cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
A Comparative study of outlier detection of Yamuna River Delhi India by Classical Statistics and Statistical Quality Control
Creators: name: Ahmad, Mohammad
name: Ahteshamul Haq
name: Kalam, Abdul
name: Shah, Sayed Kifayat
Publisher: name: Reliability: Theory & Applications
Year: 2022
Subjects: Classical Statistical Analysis
Statistical Process Control
Outlier
Yamuna Water Quality

description: Water quality control aids in preventing pollution, public health, and the preservation and improvement of the biological integrity of water bodies. Water quality involves many variables and observations, some of which are outside of the acceptable range. An observation that apart from the rest of the data or looks diverge from other observation of the sample in which it occurs. In this paper, we proposed two methodologies for detecting outliers for the Yamuna River water quality data with three variables Chemical Oxygen Demand (COD), Bio-chemical Demand Oxygen (BOD) and PH, at three different locations did comparison of these two methodologies. These two methodologies are based on Descriptive Statistics and Statistical Process Control (SPC). A few outliers are present in the data. The outcome shows how far the outlier detection method has progressed and better knowledge of the various outlier methodologies and provide a clear path for future outlier detection methods for researchers.
CFL light promoted one-pot synthesis of pyrano[3,2-c]chromen-5(4H)-ones
Creators: name: Ankusab Noorahmadsab Nadaf
name: Kalegowda Shivashankar
Publisher: name: Taylor & Francis
Year: 2018
Subjects: subject: Biochemistry
subject: Cell Biology
subject: Genetics
subject: FOS: Biological sciences
subject: Neuroscience
subject: Biotechnology
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: 80699 Information Systems not elsewhere classified
subject: FOS: Computer and information sciences
subject: Marine Biology
subject: Inorganic Chemistry
subject: 111714 Mental Health
subject: FOS: Health sciences
subject: 110309 Infectious Diseases

description: An eco-friendly synthesis of pyrano[3,2-c]chromen-5(4H)-one derivatives was conducted by the condensation of 4-hydroxycoumarins, aromatic aldehydes, and acetophenones. Clean profile, excellent yield, ambient temperature, and use of visible light intensity instead of catalyst are the attractive features of this method.
The EBLM project III. A Saturn-size low-mass star at the hydrogen-burning limit
Creators: name: von Boetticher, Alexander
name: Triaud, Amaury H. M. J.
name: Queloz, Didier
name: Gill, Sam
name: Lendl, Monika
name: Delrez, Laetitia
name: Anderson, David R.
name: Cameron, Andrew Collier
name: Faedi, Francesca
name: Gillon, Michaël
name: Chew, Yilen Gómez Maqueo
name: Hebb, Leslie
name: Hellier, Coel
name: Jehin, Emmanuël
name: Maxted, Pierre F. L.
name: Martin, David V.
name: Pepe, Francesco
name: Pollacco, Don
name: Ségransan, Damien
name: Smalley, Barry
name: Udry, Stéphane
name: West, Richard
Publisher: name: arXiv
Year: 2017
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: FOS: Physical sciences

description: We report the discovery of an eclipsing binary system with mass-ratio q $\sim$ 0.07. After identifying a periodic photometric signal received by WASP, we obtained CORALIE spectroscopic radial velocities and follow-up light curves with the Euler and TRAPPIST telescopes. From a joint fit of these data we determine that EBLM J0555-57 consists of a sun-like primary star that is eclipsed by a low-mass companion, on a weakly eccentric 7.8-day orbit. Using a mass estimate for the primary star derived from stellar models, we determine a companion mass of $85 \pm 4 M_{\rm Jup}$ ($0.081M_{\odot}$) and a radius of $0.84^{+0.14}_{-0.04} R_{\rm Jup}$ ($0.084 R_{\odot}$) that is comparable to that of Saturn. EBLM J0555-57Ab has a surface gravity $\log g_\mathrm{2} = 5.50^{+0.03}_{-0.13}$ and is one of the densest non-stellar-remnant objects currently known. These measurements are consistent with models of low-mass stars.
description: Accepted for publication in A&A, 6 pages, 5 figures
title: ADCO, Cartulaire des Dominicains de Dijon (1286), Cart. 221 (H 53), 170 folios, f. 0166
Creators: name: de la Côte d'Or, Archives départementales
name: Archives Départementales De La Côte-D'Or
name: Petot, Frédérique
name: Petot, Frédéric
name: Projet CBMA
name: CG21/F.PETOT/2012
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020
Subjects: subject: Corpus Burgundiae Medii Aevi
subject: Chartes de la Bourgogne du Moyen Âge
subject: cartulaire
subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris

description: Cartulaire des Dominicains de Dijon (1286), Archives départementales de la Côte-d'Or, Cart. 221 (H 53), 170 folios. Numérisation en mode image.
description: Relation: http://www.cbma-project.eu/
description: Bibliographic citation: Cartulaire des Dominicains de Dijon (1286), Archives départementales de la Côte-d'Or, Cart. 221 (H 53), 170 folios, f. 0166, in Projet CBMA - Corpus Burgundiae Medii Aevi [Ressource en ligne], https:// manuscrits.cbma-project.eu/
description: Provenance: https://catalogue.bnf.fr/ark:/12148/cb15250518p
description: Provenance: http://www.idref.fr/02643413X/id
description: Provenance: https://www.geonames.org/6453767
description: Provenance: Dijon
description: Provenance: http://www.wikidata.org/entity/Q7003
A Discrete Analogue of Teissier Distribution: Properties and Classical Estimation with Application to Count Data
Creators: name: Bhupendra Singh
name: Varun Agiwal
name: Nayal, Amit Singh
name: Abhishek Tyagi
Publisher: name: Reliability: Theory & Applications
Year: 2022
Subjects: COVID-19
Discrete Teissier distribution
Maximum Likelihood estimation
Method of moment estimation
Least square estimation

