cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Higgsless superconductivity from topological defects in compact BF terms
Creators: name: Diamantini, M. Cristina
name: Trugenberger, Carlo A.
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: We present a new Higgsless model of superconductivity, inspired from anyon superconductivity but P- and T-invariant and generalizable to any dimension. While the original anyon superconductivity mechanism was based on incompressible quantum Hall fluids as average field states, our mechanism involves topological insulators as average field states. In D space dimensions it involves a (D-1)-form fictitious pseudovector gauge field which originates from the condensation of topological defects in compact low-energy effective BF theories. In the average field approximation, the corresponding uniform emergent charge creates a gap for the (D-2)-dimensional branes via the Magnus force, the dual of the Lorentz force. One particular combination of intrinsic and emergent charge fluctuations that leaves the total charge distribution invariant constitutes an isolated gapless mode leading to superfluidity. The remaining massive modes organise themselves into a D-dimensional charged, massive vector. There is no massive Higgs scalar as there is no local order parameter. When electromagnetism is switched on, the photon acquires mass by the topological BF mechanism. Although the charge of the gapless mode (2) and the topological order (4) are the same as those of the standard Higgs model, the two models of superconductivity are clearly different since the origins of the gap, reflected in the high-energy sectors are totally different. In 2D this type of superconductivity is explicitly realized as global superconductivity in Josephson junction arrays. In 3D this model predicts a possible phase transition from topological insulators to Higgsless superconductors.
description: 12 pages, no figures
Fannie Mae National Housing Survey Monthly Key Indicators-July, 2014 (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).
Incorporation of Noncanonical Amino Acids into Rosetta and Use in Computational Protein-Peptide Interface Design
Creators: name: Bonneau, Richard
name: Kuhlman, Brian
name: Choi, Eun Jung
name: Renfrew, P. Douglas
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2012

description: Noncanonical amino acids (NCAAs) can be used in a variety of protein design contexts. For example, they can be used in place of the canonical amino acids (CAAs) to improve the biophysical properties of peptides that target protein interfaces. We describe the incorporation of 114 NCAAs into the protein-modeling suite Rosetta. We describe our methods for building backbone dependent rotamer libraries and the parameterization and construction of a scoring function that can be used to score NCAA containing peptides and proteins. We validate these additions to Rosetta and our NCAA-rotamer libraries by showing that we can improve the binding of a calpastatin derived peptides to calpain-1 by substituting NCAAs for native amino acids using Rosetta. Rosetta (executables and source), auxiliary scripts and code, and documentation can be found at (http://www.rosettacommons.org/).
Computer-aided design of proline-rich antimicrobial peptides based on the chemophysical properties of a peptide isolated from Olivancillaria hiatula
Creators: name: Gasu, Edward Ntim
name: Mensah, John Kenneth
name: Borquaye, Lawrence Sheringham
Publisher: name: Taylor & Francis
Year: 2022
Subjects: subject: Biochemistry
subject: Medicine
subject: Molecular Biology
subject: Pharmacology
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified
subject: Virology

description: The chemophysical properties of a peptide isolated from Olivancillaria hiatula were combined with computational tools to design new antimicrobial peptides (AMPs). The in silico peptide design utilized arbitrary sequence shuffling, AMP sequence prediction and alignments such that putative sequences mimicked those of proline-rich AMPs (PrAMPs) and were potentially active against bacteria. Molecular modelling and docking experiments were used to monitor peptide binding to some intracellular targets like bacteria ribosome, DnaK and LasR. Peptide candidates were tested in vitro for antibacterial and antivirulence activities. Chemophysical studies of peptide extract suggested hydrophobic, acidic and proline-rich peptide properties. The amino acid signature of the extract matched that of AMPs that inhibit intracellular targets. Two of the designed PrAMP peptides (OhPrP-3 and OhPrP-5) had high affinity for the ribosome and DnaK. OhPrP-1, 2 and 4 also had favorable interactions with the biomolecular targets investigated. Peptides had bactericidal activity at the minimum inhibitory concentration against Pseudomonas aeruginosa. The designed peptides docked strongly to LasR suggesting possible interference with quorum sensing, and this was corroborated by in vitro data where sub-inhibitory doses of all peptides reduced pyocyanin and pyoverdine expression. The designed peptides can be further studied for the development of new anti-infective agents. Communicated by Ramaswamy H. Sarma
Hybrid HMM Decoder For Convolutional Codes By Joint Trellis-Like Structure and Channel Prior
Creators: name: Li, Haoyu
name: Wang, Xuan
name: Liu, Tong
name: Fang, Dingyi
name: Liu, Baoying
Publisher: name: arXiv
Year: 2022
Subjects: subject: Information Theory (cs.IT)
subject: Machine Learning (cs.LG)
subject: Networking and Internet Architecture (cs.NI)
subject: FOS: Computer and information sciences

