bluuebunny/crossref_metadata_2025_split huggingface dataset:
Non‐performance loans, operation, and recycle efficiency analysis—Dynamic Two‐stage Directional Distance Function Recycle with Assurance Regions model
Authors: Liao Su‐Chuan , Lin Tai‐Yu , Chang Tzu‐Han , Chiu Yung‐ho 
Published: November 2023

AbstractPrevious studies have failed to analyze a bank's operation performance and non‐performing loans at the same time. Therefore, this research uses the Dynamic Two‐stage directional distance function (DDF) Recycle with Assurance Regions (ARs) model to explore the efficiency of Taiwanese banks in their operation stage and recycling stage. The research results are as follows. (1) The six‐year overall average efficiency is .7966. Taipei Star Bank has the best efficiency, and Fubon, Bank SinoPac, and Union Bank have the worst efficiency rankings. (2) Most banks have good efficiency in the operation stage, while efficiency in the recovery cycle stage fluctuates.
Critical analysis of the thermal stability of transesterification vitrimers for 3D‐printing applications based on digital light processing
Authors: Romano Angelo , Konuray Osman , Román Frida , Calventus Yolanda , Fernández‐Francos Xavier , Roppolo Ignazio , Sangermano Marco 
Published: November 2023

Abstract3D‐printable vitrimers processed by digital light processing (DLP) have been recently developed, based on the transesterification reaction of β‐hydroxyester structures from mono‐ and diacrylate monomers employed in the formulation. These materials show promising repairability and recyclability, in addition to other interesting features such as shape memory and shape reconfigurability. It has been reported that structural changes taking place due to transesterification promote network rearrangement and an enhancement of the thermomechanical properties. However, the elevated temperatures required for the network reconfiguration cast some doubts on their applicability in real‐life scenarios. In this paper, we analyze the effect of the thermal treatment on the thermomechanical properties and relaxation behavior of these materials and discuss the underlying mechanism explaining the observed changes. We identify some critical issues related to use of a monoacrylate containing β‐hydroxyester moieties, and propose solutions to overcome the most relevant drawbacks. © 2023 The Authors. Polymer International published by John Wiley & Sons Ltd on behalf of Society of Industrial Chemistry.
Application of nonthermal atmospheric‐pressure plasma irradiation as a new method for noncatalytic liquid‐phase selective oxidation of polyhydric alcohols
Authors: Chida Tsutomu , Hiromori Kousuke , Shibasaki‐Kitakawa Naomi , Sasaki Shota , Kaneko Toshiro , Takahashi Atsushi 
Published: November 2023

AbstractWe have developed a new liquid‐phase noncatalytic selective oxidation of polyhydric alcohols such as glycerol. This method involves the use of a nonthermal atmospheric‐pressure plasma instead of precious‐metal catalysts. We found that noncatalytic selective oxidation of glycerol achieved a conversion comparable to that achieved by gold‐catalyzed oxidation, and the desired glyceric acid, which is a pharmaceutical raw material, was obtained. When the solution pH was changed from strongly alkaline to neutral, the main reaction switched from the one that occurs in the presence of gold catalysts to the one that occurs in the presence of platinum catalysts. These results suggest that the reactive oxygen species generated by nonthermal atmospheric‐pressure plasma irradiation vary depending on the solution pH.
Investing in general human capital as a relational strategy: Evidence on flexible arrangements with contract workers
Authors: Teodorovicz Thomaz , Lazzarini Sérgio , Cabral Sandro , McGahan Anita M. 
Published: November 2023

