cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
A NOVEL HYBRID DISTRIBUTED INNOVATION EGARCH MODEL FOR INVESTIGATING THE VOLATILITY OF THE STOCK MARKET
Creators: name: Mubarak, M.T.
name: Adubisi, O.D.
name: Abbas, U.F.
Publisher: name: Reliability: Theory & Applications
Year: 2024
Subjects: EGARCH
Innovations density
Maximum likelihood estimation
Simulation

description: When calculating risk and making decisions, investors and financial institutions heavily rely on the modeling of asset return volatility. For the exponentiated generalized autoregressive conditional heteroscedasticity (EGARCH) model, we created a unique innovation distribution in this study called the type-II-Topp-Leone-exponentiated-Gumbel (TIITLEGU) distribution. The key mathematical characteristics of the distribution were determined, and Monte Carlo experiments were used to estimate the parameters of the novel distribution using maximum likelihood estimation (MLE) procedure. The performance of the EGARCH (1,1) model with TIITLEGU distributed innovation density in relation to other innovation densities in terms of volatility modeling is examined through applications using two Nigerian shock returns. The results of the diagnostic tests indicated that, with the exception of the EGARCH (1,1)-Johnson (SU) reparametrized (JSU) innovation density, the fitted models have been sufficiently specified. The parameters for the EGARCH (1,1) model with different innovation densities are significant at various levels. Furthermore, in out-of-sample prediction, the fitted EGARCH (1,1)-TIITLEGU innovation density performed better than the EGARCH (1,1)existing innovation densities. As a result, it is decided that the EGARCH-TIITLEGU model is the most effective for analyzing Nigerian stock market volatility.
Learning Transcriptional Regulatory Relationships Using Sparse Graphical Models
Creators: name: Listgarten, Jennifer
name: Kadie, Carl
name: Huang, Shunping
name: Heckerman, David
name: Cheng, Wei
name: Wang, Wei
name: Zhang, Xiang
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2012

description: Understanding the organization and function of transcriptional regulatory networks by analyzing high-throughput gene expression profiles is a key problem in computational biology. The challenges in this work are 1) the lack of complete knowledge of the regulatory relationship between the regulators and the associated genes, 2) the potential for spurious associations due to confounding factors, and 3) the number of parameters to learn is usually larger than the number of available microarray experiments. We present a sparse (L1 regularized) graphical model to address these challenges. Our model incorporates known transcription factors and introduces hidden variables to represent possible unknown transcription and confounding factors. The expression level of a gene is modeled as a linear combination of the expression levels of known transcription factors and hidden factors. Using gene expression data covering 39,296 oligonucleotide probes from 1109 human liver samples, we demonstrate that our model better predicts out-of-sample data than a model with no hidden variables. We also show that some of the gene sets associated with hidden variables are strongly correlated with Gene Ontology categories. The software including source code is available at http://grnl1.codeplex.com.
Fannie Mae National Housing Survey Monthly Key Indicators-January, 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); change in income (1); household expenses (1).
The host galaxy and Fermi-LAT counterpart of HESS J1943+213
Creators: name: Peter, D.
name: Domainko, W.
name: Sanchez, D. A.
name: van der Wel, A.
name: Gässler, W.
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: The very-high energy (VHE, E > 100 GeV) gamma-ray sky shows diverse Galactic and extragalactic source populations. For some sources the astrophysical object class could not be identified so far. The nature (Galactic or extragalactic) of the VHE gamma-ray source HESS J1943+213 is explored. We specifically investigate the proposed near-infrared counterpart 2MASS J19435624+2118233 of HESS J1943+213 and investigate the implications of a physical association. We present K-band imaging from the 3.5 meter CAHA telescope of 2MASS J19435624+2118233. Furthermore, 5 years of Fermi-LAT data were analyzed to search for a high-energy (HE, 100 MeV
A PROBABILITY MODEL FOR SURVIVAL ANALYSIS OF CANCER PATIENTS
Creators: name: Mousumi Ray
name: Shanker, Rama
Publisher: name: Reliability: Theory & Applications
Year: 2024
Subjects: Survival analysis
compounding
hazard function
reversed hazard rate function
stress-strength parameter
maximum likelihood estimation
applications

