bluuebunny/crossref_metadata_2025_split huggingface dataset:
Centralized vs. Decoupled Dual-arm Planning Taking into Account Path Quality
Authors: Wittmann Jonas , Ochsenfarth Franziska , Sonneville Valentin , Rixen Daniel 
Published: September 2024

AbstractThe aim of coordinated planning is to avoid robot-to-robot collisions in a multi-robot system, and there are two standard solution approaches: centralized planning and decoupled planning. Our first contribution is a decoupled planning approach that ensures $$\varvec{\mathcal {C}^2}$$

C

2

-continuous control commands with zero velocities and zero accelerations at the start and goal. We benchmark our decoupled approach with a centralized approach. Contrary to literature, we show that for a standard motion planning pipeline, such as the one used by MoveIt!, centralized planning is superior to decoupled planning in dual-arm manipulation: It has a lower computation time and a higher robustness. Our second contribution is an optimization that minimizes the rotational motion of an end-effector while considering obstacle avoidance. We derive the analytic gradients of this optimization problem, making the algorithm suitable for online motion planning. Our optimization extends an existing path quality improvement method. Integrating it into our decoupled approach overcomes its shortcomings and provides a motion planning pipeline that is robust at up to 99.9 % with a planning time of less than 1 s and that computes high-quality paths.
Usury enforcement as an alternative to capital taxation in pre-modern states
Authors: Hendrickson Joshua 
Published: September 2024

AbstractAll governments have an obligation to protect their territory and the wealth within that territory from external predation. In fact, since war has historically resulted in the plunder and destruction of wealth, it seems straightforward to suggest that the cost of providing adequate defense of one’s territory is a function of the accumulated wealth within the territory. Suppose that all wealth in society is capital. The accumulation of capital conveys a private benefit to its owner, but imposes an external cost on society. As with any externality, the optimal tax policy would be to tax capital. The revenue from capital taxation could then be used to finance defense. Such a taxation scheme, however, requires the state has an appropriate level of bureaucratic capacity. During the Middle Ages and the early Renaissance, this sort of state infrastructure did not exist. Yet the rulers of those states faced the same constraint. In this paper, I argue that the enforcement of usury laws during this period replicate the outcome of the optimal capital tax. Lending at interest was prohibited. However, rulers often allowed certain groups to lend in society in exchange for a license fee. This granted monopoly status to lenders. At the same time, rulers imposed binding price ceilings on interest rates. The combination of these three characteristics of enforcement replicate the long-run restriction on capital accumulation of the optimal capital tax and generate revenue that is possibly equivalent to the tax as well. I then model ruler behavior given these incentives. Finally, I use historical evidence from England, Italy, and France to support my argument.
The emergence and evolution of ambiguous ideas: an innovative application of social network analysis to support systematic literature reviews
Authors: Cowhitt Thomas , Brown Joshua Travis , Antonio Anthony Lising 
Published: September 2024

AbstractSystematic literature reviews are attempts to understand conversations between researchers working to develop solutions to common problems. These conversations often stretch back decades and can involve the participation of dozens of authors. Traditional approaches to systematic reviews are ill-equipped to make sense of the sheer volume of relevant literature when exploring the emergence and evolution of ambiguous ideas across large knowledge communities. This article presents three innovative applications of Social Network Analysis (SNA) methods to explore the emergence and evolution of accountability in higher education across a collection of 450 peer-reviewed articles published from 1974-2017 and their corresponding 12,270 references. First, qualitative data from articles and references were integrated into new interactive joint displays called Narrated Network Diagrams, creating opportunities to more accurately assess themes and meanings in literature by connecting structures in co-citation networks with relevant relational stories. Second, time was elevated in the analysis procedure to capture the dynamism of knowledge formation. Third, underutilized descriptive network statistics were applied to the co-citation network analysis to generate new insights such as different mechanisms for authors gaining influence in a knowledge community. Ultimately, this article presents an innovative longitudinal Mixed Methods Social Network Analysis (MMSNA) approach to systematic literature reviews, significantly advancing previous SNA methods integration in this critical research practice.
Plant native: comparing biodiversity benefits, ecosystem services provisioning, and plant performance of native and non-native plants in urban horticulture
Authors: Tartaglia Elena S. , Aronson Myla F.J. 
Published: September 2024

