bluuebunny/crossref_metadata_2025_split huggingface dataset:
Urologist practice divestment from radiation vault ownership and treatment patterns for prostate cancer
Authors: Faraj Kassem S. , Kaufman Samuel R. , Herrel Lindsey A. , Maganty Avinash , Oerline Mary K. , Caram Megan E. V. , Shahinian Vahakn B. , Hollenbeck Brent K. 
Published: December 2023

AbstractBackgroundUrologists practicing in single‐specialty groups with ownership in radiation vaults are more likely to treat men with prostate cancer. The effect of divestment of vault ownership on treatment patterns is unclear.MethodsA 20% sample of national Medicare claims was used to perform a retrospective cohort study of men with prostate cancer diagnosed between 2010 and 2019. Urology practices were categorized by radiation vault ownership as nonowners, continuous owners, and divested owners. The primary outcome was use of local treatment, and the secondary outcome was use of intensity‐modulated radiation therapy (IMRT). A difference‐in‐differences framework was used to measure the effect of divestment on outcomes compared to continuous owners. Subgroup analyses assessed outcomes by noncancer mortality risk (high [>50%] vs. low [≤50%]).ResultsAmong 72 urology practices that owned radiation vaults, six divested during the study. Divestment led to a decrease in treatment compared with those managed at continuously owning practices (difference‐in‐differences estimate, −13%; p = .03). The use of IMRT decreased, but this was not statistically significant (difference‐in‐differences estimate, −10%; p = .13). In men with a high noncancer mortality risk, treatment (difference‐in‐differences estimate, −28%; p < .001) and use of IMRT (difference‐in‐differences estimate, −27%; p < .001) decreased after divestment.ConclusionsUrology group divestment from radiation vault ownership led to a decrease in prostate cancer treatment. This decrease was most pronounced in men who had a high noncancer mortality risk. This has important implications for health care reform by suggesting that payment programs that encourage constraints on utilization, when appropriate, may be effective in reducing overtreatment.
Green finance: Evidence from large portfolios and networks during financial crises and recessions
Authors: Argentiero Amedeo , Bonaccolto Giovanni , Pedrini Giulio 
Published: December 2023

AbstractIn this article, we study the relevance of green finance from a portfolio and a network perspective. The estimates are derived from a regularized graphical model, which allows us to deal with two important issues. First, we refer to the curse of dimensionality, as we focus on a relatively large set of companies. Second, we explicitly take into account the heavy‐tailed distributions of financial time series, which reflect the impact of crises and recessions. Focusing on a time interval spanning across well‐known tail events, from the US subprime crisis to the recent outbreak of the COVID‐19 pandemic, we show that the selected green stocks offer a relevant contribution to the minimization of the overall portfolio risk. Moreover, they outperform the gray assets in terms of risk, profitability, and risk‐adjusted return in a statistically significant way. These findings are consistent with the estimates obtained from the network analysis. Indeed, the gray stocks exhibit a greater connection within the dynamic networks and, then, are more exposed to the risk of a greater propagation of negative spillover effects during stressed periods. Interestingly, the relevance of the green stocks increases when moving from the standard Gaussian to the leptokurtic setting. The policy implications suggested by these results induce policymakers to undertake synergistic interventions with private finance aimed at supporting a green economy and environmentally responsible companies.
The path towards sustainability: The role of internal stakeholders and management accounting in a dialogic perspective
Authors: Broccardo Laura , Mauro Sara Giovanna 
Published: December 2023

AbstractThis research investigates the conditions under which an international organisation has adopted a successful approach to sustainability, focusing on the engagement (and perceptions) of internal actors at the operational level and on the management accounting tools that enhance and support a dialogic approach to sustainability. This study is based on an in‐depth analysis of CNH Industrial, a leading company in sustainability commitment. Data were collected through document analysis and in‐depth semi‐structured interviews with operational managers, thus using primary and secondary data. The study reveals how the internal stakeholders' dialogue is conducted and how stakeholders' engagement is built while implementing a strategy based on sustainability, highlighting the circular top‐down and bottom‐up attitude, based on a ‘convergence approach’. In this context, management accounting systems act as dialogic accounting tools. The research pays attention to internal stakeholders, analysing the creation of dialogue even through management accounting tools, which paves the way to new sustainable opportunities with a convergence approach, and drawing a picture of the relevant factors in the path to sustainability.
Hybrid passivity‐based control of a three single‐phase star‐connected unidirectional five‐level rectifier with a space vector pulse‐width modulation algorithm for voltage balance
Authors: Cheng Hong , Yang Daokuan , Wang Cong , Wang Ning , Tian Changgeng 
Published: December 2023