description: It has been observed by statistician that to find a suitable model for the survival analysis of cancer patients is really challenging. The main reasons for that is the highly positively skewed nature of datasets. During recent decades several statistician tried to propose one parameter, two-parameter, three-parameter, four-parameter and five-parameter probability models but due to either theoretical or applied point of view the goodness of fit provided by these distributions are not very satisfactory. In this paper a compound probability model called gamma-Sujatha distribution, which is a compound of gamma and Sujatha distribution, has been proposed for the modeling of survival times of cancer patients. dolor Many important properties of the suggested distribution including its shape, moments (negative), hazard function, reversed hazard function, quantile function have been discussed. Method of maximum likelihood has been used to estimate its parameters. A simulation study has been conducted to know the consistency of maximum likelihood estimators. Two real datasets, one relating to acute bone cancer and the other relating to head and neck cancer, has been considered to examine the applicability, suitability and flexibility of the proposed distribution. The goodness of fit of the proposed distribution shows quite satisfactory fit over other considered distributions.
Relaxation dynamics in a long-range system with mixed Hamiltonian and non-Hamiltonian interactions
Creators: name: Campa, Alessandro
name: Gupta, Shamik
Publisher: name: arXiv
Year: 2022
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: Sometimes the dynamics of a physical system is described by non-Hamiltonian equations of motion, and additionally, the system is characterized by long-range interactions. A concrete example is that of particles interacting with light as encountered in free-electron laser and cold-atom experiments. In this work, we study the relaxation dynamics to non-Hamiltonian systems, more precisely, to systems with interactions of both Hamiltonian and non-Hamiltonian origin. Our model consists of $N$ globally-coupled particles moving on a circle of unit radius; the model is one-dimensional. We show that in the infinite-size limit, the dynamics, similarly to the Hamiltonian case, is described by the Vlasov equation. In the Hamiltonian case, the system eventually reaches an equilibrium state, even though one has to wait for a long time diverging with $N$ for this to happen. By contrast, in the non-Hamiltonian case, there is no equilibrium state that the system is expected to reach eventually. We characterize this state with its average magnetization. We find that the relaxation dynamics depends strongly on the relative weight of the Hamiltonian and non-Hamiltonian contributions to the interaction. When the non-Hamiltonian part is predominant, the magnetization attains a vanishing value, suggesting that the system does not sustain states with constant magnetization, either stationary or rotating. On the other hand, when the Hamiltonian part is predominant, the magnetization presents long-lived strong oscillations, for which we provide a heuristic explanation. Furthermore, we find that the finite-size corrections are much more pronounced than those in the Hamiltonian case; we justify this by showing that the Lenard-Balescu equation, which gives leading-order corrections to the Vlasov equation, does not vanish, contrary to what occurs in one-dimensional Hamiltonian long-range systems.
description: 47 pages, 14 figures
Fannie Mae National Housing Survey Monthly Key Indicators-February, 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); change in income (1); household expenses (1).
Leveraging Rapid Community-Based HIV Testing Campaigns for Non-Communicable Diseases in Rural Uganda
Creators: name: Kamya, Moses R.
name: Petersen, Maya L.
name: Kwarisiima, Dalsone
name: Havlir, Diane V.
name: Clark, Tamara D.
name: Thirumurthy, Harsha
name: Charlebois, Edwin D.
name: Geng, Elvin
name: Jain, Vivek
name: Chamie, Gabriel
name: Kabami, Jane
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2012

description: BackgroundThe high burden of undiagnosed HIV in sub-Saharan Africa limits treatment and prevention efforts. Community-based HIV testing campaigns can address this challenge and provide an untapped opportunity to identify non-communicable diseases (NCDs). We tested the feasibility and diagnostic yield of integrating NCD and communicable diseases into a rapid HIV testing and referral campaign for all residents of a rural Ugandan parish.MethodsA five-day, multi-disease campaign, offering diagnostic, preventive, treatment and referral services, was performed in May 2011. Services included point-of-care screening for HIV, malaria, TB, hypertension and diabetes. Finger-prick diagnostics eliminated the need for phlebotomy. HIV-infected adults met clinic staff and peer counselors on-site; those with CD4≤100/µL underwent intensive counseling and rapid referral for antiretroviral therapy (ART). Community participation, case-finding yield, and linkage to care three months post-campaign were analyzed.ResultsOf 6,300 residents, 2,323/3,150 (74%) adults and 2,020/3,150 (69%) children participated. An estimated 95% and 52% of adult female and male residents participated respectively. Adult HIV prevalence was 7.8%, with 46% of HIV-infected adults newly diagnosed. Thirty-nine percent of new HIV diagnoses linked to care. In a pilot subgroup with CD4≤100, 83% linked and started ART within 10 days. Malaria was identified in 10% of children, and hypertension and diabetes in 28% and 3.5% of adults screened, respectively. Sixty-five percent of hypertensives and 23% of diabetics were new diagnoses, of which 43% and 61% linked to care, respectively. Screening identified suspected TB in 87% of HIV-infected and 19% of HIV-uninfected adults; 52% percent of HIV-uninfected TB suspects linked to care.ConclusionsIn an integrated campaign engaging 74% of adult residents, we identified a high burden of undiagnosed HIV, hypertension and diabetes. Improving male attendance and optimizing linkage to care require new approaches. The campaign demonstrates the feasibility of integrating hypertension, diabetes and communicable diseases into HIV initiatives.
Hesperidin potentially interacts with the catalytic site of gamma-secretase and modifies notch sensitive genes and cancer stemness marker expression in colon cancer cells and colonosphere
Creators: name: Singh, Atul Kumar
name: Prajapati, Kumari Sunita
name: Kumar, Shashank
Publisher: name: Taylor & Francis
Year: 2022
Subjects: subject: Biophysics
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Pharmacology
subject: Chemical Sciences not elsewhere classified
subject: Developmental Biology
subject: Cancer
subject: Hematology

