bluuebunny/crossref_metadata_2025_split huggingface dataset:
Lithium iodide transport in double gyroid nanochannels formed by zwitterion‐containing solid polymer electrolytes
Authors: Aissou Karim , Coronas Maximilien , Richard Jason , Bakkali‐Hassani Camille , Vishwakarma Sambhav , Petit Eddy , van der Lee Arie , Roualdes Stéphanie 
Published: July 2024

AbstractThe fabrication of nanostructured block copolymer (BCP) films endowed with lithium ion‐conducting gyroid (GYR) nanochannels is an appealing solution to build solid polymer electrolytes (SPEs) that combines high ionic conductivity (IC) with suitable mechanical properties. However, the formation of a well‐developed GYR structure remains challenging to achieve from the self‐assembly of polyelectrolyte BCP chains. To overcome this issue, large ion conducting gyroid grains were produced within freestanding polystyrene‐block‐poly(2‐vinylpyridine)‐block‐poly(ethylene oxide) (PS‐b‐P2VP‐b‐PEO) films by combining a solvent vapor annealing (SVA) treatment with an infiltration process. Here, the SVA treatment enabled the manufacture of SPEs entirely composed of a GYR structure while the infiltration process allowed for the incorporation of an appropriate Li salt (i.e., lithium iodoacetate, LiIAc) within the 3D‐interconected nanochannels via a Menshutkin reaction. By using this SVA‐Infiltration strategy, it has been demonstrated that the creation of ion conducting GYR nanochannels enhances the ion transportation capacity of pyridine‐containing SPEs since substantially lower ICs were measured from analog PS‐b‐P2VP‐b‐PEO/LiIAc films having a nominally disordered as‐cast state. Remarkably, zwitterionic pyridinium‐based moieties formed inside the interpenetrated nanochannels enable an efficient migration of Li+ and I3− species, leading to an IC as high as 10−4 S cm−1 at 70°C.
Disturbance observer‐based matrix‐weighted consensus
Authors: Trinh Minh Hoang , Tran Quoc Van , Sun Zhiyong , Ahn Hyo‐Sung 
Published: July 2024

AbstractIn this paper, we proposed several disturbance observer‐based matrix‐weighted consensus algorithms. A new disturbance observer is firstly designed for linear systems with unknown matched or mismatched disturbances representable as the multiplication of a known time‐varying matrix with a unknown constant vector. Under some assumptions on the boundedness and persistent excitation of the regression matrix, the disturbances can be estimated at an exponential rate. Then, a suitable compensation input is provided to compensate the unknown disturbances. Second, disturbance‐observer based consensus algorithms are proposed for matrix‐weighted networks of single‐ and double‐integrators with matched or mismatched disturbances. We show that both matched and mismatched disturbances can be estimated and actively compensated, and the consensus system uniformly globally asymptotically converges to a fixed point in the kernel of the matrix‐weighted Laplacian. Depending on the network connectivity, the system can asymptotically achieve a consensus or a cluster configuration. The disturbance‐observer based consensus design is further extended for a network of higher‐order integrators subjected to disturbances. Finally, simulation results are provided to support the mathematical analysis.
Exploiting relationship directionality to enhance statistical modeling of peer‐influence across social networks
Authors: Ran Xin , Morden Nancy E. , Meara Ellen , Moen Erika L. , Rockmore Daniel N. , O'Malley A. James 
Published: July 2024