SummaryThe unidirectional multilevel rectifier has been used in numerous industrial applications due to its reduced active power switches, higher power density, and lower cost compared to conventional bidirectional converters. Recently, the unidirectional five‐level rectifier has been proposed for its lower device stress and the potential for extension to higher levels. However, it adopts a conventional linear proportional integral (PI) control strategy and sinusoidal pulse‐width modulation (SPWM) method, resulting in a complex control structure, particularly for the balance control of the midpoint voltage, and suboptimal dynamic performance. To address this issue and enhance system's large‐scale stability, a hybrid passivity‐based control (PBC) strategy, along with a simplified mathematical model, has been proposed. The hybrid PBC control strategy includes an outer loop active disturbance rejection (ADR)‐PI controller and inner loop PBC controller, providing a simple overall control structure and strong anti‐interference ability. Additionally, a space vector pulse‐width modulation (SVPWM) algorithm has been briefly introduced and applied to further improve the recovery and balance speed of the DC‐side capacitor voltages. Simulation and experiment results have validated the feasibility and effectiveness of the proposed hybrid PBC strategy and the SVPWM algorithm.
Environmental DNA reflects spatial distribution of a rare turtle in a lentic wetland assisted colonization site
Authors: Nordstrom Bethany , Budd Alyssa , Mitchell Nicola , Cornish Caitlin , Byrne Margaret , Kuchling Gerald , Jarman Simon 
Published: December 2023

AbstractConservation translocations require robust post‐release monitoring to evaluate their success, which can be challenging to implement and maintain. Monitoring techniques that can account for the dispersal and cryptic nature of translocated animals are necessary to provide critical information on persistence and distribution. In this study, we developed a highly sensitive environmental DNA (eDNA) assay specific to the critically endangered western swamp turtle (Pseudemydura umbrina), a species currently undergoing trials of assisted colonization. Actively filtering sufficient volumes of water in lentic systems is difficult due to high concentrations of clogging particulates, therefore we assessed the viability of passive sampling in a controlled environment by submerging filter membranes and directly extracting DNA. Active sampling detected P. umbrina with a 97.6% detection rate, whereas passive sampling resulted in an 8.3% detection rate. We then used a fine‐scale eDNA sampling design and radio‐tracked translocated P. umbrina at the assisted colonization wetland to investigate eDNA dispersal and spatial monitoring resolution. We detected P. umbrina at 42% (7/17) of eDNA sample sites, and the probability of a positive eDNA detection was negatively associated with the distance of P. umbrina from the sampling site, indicating limited eDNA dispersal from the source. Systems with low natural mixing and limited eDNA dispersal provide an opportunity for high‐resolution spatial and temporal monitoring via targeted eDNA approaches. This is beneficial for monitoring rare species in these systems, as such high‐resolution results can provide insights into species presence, distribution, and microhabitat use.
Implementation of offline iterative hybrid simulation based on neural networks
Authors: Gao Fukang , Tang Zhenyun , Du Xiuli 
Published: December 2023