AbstractPlant species used in urban horticulture are frequently non-native despite evidence that urban areas are regular points of introduction, often leading to invasions and negative impacts on biodiversity. Many horticulturalists assert that non-native plants are more successful and provide equal or greater habitat and ecosystem services than native plants. However, little research has compared native and non-native plants in urban systems. We present here a systematic literature review, using the PRISMA methodology, to assess three questions: (1) Is there a difference between native and non-native plants in their ability to support faunal biodiversity in urban green spaces? (2) Is there a difference between native and non-native plants in their provisioning of urban ecosystem services? 3)Do non-native species outperform natives in urban environments in terms of survival, growth, and fitness? We extracted data from 165 total papers. One hundred and twenty studies found that native plants outperform non-native plants on the response metric evaluated in the study, 57 demonstrated mixed impacts, 56 demonstrated no differences among plant origin, and 26 found non-native plants outperformed native plants. We found overwhelming evidence that native plants support higher faunal abundance and diversity than non-native plants in urban landscapes. Relatively few studies examined ecosystem services and plant performance, but we found that native plants support higher levels and diversity of ecosystem services and that many native plants can be used for horticulture, that is, they will survive and thrive in urban conditions. Native plants provide multiple ecosystem functions in urban greenspaces, supporting urban biodiversity and provisioning ecosystem services than non-native plant species and should be prioritized in urban horticulture activities.
Consider or not consider: the unsolved question on the use of radioactive iodine for differentiated thyroid cancer with low to intermediate risk of recurrence
Authors: Malandrino Pasqualino , Tumino Dario , Russo Marco , Le Moli Rosario , Prinzi Antonio , Piticchio Tommaso , Frasca Francesco 
Published: September 2024

Abstract

Background
Surgery stands as the cornerstone treatment for differentiated thyroid cancer (DTC). After surgery, radioactive iodine (RAI) administration is primarily recommended for high-risk patients and commonly employed to address residual disease or mitigate the risk of recurrence. However, the optimal application of RAI in cases categorized as low to intermediate risk is still uncertain. This study aims to assess the indication of post-surgical RAI treatment specifically in patients diagnosed with DTC falling within the low to intermediate risk category for recurrent disease.

Methods
retrospective analysis of consecutive patients with DTC falling within the low to intermediate risk category for recurrence and diagnosed between 2009–2015. Patients were categorized into either treated or untreated with RAI. Treatment effect was assessed by the inverse-probability weighted regression adjustment (IPWRA), by balancing the distribution of factors influencing outcome and treatment assignment.

Results
after surgery, 328 patients (69.9%) were treated with RAI while 141 (30.1%) were left untreated. Across the entire cohort, 44 individuals (9.4%) displayed biochemical or structural disease after a median time of 17.5 months following diagnosis. Recurrent disease was more prevalent in patients who underwent RAI treatment compared to those untreated (12.5% vs 2.1%, respectively, p < 0.001). Factors independently associated with recurrent disease, identified through multivariate logistic regression analysis, included lymph node metastases (pN1) (OR = 4.07; 95% CI 1.84–8.97), male sex (OR = 2.71; 95% CI 1.31–5.59), tumor size (OR = 1.03; 95% CI 1.00–1.06), and microscopic extrathyroidal extension (OR = 2.36; 95% CI 1.15–4.81). IPWRA analysis revealed that the occurrence of recurrent disease was 9.6% (95% CI = 6.3–12.9) in RAI-treated patients and 15.9% (95% CI = 11.1–20.71) in untreated patients (p = 0.021). As a consequence, if all patients underwent RAI treatment, the estimated risk of recurrence would be reduced by 42% (RR = 0.58; 95% CI = 0.35–0.91, p = 0.018). The greatest benefit was observed in patients with 2 intermediate risk factors.

