cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Additional file 1 of Depression among Bangladeshi diabetic patients: a cross-sectional, systematic review, and meta-analysis study
Creators: name: Al-Mamun, Firoj
name: Hasan, Mahmudul
name: Quadros, Shalini
name: Kaggwa, Mark Mohan
name: Mubarak, Mahfuza
name: Sikder, Md. Tajuddin
name: Hossain, Md. Shakhaoat
name: Muhit, Mohammad
name: Moonajilin, Mst. Sabrina
name: Gozal, David
name: Mamun, Mohammed A.
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Biotechnology
subject: Chemical Sciences not elsewhere classified
subject: Science Policy
subject: Mental Health
subject: Infectious Diseases
subject: FOS: Health sciences

description: Additional file 1.
Safeguarding NOMA Networks via Reconfigurable Dual-Functional Surface under Imperfect CSI
Creators: name: Wang, Wen
name: Ni, Wanli
name: Tian, Hui
name: Yang, Zhaohui
name: Huang, Chongwen
name: Wong, Kai-Kit
Publisher: name: arXiv
Year: 2022
Subjects: subject: Signal Processing (eess.SP)
subject: Information Theory (cs.IT)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: This paper investigates the use of the reconfigurable dual-functional surface to guarantee the full-space secure transmission in non-orthogonal multiple access (NOMA) networks. In the presence of eavesdroppers, the downlink communication from the base station to the legitimate users is safeguarded by the simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS), where three practical operating protocols, namely energy splitting (ES), mode selection (MS), and time splitting (TS), are studied. The joint optimization of power allocation, active and passive beamforming is investigated to maximize the secrecy energy efficiency (SEE), taking into account the imperfect channel state information (CSI) of all channels. For ES, by approximating the semi-infinite constraints with the S-procedure and general sign-definiteness, the problem is solved by an alternating optimization framework. Besides, the proposed algorithm is extended to the MS protocol by solving a mixed-integer non-convex problem. While for TS, a two-layer iterative method is proposed. Simulation results show that: 1) The proposed STAR-RIS assisted NOMA networks are able to provide up to 33.6\% higher SEE than conventional RIS counterparts; 2) TS and ES protocols are generally preferable for low and high power domain, respectively; 3) The accuracy of CSI estimation and the bit resolution power consumption are crucial to reap the SEE benefits offered by STAR-RIS.
description: This paper has been accepted by the IEEE Journal of Selected Topics in Signal Processing
Additional file 1 of Efficacy and safety of oral Chinese patent medicines in the treatment of coronary heart disease combined with hyperlipidemia: a systematic review and network meta-analysis of 78 trials
Creators: name: Yang, Zhenyu
name: Li, Jixin
name: Zhou, Bogeng
name: Ji, Xuan
name: Yuan, Jianying
name: Yan, Junchen
name: Nan, Xilei
name: Guo, Dandan
Publisher: name: figshare
Year: 2024
Subjects: Medicine
Pharmacology
Biotechnology
Chemical Sciences not elsewhere classified
Cancer
Science Policy

description: Additional file 1: Table S2. Basic characteristics of the included studies.
SMH_appendices_revised – Supplemental material for The Long-Term Impact of Parental Mental Health on Children’s Distress Trajectories in Adulthood
Creators: name: Kamis, Christina
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology
subject: Sociology
subject: FOS: Sociology

description: Supplemental material, SMH_appendices_revised for The Long-Term Impact of Parental Mental Health on Children’s Distress Trajectories in Adulthood by Christina Kamis in Society and Mental Health
Supplemental Material, Ethicc_comitet_acceptance_Fallot_2019 - Tetralogy of Fallot With Dextrocardia and Anomalous Coronary Artery: A Case Report
Creators: name: Tien, Do Anh
name: Tran-Thuy Nguyen
name: Ngo Thi Hai Linh
name: Thanh, Le Ngoc
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: Cardiology
subject: 111403 Paediatrics
subject: FOS: Clinical medicine
subject: 110323 Surgery

description: Supplemental Material, Ethicc_comitet_acceptance_Fallot_2019 for Tetralogy of Fallot With Dextrocardia and Anomalous Coronary Artery: A Case Report by Do Anh Tien, Tran-Thuy Nguyen, Ngo Thi Hai Linh and Le Ngoc Thanh in World Journal for Pediatric and Congenital Heart Surgery
Additional file 2 of Efficacy and safety of oral Chinese patent medicines in the treatment of coronary heart disease combined with hyperlipidemia: a systematic review and network meta-analysis of 78 trials
Creators: name: Yang, Zhenyu
name: Li, Jixin
name: Zhou, Bogeng
name: Ji, Xuan
name: Yuan, Jianying
name: Yan, Junchen
name: Nan, Xilei
name: Guo, Dandan
Publisher: name: figshare
Year: 2024
Subjects: Medicine
Pharmacology
Biotechnology
Chemical Sciences not elsewhere classified
Cancer
Science Policy

description: Additional file 2: Table S3. The selection of the effect model.
JBA912842 Supplemental Material1 - Supplemental material for Iodinated poly(p-dioxanone) as a facile platform for X-ray imaging of resorbable implantable medical devices
Creators: name: Zhao, Fan
name: Xu, Haiyan
name: Xue, Wen
name: Li, Yan
name: Sun, Jing
name: Wang, Fujun
name: Jiang, Guansen
name: Li, Lingchen
name: Wang, Lu
Publisher: name: SAGE Journals
Year: 2020
Subjects: Materials Engineering not elsewhere classified

