quick identification of minute process deviations, which makes it an essential tool for guaranteeing product. EWMA methods detect variances in quality of the product as well as services, measure process mean shifts with control charts, and track manufacturing process parameters to find deviations and make necessary adjustments. The exponential distribution was employed in this study because it may reflect vast and bulk production in everyday life. Exponentially distributed data, evaluate it alongside the EWMA function. This paper’s objective is to study the impact of EWMA & DEWMA parameters within the EWMA control chart’s performance using exponential distribution. Further, A few tables are provided with suitable illustrations that can be available with parameters with the help of these findings. The study also examines how the EWMA parameter affects the shape of the distribution.
The Fire of Saint Paul Outside the Walls: a very retrospective scientific investigation
Creators: name: Marsella, Stefano
name: Calzolari, Monica
Publisher: name: figshare
Year: 2023
Subjects: classificationCode: 430308
subject: European history (excl. British, classical Greek and Roman)

description: The document is the English translation of the paper presented on May 17th, 2023 to the Conference "città contemporanee e sicurezza tecnica" Rome, Istituto Superiore Antincendi.On the night of July 15, 1823, the papal basilica of St. Paul outside the walls of Rome was seriously damaged by a fire. There is an extensive bibliography on the history of the basilica up to the fire and on its reconstruction. On the contrary, the documents aimed at investigating the causes of the fire are limited in number and characterised by a historical approach. Furthermore, at the state of archival and bibliographic knowledge, there is no relevant text carried out according to the current criteria used for fire investigations. The research, starting from literature and archive documents, aims to investigate the causes of the fire, using the method of scientific investigation of the fire based on archival documents and the knowledge acquired in recent years through research on the dynamics of wood and vegetation fires.
National Opinion Research Center General Social Survey 1972
Creators: name: National Science Foundation (NSF)
name: Foundation, Russell Sage
Publisher: name: Roper Center for Public Opinion Research
Year: 2020

description: The current GSS cumulative data file for the National Opinion Research Center's General Social Surveys (GSS) is available from the Roper Center for Public Opinion Research. The General Social Survey is one of the nation's longest-running surveys of social, cultural and political indicators available today. The dataset encompasses more than four decades of national survey data in one comprehensive data file. The newly released cumulative data file contains individual response coding for over 60,000 respondents and over 6000 variables.
Microbial Activities and Dissolved Organic Matter Dynamics in Oil-Contaminated Surface Seawater from the Deepwater Horizon Oil Spill Site
Creators: name: Teske, Andreas
name: Rhodes, Benjamin
name: Dickson-Brown, Jennifer
name: Arnosti, Carol
name: McKay, Luke
name: Ziervogel, Kai
name: Osburn, Christopher L.
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2012

description: The Deepwater Horizon oil spill triggered a complex cascade of microbial responses that reshaped the dynamics of heterotrophic carbon degradation and the turnover of dissolved organic carbon (DOC) in oil contaminated waters. Our results from 21-day laboratory incubations in rotating glass bottles (roller bottles) demonstrate that microbial dynamics and carbon flux in oil-contaminated surface water sampled near the spill site two weeks after the onset of the blowout were greatly affected by activities of microbes associated with macroscopic oil aggregates. Roller bottles with oil-amended water showed rapid formation of oil aggregates that were similar in size and appearance compared to oil aggregates observed in surface waters near the spill site. Oil aggregates that formed in roller bottles were densely colonized by heterotrophic bacteria, exhibiting high rates of enzymatic activity (lipase hydrolysis) indicative of oil degradation. Ambient waters surrounding aggregates also showed enhanced microbial activities not directly associated with primary oil-degradation (β-glucosidase; peptidase), as well as a twofold increase in DOC. Concurrent changes in fluorescence properties of colored dissolved organic matter (CDOM) suggest an increase in oil-derived, aromatic hydrocarbons in the DOC pool. Thus our data indicate that oil aggregates mediate, by two distinct mechanisms, the transfer of hydrocarbons to the deep sea: a microbially-derived flux of oil-derived DOC from sinking oil aggregates into the ambient water column, and rapid sedimentation of the oil aggregates themselves, serving as vehicles for oily particulate matter as well as oil aggregate-associated microbial communities.
British Gallup Poll: CQ 124
Creators: name: Social Surveys (Gallup Poll) Limited
Publisher: name: Roper Center for Public Opinion Research
Year: 2019