AbstractReal‐time hybrid simulation (RTHS) is a testing method that combines numerical simulation and physical testing, enabling large‐scale or even full‐scale tests of large and complex engineering structures using the existing experimental facilities. At present, the accuracy and stability of RTHS are limited by the loading device and numerical solution efficiency. The experimental method was improved based on the neural network, and an off‐line iterative hybrid simulation method based on neural networks was implemented. Taking the tuned damping structure as examples, the dynamic metamodels of the tuned mass damper and tuned liquid damper were established based on the long‐short time memory (LSTM) neural network, and the model was iteratively simulated globally with the 9‐story benchmark model to calculate the response of the damping structure. The error of damper reaction predicted by LSTM neural network model is within 5.16%. The global iterative method can converge after a limited number of iterations, and the peak error of the structural response is within 7.85%.
Saromacrophorins A–C, Rare Sesquiterpene‐Hydroquinone Hybrids from the Deep‐Sea‐Derived Fungus Sarocladium terricola 494 a
Authors: Xie Ya‐Ping , Wang Yuan , Zhang Kai , Liu Qing‐Mei , Yan Qing‐Xiang , Zou Zheng‐Biao , Xu Yan‐Qin , Liu Guang‐Ming , Huang Xiao‐Fang , Yang Xian‐Wen 
Published: December 2023

AbstractThree new sesquiterpene‐hydroquinone hybrids, saromacrophorins A–C (1–3) were isolated from the deep‐sea‐derived fungus Sarocladium terricola 494a, along with nine known compounds. Their structures were elucidated by comprehensive analyses of 1D and 2D NMR, HRESIMS, and ECD calculations. Noteworthily, compound 1 is a rare 5′,6′‐dihydroxymacrophorin and compound 3 is the first example of macrophorin possessing 4′S‐configuration. Compound 4 showed potent anti‐food allergic activity with an IC50 value of 18.9 μM.
Locational citizenship, exclusion and inclusion. The case of street children in Ethiopia
Authors: Adefris Dereje , Gatbel Kuany , Moss Sigrun Marie 
Published: December 2023

AbstractPublic space is a possible site for grounding a social psychology of citizenship. Locational citizenship speaks to the right to have a place in public space. Certain groups are however often excluded. Drawing on individual interviews and focus group discussions with street children in Gambella Town, Ethiopia, this study explores how street children talk about their lives on the street. The results demonstrate the children's lack of inclusion in locational citizenship, and how public space becomes contested space when different groups use these places in ways that clash. The children also speak to processes of inclusion, both among groups of street children, and kindness from individual adults in their environment. These children's their stories of both exclusion and inclusion are crucial to the developing social psychology of citizenship. The study emphasizes exclusion and inclusion as processes, and the children's active handling of their street life. We also problematizes the division between private and public space when the former is often no longer an available space for these children.
Multiscale dynamic time‐domain simulation of regional integrated energy considering seasonal load difference
Authors: Li Yafei , Qian Kejun , Liu Yi , Xie Ying 
Published: December 2023

AbstractTo improve the multiscale dynamic dispatching and distribution capacity of regional integrated energy, a multiscale dynamic time‐domain dispatching model of regional integrated energy with seasonal load difference is proposed. The master–slave game coordination planning model of regional comprehensive energy multiscale dispatching is constructed, and the difference fusion model of regional comprehensive energy multiscale dynamic dispatching is established by using the active and reactive power coordination control method according to the influence factors of voltage deviation and line overload absorption. Maximize the weight factors of the positive contribution of distributed photovoltaic (PV) power to the active distribution network. On the basis of the quantitative regulation analysis method of demand response power based on the equivalent slope of the load curve, establish an energy absorption capacity analysis model of seasonal load differentiation. On the basis of the dynamic interaction between different systems, a multiscale dynamic time‐domain analysis and dynamic simulation model of regional integrated energy is constructed by using the method of PV absorptive capacity assessment on both sides of demand uncertainty, to achieve multiscale dynamic time‐domain feature extraction of integrated energy and integrated scheduling of seasonal load differences. The simulation results show that the multiscale dynamic time‐domain allocation of regional comprehensive energy using this method improves the energy dispatching and balanced allocation capability, and the time‐domain dynamic allocation capability is good. Considering the terminal load demand and the electricity price demand formulated by the distribution network investment operators, the seasonal load response and comprehensive dispatching capability are improved.
Action mechanism of axial flow on windage loss in open shaft‐type gap with CO2
Authors: Hu Lehao , Deng Qinghua , Liu Zhouyang , Li Jun , Feng Zhenping 
Published: December 2023

