bluuebunny/crossref_metadata_2025_split huggingface dataset:
Working principle of agile capabilities for emergency response during cyclones and floods
Authors: John Joshin , Eappen Neetha J. 
Published: December 2023

PurposeThis paper investigates how agile capabilities in humanitarian settings work in combination, and its effects on performance outcome. The study was conducted in the frame of reference of response operations during cyclones and floods, which is considered most complex and with the most widespread impact.Design/methodology/approachA survey-based method was used to collect empirical data on response operations from 131 field officers who were involved in disaster response during cyclones or floods. A partial least square based structural equation model was used to study the path model of interaction of agile capabilities, and their effect on performance outcomes.FindingsThe results show that integration of agile capabilities is important for enhancing effectiveness of humanitarian response. The results indicated a serial mediation effect involving visibility, responsiveness and flexibility capability on the effectiveness of emergency response.Research limitations/implicationsThis research has implications for response units of humanitarian organisations. This includes capacity building for key agile capabilities, integration, supply chain re-configuration and differential positioning of response phase as against preparedness and recovery phases.Originality/valueThis study is unique for the chosen humanitarian setting, which is considered most difficult. The authors demonstrate from empirical evidence the interaction effects of agile capabilities during response phase for cyclones and floods, and their impact. The research insights will help practitioners to configure and position supply chains for better effectiveness during response operations, which have markedly different objectives vis-à-vis other phases or types of humanitarian settings.
Four System Enablers of Large‐System Transformation in Health Care: A Mixed Methods Realist Evaluation
Authors: FRANCIS‐AUTON EMILIE , LONG JANET C. , SARKIES MITCHELL , ROBERTS NATALIE , WESTBROOK JOHANNA , LEVESQUE JEAN‐FREDERIC , WATSON DIANE E. , HARDWICK REBECCA , HIBBERT PETER , POMARE CHIARA , BRAITHWAITE JEFFREY 
Published: December 2023

Policy Points
The implementation of large‐scale health care interventions relies on a shared vision, commitment to change, coordination across sites, and a spanning of siloed knowledge.
Enablers of the system should include building an authorizing environment; providing relevant, meaningful, transparent, and timely data; designating and distributing leadership and decision making; and fostering the emergence of a learning culture.
Attention to these four enablers can set up a positive feedback loop to foster positive change that can protect against the loss of key staff, the presence of lone disruptors, and the enervating effects of uncertainty.
ContextLarge‐scale transformative initiatives have the potential to improve the quality, efficiency, and safety of health care. However, change is expensive, complex, and difficult to implement and sustain. This paper advances system enablers, which will help to guide large‐scale transformation in health care systems.MethodsA realist study of the implementation of a value‐based health care program between 2017 and 2021 was undertaken in every public hospital (n = 221) in New South Wales (NSW), Australia. Four data sources were used to elucidate initial program theories beginning with a set of literature reviews, a program document review, and informal discussions with key stakeholders. Semistructured interviews were then conducted with 56 stakeholders to confirm, refute, or refine the theories. A retroductive analysis produced a series of context‐mechanism‐outcome (CMO) statements. Next, the CMOs were validated with three health care quality expert panels (n = 51). Synthesized data were interrogated to distill the overarching system enablers.FindingsForty‐two CMO statements from the eight initial program theory areas were developed, refined, and validated. Four system enablers were identified: (1) build an authorizing environment; (2) provide relevant, authentic, timely, and meaningful data; (3) designate and distribute leadership and decision making; and (4) support the emergence of a learning culture. The system enablers provide a nuanced understanding of large‐system transformation that illustrates when, for whom, and in what circumstances large‐system transformation worked well or worked poorly.ConclusionsSystem enablers offer nuanced guidance for the implementation of large‐scale health care interventions. The four enablers may be portable to similar contexts and provide the empirical basis for an implementation model of large‐system value‐based health care initiatives. With concerted application, these findings can pave the way not just for a better understanding of greater or lesser success in intervening in health care settings but ultimately to contribute higher quality, higher value, and safer care.
“Subjectivities, academic work and mothering practice”: Navigating obscure and unspoken disciplines
Authors: O’Shea Michelle , Duffy Sarah , Gilbert Emilee 
Published: December 2023

