cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Supplementary_Tables – Supplemental material for Development and validation of a scale to assess the attitude of healthcare professionals toward persons with disability
Creators: name: Yi, You Gyoung
name: Lee, Jeong-Eun
name: Lee, Seung Hee
name: Lee, Jin Yong
name: Kwon, Yong Jin
name: Hyung-Ik Shin
Publisher: name: SAGE Journals
Year: 2020
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, Supplementary_Tables for Development and validation of a scale to assess the attitude of healthcare professionals toward persons with disability by You Gyoung Yi, Jeong-Eun Lee, Seung Hee Lee, Jin Yong Lee, Yong Jin Kwon and Hyung-Ik Shin in Clinical Rehabilitation
Additional file 1 of Spatial differentiation and driving factors of the high-quality development of undertakings for the aged of China
Creators: name: Peng, Rong
name: Huang, Jianhang
name: Deng, Xueqin
name: Wang, Yingying
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Environmental Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Science Policy
subject: Mental Health
subject: Computational Biology

description: Supplementary Material 1
Additional file 1 of NeuroEPO plus (NeuralCIM®) in mild-to-moderate Alzheimer’s clinical syndrome: the ATHENEA randomized clinical trial
Creators: name: Sosa, Saily
name: Bringas, Giosmany
name: Urrutia, Nelky
name: Peñalver, Ana Ivis
name: López, Danay
name: González, Evelio
name: Fernández, Ana
name: Hernández, Zenaida Milagros
name: Viña, Ariel
name: Peña, Yamile
name: Batista, Juan Felipe
name: Valenzuela, Carmen
name: León, Kalet
name: Crombet, Tania
name: Rodríguez, Teresita
name: Pérez, Leslie
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Neuroscience
subject: Pharmacology
subject: Chemical Sciences not elsewhere classified
subject: Immunology
subject: FOS: Clinical medicine
subject: Science Policy
subject: Mental Health
subject: Computational Biology

description: Additional file 1: Supplement Methods and Results. Table S1. Secondary outcomes (ADL) from Baseline to 48 Weeks. Table S2. Changes in global cerebral perfusion from baseline to week 48. Table S3. Initial and final hippocampal volume adjusted by eTIV. Table S4. Percentage of change in the hippocampal volume adjusted by eTIV. Table S5. Hemoglobin variation, Bonferroni-corrected (adjusted alpha error level of 0.017). Table S6. Primary outcome ADAS-Cog11 score by stage. Table S7. Clinical response (ADAS-Cog value) stratified by APOE genotype and groups. Fig. S1. Qualitative change in the ADAScog11 scale. Modified Intention-to-Treat Population. Fig. S2. Sensitivity analysis. Primary outcome ADAS-Cog11. Fig. S3-1. Cerebral perfusion sequencies of two subjects at baseline and at week 48 (worsening). Fig. S3-2. Cerebral perfusion sequencies of two subjects at baseline and at week 48 (no changes). Fig. S3-3. Cerebral perfusion sequencies of two subjects at baseline and at week 48 (improvement). Fig. S4. Percentage of change in hippocampal volume vs. baseline ADAS-Cog11 score. Fig. S5. Individual variation in hemoglobin levels. Fig. S6. Benefit-risk curves. Fig. S7. Individual variation of primary outcome ADAS-Cog11 by stage.
Supplementary_file_1_xyz338235d34f3b2 – Supplemental material for Identification and Characterization of Carnitine Palmitoyltransferase 1 (cpt 1) Genes in Nile Tilapia, Oreochromis niloticus
Creators: name: Bayır, Mehtap
name: Arslan, Gökhan
name: Bayır, Abdulkadir
Publisher: name: SAGE Journals
Year: 2020
Subjects: Cell Biology

description: Supplemental material, Supplementary_file_1_xyz338235d34f3b2 for Identification and Characterization of Carnitine Palmitoyltransferase 1 (cpt 1) Genes in Nile Tilapia, Oreochromis niloticus by Mehtap Bayır, Gökhan Arslan and Abdulkadir Bayır in Evolutionary Bioinformatics
Supplemental material for Measurement and Prediction of Binaural-Temporal Integration of Speech Reflections
Creators: name: Rennies, Jan
name: Warzybok, Anna
name: Brand, Thomas
name: Kollmeier, Birger
Publisher: name: SAGE Journals
Year: 2019
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences
subject: 110315 Otorhinolaryngology
subject: FOS: Clinical medicine

description: Supplemental Material for Measurement and Prediction of Binaural-Temporal Integration of Speech Reflections by Jan Rennies, Anna Warzybok, Thomas Brand and Birger Kollmeier in Trends in Hearing
Additional file 1 of Correction : Epidemiology and outcomes of early-onset AKI in COVID-19-related ARDS in comparison with non-COVID-19-related ARDS: insights from two prospective global cohort studies
Creators: name: McNicholas, Bairbre A.
name: Rezoagli, Emanuele
name: Simpkin, Andrew J.
name: Khanna, Sankalp
name: Suen, Jacky Y.
name: Yeung, Pauline
name: Brodie, Daniel
name: Bassi, Gianluigi Li
name: Pham, Tai
name: Bellani, Giacomo
name: Fraser, John F.
name: Laffey, John
Publisher: name: figshare
Year: 2024
Subjects: Cell Biology
Neuroscience
Biological Sciences not elsewhere classified
Developmental Biology
Science Policy