description: The anti-interference capability of wireless links is a physical layer problem for edge computing. Although convolutional codes have inherent error correction potential due to the redundancy introduced in the data, the performance of the convolutional code is drastically degraded due to multipath effects on the channel. In this paper, we propose the use of a Hidden Markov Model (HMM) for the reconstruction of convolutional codes and decoding by the Viterbi algorithm. Furthermore, to implement soft-decision decoding, the observation of HMM is replaced by Gaussian mixture models (GMM). Our method provides superior error correction potential than the standard method because the model parameters contain channel state information (CSI). We evaluated the performance of the method compared to standard Viterbi decoding by numerical simulation. In the multipath channel, the hybrid HMM decoder can achieve a performance gain of 4.7 dB and 2 dB when using hard-decision and soft-decision decoding, respectively. The HMM decoder also achieves significant performance gains for the RSC code, suggesting that the method could be extended to turbo codes.
description: 12 pages, 8 figures
Fast algorithms for simulating chiral fermions in U(1)lattice gauge theory
Creators: name: Xhako, Dafina
name: Boriçi, Artan
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Physics - Lattice (hep-lat)
subject: FOS: Physical sciences

description: In order to develop fast inversion algorithms we have used overlap solvers in two dimensions. Lattice QED theory with U(1) group symmetry in two dimensional space-times dimensions has always been a testing ground for algorithms. By the other side, motivated by our previews work that the two-grid algorithm converge faster than the standard iterative methods for overlap inversion but not for all quark masses, we thought to test this idea in less dimensions such as U(1) gauge theory. Our main objective of this paper it is to implement and develop the idea of a two level algorithm in a new algorithm coded in QCDLAB. This implementation is presented in the preconditioned GMRESR algorithm, as our new contribution in QCDLAB package. The preconditioned part of our algorithm, different from the one of [18], is the approximation of the overlap operator with the truncated overlap operator with finite N3 dimension. We have tested it for 100 statistically independent configurations on 32 x 32 lattice background U(1) field at coupling constant \b{eta}=1 and for different bare quark masses mq = [0.5, 0.45, 0.4, 0.35, 0.3, 0.25, 0.2, 0.15, 0.1]. We have compared the convergence history of the preconditioned GMRESR residual norm with another overlap inverter of QCDLAB as an optimal one, such as SHUMR. We have shown that our algorithm converges faster than SHUMR for different quark masses. Also, we have demonstrated that it saves more time for light quarks compared to SHUMR algorithm. Our algorithm is approximately independent from the quark mass. This is a key result in simulations with chiral fermions in lattice theories. By the other side, if we compare the results of [18] for quark mass 0.1 in SU(3), results that our chosen preconditioned saves a factor of 2 but in U(1). Our next step is to test this algorithm in SU(3) and to adopt it in parallel.
description: Published online April 20, 2014 (http://www.sciencepublishinggroup.com/j/ajpa)
Fannie Mae National Housing Survey Monthly Key Indicators-August, 2014 (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).
ANALYSIS OF TWO NON-IDENTICAL UNIT SYSTEM HAVING SAFE AND UNSAFE FAILURES WITH REBOOTING AND PARAMETRIC ESTIMATION IN CLASSICAL AND BAYESIAN PARADIGMS
Creators: name: Sharma, Poonam
name: Kumar, Pawan
Publisher: name: Reliability: Theory & Applications
Year: 2024
Subjects: Reliability
Availability
Mean Time to System Failure
Regenerative Point Technique
Rebooting
Coverage Proabability
Bayesian Estimation
Maximum Likelihood Estimation

description: The present paper aims at the study of a two non-identical system model having safe and unsafe failures and rebooting. The focus centers on the analysis w.r.t important reliability measures and estimation of parameters in Classical and Bayesian paradigms. At first one of the units is operational whereas other one is confined to standby mode. Any unit may suffer safe or unsafe failure. A safe failure is immediately taken up for remedial action by a repairman available with the system all the time, while the case of unsafe failure cannot be dealt directly but first rebooting is performed to convert the unsafe failure to safe failure mode so as to start repair normally. A switching device is used to make the repaired and standby units operational. The lifetime of both the units and switching device are taken to be exponentially distributed random variables whereas the distribution of repair times are assumed to be general. Regenerative point technique is employed to derive assosciated measures of effectiveness. To make the study more elaborative and visually attractive, some of the derived characteristics have been studied graphically too. A simulation study has also been undertaken to exhibit the behaviour of obtained characteristics in Classical and Bayesian setup. Valuable inferences about MLE and Bayes estimates have been drawn from the tables and graphs for varying values of failure and repair parameters.
Inflammatory Bowel Diseases Phenotype, C. difficile and NOD2 Genotype Are Associated with Shifts in Human Ileum Associated Microbial Composition
Creators: name: Wu, Xiao
name: Rohlf, F. James
name: Harpaz, Noam
name: Yuan, Jeffrey
name: Zhu, Wei
name: Boedeker, Edgar C.
name: Gulati, Ajay S.
name: Sodergren, Erica
name: Robertson, Charles E.
name: Gu, Chi
name: Weinstock, George M.
name: Chen, Hongyan
name: Pace, Norman R.
name: Sartor, R. Balfour
name: Zhang, Tianyi
name: Frank, Daniel N.
name: Li, Ellen
name: Hamm, Christina M.
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2012