description: Government approval rating (1); political party leaders (3); political party (3); 1987 election (1); personal financial situation (3); Labour vs Conservative party (1); Labour government (1); price increase (3); economic situation (3); unemployment (1); good time to buy (2); wages (1); inflation vs unemployment (1); best actor/actress (1); dance (2); television (2); UFOs (2); architecture (1); British culture (1).
Semantically-Informed Syntactic Machine Translation: A Tree-Grafting Approach
Creators: name: Baker, Kathryn
name: Bloodgood, Michael
name: Callison-Burch, Chris
name: Dorr, Bonnie J.
name: Filardo, Nathaniel W.
name: Levin, Lori
name: Miller, Scott
name: Piatko, Christine
Publisher: name: arXiv
Year: 2014
Subjects: subject: Computation and Language (cs.CL)
subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences
subject: I.2.7; I.2.6; I.5.1; I.5.4

description: We describe a unified and coherent syntactic framework for supporting a semantically-informed syntactic approach to statistical machine translation. Semantically enriched syntactic tags assigned to the target-language training texts improved translation quality. The resulting system significantly outperformed a linguistically naive baseline model (Hiero), and reached the highest scores yet reported on the NIST 2009 Urdu-English translation task. This finding supports the hypothesis (posed by many researchers in the MT community, e.g., in DARPA GALE) that both syntactic and semantic information are critical for improving translation quality---and further demonstrates that large gains can be achieved for low-resource languages with different word order than English.
description: 10 pages, 7 figures, 3 tables; appeared in Proceedings of the Ninth Conference of the Association for Machine Translation in the Americas (AMTA), October 2010
In-silico investigations on the anticancer activity of selected 2-aryloxazoline derivatives against breast cancer
Creators: name: Rani, Moly
name: Nath, Ashutosh
name: Kumer, Ajoy
Publisher: name: Taylor & Francis
Year: 2022
Subjects: Biophysics
Biochemistry
Medicine
Pharmacology
Biotechnology
Chemical Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
Cancer
Hematology

description: As the in-silico study has become an important tool to search for new drugs in the concurrent era with towering acceptance and accuracy, it has been employed in our research to unearth effective cancer drugs. Breast cancer has accounted for the most serious diseases for both men and women. Although few research outputs have been obtained on breast cancer, these are not an adequate amount to ascertain new drugs. Due to this gap, virtual screening, in-silico study, and computational techniques have been used to provide the ability to design and select anticancer compounds with desirable drug-like properties of breast cancer protein, which is commonly known as fatty acid synthase. A total of nine derivatives of 2-aryloxazoline compounds were chosen, and In-silico was studied to evaluate as a potential anticancer agent with the comparison of seven Food and Drug Administration(FDA) approved breast cancer drugs. These compounds were subjected to computational studies for quantum calculations, ADME and Lipinski analysis, as well as molecular docking and MD simulations against a variety of therapeutic targets involved in cell proliferation of fatty acid synthase (PDB ID:3TJM, 3ERT, 4OAR, 2J6M). An in-silico docking study reveals that ligands Hit-4, Hit-6, and Hit-8 had the highest docking scores at −10.3 kcal/mol, −10.3 kcal/mol, and −10.2 kcal/mol towards the protein of fatty acid synthase. The ligands had docking scores better than the standard anti-breast cancer drug gefitinib (−5.3 kcal/mole). Our findings demonstrate how crucial it is for pharmaceutical researchers to develop novel drugs for the treatment of breast cancer. Communicated by Ramaswamy H. Sarma
ENHANCING PROCESS CAPABILITY ANALYSIS FOR LOGNORMAL DATA UTILIZING BOX COX TRANSFORMATION AND GOODNESS OF FIT TESTS
Creators: name: J. Krishnan
name: R. Vijayaraghavan
Publisher: name: Reliability: Theory & Applications
Year: 2024
Subjects: Goodness of fit tests
Box-Cox Transformation
Asymmetric
MLE
Lognormal distribution
Six sigma

