bluuebunny/crossref_metadata_2025_split huggingface dataset:
Translation and Validation of the Albanian Version of the Psychosocial Impact of Dental Aesthetics Questionnaire in Kosovo
Authors: Shahiqi Donika Ilijazi , Kelmendi Jeta , Anic-Milosevic Sandra 
Published: March 2024

Abstract
Objective Modern orthodontics is shifting from being doctor centric to patient centric, and understanding the impact of malocclusion from patient's perspective is very important. To accomplish this, questionnaires that assess the psychosocial effects of malocclusion must be validated in the original language of the respondents. The purpose of this study is translation, validation, and cross-cultural adaptation of the psychosocial impact of dental aesthetics questionnaire (PIDAQ) into the Albanian language.
Materials and Methods The PIDAQ questionnaire was translated into Albanian, back translated, pretested, cross-culturally adapted, and finally delivered to 130 subjects (38% males) aged between 18 and 30 years (mean age 24.3 ± 3.7). A dentist, previously calibrated, evaluated the orthodontic treatment needs of each subject by using the dental health and aesthetics component of the Orthodontic Treatment Need Index (IOTN). In this study, the internal consistency, test–retest reliability, discriminant validity, and responsiveness were assessed.
Results Albanian version of PIDAQ shows satisfactory internal consistency (α ranging from 0.90 to 0.96) with high test–retest reliability (r > 0.98). The discriminant validity revealed that subjects with minor and severe malocclusion according to IOTN categorization had different PIDAQ scores (p < 0.001). Among the domains of PIDAQ, the subscale of dental self-confidence detected differences in psychosocial impact related to orthodontic treatment during the testing of responsiveness (p < 0.001).
Conclusion The PIDAQ in Albania showed strong psychometric characteristics. It is suitable for use in the Albanian cultural context.
20.2.1.8.15 Synthesis of Carboxylic Acids with Retention of the Functional Group (Update 2024)
Authors: Sawamura M. , Shimizu Y. 
Published: March 2024

AbstractCarboxylic acids are readily available feedstock materials, and are also found in natural products, pharmaceuticals, agrochemicals, and other biologically active compounds. Hence, efficient methods to transform carboxylic acids into other value-added compounds is of great importance. This review is an update to Science of Synthesis Section 20.2.1.8 on the synthesis of carboxylic acids with “retention of the functional group”. The main focus of this review is placed on asymmetric reactions and catalytic reactions, along with practical stoichiometric reactions, reported in the period 2010–2022. The transformations discussed include α-functionalizations, conjugate additions, and C(sp2)—H as well as C(sp3)—H functionalizations.
Which investors support the transition toward a low-carbon economy? Exit and Voice in mutual funds
Authors: Zink Jonas 
Published: March 2024

AbstractReducing portfolio carbon footprints (Exit) and voting in favor of climate-related shareholder proposals (Voice) are among the main actions that investors can take to promote an accelerated transition toward a low-carbon economy. This paper studies three important investor groups that can be instrumental in driving the transition and evaluates their Exit and Voice behavior. I find that the five largest asset managers perform poorly on Exit and Voice over the full sample period but improved on both in more recent years. Only a small fraction of signatories to sustainable investor initiatives are supportive of the transition. Counterintuitively, investors who perform poorly on Exit, perform well on Voice. Finally, I examine the financial consequences of employing Exit and Voice and find that Exit is positively related to risk-adjusted fund returns; however, this is not necessarily attributable to superior skill of fund managers.
Central Bank Digital Currencies and financial integrity: finding a new trade-off between privacy and traceability within a changing financial architecture
Authors: Soana Giulio , de Arruda Thomaz 
Published: March 2024