description: Additional file 1. List of collaborating authors in the CCCC Consortium.
IMPACT OF DESIGN AND CONSTRUCTION ERRORS ON THE STRUCTURAL RELIABILITY OF STEEL INDUSTRIAL BUILDINGS
Creators: name: Lipin, Andrey
name: Bashirzade, Seymur
name: Mukhlis Hajiyev
name: Garibov, Rafail
Publisher: name: Reliability: Theory & Applications
Year: 2025
Subjects: steel structures
finite element method
finite element analysis
structural performance
structural design
reinforcement
buckling
symmetry deviation

description: Errors in design and construction critically undermine the structural reliability of industrial buildings, putting property, the environment, and human safety at risk. In this regard, the present research work is intended to investigate how such mistakes influence the performance of the main structural components and the stability of steel industrial buildings. Detailed finite element analysis was performed using DIANA FEA for solid modeling and SAP2000 for beam modeling to assess global structural performance. This includes, among others, the insufficiency of local reinforcement in compressed members and eccentricity in column connections. It was performed to analyze the local and global buckling behaviors, deviations in symmetry, and inefficiency of the bracing systems. Consequently, it reveals a significant reduction in load-bearing capacity due to reinforcement deficiencies in the compressed elements and eccentricity, while a structural loss in integrity becomes highly significant at symmetry deviations, especially in horizontal loads. This study provides critical insights into mitigating design and construction errors to enhance the reliability of industrial steel buildings.
Additional file 2 of Spatial differentiation and driving factors of the high-quality development of undertakings for the aged of China
Creators: name: Peng, Rong
name: Huang, Jianhang
name: Deng, Xueqin
name: Wang, Yingying
Publisher: name: figshare
Year: 2024
Subjects: subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Environmental Sciences not elsewhere classified
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Science Policy
subject: Mental Health
subject: Computational Biology

description: Supplementary Material 2
Colonial Entanglements and Cultic Heterogeneity on Rome's Germanic Frontier
Creators: name: Mata, Karim
Publisher: name: Sidestone Press
Year: 2013
Subjects: subject: Religions
subject: Civilization, Greco-Roman

description: Roman expansion into the Rhineland was followed by centuries of religious entanglements that involved the interactions of individuals and communities with a variety of backgrounds, interests and agendas, and, over time, an array of cultic narratives and practices was maintained, transformed and abandoned. The notion of cultic heterogeneity used in this discussion is informed by the perception that all social constructs are reproduced through continuous affirmation vis-à-vis extent alternatives. Cultic discourse is inherently heterogeneous due to the discrepant attitudes, abilities and actions of situated agents. This will be explored by considering the symbolic narratives and ritual practices associated with the Hercules Magusanus cult on Rome's Germanic frontier.
Strafverfahren Aufgrund Innerfamiliärer Sexueller Gewalt: Welche Psychosozialen Auswirkungen Und Rechtlichen Herausforderungen Kann Ein Strafverfahren Im Erwachsenenalter Für Weibliche Opfer Haben, Welche Innerfamiliäre Sexuelle Gewalt Im Kindesalter Erlebt Haben?
Creators: name: Nigg, Maria
name: Schürch, Mirjam
Publisher: name: Zenodo
Year: 2015
Subjects: subject: gnd:4055676-1
subject: gnd:4170137-9
subject: gnd:4030550-8
subject: gnd:4028859-6

description: In der Schweiz wird davon ausgegangen, dass sexuelle Gewalt an Kindern und Jugendlichen am häufigsten innerfamiliär stattfindet, von Menschen, die das Kind liebt und denen es vertraut. Aufgrund der grossen Verbundenheit zum Familiensystem, der hohen Tabuisierung und typischen traumatischen Verdrängungsreaktionen überlegen sich viele Betroffene (wenn überhaupt) erst im Erwachsenenalter, ob sie eine Strafanzeige gegen den Täter oder die Täterin erstatten sollen oder nicht. Basierend auf statistischen Erkenntnissen sind viele Kinder, vor allem Mädchen, von innerfamiliärer sexueller Gewalt betroffen. Folglich ist davon auszugehen, dass Sozialarbeitende auch betroffene Frauen als Klientinnen haben. Die vorliegende Literaturarbeit geht daher der Frage nach, welche psychosozialen Auswirkungen und rechtlichen Herausforderungen ein Strafverfahren im Erwachsenenalter aufgrund innerfamiliärer sexueller Gewalt für eine Betroffene haben kann und welche Handlungsempfehlungen daraus für die Sozialarbeit resultieren. Die Ergebnisse zeigen auf, dass ein Strafverfahren für eine Betroffene psychosoziale Belastungen mit sich bringen, aber auch positive Auswirkungen haben kann. Das Strafverfahren ist komplex, für eine Betroffene kaum vorhersehbar und beinhaltet rechtliche Herausforderungen. Damit Sozialarbeitende Betroffene adäquat beraten und informieren können, müssen sie rechtliche Grundkenntnisse und psychosoziales Erklärungswissen zur Thematik besitzen sowie spezifische Beratungsmethoden kennen. Zu einer professionellen Beratung gehört insbesondere, dass diese ergebnisoffen ist und Klientinnen über mögliche Auswirkungen eines Strafverfahrens informiert werden.
description: + Code Diss LU: hslusa basa 2015 + Fussnote: Bachelor-Arbeit, Hochschule Luzern - Soziale Arbeit, Ausbildungsgang Sozialarbeit, 2015
Supplementary_file_2_xyz338239fe39db7 – Supplemental material for Identification and Characterization of Carnitine Palmitoyltransferase 1 (cpt 1) Genes in Nile Tilapia, Oreochromis niloticus
Creators: name: Bayır, Mehtap
name: Arslan, Gökhan
name: Bayır, Abdulkadir
Publisher: name: SAGE Journals
Year: 2020
Subjects: Cell Biology