description: Process capability analysis is a valuable tool in quality assurance, but deviations from normal distribution necessitate adjustments to basic process capability indices. Process control literature offers solutions for non-normality, with data transformation being a common approach. The BoxCox transformation (BCT) is often used to normalize non-normal data, relying on maximum likelihood estimation (MLE) to determine the transformation parameter, lambda. Alternative methods exist for estimating the single transformation parameter lamda, employing goodness-of-fit tests instead of the MLE method. This study explores two expressions within the Box-Cox transformation (BCT), encompassing both optimal and rounded values of lambda. The primary goal is to identify an effective method for transforming non-normal data into a distribution closer to normality through goodness-of-fit tests, aiming to obtain accurate estimates for process capability analysis in alignment with six sigma standards. Furthermore, this study focuses on the influence of utilizing both optimal and rounded values of lambda when transforming non-normal data to normal, and how these lambda values impact the estimates of process capability analysis. The findings reveal that methods such as Shapiro-Wilk's (SW) and Artificial Covariate (AC) outperform the MLE method. Moreover, employing the optimal lambda value during data transformation leads to improved estimates of process capability. Data simulation and analysis were conducted using Minitab software and the R programming language.
Microbial Regulation of Glucose Metabolism and Cell-Cycle Progression in Mammalian Colonocytes
Creators: name: Bultman, Scott J.
name: Donohoe, Dallas R.
name: Wali, Aminah
name: Brylawski, Bruna P.
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2012

description: A prodigious number of microbes inhabit the human body, especially in the lumen of the gastrointestinal (GI) tract, yet our knowledge of how they regulate metabolic pathways within our cells is rather limited. To investigate the role of microbiota in host energy metabolism, we analyzed ATP levels and AMPK phosphorylation in tissues isolated from germfree and conventionally-raised C57BL/6 mice. These experiments demonstrated that microbiota are required for energy homeostasis in the proximal colon to a greater extent than other segments of the GI tract that also harbor high densities of bacteria. This tissue-specific effect is consistent with colonocytes utilizing bacterially-produced butyrate as their primary energy source, whereas most other cell types utilize glucose. However, it was surprising that glucose did not compensate for butyrate deficiency. We measured a 3.5-fold increase in glucose uptake in germfree colonocytes. However, 13C-glucose metabolic-flux experiments and biochemical assays demonstrated that they shifted their glucose metabolism away from mitochondrial oxidation/CO2 production and toward increased glycolysis/lactate production, which does not yield enough ATPs to compensate. The mechanism responsible for this metabolic shift is diminished pyruvate dehydrogenase (PDH) levels and activity. Consistent with perturbed PDH function, the addition of butyrate, but not glucose, to germfree colonocytes ex vivo stimulated oxidative metabolism. As a result of this energetic defect, germfree colonocytes exhibited a partial block in the G1-to-S-phase transition that was rescued by a butyrate-fortified diet. These data reveal a mechanism by which microbiota regulate glucose utilization to influence energy homeostasis and cell-cycle progression of mammalian host cells.
Attitudes of Consumers Regarding the Distribution and Pricing of Goods
Creators: name: Istituto Per Le Ricerche Statistiche E L'Analisi Dell'Opinione Pubblica (Gallup) (DOXA)
Publisher: name: Roper Center for Public Opinion Research
Year: 2020