description: Supplemental material, JBA912842 Supplemental Material1 for Iodinated poly(p-dioxanone) as a facile platform for X-ray imaging of resorbable implantable medical devices by Fan Zhao, Haiyan Xu, Wen Xue, Yan Li, Jing Sun, Fujun Wang, Guansen Jiang, Lingchen Li and Lu Wang in Journal of Biomaterials Applications
A COMPARATIVE STUDY ON PARAMETER ESTIMATION TECHNIQUES FOR THE DISCRETE INVERSE RAYLEIGH DISTRIBUTION
Creators: name: Haripriya M
name: A, Radhika
name: Jeslin J
Publisher: name: Reliability: Theory & Applications
Year: 2025
Subjects: Akaike Information Criterion
Discrete Inverse Rayleigh Distribution
Inverse Rayleigh Probability Paper Plot
Heuristic Algorithm
method of moments
method of proportions

description: This article explores into the Discrete Inverse Rayleigh Distribution, a novel discrete analogue of the continuous Inverse Rayleigh distribution, formulated by inverting a continuous Rayleigh random variable. The Discrete Inverse Rayleigh Distribution can effectively capture a range of hazard rate shapes, exhibiting either unimodal or monotonic decreasing behaviors depending on parameter values. To estimate the parameters of this distribution, we examine four distinct methods: a heuristic algorithm, a probability paper plotting technique designed for the Inverse Rayleigh, the method of moments, and the method of proportions. Each method offers unique strengths and presents different computational requirements and precision levels. Through rigorous simulation studies, we assess the accuracy and reliability of these methods, evaluating their performance across a variety of scenarios. Our results indicate that the methods of moments and proportions encounter significant difficulties when estimating parameters for right-skewed Discrete Inverse Rayleigh distributions. These challenges are primarily due to numerical instability and poor convergence properties under certain parameter configurations, which can limit their practical applicability in these cases. In contrast, both the probability paper plotting method and the heuristic algorithm demonstrate robustness and enhanced accuracy, especially in the context of right-skewed distributions. The probability paper plot is notably effective due to its reliance on graphical techniques that simplify parameter estimation in complex, non-monotonic datasets, whereas the heuristic algorithm provides a more computationally efficient solution without sacrificing precision. To validate the utility of the Discrete Inverse Rayleigh Distribution, we compare its performance with the Discrete Rayleigh Distribution by fitting both models to a real-world dataset. The comparative analysis leverages the Akaike Information Criterion (AIC) to quantitatively assess model fit. Our findings underscore the advantages of the Discrete Inverse Rayleigh Distribution, particularly in applications where discrete data exhibits non-monotonic hazard rates, highlighting its superior fit over the traditional Discrete Rayleigh in this context. This study contributes to the growing toolkit for discrete time-to-event data modeling, offering insights into effective parameter estimation strategies and demonstrating the value of the Discrete Inverse Rayleigh Distribution for specialized discrete hazard rate analysis.
ADVANCED STATISTICAL APPROACH TO FAILURE DATA WITH GAMMA AND WEIBULL DISTRIBUTIONS
Creators: name: Vijayan S
name: S, Kavitha
Publisher: name: Reliability: Theory & Applications
Year: 2025
Subjects: Gamma distribution
Weibull distribution
Probability density function
Cumulative density function
Akaike information criterion
Bayesian information criterion
Biomedical

description: This paper aims to systematically investigate the utility of the Gamma and Weibull distributions, focusing on their application to biomedical datasets and clarifying their mathematical and statistical properties. By analyzing lifetime data across various disciplines, the research emphasizes the effectiveness and flexibility of these distributions in capturing the complexities of biomedical data. It underscores the importance of parameters such as standard error, log-likelihood, Akaike Information Criterion (AIC), and Bayesian Information Criterion (BIC) in value estimation. The findings suggest that both distributions provide valuable insights into the underlying data, with practical implications for reliability engineering and failure analysis. Moreover, the study demonstrates that the Weibull distribution offers a better fit to the given data than the Gamma distribution due to its adaptability, which yields superior results. A key contribution of this study is the proposal of a model based on estimating the Conditional Weibull distribution for feature parameters, which accurately predicts a finite mixture of two-parameter Weibull distributions initially verified on datasets.
Supplementary_Material_(1) – Supplemental material for Gray Matter Volume in Elderly adults With ADHD: Associations of Symptoms and Comorbidities With Brain Structures
Creators: name: Klein, Margarete
name: Fábio Luis Souza-Duran
name: Menezes, Anny Karinna Pires Mendes
name: Alves, Tania Maria
name: Busatto, Geraldo
name: Louzã, Mario R.
Publisher: name: SAGE Journals
Year: 2019
Subjects: subject: Education
subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology

description: Supplemental material, Supplementary_Material_(1) for Gray Matter Volume in Elderly adults With ADHD: Associations of Symptoms and Comorbidities With Brain Structures by Margarete Klein, Fábio Luis Souza-Duran, Anny Karinna Pires Mendes Menezes, Tania Maria Alves, Geraldo Busatto and Mario R. Louzã in Journal of Attention Disorders
A FAILURE DISTRIBUTION FOR RELIABILITY PREDICTION OF MECHATRONIC COMPONENTS AND HUMAN-MACHINE SYSTEM
Creators: name: Chalabi, Iftikhar
Publisher: name: Reliability: Theory & Applications
Year: 2025
Subjects: failure distribution
reliability indexes
failure rate
mechatronic components
human-machine system