AbstractResearch SummaryThis article examines a firm's investment in the general skills of contract workers in flexible work arrangements. It theorizes that this investment may prolong a productive firm‐worker collaboration even when workers’ mobility barriers are low. It also proposes that achieving such benefits requires that the firm frames the relational benefits of the investments both to managers and workers. Such a “relational framing” mitigates worker concerns about subsequent productivity demands and manager concerns about worker mobility. Experimental and non‐experimental studies conducted in a multinational cosmetics direct sales company support the theory. Investments in the general skills of workers—even those in flexible work arrangements—can benefit both firms and workers by deepening the firm‐worker relationship while increasing value creation.Managerial SummaryShould companies train workers in general skills if the workers can easily leave and transfer productivity gains to competing firms? A common answer to this question is “no,” especially when targeting workers hired under flexible arrangements, such as gig workers and direct sales representatives. This article offers a different perspective. It predicts that these investments signal a company's commitment to nurture workers’ development. In turn, workers reciprocate by prolonging a more productive collaboration. Training thus benefits workers and companies. Using relational terms to frame training programs enables the promotion by managers of training opportunities, and uptake by workers. This framing overcomes managerial concerns about worker exit and worker concerns about subsequent productivity demands. Studies conducted in a multinational cosmetics direct sales company support these arguments.
Classical dynamics of vortex solitons from perturbative scattering amplitudes
Authors: Jones Callum R. T. 
Published: November 2023

Abstract
We introduce a novel point-particle effective description of ANO vortex solitons in the critical Abelian Higgs Model (AHM) in d = 2 + 1 based on the small winding expansion. Identifying the effective vortices with the elementary quanta of a complex scalar field, relativistic vortex-vortex scattering amplitudes are calculated as a diagrammatic, perturbative expansion in the winding number N. Making use of powerful techniques recently developed for analyzing the post-Minkowskian two-body problem in general relativity, we efficiently extract the contribution to the loop integrals from the classical potential region, with the resulting velocity expansion subsequently resummed to all orders. The main result of this paper is an analytic expression for the classical, vortex-vortex potential at $$ \mathcal{O} $$
O
(N2), or one-loop, with exact velocity dependence. By truncating the resulting effective Hamiltonian at $$ \mathcal{O} $$
O
(p2) we derive an analytic, perturbative expression for the metric on the 2-vortex moduli space. Finally, the emergence of the critical AHM from the classical limit of the $$ \mathcal{N} $$
N
= 2 supersymmetric AHM, and the resulting constraints on the point-particle EFT is described in detail using an on-shell superspace construction for BPS states in d = 2 + 1.
Krylov complexity in the IP matrix model. Part II
Authors: Iizuka Norihiro , Nishida Mitsuhiro 
Published: November 2023

Abstract
We continue the analysis of the Krylov complexity in the IP matrix model. In a previous paper, [1], for a fundamental operator, it was shown that at zero temperature, the Krylov complexity oscillates and does not grow, but in the infinite temperature limit, the Krylov complexity grows exponentially in time as $$ \sim \exp \left(\mathcal{O}\left(\sqrt{t}\right)\right) $$
∼
exp

O

t

. We study how the Krylov complexity changes from a zero-temperature oscillation to an infinite-temperature exponential growth. At low temperatures, the spectral density is approximated as collections of infinite Wigner semicircles. We showed that this infinite collection of branch cuts yields linear growth to the Lanczos coefficients and gives exponential growth of the Krylov complexity. Thus the IP model for any nonzero temperature shows exponential growth for the Krylov complexity even though the Green function decays by a power law in time. We also study the Lanczos coefficients and the Krylov complexity in the IOP matrix model taking into account the 1/N2 corrections. There, the Lanczos coefficients are constants and the Krylov complexity does not grow exponentially as expected.
Functional assessment and outcome following surgical treatment of displaced tibial plateau fractures: a retrospective analysis
Authors: Gahr Patrick , Mittlmeier Thomas , Grau Anja , Herlyn Philipp K. E. , Rahn Anja , Fischer Dagmar-C. 
Published: November 2023

Abstract
Purpose
Patients with tibial plateau fractures (TPF) are at risk of long-term hampered bipedal locomotion. A retrospective single-center study using patient-related outcome measures and a sophisticated assessment of walking abilities was conducted.