description: Supplemental material, Supplementary_file_2_xyz338239fe39db7 for Identification and Characterization of Carnitine Palmitoyltransferase 1 (cpt 1) Genes in Nile Tilapia, Oreochromis niloticus by Mehtap Bayır, Gökhan Arslan and Abdulkadir Bayır in Evolutionary Bioinformatics
Additional file 1 of Dietary patterns and metabolic dysfunction-associated fatty liver disease in China’s multi-ethnic regions
Creators: name: Zhu, Xingren
name: Qucuo, Nima
name: Zhang, Ning
name: Tang, Dan
name: Hu, Yifan
name: Xie, Xiaofen
name: Zhao, Xing
name: Meng, Qiong
name: Chen, Liling
name: Jiang, Xiaoman
name: Zhuoma, Duoji
name: Zeng, Qibing
name: Xiao, Xiong
Publisher: name: figshare
Year: 2024
Subjects: subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: Computational Biology

description: Additional file 1. Additional Material.
Supplemental Material, Authors_Response - Designing a mentoring program for faculty librarians
Creators: name: Heyns, Erla P.
name: Nixon, Judith M.
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: 89999 Information and Computing Sciences not elsewhere classified
subject: FOS: Computer and information sciences

description: Supplemental Material, Authors_Response for Designing a mentoring program for faculty librarians by Erla P. Heyns and Judith M. Nixon in IFLA Journal
IMPLEMENTATION OF THE MAXIMUM PERMISSIBLE OVERLOAD CAPACITY OF A DC MOTOR
Creators: name: Sultanov, Rafig
name: Ahmedov, Elbrus
name: Aliyev, Nadir
Publisher: name: Reliability: Theory & Applications
Year: 2025
Subjects: DC electric motor
drive
overload capacity
electromechanical characteristics
current cut-off
current limiting unit

description: DC motors, due to their wide applicability in various industrial sectors, necessitate precise control of their overload capacity to ensure safe and efficient operation. This study presents a comprehensive methodology for assessing the maximum permissible overload capacity of a DC motor. The core of this methodology lies in the derivation and application of the electromechanical characteristic equation of an electric drive with current cutoff. This equation serves as the foundation for constructing the electromechanical characteristics of the drive, providing a detailed representation of the motor's performance under varying operational conditions. A novel circuit is proposed, featuring an automatic adjustment mechanism for the cut-off current setting based on the speed of the electric drive. This adaptive circuit design ensures that the motor operates within its maximum permissible overload capacity, thereby optimizing performance and preventing potential damage due to excessive loads. By leveraging this advanced control methodology, the reliability and efficiency of DC motors in industrial applications can be significantly enhanced. This approach not only maximizes the motor's operational capabilities but also contributes to the overall safety and longevity of the electric drive systems.
Supplemental Material, Supporting_information - Effects of cross-linking by MgCl2 as an initiator on the properties of EVOH
Creators: name: Wang, Bin
name: Lu, Chong
name: Hu, Jing
name: Lu, Weixin
Publisher: name: SAGE Journals
Year: 2020
Subjects: Materials Engineering not elsewhere classified

description: Supplemental Material, Supporting_information for Effects of cross-linking by MgCl2 as an initiator on the properties of EVOH by Bin Wang, Chong Lu, Jing Hu and Weixin Lu in Journal of Thermoplastic Composite Materials
Appendixes_DW_Sep2 – Supplemental material for Encouraged or Discouraged? The Effect of Adverse Macroeconomic Conditions on School Leaving and Reentry
Creators: name: Witteveen, Dirk
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: Education
subject: Sociology
subject: FOS: Sociology

description: Supplemental material, Appendixes_DW_Sep2 for Encouraged or Discouraged? The Effect of Adverse Macroeconomic Conditions on School Leaving and Reentry by Dirk Witteveen in Sociology of Education
Additional file 2 of Interactions between carnivore species: limited spatiotemporal partitioning between apex predator and smaller carnivores in a Mediterranean protected area
Creators: name: Ferretti, Francesco
name: Oliveira, Raquel
name: Rossa, Mariana
name: Belardi, Irene
name: Pacini, Giada
name: Mugnai, Sara
name: Fattorini, Niccolò
name: Lazzeri, Lorenzo
Publisher: name: figshare
Year: 2024
Subjects: subject: Ecology
subject: FOS: Biological sciences

description: Additional file 2: Temporal activity patterns of the wolf, mesocarnivores, and humans in single years.
Reporting_Skill_Appendices – Supplemental material for Reporting Skill: The Missing Ingredient in Concussion Reporting Intention Assessment
Creators: name: Warmath, Dee
name: Winterstein, Andrew P.
Publisher: name: SAGE Journals
Year: 2019
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences
subject: 110314 Orthopaedics
subject: FOS: Clinical medicine
subject: 110604 Sports Medicine

description: Supplemental material, Reporting_Skill_Appendices for Reporting Skill: The Missing Ingredient in Concussion Reporting Intention Assessment by Dee Warmath and Andrew P. Winterstein in Sports Health: A Multidisciplinary Approach
Appendix_online_supp – Supplemental material for Cost-Effectiveness of Alternative Uses of Polyvalent Meningococcal Vaccines in Niger: An Agent-Based Transmission Modeling Study
Creators: name: S. M. Niaz Arifin
name: Zimmer, Christoph
name: Trotter, Caroline
name: Colombini, Anaïs
name: Fati Sidikou
name: F. Marc LaForce
name: Cohen, Ted
name: Yaesoubi, Reza
Publisher: name: SAGE Journals
Year: 2019
Subjects: subject: 111708 Health and Community Services
subject: FOS: Health sciences
subject: 111799 Public Health and Health Services not elsewhere classified
subject: 160807 Sociological Methodology and Research Methods
subject: FOS: Sociology