description: Modern machines and equipment’s have a complex mechatronic structure consisting of various components, and their reliability depends on a large number of random factors that arise during design, production and operation, which are often impossible to predict. Each element of the modern machines is characterized by different performance criteria and corresponding failures. Various statistical models of failure distribution are widely used to quantify the reliability of machines and devices. The choice of a statistical model and its parameters is important for a proper assessment of reliability. The chosen statistical model should reflect the actual distribution of failures fairly correctly. In presented article is proposed a new failure distribution for reliability prediction of mechatronic components of modern machines and human-machine systems. A large number of sudden failures of modern complex technical facilities containing electronic and mechatronic structural elements seriously affect its λ-characteristic. Various studies have already shown that the failure behavior of complex systems cannot always be characterized by the "bathtub curve". This is especially true for modern complex machines, which, among other things, consist of numerous electronic components for which no wear and fatigue failures are assumed. For this reason, an alternative service life distribution for the description failure behavior of modern mechatronic components and human-machine systems is proposed. This is about the failure curves, which are initially characterized by a low or high failure rate and then tend to a constant failure rate. To determine the reliability indexes are provided analytical formulas. Methods for estimating the parameters of this distribution are presented based on failure statistic. To determine distribution parameters, statistical data on failures of the technical system are sufficient only in the first period of its operation. This is one of the main advantages of the presented distribution. On the example of practical cases, the hypothesis of compliance of the proposed theoretical distribution to the actual statistical data on failures of various mechatronic systems and human-machine system was tested.
A GENERALIZED POWER SUJATHA DISTRIBUTION WITH PROPERTIES AND APPLICATIONS
Creators: name: Hosenur Rahman Prodhani
name: Shanker, Rama
Publisher: name: Reliability: Theory & Applications
Year: 2025
Subjects: generalization of Sujatha distribution
statistical properties
maximum likelihood estimation
mean residual life function
application

description: This paper introduces a generalized power Sujatha distribution as an extension of the two-parameter generalization of Sujatha distribution, initially proposed for analyzing and modeling lifetime data in medical and engineering fields. The existing generalization of Sujatha distribution, being two-parameter, may not always provide a satisfactory fit for certain lifetime data from both theoretical and practical perspectives. The generalized power Sujatha distribution is presented as a comprehensive model, encompassing both the Generalization of Sujatha distribution and the Sujatha distribution as particular cases, specifically for the analysis of data in medical and engineering domains. The paper delves into the statistical properties of the proposed distribution, examining the behavior of its probability density function and cumulative distribution function across varying parameter values. Additionally, the first four raw moments of the distribution are derived and provided. The expressions for the hazard rate function and mean residual life function are obtained, and their behaviors under different parameter values are discussed. Stochastic ordering, a valuable tool for comparing stochastic nature, is also explored. The method of maximum likelihood is discussed for parameter estimation, and a simulation study is conducted to assess the performance of maximum likelihood estimates as sample sizes increase. To validate the applicability of the distribution, two real lifetime data sets from medical and engineering fields are analyzed. The goodness of fit of the generalized power Sujatha distribution is evaluated using the Akaike Information criterion and Kolmogorov-Smirnov statistic. The results demonstrate that the proposed distribution offers a closer fit compared to three-parameter power Quasi Lindley distribution, Three-parameter Sujatha distribution, Generalized gamma distribution, and twoparameter Generalizations of Sujatha distribution, as well as Weibull distribution and one-parameter Sujatha distribution. Given its superior fit over Power Quasi Lindley and Weibull distributions, particularly in the context of modeling and analyzing data from medical and engineering fields, the paper concludes by recommending the generalized power Sujatha distribution as the preferred choice over the considered distributions for such applications.
Schuldenprävention Bei Sozialhilfebeziehenden Flüchtlingen Und Vorläufig Aufgenommenen Personen: Überschuldungsdynamiken Und Interventionsmöglichkeiten Für Die Sozialarbeit
Creators: name: Niederberger, Esther
Publisher: name: Zenodo
Year: 2015
Subjects: subject: gnd:4017604-6
subject: gnd:4055776-5
subject: gnd:4055676-1