description: We tested the hypothesis that Crohn’s disease (CD)-related genetic polymorphisms involved in host innate immunity are associated with shifts in human ileum–associated microbial composition in a cross-sectional analysis of human ileal samples. Sanger sequencing of the bacterial 16S ribosomal RNA (rRNA) gene and 454 sequencing of 16S rRNA gene hypervariable regions (V1–V3 and V3–V5), were conducted on macroscopically disease-unaffected ileal biopsies collected from 52 ileal CD, 58 ulcerative colitis and 60 control patients without inflammatory bowel diseases (IBD) undergoing initial surgical resection. These subjects also were genotyped for the three major NOD2 risk alleles (Leu1007fs, R708W, G908R) and the ATG16L1 risk allele (T300A). The samples were linked to clinical metadata, including body mass index, smoking status and Clostridia difficile infection. The sequences were classified into seven phyla/subphyla categories using the Naïve Bayesian Classifier of the Ribosome Database Project. Centered log ratio transformation of six predominant categories was included as the dependent variable in the permutation based MANCOVA for the overall composition with stepwise variable selection. Polymerase chain reaction (PCR) assays were conducted to measure the relative frequencies of the Clostridium coccoides – Eubacterium rectales group and the Faecalibacterium prausnitzii spp. Empiric logit transformations of the relative frequencies of these two microbial groups were included in permutation-based ANCOVA. Regardless of sequencing method, IBD phenotype, Clostridia difficile and NOD2 genotype were selected as associated (FDR ≤0.05) with shifts in overall microbial composition. IBD phenotype and NOD2 genotype were also selected as associated with shifts in the relative frequency of the C. coccoides – E. rectales group. IBD phenotype, smoking and IBD medications were selected as associated with shifts in the relative frequency of F. prausnitzii spp. These results indicate that the effects of genetic and environmental factors on IBD are mediated at least in part by the enteric microbiota.
Novel Eubacterium rectale inhibitor from Coriandrum sativum L. for possible prevention of colorectal cancer: a computational approach
Creators: name: Khatabi, Khalil El
name: Kumar, Shashank
name: El-Mernissi, Reda
name: Singh, Atul Kumar
name: Ajana, Mohammed Aziz
name: Lakhlifi, Tahar
name: Bouachrine, Mohammed
Publisher: name: Taylor & Francis
Year: 2022
Subjects: Biochemistry
Medicine
Pharmacology
Biotechnology
Chemical Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
Cancer

description: This research aims to screen out the effective bioactive compounds from Coriander (Coriandrum sativum L.), which may be novel potential inhibitors of Eubacterium rectale for the prevention of colorectal cancer (CRC). A series of 8 coriander-derived chemical compounds previously assessed for their anti-inflammatory, antioxidant, and antidiabetic activities were tested against Carbohydrate ABC transporter substrate-binding protein and compared to the standard inhibitor Acarbose, to support their use as novel Eubacterium rectale inhibitors. Herein, these derivatives were submitted to a thorough analysis of docking studies, in which detailed interactions of the selected phytocompounds with carbohydrate ABC transporter substrate-binding protein were revealed. Molecular docking analysis recommends Rutin, Gallocatechin, and Epigallocatechin as the most potential Eubacterium rectale inhibitors among the eight selected phytochemical compounds. Subsequently, the stability of the three selected phytochemical complexes was checked using molecular dynamics (MD) simulation at 100 ns and Molecular Mechanics combined with Poisson-Boltzmann Surface Area (MM-PBSA). The results show quite good stability for Rutin and Gallocatechin. In silico ADMET prediction was performed on the selected compounds, and the findings revealed a reasonably good ADMET profile for both Rutin and Gallocatechin. The current findings predict that Gallocatechin could be a better CRC preventive natural compound, and, further in vitro, in vivo and clinical studies may confirm its therapeutic potential. Communicated by Ramaswamy H. Sarma
Fannie Mae National Housing Survey Monthly Key Indicators-September, 2014 (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).
Insect Neuropeptide Bursicon Homodimers Induce Innate Immune and Stress Genes during Molting by Activating the NF-κB Transcription Factor Relish
Creators: name: Li, Sheng
name: Gilbert, Lawrence I.
name: Wang, Qian
name: Dong, Shengzhang
name: Stanley, David
name: An, Shiheng
name: Song, Qisheng
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2012