description: Supplemental material, Appendix_online_supp for Cost-Effectiveness of Alternative Uses of Polyvalent Meningococcal Vaccines in Niger: An Agent-Based Transmission Modeling Study by S. M. Niaz Arifin, Christoph Zimmer, Caroline Trotter, Anaïs Colombini, Fati Sidikou, F. Marc LaForce, Ted Cohen and Reza Yaesoubi in Medical Decision Making
IMPROVED ADAPTIVE THRESHOLDING LASSO CHART FOR MONITORING DISPERSION OF HIGHDIMENSIONAL PROCESSES USING GENERALIZED MULTIPLE DEPENDENT STATE SAMPLING
Creators: name: Hajiesmaeili, Mehrdad
name: Maleki, Mohammad Reza
name: Salmasnia, Ali
Publisher: name: Reliability: Theory & Applications
Year: 2025
Subjects: Adaptive thresholding Lasso control chart
High dimensional process
Multiple dependent state sampling
Run length
Covariance matrix

description: In many applications of multivariate statistical quality control, it is commonly observed that the number of quality characteristics exceeds the sample size. This poses significant challenges in monitoring high-dimensional data. In such conditions, it is challenging to detect sparse changes where an assignable cause leads to the deviation of only a few elements in the covariance matrix. On the other hand, the utilization of the multiple dependent state (MDS) sampling technique to enhance the sensitivity of control charts has recently attracted the attention of researchers. However, to the best of the authors' knowledge, no previous research has been conducted on equipping multivariate dispersion control charting methods with the MDS technique under high dimensionality. Therefore, this article integrates the adaptive thresholding Lasso statistic with the MDS and generalized MDS techniques to track all types of disturbances in the covariance matrix of high-dimensional processes, including diagonal, off-diagonal, and joint diagonal/off-diagonal deviations. The performance of the proposed control charts will be compared through a numerical example under seven out-of-control patterns in terms of three metrics: average, standard deviation, and median of run length. The results clearly indicate that the use of both sampling techniques significantly improves the run length properties of the adaptive thresholding Lasso chart.
KERNEL SMOOTHING OF THE MEAN PERFORMANCE FOR HOMOGENEOUS CONTINUOUS TIME SEMI-MARKOV PROCESS
Creators: name: Tayeb Hamlat
name: Mokhtari, Fatiha
name: Saâdia Rahmani
Publisher: name: Reliability: Theory & Applications
Year: 2025
Subjects: Semi-Markov processes
Kernel estimator
Mean performance
Reliability
Cumulative operational time
Consistency
Asymptotic normality

description: The main goal of the present paper is to propose a systematic approach to model performance measurements within the context of continuous-time semi-Markov processes with a finite state space. Specifically, the mean performance is estimated using the kernel method. The uniform strong consistency and the asymptotic normality of the proposed estimator is investigated. Furthermore, a non-parametric kernel estimation of the expected cumulative operational time is addressed. The constructed estimator is proved to be consistent and to converge to a normal random variable as the time of observation becomes large. As an illustration example, a simulation study has been conducted in order to highlight the efficiency as well as the superiority of our method to the standard empirical method.
Supplementary_material – Supplemental material for Crossing Lines in the Twitter Debate on Catalonia’s Independence
Creators: name: Balcells, Joan
name: Padró-Solanet, Albert
Publisher: name: SAGE Journals
Year: 2019
Subjects: subject: 200199 Communication and Media Studies not elsewhere classified
subject: FOS: Media and communications
subject: 160607 International Relations
subject: FOS: Political science

description: Supplemental material, Supplementary_material for Crossing Lines in the Twitter Debate on Catalonia’s Independence by Joan Balcells and Albert Padró-Solanet in The International Journal of Press/Politics
IMPROVING VARIANCE PRECISION IN POPULATION STUDIES: THE ROLE OF POST-STRATIFICATION AND AUXILIARY DATA
Creators: name: M. I. Khan
name: S. Qurat Ul Ain
name: M. Younis Shah
Publisher: name: Reliability: Theory & Applications
Year: 2025
Subjects: Post stratification
Auxiliary variable
Estimation
Population variance and Mean squared error

description: In this study, we propose an enhanced estimator for the finite population variance in the context of post-stratified sampling, incorporating an auxiliary variable to improve accuracy. We derive expressions for the bias and mean square error (MSE) of the proposed estimator, providing an approximation accurate up to the first order. The theoretical analysis highlights the conditions under which the proposed estimator yields lower bias and reduced MSE, making it a more efficient alternative to traditional methods. To evaluate the practical performance of this estimator, we apply it to two real-world data sets, where our results demonstrate a marked improvement in efficiency over existing estimators. The numerical findings confirm that, in post-stratified sampling, the proposed estimator significantly enhances the precision of variance estimation, especially when the auxiliary variable is highly correlated with the study variable. This work not only contributes a more efficient estimator but also provides valuable insights into the application of auxiliary information in post-stratified sampling designs.
Additional file 4 of Interactions between carnivore species: limited spatiotemporal partitioning between apex predator and smaller carnivores in a Mediterranean protected area
Creators: name: Ferretti, Francesco
name: Oliveira, Raquel
name: Rossa, Mariana
name: Belardi, Irene
name: Pacini, Giada
name: Mugnai, Sara
name: Fattorini, Niccolò
name: Lazzeri, Lorenzo
Publisher: name: figshare
Year: 2024
Subjects: subject: Ecology
subject: FOS: Biological sciences