Conclusions
These results suggest that treatment with RAI in low to intermediate DTC can reduce the risk of recurrence in selected patients. However, definitive answers regarding whether to consider RAI therapy for this category of patients can only be attained through prospective clinical trials. Up to date these results recommend a meticulous assessment of tumor characteristics at diagnosis to guide the decision regarding RAI administration.
Learning Decision Criteria from Play
Authors: Galeazzi Paolo , Madsen Mathias W. 
Published: September 2024

AbstractThis paper investigates population games under ambiguity in which players may adopt decision criteria different from one another. After defining equilibria for these situations by extending well-known decision-theoretic criteria to the game-theoretic context, we apply these concepts to examine the case of two-person games played within a population whose relative proportions of decision criteria are unknown to the players. We state necessary and sufficient conditions under which such games prompt the players to reveal their decision criterion through their actions, and we show when the relative proportions may be learned by observing the increasingly informed agents play.
Different-Mode Power Splitters for Optical Testing of Three-Channel and Dual-Mode Waveguide Crossing
Authors: Ma Hansi , Du Te , Jiang Xinpeng , Zhang Zhaojian , He Xin , Chen Huan , Yu Yang , Zhang Zhenfu , Han Yunxin , Yang Junbo , Peng Yuanxi 
Published: September 2024

AbstractWe study that the different-mode (waveguide-connected) power splitter [(W)PS] can provide different-mode testing points for the optical testing. With the PS or WPS providing two different-mode testing points, the measured insertion losses (ILs) of the three-channel and dual-mode waveguide crossing (WC) for both the fundamental transverse electric (TE0) and TE1 modes are less than 1.8 dB or 1.9 dB from 1540 nm to 1560 nm. At the same time, the crosstalks (CTs) are lower than −17.4 dB or −18.2 dB. The consistent test results indicate the accuracy of the (W)PS-based testing circuit. Additionally, combining the tunable tap couplers, the (W)PS can provide multiple testing points with different modes and different transmittances.
Constructing Donor–Acceptor-Linked COFs Electrolytes to Regulate Electron Density and Accelerate the Li+ Migration in Quasi-Solid-State Battery
Authors: Zhao Genfu , Ma Hang , Zhang Conghui , Yang Yongxin , Yu Shuyuan , Zhu Haiye , Sun Yongjiang , Guo Hong 
Published: September 2024

AbstractRegulation the electronic density of solid-state electrolyte by donor–acceptor (D–A) system can achieve highly-selective Li+ transportation and conduction in solid-state Li metal batteries. This study reports a high-performance solid-state electrolyte thorough D–A-linked covalent organic frameworks (COFs) based on intramolecular charge transfer interactions. Unlike other reported COF-based solid-state electrolyte, the developed concept with D–A-linked COFs not only achieves electronic modulation to promote highly-selective Li+ migration and inhibit Li dendrite, but also offers a crucial opportunity to understand the role of electronic density in solid-state Li metal batteries. The introduced strong electronegativity F-based ligand in COF electrolyte results in highly-selective Li+ (transference number 0.83), high ionic conductivity (6.7 × 10–4 S cm−1), excellent cyclic ability (1000 h) in Li metal symmetric cell and high-capacity retention in Li/LiFePO4 cell (90.8% for 300 cycles at 5C) than substituted C- and N-based ligands. This is ascribed to outstanding D–A interaction between donor porphyrin and acceptor F atoms, which effectively expedites electron transferring from porphyrin to F-based ligand and enhances Li+ kinetics. Consequently, we anticipate that this work creates insight into the strategy for accelerating Li+ conduction in high-performance solid-state Li metal batteries through D–A system.
Prussian Blue Analogue-Templated Nanocomposites for Alkali-Ion Batteries: Progress and Perspective
Authors: Zhou Jian-En , Li Yilin , Lin Xiaoming , Ye Jiaye 
Published: September 2024