AbstractA robust and important body of scholarship is exploring the multiple and layered complexities of mothering and paid work. In this paper, we theoretically and empirically contribute to this work by exploring how, at the level of the self, women with children understand themselves in relation to their paid work and their mothering. We have examined this focus using a post‐structural feminist lens inspired by Foucauldian ideas related to the subject and technologies of the self. This perspective has focused our attention on the informal practices in an Australian university workplace, where we locate and problematize tensions between industrial and policy provisions designed to support mothers and mother's everyday workplace experiences. Our findings arise from focus groups, in‐depth interviews, and our personal narrative accounts and elucidate how despite well‐established policy supports, formal and informal workplace practices shape and discipline how mothers come to understand themselves and their paid work in the academy. We find that policy provisions for families in the workplace operate to conceal and legitimate gendered workplace practices, contributing to subjectivities formed through doubt, fear, shame, anxiety, isolation, and guilt. More productively, subjectivities were also born through agency, resistance, and revision, albeit wrapped by additional labor, personal, and professional costs.
Investigation on electric properties of 0.57(Bi0.8La0.2)FeO3‐0.43PbTiO3 porous ceramics prepared by burnable plastic sphere method
Authors: Wang Yongchen , Chen Yulin , Jia Fanhao , Chen Jianguo , Jin Dengren , Wang Yan , Cheng Jinrong 
Published: December 2023

AbstractIn this study, 0.57(Bi0.8La0.2)FeO3‐0.43PbTiO3 (BLF‐PT) porous ceramics were fabricated by the burnable plastic sphere method using polymethyl methacrylate (PMMA) as a pore forming agent. X‐ray diffraction results reveal that BLF‐PT porous ceramics mixed with tetragonal and rhombohedral phases display the single perovskite structure, changing little for different porosities. Scanning electron microscope images show that porosity of BLF‐PT ceramics increases with the increase of PMMA content with average grain size of 3.2–3.5 μm. Different from the continuous decrease of dielectric constant εr and remnant polarization Pr, piezoelectric constant d33 of BLF‐PT porous ceramics increases initially but then drops with the increase of porosity that reaches to the maximum of 230 pC/N at porosity of 8.5 vol.%. The abnormal enhancement of piezoelectric property is attributed to the unique three‐dimensional grid porous ceramic skeleton and uniformly distributed grain size. Moreover, acoustic impedance Z of BLF‐PT porous ceramic is 11.2 MRayls at porosity of 24.3 vol.% comparing with that of 17.7 MRayls for bulk ceramics, which reduces by 58%. BLF‐PT porous ceramics at lower porosity with enhanced piezoelectric and acoustic matching performances have a great potential in the fields of underwater acoustic transducers and medical ultrasonic diagnosis.
Improving functional properties of lupin protein by physical modification: high pressure homogenisation
Authors: Lo Billy , Kasapis Stefan , Farahnaky Asgar 
Published: December 2023

SummaryAqueous dispersions of commercially produced lupin protein isolate with pH 5 and 9 were treated using high pressure homogenisation (HPH) at 25–200 MPa with one to ten homogenisation cycles. Particle size, zeta potential, solubility, molecular weight and rheological properties were analysed. HPH reduced the particle size for lupin protein at pH 5 from 54 to 5 μm and from 14 to <2 μm at pH 9 at 25–100 MPa. However, at 200 MPa, the particle size had less reduction. HPH did not have any significant impact on the zeta potential where it was maintained at −13 mV for pH 5 and −25 mV for pH 9. After HPH, solubility increased significantly for both pH 5 and 9 lupin protein samples. However, prolonged homogenisation decreased solubility. HPH impacted the viscosity of lupin protein at pH 5 and 9, depending on pressure and homogenisation cycles. The highest viscosity (~10 Pa.s) was achieved at 200 MPa with 10 passes. HPH increased the loss modulus where the viscoelastic properties were improved for both pH 5 and 9 at 200 MPa. The storage modulus profile indicated that HPH improved the gelling properties of lupin protein both at pH 5 and 9 at 200 MPa.
Repurchasing probabilistic goods as incentive sensation process for lonely individuals: The roles of liking and wanting
Authors: Hu Anqi , Yuan Ruizhi , Chen Ruolan , Liu Martin J. 
Published: December 2023