Risky‐prescribing is the excessive or inappropriate prescription of drugs that singly or in combination pose significant risks of adverse health outcomes. In the United States, prescribing of opioids and other “risky” drugs is a national public health concern. We use a novel data framework—a directed network connecting physicians who encounter the same patients in a sequence of visits—to investigate if risky‐prescribing diffuses across physicians through a process of peer‐influence. Using a shared‐patient network of 10 661 Ohio‐based physicians constructed from Medicare claims data over 2014‐2015, we extract information on the order in which patients encountered physicians to derive a directed patient‐sharing network. This enables the novel decomposition of peer‐effects of a medical practice such as risky‐prescribing into directional (outbound and inbound) and bidirectional (mutual) relationship components. Using this framework, we develop models of peer‐effects for contagion in risky‐prescribing behavior as well as spillover effects. The latter is measured in terms of adverse health events suspected to be related to risky‐prescribing in patients of peer‐physicians. Estimated peer‐effects were strongest when the patient‐sharing relationship was mutual as opposed to directional. Using simulations we confirmed that our modeling and estimation strategies allows simultaneous estimation of each type of peer‐effect (mutual and directional) with accuracy and precision. We also show that failing to account for these distinct mechanisms (a form of model mis‐specification) produces misleading results, demonstrating the importance of retaining directional information in the construction of physician shared‐patient networks. These findings suggest network‐based interventions for reducing risky‐prescribing.
Air‐stable Li3.12P0.94Bi0.06S3.91I0.18 solid‐state electrolyte with high ionic conductivity and lithium anode compatibility toward high‐performance all‐solid‐state lithium metal batteries
Authors: Jin Daokuan , Shi Haodong , Ma Yuxin , Liu Yangyang , Wang Yang , Dong Yanfeng , Wu Mingbo , Wu Zhong‐Shuai 
Published: July 2024

AbstractSulfide solid‐state electrolytes (SSEs) with superior ionic conductivity and processability are highly promising candidates for constructing all‐solid‐state lithium metal batteries (ASSLMBs). However, their practical applications are limited by their intrinsic air instability and serious interfacial incompatibility. Herein, a novel glass‐ceramic electrolyte Li3.12P0.94Bi0.06S3.91I0.18 was synthesized by co‐doping Li3PS4 with Bi and I for high‐performance ASSLMBs. Owing to the strong Bi‒S bonds that are thermodynamically stable to water, increased unit cell volume and Li+ concentration caused by P5+ substitution with Bi3+, and the in situ formed robust solid electrolyte interphase layer LiI at lithium surface, the as‐prepared Li3.12P0.94Bi0.06S3.91I0.18 SSE achieved excellent air stability with a H2S concentration of only 0.205 cm3 g−1 (after 300 min of air exposure), outperforming Li3PS4 (0.632 cm3 g−1) and the most reported sulfide SSEs, together with high ionic conductivity of 4.05 mS cm−1. Furthermore, the Li3.12P0.94Bi0.06S3.91I0.18 effectively improved lithium metal stability. With this SSE, an ultralong cyclability of 700 h at 0.1 mA cm−2 was realized in a lithium symmetrical cell. Moreover, the Li3.12P0.94Bi0.06S3.91I0.18‐based ASSLMBs with LiNi0.8Mn0.1Co0.1O2 cathode achieved ultrastable capacity retention rate of 95.8% after 300 cycles at 0.1 C. This work provides reliable strategy for designing advanced sulfide SSEs for commercial applications in ASSLMBs.
Silver Nanoparticles Loaded With Oleuropein Alleviates LPS‐Induced Acute Lung Injury by Modulating the TLR4/P2X7 Receptor‐Mediated Inflammation and Apoptosis in Rats
Authors: Yakut Seda , Gelen Volkan , Kara Hülya , Özkanlar Seçkin , Yeşildağ Ali 
Published: July 2024