AbstractThe windage loss in rotor‐stator gap has an important effect on rotating machinery, especially with higher rotational speed and fluid density. However, the mechanism of axial flow on windage loss in open shaft‐type gap is hardly studied in most literature. To clarify it, the influences of axial Reynolds numberReuand rotational Reynolds numberReωon skin friction coefficientCfare investigated, and flow characteristics are analyzed with different gap geometry, radius ratioη. First, the results reveal that theCfremains constant whenReuis less than 2.8 × 104and increases rapidly asReuwhenReu ≥ 2.8 × 104, which indicates that the effect of axial velocityuonCfis negligible for lowReu. The positive relative deviationΔsuggests that the axial flow makes windage loss andCfrise. Besides, a larger number of Taylor vortexes fill with gap when the effect of the centrifugal force is larger than that of the inertial force, but they gradually disappear asReu. Subsequently, theCfandΔincrease asη, highlighting that the effect ofuon windage loss andCfis more prominent for largerη. The fact that vorticity near walls is larger than that at the center of gap reveals that windage loss arises from the interaction between walls and fluid rather than the dissipation with fluid itself. Finally, the model ofCfin shaft‐type gap is proposed in differentReωranges based on numerical results, and the maximum sum of squares error of 1.02 × 10−5and minimalR2of 0.969 satisfy the requirement of fitting accuracy and indicate that the fitting model can accurately predictCf. The conclusions significantly help predict windage loss in open shaft‐type gap with axial flow, and further improve the design for generators of supercritical CO2turbine‐alternator‐compressor unit.
Heat transfer characteristics of water flow through a single rock fracture: The combined effects of shear and surface roughness
Authors: Wang Gang , Zhuang Ying , Huang Na , Jiang Yujing 
Published: December 2023

AbstractAn accurate understanding of the heat transfer of water through rock fractures is essential for the extraction and utilization of thermal energy from high‐temperature rock masses. A systematic numerical simulation based on the double‐rough‐walled model has been presented to investigate the shear effect on convective heat transfer in rough rock fractures. On the basis of the modified successive random additions algorithm, four different self‐affine surfaces were generated and utilized to establish the 3D double‐rough‐walled fracture models. The fluid flow and heat transfer were simulated by directly solving the Navier–Stokes equation and energy conservation equation, respectively. The combined effects of shear and surface roughness on the heat transfer were investigated. The results show that the heat within rough‐walled fractures transfers preferentially along the main fluid flow channels, and the areas of fast and slow thermal transmission fit well with the high‐ and low‐flow regions, respectively. As shear advances, the heat transfer coefficient firstly increases, then decreases slightly and finally stabilizes within a certain range, in which stabilization occurs earlier in fracture with a larger joint roughness coefficient. The effect of surface roughness on heat transfer shows an opposite trend during shearing. When the shear displacement is small, the enhancement effect of surface roughness that provides larger heat transfer areas dominates the heat transfer. As shear displacement continues to increase, this enhancement effect will be gradually weakened until the decreasing effect that bumps on the rough‐walled surface hinder the fluid flow dominates the heat transfer.
State of charge estimation for lithium‐ion battery pack based on real vehicle data and optimized backpropagation method by adaptive cross mutation sparrow search algorithm
Authors: Feng Juqiang , Cai Feng , Wu Long , Zhang Xing , Huang Kaifeng 
Published: December 2023