description: If you could spend more, what would you buy other than food; food purchases; food purchases before and after the war; quality and price of different food purchases; difference between retail price and cost of production for food; trust in different types of shopkeepers; response to poor service; recently changed suppliers for food purchases; prefer to buy by ounces and litres or packed in bags or other storage; usefulness of buying packed goods; monthly costs for electricity; monthly living expenses; better for consumers to have many or few options; cooperative stores; ready-made clothes or clothes made to measure; clothing prices; what attracts passers-by to enter shops; what influences occasional buyers to become loyal customers; profession; appliances owned.
Micro-Scale Genomic DNA Copy Number Aberrations as Another Means of Mutagenesis in Breast Cancer
Creators: name: Perou, Charles M.
name: Chao, Hann-Hsiang
name: Zhao, Wei
name: He, Xiaping
name: Parker, Joel S.
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2012

description: In breast cancer, the basal-like subtype has high levels of genomic instability relative to other breast cancer subtypes with many basal-like-specific regions of aberration. There is evidence that this genomic instability extends to smaller scale genomic aberrations, as shown by a previously described micro-deletion event in the PTEN gene in the Basal-like SUM149 breast cancer cell line.
ALLBUS 1991 Survey
Creators: name: Data Provided By Zentralarchiv, Cologne,
Publisher: name: Roper Center for Public Opinion Research
Year: 2019

description: Socialism as an idea; satisfaction with the democracy in Germany; political system; country and state government; voting behavior; patriotism/nationalism; political interests and participation; tax cut; political asylum; ideology; private and public economic situation now and in the future; reunification; work; employment of mothers; social justice; welfare state; family; abortion; education goals; religion.
Searching for highly obscured AGN in the XMM-Newton serendipitous source catalog
Creators: name: Corral, A.
name: Georgantopoulos, I.
name: Watson, M. G.
name: Rosen, S. R.
name: Koulouridis, E.
name: Page, K. L.
name: Ranalli, P.
name: Lanzuisi, G.
name: Mountrichas, G.
name: Akylas, A.
name: Stewart, G. C.
name: Pye, J. P.
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: FOS: Physical sciences

description: The majority of active galactic nuclei (AGN) are obscured by large amounts of absorbing material that makes them invisible at many wavelengths. X-rays, given their penetrating power, provide the most secure way for finding these AGN. The XMM-Newton serendipitous source catalog is the largest catalog of X-ray sources ever produced; it contains about half a million detections. These sources are mostly AGN. We have derived X-ray spectral fits for very many 3XMM-DR4 sources ($\gtrsim$ 114 000 observations, corresponding to $\sim$ 77 000 unique sources), which contain more than 50 source photons per detector. Here, we use a subsample of $\simeq$ 1000 AGN in the footprint of the SDSS area (covering 120 deg$^2$) with available spectroscopic redshifts. We searched for highly obscured AGN by applying an automated selection technique based on X-ray spectral analysis that is capable of efficiently selecting AGN. The selection is based on the presence of either a) flat rest-frame spectra; b) flat observed spectra; c) an absorption turnover, indicative of a high rest-frame column density; or d) an Fe K$α$ line with an equivalent width > 500 eV. We found 81 highly obscured candidate sources. Subsequent detailed manual spectral fits revealed that 28 of them are heavily absorbed by column densities higher than 10$^{23}$ cm$^{-2}$. Of these 28 AGN, 15 are candidate Compton-thick AGN on the basis of either a high column density, consistent within the 90% confidence level with N$_{\rm H}$ $>$10$^{24}$ cm$^{-2}$, or a large equivalent width (>500 eV) of the Fe K$α$ line. Another six are associated with near-Compton-thick AGN with column densities of $\sim$ 5$\times$10$^{23}$ cm$^{-2}$. A combination of selection criteria a) and c) for low-quality spectra, and a) and d) for medium- to high-quality spectra, pinpoint highly absorbed AGN with an efficiency of 80%.
description: 18 pages, 10 figures, accepted for publication in A&A