description: Additional file 4: Interspecific temporal overlapin sites with high vs. low human activity.
LEVERAGING RANK SET SAMPLING FOR ENHANCED STRESS-STRENGTH ESTIMATION IN THE CONTEXT OF NAKAGAMI DISTRIBUTION
Creators: name: Kumar, Surinder
name: Shukla, Rahul
name: Bhupendra Meena
name: Shivendra Pratap Singh
Publisher: name: Reliability: Theory & Applications
Year: 2025
Subjects: Stress–strength reliability
simple random sampling
ranked set sampling
Nakagami distribution
maximum likelihood estimation

description: This study addresses the estimation of the stress-strength reliability model, where stress and strength both following the Nakagami distribution. While conventional approaches have relied on simple random sampling (SRS) for estimating reliability models, recent research suggests that ranked set sampling (RSS) offers a more efficient alternative. RSS yields more informative samples compared to SRS, potentially enhancing the accuracy of reliability estimations. Our investigation focuses on deriving maximum likelihood estimators (MLEs) for stress-strength under both SRS and RSS methodologies. To evaluate the comparative efficacy of these sampling techniques, we conduct a comprehensive Monte Carlo simulation study. The results of this analysis provide compelling evidence that RSS-based estimators outperform their SRS counterparts in terms of efficiency and precision. This research contributes to the growing body of literature supporting the adoption of RSS in reliability engineering. By demonstrating the superior performance of RSS in the context of Nakagami-distributed stress-strength models, we offer valuable insights for researchers and practitioners seeking to optimize their estimation procedures in reliability analysis.
MATHEMATICAL ANALYSIS OF THE MECHANICAL PART OF THE DESIGN SCHEME OF THE ELECTRIC DRIVE OF A HYBRID ELECTRIC MACHINE
Creators: name: S.A. Khanahmedova
Publisher: name: Reliability: Theory & Applications
Year: 2025
Subjects: hybrid electric machine
mechanical system
electric drive
inertial element
moment of inertia
elastic element
transfer function
mathematical model
disturbing effect

description: The paper analyzes the mechanical part of the design scheme of the electric drive of a hybrid electric machine, which is a key stage in the design and research of automatic control systems. The main elements of a mechanical system, a model of a real mechanical system connected to an electric drive, including all moving elements, transmission mechanisms, and actuators that convert electrical energy into mechanical work, are considered. The presented calculation scheme allows you to analyze dynamic processes, i.e. to study the system's behavior over time, to determine stability, fluctuations, and other characteristics. Calculations of various mass systems are performed using the capabilities of the MATLAB/Simulink software package for a three-mass and two-mass system. These models can be used for different systems with different parameters. To draw up a structural diagram, the elements of the mechanical part and the connections between the elements, the types of these connections (rigid, elastic) and the directions of motion transmission are determined. Structural diagrams are used to analyze the dynamic characteristics of the system, determine transients, stability, and vibrations.
MODELING RELIABILITY IN k-OUT-OF-m SYSTEMS WITH UNEQUAL LOAD SHARING USING PROPORTIONAL CONDITIONAL REVERSE HAZARD RATE
Creators: name: Sukumar V. Rajguru
name: Santosh. S. Sutar
Publisher: name: Reliability: Theory & Applications
Year: 2025
Subjects: k-out-of-m system
Load sharing phenomenon
Order statistics
Proportional hazard rate
Reverse hazard rate
Unequal load share rule

description: This paper explores a load-sharing model within a k-out-of-m system, where multiple components work together to handle a shared load. Such systems are prevalent in various engineering and industrial applications.While previous studies have focused on equal load-sharing rules, this research emphasizes systems operating under an unequal load-sharing rule, which has a significant impact on the system’s reliability and performance. Specifically, the paper examines a k-out-of-m load-sharing system modeled using the proportional conditional reverse hazard rate model, incorporating unequal load sharing. We have derived expressions for the probability density function and cumulative distribution function of system failure. To illustrate the model, they use a 2-out-of-4 configuration with Weibull baseline distributions. The maximum likelihood estimation method is employed to estimate the model parameters, and the performance of these estimates is evaluated through a simulation study, assessing both bias and mean square errors. Additionally, the practical applicability of the model is demonstrated through the analysis of two real datasets.
Additional file 1 of Interactions between carnivore species: limited spatiotemporal partitioning between apex predator and smaller carnivores in a Mediterranean protected area
Creators: name: Ferretti, Francesco
name: Oliveira, Raquel
name: Rossa, Mariana
name: Belardi, Irene
name: Pacini, Giada
name: Mugnai, Sara
name: Fattorini, Niccolò
name: Lazzeri, Lorenzo
Publisher: name: figshare
Year: 2024
Subjects: subject: Ecology
subject: FOS: Biological sciences

description: Additional file 1: Mesocarnivores in wolf diet.
MULTI-OBJECTIVE PROBLEM WITH MULTIPLE JOBS ASSIGNED TO A SINGLE MACHINE WITHIN AVAILABLE COST UNDER UNCERTAIN ENVIRONMENT
Creators: name: Khan, Aamir
name: Quazzafi Rabbani
name: Ahteshamul Haq
Publisher: name: Reliability: Theory & Applications
Year: 2025
Subjects: Triangular Fuzzy Number
Unbalanced Assignment Problem
Modified Hungarian Technique
Fuzzy Programming Approach