AbstractIn an increasingly digitised world, and within the new reality of digital finance, a fully digitised public currency seems to be a natural step. To this end, central banks have been testing the possibility to issue a digital form of the traditional fiat currency (so-called Central Bank Digital Currency-CBDC). As these projects steadily progress, and in some cases, reach the implementation phase, a myriad of questions, from legal to macroeconomic, arise. This paper aims to focus, in particular, on two complementary and co-related aspects involving CBCDs: (i) how can the full digitalisation and centralisation of the transaction ledger be combined with privacy and (ii) to what extent CBDCs affect the allocation of burden and the responsibility over supervision of retail transactions. Eminently, the use of cash ensures a form of default privacy that protects the individual against State and private intrusion. While this privacy has caused concern, due to its criminogenic potential, and has been consequently limited by anti-money laundering (AML) regulations, the remaining cone of shadow cash guarantees is a crucial limit to control. In the context of a shifting financial system, undergoing deep transformation due to increasing datafication and decentralisation of the market, a new governance of financial supervision and record-keeping—up to now based on a unique and centralised ledger—is crucial to redefine the trade-off between financial integrity and privacy. This article will examine the origins and characteristics of CBDCs, to then analyse how the trade-off between control and privacy is set to reshape this new architecture.
The determinants of mental well-being of healthcare professionals during the COVID-19 pandemic
Authors: Ceular-Villamandos Nuria , Navajas-Romero Virginia , del Rio Lorena Caridad y Lopez , Vazquez-Garcia Maria Jesus 
Published: March 2024

AbstractIn this study, the objective is to understand the causal factors that influence the mental well-being of healthcare workers during the COVID-19 pandemic, using Karasek’s Job Demand Control Social Model (JDCS) as the research framework. For this purpose the database Eurofound’s Living Working and COVID-19 survey is used; it was carried out using sampling design techniques in all 27 countries of the European Union. A sample of 4626 employees in the health sector is used, and structural equation models are specified to analyze causality. The analysis revealed significant associations between several factors: physical and mental work demands (p < 0.001), availability of personal protective equipment (p = 0.035), support from supervisors (p < 0.001), support from peers (p < 0.001), and age (p < 0.007). These findings, offering valuable insights into understanding and improving the management of health institutions, can serve as a foundation for developing strategies to support and enhance the mental health of healthcare professionals. Ultimately, this benefits both the workforce and the quality of healthcare services provided, particularly in preparing for potential future crises.
Radiological safety assessment for transportation of reactor pressure vessel during decommissioning of a nuclear power plant in Korea
Authors: Kwak Minwoo , Kim Hyeok Jae , Oh Ga-Eun , Shin Sang Won , Kim Kwang Pyo 
Published: March 2024

Abstract
In Korea, decommissioning of nuclear power plants and transportation of the decommissioning waste are expected to expand in the near future. It is necessary to confirm that radiological risks to the public and workers are not significant through radiological safety assessment. The objective of this study is to assess the radiological safety for transportation of RPV waste, which is a major decommissioning waste with relatively high level of radioactivity. It was assumed that the waste would be transported to the Gyeongju disposal facility by land transportation. First, the source term and transportation method of the RPV waste were determined, and the external dose rates from the waste were calculated using MCNP. Then, transportation scenarios were assumed under both normal and accident conditions. Under the scenarios, radiation doses were calculated using the RADTRAN. Under normal operation scenarios without a transportation accident, assuming 40 shipments per year, the average individual doses for the public ranged from 6.56

×

10−6 to 2.18

×

10−2 mSv yr−1. The maximum individual doses for only a single shipment ranged from 2.43

×

10−6 to 3.14

×

10−1 mSv. For cargo handlers and vehicle crew members, the average doses were 2.26

×

101 mSv yr−1 and 2.95 mSv yr−1, respectively. Under transportation accident scenarios, average individual radiological risks which are product of the radiation doses and the annual accident rates ranged from 1.14

×

10−11 to 1.61

×

10−10 mSv yr−1 by transportation route segment when considering the transportation accident rate. Average individual doses assuming transportation accident occurrence ranged from 2.62

×

10−4 to 1.42

×

10−3 mSv. The maximum individual dose under accident conditions was 7.99

×

10−2 mSv. The calculated doses were below the regulatory limits in Korea. However, relatively high doses were observed for cargo handlers and vehicle crew members because of conservative assumptions. This study results can be used as basic data for the radiological safety assessment for the decommissioning waste transportation in the future.
PPP-AR reference satellite selection based on the observation quality factors
Authors: Li Mengyuan , Huang Guanwen , Wang Le , Xie Wei 
Published: March 2024