description: This article presents a novel discrete distribution with a single parameter, called the discrete Teissier distribution. It is noted that this model, with one parameter, offers a high degree of fitting flexibility as it is capable of modelling equi-, over-, and under-dispersed, positive and negative skewed, and increasing failure rate datasets. In this article, we have explored its numerous essential distributional features such as recurrence relation, moments, generating function, index of dispersion, coefficient of variation, entropy, survival and hazard rate functions, mean residual life and mean past life functions, stress-strength reliability, order statistics, and infinite divisibility. The classical point estimators have been developed using the method of maximum likelihood, method of moment, and least-squares estimation, whilst an interval estimation based on Fisher’s information has also been presented. Finally, the applicability of the suggested discrete model has been demonstrated using two complete real datasets.
Simulated sensitivity of secondary organic aerosol in the South Coast Air Basin of California to nitrogen oxides and other chemical parameters
Creators: name: Griffin, Robert J.
name: Dawson, Matthew L.
name: Dabdub, Donald
Publisher: name: Taylor & Francis
Year: 2018
Subjects: subject: Biophysics
subject: Biochemistry
subject: Genetics
subject: FOS: Biological sciences
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: Plant Biology

description: Sensitivity of secondary organic aerosol (SOA) concentrations in the South Coast Air Basin (SoCAB) of California to nitrogen oxide (NOx) emission is simulated using gas-phase chemistry and gas-particle partitioning modules. These modules are implemented into a three-dimensional air quality model applied for high-pollution summer meteorology and 2008 emissions. To test sensitivity, NOx emissions in all locations and at all times are scaled by factors ranging from 0.1 to 10.0 in separate model runs. The basin-wide average SOA concentration exhibits a ‘turnover’ NOx emission multiplicative factor, above and below which the average SOA concentration decreases. For the entire SoCAB, this critical NOx emission factor is ∼0.3; while the magnitude of SOA concentrations changes with time, this peak value (∼0.2–0.3) appears to be relatively independent of the hour of the simulated day. When considering individual locations within the SoCAB, this peak factor shows a slightly broader range. Projected emissions for 2023 indicate a decrease in basin-average SOA concentration; the response at individual locations, however, can be either positive or negative, indicating the need for location-specific considerations. Ensembles of module simulations based on parameter values selected using efficient sampling techniques (Latin Hypercube method) are used to identify parameters to which SOA predictions are significantly sensitive. Total SOA predictions are most sensitive (in no particular order) to concentrations of O3, unsaturated species formed from the gas-phase oxidation of monoaromatic compounds, and substituted products from long-chain alkane oxidation. Secondary inorganic aerosol species, likely through influencing aerosol liquid water, control at least partially the formation of SOA upwind. In addition, the rate at which unsaturated bicyclic oxidation products of monoaromatic compounds are oxidized by hydroxyl radical impacts significantly SOA prediction. These findings emphasize the need for consideration of long-chain alkanes and monoaromatic species when designing emission control strategies. © 2018 American Association for Aerosol Research
Effective holographic models for QCD: glueball spectrum and trace anomaly
Creators: name: Ballon-Bayona, Alfonso
name: Boschi-Filho, Henrique
name: Mamani, Luis A. H.
name: Miranda, Alex S.
name: Zanchin, Vilson T.
Publisher: name: arXiv
Year: 2017
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: High Energy Physics - Lattice (hep-lat)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We investigate effective holographic models for QCD arising from five dimensional Dilaton-Gravity. The models are characterized by a dilaton with a mass term in the UV, dual to a CFT deformation by a relevant operator, and quadratic in the IR. The UV constraint leads to the explicit breaking of conformal symmetry whereas the IR constraint guarantees linear confinement. We propose semi-analytic interpolations between the UV and the IR and obtain a spectrum for scalar and tensor glueballs consistent with lattice QCD data. We use the glueball spectrum as a physical constraint to find the evolution of the model parameters as the mass term goes to zero. Finally, we reproduce the universal result for the trace anomaly of deformed CFTs and propose a dictionary between this result and the QCD trace anomaly. A nontrivial consequence of this dictionary is the emergence of a $β$ function similar to the two-loop perturbative QCD result.
description: 42 pages, 12 figures, 3 tables V2: 11 references added
title: Διεθνή λογιστικά πρότυπα
Creators: name: Dimitras, Avgoustinos
name: Vrentzou, Eleni
Publisher: name: Kallipos, Open Academic Editions
Year: 2016
Subjects: ΔΙΕΘΝΗ ΛΟΓΙΣΤΙΚΑ ΠΡΟΤΥΠΑ
ΓΕΝΙΚΟ ΛΟΓΙΣΤΙΚΟ ΣΧΕΔΙΟ
ΕΓΛΣ
ΔΙΕΘΝΗ ΠΡΟΤΥΠΑ ΧΡΗΜΑΤΟΟΙΚΟΝΟΜΙΚΗΣ ΑΝΑΦΟΡΑΣ
IAS
IFRS
Greek Gaap