description: BackgroundBursicon is a heterodimer neuropeptide composed of two cystine knot proteins, bursicon α (burs α) and bursicon β (burs β), that elicits cuticle tanning (melanization and sclerotization) through the Drosophila leucine-rich repeats-containing G protein-coupled receptor 2 (DLGR2). Recent studies show that both bursicon subunits also form homodimers. However, biological functions of the homodimers have remained unknown until now.Methodology/Principal FindingsIn this report, we show in Drosophila melanogaster that both bursicon homodimers induced expression of genes encoding antimicrobial peptides (AMPs) in neck-ligated adults following recombinant homodimer injection and in larvae fat body after incubation with recombinant homodimers. These AMP genes were also up-regulated in 24 h old unligated flies (when the endogenous bursicon level is low) after injection of recombinant homodimers. Up-regulation of AMP genes by the homodimers was accompanied by reduced bacterial populations in fly assay preparations. The induction of AMP expression is via activation of the NF-κB transcription factor Relish in the immune deficiency (Imd) pathway. The influence of bursicon homodimers on immune function does not appear to act through the heterodimer receptor DLGR2, i.e. novel receptors exist for the homodimers.Conclusions/SignificanceOur results reveal a mechanism of CNS-regulated prophylactic innate immunity during molting via induced expression of genes encoding AMPs and genes of the Turandot family. Turandot genes are also up-regulated by a broader range of extreme insults. From these data we infer that CNS-generated bursicon homodimers mediate innate prophylactic immunity to both stress and infection during the vulnerable molting cycle.
ANALYTICAL AND COMPUTATIONAL ASPECTS OF A MULTI-SERVER QUEUE WITH IMPATIENCE UNDER DIFFERENTIATED WORKING VACATIONS POLICY
Creators: name: Aimen Dehimi
name: Boualem, Mohamed
name: Bouchentouf, Amina Angelika
name: Ziani, Sofiane
name: Berdjoudj, Louiza
Publisher: name: Reliability: Theory & Applications
Year: 2024
Subjects: Multi-ser ver queue
dif ferentiated vacations
impatience
GWO algorithm
cost optimization

description: A multi-server queueing system with synchronous differentiated working vacation policy, Bernoulli schedule vacation interruption, and customer impatience (balking and reneging) is studied. The system consists of c servers and a finite capacity N, where customers arrive according to a Poisson process and are served in the chronological order of their arrival. When the system becomes empty, servers wait for a random duration before entering a type-1 working vacation, during which service is provided at a reduced rate. If customers are present in the system at the moment of service achievement during this period, the vacation is interrupted. With a certain probability, servers return to the regular busy period; otherwise, they continue the working vacation. Upon completion of the working vacation, if the system is still empty, servers can take another working vacation of shorter duration, named type-2 working vacation; otherwise, they switch to the regular busy period. Customer impatience is considered during both the normal busy period and working vacations. A recursive analysis method is used to find the steady-state probabilities of the system. Then, some important performance measures are obtained. Furthermore, an optimal operational policy for the model is developed to minimize the total expected cost. The Grey Wolf Optimization (GWO) meta-heuristic approach is employed to determine the optimal service rates for both working vacations and normal busy periods. Finally, several numerical examples are provided to validate and support the theoretical findings.
Fannie Mae National Housing Survey Monthly Key Indicators-October, 2014 (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).
A NEW GENERALIZATION OF SABUR DISTRIBUTION
Creators: name: Suvarna Ranade
name: Aafaq A. Rather
Publisher: name: Reliability: Theory & Applications
Year: 2024
Subjects: Sabur distribution
Length biased
Weighted transformation
Reliability analysis
Maximum likelihood estimator
Ordered statistics