AbstractLithium-ion batteries (LIBs) have dominated the portable electronic and electrochemical energy markets since their commercialisation, whose high cost and lithium scarcity have prompted the development of other alkali-ion batteries (AIBs) including sodium-ion batteries (SIBs) and potassium-ion batteries (PIBs). Owing to larger ion sizes of Na+ and K+ compared with Li+, nanocomposites with excellent crystallinity orientation and well-developed porosity show unprecedented potential for advanced lithium/sodium/potassium storage. With enticing open rigid framework structures, Prussian blue analogues (PBAs) remain promising self-sacrificial templates for the preparation of various nanocomposites, whose appeal originates from the well-retained porous structures and exceptional electrochemical activities after thermal decomposition. This review focuses on the recent progress of PBA-derived nanocomposites from their fabrication, lithium/sodium/potassium storage mechanism, and applications in AIBs (LIBs, SIBs, and PIBs). To distinguish various PBA derivatives, the working mechanism and applications of PBA-templated metal oxides, metal chalcogenides, metal phosphides, and other nanocomposites are systematically evaluated, facilitating the establishment of a structure–activity correlation for these materials. Based on the fruitful achievements of PBA-derived nanocomposites, perspectives for their future development are envisioned, aiming to narrow down the gap between laboratory study and industrial reality.
Sheffer-Dunkl Sequences Via Umbral Calculus in the Dunkl Context
Authors: Gil Asensi Alejandro , Mínguez Ceniceros Judit , Varona Juan Luis 
Published: September 2024

AbstractUmbral calculus refers to a series of techniques that can be used to prove some polynomial formulas. Nowadays, it mostly involves the study of Sheffer sequences. In this paper, we focus on a generalization of umbral calculus in a Dunkl context (that we call Dunkl-umbral calculus). Here, the operators of classical umbral calculus are naturally replaced by operators of the Dunkl theory on the real line. In this context we define for the first time Sheffer-Dunkl sequences, $$\{s_{n,\alpha }(x)\}_{n=0}^\infty $$

{

s

n
,
α

(
x
)

}

n
=
0

∞

, and provide some properties and examples. We also connect, via Dunkl-umbral calculus, properties of some polynomials in a Dunkl sense that have appeared in the literature in the recent years, like Bernoulli-Dunkl or Euler-Dunkl polynomials.
How to Support Teacher Learning of Integrated STEM Curriculum Design
Authors: Stevenson Emma , van Driel Jan , Millar Victoria 
Published: September 2024

AbstractAs science, technology, engineering, mathematics (STEM) education continues to be a focus in many schools internationally, STEM teacher learning programs have arisen to support teachers with this integrated approach. Common to STEM teacher programs is teachers creating integrated STEM curriculum; however, missing from this research is how teachers develop the knowledge and skills needed to undertake this curriculum design. Consequently, for those designing STEM teacher programs, the literature provides limited understanding of how to support teachers’ learning of integrated curriculum design. This qualitative study investigated STEM teacher programs at ten Australian universities to identify the learning experiences that are perceived to be most valuable by teachers and teacher educators when learning how to design STEM education curriculum. Analysis of curriculum documents and the experiences of 23 individuals involved in STEM teacher programs (i.e., teacher educators, teachers) highlighted that a range of learning experiences is valuable for supporting teachers to develop the necessary knowledge and skills for STEM education curriculum design. Due to their breadth of learning potential, activities like STEM teaching resource analysis, and immersion in STEM education have a particularly important role to play in supporting teacher learning of the content, integration, and teaching required for STEM curriculum design.
Emotion Regulation is Associated with Increases in Linguistic Measures of Both Psychological Distancing and Abstractness
Authors: Nook Erik C. , Ahn Hayoung E. , Schleider Jessica L. , Somerville Leah H. 
Published: September 2024