description: Το βιβλίο έχει ως στόχο να παρουσιάσει τα χρησιμοποιούμενα Διεθνή Λογιστικά Πρότυπα στη σύγχρονη εξέλιξή τους ως Διεθνή Πρότυπα Χρηματοοικονομικής Αναφοράς. Το βιβλίο απευθύνεται σε σπουδαστές που έχουν ήδη βασική γνώση της λογιστικής και τονίζει τις διαφορές από τα υπάρχοντα εθνικά λογιστικά πρότυπα (ΕΓΛΣ). Η δομή του βιβλίου επιτρέπει την αναζήτηση με βάση τη λογιστική έννοια στην οποία αναφέρονται τα πρότυπα και όχι με βάση τα ίδια τα πρότυπα, ώστε να μπορεί να αποτελέσει ταυτόχρονα και πολύτιμο εργαλείο για τον επαγγελματία λογιστή που είναι συχνά ο αναγνώστης των βιβλίων του είδους. Επίσης, το βιβλίο παραπέμπει στις πρωτότυπες πηγές του υλικού που αναφέρονται σε αυτό (κανονισμοί, οδηγίες, νόμοι κλπ). Τέλος με λυμένα παραδείγματα και ασκήσεις αλλά και ερωτήσεις πολλαπλών απαντήσεων στοχεύει στην εμπέδωση του υλικού από τον αναγνώστη.
Analysis of Some Proposed Replacement Policies
Creators: name: Tijjani A. Waziri
name: Yakasai, Bashir M.
name: Rahama S. Abdullahi
Publisher: name: Reliability: Theory & Applications
Year: 2022
Subjects: failure rate
proposed policies
multi-unit systems

description: This paper is coming up with an age replacement cost model under the standard age replacement policy (SARP) for some multi-unit systems. Furthermore, some two other age replacement cost models will be constructed for the multi-unit systems under some proposed policies (policy A and policy B). For simple illustration of the proposed age replacement cost models under SARP, policy A and policy B, numerical example was provided, and the result obtained will be beneficial to engineers, maintenance managers and plant management, in selecting and applying the optimal preventive maintenance policies.
Simulated Sensitivity of Secondary Organic Aerosol in the South Coast Air Basin of California to Nitrogen Oxides and Other Chemical Parameters
Creators: name: Griffin, Robert J.
name: Dawson, Matthew L.
name: Dabdub, Donald
Publisher: name: Taylor & Francis
Year: 2018
Subjects: subject: Biophysics
subject: Biochemistry
subject: Genetics
subject: FOS: Biological sciences
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Ecology
subject: Plant Biology

description: Sensitivity of secondary organic aerosol (SOA) concentrations in the South Coast Air Basin (SoCAB) of California to nitrogen oxide (NOx) emission is simulated using gas-phase chemistry and gas-particle partitioning modules. These modules are implemented into a three-dimensional air quality model applied for high-pollution summer meteorology and 2008 emissions. To test sensitivity, NOx emissions in all locations and at all times are scaled by factors ranging from 0.1 to 10.0 in separate model runs. The basin-wide average SOA concentration exhibits a ‘turnover’ NOx emission multiplicative factor, above and below which the average SOA concentration decreases. For the entire SoCAB, this critical NOx emission factor is ∼0.3; while the magnitude of SOA concentrations changes with time, this peak value (∼0.2–0.3) appears to be relatively independent of the hour of the simulated day. When considering individual locations within the SoCAB, this peak factor shows a slightly broader range. Projected emissions for 2023 indicate a decrease in basin-average SOA concentration; the response at individual locations, however, can be either positive or negative, indicating the need for location-specific considerations. Ensembles of module simulations based on parameter values selected using efficient sampling techniques (Latin Hypercube method) are used to identify parameters to which SOA predictions are significantly sensitive. Total SOA predictions are most sensitive (in no particular order) to concentrations of O3, unsaturated species formed from the gas-phase oxidation of monoaromatic compounds, and substituted products from long-chain alkane oxidation. Secondary inorganic aerosol species, likely through influencing aerosol liquid water, control at least partially the formation of SOA upwind. In addition, the rate at which unsaturated bicyclic oxidation products of monoaromatic compounds are oxidized by hydroxyl radical impacts significantly SOA prediction. These findings emphasize the need for consideration of long-chain alkanes and monoaromatic species when designing emission control strategies.
ANALYSIS OF THE PRIMARY FACTORS AFFECTING THE MOST FATAL AVIATION ACCIDENTS: A MACHINE LEARNING APPROACH
Creators: name: Tüzün Tolga İNan
name: İNan, Neslihan Gökmen
Publisher: name: Reliability: Theory & Applications
Year: 2022
Subjects: machine learning
primary causes
fatal aviation accidents
classification of survivor/non-survivor passengers
multivariate statistical analysis