Methods
Adults receiving surgical treatment of an isolated TPF between January 2012 and December 2016 received the KOOS questionnaire together with the invitation for an extensive follow-up examination on the clinical outcome including standardized assessment of the walking abilities (loadsol® system). Outcome was assessed relative to the severity of the injury or time to follow-up. Fractures were classified according to AO/OTA and Luo, respectively.

Results
58 out of 132 eligible patients filled in the questionnaire and participated at a median follow-up of 3.05 years after injury. For the categories “pain”, “mobility”, and “daily life activities”, all patients were rather satisfied and this was virtually not related to the time between fracture and assessment. Relevant limitations were reported for “sports and recreational activities” and “quality of life”. Loading of the previously fractured leg was most evidently changed on stairs and outdoor walking. Outcome was not related to either fracture type severity or time from injury.

Conclusion
Outcome after an isolated TPF is neither related to fracture type, severity of the fracture nor time from injury. Simple gait analysis techniques relying on different tasks appear to yield a more sophisticated image on functional deficits after TPF than classical exam of ground-level walking and correlate quite well with validated patient-related outcome measures as the KOOS.
Artificial intelligence‐based analyses of varus leg alignment and after high tibial osteotomy show high accuracy and reproducibility
Authors: Stotter Christoph , Klestil Thomas , Chen Kenneth , Hummer Allan , Salzlechner Christoph , Angele Peter , Nehrer Stefan 
Published: November 2023

AbstractPurposeThe aim of this study was to investigate the performance of an artificial intelligence (AI)‐based software for fully automated analysis of leg alignment pre‐ and postoperatively after high tibial osteotomy (HTO) on long‐leg radiographs (LLRs).MethodsLong‐leg radiographs of 95 patients with varus malalignment that underwent medial open‐wedge HTO were analyzed pre‐ and postoperatively. Three investigators and an AI software using deep learning algorithms (LAMA™, ImageBiopsy Lab, Vienna, Austria) evaluated the hip–knee–ankle angle (HKA), mechanical axis deviation (MAD), joint line convergence angle (JLCA), medial proximal tibial angle (MPTA), and mechanical lateral distal femoral angle (mLDFA). All measurements were performed twice and the performance of the AI software was compared with individual human readers using a Bayesian mixed model. In addition, the inter‐observer intraclass correlation coefficient (ICC) for inter‐observer reliability was evaluated by comparing measurements from manual readers. The intra‐reader variability for manual measurements and the AI‐based software was evaluated using the intra‐observer ICC.ResultsInitial varus malalignment was corrected to slight valgus alignment after HTO. Measured by the AI algorithm and manually HKA (5.36° ± 3.03° and 5.47° ± 2.90° to − 0.70 ± 2.34 and − 0.54 ± 2.31), MAD (19.38 mm ± 11.39 mm and 20.17 mm ± 10.99 mm to − 2.68 ± 8.75 and − 2.10 ± 8.61) and MPTA (86.29° ± 2.42° and 86.08° ± 2.34° to 91.6 ± 3.0 and 91.81 ± 2.54) changed significantly from pre‐ to postoperative, while JLCA and mLDFA were not altered. The fully automated AI‐based analyses showed no significant differences for all measurements compared with manual reads neither in native preoperative radiographs nor postoperatively after HTO. Mean absolute differences between the AI‐based software and mean manual observer measurements were 0.5° or less for all measurements. Inter‐observer ICCs for manual measurements were good to excellent for all measurements, except for JLCA, which showed moderate inter‐observer ICCs. Intra‐observer ICCs for manual measurements were excellent for all measurements, except for JLCA and for MPTA postoperatively. For the AI‐aided analyses, repeated measurements showed entirely consistent results for all measurements with an intra‐observer ICC of 1.0.ConclusionsThe AI‐based software can provide fully automated analyses of native long‐leg radiographs in patients with varus malalignment and after HTO with great accuracy and reproducibility and could support clinical workflows.Level of evidenceDiagnostic study, Level III.
Continuous renal replacement therapy in neonates and children: what does the pediatrician need to know? An overview from the Critical Care Nephrology Section of the European Society of Paediatric and Neonatal Intensive Care (ESPNIC)
Authors: Cortina Gerard , Daverio Marco , Demirkol Demet , Chanchlani Rahul , Deep Akash 
Published: November 2023