ABSTRACTToll‐like receptor 4 (TLR‐4) ligands were initially shown to be the source of lipopolysaccharide (LPS), a gram‐negative bacterium's cell wall immunostimulatory component. Oxidative stress, apoptosis, and inflammation are all potential effects of LPS treatment on the lungs. By triggering oxidative stress and inflammation, these negative effects could be avoided. Robust flavonoid oleuropein (OLE) exhibits anti‐inflammatory, antiproliferative, and antioxidative properties. A nanodelivery system could improve its low bioavailability, making it more effective and useful in treating chronic human ailments. This study evaluates the effects of AgNP‐loaded OLE on LPS‐induced lung injury in rats in terms of TLR4/P2X7 receptor‐mediated inflammation and apoptosis. Forty‐eight male albino rats were randomly divided into eight groups. Drugs were administered to the groups in the doses specified as follows: Control, LPS (8 mg/kg ip), OLE (50 mg/kg) AgNPs (100 mg/kg), OLE + AgNPs (50 mg/kg), LPS + OLE (oleuropein 50 mg/kg ig + LPS 8 mg/kg ip), LPS + AgNPs (AgNPs 100 mg/kg ig + LPS 8 mg/kg ip), and LPS + OLE + AgNPs (OLE + AgNPs 50 mg/kg + LPS 8 mg/kg ip). After the applications, the rats were decapitated under appropriate conditions, and lung tissues were obtained. Oxidative stress (SOD, MDA, and GSH), and inflammation (IL‐6, IL‐1β, TNF‐α, Nrf2, P2X7R, AKT, and TLR4) parameters were evaluated in the obtained lung tissues. Additionally, histopathology studies were performed on lung tissue samples. The data obtained were evaluated by comparison between groups. Both OLE and OLE + AgNPs showed potential in reducing oxidative stress, inflammation, and apoptosis (p < 0.05). These findings were supported by histopathological analysis, which revealed that tissue damage was reduced in OLE and OLE + AgNPs‐treated groups. According to the results, LPS‐induced lung injury can be reduced by using nanotechnology and producing OLE + AgNP.
Introductory Chapter: Prospects for Sustainable Business Development
Authors: Verkuil Arie Hans , Hinz Andreas , Milow Uta , Al-Kilani Mahmoud 
Published: July 2024

AbstractIn the introductory chapter the editors describe the dimensions of sustainable business development from a fundamental and international perspective and encompass aspects of environmental efficiency, social equity, and economic profitability. In addition, they give a short overview of all chapters and the authors.
Malaysia: The Effects of Attitude, Subjective Norms, and Social Entrepreneurship Awareness Toward Social Entrepreneurship Intention Among Public University Students
Authors: Saufi Roselina Ahmad , Hong Tan Wai 
Published: July 2024

AbstractSocial entrepreneurship plays a pivotal role in the economic well-being of a country. It promotes job creation, instigates innovation, as well as brings about community development and collaboration. Therefore, it is crucial to identify the key factors of Social Entrepreneurship Intention. In this study, we investigated how the factors of Attitude, Subjective Norms, and Social Entrepreneurship Awareness stimulate such intention among public university students in Malaysia. The study aims to determine the gap in empirical research results, thereby offering solutions to overcome the different levels of social entrepreneurship engagement among target respondents. A total of 172 responses were collected and analyzed using IBM SPSS Statistics 26. An ordinal logistic regression approach was used, where the results suggest that all the factors considered affect Social Entrepreneurship Intention at varying intensity, with Subjective Norms being the most dominant factor. The findings of this study can benefit policymakers and ensure the sustainability of social entrepreneurship ecosystem in higher education.
The Role of Public Funding Agencies for Startup Promotion: An International Comparison
Authors: Schulte Volker , Birkenmeier Beat 
Published: July 2024

AbstractThe chapter analyses the political and economic conditions for the establishment of state-financed funding agencies to support startups. Both the advantages and disadvantages of state intervention are analyzed. When receiving government funding, the risk of inefficiently designing processes and value chains increases. It may lead to less diligent evaluation and decisions about costs and questions about the best use of spending public money. This can severely impact the profitability or even the viability of business. Further, there is a risk that government funding will demand public documentation or influence on the company.
Pricing Risk: An XAI Analysis of Irish Car Insurance Premiums
Authors: Byrne Adrian 
Published: July 2024