description: When the weight function depends on the lengths of the units of interest, the resulting distribution is called length biased. Length biased distribution is thus a special case of the more general form, known as weighted distribution. In this study, we introduce a novel probability distribution named the Length-Biased Sabur distribution (LBSD). This new distribution enhances the traditional Sabur distribution by incorporating a weighted transformation approach. The paper investigates the probability density function (pdf) and the cumulative distribution function (cdf) associated with the LBSD. A thorough examination of the distinctive structural properties of the proposed model is conducted, covering the survival function, conditional survival function, hazard function, cumulative hazard function, mean residual life, moments, moment generating function, characteristic function, likelihood ratio test, ordered statistics, entropy measures, and Bonferroni and Lorenz curve.
Fannie Mae National Housing Survey Monthly Key Indicators-November, 2014 (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).
Adaptive and Fair Deployment Approach to Balance Offload Traffic in Multi-UAV Cellular Networks
Creators: name: Lai, Chuan-Chi
name: Bhola
name: Tsai, Ang-Hsun
name: Wang, Li-Chun
Publisher: name: arXiv
Year: 2022
Subjects: subject: Networking and Internet Architecture (cs.NI)
subject: Systems and Control (eess.SY)
subject: Signal Processing (eess.SP)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Unmanned aerial vehicle-aided communication (UAB-BS) is a promising solution to establish rapid wireless connectivity in sudden/temporary crowded events because of its more flexibility and mobility features than conventional ground base station (GBS). Because of these benefits, UAV-BSs can easily be deployed at high altitudes to provide more line of sight (LoS) links than GBS. Therefore, users on the ground can obtain more reliable wireless channels. In practice, the mobile nature of the ground user can create uneven user density at different times and spaces. This phenomenon leads to unbalanced user associations among UAV-BSs and may cause frequent UAV-BS overload. We propose a three-dimensional adaptive and fair deployment approach to solve this problem. The proposed approach can jointly optimize the altitude and transmission power of UAV-BS to offload the traffic from overloaded UAV-BSs. The simulation results show that the network performance improves by 37.71% in total capacity, 37.48% in total energy efficiency and 16.12% in the Jain fairness index compared to the straightforward greedy approach.
description: 15 pages, 9 figures, to appear in IEEE Transactions on Vehicular Technology
The gas inflow and outflow rate in star-forming galaxies at $z\sim1.4$
Creators: name: Yabe, Kiyoto
name: Ohta, Kouji
name: Akiyama, Masayuki
name: Iwamuro, Fumihide
name: Tamura, Naoyuki
name: Yuma, Suraphong
name: Dalton, Gavin
name: Lewis, Ian
Publisher: name: arXiv
Year: 2014
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: We try to constrain the gas inflow and outflow rate of star-forming galaxies at $z\sim1.4$ by employing a simple analytic model for the chemical evolution of galaxies. The sample is constructed based on a large near-infrared (NIR) spectroscopic sample observed with Subaru/FMOS. The gas-phase metallicity is measured from the [\ion{N}{2}]$λ$6584/H$α$ emission line ratio and the gas mass is derived from the extinction corrected H$α$ luminosity by assuming the Kennicutt-Schmidt law. We constrain the inflow and outflow rate from the least-$χ^{2}$ fittings of the observed gas mass fraction, stellar mass, and metallicity with the analytic model. The joint $χ^{2}$ fitting shows the best-fit inflow rate is $\sim1.8$ and the outflow rate is $\sim0.6$ in unit of star-formation rate (SFR). By applying the same analysis to the previous studies at $z\sim0$ and $z\sim2.2$, it is shown that the both inflow rate and outflow rate decrease with decreasing redshift, which implies the higher activity of gas flow process at higher redshift. The decreasing trend of the inflow rate from $z\sim2.2$ to $z\sim0$ agrees with that seen in the previous observational works with different methods, though the absolute value is generally larger than the previous works. The outflow rate and its evolution from $z\sim2.2$ to $z\sim0$ obtained in this work agree well with the independent estimations in the previous observational works.
description: 11 pages, 7 figures, accepted for publication in ApJ
AN IMPROVED ESTIMATOR OF FINITE POPULATION MEAN UNDER RANKED SET SAMPLING
Creators: name: Baeta, Francis Delali
name: Dioggban Jakperik
name: Adjabui, Michael Jackson
Publisher: name: Reliability: Theory & Applications
Year: 2024
Subjects: Ranked Set Sampling
Ratio Estimator
Bias
Mean Squared Error
Auxiliary Variable

description: To obtain reliable estimates of population parameters, data that is sampled for estimation must accurately represent the underlying population. Sampled data that is representative of the underlying population depends also on the sampling technique that was used in obtaining them. This is very important since sampling bias could lead to over or under estimation of parameters. Ranked Set Sampling is considered to be a better alternative to the classical sampling designs in obtaining such data. Ranked Set Sampling is designed to minimize the number of measured observations required to achieve a desired precision in making inferences, and thus it is more economical to use for the purposes of estimation, compared to the classical sampling designs. This is also an added advantage in cases where it is difficult to obtain data. Many estimators have been developed recently for the estimation of finite population mean under ranked set sampling. This paper aims to improve estimation by modifying an existing estimator using a simple linear combination of the known population mean, square root of the known coefficient of variation, and the known median of an auxiliary variable. The theoretical properties of the proposed estimator, such as the bias and mean squared error were derived up to the first order of approximation, using Taylor’s expansion. The bias, mean squared error, absolute relative bias, and the relative efficiency were used as means of evaluation and comparison between the proposed modified estimator and its competitors. The R software was used to aid computations. Empirical applications to real data showed that the proposed modified estimator is superior to the competing estimators that were compared since it has least bias, the least mean squared error, the least absolute relative bias, and the highest relative efficiency in all sample sizes that were considered. The bias and mean squared error of the modified estimator under Ranked Set Sampling was found to be smaller than those of the existing estimators that were compared. Hence it is more efficient and capable of providing reliable estimates than the existing estimators that were compared and so we recommend that it should be used in survey estimations.
Integrated Analyses of microRNAs Demonstrate Their Widespread Influence on Gene Expression in High-Grade Serous Ovarian Carcinoma
Creators: name: Zhang, Yiqun
name: Gibbs, Richard A.
name: Schultz, Nikolaus
name: Sander, Chris
name: Mankoo, Parminder
name: Du, Ying
name: Hernandez-Herrera, Anadulce
name: Wheeler, David A.
name: Spellman, Paul T.
name: Larsson, Erik
name: Getz, Gad
name: Jacobsen, Anders
name: Levine, Douglas A.
name: Perou, Charles M.
name: Sheridan, Robert
name: Gunaratne, Preethi H.
name: Xiao, Weimin
name: Hayes, D. Neil
name: Creighton, Chad J.
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2012