description: The assignment problem is a key challenge in optimization and operations research, finding applications in diverse real-world scenarios. The Hungarian method is a widely employed algorithm for solving this problem, especially in its balanced form. However, for unbalanced assignment problems, where tasks outnumber resources (or vice versa), an extension is necessary. One common approach introduces a dummy resource, but this may leave tasks unassigned. The Modified Hungarian method improves upon the standard algorithm for unbalanced problems, ensuring that all tasks are assigned to real resources. This is achieved by modifying the cost matrix and algorithm steps to accommodate additional tasks and resources. Triangular fuzzy numbers are discussed when exact parameter information is undefined, and fuzzy programming is applied to determine a compromise result. Incorporating cost and profit per resource, the Modified Hungarian algorithm addresses the problem of unspecified job allocations to a single machine by introducing a cost parameter for each machine. The methodology is demonstrated on a numerical example for better comprehension.
OntheWaytoFusion_Supplementary_material1 – Supplemental material for On the way to fusion through the pilgrims’ route: Factors that maintain identity fusion in collective rituals
Creators: name: Lobato, Roberto M.
name: Sainz, Mario
Publisher: name: SAGE Journals
Year: 2019
Subjects: subject: 170199 Psychology not elsewhere classified
subject: FOS: Psychology

description: Supplemental material, OntheWaytoFusion_Supplementary_material1 for On the way to fusion through the pilgrims’ route: Factors that maintain identity fusion in collective rituals by Roberto M. Lobato and Mario Sainz in Group Processes & Intergroup Relations
MODERN APPROACHES TO MODELING RELIABLE AND EFFICIENT WATER SUPPLY SYSTEMS
Creators: name: M.T. Babayev
name: N.V. Budagova
Publisher: name: Reliability: Theory & Applications
Year: 2025
Subjects: water supply reliability
mathematical modeling
probability theory
Markov processes
fault tolerance
economic efficiency

description: The reliability of water supply systems plays a crucial role in ensuring sustainable water use, minimizing economic losses, and preventing failures in critical infrastructure. This paper proposes a mathematical approach to modeling the reliability of water systems based on probability theory and Markov processes. The main types of failures, their impact on operational characteristics, and economic consequences are examined. A simulation of the water supply network is conducted, considering the probabilistic characteristics of failures and recovery processes. The analysis of results demonstrates that the implementation of predictive monitoring methods and the optimization of maintenance strategies significantly enhance the resilience of water supply systems. The developed model can be applied in the planning of modernization and management of water supply infrastructure to improve its efficiency and economic feasibility.
Revue européenne de recherches sur la poésie. 2016, n° 2
Creators: name: (:Unap)
Publisher: name: Classiques Garnier
Year: 2017
Subjects: subject: Poésie
subject: Poésie européenne
subject: Littérature européenne
subject: Yves Bonnefoy
subject: Prose

description: Contributeurs : Venanzia Annese, Michel Arouimi, Jean Balsamo, Francesca Bravi, Marco Caratozzolo, Isabelle Chol, René Corona, Giovanna Devincenzo, Mounirou Diallo, Titika Dimitroulia, Giovanni Dotoli, Michèle Duclos, Constantin Frosin, Salvatore Francesco Lattarulo, Marcella Leopizzi, Francesco Paolo Alexandre Madonia, Angels Santa, Andrea Schellino, Andrew Small, Salah Stétié, Serpilekin Adeline Terlemez, Ilda Tomas, Francesca Tumia, Yauheniya Yakubovich et Zosi Zografidou.
ON SOME PROPERTIES AND APPLICATIONS OF THE MODI-FRÉCHET DISTRIBUTION
Creators: name: Akhila, P.
name: Girish Babu, M.
Publisher: name: Reliability: Theory & Applications
Year: 2025
Subjects: Characterization
Entropy
Fréchet distribution
Hazard rate function
Maximum Likelihood Estimation
Statistical modelling

description: In this paper we introduce a novel expansion of Fréchet distribution from Modi family of probability distributions. The important statistical properties like moments, stochastic ordering, and entropy are studied in this paper. Two distinct characterizations of the proposed distribution are derived through the hazard rate function and truncated moments. The statistical inference about the parameters of the new distribution is studied using the method of maximum likelihood estimation. To study the flexibility and practical utility of the distribution, two real-life data sets from the reliability sector and from the biomedical field were analyzed. An extensive simulation study is also conducted to validate the accuracy and consistency of the estimation techniques.
OPTIMIZATION ANALYSIS OF UNRELIABLE MULTI-SERVER QUEUEING SYSTEM WITH BERNOULLI SCHEDULE WORKING VACATION, THRESHOLD-BASED RECOVERY POLICY, AND IMPATIENCE
Creators: name: Ramdani, Hayat
name: Bouchentouf, Amina Angelika
name: Lahcene Yahiaoui
Publisher: name: Reliability: Theory & Applications
Year: 2025
Subjects: unreliable queueing systems
threshold-based recovery policy
working vacation
impatience

description: This paper analyzes an unreliable multi-server queueing system incorporating working vacations, Bernoulli interruptions, breakdowns with a threshold recovery policy, balking, abandonment, and retention. During the break period, if there are customers in the queue, the servers may either resume normal service or continue their vacation. Customers arriving while the system is saturated are rejected. Failures occur unexpectedly but only when at least one customer is present in the system. Recovery procedures remain in effect until the total number of customers surpasses a predefined threshold. Using matrix-analytic methods, we derive steady-state solutions and explicit formulas for various performance indicators. Further, we explore cost parameter optimization.
Przedmurze chrześcijaństwa widziane z Albionu. Tematyka wojenna w angielskich przekładach, naśladownictwach i parafrazach ód wojennych Macieja Kazimierza Sarbiewskiego
Creators: name: Fordonski, Krzysztof
Publisher: name: Wydawnictwo Instytutu Badań Literackich
Year: 2011
Subjects: subject: Translating and interpreting