description: The safety concept is primarily examined in this study considering the most fatal accidents in aviation history with human, technical, and sabotage/terrorism factors. Although the aviation industry was started with the first engine flight in 1903, the safety concept has been examined since the beginning of the 1950s. However, the safety concept was firstly examined with technical factors, in the late 1970s, human factors have started to analyze. Despite these primary causes, there have other factors which could have an impact on accidents. So, the purpose of the study is to determine the affecting factors of the most fatal 100 accidents including aircraft type, distance, flight phase, primary cause, number of total passengers, and time period by classifying survivor/non-survivor passengers. Logistic regression and discriminant analysis are used as multivariate statistical analyses to compare with the machine learning approaches in terms of showing the algorithms’ robustness. Machine learning techniques have better performance than multivariate statistical methods in terms of accuracy (0.910), false-positive rate (0.084), and false-negative rate (0.118). In conclusion, flight phase, primary cause, and total passenger numbers are found as the most important factors according to machine learning and multivariate statistical models for classifying the accidents’ survivor/non-survivor passengers.
Practical preparation of methyl vinyl ethers through the direct coupling of ketones with CHCl2OMe promoted by Mg/TiCl4/THF
Creators: name: Bakthavachalam Ananthan
name: Tu-Hsin Yan
Publisher: name: Taylor & Francis
Year: 2018
Subjects: subject: Biophysics
subject: Biochemistry
subject: Genetics
subject: FOS: Biological sciences
subject: Pharmacology
subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences
subject: Cancer
subject: Science Policy
subject: 111714 Mental Health
subject: FOS: Health sciences

description: Herein we utilized a new methylene carbenoid as an extremely simple and highly practical reagent for the preparation of vinyl ether with good to excellent yield. This method efficiently effects methoxymethylenation or vinyl ether formation of enolizable, nonenolizable, and sterically hindered ketones. The complexation of Ti–Mg–CHOMe was facilitated, presumably, by THF dramatically increasing the feasibility; and scope of this protocol is to produce vinyl ethers which can be used as convenient building blocks for the preparation of biologically useful molecules.
One pixel attack for fooling deep neural networks
Creators: name: Su, Jiawei
name: Vargas, Danilo Vasconcellos
name: Kouichi, Sakurai
Publisher: name: arXiv
Year: 2017
Subjects: subject: Machine Learning (cs.LG)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: Recent research has revealed that the output of Deep Neural Networks (DNN) can be easily altered by adding relatively small perturbations to the input vector. In this paper, we analyze an attack in an extremely limited scenario where only one pixel can be modified. For that we propose a novel method for generating one-pixel adversarial perturbations based on differential evolution (DE). It requires less adversarial information (a black-box attack) and can fool more types of networks due to the inherent features of DE. The results show that 67.97% of the natural images in Kaggle CIFAR-10 test dataset and 16.04% of the ImageNet (ILSVRC 2012) test images can be perturbed to at least one target class by modifying just one pixel with 74.03% and 22.91% confidence on average. We also show the same vulnerability on the original CIFAR-10 dataset. Thus, the proposed attack explores a different take on adversarial machine learning in an extreme limited scenario, showing that current DNNs are also vulnerable to such low dimension attacks. Besides, we also illustrate an important application of DE (or broadly speaking, evolutionary computation) in the domain of adversarial machine learning: creating tools that can effectively generate low-cost adversarial attacks against neural networks for evaluating robustness.
A New Life Time Distribution: Burr III Modified Weibull Distribution And Its Application in Burn in Process
Creators: name: Deepthy G.S.
name: Nicy Sebastian
Publisher: name: Reliability: Theory & Applications
Year: 2022
Subjects: Burr III distribution
Modified Weibull distribution
maximum likelihood estimation

description: In burn-in analysis, models with a bathtub-shaped hazard rate and a bimodal density function are inevitable.This work focusses on a new five parameter distribution called Burr III Modified Weibull distribution which can be used to design burn-in procedures and preventative maintenance for incurable devices. The statistical properties such as quantile function, hazard rate function and order statistics have been discussed.The model parameters are estimated using the maximum likelihood estimation technique, and the performance of the proposed model is evaluated using the simulation technique. Finally, a real data set is presented to demonstrate the model’s utility and its application in the burn-in process.
Exploring the Dose-Response Relationship Between Per-Session Resistance Training Volume, Muscle Hypertrophy, and Strength Gain: A Series of Meta-Regressions
Creators: name: Remmert, Jacob
Publisher: name: Open Science Framework
Year: 2023
Subjects: subject: Kinesiology
subject: Sports Sciences
subject: Exercise Science
subject: Life Sciences
subject: Medicine and Health Sciences

description: We will perform a meta-analysis on the adaptations (skeletal muscle hypertrophy and strength) following resistance training with various per-session volume (number of sets) to explore the dose response between per-session training volume and adaptations.
Optimal requirements for determining frame ties using VLBI observations to satellites
Creators: name: Wolf, Helene
name: Böhm, Johannes
Publisher: name: Zenodo
Year: 2024