description: BackgroundThe Cancer Genome Atlas (TCGA) Network recently comprehensively catalogued the molecular aberrations in 487 high-grade serous ovarian cancers, with much remaining to be elucidated regarding the microRNAs (miRNAs). Here, using TCGA ovarian data, we surveyed the miRNAs, in the context of their predicted gene targets.Methods and ResultsIntegration of miRNA and gene patterns yielded evidence that proximal pairs of miRNAs are processed from polycistronic primary transcripts, and that intronic miRNAs and their host gene mRNAs derive from common transcripts. Patterns of miRNA expression revealed multiple tumor subtypes and a set of 34 miRNAs predictive of overall patient survival. In a global analysis, miRNA:mRNA pairs anti-correlated in expression across tumors showed a higher frequency of in silico predicted target sites in the mRNA 3′-untranslated region (with less frequency observed for coding sequence and 5′-untranslated regions). The miR-29 family and predicted target genes were among the most strongly anti-correlated miRNA:mRNA pairs; over-expression of miR-29a in vitro repressed several anti-correlated genes (including DNMT3A and DNMT3B) and substantially decreased ovarian cancer cell viability.ConclusionsThis study establishes miRNAs as having a widespread impact on gene expression programs in ovarian cancer, further strengthening our understanding of miRNA biology as it applies to human cancer. As with gene transcripts, miRNAs exhibit high diversity reflecting the genomic heterogeneity within a clinically homogeneous disease population. Putative miRNA:mRNA interactions, as identified using integrative analysis, can be validated. TCGA data are a valuable resource for the identification of novel tumor suppressive miRNAs in ovarian as well as other cancers.
A NOVEL ASYMMETRIC COMPOUND CLASS OF DISTRIBUTIONS WITH ESTIMATION AND APPLICATION
Creators: name: A.G. Al-Kilany
name: Hassan, Amal S.
name: L.S. Diab
name: E.S. El-Atfy
Publisher: name: Reliability: Theory & Applications
Year: 2024
Subjects: Power series distributions
inverse power Lomax distribution
moments
compounding
Havrda and Charvat measure
Cramér von Mises

description: This paper introduces and discusses the novel asymmetric class of distributions that have the name inverse power Lomax power series (IPLPS). This class of distributions is produced by combining the inverse power Lomax with the power series distributions. This combined approach provides an opportunity for the creation of flexible distributions with significant physical implications in many fields, like biology and engineering. The IPLPS distributions encompass several new compound distributions as sub-models along with a new class of compound distributions. Many statistical features, including moments, quantile function, conditional moments, inverse moments, uncertainty measures, and probability-weighted moments, are obtained. As a special model of the generated class, the parameters of the inverse power Lomax Poisson distribution are estimated by different methods, including least squares, Cramér von Mises, maximum likelihood, and weighted least squares. Through an extensive simulation analysis, the execution of different parameter estimation techniques for the inverse power Lomax Poisson model is performed to show its validity based on its mean squared error and absolute bias. Two real datasets are utilized to show the practicality of the newly generated model. Results show that the inverse power Lomax Poisson distribution provides the most fitted model for these datasets in comparison to other distributions such as power Lomax, MarshallOlkin power Lomax, power Lomax Poisson, and Topp-Leone Lomax distributions.
Exploring STAT3 stimulatory potential of novel wound healing molecules by virtual screening and molecular dynamics simulations
Creators: name: Kumar, Subodh
name: Chaaudhary, Somya
name: Paul, Prateek
name: Verma, Yogesh Kumar
Publisher: name: Taylor & Francis
Year: 2022
Subjects: subject: Biophysics
subject: Biochemistry
subject: Cell Biology
subject: Molecular Biology
subject: Pharmacology
subject: Biotechnology
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Cancer