Abstract
Precise point positioning ambiguity resolution (PPP-AR) can effectively improve positioning accuracy and convergence time. In PPP-AR, the double-difference ambiguity between satellite pairs must be fixed. Therefore, it requires the selection of one satellite as a reference to conduct single-difference observations. Usually, the satellite with the highest elevation is selected as the reference satellite, however, once this satellite has a cycle slip or signal interference, its ambiguity will be reinitialized, resulting in the calculated wide-lane and narrow-lane ambiguities are not accurate enough, which further affects all the ambiguities fixed rates and positioning accuracies. In this contribution, we propose a multi-indicators comprehensive evaluation method of the global navigation satellite system (GNSS) based on entropy weight-grey correlation analysis for reference satellite selection of PPP-AR. The comprehensive evaluation includes the observations index selection, the index normalization, the calculation of index entropy weight and the grey correlation analysis. According to the new method, the quality ranking of satellite observations for each epoch can be obtained, and the observation value with the highest ranking is used as the reference satellite during the PPP-AR. One-week observations from 243 multi-GNSS experiment stations are selected to conduct GPS-only, Galileo-only and BDS-3-only kinematic PPP-AR, and the reference satellite selection method using the highest-elevation and the proposed method is applied, respectively. The results show that the PPP performance for the new method can be improved in the positioning accuracies, convergence time and ambiguity fixed rates. The positioning accuracies of three-dimensional directions can be improved by about 5.54%, 8.81% and 6.02% for GPS, BDS-3 and Galileo, respectively. The average improvements of convergence time in the east, north and up directions are 4.67%, 2% and 4% for GPS, BDS-3 and Galileo, respectively. The ambiguity fixed rates are improved by 7.31%, 6.89% and 1.45% for GPS, BDS-3 and Galileo between the 80%-100% range, respectively.
Robust residual-guided iterative reconstruction for sparse-view CT in small animal imaging
Authors: Zhang Jianru , Wang Zhe , Cao Tuoyu , Cao Guohua , Ren Wuwei , Jiang Jiahua 
Published: March 2024

Abstract

Objective. We introduce a robust image reconstruction algorithm named residual-guided Golub–Kahan iterative reconstruction technique (RGIRT) designed for sparse-view computed tomography (CT), which aims at high-fidelity image reconstruction from a limited number of projection views. Approach. RGIRT utilizes an inner-outer dual iteration framework, with a flexible least square QR (FLSQR) algorithm implemented in the inner iteration and a restarted iterative scheme applied in the outer iteration. The inner FLSQR employs a flexible Golub–Kahan bidiagonalization method to reduce the size of the inverse problem, and a weighted generalized cross-validation method to adaptively estimate the regularization hyper-parameter. The inner iteration efficiently yields the intermediate reconstruction result, while the outer iteration minimizes the residual and refines the solution by using the result obtained from the inner iteration. Main results. The reconstruction performance of RGIRT is evaluated and compared to other reference methods (FBPConvNet, SART-TV, and FLSQR) using projection data from both numerical phantoms and real experimental Micro-CT data. The experimental findings, from testing various numbers of projection views and different noise levels, underscore the robustness of RGIRT. Meanwhile, theoretical analysis confirms the convergence of residual for our approach. Significance. We propose a robust iterative reconstruction algorithm for x-ray CT scans with sparse views, thereby shortening scanning time and mitigating excessive ionizing radiation exposure to small animals.
Stochastic synchronization of Kuramoto-oscillator network with pinning control
Authors: Zhu Jian , Li Shihan , Sun Yongzheng , Shi Hongjun , Ma Caoyuan 
Published: March 2024