description: Gamma secretase (GS) produces Notch Intracellular Domain (NICD) by trans-membrane cleavage of notch receptor. The NICD enters the nucleus and activates the notch signaling pathway (NSP) by activating notch-responsive gene transcription. Hyperactivation of NSP is related to cancer aggressiveness, therapy resistance, and poor therapy outcome, and decreased overall disease-free survival in patients. Till date, none of the GS inhibitors (GSI) has been clinically approved due to their toxicity in patients. Thus in the present study, we explored the GS catalytic site binding potential of hesperidin (natural flavone glycoside) and its effect on notch responsive gene expression in HCT-116 cells. Molecular docking, MM-GBSA binding energy calculations, and molecular dynamics (MD) simulation experiments were performed to study the GS catalytic site binding potential of hesperidin. The compound showed better GS catalytic site binding potential at the active site compared to experimentally validated GSI, N-N-(3, 5-Difluorophenacetyl)-L-alanyl-S-phenylglycine t-butyl ester (DAPT) in molecular docking and MM-GBSA experiments. MD simulation results showed that hesperidin forms stable and energetically favorable complex with gamma secretase in comparison to standard inhibitor (DAPT)-GS complex. Further, in vitro experiments showed that hesperidin inhibited cell growth and sphere formation potential in HCT-116 cells. Further, hesperidin treatment altered notch responsive genes (Hes1, Hey1, and E-cad) and cancer stemness/self-renewal markers expression at transcription levels. In conclusion, hesperidin produces toxicity in HCT-116 cells and decreases colonosphere formation by inhibiting transcription of notch signaling pathway target genes and stemness markers. Communicated by Ramaswamy H. Sarma
AVAILABILITY ANALYSIS FOR IDENTIFICATION OF CRITICAL FACTOR OF A THERMAL POWER PLANT
Creators: name: Kumar, Pardeep
name: Vipin Kumar Sharma
name: Kumar, Dinesh
Publisher: name: Reliability: Theory & Applications
Year: 2024
Subjects: Thermal Power Plant
Performance Evaluation
Availability
Boiler
Tube Failure
Economizer

description: In the present stimulated business environment, power sector is playing a major role in the economic growth of India. During the last 20 years, the country had been facing a poor supply of energy and this supply-demand gap is increasing continuously. So, it is important for power plants to improve its power generation capacity drastically by reducing the failure rate. In the present paper, to analyze the causes of poor availability, thermal power plant has divided into six different systems and a system comprising of waste gases heating system has been considered. With the help of transition diagram, mathematical equations have been used to find out the availability. After analyzing, it was found that the value of availability is very low and boiler tube failure is one of the most critical factors for this low availability of system. Economizer zone has identified having long existence time of failures and frequency of occurrence is very high. So, minimizing the failure rate with the help of a proper maintenance schedule will result in decreasing the shutdown period of the plant and increasing the system availability.
Optical tracing of multiple charges in single-electron devices
Creators: name: Faez, Sanli
name: van der Molen, Sense Jan
name: Orrit, Michel
Publisher: name: arXiv
Year: 2014
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: Single molecules that exhibit narrow optical transitions at cryogenic temperatures can be used as local electric-field sensors. We derive the single charge sensitivity of aromatic organic dye molecules, based on first principles. Through numerical modeling, we demonstrate that by using currently available technologies it is possible to optically detect charging events in a granular network with a sensitivity better than $10^{-5}e/\sqrt{\textrm{Hz}}$ and track positions of multiple electrons, simultaneously, with nanometer spatial resolution. Our results pave the way for minimally-invasive optical inspection of electronic and spintronic nanodevices and building hybrid optoelectronic interfaces that function at both single-photon and single-electron levels.
description: 7 pages, submitted to Physical Review
Localized Intestinal Radiation and Liquid Diet Enhance Survival and Permit Evaluation of Long-Term Intestinal Responses to High Dose Radiation in Mice
Creators: name: Helmrath, Michael A.
name: Blue, Randall Eric
name: Henning, Susan J.
name: Lund, Pauline Kay
name: Van Landeghem, Laurianne
name: Dehmer, Jeffrey J.
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2012