description: This presentation shows the best requirements for estimating station coordinates using VLBI observations to Galileo satellites. The plan to equip some Galileo satellites with VLBI transmitters raises three main questions: How many satellites need to be equipped with a VLBI transmitter (VT) in the Galileo space segment to ensure station coordinates are sufficiently accurate. How should these satellites be spread across the three planes of Galileo and what is the best balance between observing satellites and quasars within a schedule.
The Impact of Baryons on the Large-Scale Structure of the Universe
Creators: name: Cui, Weiguang
name: Zhang, Youcai
Publisher: name: arXiv
Year: 2017
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: Numerical simulations play an important role in current astronomy researches. Previous dark-matter-only simulations have represented the large-scale structure of the Universe. However, nowadays, hydro-dynamical simulations with baryonic models, which can directly present realistic galaxies, may twist these results from dark-matter-only simulations. In this chapter, we mainly focus on these three statistical methods: power spectrum, two-point correlation function and halo mass function, which are normally used to characterize the large-scale structure of the Universe. We review how these baryon processes influence the cosmology structures from very large scale to quasi-linear and non-linear scales by comparing dark-matter-only simulations with their hydro-dynamical counterparts. At last, we make a brief discussion on the impacts coming from different baryon models and simulation codes.
description: 14 pages, 8 figures. Chapter 7 for the book "Trends in Modern Cosmology". Comments are welcome. In this new version (V1), some citation errors are corrected and an additional subsection is included compared to the published version "https://www.intechopen.com/books/trends-in-modern-cosmology/the-impact-of-baryons-on-the-large-scale-structure-of-the-universe" V(2): correct references
A new method for generating distributions with an application to Weibull distribution
Creators: name: M.A. Lone
name: I.H. Dar
name: T.R. Jan
Publisher: name: Reliability: Theory & Applications
Year: 2022
Subjects: Weibull distribution
hazard rate function
survival function
mean residual life
Maximum likelihood estimation

description: In the literature of probability theory, it has been noticed that the classical probability distributions do not furnish an ample fit and fail to model the real-life data with a non-monotonic hazard rate behaviour. To overcome this limitation, researchers are working in the refinement of these distributions. In this paper, a new method has been presented to add an extra parameter to a family of distributions for more flexibility and potentiality. We have specialized this method to two-parametric Weibull distribution. A comprehensive mathematical treatment of the new distribution is provided. We provide closed-form expressions for the density, cumulative distribution, reliability function, hazard rate function, the r-th moment, moment generating function, and also the order statistics. Moreover, we discussed mean residual life time, stress strength reliability and maximum likelihood estimation. The adequacy of the proposed distribution is supported by using two real lifetime data sets as well as simulated data.
Kerr-Newman-AdS Black Hole Surrounded by Perfect Fluid Matter in Rastall Gravity
Creators: name: Xu, Zhaoyi
name: Hou, Xian
name: Gong, Xiaobo
name: Wang, Jiancheng
Publisher: name: arXiv
Year: 2017
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: The Rastall gravity is the modified Einstein general relativity, in which the energy-momentum conservation law is generalized to $T^{μν}_{~~;μ}=λR^{,ν}$. In this work, we derive the Kerr-Newman-AdS (KN-AdS) black hole solutions surrounded by the perfect fluid matter in the Rastall gravity using the Newman-Janis method and Mathematica package. We then discuss the black hole properties surrounded by two kinds of specific perfect fluid matter, the dark energy ($ω=-2/3$) and the perfect fluid dark matter ($ω=-1/3$). Firstly, the Rastall parameter $κλ$ could be constrained by the weak energy condition and strong energy condition. Secondly, by analyzing the number of roots in the horizon equation, we get the range of the perfect fluid matter intensity $α$, which depends on the black hole mass $M$ and the Rastall parameter $κλ$. Thirdly, we study the influence of the perfect fluid dark matter and dark energy on the ergosphere. We find that the perfect fluid dark matter has significant effects on the ergosphere size, while the dark energy has smaller effects. Finally, we find that the perfect fluid matter does not change the singularity of the black hole. Furthermore, we investigate the rotation velocity in the equatorial plane for the KN-AdS black hole with dark energy and perfect fluid dark matter. We propose that the rotation curve diversity in Low Surface Brightness galaxies could be explained in the framework of the Rastall gravity when both the perfect fluid dark matter halo and the baryon disk are taken into account.
description: 23 pages, 4 figures
Choosing Parameter Values for a Geometric CUSUM Chart for Detecting an Upward Shift in a Proportion
Creators: name: Bourke, Patrick D.
Publisher: name: Taylor & Francis
Year: 2018
Subjects: subject: Biotechnology
subject: 19999 Mathematical Sciences not elsewhere classified
subject: FOS: Mathematics
subject: Developmental Biology
subject: Science Policy

description: This paper considers the task of providing practical advice to quality engineers and practitioners on the choice of values for the two parameters of a geometric CUSUM control chart. This CUSUM chart was developed to enable the detection of sudden shifts from an acceptable level for a proportion (p) such as fraction nonconforming. In the first part of the paper, tables are presented listing recommended parameter-choices for each of 18 in-control levels for p in the range (0.04 to 0.001) for detection of each of five sizes of upward shift. In the second part of the paper, some empirical relationships among the parameter-values are identified. These relationships are used with interpolation to design geometric CUSUM schemes for any in-control level (pa) of p within the range covered by the tables, and with extrapolation for levels of pa as low as 0.0001. Because of the equivalence between a geometric CUSUM and a Bernoulli CUSUM, the tables and the proposed methods of interpolation and extrapolation also provide assistance in the design of a Bernoulli CUSUM chart.
A New Mixed Poisson Distribution for Over-dispersed Count Data: Theory and Applications
Creators: name: Ramajeyam Tharshan
name: Pushpakanthie Wijekoon
Publisher: name: Reliability: Theory & Applications
Year: 2022
Subjects: over-dispersion
mixed Poisson distribution
Lindley distribution
Quasi Lindley distribution
goodness of fit