description: The article offers an analysis of a selection of English translations e.g. by Isaac Watts and Francis Mahony, written from the late 17th to the early 19th century, of Maciej Kazimierz Sarbiewski's poems referring to Polish-Turkish wars of the early 17th century. The article offers an explanation of the attitudes presented by the translators to the original work in the historical context of the periods when the originals and translations were created.
OPTIMIZATION OF RESOURCE ALLOCATION USING INTEGER PROGRAMMING OF IMPROVED RATIO ESTIMATOR UNDER STRATIFIED RANDOM SAMPLING
Creators: name: Bhatt Ravi Jitendrakumar
name: Saini, Monika
name: Kumar, Ashish
name: Raghav, Yashpal Singh
Publisher: name: Reliability: Theory & Applications
Year: 2025
Subjects: linear cost function
integer programming
optimization
resource allocation
lingo software
cost minimization

description: This paper provides a case study that illustrates how integer programming may be used to optimize resource allocation. With the known population median of the study variable acting as auxiliary data, an exponential ratio estimator is shown for estimating the finite population mean under stratified random sampling. The objective is to minimize a cost function within specific bounds. Using integer programming techniques and the Lagrange multiplier approach, we transform the proposed problem into an optimization problem with a linear cost function. This allows us to propose an optimal way for minimizing total costs while maintaining desired accuracy levels. We found that the suggested estimator performed better than methods involving stratified random sampling. Additionally, a numerical example is given to verify the theoretical conclusions for real-world applications. We go over how the problem was formulated, how to use LINGO software to solve it, and the results. It is advised to choose the estimator with the lowest MSE in real-world stratified random sampling situations. The strategy shows significant cost savings and efficient use of resources. The effectiveness of the recommended approach is demonstrated by testing the methodology on both simulated and real-world datasets.
OPTIMIZATION OF EQUIPMENT RELIABILITY BASED ON A NEURO-FUZZY APPROACH: CASE OF A FLOUR MILL
Creators: name: Ngnassi Djami Aslain Brisco
Publisher: name: Reliability: Theory & Applications
Year: 2025
Subjects: Optimization
Reliability
Neuro-fuzzy approach
Flour milling

description: The main objective of this paper is to present an innovative approach combining fuzzy logic and artificial neural networks to optimize equipment reliability in the specific context of a flour mill. Faced with the challenges of performance and profitability in this industrial sector, the neuro-fuzzy methodology has been developed to meet the challenges related to the complexity and uncertainty inherent in equipment reliability management. The first part of the paper provides an overview of the problem, introducing the key concepts of reliability and maintenance, while highlighting the particular challenges of the milling industry. This paper also outlines the advantages of the neurofuzzy approach for optimizing equipment reliability. The methodology for developing the neuro-fuzzy model is detailed in the second part. It covers the construction of the fuzzy inference system, the design of the neural network structure, as well as the training and optimization steps of the model. The case study conducted in a flour mill is presented in the third part. After a description of the company and its equipment system, the collection and analysis of reliability data are presented, as well as the implementation of the developed neuro-fuzzy model. The results obtained demonstrate that this methodology makes it possible to better anticipate failures, optimize maintenance interventions, and reduce associated costs. Sensitivity analysis and comparison with other optimization methods confirm the validity and operational and economic benefits of the proposed approach.
OPTIMIZING A LINEAR FRACTIONAL FUNCTION OVER AN INTEGER EFFICIENT SET
Creators: name: Younsi-Abbaci, Leila
Publisher: name: Reliability: Theory & Applications
Year: 2025
Subjects: multiple objective programming
integer programming
linear fractional programming
efficient solutions

description: Over recent decades, significant advancements have been made in optimization over the efficient set. This paper introduces a novel exact algorithm designed to optimize a linear fractional objective function over the integer efficient set of a multi-objective linear programming problem (MOILP). Without enumerating all efficient solutions, our method employs a selection strategy to iteratively improve the primary objective while progressively refining the feasible region and excluding dominated points. By exploring edge connections within the truncated feasible space, the proposed algorithm ensures convergence to the global optimal value in a finite number of iterations. A numerical example demonstrates the algorithm’s effectiveness and practical application. This approach addresses critical challenges in multiobjective integer programming, particularly the nonconvexity of the efficient set and the absence of explicit feasible set descriptions.
Additional file 5 of Interactions between carnivore species: limited spatiotemporal partitioning between apex predator and smaller carnivores in a Mediterranean protected area
Creators: name: Ferretti, Francesco
name: Oliveira, Raquel
name: Rossa, Mariana
name: Belardi, Irene
name: Pacini, Giada
name: Mugnai, Sara
name: Fattorini, Niccolò
name: Lazzeri, Lorenzo
Publisher: name: figshare
Year: 2024
Subjects: subject: Ecology
subject: FOS: Biological sciences

description: Additional file 5: Interspecific temporal overlapin sites with high vs. low wolf activity.
OPTIMIZING BAYESIAN REPETITIVE GROUP SAMPLING PLAN FOR QUALITY CONTROL TO ENHANCE DECISION MAKING EFFICIENCY IN MODERN MANUFACTURING
Creators: name: P. Sivakumar
name: V. Kaviyarasu
name: V. Devika
Publisher: name: Reliability: Theory & Applications
Year: 2025
Subjects: Bayesian perspective
group sampling
quality control
decisionmaking
process monitoring