AbstractIn response to the issues of traditional backpropagation (BP) neural networks in state of charge (SOC) estimation, including easy convergence to local optima, slow convergence speed, and low accuracy, this paper proposes a novel adaptive crossover mutation strategy and dynamic sparrow search algorithm to optimize BP networks' initial values and thresholds (ACMSSA‐BP). The proposed method is based on the sparrow search algorithm, where the number of producers and scroungers is adjusted through an adaptive factor. This improvement effectively transitions the search process from extensive full exploration to localized fine‐tuning search. In the position update phase of the producers, crossover mutation and dynamic search strategies are introduced to increase the diversity of good populations, prevent the algorithm from converging to local optima, and maintain its local search capability in the later stage. Using real transportation data from coal mining flame‐proof tracked vehicles, we applied correlation theory to extract model feature parameters and constructed a training data set to estimate the SOC. The results of both static and dynamic validation experiments have indicated that the ACMSSA‐BP method has delivered impressive performance in predicting SOC, as reflected in the mean absolute error, root mean squared error, and mean absolute percentage error values of less than 1.5%, 1.5%, and 1.6%, respectively. Compared with BP, SSA‐BP, CMSSA‐BP, PSO‐BP, and NARX_NN methods, the ACMSSA‐BP approach demonstrates enhanced accuracy in estimation, significant robustness, and impressive generalization capabilities.
Prevalence, risk and protective factors of substance use amongst adolescents living in peri‐urban communities in Abuja, Nigeria
Authors: Shuaibu Hassana Ojonuba , Abdul Rahman Haliza , Zulkefli Nor Afiah Mohd 
Published: December 2023

AbstractAdolescents living in peri‐urban communities are more vulnerable to risky behaviours such as substance use. This was a cross‐sectional study carried out to determine the prevalence, risk and protective factors of adolescent substance use in peri‐urban communities in Abuja. Data on lifetime and current substance use were collected using the Youth Risk Behaviour Survey Instrument. Data on risk and protective factors of adolescent substance use, based on the Problem Behaviour Theory, were also collected. Using the SPSS software, descriptive analysis was conducted to summarise the data. Bivariate analysis was conducted using chi‐square and independent t‐tests, and multivariate analysis was conducted using logistic regression. A p‐value of less than 0.05 was considered statistically significant. The prevalence of lifetime substance use was 22.8%, whilst current substance use was 18.5%. The consumption of mixed drinks was the most currently used form substance at 8.1%, followed by alcohol (5.7%) and shisha (4.7%). Multivariate analysis showed that self‐esteem (0.007), delinquency (p < 0.001) and parent alcohol use (p = 0.045) were independently associated with adolescent substance use. There is a high prevalence of substance use amongst adolescents living in peri‐urban communities in Abuja, Nigeria, as well as a new pattern of substance use consumption. The findings showed that some risk factors identified by the problem behaviour theory were independently associated with adolescent substance use, whilst the protective factors were not. There is a dire need for adolescent substance use interventions in peri‐urban communities that addresses certain risk factors.
Inducible nitric oxide synthase accelerates nonalcoholic fatty liver disease progression by regulating macrophage autophagy
Authors: Jin Guiyuan , Yao Xiaoying , Liu Dong , Zhang Juan , Zhang Xiaobei , Yang Yonghong , Bi Yanzhen , Zhang Hui , Dong Guanjun , Tang Huixin , Cheng Shumin , Hong Feng , Si Meng 
Published: December 2023

AbstractBackgroundCells and tissues, such as macrophages, express inducible nitric oxide synthase (INOS) after stimulation by certain factors. INOS helps mediate the macrophage inflammatory reaction, but few studies have explored how INOS affects macrophage function in nonalcoholic fatty liver disease (NAFLD).ObjectiveThis study investigated the role of INOS‐mediated macrophage activity in NAFLD.MethodsA high‐fat diet was used to establish an NAFLD mouse model. After 12 weeks, blood was collected for immune cell and lipid analyses, and liver tissues were collected for pathological analyses with hematoxylin and eosin and Oil Red O staining. Peritoneal macrophages were extracted in situ, cultured in Dulbecco's modified Eagle's medium, and stimulated with palmitic acid to mimic in vivo conditions for further assays. Real‐time polymerase chain reaction, western blot analysis, and immunofluorescence were used to verify the expression of target genes or proteins.ResultsIn the NAFLD model, INOS expression in macrophages increased, andINOSknockdown significantly decreased the number of macrophages. Pathological examinations confirmed thatINOSknockdown slowed NAFLD progression and macrophage infiltration during inflammation.INOSknockdown also enhanced phagocytosis and lipid transport by macrophages, and increased the expression of autophagy‐related molecules in macrophages, which improved the autophagy level, promoted apoptotic cell degradation, and maintained intracellular environment homeostasis.ConclusionsThese results indicate a correlation between INOS expression and macrophage function in NAFLD.