AbstractContinuous renal replacement therapy (CRRT) is the preferred method for renal support in critically ill and hemodynamically unstable children in the pediatric intensive care unit (PICU) as it allows for gentle removal of fluids and solutes. The most frequent indications for CRRT include acute kidney injury (AKI) and fluid overload (FO) as well as non-renal indications such as removal of toxic metabolites in acute liver failure, inborn errors of metabolism, and intoxications and removal of inflammatory mediators in sepsis. AKI and/or FO are common in critically ill children and their presence is associated with worse outcomes. Therefore, early recognition of AKI and FO is important and timely transfer of patients who might require CRRT to a center with institutional expertise should be considered. Although CRRT has been increasingly used in the critical care setting, due to the lack of standardized recommendations, wide practice variations exist regarding the main aspects of CRRT application in critically ill children. Conclusion: In this review, from the Critical Care Nephrology section of the European Society of Paediatric and Neonatal Intensive Care (ESPNIC), we summarize the key aspects of CRRT delivery and highlight the importance of adequate follow up among AKI survivors which might be of relevance for the general pediatric community.

What is Known:• CRRT is the preferred method of renal support in critically ill and hemodynamically unstable children in the PICU as it allows for gentle removal of fluids and solutes.• Although CRRT has become an important and integral part of modern pediatric critical care, wide practice variations exist in all aspects of CRRT.

What is New:• Given the lack of literature on guidance for a general pediatrician on when to refer a child for CRRT, we recommend timely transfer to a center with institutional expertise in CRRT, as both worsening AKI and FO have been associated with increased mortality.• Adequate follow-up of PICU patients with AKI and CRRT is highlighted as recent findings demonstrate that these children are at increased risk for adverse long-term outcomes.
What makes life for process mining analysts difficult? A reflection of challenges
Authors: Zimmermann Lisa , Zerbato Francesca , Weber Barbara 
Published: November 2023

AbstractOver the past few years, several software companies have emerged that offer process mining tools to assist enterprises in gaining insights into their process executions. However, the effective application of process mining technologies depends on analysts who need to be proficient in managing process mining projects and providing process insights and improvement opportunities. To contribute to a better understanding of the difficulties encountered by analysts and to pave the way for the development of enhanced and tailored support for them, this work reveals the challenges they perceive in practice. In particular, we identify 23 challenges based on interviews with 41 analysts, which we validate using a questionnaire survey. We provide insights into the relevancy of the process mining challenges and present mitigation strategies applied in practice to overcome them. While mitigation strategies exist, our findings imply the need for further research to provide support for analysts along all phases of process mining projects on the individual level, but also the technical, group, and organizational levels.
A Study on Ikaite Growth in the Presence of Phosphate
Authors: Strohm Samuel B. , Saldi Giuseppe D. , Mavromatis Vasileios , Schmahl Wolfgang W. , Jordan Guntram 
Published: November 2023