description: STAT3 signaling is a major intrinsic pathway for cell proliferation owing to its frequent activation in injured tissues. Various STAT3-regulated genes encode cytokines and growth factors, the receptors of which in turn activate the same STAT3 pathways, thereby regulating cell proliferation. In present study, we aimed to analyze several compounds for their wound healing and tissue repair potential by computer-aided virtual screening and Molecular dynamics (MD) simulation. Based on literature studies, a total of 36 drug molecules were selected having critical functions in wound healing and tissue repair. The pharmacological features (ADME and toxicity) of these molecules were predicted to find lead molecules among them. Further, a comparative study was performed to screen binding efficiency of STAT3 with many conventional wound healers by molecular docking. Among all, W6S, Strychnin, Prednisone and N-(6-(4-(3-(4-((4-Methylpiperazin-1-yl) methyl)-3- (trifluoromethyl)phenyl)ureido)phenoxy)pyrimidin-4-yl)cyclopropanecarboxamide showed best docking with STAT3 protein. The calculated binding energy of these molecules with STAT3 was found to be -8.9 Kca/mol for N-(6-(4-(3-(4-((4-Methylpiperazin-1-yl) methyl)-3-(trifluoromethyl) phenyl)ureido)phenoxy)pyrimidin-4-yl)cyclopropanecarboxamide, -8.7 Kcal/mol for W6S, -8.5 Kcal/mol for Strychnine and -8.4 Kcal/mol for Prednisone . The result was reconsidered for MD simulation. The simulation result showed stable binding of the ligand with STAT3 protein for 100 ns. These compounds showed better interaction potential with STAT3 was compared to known tissue repair molecules. Our data paves way for further exploration of these molecules as novel cell proliferators to be tested in various types of wound and tissue injuries. Communicated by Ramaswamy H. Sarma
Supernova-remnant origin of the Galactic-Centre filaments
Creators: name: Sofue, Yoshiaki
Publisher: name: arXiv
Year: 2022
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: The mechanism to produce the numerous Galactic-Centre filaments (GCF) that vertically penetrate the Galactic plane without clear evidence of connection to the disc remains a mystery . Here we show that the GCFs are explained by relics of supernova remnants (rSNR) driven by hundreds of supernovae (SNe) exploded in the star-forming ring of the central molecular zone (CMZ) at an SN rate of $\sim 2\times 10^{-4}$ y$^{-1}$ in the past $\sim 0.5$ My. The evolution of rSNRs is simulated by the propagation of fast-mode magneto-hydrodynamic (MHD) waves, which are shown to converge around the Galactic rotation axis by the focusing effect. Tangential projection of the cylindrical wave fronts on the sky constitutes the vertical filaments. The SNR model explains not only the morphology, but also the non-thermal radio spectrum, smoothed brightness over the distribution area consistent with the $Σ-D$ relation of SNR,and the heating mechanism of hot plasma in the GC. We also discuss the implication of the model on the study of the interstellar physics and star-formation activity in the Galactic Centre.
description: Accepted for MNRAS, 21 pages, 21 figures
Fannie Mae National Housing Survey Monthly Key Indicators-December, 2014 (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).
Intronic Parent-of-Origin Dependent Differential Methylation at the Actn1 Gene Is Conserved in Rodents but Is Not Associated with Imprinted Expression
Creators: name: Calaway, John D.
name: Pardo-Manuel de Villena, Fernando
name: Cambranis, Ezequiel C.
name: Hanson, Megan E.
name: Domínguez, José Ignacio
name: de la Casa-Esperon, Elena
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2012

description: Parent-of-origin differential DNA methylation has been associated with regulation of the preferential expression of paternal or maternal alleles of imprinted genes. Based on this association, recent studies have searched for parent-of-origin dependent differentially methylated regions in order to identify new imprinted genes in their vicinity. In a previous genome-wide analysis of mouse brain DNA methylation, we found a novel differentially methylated region in a CpG island located in the last intron of the alpha 1 Actinin (Actn1) gene. In this region, preferential methylation of the maternal allele was observed; however, there were no reports of imprinted expression of Actn1. Therefore, we have tested if differential methylation of this region is common to other tissues and species and affects the expression of Actn1. We have found that Actn1 differential methylation occurs in diverse mouse tissues. Moreover, it is also present in other murine rodents (rat), but not in the orthologous human region. In contrast, we have found no indication of an imprinted effect on gene expression of Actn1 in mice: expression is always biallelic regardless of sex, tissue type, developmental stage or isoform. Therefore, we have identified a novel parent-of-origin dependent differentially methylated region that has no apparent association with imprinted expression of the closest genes. Our findings sound a cautionary note to genome-wide searches on the use of differentially methylated regions for the identification of imprinted genes and suggest that parent-of-origin dependent differential methylation might be conserved for functions other that the control of imprinted expression.
Identification of natural marine compounds as potential inhibitors of CDK2 using molecular docking and molecular dynamics simulation approach
Creators: name: Ahmad, Basharat
name: Saeed, Aamir
name: Castrosanto, Melvin A.
name: Zia, Muhammad Amir
name: Farooq, Umar
name: Abbas, Zaheer
name: Khan, Sara
Publisher: name: Taylor & Francis
Year: 2022
Subjects: Biophysics
Biochemistry
Pharmacology
Chemical Sciences not elsewhere classified
Biological Sciences not elsewhere classified
Cancer