description: BackgroundIn vivo studies of high dose radiation-induced crypt and intestinal stem cell (ISC) loss and subsequent regeneration are typically restricted to 5–8 days after radiation due to high mortality and immune failure. This study aimed to develop murine radiation models of complete crypt loss that permit longer-term studies of ISC and crypt regeneration, repair and normalization of the intestinal epithelium.MethodsIn C57Bl/6J mice, a predetermined small intestinal segment was exteriorized and exposed to 14Gy-radiation, while a lead shield protected the rest of the body from radiation. Sham controls had segment exteriorization but no radiation. Results were compared to C57Bl/6J mice given 14 Gy-abdominal radiation. Effects of elemental liquid diet feeding from the day prior to radiation until day 7 post-radiation were assessed in both models. Body weight and a custom-developed health score was assessed every day until day 21 post-radiation. Intestine was assessed histologically.ResultsAt day 3 after segment radiation, complete loss of crypts occurred in the targeted segment, while adjacent and remaining intestine in segment-radiated mice, and entire intestine of sham controls, showed no detectable epithelial damage. Liquid diet feeding was required for survival of mice after segment radiation. Liquid diet significantly improved survival, body weight recovery and normalization of intestinal epithelium after abdominal radiation. Mice given segment radiation combined with liquid diet feeding showed minimal body weight loss, increased food intake and enhanced health score.ConclusionsThe segment radiation method provides a useful model to study ISC/crypt loss and long-term crypt regeneration and epithelial repair, and may be valuable for future application to ISC transplantation or to genetic mutants that would not otherwise survive radiation doses that lead to complete crypt loss. Liquid diet is a simple intervention that improves survival and facilitates long-term studies of intestine in mice after high dose abdominal or segment radiation.
A TWO-PARAMETER ARADHANA DISTRIBUTION WITH APPLICATIONS TO RELIABILITY ENGINEERING
Creators: name: Shanker, Ravi
name: Nitesh Kumar Soni
Publisher: name: Reliability: Theory & Applications
Year: 2024
Subjects: Aradhana distribution
reliability properties
maximum likelihood estimation
applications

description: The search for a statistical distribution for modelling the reliability data from reliability engineering is challenging and the main cause is the stochastic nature of the data and the presence of skewness, kurtosis and over-dispersion. During recent decades several one and two-parameter statistical distributions have been proposed in statistics literature but all these distributions were unable to capture the nature of data due to the presence of skewness, kurtosis and over-dispersion in the data. In the present paper, two-parameter Aradhana distribution, which includes one parameter Aradhana distribution as a particular case, has been proposed. Using convex combination approach of deriving a new statistical distribution, a two-parameter Aradhana distribution has been proposed. Various interesting and useful statistical properties including survival function, hazard function, reverse hazard function, mean residual life function, stochastic ordering, deviation from mean and median, stress-strength reliability, Bonferroni and Lorenz curve and their indices have been discussed. The raw moments, central moments and descriptive measures based on moments of the proposed distribution have been obtained. The estimation of parameters using the maximum likelihood method has been explained. The simulation study has been presented to know the performance in terms of consistency of maximum likelihood estimators as the sample size increases and. The goodness of test of the proposed distributions has been tested using the values of Akaike Information criterion and Kolmogorov-Smirnov statistics. Finally, two examples of real lifetime datasets from reliability engineering have been presented to demonstrate its applications and the goodness of fit, and it shows a better fit over two-parameter generalized Aradhana distribution, quasi Aradhana distribution, new quasi Aradhana distribution, Power Aradhana distribution, weighted Aradhana distribution, gamma distribution and Weibull distribution. The flexibility, tractability and usefulness of the proposed distribution show that it is very much useful for modelling reliability data from reliability engineering. As this is a new distribution and it has wide applications, it will draw the attention of researchers in reliability engineering and biomedical sciences to search many more applications in the future.
Fannie Mae National Housing Survey Monthly Key Indicators-March, 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); change in income (1); household expenses (1).
AVAILABILITY AND PROFIT OPTIMIZATION OF CONTINUOUS CASTING SYSTEM OF THE STEEL INDUSTRY USING ARTIFICIAL NEURAL NETWORK TECHNIQUE
Creators: name: Bansal, Shikha
name: Tyagi, Sohan Lal
name: , Urvashi
Publisher: name: Reliability: Theory & Applications
Year: 2024
Subjects: Neural Network Approach
Neural weights
Profit
Availability

description: The main purpose of this study was to optimize the performance parameters of the casting process using a neural network approach. The casting process is molten or liquefied metal is poured into the mould cavity, after solidification it takes the near net shape of the cavity. The entire manufacturing process goes through six stations viz Pouring turret "ladle", "Tundish", "Mould", "Water spray chamber", "Support roller" and "Torch cutter". The Artificial Neural Network (ANN) technique is used in this paper to analyze the casting system’s availability, profitability, and state probability variation. An effort has been made to identify the most critical component of the system. The outcomes of the analysis will help the practitioners in deciding effective maintenance strategies.
BAYESIAN ANALYSIS OF EXTENDED MAXWELL-BOLTZMANN DISTRIBUTION USING SIMULATED AND REAL-LIFE DATA SETS
Creators: name: Nuzhat Ahad
name: S.P.Ahmad
name: J.A.Reshi
Publisher: name: Reliability: Theory & Applications
Year: 2024
Subjects: 2Kth Order Weighted Maxw ell-Boltzmann Distribution
Prior Distribution
Loss Function and Bayesian estimation