Abstract
The issue of time cost for the Kuramoto-oscillator network synchronization has received widespread attention. However, there is no relevant research on the stochastic synchronization of the Kuramoto-oscillator network with partial uncontrollable oscillators. This article investigates the synchronization problem of the Kuramoto-oscillator network in noisy environments using the pinning control strategy and multilayer distributed control. Previous research requires control of all oscillators, which implies a great control cost. To reduce the control cost, the finite/fixed time pinning controllers are designed to provide the conditions for synchronization in noisy environments, and then the upper bounds on the convergence time of the network are estimated. Finally, numerical simulations are performed to justify the theoretical conclusions.
Advanced medical image encryption techniques using the fractional-order Halvorsen circulant systems: dynamics, control, synchronization and security applications
Authors: Yousfi Hasna , Islam Yousuf , He Shaobo , Gasri Ahlem , Mehedi Hassan MD 
Published: March 2024

Abstract
In this paper, we describe the Halvorsen circulant system (HCS) with a fractional-order Caputo derivative and its qualitative properties. The numerical solution of the fractional order Halvorsen circulant system (FO-HCS) is proposed based on the Adomian decomposition method (ADM). The ADM method is used to solve fractional-order systems. Then, dynamics is analyzed using different methods including Lyapunov exponents, bifurcation diagrams, complexity, and phase diagrams. This paper also investigates the stabilization and synchronization of identical FO-HCS, and stability theory proves adaptive feedback control and synchronization. In addition, using the fractional-order system’s remarkable properties to develop the image encryption technique using the extended fractional sequences. The proposed method uses a keystream generator for high security based on the enhanced fractional Halvorsen circulant chaotic behavior. The simulation results confirm that it can resist various attacks, including statistical analysis, differential attacks, brute-force attacks, known plaintext attacks, and chosen plaintext attacks, with high security, and low computational complexity. Finally, the results of the simulation and its performance prove that it's effective and secure in image data.
Persistency of quantum non-multi-local correlations in noisy acyclic networks
Authors: Yang Shuyuan , Hou Jinchuan , He Kan 
Published: March 2024

Abstract
The topic of network quantum nonlocal correlations arises from the large-scale quantum communications. It has been demonstrated that non-m-local correlations (m is the number of sources) in some special kinds of networks will decay under the influence of noises from imperfect devices as these networks extend, including linear and star networks. Furthermore, we observe that under the same noisy level, persistency of non-multi-local correlations in aforementioned different kinds of networks appears obvious discrepancy. Therefore, it becomes a natural and challenging task to check the persistency of non-multi-locality in more complex acyclic network, since star and linear networks can be regarded as acyclic networks. It is worth noting that an acyclic network is one indeterminate forked tree-shaped networks. So the study is focused on the tree-shaped network. We first devote to discussing the determinate forked case. We obtain inequality persistency criteria of determinate k-forked tree-shaped network non-(s

n
(k))-local correlations (s

n
(k) is the number of total sources). We show that the larger the fork number k is larger, the better the non-multi-locality of this network persists. In the indeterminate forked case, the inequality persistency criteria are also established. We observe that the larger the number of parties in the last layer of an acyclic network, the better the non-multi-locality of this network is persisted. This theoretical research may guide us how to build quantum networks with the stronger correlation in practical communications.
Resonant tunnelling of wave packet
Authors: Albaid Abdelhamid 
Published: March 2024

Abstract
This paper examines tunnelling through potential well protected by double barriers as well as the motion of a wave packet encountering this type of potential. Various options for the left and right barriers’ penetration factors are taken into consideration. When one of the penetration factors has limiting value of 0.5, the transmission coefficients turns out to be independent of incoming energy of the particle and the width of potential well. When both penetration factors have a limiting value of 0.5, a scenario similar to resonance tunneling is achieved. Furthermore, by doing the wave packet analysis, we found that the width and height of potential barriers have a negligible impact on the probability of finding the particle inside the potential well in the limit of large penetration factors.
Cauchy matrix approach to three non-isospectral nonlinear Schrödinger equations
Authors: Tefera Alemu Yilma , Li Shangshuai , Zhang Da-jun 
Published: March 2024