description: Sozialhilfebeziehende Flüchtlinge und vorläufig aufgenommene Personen (VAP) befinden sich in mehrfacher Hinsicht in einer schwierigen Situation. Zum einen haben sie aufgrund des Aufenthaltsstatus‘ üblicherweise in der Sozialhilfe einen tieferen Ansatz beim Grundbedarf für den Lebensunterhalt, zum anderen fehlt ihnen der soziale und finanzielle Rückhalt. Allein unerwartete Kosten oder höhere Auslagen erhöhen die Gefahr einer Überschuldung. Die Autorin führte Interviews mit überschuldeten sozialhilfebeziehenden Flüchtlingen und VAP, um herauszufinden, welche Dynamiken sie in die Überschuldung führten. Die Einflussfaktoren für die Überschuldung wurden nach dem Modell von Karsten Müller, Tammo Straatmann, Ute Anna Kötter und Johannes Kraus (2011) in beständig situative Faktoren, kritische Lebensereignisse und psychische Faktoren eingeteilt, beleuchtet und schliesslich ausgewertet (S.57-58). Es zeigte sich, dass die interviewten Personen teilweise schon mehrere kritische Lebensereignisse erlebten, die eine Überschuldung begünstigten. Auch die schlechte rechtliche Stellung ist ein bedeutender Belastungsfaktor. Im Weiteren wurden die Finanzkompetenzen untersucht und die Frage ergründet, inwiefern diese eine Überschuldung begünstigen. Die Ergebnisse wurden zusätzlich mit präventionstheoretischen Ansätzen untermauert. Daraus kommt die Autorin zur Erkenntnis, dass die Sozialarbeit mittels Früherkennung vorzeitig eine Überschuldung erkennen und mit gezielten Interventionen unterbrechen kann.
description: + Code Diss LU: hslusa basa 2016 be + Fussnote: Bachelor-Arbeit, Hochschule Luzern - Soziale Arbeit, Ausbildungsgang Sozialarbeit, 2016
Energetic Effects of Hole Transporting Materials on the Performance of Organometal Halide Perovskite Photovoltaic Cells
Creators: name: Park, So Min
Publisher: name: University of Kentucky
Year: 2017
Subjects: subject: Analytical Chemistry
subject: FOS: Chemical sciences
subject: Materials Chemistry

description: Efficient, inexpensive, lightweight and flexible solar cells are desired to help meet the world’s growing energy needs. Organometal halide perovskite (OMHP) photovoltaic (PV) cells have shown dramatic increases in solar cell efficiencies increase over the last 5 years. OMHP PV cells have attracted significant attention due to their broad absorption spectra, high electron and hole mobility, and low production cost. The interface between hole transporting layer (HTL) and perovskite thin films have a significant influence on charge transfer and overall solar cell performance. 2,2’,7,7’-tetrakis(N,N-di-p-methoxyphenylamine)9,9’-spirobifluorene (Spiro-OMeTAD) is a small molecule largely used as HTL in perovskite solar cells. However, this material suffers from low charge-carrier mobilities and inappropriate energy level alignments with some perovskites. In this work we investigate the effect of the HTL energetics on the performance of perovskite solar cells. This is accomplished through employing a range of HTLs with varying ionization energies (IEs). We find that the solar cell device performance is relatively insensitive to the IE of the HTL within a 0.4 eV range. We also demonstrate that modification of the HTL surface with different alcohols helps in increasing the solar cell performances.
ALPHA POWER TRANSFORMED WEIBULL LOMAX DISTRIBUTION: PROPERTIES AND ITS APPLICATIONS
Creators: name: Fathima Thensi N
name: Nazeema Beevi.T
Publisher: name: Reliability: Theory & Applications
Year: 2025
Subjects: Alpha power transformation
Hazard function
Likelihood estimation
Lomax distribution
Weibull Lomax distribution

description: We proposed a new model called the Alpha Power Transformed Weibull-Lomax (APTWL) distribution which extends the Weibull Lomax distribution and have an increasing, decreasing and bathtub shapes for the hazard rate function. Various structural properties of the new distribution are derived including moments, probability weighted moments, generating and quantile function. The Renyi and q entropies are also obtained. Statistical inference is presented for the APTWL distribution using the method of maximum likelihood estimation to estimate the parameters of proposed distribution. The potentiality of the new model is illustrated by means of three real life datasets. The results of the analysis of the datasets show the superiority of APTWL distribution over some compared distributions.
AGRICULTURAL PRODUCTION PATTERNS IN TAMIL NADU: INSIGHTS FROM VECTOR AUTOREGRESSIVE ANALYSIS USING PYTHON PROGRAMMING
Creators: name: R. Kamalanathan
name: A. Sheik Abdullah
name: A. Jawahar Farook
Publisher: name: Reliability: Theory & Applications
Year: 2025
Subjects: Time Series Analysis
Stationary
Impulse Response Functions
Augmented Dickey-Fuller Test
Granger Causality Test
Vector Autoregressive

description: Understanding agricultural production patterns is crucial for enhancing productivity and ensuring food security. This study explores the dynamics of agricultural production in Tamil Nadu using the Vector Autoregressive (VAR) model to capture the interdependence among various crop yields and rainfall over time. Employing Python programming for data analysis and modeling, the study leverages historical time-series data to identify trends, forecast production, and analyze the impact of external shocks on agricultural outputs. The research incorporates preprocessing techniques to ensure stationarity, optimal lag selection using Akaike’s Information Criterion(AIC) and Bayesian Information Criterion(BIC), and diagnostic checks for model accuracy and stability. The findings provide insights into the temporal relationships among various crops and rainfall. Additionally, Impulse Response Functions(IRF) and variance decomposition analyses offer a deeper understanding of how shocks to one variable propagate through the system. The study demonstrates the utility of Python-based VAR models in agricultural forecasting and decision-making, offering policymakers and stakeholders a robust tool to improve resource allocation and agricultural planning in Tamil Nadu. This work highlights the potential of data-driven approaches to address challenges in the agricultural sector effectively.
Supplemental material for How trust in EU institutions is linked to trust in national institutions: Explaining confidence in EU governance among national-level public officials
Creators: name: Persson, Thomas
name: Parker, Charles F
name: Widmalm, Sten
Publisher: name: SAGE Journals
Year: 2019
Subjects: subject: 160607 International Relations
subject: FOS: Political science
subject: 120505 Regional Analysis and Development
subject: FOS: Social and economic geography

