bluuebunny/crossref_metadata_2025_split huggingface dataset:
Photobiomodulation therapy as an adjunct to resistance exercises on muscle metrics, functional balance, functional capacity, and physical performance among older adults: A systematic scoping review
Authors: Kumar Prabal , Umakanth Shashikiran , N Girish 
Published: September 2024

Abstract
This scoping review aims to summarize the literature on photobiomodulation (PBM) therapy as an adjunct to resistance exercise among older adults, focusing on its effects on muscle metrics, functional balance, capacity, and physical performance. The participants included were older adults aged ≥ 60 years and either gender. The concept was the application of PBM and resistance exercises with no limits on the context parameters. The databases Medline, Embase, Scopus and Web of Science were searched from inception till February 2024. Methodological quality was assessed using the Cochrane risk of bias 2.0. A total of 10 studies were included in the review. PBM, along with resistance training, was reported in six studies, whereas four reported PBM with isometric fatigue protocol. PBM with a wavelength of 808 nm was given on the belly of the rectus femoris muscle in most of the studies. The common dosimetry parameters used were- power density 35.7 W/cm2, energy density 250 J/cm2, 8 sites, energy per site 7 J, duration of 70 s per site, spot size per diode of 0.028 cm2, and stationary contact of application. The application of PBM therapy alongside resistance exercise has been found to improve muscle metrics, functional capacity, and functional performance and reduce fatigability when compared with the control group in most of the studies. When incorporating PBM therapy as an adjunct to resistance training, it is crucial to consider the dosimetry parameters involved—to achieve the intended therapeutic effect. Adjusting treatment parameters with this information can optimize the effectiveness of PBM therapy and improve treatment outcomes for patients.
From zero to hero: ramp-up management as a new cross-cutting business process management capability
Authors: Albrecht Tobias , Lösser Benedict , Röglinger Maximilian 
Published: September 2024

AbstractChanging business environments challenge and motivate organizations to transform. To remain competitive, organizations need to embrace these dynamics and make radical changes to how work is performed. Business process management (BPM) as a holistic management discipline offers mature methods and end-to-end management activities. However, it is subject to the tension between stability and change. While change through the improvement of existing business processes is well understood, the implementation and scaling of novel business processes have been neglected in BPM research. Hence, this paper proposes business process ramp-up management (BPRUM) as a new cross-cutting capability area for contemporary and future BPM and explores relevant sub-capabilities. Our work synthesizes insights from an exploratory interview study with 21 subject matter experts to advance the understanding of BPM as a corporate capability regarding the implementation and scaling of novel processes. As a result, this study illustrates how BPRUM adds to modern BPM and presents 40 action-oriented sub-capabilities that provide hands-on knowledge and practical guidance for effective BPRUM. Thereby, it serves as a foundation for further theorizing on process ramp-up and for structuring discussions among BPM practitioners.
Universal conceptual modeling: principles, benefits, and an agenda for conceptual modeling research
Authors: Lukyanenko Roman , Samuel Binny M. , Parsons Jeffrey , Storey Veda C. , Pastor Oscar , Jabbari Araz 
Published: September 2024

AbstractThe paper proposes universal conceptual modeling, conceptual modeling that strives to be as general-purpose as possible and accessible to anyone, professionals and non-experts alike. The idea of universal conceptual modeling is meant to catalyze new thinking in conceptual modeling and be used to evaluate and develop conceptual modeling solutions, such as modeling languages, approaches for requirements elicitation, or modeling tools. These modeling solutions should be usable by as many people and design agents as possible and for as many purposes as possible, aspiring to the ideals of universal conceptual modeling. We propose foundations of universal conceptual modeling in the form of six principles: flexibility, accessibility, ubiquity, minimalism, primitivism, and modularity. We then demonstrate the utility of these principles to evaluate existing conceptual modeling languages and understand conceptual modeling practices. Finally, we propose future research opportunities meant to realize the ideals of universal conceptual modeling.
Data-Driven Fault Detection and Isolation for Multirotor System Using Koopman Operator
Authors: Lee Jayden Dongwoo , Im Sukjae , Kim Lamsu , Ahn Hyungjoo , Bang Hyochoong 
Published: September 2024