AbstractPhosphate is a common component in natural growth solutions of ikaite. Although phosphate often occurs as a minor constituent, its presence may promote the formation of ikaite as it significantly inhibits the precipitation of calcite. The interactions of phosphate with ikaite and the role of a potential uptake of phosphate by ikaite, however, are poorly understood. In this study, the influence of phosphate on ikaite growth at 1 °C was investigated. Ikaite- and calcite-seeded growth experiments were conducted in cryo-mixed-flow reactors at saturation ratios 1.5 ≤ Ωikaite ≤ 2.9 (Ω = ionic activity product/solubility product). From these growth experiments, the rate constant k = 0.10 ± 0.03 µmol/m2/s and the reaction order n = 0.8 ± 0.3 were derived for ikaite. The reaction order implies a transport- or adsorption-controlled growth mechanism which supports a low energy pathway of ikaite growth via an attachment of hydrous CaCO30 complexes without any extensive dehydration of aqueous species as, for instance, required for calcite growth. A potential depletion of aqueous phosphate due to an uptake by ikaite growth was not detectable. Furthermore, growth retardation by phosphate, as known for calcite growth, was not evident. Thus, a significant incorporation of phosphate into growing ikaite could be precluded for the conditions applied in this study. The observed lack of incorporation of phosphate agrees with the previously suggested growth mechanism via the attachment of hydrous CaCO30 complexes which likely does not facilitate substantial substitution of carbonate by phosphate ions.
Preservation of Sensitive Data Using Multi-Level Blockchain-based Secured Framework for Edge Network Devices
Authors: Awasthi Charu , Mishra Prashant Kumar , Pal Pawan Kumar , Khan Surbhi Bhatia , Agarwal Ambuj Kumar , Gadekallu Thippa Reddy , Malibari Areej A. 
Published: November 2023

AbstractThe proliferation of IoT devices has influenced end users in several aspects. Yottabytes (YB) of information are being produced in the IoT environs because of the ever-increasing utilization capacity of the Internet. Since sensitive information, as well as privacy problems, always seem to be an unsolved problem, even with best-in-class in-formation governance standards, it is difficult to bolster defensive security capabilities. Secure data sharing across disparate systems is made possible by blockchain technology, which operates on a decentralized computing paradigm. In the ever-changing IoT environments, blockchain technology provides irreversibility (immutability) usage across a wide range of services and use cases. Therefore, blockchain technology can be leveraged to securely hold private information, even in the dynamicity context of the IoT. However, as the rate of change in IoT networks accelerates, every potential weak point in the system is exposed, making it more challenging to keep sensitive data se-cure. In this study, we adopted a Multi-level Blockchain-based Secured Framework (M-BSF) to provide multi-level protection for sensitive data in the face of threats to IoT-based networking systems. The envisioned M-BSF framework incorporates edge-level, fog-level, and cloud-level security. At edge- and fog-level security, baby kyber and scaling kyber cryptosystems are applied to ensure data preservation. Kyber is a cryptosystem scheme that adopts public-key encryption and private-key decryption processes. Each block of the blockchain uses the cloud-based Argon-2di hashing method for cloud-level data storage, providing the highest level of confidentiality. Argon-2di is a stable hashing algorithm that uses a hybrid approach to access the memory that relied on dependent and independent memory features. Based on the attack-resistant rate (> 96%), computational cost (in time), and other main metrics, the proposed M-BSF security architecture appears to be an acceptable alternative to the current methodologies.
Privacy-aware document retrieval with two-level inverted indexing
Authors: Qiao Yifan , Ji Shiyu , Wang Changhai , Shao Jinjin , Yang Tao 
Published: November 2023

AbstractPrevious work on privacy-aware ranking has addressed the minimization of information leakage when scoring top k documents, and has not studied on how to retrieve these top documents and their features for ranking. This paper proposes a privacy-aware document retrieval scheme with a two-level inverted index structure. In this scheme, posting records are grouped with bucket tags and runtime query processing produces query-specific tags in order to gather encoded features of matched documents with a privacy protection during index traversal. To thwart leakage-abuse attacks, our design minimizes the chance that a server processes unauthorized queries or identifies document sharing across posting lists through index inspection or across-query association. This paper presents the evaluation and analytic results of the proposed scheme to demonstrate the tradeoffs in its design considerations for privacy, efficiency, and relevance.