description: Supplemental Material for How trust in EU institutions is linked to trust in national institutions: Explaining confidence in EU governance among national-level public officials by Thomas Persson, Charles F Parker and Sten Widmalm in European Union Politics
ALTERNATE QUADRA-SUBMERGING POLAR FUZZY GRAPH AND ITS DECISION MAKING ANALYSIS
Creators: name: Anthoni Amali A
name: J . Jesintha Rosline
name: G, Aruna
Publisher: name: Reliability: Theory & Applications
Year: 2025
Subjects: Alternate Quadra Submerging Polar Fuzzy Graph
AQSP Fuzzy Sub-merging Polar Relations
AQSP Fuzzy Submerging level of Fixation and AQSP Fuzzy Regular
Totally Regular
Strong and Complete graphs

description: In this article, the two extreme values [-1,1] is proposed with it’s uncertain submerging values [-0.5,0.5] as the Alternate Quadra Submerging Polar (AQSP) Fuzzy Graph. The AQSP Fuzzy graph COVID-19 vaccines survey model has been analyzed to find the highest and the lowest membership and the non-membership value of the five influencing factors effectively. The notion of the AQSP fuzziness has been considered from the various points of view, in the specification of variables with the multiple input of single output rule. The self-reporting nature of the collected survey data of the COVID 19 Booster shots acceptance and the non-acceptance values between [-1,0] and [0,1] converges precisely with the level of fixation [-0.5.0] and [0,0.5] alternatively by using the uncertain values in decision making process of the human behaviours in mathematical Analysis.
A MODIFIED INCIDENT EDGE PATH ALGORITHM FOR EFFICIENT SHORTEST PATH SOLUTIONS IN PIPELINE NETWORKS AND URBAN NAVIGATION SYSTEMS
Creators: name: Kanchana M
name: K∗, Kavitha
Publisher: name: Reliability: Theory & Applications
Year: 2025
Subjects: Directed network
Incident Edge Path Algorithm
Optimum path
Pipeline networks
Google Map Network
Minimum transportation cost

description: The article describes how to utilize the Modified Incident Edge Path Algorithm (MIEPA) to identify the cheapest transit option and the best route. The MIEPA algorithm, which is based on graph theory, is simple to use and can potentially be employed to major smart logistics challenges such as pipeline networks and Google Maps. It evaluates the most optimal approach to minimize transportation expenses using MATLAB. The algorithm ensures that each node gets visited and determines the shortest path from the origin to all other nodes. The running time complexity and theorem of the new method are presented, and the algorithm is compared to the existing algorithm. The proposed MIEPA addresses negative weights and prevents negative cycles. It has used two real-world problems to evaluate the suggested algorithm.
A MODIFIED WEIGHTED DISTRIBUTION APPLICATION ON DIABETES MELLITUS AND PANCREATIC CANCER DATA
Creators: name: Praseeja C B
name: Prasanth C B
name: C Subramanian
name: Unnikrishnan T
Publisher: name: Reliability: Theory & Applications
Year: 2025
Subjects: area biased distribution
length biased distribution
weighted distributions
reliability
estimate

description: This research article attempts to establish and explore a case of two parameter Nwikpe distribution and termed it as Area Biased C2N distribution. As the characteristics of Hydrogen per Oxide(H2O2) is quite different from that of Water (H2O) even though both are the different combinations of the same elements Oxygen & Hydrogen, the characteristics of initial distribution is also entirely different from that of the area biased modified distribution. The implemented new distribution has distinct structural characteristics, and its parameters are estimating using maximum likelihood estimation. Utilizing biomedical data, the new distribution’s application has been examining to ascertain its superiority and utility. One lifetime data set shows the mean reduction in blood glucose (mg/dL) after three days of the first usage of the Metformin medicine from a random sample of 130 patients from a hospital at Chennai, TamilNadu with type 2 diabetes mellitus by testing the FBS-Fasting Blood Glucose. The another set of lifetime data shows the mean reduction in blood glucose (mg/dL) after each dosage of the FIASP insulin-medicine in alternate days of a pancreatic cancer patient, noted for 63 days randomly. Both data set is going to fit to the new distribution and analyze them, to determine the supremacy and usefulness.
AN ALGORITHM FOR CONDITIONAL EXTREME VALUE THEORY GARCH-EVT TECHNIQUE FOR ESTIMATING VALUE AT RISK
Creators: name: K.M. Sakthivel
name: V. Nandhini
Publisher: name: Reliability: Theory & Applications
Year: 2025
Subjects: Extreme events
Value at Risk (VaR)
GARCH models
Threshold selection
Backtesting
Risk management

description: Extreme events in financial time series are characterized by their low probability yet high impact and they pose significant challenges in financial risk management. This study aims to model and forecast extreme events, with a particular emphasis on Value at Risk (VaR) estimation. It explores the concept of conditional Extreme Value Theory (EVT) for modeling volatility series to estimate VaR by integrating Generalized Autoregressive Conditional Heteroskedasticity (GARCH) models with EVT, forming the GARCH-EVT approach. An automated algorithm was developed to optimize both model selection and threshold determination, ensuring accurate estimation of VaR. This automated procedure enhances the model selection process by identifying the optimal GARCH model and the most appropriate EVT threshold, addressing the complexities inherent in modeling extreme events. The comprehensive backtesting procedures are used to assess the effectiveness and precision of the algorithm in forecasting VaR, along with a simulation that evaluates both in-sample and out-of-sample performance of the model and candidate thresholds across various methods. The automated GARCH-EVT approach demonstrates effectiveness in accurately estimating VaR, providing a reliable and efficient method for extreme risk assessment in financial markets. This method streamlines the process of model selection and threshold optimization, contributing to improved risk management in financial markets.
ANALYSIS OF AN ENCOURAGED ARRIVAL MARKOVIAN QUEUE WITH SINGLE WORKING VACATION, IMPATIENCE AND RENEGING OF CUSTOMERS
Creators: name: V. Narmadha
name: P. Rajendran
Publisher: name: Reliability: Theory & Applications
Year: 2025
Subjects: Encouraged arrivals
impatience
reneging
working vacation
probability generating function(PGF).