Abstract Emerging research shows that distancing one’s language by reducing the use of “I” and present-tense verbs is associated with more successful emotion regulation. However, construal level theory posits that increasing psychological distance should also shift mental representations to be more abstract. Here, we test whether successful emotion regulation is related to linguistic measures of both abstractness and psychological distance in two emotion regulation experiments reported previously (N1 = 217, N2 = 464). As hypothesized, we found that (i) linguistic measures of psychological distancing and abstractness were highly correlated, (ii) linguistic abstractness increased when people used cognitive reappraisal strategies to regulate their responses to negative images, (iii) instructing participants to distance their language by not using the word “I” increased linguistic abstractness, and (iv) the extent to which people made their language more abstract while regulating correlated with regulation success. These results extend theoretical arguments that psychological distance and abstract construals are strongly connected in the mind. Furthermore, they provide novel evidence that successful cognitive reappraisal is associated with more abstract representations of stimuli and that this cognitive shift can be achieved merely by shifting one’s language.
Children’s and Adolescent’s Use of Context in Judgments of Emotion Intensity
Authors: Leitzke Brian T. , Cochrane Aaron , Stein Andrea G. , DeLap Gwyneth A. , Green C. Shawn , Pollak Seth D. 
Published: September 2024

AbstractThe ability to infer others’ emotions is important for social communication. This study examines three key aspects of emotion perception for which relatively little is currently known: (1) the evaluation of the intensity of portrayed emotion, (2) the role of contextual information in the perception of facial configurations, and (3) developmental differences in how children perceive co-occurring facial and contextual information. Two experiments examined developmental effects on the influence of congruent, incongruent, and neutral situational contexts on participants’ reasoning about others’ emotions, both with and without emotion labels. Experiment 1 revealed that participants interpreted others’ emotions to be of higher intensity when facial movements were congruent with contextual information. This effect was greater for children compared to adolescents and adults. Experiment 2 showed that without verbal emotion category labels, adults relied less on context to scale their intensity judgments, but children showed an opposite pattern; in the absence of labels, children relied more on contextual information than facial information. Making accurate inferences about others’ internal states is a complex learning task given high variability within and across individuals and contexts. These data suggest changes in attention to perceptual information as such learning occurs.
Toward long-term and high-precision multimodal intracranial biomarker monitoring
Authors: Liu Junduo , Yuan Ming , Li Baijun , Long Yunxiang , Zhao Jia , Lin Ting , Xu Feng , Wang Jun , Fang Yunsheng 
Published: September 2024

AbstractLong-term and high-precision intracranial biomarker monitoring is crucial for the diagnosis, prevention, and prognosis of various diseases. However, existing technologies are associated with several issues of poor measurement accuracy, inability to monitor long-term and inadequate biocompatibility. To address these, minimally invasive implantable ultrasound metagel sensors have been developed for monitoring intracranial pressure, temperature, pH, and blood flow velocity. The sensor can quickly respond to changes in ultrasound frequency for high-precision monitoring of key physiological signals compared to current clinical gold standards. Additionally, the hydrogel exhibits excellent biocompatibility and can degrade almost completely within 18 weeks, without causing hematological disorders or systemic inflammatory responses.
Operating between ports inside and outside emission control areas and its effect on shipping cost
Authors: Li Lingyue , Yang Jing , Zhang Haoran , Liu Di 
Published: September 2024

AbstractEmission Control Areas (ECAs) have been established to mitigate the environmental impact of maritime transportation, significantly affecting ship operations and costs. While previous studies have examined optimal sailing strategies within ECAs, most have been limited by the inability to provide precise latitude and longitude coordinates for the optimal sailing path. Furthermore, there is limited research on scenarios where ships operate between ports inside and outside ECAs, a common occurrence in global shipping. This study addresses these gaps by investigating the optimal sailing patterns for ships operating between ports located inside and outside ECAs. A mixed integer nonlinear programming model is developed to minimize fuel costs while complying with ECA regulations, determining optimal speeds inside and outside the ECA and latitude and longitude coordinates of ECA entry/exit point. By analyzing 204 routes in the Atlantic Coast and Gulf of Mexico ECA, this study reveals that sailing pattern optimization is economically beneficial on over 76% of routes, a higher proportion than scenarios where both ports are within ECAs. Two critical factors influencing optimal sailing pattern selection are identified: the proportion of the sailing distance inside the ECA to the total sailing distance under the original sailing pattern (S) and fuel price ratio inside and outside the ECA. Unlike the scenario where both ports are within ECAs, S emerges as the primary determinant of strategy selection. This finding contributes to the understanding of ship behavior under ECA regulations in more complex routing scenarios and provides valuable insights for both shipping operators and policymakers.