Abstract
This paper aims to develop a direct approach, namely, the Cauchy matrix approach, to non-isospectral integrable systems. In the Cauchy matrix approach, the Sylvester equation plays a central role, which defines a dressed Cauchy matrix to provide τ functions for the investigated equations. In this paper, using the Cauchy matrix approach, we derive three non-isospectral nonlinear Schrödinger equations and their explicit solutions. These equations are generically related to the time-dependent spectral parameter in the Zakharov–Shabat–Ablowitz–Kaup–Newell–Segur spectral problem. Their solutions are obtained from the solutions of unreduced non-isospectral nonlinear Schrödinger equations through complex reduction. These solutions are analyzed and illustrated to show the non-isospectral effects in dynamics of solitons.
Equilibrium reconstruction constrained by the consistency of current simulation on EAST
Authors: Qian Z.H. , Xiang N. , Huang Y.H. , Chen J.L. , Zhai X.M. , Ma L.H. , Wu X.M. , Li G. , Li G.Q. , Qian J.P. , Lin G.L. , Jin Y.F. , Zhao H.L. , Ye K.X. , Liu H.Q. , Lyu B. , Zang Q. 
Published: March 2024

Abstract
The attainment of a reliable equilibrium is a critical aspect of tokamak experiments and physics analysis. A common method for establishing a reliable equilibrium current involves reconstructing it from indirect measurements, such as those obtained from polarimeter-interferometers (POINT) and motional Stark effect (MSE) systems. However, uncertainties still exist in the reconstruction results. For the equilibrium reconstruction on the EAST tokamak, which is based on the POINT system, the primary sources of uncertainty are the limited scope of measurements and the sensitivity of the reconstruction process. This paper proposes an enhanced approach that utilizes current simulation as a constraint to maintain consistency between the initial equilibrium and the simulated results. The radio frequency waves driven current is identified as a particularly influential component due to its interaction with the q profiles of the equilibrium and the deposition region of the waves. Two specific discharges are presented to illustrate how a new equilibrium can be achieved, which enhances consistency between the equilibrium and the simulated current, taking into account the dependencies of various components.
Enhancing stance robustness and jump height in bipedal muscle-actuated systems: a bioinspired morphological development approach
Authors: Badie Nadine , Schmitt Syn 
Published: March 2024

Abstract
Recognizing humans’ unmatched robustness, adaptability, and learning abilities across anthropomorphic movements compared to robots, we find inspiration in the simultaneous development of both morphology and cognition observed in humans. We utilize optimal control principles to train a muscle-actuated human model for both balance and squat jump tasks in simulation. Morphological development is introduced through abrupt transitions from a 4 year-old to a 12 year-old morphology, ultimately shifting to an adult morphology. We create two versions of the 4 year-old and 12 year-old models— one emulating human ontogenetic development and another uniformly scaling segment lengths and related parameters. Our results show that both morphological development strategies outperform the non-development path, showcasing enhanced robustness to perturbations in the balance task and increased jump height in the squat jump task. Our findings challenge existing research as they reveal that starting with initial robot designs that do not inherently facilitate learning and incorporating abrupt changes in their morphology can still lead to improved results, provided these morphological adaptations draw inspiration from biological principles.
Modulation of the cold tongue mode (CTM) in tropical cyclone genesis over the western North Pacific during 1975–2021
Authors: Lin Chunqiao , Fan Lingli , Zhu Congwen , Xu Jianjun 
Published: March 2024

Abstract
The cold tongue mode (CTM) in the tropical Pacific enhanced with the global warming in the recent decades. Here, we show that the change of oceanic thermal condition and atmospheric circulation plays a critical role in the tropical cyclones (TCs) genesis in the western North Pacific (WNP). The frequency of TCs in the WNP decreases with its northwest movement, when the CTM transitions from its negative phase in 1975–1997(P1) to positive phase in 1998–2021 (P2). Intercomparison of the TC activities between P1 and P2, we found that the main reason responsible for decreasing of TC genesis is from reducing of meridional and zonal heat transportation. And the northwest movement of TC position is driven by the heat increasing at the western and northern boundary areas. In addition, the northwest movement of TC is dominated by the atmospheric circulation associated with local Walker circulation and Hadley cell.