AbstractThis paper presents a data-driven fault detection and isolation (FDI) for a multirotor system using Koopman operator and Luenberger observer. Koopman operator is an infinite-dimensional linear operator that can transform nonlinear dynamical systems into linear ones. Using this transformation, our aim is to apply the linear fault detection method to the nonlinear system. Initially, a Koopman operator-based linear model is derived to represent the multirotor system, considering factors like non-diagonal inertial tensor, center of gravity variations, aerodynamic effects, and actuator dynamics. Various candidate lifting functions are evaluated for prediction performance and compared using the root mean square error to identify the most suitable one. Subsequently, a Koopman operator-based Luenberger observer is proposed using the lifted linear model to generate residuals for identifying faulty actuators. Simulation and experimental results demonstrate the effectiveness of the proposed observer in detecting actuator faults such as bias and loss of effectiveness, without the need for an explicitly defined fault dataset.
A Vibration Decoupling System for TES Operation in the COSINUS Dry Dilution Refrigerator
Authors: Kellermann M. , Angloher G. , Bharadawj M. R. , Cababie M. , Dafinei I. , Di Marco N. , Einfalt L. , Ferroni F. , Fichtinger S. , Filipponi A. , Frank T. , Friedl M. , Ge Z. , Heikinheimo M. , Hughes M. N. , Huitu K. , Maji R. , Mancuso M. , Pagnanini L. , Petricca F. , Pirro S. , Pröbst F. , Profeta G. , Puiu A. , Reindl F. , Schäffner K. , Schieck J. , Schmiedmayer D. , Schreiner P. , Schwertner C. , Stahlberg M. , Stendahl A. , Stukel M. J. , Tresca C. , Wagner F. , Yue S. , Zema V. , Zhu Y. 
Published: September 2024

AbstractCOSINUS will be among the first underground experiments to operate Transition Edge Sensors in a dry dilution refrigerator, measuring temperature changes on the order of $$\mu$$
μ
K. A pulse tube cryocooler is used to cool down to 3K, trading simplified handling, by not using liquid noble gases, for an increased vibration noise level in the acoustic frequency range. As the signals measured with a TES are in the same frequency region, it is necessary to decouple the detectors from all possible noise sources. In COSINUS, a two-level passive decoupling system was developed and tested using piezo-based accelerometers. At the first level, the refrigerator is mechanically isolated from all external noise sources. For the second level an internal spring-based system was developed and tested on a mockup system. On the first level a reduction of the vibrational background up to a factor 4 below 10 Hz could be measured. On the second level a resonance frequency of 1.2 Hz with damping of higher frequencies was achieved.
Effect of particle size on SiO2 nanofluid viscosity determined by a two-step method
Authors: Yalçın Gökberk , Öztuna Semiha , Dalkılıç Ahmet Selim , Wongwises Somchai 
Published: September 2024

AbstractAccording to review of the literature, the influence of nanoparticle diameter with irregular shapes on viscosity requires further research since there is no relation between particle size and nanofluid stability. In this study, SiO2/EG–water-based nanofluid samples were prepared, and their viscosities were experimentally determined. SiO2 nanoparticles had sizes of 7, 15, and 40 nm, and the base fluid was a 50% ethylene glycol and 50% water mixture. Nanofluid samples were prepared using a two-step technique. Viscosity change was measured every 10 °C from 20 to 60 °C. The maximum viscosity values were observed for 7, 15, and 40 nm particles over an entire concentration range. Considering all measurements, the highest viscosity increase was 60.51% for 3% SiO2 (7 nm) at 60 °C, and the lowest viscosity change was 7.72% for 1% SiO2 (40 nm) at 40 °C. The most stable sample of the current study was 1% SiO2 (15 nm), and its Zeta potential was − 35.6 mV. Finally, a new empirical equation that included temperature, particle diameter, and concentration terms is suggested to predict dynamic viscosity, with R
adj
2
= 0.98. It was also compared with previous correlations.
Diagnostic accuracy of periapical radiography and panoramic radiography in the detection of apical periodontitis: a systematic review and meta-analysis
Authors: Stera Giulio , Giusti Martina , Magnini Andrea , Calistri Linda , Izzetti Rossana , Nardi Cosimo 
Published: September 2024