description: This article introduces an approach to optimize the design of Repetitive Group Sampling (RGS) plan in the context of quality control for modern manufacturing processes. The primary objective of this study is to enhance decision-making efficiency by applying Bayesian principles to develop optimal sampling plans. In modern manufacturing environment, the industries are using the advanced technologies and machineries to maintain the quality of their products. The existence of defects would consequently be highly rare in such production. In such situation, Zero Inflated Poisson (ZIP) distribution is a more appropriate probability distribution rather than the usual Poisson distribution. Further, manufacturing industries often use a variety of manpower and materials to produce their products in various production streams. This may lead to have more quality variation in between lots and hence, the lot quality will vary over lots. The lots that arise from such a production process will be unstable, and quality variations among the units are often heterogeneous in nature. In such situation, the Bayesian sampling plans under Zero Inflated Poisson distribution would be more effective and alternative for traditional sampling plans. This paper studies the designing and selection of Bayesian Repetitive Group Sampling (BRGS) Plan under the conditions of Gamma-Zero Inflated Poisson distribution (G-ZIP). To investigate the effectiveness of this plan, a comparison between the proposed BRGS plan and various existing sample plans is made. Further, we provided the procedure and tables with the suitable numerical illustration to compute the optimal sampling plan.
OPTIMIZING INVENTORY OF DETERIORATING PRODUCTS WITH PRICE-DEPENDENT DEMAND USING QUANTUM-BEHAVED AGTO VARIANTS
Creators: name: Muragesh Math
name: D.Gopinath
name: B. S.Biradar
Publisher: name: Reliability: Theory & Applications
Year: 2025
Subjects: AGTO
Quantum-Behaved
Deteriorating Products
Price-Dependent Demand

description: Preservation of a product is an important issue in the inventory control system. It prevents the deterioration effect of the products while these are stored in the warehouse/showroom. Considering deterioration effect of the product and preservation technology, an inventory model of non-instantaneous deteriorating items is developed with the demand dependent on the selling price of the product. Two different preservation rates are considered. Shortages are allowed partially with two different backlogging rates. Due to consideration of three-parameter Weibull distributed deterioration and preservation facility, the corresponding optimization problems are highly nonlinear. So, these problems cannot be solved analytically due to nonlinearity. To overcome this situation, different variants of quantum-behaved Artificial Gorilla Troops Optimizer (AGTO) are used. To illustrate and validate the proposed model, a numerical example is considered and solved for each case, and compared the results with the different variants of AGTO algorithms. Finally, a sensitivity analysis is performed to study the effect of changes of different parameters of the model on the optimal policy.
Additional file 6 of Interactions between carnivore species: limited spatiotemporal partitioning between apex predator and smaller carnivores in a Mediterranean protected area
Creators: name: Ferretti, Francesco
name: Oliveira, Raquel
name: Rossa, Mariana
name: Belardi, Irene
name: Pacini, Giada
name: Mugnai, Sara
name: Fattorini, Niccolò
name: Lazzeri, Lorenzo
Publisher: name: figshare
Year: 2024
Subjects: subject: Ecology
subject: FOS: Biological sciences

description: Additional file 6: Preliminary analyses on spatial relationships between the wolf and mesocarnivores.
PRISMA_2009_checklist – Supplemental material for Efficacy of Controlled Whole-Body Vibration Training on Improving Fall Risk Factors in Stroke Survivors: A Meta-analysis
Creators: name: Yang, Feng
name: Butler, Andrew J.
Publisher: name: SAGE Journals
Year: 2020
Subjects: subject: Geriatrics and Gerontology
subject: Neurology and Neuromuscular Diseases
subject: FOS: Clinical medicine
subject: Neuroscience

description: Supplemental material, PRISMA_2009_checklist for Efficacy of Controlled Whole-Body Vibration Training on Improving Fall Risk Factors in Stroke Survivors: A Meta-analysis by Feng Yang and Andrew J. Butler in Neurorehabilitation and Neural Repair
OPTIMIZING TWO-WAREHOUSE INVENTORY MODEL FOR DETERIORATING ITEMS WITH GENERALIZED EXPONENTIAL DEMAND, PARTIAL BACKLOGGING, AND INFLATION USING BACTERIAL FORAGING OPTIMIZATION
Creators: name: Sethi, Garima
name: Yadav, Ajay Singh
name: Dharmendra Yadav
Publisher: name: Reliability: Theory & Applications
Year: 2025
Subjects: Bacterial Foraging Optimization
Two-Warehouse
Inventory Model
Exponential Demand
Partial Backlogging and inflation

description: This paper presents a novel two-warehouse inventory model for degrading products, where the demand rate is governed over time by a generalized exponential function. Two real-world supply chain challenges that are taken into account in the model are the economic effects of inflation and partial backlog. By reducing the whole cost, which includes holding, shortage, and degradation charges, the Bacterial Foraging Optimization (BFO) method maximizes inventory management. The effectiveness of the model is validated through a comprehensive numerical example, and graphical representations demonstrate the impact of key factors on system performance. The results demonstrate how BFO may be used to complex inventory problems, giving supply chain managers crucial data as they try to balance cost-effectiveness and demand fluctuations in an inflationary environment. This approach highlights the need of advanced optimization techniques in improving decision-making processes for degrading products in a two-warehouse scenario.