AbstractWith the proliferation of artificial intelligence (AI) in decision-making processes and impending European Union (EU) legislation aiming to safeguard citizens from potential harm, this paper investigates the determinants impacting individual drivers’ car insurance costs. The fundamental principle guiding insurance premiums is the assessment of policyholders’ perceived risk. However, the specific elements informing this assessment remain opaque. To take a deeper look inside the model, our study developed an automated process to collect quote data, considering diverse factors including gender, age (as a proxy for driving experience), geographical location, occupation, and driving history. By conducting an audit of pricing algorithms utilised by insurance companies in the Irish car insurance sector, we gathered quotes from online platforms available in Ireland. Our research provides valuable insights into the multifaceted factors influencing car insurance premiums in Ireland, shedding light on the complexities underlying the algorithmic calculations of insurance quotations. While acknowledging the intricacy of the industry, our analysis reveals evidence of several potentially problematic issues. Notably, we identify that place of residence and occupation exert a direct and substantial impact on the prices quoted to drivers. This study contributes to a deeper understanding of the determinants shaping car insurance premiums, emphasising the need for transparency and fairness within the insurance industry. The findings underscore the significance of addressing systemic disparities and biases in insurance pricing practices to ensure equitable treatment for all drivers.
Level repulsion in $$ \mathcal{N} $$ = 4 super-Yang-Mills via integrability, holography, and the bootstrap
Authors: Chester Shai M. , Dempsey Ross , Pufu Silviu S. 
Published: July 2024

Abstract
We combine supersymmetric localization with the numerical conformal bootstrap to bound the scaling dimension and OPE coefficient of the lowest-dimension unprotected operator in $$ \mathcal{N} $$
N
= 4 SU(N) super-Yang-Mills theory for a wide range of N and Yang-Mills couplings gYM. We find that our bounds are approximately saturated by weak coupling results at small gYM. Furthermore, at large N our bounds interpolate between integrability results for the Konishi operator at small gYM and strong-coupling results, including the first few stringy corrections, for the lowest-dimension double-trace operator at large gYM. In particular, our scaling dimension bounds describe the level splitting between the single- and double-trace operators at intermediate coupling.
A string theory for two dimensional Yang-Mills theory. Part I
Authors: Aharony Ofer , Kundu Suman , Sheaffer Tal 
Published: July 2024

Abstract
Two dimensional gauge theories with charged matter fields are useful toy models for studying gauge theory dynamics, and in particular for studying the duality of large N gauge theories to perturbative string theories. A useful starting point for such studies is the pure Yang-Mills theory, which is exactly solvable. Its 1/N expansion was interpreted as a string theory by Gross and Taylor 30 years ago, but they did not provide a worldsheet action for this string theory, and such an action is useful for coupling it to matter fields. The chiral sector of the Yang-Mills theory can be written as a sum over holomorphic maps and has useful worldsheet descriptions, but the full theory includes more general extremal-area maps; a formal worldsheet action including all these maps in a “topological rigid string theory” was written by Hořava many years ago, but various subtleties arise when trying to use it for computations. In this paper we suggest a Polyakov-like generalization of Hořava’s worldsheet action which is well-defined, and we show how it reproduces the free limit of the Yang-Mills theory, both by formal arguments and by explicitly computing its partition function in several cases. In the future we plan to generalize this string theory to the finite-coupling gauge theory, and to analyze it with boundaries, corresponding either to Wilson loops or to dynamical matter fields in the fundamental representation.
Soft algebras for leaf amplitudes
Authors: Melton Walker , Sharma Atul , Strominger Andrew 
Published: July 2024

Abstract
Celestial MHV amplitudes are comprised of non-distributional leaf amplitudes associated to an AdS3 leaf of a foliation of flat spacetime. It is shown here that the leaf amplitudes are governed by the same infinite-dimensional soft ‘S-algebra’ as their celestial counterparts. Moreover, taking the soft limit of the smooth three-point MHV leaf amplitude yields a nondegenerate minus-minus two-point leaf amplitude. The two- and three-point MHV leaf amplitudes are used to compute the plus-minus-minus leaf operator product coefficients.
Turbidity effects on prey consumption and survival of larval European smelt (Osmerus eperlanus)
Authors: Illing Björn , Sehl Jennifer , Reiser Stefan 
Published: July 2024