description: The objective of the study is to use Bayesian techniques to estimate the scale parameter of the 2Kth order weighted Maxwell-Boltzmann distribution(KWMBD). This involved using various prior assumptions such as extended Jeffrey’s, Hartigan’s , Inverse-gamma and Inverse-exponential, as well as different loss functions including squared error loss function (SELF), precautionary loss function (PLF), Al Bayyati’s loss function (ALBF), and Stein’s Loss Function (SLF).The maximum likelihood estimation (MLE) is also obtained. We compared the performances of MLE and bayesian estimation under each prior and its associated loss functions. And demonstrated the effectiveness of Bayesian estimation through simulation studies and analyzing real-life datasets.
Longitudinal Study of Mammary Epithelial and Fibroblast Co-Cultures Using Optical Coherence Tomography Reveals Morphological Hallmarks of Pre-Malignancy
Creators: name: Phillips, Zachary F.
name: Troester, Melissa A.
name: Chhetri, Raghav K.
name: Oldenburg, Amy L.
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2012

description: The human mammary gland is a complex and heterogeneous organ, where the interactions between mammary epithelial cells (MEC) and stromal fibroblasts are known to regulate normal biology and tumorigenesis. We aimed to longitudinally evaluate morphology and size of organoids in 3D co-cultures of normal (MCF10A) or pre-malignant (MCF10DCIS.com) MEC and hTERT-immortalized fibroblasts from reduction mammoplasty (RMF). This co-culture model, based on an isogenic panel of cell lines, can yield insights to understand breast cancer progression. However, 3D cultures pose challenges for quantitative assessment and imaging, especially when the goal is to measure the same organoid structures over time. Using optical coherence tomography (OCT) as a non-invasive method to longitudinally quantify morphological changes, we found that OCT provides excellent visualization of MEC-fibroblast co-cultures as they form ductal acini and remodel over time. Different concentrations of fibroblasts and MEC reflecting reported physiological ratios [1] were evaluated, and we found that larger, hollower, and more aspherical acini were formed only by pre-malignant MEC (MCF10DCIS.com) in the presence of fibroblasts, whereas in comparable conditions, normal MEC (MCF10A) acini remained smaller and less aspherical. The ratio of fibroblast to MEC was also influential in determining organoid phenotypes, with higher concentrations of fibroblasts producing more aspherical structures in MCF10DCIS.com. These findings suggest that stromal-epithelial interactions between fibroblasts and MEC can be modeled in vitro, with OCT imaging as a convenient means of assaying time dependent changes, with the potential for yielding important biological insights about the differences between benign and pre-malignant cells.
Fannie Mae National Housing Survey Monthly Key Indicators-April, 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); change in income (1); household expenses (1).
Fannie Mae National Housing Survey Monthly Key Indicators-May, 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); change in income (1); household expenses (1).
The Hawk-I UDS and GOODS Survey (HUGS): Survey design and deep K-band number counts
Creators: name: Fontana, A.
name: Dunlop, J. S.
name: Paris, D.
name: Targett, T. A.
name: Boutsia, K.
name: Castellano, M.
name: Galametz, A.
name: Grazian, A.
name: McLure, R.
name: Merlin, E.
name: Pentericci, L.
name: Wuyts, S.
name: Almaini, O.
name: Caputi, K.
name: Chary, R. R.
name: Cirasuolo, M.
name: Conselice, C. J.
name: Cooray, A.
name: Daddi, E.
name: Dickinson, M.
name: Faber, S. M.
name: Fazio, G.
name: Ferguson, H. C.
name: Giallongo, E.
name: Giavalisco, M.
name: Grogin, N. A.
name: Hathi, N.
name: Koekemoer, A. M.
name: Koo, D. C.
name: Lucas, R. A.
name: Nonino, M.
name: Rix, H. W.
name: Renzini, A.
name: Rosario, D.
name: Santini, P.
name: Scarlata, C.
name: Sommariva, V.
name: Stark, D. P.
name: van der Wel, A.
name: Vanzella, E.
name: Wild, V.
name: Yan, H.
name: Zibetti, S.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: We present the results of a new, ultra-deep, near-infrared imaging survey executed with the Hawk-I imager at the ESO VLT, of which we make all the data public. This survey, named HUGS (Hawk-I UDS and GOODS Survey), provides deep, high-quality imaging in the K and Y bands over the CANDELS UDS and GOODS-South fields. We describe here the survey strategy, the data reduction process, and the data quality. HUGS delivers the deepest and highest quality K-band images ever collected over areas of cosmological interest, and ideally complements the CANDELS data set in terms of image quality and depth. The seeing is exceptional and homogeneous, confined to the range 0.38"-0.43". In the deepest region of the GOODS-S field, (which includes most of the HUDF) the K-band exposure time exceeds 80 hours of integration, yielding a 1-sigma magnitude limit of ~28.0 mag/sqarcsec. In the UDS field the survey matches the shallower depth of the CANDELS images reaching a 1-sigma limit per sq.arcsec of ~27.3mag in the K band and ~28.3mag in the Y-band, We show that the HUGS observations are well matched to the depth of the CANDELS WFC3/IR data, since the majority of even the faintest galaxies detected in the CANDELS H-band images are also detected in HUGS. We present the K-band galaxy number counts produced by combining the HUGS data from the two fields. We show that the slope of the number counts depends sensitively on the assumed distribution of galaxy sizes, with potential impact on the estimated extra-galactic background light (abridged).
description: Accepted for publication on Astronomy and Astrophysics
Robust Lottery Tickets for Pre-trained Language Models
Creators: name: Zheng, Rui
name: Bao, Rong
name: Zhou, Yuhao
name: Liang, Di
name: Wang, Sirui
name: Wu, Wei
name: Gui, Tao
name: Zhang, Qi
name: Huang, Xuanjing
Publisher: name: arXiv
Year: 2022
Subjects: subject: Computation and Language (cs.CL)
subject: Artificial Intelligence (cs.AI)
subject: FOS: Computer and information sciences
subject: 68-06