description: The multifunctional enzyme cyclin-dependent kinase 2 (CDK2) protein is essential for cell proliferation, transcription and modulation of the cell cycle. There is a dysfunction that is connected to various diseases, such as cancer, making it an important treatment target in oncology and beyond. The goal of this study is to identify novel CDK2 ATP binding site inhibitors using in silico drug designing. To find competitive inhibitors for the ATP site, molecular docking, molecular dynamics (MD) simulation and free-binding energy calculations were used. Natural compounds retrieved from marine sources (fungi and algae) were docked against protein, and the best-binding compounds were further evaluated using MD simulations. LIG1, LIG2 and LIG3 (ΔGPB = −19.98, −15.82 and −12.98 kcal/mol, respectively) were placed in the top positions based on their overall binding energy calculated using MMPBSA approach. Stability of the complexes was confirmed by carefully analyzing the rmsd and rmsf patterns retrieved from the MD trajectories. Several residues and areas (Leu124, Val123, Phe80, Leu83, Glu81, Arg 126, Asn132, Leu134, Gln131, Lys88 and Glu195) appear to be critical for inhibitor retention across the active pocket, according to RMSD and RMSF. The dynamics of the ligands inside the active pocket were mapped using principle component analysis. It has been observed that LIG1-3 appear to be the best possible inhibitors due to their high binding energies, interaction pattern and retention inside the active pocket. Communicated by Ramaswamy H. Sarma
Nonequilibrium Spin Noise and Noise of Susceptibility
Creators: name: Schad, Pablo
name: Narozhny, Boris N.
name: Schön, Gerd
name: Shnirman, Alexander
Publisher: name: arXiv
Year: 2014
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We analyze out-of-equilibrium fluctuations in a driven spin system and relate them to the noise of spin susceptibility. In the spirit of the linear response theory we further relate the noise of susceptibility to a $4$-spin correlation function in equilibrium. We show that, in contrast to the second noise (noise of noise), the noise of susceptibility is a direct measure of non-Gaussian fluctuations in the system. We develop a general framework for calculating the noise of susceptibility using the Majorana representation of spin-1/2 operators. We illustrate our approach by a simple example of non-interacting spins coupled to a dissipative (Ohmic) bath.
description: 10 pages, 4 figures
Knowledge and Acceptability of Pap Smears, Self-Sampling and HPV Vaccination among Adult Women in Kenya
Creators: name: Kiarie, James N.
name: Gatuguta, Ann
name: Rositch, Anne F.
name: Choi, Robert Y.
name: Manyara, Lucy
name: Bosire, Rose
name: Mackelprang, Romel D.
name: Guthrie, Brandon L.
name: Farquhar, Carey
name: Smith, Jennifer S.
Publisher: name: The University of North Carolina at Chapel Hill University Libraries
Year: 2012

description: ObjectivesOur study aimed to assess adult women’s knowledge of human papillomavirus (HPV) and cervical cancer, and characterize their attitudes towards potential screening and prevention strategies.MethodsWomen were participants of an HIV-discordant couples cohort in Nairobi, Kenya. An interviewer-administered questionnaire was used to obtain information on sociodemographic status, and sexual and medical history at baseline and on knowledge and attitudes towards Pap smears, self-sampling, and HPV vaccination at study exit.ResultsOnly 14% of the 409 women (67% HIV-positive; median age 29 years) had ever had a Pap smear prior to study enrollment and very few women had ever heard of HPV (18%). Although most women knew that Pap smears detect cervical cancer (69%), very few knew that routine Pap screening is the main way to prevent ICC (18%). Most women reported a high level of cultural acceptability for Pap smear screening and a low level of physical discomfort during Pap smear collection. In addition, over 80% of women reported that they would feel comfortable using a self-sampling device (82%) and would prefer at-home sample collection (84%). Nearly all women (94%) reported willingness to be vaccinated to prevent cervical cancer if offered at no or low cost.ConclusionsThese findings highlight the need to educate women on routine use of Pap smears in the prevention of cervical cancer and demonstrate that vaccination and self-sampling would be acceptable modalities for cervical cancer prevention and screening.
A Laplace transform approach to find the exact solution of the N-dimensional Schrödinger equation with Mie-type potentials and construction of Ladder operators
Creators: name: Das, Tapas
Publisher: name: arXiv
Year: 2014
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: The second order N-dimensional Schrodinger equation with Mie-type potentials is reduced to a first order differential equation by using the Laplace transformation. Exact bound state solutions are obtained using convolution or Faltungs theorem. The Ladder operators are also constructed for the Mie-type potentials in N- dimensions. Lie algebra associated with these operators are studied and it is found that they satisfy the commutation relations for the SU(1,1) group.
description: 12 pages