AbstractThe anadromous European smelt (Osmerus eperlanus) plays a key role in food webs of many riverine ecosystems in Europe. However, population sizes in several German rivers (e.g. Elbe or Weser rivers) have diminished drastically over the past decade. Turbidity has been considered one of the stressors affecting the successful recruitment of European smelt, as their early life stages may be particularly sensitive to changes in the abiotic environment. In this study, we investigated whether prey consumption and survival of European smelt larvae would be negatively affected by an acute exposure to elevated turbidity. We reared the larvae in the laboratory and exposed them in four separate trials (18 to 26 days post hatch, 9.5 ± 0.8 mm standard length, mean ± SD) to six turbidity levels (0–500 NTU, nephelometric turbidity units). We found that prey uptake increased at low turbidity levels and decreased at high turbidity levels, with an optimum between 100 and 200 NTU. Survival started to decrease at turbidity levels above 300 NTU. In addition, we conducted a systematic literature analysis in which we found that prey consumption of larval and juvenile fishes had been tested across a wide range of turbidity levels, mostly using pelagic (e.g. planktonic) prey items, with more studies focusing on perciform fishes and juvenile rather than larval life stages. Our empirical findings contribute to establishing thresholds for optimal larval European smelt performance under increased turbidity and provide valuable information for developing mechanistic models that assess potential consequences for European smelt recruitment dynamics.
The role of motor effort on the sensorimotor number system
Authors: Benedetto Alessandro , Chelli Eleonora , Petrizzo Irene , Arrighi Roberto , Anobile Giovanni 
Published: July 2024

AbstractThe integration of numerical information with motor processes has emerged as a fascinating area of investigation in both animal and human cognition. The interest in a sensorimotor number system has recently generated neurophysiological and psychophysical evidence which combine to highlight the importance of motor functions in the encoding of numerical information. Nevertheless, several key questions remain, such as the influence of non-numerical motor parameters over numerical perception. Here we tested the role of physical effort, a parameter positively correlated with the number of actions, in modulating the link between hand-actions and visual numerosity perception. Effort was manipulated during sensorimotor adaptation as well as during a new actions-estimation paradigm. The results of Experiment 1 shows that physical effort in the absence of actions (passive effort) is not sufficient to activate the sensorimotor number system, indicating that self-produced actions are instead necessary. Further experiments demonstrated that effort is marginally integrated during motor adaptation (Experiment 2) but discarded when estimating the number of self-produced hand actions (Experiment 3). Overall, the results indicate that the sensorimotor number system is largely fed by the number of discrete actions rather than the amount of effort but also indicates that effort (under specific circumstances) might be integrated. These findings provide novel insights into the sensorimotor numerical integration, paving the way for future investigations, such as on its functional role.
Establishment of a 24/7 robotic acute care surgery program at a large academic medical center
Authors: Gage Daniel , Neilson Taylor , Pino Megan G. , Eiferman Daniel , Knight-Davis Jennifer 
Published: July 2024

Abstract
Background
For many years, robotic surgery has been an option for various elective surgical procedures. Though robotic surgery has not traditionally been the first choice for acute surgical patients, recent work has shown promise in broader applications. However, there are limited data regarding how to establish an institutional robotics program for higher acuity patients. This project aimed to map a pathway for the creation of an acute care surgery robotic program at a large academic medical center.

Methods
Various stakeholders were gathered jointly with our surgical faculty: anesthesia, operating room leadership, surgical technologists, circulating nurses, Central Sterile Supply, and Intuitive Surgical Inc. representatives. Staff underwent robotics training, and surgical technologists were trained as bedside first assistants. Nontraditional robotic operating rooms were allocated for coordinated placement of appropriate cases, and pre-made case carts were arranged with staff to be available at all hours. A workflow was created between surgical faculty and staff to streamline add-on robotic cases to the daily schedule.

Results
Six faculty and two fellows are now credentialed in robotics surgery, and additional surgeons are undergoing training. Numerous staff have completed training to perform operative assistant duties. The operating capacity of robotic acute care surgeries has more than doubled in just one year, from 77 to 172 cases between 2022 and 2023, respectively. Two add-on cases can be accommodated per day. Select patients are being offered robotic surgeries in the acute surgical setting, and ongoing efforts are being made to create guidelines for which patients would best benefit from robotic procedures.

Conclusions
Launching a successful robotic surgery program requires a coordinated, multidisciplinary effort to ensure seamless integration into daily operations. Additional assistance from outside technology representatives can help to ensure comfort with procedures. Further studies are needed to determine the acute patient population that may benefit most from robotic surgery.