AbstractDrawing on incentive sensitization theory, our study focuses on loneliness coping as a goal pursuit or hedonic searching process through consumption of probabilistic goods. We propose that loneliness triggers liking (hedonic feelings) and wanting (desired outcomes), which lead to the repurchase intention of probabilistic goods. We adopt an interview study (N = 20) to explore facets of loneliness, clarifying how customers obtain hedonic feelings and desired outcomes from repurchasing. Follow‐up quantitative studies including an experiment (N = 212) and a survey (N = 575) are employed to validate the differences among facets of loneliness and test the hypothesis. The findings show that liking and wanting mediate the effects of psychological loneliness and emotional loneliness on repurchase intention with respect to probabilistic goods. Furthermore, the results also suggest that perceived loss of control strengthens the effects of loneliness on wanting rather than liking.
Almost strong equilibria for time‐inconsistent stopping problems under finite horizon in continuous time
Authors: Zhou Zhou 
Published: December 2023

AbstractWe consider time‐inconsistent stopping problems for a continuous‐time Markov chain under finite time horizon with non‐exponential discounting. We provide an example indicating that strong equilibria may not exist in general. As a result, we propose a notion of equilibrium called almost strong equilibrium (ASE), which is a weak equilibrium and satisfies the condition of strong equilibria except at the boundary points of the associated stopping region. We provide an iteration procedure and show that this procedure leads to an ASE. Moreover, we prove that this ASE is the unique ASE among all regular stopping policies under finite horizon . In contrast, we show that strong equilibria (and thus ASE) exist and may not be unique for the infinite horizon case . Furthermore, we show that the limit of the finite‐horizon ASE as is a weak equilibrium for the infinite‐horizon problem, and may not be a strong equilibrium or ASE.
Revealing the mobile sensing powers of semi‐random and deterministic “drive‐by” vehicle fleets
Authors: Jiang Jincheng , Wang Junjie , Yao Hongming , Zhang Zhenxin , Xu Zhihua 
Published: December 2023

AbstractThe utilization of mobile sensing through the deployment of sensors on third‐party vehicles that pass by an area offers notable benefits in terms of spatiotemporal coverage, precision, timeliness, and cost‐effectiveness for monitoring urban environments. However, the diverse travel behaviors exhibited by different types of vehicle fleets result in varying levels of sensing powers. Drawing inspiration from these phenomena, this study quantifies and compares the travel patterns and sensing powers of bus and taxi fleets. The experimental findings unveiled several noteworthy laws, such as a diminishing rate of increase in sensing power with the stable increasing vehicle number, the high sensing power exhibited by taxis, the comparable spatial coverage between buses, and the relatively low uncertainty associated with buses' sensing power. Furthermore, the impact of travel patterns (i.e., semi‐random behavior of taxis and deterministic behavior of buses) on the powers of mobile sensing was revealed. The aforementioned findings provide valuable insights for the development of efficient mobile sensing schemes and hold significant relevance for the implementation of smart city infrastructure.
Capabilities of Surface Enhanced Raman Spectroscopy for Identifying Multiple Pigments in a Complex Organic Mixture
Authors: Oleynik E. A. , Kozhina E. P. , Bedin S. A. , Naumov A. V. 
Published: December 2023

Abstract
The authors propose a way of identifying the composition of paints by means of surface enhanced Raman spectroscopy using signal-amplifying substrates with arrays of vertically standing silver nanowires. A model tempera paint based on egg white with inorganic pigments (red lead, massicot, and emerald green) is used to show that with a reduced concentration of pigment, substrates can greatly improve sensitivity when detecting pigments in lower concentrations up to 0.01 g, compared to signals from the Raman scattering of light on foil. Reinforcing substrates allows the sensitivity of the technique to be improved in order to accurately identify components used individually and in mixtures.
Convolutional neural network with binary moth flame optimization for emotion detection in electroencephalogram
Authors: Alwan Tuib Tabarek , Saoudi Baydaa Hadi , Hussein Yaqdhan Mahmood , Mandeel Thulfiqar H. , Al-Dhief Fahad Taha 
Published: December 2023