description: Recent works on Lottery Ticket Hypothesis have shown that pre-trained language models (PLMs) contain smaller matching subnetworks(winning tickets) which are capable of reaching accuracy comparable to the original models. However, these tickets are proved to be notrobust to adversarial examples, and even worse than their PLM counterparts. To address this problem, we propose a novel method based on learning binary weight masks to identify robust tickets hidden in the original PLMs. Since the loss is not differentiable for the binary mask, we assign the hard concrete distribution to the masks and encourage their sparsity using a smoothing approximation of L0 regularization.Furthermore, we design an adversarial loss objective to guide the search for robust tickets and ensure that the tickets perform well bothin accuracy and robustness. Experimental results show the significant improvement of the proposed method over previous work on adversarial robustness evaluation.
description: ACL 2022. https://aclanthology.org/2022.acl-long.157
BAYESIAN AND E-BAYESIAN ESTIMATION OF EXPONENTIATED INVERSE RAYLEIGH DISTRIBUTION USING CONJUGATE PRIOR
Creators: name: Kumar, Ramesh
name: Hemani Sharma
name: Gupta, Rahul
name: Ableen Kaur
Publisher: name: Reliability: Theory & Applications
Year: 2024
Subjects: Al-Bayyati loss function
De-Groot loss function
Exponentiated inverse Rayleigh distribution
Gamma prior
Squared error loss function

description: This study explores the application of Bayesian and E-Bayesian techniques to estimate the scale parameter of the Exponentiated Inverse Rayleigh distribution. Bayesian estimates for the parameter are derived using an informative Gamma prior and evaluated under three distinct loss functions: DeGroot, Squared Error, and Al-Bayyati loss functions. Various Properties of the E-Bayesian estimators under different loss functions have also been studied. To compare the effectiveness of E-Bayesian estimates against the Bayesian counterpart, a simulation study is conducted using MatLab. The various derived estimators were compared in terms of their Mean Squared Error. The results of a simulation study reveal that E-Bayesian estimates exhibit a smaller Mean Squared Error in comparison to Bayesian estimates, thereby demonstrating their enhanced efficiency. Among the E-Bayesian estimates, the third one stands out as the most effective. Moreover, the analysis highlights that the Squared Error loss function outperforms the Al-Bayyati and De-Groot loss functions, exhibiting a smaller MSE. Furthermore, the efficacy of these estimators is demonstrated through an analysis of a real-life dataset.
Dynamics of a dipolar Bose-Einstein condensate in the vicinity of a superconductor
Creators: name: Sapina, Igor
name: Dahm, Thomas
Publisher: name: arXiv
Year: 2014
Subjects: subject: Quantum Gases (cond-mat.quant-gas)
subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: We study the dynamics of a dipolar Bose-Einstein condensate, like for example a $^{52}$Cr or $^{164}$Dy condensate, interacting with a superconducting surface. The magnetic dipole moments of the atoms in the Bose-Einstein condensate induce eddy currents in the superconductor. The magnetic field generated by eddy currents modifies the trapping potential such that the center-of-mass oscillation frequency is shifted. We numerically solve the Gross-Pitaevskii equation for this system and compare the results with analytical approximations. We present an approximation that gives excellent agreement with the numerical results. The eddy currents give rise to anharmonic terms, which leads to the excitation of shape fluctuations of the condensate. We discuss how the strength of the excitation of such modes can be increased by exploiting resonances, and we examine the strength of the resonances as a function of the center-of-mass oscillation amplitude of the condensate. Finally, we study different orientations of the magnetic dipoles and discuss favorable conditions for the experimental observation of the eddy current effect.
description: 18 pages, 9 figures
Quantum bit commitment with cheat sensitive binding and approximate sealing
Creators: name: Li, Yan-Bing
name: Xu, Sheng-Wei
name: Huang, Wei
name: Wan, Zhong-Jie
Publisher: name: arXiv
Year: 2014
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: This paper proposes a cheat sensitive quantum bit commitment (CSQBC) scheme based on single photons, in which Alice commits a bit to Bob. Here, Bob only can cheat the committed bit with probability close to $0$ with the increasing of used single photons' amount. And if Alice altered her committed bit after commitment phase, she will be detected with probability close to $1$ with the increasing of used single photons' amount. The scheme is easy to be realized with nowadays technology.
Fannie Mae National Housing Survey Monthly Key Indicators-June, 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); change in income (1); household expenses (1).
Fannie Mae National Housing Survey Monthly Key Indicators-July, 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); change in income (1); household expenses (1).
Low Prevalence of Pneumocystis pneumonia (PCP) but High Prevalence of Pneumocystis dihydropteroate synthase (dhps) Gene Mutations in HIV-Infected Persons in Uganda
Creators: name: Taylor, Steve M.
name: Byanyima, Patrick
name: Worodria, William
name: Kaswabuli, Sylvia
name: Meshnick, Steven R.
name: Yoo, Samuel D.
name: Goodman, Carol D.
name: Davis, J. Lucian
name: Cattamanchi, Adithya
name: Andama, Alfred
name: Huang, Laurence
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2012