Abstract
Objective
Apical periodontitis (AP) is one of the most common pathologies of the oral cavity. An early and accurate diagnosis of AP lesions is crucial for proper management and planning of endodontic treatments. This study investigated the diagnostic accuracy of periapical radiography (PR) and panoramic radiography (PAN) in the detection of clinically/surgically/histopathologically confirmed AP lesions.

Method
A systematic literature review was conducted in accordance with the PRISMA guidelines. The search strategy was limited to English language articles via PubMed, Embase and Web of Science databases up to June 30, 2023. Such articles provided diagnostic accuracy values of PR and/or PAN in the detection of AP lesions or alternatively data needed to calculate them.

Results
Twelve studies met inclusion criteria and were considered for the analysis. The average value of diagnostic accuracy in assessing AP lesions was 71% for PR and 66% for PAN. According to different accuracy for specific anatomical areas, it is recommended to use PR in the analysis of AP lesions located in the upper arch and lower incisor area, whereas lower premolar and molar areas may be investigated with the same accuracy with PR or PAN.

Conclusions
Two-dimensional imaging must be considered the first-level examination for the diagnosis of AP lesions. PR had an overall slightly higher diagnostic accuracy than PAN. Evidence from this review provided a useful tool to support radiologists and dentists in their decision-making when inflammatory periapical bone lesions are suspected to achieve the best clinical outcome for patients, improving the quality of clinical practice.
Marginal models with individual-specific effects for the analysis of longitudinal bipartite networks
Authors: Bartolucci Francesco , Mira Antonietta , Peluso Stefano 
Published: September 2024

AbstractA new modeling framework for bipartite social networks arising from a sequence of partially time-ordered relational events is proposed. We directly model the joint distribution of the binary variables indicating if each single actor is involved or not in an event. The adopted parametrization is based on first- and second-order effects, formulated as in marginal models for categorical data and free higher order effects. In particular, second-order effects are log-odds ratios with meaningful interpretation from the social perspective in terms of tendency to cooperate, in contrast to first-order effects interpreted in terms of tendency of each single actor to participate in an event. These effects are parametrized on the basis of the event times, so that suitable latent trajectories of individual behaviors may be represented. Inference is based on a composite likelihood function, maximized by an algorithm with numerical complexity proportional to the square of the number of units in the network. A classification composite likelihood is used to cluster the actors, simplifying the interpretation of the data structure. The proposed approach is illustrated on simulated data and on a dataset of scientific articles published in four top statistical journals from 2003 to 2012.
Phase-Field Modeling of Kinetics of Diffusive Phase Transformation in Compositionally-Graded Ni-Based Superalloys
Authors: Riyahi khorasgani Ahmadreza , Younan Micheal , Steinbach Ingo , Kundin Julia 
Published: September 2024

AbstractKinetics of the $$\gamma$$
γ
/$$\gamma ^{\prime}$$

γ
′

phase transformation and the interdiffusion phenomena in single-crystal Ni-based superalloys, under isothermal annealing and composition gradient, is investigated through the phase-field and continuum diffusion models. The employed models in the present work exploit CALPHAD-based thermodynamics and kinetics databases, in order to perform realistic simulations. We specifically predict the interdiffusion of elements for a hypothetical alloy AlCoCrTaNi/Ni diffusion couple, equivalent to the CMSX-10/Ni diffusion couple, at 1323 K. Accordingly, the phase fraction and morphology of $$\gamma ^{\prime}$$