description: In this paper, we analyze a single server markovian queueing model with encouraged arrivals that undergoes a single working vacation. Additionally, we consider the impatience and reneging behavior of customers in the queue during the working vacation period. Customers arrive at the system following a Poisson distribution. The server goes on vacation when the system is empty and stays on vacation for a random period that follows an exponential distribution. During the working vacation period, the server continues to provide service at a slower rate. After the vacation, the server returns to the regular service period and continues providing service at the regular busy period rate if there are one or more customers in the system, or it remains idle until a new customer arrives. During the working vacation, customers in the queue become impatient and renege from the system, with the reneging time assumed to follow an exponential distribution. The system is characterised as a quasi-birth-death process, and the stationary probabilities are derived using the probability generating function method. Some numerical analysis is also carried out to show the effect of encouraged arrivals on performance measures.
ANALYSIS OF THERMAL PROCESSES IN A CONTROLLED ASYNCHRONOUS MOTOR
Creators: name: S.Y.Shikhaliyeva
Publisher: name: Reliability: Theory & Applications
Year: 2025
Subjects: Thermal processes
controlled asynchronous motor
cooling systems
energy losses
insulation degradation
ventilation
power output

description: This article examines the reliability and risks associated with technical systems involved in the conversion of mechanical energy to electrical energy, focusing on the thermal dynamics of electric machines. It explores the processes of heat generation due to energy losses, primarily heat dissipation, and the effects of temperature increases on the longevity and performance of the machine. The cooling systems essential for managing heat transfer and minimizing overheating are analyzed, considering factors such as heat conduction, convection, and radiation, as well as the role of electrohydraulic and aerodynamic systems in optimizing heat exchange. Special attention is given to the impact of temperature fluctuations on the insulation materials of electric machines, with an emphasis on how overheating accelerates insulation degradation and reduces machine lifespan. The paper further discusses the intricate relationship between cooling efficiency, machine power, and the economic implications of designing effective thermal management systems. Moreover, the challenges of selecting and optimizing cooling strategies in electric machine design are highlighted, considering both technical and economic factors. Lastly, the study delves into ventilation calculations necessary to ensure efficient airflow and cooling, using practical equations and methods for determining pressure loss and fan performance, underscoring the complexity and importance of achieving optimal temperature conditions for long-term, reliable machine operation.
A NEUTROSOPHIC FUZZY ACCEPTANCE SAMPLING PLAN BASED ON NEGATIVE BINOMIAL DISTRIBUTION
Creators: name: Jayalakshmi S
name: Gopinath M
Publisher: name: Reliability: Theory & Applications
Year: 2025
Subjects: Neutrosophic fuzzy acceptance sampling
Negative Binomial distribution
Indeterminacy

description: This paper suggests a novel method for acceptance sampling that integrates neutrosophical fuzzy logic with the negative binomial distribution. The complexity and ambiguity that characterize realworld circumstances are typically overlooked by traditional acceptance sampling methodologies. The neutrosophic Fuzzy Acceptance Sampling Plan (NFASP) incorporates the negative binomial distribution, which is particularly well-suited for count data, to account for circumstances where defect occurrences are important. The efficacy of the methodology is demonstrated by theoretical study and simulations. This innovative method lifts acceptance sampling to a more accurate and sophisticated procedure by dealing with ambiguity and indeterminacy.
A NEW CLASS OF COS-G FAMILY OF DISTRIBUTIONS WITH APPLICATIONS
Creators: name: Kumar, Pankaj
name: Sapkota, Laxmi Prasad
name: Kumar, Vijay
Publisher: name: Reliability: Theory & Applications
Year: 2025
Subjects: Cos-G distribution
Inverse Weibull
Moment
Estimation
Goodness of fit

description: This paper introduces a novel family of probability distributions, termed the Cos-G family, which is derived from a trigonometric transformation approach. We present the general structural properties of this family and focus on one of its unique members. This newly proposed distribution, formulated from the inverse Weibull distribution, exhibits flexible hazard rate shapes, including reverse-J, increasing, and inverted bathtub forms. We investigate its fundamental statistical properties and employ the maximum likelihood estimation method to estimate its parameters. The performance of the estimation technique is assessed through a Monte Carlo simulation, revealing that biases and mean square errors decrease as sample size increases, ensuring reliable parameter estimation even for small samples. To illustrate its practical applicability, we fit the suggested model to three real-world datasets and compare its performance against existing models using various goodness-of-fit measures and model selection criteria. The results confirm the superiority of the proposed model in capturing complex data structures.
A NEW FAMILY OF LINDLEY DISTRIBUTIONS FEATURING BIMODAL CASES
Creators: name: Opone, Festus C.
name: Ehiwario, Jacob C.
name: Sunday A. Osagie
name: Igabari, John N.
name: Nosakhare Ekhosuehi
Publisher: name: Reliability: Theory & Applications
Year: 2025
Subjects: Lindley distribution
power Lindley distribution
quantiles
bimodality