description: In this paper, an alternative mixed Poisson distribution is proposed by amalgamating Poisson distribution and a modification of the Quasi Lindley distribution. Some fundamental structural properties of the new distribution, namely the shape of the distribution and moments and related measures, are explored. It was noted that the new distribution to be either unimodal or bimodal, and over-dispersed. Further, it has a tendency to accommodate various right tail behaviors and variance-to-mean ratios. Its unknown parameter estimation by using the maximum likelihood estimation method is examined by a simulation study based on the asymptotic theory. Finally, two real-world data sets are used to illustrate the flexibility and potentiality of the new distribution.
Additional file 10 of Common DNA sequence variation influences 3-dimensional conformation of the human genome
Creators: name: Gorkin, David U.
name: Qiu, Yunjiang
name: Hu, Ming
name: Fletez-Brant, Kipper
name: Liu, Tristin
name: Schmitt, Anthony D.
name: Noor, Amina
name: Chiou, Joshua
name: Gaulton, Kyle J.
name: Sebat, Jonathan
name: Li, Yun
name: Hansen, Kasper D.
name: Ren, Bing
Publisher: name: figshare
Year: 2020
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 10. Review history.
title: The role of Mirabilia in literature produced by courtier clerics in 12th century England
Creators: name: Smoczyk-Jackowiak, Idalia
Publisher: name: Polilog Studia Neofilologiczne Nr 9
Year: 2019

description: The role of mirabilia in literature produced by courtier clerics in 12th century England The purpose of this paper is to prove that the marvelous phenomena described in the works of Gerald of Wales and Walter Map played a double, religious and political role. This twofold role of mirabilia resulted from the ambiguous position of courtier clerics, who seemed to exist on the borderline between the religious and secular sphere. Both, Gerald of Wales and Walter Map, were archdeacons and strove to obtain episcopal nominations. However, in addition to being clergymen, they pursued a secular career on the royal court. As a result, they wrote texts in which they used various strategies to convey a religious, Christian perspective and to secure political interests of the House of Anjou. Mirabilia proved to be a useful tool helping them to achieve both aims. Thus, they strove to rewrite old, pagan stories of werewolves, vampires or revenants from the standpoint of the Catholic religion, adapting them to the official doctrine, or at least weakening their subversive character. However, apart from the religious role of marvels, their political function seems to be equally significant. They served as a useful tool for political propaganda: for legitimization of the rule of the new Plantagenet dynasty and justification of conquest of new territories. Finally, the inclusion of wonders from the Celtic “fringes of the world”, that is from Wales and Ireland, into courtly texts tied those territories more closely to the Angevin Empire.
description: Polilog. Studia Neofilologiczne, Nr 9 (2019): Polilog. Studia Neofilologiczne
title: Jacques Leibowitch "Il est minuit tantôt Docteur Clouzeau-Columbo … le temps de… "
Creators: name: Leibowitch, Jacques
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020

description: Source: http://www.calames.abes.fr/pub/ms/Calames-2019311113576743
description: created: start=1975;end=2018
Extraction of $|V_{cb}|$ from $B\to D^{(*)}\ellν_\ell$ and the Standard Model predictions of $R(D^{(*)})$
Creators: name: Jaiswal, Sneha
name: Nandi, Soumitra
name: Patra, Sunando Kumar
Publisher: name: arXiv
Year: 2017
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: We extract $|V_{cb}|$ from the available data in the decay $B \to D^{(*)}\ellν_{\ell}$. Our analysis uses the $q^2(w)$ binned differential decay rates in different subsamples of $B\to D\ellν_\ell$ ($\ell = e, μ$), while for the decay $B\to D^*\ellν_\ell$, the unfolded binned differential decay rates of four kinematic variables including the $q^2$ bins have been used. In the CLN and BGL parameterizations of the form factors, the combined fit to all the available data along with their correlations yields $|V_{cb}| = (39.77 \pm 0.89)\times 10^{-3}$ and $(40.90 \pm 0.94)\times 10^{-3}$ respectively. In these fits, we have used the inputs from lattice and light cone sum rule (LCSR) along with the data. Using our fit results and the HQET relations (with the known corrections included) amongst the form factors, and parameterizing the unknown higher order corrections (in the ratios of HQET form factors) with a conservative estimate of the normalizing parameters, we obtain $R(D^{*}) = 0.259 \pm 0.006$ (CLN) and $R(D^*) = 0.257 \pm 0.005$ (BGL).
description: 8 pages, 2 captioned figures (5 figures and detailed discussion added, accepted for publication in JHEP)
A New Reliability Model and Applications
Creators: name: M., Manoharan
name: Kavya, P.
Publisher: name: Reliability: Theory & Applications
Year: 2022
Subjects: Parsimonious model Lifetime KM transformation Lomax distribution Decreasing failure rate

description: The Lomax or Pareto Type II distribution has a wide range of applications in many areas including reliability and life testing. In this paper, we modify the Lomax distribution using KM transformation to enhance the applicability of the Lomax distribution. The distribution introduced using KM transformation is parsimonious in parameter. Substituting the cumulative distribution function (cdf) of the Lomax distribution in KM transformation provides a new modified Lomax distribution. The behavior of hazard rate function is studied graphically and also theoretically using Glacer method. Its analytical properties are derived and parameters are estimated using maximum likelihood estimation method. We consider two real data sets to show the flexibility of the proposed model. The model proposed in this paper provides a better fit to the data sets compared to other well-known distributions given in this study.
A novel approach for constructing distributions with an example of the Rayleigh distribution
Creators: name: Aijaz Ahmad
name: Muzamil Jallal
name: Ahmad, Afaq
Publisher: name: Reliability: Theory & Applications
Year: 2022
Subjects: Log Exponentiated Transformation
Rayleigh distribution
Moments
reliability measures
maximum likelihood function