<span>Electroencephalograph (EEG) signals have the ability of real-time reflecting brain activities. Utilizing the EEG signal for analyzing human emotional states is a common study. The EEG signals of the emotions aren’t distinctive and it is different from one person to another as every one of them has different emotional responses to same stimuli. Which is why, the signals of the EEG are subject dependent and proven to be effective for the subject dependent detection of the Emotions. For the purpose of achieving enhanced accuracy and high true positive rate, the suggested system proposed a binary moth flame optimization (BMFO) algorithm for the process of feature selection and convolutional neural networks (CNNs) for classifications. In this proposal, optimum features are chosen with the use of accuracy as objective function. Ultimately, optimally chosen features are classified after that with the use of a CNN for the purpose of discriminating different emotion states. </span>
Source printer identification using convolutional neural network and transfer learning approach
Authors: F. El Abady Naglaa , H. Zayed Hala , Taha Mohamed 
Published: December 2023

<span>In recent years, Source printer identification has become increasingly important for detecting forged documents. A printer's distinguishing feature is its fingerprints. Each printer has a unique collection of fingerprints on every printed page. A model for identifying the source printer and classifying the questioned document into one of the printer classes is provided by source printer identification. A paper proposes a new approach that trains three different approaches on the dataset to choose the more accurate model for determining the printer's source. In the first, some pre-trained models are used as feature extractors, and support vector machine (SVM) is used to classify the generated features. In the second, we construct a two-dimensional convolutional neural network (2D-CNN) to address the source printer identification (SPI) problem. Instead of SoftMax, 2D-CNN is employed for feature extractors and SVM as a classifier. This approach obtains 93.75% 98.5% accuracy for 2D-CNN-SVM in the experiments. The SVM classifier enhanced the 2D-CNN accuracy by roughly 5% over the initial configuration. Finally, we adjusted 13 already-pre-trained CNN architectures using the dataset. Among the 13 pre-trained CNN models, DarkNet-19 has the greatest accuracy of 99.2 %. On the same dataset, the suggested approaches achieve well in terms of classification accuracy than the other recently released algorithms. </span>
Plasma glial fibrillary acidic protein levels correlate with paramagnetic rim lesions in people with radiologically isolated syndrome
Authors: Schneider Raphael , Brand-Arzamendi Koroboshka , Reynold Lim Timothy , Lee Lisa Eunyoung , Guenette Melanie , Suthiphosuwan Suradech , Bharatha Aditya , Oh Jiwon 
Published: December 2023

Background: There are no specific, evidence-based recommendations for the management of individuals with radiologically isolated syndrome. Imaging and blood biomarkers may have prognostic utility. Objective: To determine whether plasma neurofilament light protein (NfL) or glial fibrillary acidic protein (GFAP) levels in people with radiologically isolated syndrome correlate with imaging measures that have been shown to be associated with negative clinical outcomes in people with multiple sclerosis. Methods: Cross-sectional analysis of people with radiologically isolated syndrome. Participants underwent magnetic resonance imaging (MRI) of the brain and cervical spinal cord, and plasma was collected. Plasma NfL and GFAP levels were measured with a single-molecule array, and correlations with MRI measures were assessed, including the number of: T1-black holes, white-matter lesions demonstrating the central vein sign, paramagnetic rim lesions, cervical spinal cord lesions and infratentorial lesions. Results: Plasma GFAP levels, but not NfL levels, showed correlations with the number of T1-black holes, white matter lesions demonstrating the central vein sign and paramagnetic rim lesions (all p < 0.05). Conclusion: We found correlations between plasma GFAP levels and imaging measures associated with poor clinical outcomes and chronic inflammation in individuals with radiologically isolated syndrome. Plasma GFAP may have prognostic utility in clinical trials and clinical practice.
Patient Reported Outcomes Following Revision Ankle Arthrodesis for Ankle Fusion Non-Union
Authors: Willegger Madeleine , Veljkovic Andrea , Jeyaseelan Lucky , Park Sam Si-Hyeong , Lowe Dani , Younger Alastair , Wing Kevin , Penner Murray 
Published: December 2023