description: Several lifetime distributions have been developed in literature to handle different real-world scenario. Most of these distributions were developed to model a unimodal (symmetric or asymmetric) data. Only a hand-full of these distributions exhibits a bimodal property. This paper explores a new family of Lindley distributions featuring a bimodal property. We introduce five different sub-families of the T-Power Lindley{Y} family based on the quantile function of the uniform, exponential, Frechet, log-logistic and logistic distributions. Useful mathematical properties of the proposed T-Power Lindley{Y} family of distributions are derived and sub-models were the random variable T follows the one-parameter ToppLeone, exponential, exponentiated exponential, Weibull and Gumbel distributions are introduced. From the graphical representation of the density function of these sub-models, we observe that the shape of the density function accommodates a decreasing (reversed-J), left-skewed, right-skewed, symmetric, as well as a bimodal shape. In order to illustrate the usefulness and performance of the proposed T-Power Lindley{Y} family of distributions, the Gumbel Power Lindley (GPL) distribution belonging to the proposed family of distribution was employed to fit a bimodal data set alongside with the beta-Normal distribution. Result obtained from the analysis revealed that the Gumbel Power Lindley (GPL) distribution compares favourably better than the beta-Normal distribution. The density fits of the distributions for the data set was also investigated to support the claim.
APPENDIX_Table_Pictures – Supplemental material for The relative effect of recasts on L2 Korean learners’ accuracy development of two different forms and its relationship with language analytic ability
Creators: name: Kim, Ji Hyun
Publisher: name: SAGE Journals
Year: 2019
Subjects: subject: Education
subject: 200399 Language Studies not elsewhere classified
subject: FOS: Languages and literature

description: Supplemental material, APPENDIX_Table_Pictures for The relative effect of recasts on L2 Korean learners’ accuracy development of two different forms and its relationship with language analytic ability by Ji Hyun Kim in Language Teaching Research
Supplemental_Material_2 – Supplemental material for “You’re such a pain!”: Investigating how psychological pain influences the ostracism of a burdensome group member
Creators: name: Wirth, James H.
name: LeRoy, Angie S.
name: Bernstein, Michael J.
Publisher: name: SAGE Journals
Year: 2019
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology

description: Supplemental material, Supplemental_Material_2 for “You’re such a pain!”: Investigating how psychological pain influences the ostracism of a burdensome group member by James H. Wirth, Angie S. LeRoy and Michael J. Bernstein in Group Processes & Intergroup Relations
A NEW GENERALIZED EXPONENTIATED FAMILY OF CONTINUOUS DISTRIBUTIONS WITH APPLICATIONS TO ENVIRONMENTAL DATA SETS
Creators: name: Sule, Ibrahim
name: Olalekan Akanji Bello
name: Kolawole, Ismail Adekunle
Publisher: name: Reliability: Theory & Applications
Year: 2025
Subjects: Exponentiated Pareto-G
maximum flood level
precipitation
consistent
flexibility

description: Different researchers in the field of distribution theory have derived new models for generalizing the classical ones to make them more flexible and to aid their application in various fields. This generalization and extension of the classical models is mostly done using families of distributions. This article presents a new family of distributions called the Exponentiated Pareto-G family of distributions with two positive shape parameters. Some statistical properties of the new family of distributions, such as explicit expressions for the quantile function, probability-weighted moments, moments, generating function, Reliability function, hazard function, and order statistics are discussed. A maximum likelihood estimation technique is employed to estimate the model parameters. Two submodels such as Weibull and Frechet distributions are employed to check the fit of the family of distributions with the aid of their pdf and hazard function plots. Also, a simulation study is presented to assess the performance of the maximum likelihood estimator. Furthermore, two real-life applications are carried out to assess the fit and flexibility of the new family using the Weibull model as the baseline. The results showed that the new distribution fits better in the two real data sets considered among the range of distributions considered.
A NEW TRANSMUTED PROBABILITY MODEL: PROPERTIES AND APPLICATIONS
Creators: name: Khawar Javaid
name: Para, Bilal Ahmad
Publisher: name: Reliability: Theory & Applications
Year: 2025
Subjects: Transmuted Probability Model
Survival Analysis
Reliability Measures
Monte Carlo Simulation

description: In this article, we introduced a new three parameter continuous probability model by extending a two parameter log-logistic distribution using the quadratic rank transmutation map technique. We provide a comprehensive description of the statistical properties of the newly introduced model. Robust measures of skewness and kurtosis of the proposed model have also been derived along with the moment generating function, characteristic function, reliability function and hazard rate function of the proposed model. The estimation of the model parameters is performed by maximum likelihood method followed by a Monte Carlo simulation procedure. The applicability of this distribution to modeling real life data is illustrated by two real life examples and the results of comparison to base distribution in modeling the data are also exhibited.
AN M/G/1 RETRIAL QUEUE WITH WORKING VACATION, NON PERSISTENT CUSTOMERS AND A WAITING SERVER
Creators: name: R.Keerthana
Publisher: name: Reliability: Theory & Applications
Year: 2025
Subjects: Retrial queue
working vacation
supplementary variable technique
non persistent customers
waiting server