description: In this paper, we describe a novel technique for creating distributions based on logarithmic functions, which we referred the Log Exponentiated Transformation (LET). The LET technique is then applied to Rayleigh distributions, resulting in a new distribution known as the Log Exponentiated Rayleigh distribution (LERD). Several distributional properties of the formulated distribution have been discussed. The expressions for ageing properties have been derived and discussed explicitly. The behaviour of the pdf, cdf and hazard rate function has been illustrated through different graphs. The parameters are estimated through the technique of MLE. A simulation analysis was conducted to measure the effectiveness of all estimators. Eventually the versatility and the efficacy of the formulated distribution have been examined through real life data set.
A Novel Transformation: Based on Inverse Trigonometric Lindley Distribution
Creators: name: D. Kumar
name: P.K. Chaurasia
name: P. Kumar
name: A. Chaurasia
Publisher: name: Reliability: Theory & Applications
Year: 2022
Subjects: Lindley distribution
Renyi entropy
Moments
Maximum likelihood estimator
Simulation Study

description: As we see that the present era is directly depending upon various kinds of machines. In other words, we can say that we are fully surrounded by machines. Machines are assembled with many components and each component has its own importance. For proper functioning of a machine, these components should be up to date. Therefore, for smooth functioning, we have to make replacement of the component before its failure. In this present paper, we propose a new transformation which is purely based on inverse trigonometry with lindley distribution for the first time and so, named "Inverse Trigonometric Lindley Distribution". It find its various properties like survival function, hazard rate function, moments, conditional moments, order statistics, entropy measurement etc. Maximum likelihood estimator have also considered for estimation of parameter. To know the paternal behavior of the model, different real datasets have been considered. To understand the behavior of estimators at the long run, simulation study is being performed in detail.
A TWO NON-IDENTICAL UNIT PARALLEL SYSTEM WITH PRIORITY IN REPAIR AND CORRELATED LIFE TIMES
Creators: name: Chaudhary, Pradeep
name: Sharma, Anika
Publisher: name: Reliability: Theory & Applications
Year: 2022
Subjects: Transition probabilities
mean sojourn time
bi-variate exponential distribution
reliability
MTSF
availability
expected busy period of repairman
net expected profit

description: The paper analyses a two non-identical unit parallel system in respect of various measures of system effectiveness by using regenerative point techniques. It has been considered that the life times of both the units are correlated random variables and a single repairman is always available with the system to repair a failed unit.
A Family's Sacrifice and a Child's Memories
Creators: name: Project Team, Their Finest Hour
Publisher: name: University of Oxford
Year: 2024
Subjects: classificationCode: 430304
subject: British history
classificationCode: 430308
subject: European history (excl. British, classical Greek and Roman)
classificationCode: 430316
subject: International history

description: The contributor has stories about various family members. He last saw his father when he was ten months old, as his dad was in the Mediterranean and went to Africa, Egypt, and Sicily, and was then killed.As a child, he lived with Gran, his mother, and step-dad. His mother worked in a factory as a mechanic, and then in the War Office.
CONSTRUCTION OF LIFE TEST SAMPLING INSPECTION PLANS BY ATTRIBUTES BASED ON MARSHALL OLKIN EXTENDED EXPONENTIAL DISTRIBUTION
Creators: name: R. Vijayaraghavan
name: A. Pavithra
Publisher: name: Reliability: Theory & Applications
Year: 2022
Subjects: Life Test Sampling Plan
producer’s risk
Marshall Olkin Extended Exponential Distribution
Consumers risk
OC function
Reliability sampling

description: A life test is a random experiment conducted on the manufactured items such as electrical and electronic components for estimating their life time based on the inspection of randomly sampled items. Life time of the items is a random variable which follows a specific continuous-type distribution, called the lifetime distribution. Reliability sampling, which is one among the classifications of product control, deals with inspection procedures for sentencing one or more lots or batches of items submitted for inspection. In this paper, the concept of sampling plans for life tests involving two samples is introduced under the assumption that the life time random variable is modeled by Marshall Olkin extended exponential distribution. A procedure is developed for designing the optimum plan with minimum sample sizes when two points on the desired operating characteristic curve are prescribed to ensure protection to the producer and the consumer.
Costs of Age Replacement under Accelerated Life Testing with Censored Information
Creators: name: Intekhab Alam
name: Mohd Asif Intezar
name: Sharma, Lalit Kumar
name: Intezar, Mohammad Tariq
name: Aqsa Irfan
Publisher: name: Reliability: Theory & Applications
Year: 2022
Subjects: Accelerated Life Testing
Gompertz distribution
Warranty policy
Agereplacement
Type-I Censoring
Fisher Information matrix
Simulation Study