Category: Ankle Arthritis; Hindfoot Introduction/Purpose: Ankle arthrodesis (AA) has, for many years, been considered the gold standard procedure for the surgical treatment of end stage ankle arthritis. Non-union following AA surgery is a devastating complication which subsequently requires revision surgery. However, data on outcomes including patient reported outcome measures (PROMs) following revision ankle arthrodesis (RAA) after failed AA is lacking. The aim of this study is to assess the outcome of RAA for symptomatic non-union after AA including PROMs. Methods: Prospectively collected data from a multicenter database of ankle arthritis surgery was analyzed. Demographic data and PROMs including Ankle Osteoarthritis Scale (AOS) and Short Form-36 (SF-36) health survey were collected at regular intervals. Surgeries were performed by six fellowship-trained foot and ankle surgeons between January 2003 and July 2015. 336 primary AA cases were identified, of which 27 (8%) underwent revision for symptomatic AA non-union. Results: Mean follow-up of 27 AA non-union cases was 5.3 years (2-10). There were 16 (59%) males and 11 (41%) females, with a mean age of 62 years (44 - 81) and a mean BMI of 32 (26.5 – 45), respectively. At index AA, 12 (44%) cases were performed arthroscopically. Twenty-three (84%) AA non-union patients were actively smoking pre- and post-operatively, and 15 (56%) were diabetic. Overall union-rate following RAA was 85% (23/27). For RAA the pre-operative mean AOS score of 64.9 (38.8-81.5) improved to 49.1 (24.1-73) at latest follow-up. SF-36 PCS score improved from 27.2 (21.3 – 38.3) to 33.3 (19.1-54.2) and SF-36 MCS score improved from 41.2 (17.5-60.9) to 46.2 (29.3-65.9). Overall complication rate of RAA was 22%, with a re-operation rate of 15%. Conclusion: Revision ankle arthrodesis (RAA) for ankle fusion non-union resulted in a successful fusion of the ankle in 85% of patients with modest improvement in AOS and SF-36 scores. Indeed, even after successful RAA, patients report pain and disability levels comparable to that reported by primary AA patients pre-operatively. Additionally, complication and re-operation rates of RAA are high. This data emphasizes on the importance of achieving a primary fusion in AA. The presented patient reported outcomes may help the treating surgeon to counsel patients prior to RAA surgery to better set their expectations.
Bone Cutting Efficiency and Heat Generation Using a Traditional Fluted Burr and a Novel Fluteless Resurfacing Tool
Authors: Meldau Jason , LeDuc Ryan , Havey Robert , Muriuki Muturi , Kaczmarz Nadia , Schiff Adam 
Published: December 2023

Category: Basic Sciences/Biologics; Other Introduction/Purpose: Meticulous bone removal is a critical step in many orthopaedic foot and ankle procedures including arthrodesis, decortication, and hardware removal. Power tools, including burrs, allow for increased efficiency and potentially more uniform bone removal; however, due to friction generated, there is a known risk of thermal-induced osteonecrosis. A fluteless resurfacing tool (RT) has been manufactured in hopes of optimizing cutting properties by increasing cutting efficiency and decreasing bone-burr contact heat generation. The purpose of this cadaveric study was to compare the cutting rate and heat generated using a traditional fluted burr (FB) and a fluteless RT on human cadaveric bone (Figure 1). We hypothesized that during bone removal, the fluteless RT would provide faster cutting rates than a traditional burr. Methods: Twenty cadaveric metatarsals were tested with four predetermined cutting forces to evaluate heat generation and cutting rate for the fluted burr and fluteless resurfacing tool over 40 seconds or until a depth of 4 mm was reached. Cutting rate was calculated from displacement transducer data. Heat generation was measured by thermocouples placed in the bone adjacent to the burring site. Assuming a body temperature of 37°C, a 10°C increase in heat was used as the threshold of inducing osteonecrosis. Results: At 1.0 N and 1.7 N, the thermal osteonecrosis threshold was reached at comparable times between burrs, while the bone removed by the resurfacing tool was on average five times greater than fluted burr at 1.0 N and over twice as great at 1.7 N. Statistical analysis of these common cutting forces showed the resurfacing tool had significantly higher cutting rates (P < 0.01). As a result, the fluted burr produced higher temperatures for the same amount of bone removal (P < 0.01). Conclusion: In a cadaveric study, the fluteless resurfacing tool demonstrated higher bone cutting rates and lower heat generation for the same amount of bone removed than a traditional fluted burr.