description: Pneumocystis jirovecii pneumonia (PCP) is an important opportunistic infection in patients infected with HIV, but its burden is incompletely characterized in those areas of sub-Saharan Africa where HIV is prevalent. We explored the prevalence of both PCP in HIV-infected adults admitted with pneumonia to a tertiary-care hospital in Uganda and of putative P. jirovecii drug resistance by mutations in fungal dihydropteroate synthase (dhps) and dihydrofolate reductase (dhfr). In 129 consecutive patients with sputum smears negative for mycobacteria, 5 (3.9%) were diagnosed with PCP by microscopic examination of Giemsa-stained bronchoalveolar lavage fluid. Concordance was 100% between Giemsa stain and PCR (dhps and dhfr). PCP was more prevalent in patients newly-diagnosed with HIV (11.4%) than in patients with known HIV (1.1%; p = 0.007). Mortality at 2 months after discharge was 29% overall: 28% among PCP-negative patients, and 60% (3 of 5) among PCP-positive patients. In these 5 fungal isolates and an additional 8 from consecutive cases of PCP, all strains harbored mutant dhps haplotypes; all 13 isolates harbored the P57S mutation in dhps, and 3 (23%) also harbored the T55A mutation. No non-synonymous dhfr mutations were detected. PCP is an important cause of pneumonia in patients newly-diagnosed with HIV in Uganda, is associated with high mortality, and putative molecular evidence of drug resistance is prevalent. Given the reliability of field diagnosis in our cohort, future studies in sub-Saharan Africa can investigate the clinical impact of these genotypes.
Macrophages Facilitate Coal Tar Pitch Extract-Induced Tumorigenic Transformation of Human Bronchial Epithelial Cells Mediated by NF-κB
Creators: name: Zhang, Shaofeng
name: Feng, Feifei
name: Wu, Yongjun
name: Qin, Lijuan
name: Wu, Weidong
name: Yan, Zhen
name: Wu, Yiming
name: Liu, Yu
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2012

description: Chronic respiratory inflammation has been associated with lung cancer. Tumor-associated macrophages (TAMs) play a critical role in the formation of inflammation microenvironment. We sought to characterize the role of TAMs in coal tar pitch extract (CTPE)-induced tumorigenic transformation of human bronchial epithelial cells and the underlying mechanisms.
BAYESIAN NON-INFERIORITY TEST BETWEEN TWO BINOMIAL PROPORTIONS
Creators: name: W.B. Yahya
name: C.P. Ezenweke
name: O.R. Olaniran
name: I.A. Adeniyi
name: K. Jimoh
name: R.B. Afolayan
name: M.K. Garba
name: I. Ahmed
Publisher: name: Reliability: Theory & Applications
Year: 2024
Subjects: Non‐inferiority test
Test of proportion
Bayesian Inference
Conjugate prior
Power