γ
′

precipitations in the $$\gamma$$
γ
matrix is simulated as well. The implemented multi-component diffusion model takes into account vacancies and pore formation, reflecting Kirkendall effect. Furthermore, the time evolution of morphology parameters of the precipitate-depleted zone in the diffusive region (i.e., the position and the size) are estimated.
Clinical characteristics and prognostic impact of atrial fibrillation among older patients with heart failure with preserved ejection fraction hospitalized for acute heart failure
Authors: De Matteis Giuseppe , Burzo Maria Livia , Serra Amato , Della Polla Davide Antonio , Nicolazzi Maria Anna , Simeoni Benedetta , Gasbarrini Antonio , Franceschi Francesco , Gambassi Giovanni , Covino Marcello 
Published: September 2024

Abstract
Heart failure with preserved ejection fraction (HFpEF) and atrial fibrillation (AF) are often coexisting conditions, but their interrelationship has not yet been clarified. This study investigated the clinical characteristics and prognostic impact of AF among older patients with HFpEF hospitalized for acute HF (AHF). The study included patients 65 years of age and older who were admitted to the Emergency Department due to AHF from 1 January 2016 to 31 December 2019. Patients were divided into two groups according to the presence of AF. The primary endpoint was all-cause, in-hospital mortality. Overall, 770 patients with HFpEF were included, mean age 82 years, 53% were females. Nearly, a third (30%) of these patients had a concomitant AF and they were significantly older and had higher N-Terminal pro-B-type natriuretic peptide (NT-proBNP) values. Overall, the in-hospital mortality rate was much higher among HFpEF patients with AF compared to those without AF (11.4% vs 6.9%, respectively; p = 0.037). At multivariate analysis, AF emerged as an independent risk factor for death (OR 1.73 [1.03–2.92]; p = 0.038). Among older patients with HFpEF admitted for AHF, the coexistence of AF was associated with a nearly twofold increased risk of all-cause in-hospital mortality. Patients with HFpEF and AF describe a phenotype of older and more symptomatic patients, with higher NT-proBNP, left atrial enlargement, right ventricular dysfunction, and higher CV mortality.
Multiplex measures for higher-order networks
Authors: Lotito Quintino Francesco , Montresor Alberto , Battiston Federico 
Published: September 2024

AbstractA wide variety of complex systems are characterized by interactions of different types involving varying numbers of units. Multiplex hypergraphs serve as a tool to describe such structures, capturing distinct types of higher-order interactions among a collection of units. In this work, we introduce a comprehensive set of measures to describe structural connectivity patterns in multiplex hypergraphs, considering scales from node and hyperedge levels to the system’s mesoscale. We validate our measures with three real-world datasets: scientific co-authorship in physics, movie collaborations, and high school interactions. This validation reveals new collaboration patterns, identifies trends within and across movie subfields, and provides insights into daily interaction dynamics. Our framework aims to offer a more nuanced characterization of real-world systems marked by both multiplex and higher-order interactions.
From traditional packaging to smart bio-packaging for food safety: a review
Authors: Siciliano Sarah , Lopresto Catia Giovanna , Lamonaca Francesco 
Published: September 2024

AbstractThe need to urgently find alternative plant-based biodegradable fibres is not just important, it is a pressing necessity. The severe environmental damage caused by plastic packaging materials demands immediate action. It is a responsibility that everybody should share to reduce the global plastic pollution rate and environmental footprint. Biodegradable films from natural and waste products have gained considerable consideration for their ability to guarantee optimal product conservation while avoiding any risk of contamination or intoxication. Therefore, this overview addresses recent developments in food packaging and the application of sensors to indicate possible packed food spoilage. The new role of food packaging was discussed widely, from traditional to bio-based, active and intelligent packaging. Until a few years ago, food packaging had the sole purpose of protecting food from external contamination. However, the barrier effect is no longer enough: the packaging should act directly on the food and the surrounding space. The interesting innovation that responds to this need is active and intelligent packaging, a market with solid growth in recent years. It allows the enhancement of food conservation and the detection of pathogens while maintaining good monitoring of the environment inside the package, continuously recording the food conditions. This more complete and interactive information is recorded thanks to special analytical devices: sensors. They can detect and transmit a message to the consumer about food quality, freshness and safety, thanks to the ability to record internal and external changes in the product’s environment. However, these devices are not free from limitations, such as costs and performance, which limit their wider use.
On Negative Conglomerability
Authors: Miranda Enrique , Zaffalon Marco 
Published: September 2024