description: An M/G/1 retrial queue with working vacation, non persistent customers and a waiting server is taken into consideration in this study. Both retrial times and service times are assumed to follow general distribution and the waiting server follows an exponential distribution. Before switching over to a vacation the server waits for some arbitrary amount of time and so is called a waiting server. During the working vacation period customers are served at a lesser rate of service. We obtain the PGF for the number of customers and the mean number of customers in the invisible waiting area which is acquired by utilizing the supplementary variable technique. We compute the waiting time distribution. Out of interest a few special cases are conferred. Numerical outcomes are exhibited.
APPLICATION OF FUZZY LOGIC IN AGRICULTURAL NETWORK ANALYSIS FOR OPTIMIZING CROP PRODUCTION
Creators: name: Lone, Mushtaq A.
name: S. A. Mir
name: Kumar, Sushil
name: Aafaq A. Rather
name: Danish Qayoom
name: S. Ramki
Publisher: name: Reliability: Theory & Applications
Year: 2025
Subjects: Fuzzy sets
Fuzzy logics
Network path analysis
Optimization

description: This study investigates the application of fuzzy logic and fuzzy set theory in agricultural networking to identify the optimal paths for different crop production activities. Traditionally networking methods often face challenges with incomplete and uncertain data, which are prevalent in agriculture. Fuzzy logic using decagonal fuzzy number offers a more versatile method of handing imprecise data. In this study decagonal fuzzy numbers are defuzzified by rolling averages with a window of three to determine the optimal path. The solution of the formulated mathematical programming model is obtained using R software which enabling accurate computation of the best routes in agricultural networks and three different examples were taken and the network diagram is also shown. This paper further shows the scope of agriculture especially network path analysis in agriculture which can enhance decision making, which in turn can rise crop yields and improve agriculture productivity.
APPLICATION OF FUZZY DYNAMIC GROUP MULTICRITERIA DECISION MAKING BASED ON Z-NUMBERS
Creators: name: Aliyeva, Kamala
Publisher: name: Reliability: Theory & Applications
Year: 2025
Subjects: Fuzzy logic
Z-numbers
multi-criteria decision making
vendor selection
dynamic group decision making

description: Dynamic group multi-criteria decision making is essential for making informed, balanced, and adaptive decisions in complex and evolving environments. By integrating multiple methodologies and considering the dynamic nature of criteria and group interactions, dynamic group multi-criteria decision making provides a robust framework for decision-making across various fields and applications. Dynamic group fuzzy multi-criteria decision making under Z-information is a sophisticated approach that incorporates the dynamic aspects of decision making, the involvement of multiple stakeholders, and the use of fuzzy logic to handle uncertainties and imprecise information. Z-information refers to a type of uncertain information that combines fuzzy numbers and Z-numbers, where Z-numbers account for both the reliability of the information and its fuzziness. By integrating fuzzy logic and Z-numbers, it effectively handles dual uncertainties of fuzziness and reliability, while dynamically adapting to changes in criteria and stakeholder preferences. In this article, a dynamic multi-criteria decision-making model is proposed to solve strategic vendor selection problems that need to be evaluated in different time periods and involve uncertainty. Z-information is used to express uncertainty and in the proposed model, the decision-making group is asked to evaluate the alternatives in different time periods, and the evaluations made for these different periods are combined.
Supplemental_Material – Supplemental material for Prevalence of unmet needs for spasticity management in care home residents in the East Midlands, United Kingdom: a cross-sectional observational study
Creators: name: Edwards, Laura
name: Ellis, Benjamin
name: Donnellan, Clare
name: Osman, Hanan
name: Haboubi, Naseer
name: Jones, Michael
name: Sunman, Wayne
name: Pinnington, Lorraine
name: Phillips, Margaret Frances
Publisher: name: SAGE Journals
Year: 2019
Subjects: subject: 110904 Neurology and Neuromuscular Diseases
subject: FOS: Clinical medicine
subject: 110314 Orthopaedics
subject: 110604 Sports Medicine
subject: FOS: Health sciences

description: Supplemental material, Supplemental_Material for Prevalence of unmet needs for spasticity management in care home residents in the East Midlands, United Kingdom: a cross-sectional observational study by Laura Edwards, Benjamin Ellis, Clare Donnellan, Hanan Osman, Naseer Haboubi, Michael Jones, Wayne Sunman, Lorraine Pinnington and Margaret Frances Phillips in Clinical Rehabilitation
APPLICATIONS OF SIMULATIONS AND QUEUING THEORY IN SUPERMARKET
Creators: name: Gupta, Shruti
name: Nishant Yadav
name: Khushwant Singh
name: Puneet Garg
Publisher: name: Reliability: Theory & Applications
Year: 2025
Subjects: Queues availability
service discipline
simulation and production analysis

description: This paper describes the role of queuing theory in supermarket or shopping complex. Generally, a supermarket is a place where people are gathered to purchase the daily requirement products and here, a queue represents the customers/items in ascending or descending order. An interesting aspect of queuing process resides in the measures of its system’s performance especially in terms of average service rate and system’s utilization. Simulation is a powerful and versatile tool for modeling facilities in supermarket. So, queuing process with simulation provide the average service rate and it helps in predicting queue lengths as well as waiting durations when multiple items are manufactured and distributed using first come first serve discipline. M/M/s model and poisson process are used to explore the supermarket with server arrival rate and service rate.