description: The paper aimed to propose a new Bayesian test method for establishing a non-inferiority measure between an active treatment (drug) and a new (cheaper) treatment using two independent binomial samples. A Bayesian test statistic was developed for testing non-inferiority between two independent binomial proportions. Conjugate Beta prior was assumed for the binomial proportions to elicit posterior from the same Beta family of distributions. The efficiency of this test method was established via power analysis and its ability to yield the nominal Type I error rate (alpha) in a detailed Monte-Carlo study. Results from this study showed that the proposed test method yielded higher powers and good estimates of the Type I error rate at the chosen sample sizes and varying non-inferiority margins (effect sizes). Thus, the new Bayesian test method is very efficient at detecting the significance of the non-inferiority margin between two independent binomial proportions when such is not negligible at all sample sizes. Further results showed that the size of the two population proportions being tested influences the power and the estimated nominal Type I error rate with an increase in power and a good estimate of Type I error rate achieved when both population proportions being tested are less than 0.5. It is therefore concluded that the new Bayesian test method can be employed whenever it is desirable to establish the existence of non-inferiority or otherwise between a pair of (clinical) treatments (drugs). All the simulations and analyses were performed with the R statistical package.
Mdm2 RING Mutation Enhances p53 Transcriptional Activity and p53-p300 Interaction
Creators: name: Clegg, Hilary V.
name: Zhang, Yanping
name: Itahana, Yoko
name: Itahana, Koji
name: Ramalingam, Sundhar
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2012

description: The p53 transcription factor and tumor suppressor is regulated primarily by the E3 ubiquitin ligase Mdm2, which ubiquitinates p53 to target it for proteasomal degradation. Aside from its ubiquitin ligase function, Mdm2 has been believed to be capable of suppressing p53's transcriptional activity by binding with and masking the transactivation domain of p53. The ability of Mdm2 to restrain p53 activity by binding alone, without ubiquitination, was challenged by a 2007 study using a knockin mouse harboring a single cysteine-to-alanine point mutation (C462A) in Mdm2's RING domain. Mouse embryonic fibroblasts with this mutation, which abrogates Mdm2's E3 ubiquitin ligase activity without affecting its ability to bind with p53, were unable to suppress p53 activity. In this study, we utilized the Mdm2C462A mouse model to characterize in further detail the role of Mdm2's RING domain in the control of p53. Here, we show in vivo that the Mdm2C462A protein not only fails to suppress p53, but compared to the complete absence of Mdm2, Mdm2C462A actually enhances p53 transcriptional activity toward p53 target genes p21/CDKN1A, MDM2, BAX, NOXA, and 14-3-3σ. In addition, we found that Mdm2C462A facilitates the interaction between p53 and the acetyltransferase CBP/p300, and it fails to heterodimerize with its homolog and sister regulator of p53, Mdmx, suggesting that a fully intact RING domain is required for Mdm2's inhibition of the p300-p53 interaction and for its interaction with Mdmx. These findings help us to better understand the complex regulation of the Mdm2-p53 pathway and have important implications for chemotherapeutic agents targeting Mdm2, as they suggest that inhibition of Mdm2's E3 ubiquitin ligase activity may be sufficient for increasing p53 activity in vivo, without the need to block Mdm2-p53 binding.
Drug candidates and potential targets of Curculigo spp. compounds for treating diabetes mellitus based on network pharmacology, molecular docking and molecular dynamics simulation
Creators: name: Umar, Abdul Halim
name: Ratnadewi, Diah
name: Rafi, Mohamad
name: Sulistyaningsih, Yohana Caecilia
name: Hamim, Hamim
name: Kusuma, Wisnu Ananta
Publisher: name: Taylor & Francis
Year: 2022
Subjects: subject: Biochemistry
subject: Genetics
subject: FOS: Biological sciences
subject: Pharmacology
subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified

description: Curculigo spp. is a herb that is commonly used in Indonesia to treat diabetes mellitus (DM) . The main active components of Curculigo spp. were identified through our previous metabolomic study and online database platform. However, the biological mechanisms underlying Curculigo spp. activity in treating DM remain unclear. Therefore, in this study, a network pharmacology was used to explore the active compounds of Curculigo spp. and their potential molecular mechanisms for treating DM. Oral bioavailability and drug-likeness from the compounds of Curculigo spp. were screened using Lipinski’s rule of five, BBB, HIA + and Caco-2 permeability criteria. A network of compound–target–disease–pathway was then constructed using Cytoscape. The highest degree compounds and targets were then confirmed by molecular docking and molecular dynamics (MD) simulations. The human body can absorb 33 compounds derived from Curculigo spp. In addition, 58 nodes and 62 edges generated a network analysis with the DM target. The highest degree of the compound–target–disease pathway was for orcinol glucoside, AKR1B1, autoimmune diabetes, bile acid and bile salt metabolism. Furthermore, the computational docking method on Curculigo spp. compounds with the highest degree revealed that orcinol glucoside interacted with PTPN1 through a hydrogen bond and resulted in a binding energy of −7.2 kcal mol−1. Through hydrogen bonds, orcinol glucoside in PTPN1 regulates multiple signaling pathways via the adherens junction pathway, which may play a therapeutic role in DM (type 2 diabetes: obesity). In addition, MD simulation confirmed that orcinol glucoside, is suitable for DM treatment by interacting with PTPN1. Communicated by Ramaswamy H. Sarma
Fannie Mae's National Housing Survey Monthly Home Purchase Sentiment Index (HPSI) and Key indicators - October, 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).