AbstractWe focus on the notion of negative conglomerability. This is far less known than its counterpart, conglomerability. Both relate to the combination of conditional and unconditional information, with the latter taking in particular a foundational role in the special case of infinite partitions of the possibility space. The two notions look superficially very similar and are even equivalent in the case of precise probabilistic models. In the present paper, we do a thorough technical study of their relations with other main concepts in the literature, such as marginal extension and dilation, both in the precise and imprecise case. Moreover, we discuss why they are somewhat surprisingly different from the prescriptive point of view, in that conglomerability has a rationality stance that its negative counterpart has not.
NORMALISATION FOR NEGATIVE FREE LOGICS WITHOUT AND WITH DEFINITE DESCRIPTIONS
Authors: KÜRBIS NILS 
Published: September 2024

Abstract
This paper proves normalisation theorems for intuitionist and classical negative free logic, without and with the operator for definite descriptions. Rules specific to free logic give rise to new kinds of maximal formulas additional to those familiar from standard intuitionist and classical logic. When is added it must be ensured that reduction procedures involving replacements of parameters by terms do not introduce new maximal formulas of higher degree than the ones removed. The problem is solved by a rule that permits restricting these terms in the rules for

$\forall $

,

$\exists $

and to parameters or constants. A restricted subformula property for deductions in systems without is considered. It is improved upon by an alternative formalisation of free logic building on an idea of Jaśkowski’s. In the classical system the rules for require treatment known from normalisation for classical logic with

$\lor $

or

$\exists $

. The philosophical significance of the results is also indicated.
Geographic Variations in Urban‐Rural Particulate Matter (PM2.5) Concentrations in the United States, 2010–2019
Authors: Kilpatrick Daniel J. , Hung Peiyin , Crouch Elizabeth , Self Stella , Cothran Jeremy , Porter Dwayne E. , Eberth Jan M. 
Published: September 2024

AbstractFine particulate matter 2.5 (PM2.5) is a widely studied pollutant with substantial health impacts, yet little is known about the urban‐rural differences across the United States. Trends of PM2.5 in urban and rural census tracts between 2010 and 2019 were assessed alongside sociodemographic characteristics including race/ethnicity, poverty, and age. For 2010, we identified 13,474 rural tracts and 59,065 urban tracts. In 2019, 13,462 were rural and 59,055 urban. Urban tracts had significantly higher PM2.5 concentrations than rural tracts during this period. Levels of PM2.5 were lower in rural tracts compared to urban and fell more rapidly in rural than urban. Rural tract annual means for 2010 and 2019 were 8.51 [2.24] μg/m3 and 6.41 [1.29] μg/m3, respectively. Urban tract annual means for 2010 and 2019 were 9.56 [2.04] μg/m3 and 7.51 [1.40] μg/m3, respectively. Rural and urban majority Black communities had significantly higher PM2.5 pollution levels (10.19 [1.64] μg/m3 and 9.79 [1.10] μg/m3 respectively), in 2010. In 2019, they were: 7.75 [1.1] μg/m3 and 7.09 [0.78] μg/m3, respectively. Majority Hispanic communities had higher PM2.5 levels and were the highest urban concentration among all races/ethnicities (8.01 [1.73] μg/m3), however they were not the highest rural concentration among all races/ethnicities (6.22 [1.60] μg/m3) in 2019. Associations with higher levels of PM2.5 were found with communities in the poorest quartile and with higher proportions of residents age<15 years old. These findings suggest greater protections for those disproportionately exposed to PM2.5 are needed, such as, increasing the availability of low‐cost air quality monitors.