description: Accelerated life testing (ALTg) helps manufacturers to predict the various costs associated with the product under the warranty policy. The main aim of undertaking ALTg is the extended time of today’s manufactured goods, the small-time among design and make public, and the difficulty of analysis of items that are continuously used in ordinary environments. Hence ALTg is used to offer quick information about the life distribution of products. We describe how to propose and analyze the accelerated life testing plans to develop the excellence and reliability of the item for consumption. We also focus on finding the expected cost rate and the expected total cost for age replacement in the prorate rebate warranty plan. The problem is studied using constant stress, under the hypothesis that the life spans of the units follow the Gompertz distribution (GD) for predicting the cost of age replacement in the warranty plan. The asymptotic variance and covariance matrix, confidence intervals for parameters, and respective errors are also obtained. A simulation study is carried out to show the statistical properties of distribution parameters.
CRITICAL PATH INTERMS OF INTUITIONISTIC TRIANGULAR FUZZY NUMBERS USING MAXIMUM EDGE DISTANCE METHOD
Creators: name: S. Priyadharshini
name: G. Deepa
Publisher: name: Reliability: Theory & Applications
Year: 2022
Subjects: Critical path problem
Triangular fuzzy number
Intuitionistic Triangular Fuzzy Number
Acyclic network

description: We live in a contemporary world where successful project management strategies are complex to manipulate the projects for project managers and decision-makers. It is essential to pinpoint strategies so that managers can accomplish projects and polish off them within a predetermined period of time and resource restrain. This research assists us to detect the critical path in an acyclic network in terms of intuitionistic triangular fuzzy numbers, we have proposed the “maximum edge distance” method. Forward and backward algorithms are designed to find the optimal path for the proposed method. Numerical examples are also illustrated for the same. Verification is done using the path length ranking technique. Simulation results are included by the use of the C program and MATLAB. Finally, the comparison is made with the traditional forward and backward pass (existing method) technique to point out the conclusion.
Pseudo spectral collocation with Maxwell polynomials for kinetic equations with energy diffusion
Creators: name: Sanchez-Vizuet, Tonatiuh
name: Cerfon, Antoine J.
Publisher: name: arXiv
Year: 2017
Subjects: subject: Plasma Physics (physics.plasm-ph)
subject: Numerical Analysis (math.NA)
subject: Computational Physics (physics.comp-ph)
subject: FOS: Physical sciences
subject: FOS: Mathematics

description: We study the approximation and stability properties of a recently popularized discretization strategy for the speed variable in kinetic equations, based on pseudo spectral collocation on a grid defined by the zeros of a non-standard family of orthogonal polynomials called Maxwell polynomials. Taking a one-dimensional equation describing energy diffusion due to Fokker-Planck collisions with a Maxwell-Boltzmann background distribution as the test bench for the performance of the scheme, we find that Maxwell based discretizations outperform other commonly used schemes in most situations, often by orders of magnitude. This provides a strong motivation for their use in high-dimensional gyrokinetic simulations. However, we also show that Maxwell based schemes are subject to a non-modal time stepping instability in their most straightforward implementation, so that special care must be given to the discrete representation of the linear operators in order to benefit from the advantages provided by Maxwell polynomials.
title: Fiche d’identité de solde du soldat du 11e cuirassiers Yves Pérotin, imprimé 2, 27 août 1945
Creators: name: Officier Des Détails, 1re DFL Brigade Volante 11e Cuirassiers
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2022
Subjects: subject: Deuxième guerre mondiale
subject: formalités de démobilisation liquidation des états de service des combattants

description: Fiche d’identité de solde du soldat du 11e cuirassiers Yves Pérotin (ex-maquisard du Vercors Pothier), imprimé 2, Jargeau (Loiret), 27 août 1945
description: Source: GED Campus Condorcet Fonds Yves Pérotin CNRS-IHTP ARC 143 ; 3ARM_31
EFFECT OF PREPROCESSING IN HUMAN EMOTION ANALYSIS USING SOCIAL MEDIA STATUS DATASET
Creators: name: Komal Anadkat
name: Dr. Hiteishi Diwanji
name: Dr. Shahid Modasiya
Publisher: name: Reliability: Theory & Applications
Year: 2022
Subjects: Pre-processing
Emotion analysis
Feature extraction
classifiers
Count Vectors
TF-IFD

description: Emotion analysis using social media text is the emerging research area now a day. It helps the researcher to recognize the emotional state of the users and identify mental health-relevant problems like depression or anxiety, which may lead to suicide if not cured. The social media platforms like WhatsApp, Facebook, Instagram, etc. are widely used as these applications provide an affordable and reliable medium for transferring data, sharing thoughts, and even for routine informal communication. Social media status is normally analyzed to recognize the mood, emotion, thought process, or mental state of the individual as people generally share status for what they feel. On the other hand, pre-processing is the crucial step for any kind of text data analysis. In this paper, the social media status dataset is first pre-processed using various methods, given for feature extraction and classification purpose. For the machine learning approach, we have used count vectors and TFIDF techniques for extracting the different features of the data. Using count vector feature extraction accuracy achieved by pre-processed data is 68.90%, 69.33%, 70.59%, 64.95%, 69.33% for naïve Bayes, LDA, Random forest, SGD and MLP respectively. Similarly, using TF-IDF feature extraction accuracy achieved by pre-processed data is 65.76%, 69.96%, 68.49%, 65.96%, 70.80% for naïve Bayes, LDA, Random forest, SGD and MLP respectively. The experimental results show that preprocessing helps to improve the accuracy of the classifier and CNN outperforms the traditional approach and achieves 79% accuracy.