bluuebunny/crossref_metadata_2025_split huggingface dataset:
IT2‐Fuzzy‐Model‐Based Guaranteed Cost Control for Continuous‐Time MJSs With Non‐Consecutive Transmission and Quantization
Authors: Ran Guangtao , Guo Yanning , Lv Yueyong , Lam Hak‐Keung , Liu Jian , Chen Hongtian 
Published: November 2024

ABSTRACTThis article addresses the asynchronous guaranteed cost control (GCC) problems for interval type‐2 (IT2) fuzzy continuous‐time Markov jump systems (C‐TMJSs) with quantization and non‐consecutive transmission. A dynamic event‐triggered mechanism (ETM) for IT2 fuzzy C‐TMJSs is designed to address the limited bandwidth and communication burden, which incorporates mode‐dependent thresholds and weighting matrices. An asynchronous IT2 fuzzy guaranteed cost controller possessing unmatched premise variable information is developed to stabilize the considered system, achieving desired GCC performance. The relationship between system mode and controller mode is described by the hidden Markov model (HMM). A quantizer is employed to quantize the signal prior to transmission to the next node, modeled as a stochastic quantization utilizing the HMM. Furthermore, an improved mode‐dependent and fuzzy‐dependent Lyapunov function is constructed for stability analysis, and the conditions of optimal GCC performance are derived. Finally, two examples are performed to validate the effectiveness of the proposed algorithms.
Surface Reconstruction Reduces Internal Stress of Ni‐Rich Cathode Particles
Authors: Hou Lijuan , Liu Qi , Mu Daobin , Li Li , Wu Feng , Chen Renjie 
Published: November 2024

AbstractHigh‐voltage Ni‐rich layered cathode materials are undoubtedly a powerful driving force for high‐energy density lithium batteries. However, residual lithium impurities on the surface of Ni‐rich materials can cause more severe side reactions under high‐voltage, leading to rapid decay. There is still no reliable mechanistic explanation for this phenomenon. It has been detected that residual alkali on the cathode surface under high voltage can cause obvious side reactions. This side reaction will affect the capacity retention of the material and increase the internal stress of the particles. In addition, the surface reconstruction of Ni‐rich cathodes is achieved through simple chemical reactions, turning waste into treasure. The newly generated Ti‐based layer not only repairs the structure of the nickel‐rich material but also optimizes the material from a dynamic perspective. Removing residual lithium components on the cathode surface effectively reduces the hydrolysis and self‐catalytic side reactions of PF6− at the electrolyte cathode interface and suppresses gas generation during cycling, promoting the application of the next generation of high‐energy density Ni‐rich layered cathode‐based lithium batteries with high‐voltage.
Factors Associated With Missing Biological Samples in the Dog Aging Project
Authors: Holland Sydney N. , Tinkle Amanda K. , Prescott Jena N. , Blattman Brianna L. , McClelland Robyn L. , Nam Yunbi ,   Dog Aging Project Consortium, Creevy Kate E. , Fajt Virginia R. 
Published: November 2024

ABSTRACTBackgroundThe Dog Aging Project (DAP) is a longitudinal study examining aging in US companion dogs, where missing data pose a challenge to result validity and statistical power. Early recognition and procedural adjustments are vital to address missing samples.ObjectivesThis research assesses missing biospecimen samples within the PRECISION cohort of the DAP, aiming to identify contributing factors and propose mitigation strategies.MethodsNinety sample kits collected between August 2021 and October 2021 were evaluated for the missingness of individual kit components. A primary assessment reviewed the missingness of each sample type with hypothesized associated factors. A secondary assessment addressed the missingness of plasma and serum aliquots made after check‐in.ResultsEDTA samples for flow cytometry, peripheral blood mononuclear cells (PBMCs), DNA and biobanking were missing at rates of 18.9%, 13.3%, 6.7% and 5.6%, respectively. Faecal samples were missing at 5.6%. Urine and plasma were each missing at 2.2%. Serum, hair and dried blood spot cards were each missing at 1.1%. No statistically significant difference in missingness was seen across regions, ease of blood collection, or cooperativeness of dog during sample collection. Higher time‐to‐receipt was associated with a higher missingness proportion. Increasing missingness proportions were seen across plasma and serum aliquots that were created in sequential order.ConclusionThe study suggests reevaluating sample collection instructions to address frequently missing sample types and prevent further loss. Investigation into collection procedures for these types is recommended to identify potential causes of sample yield loss.
Testicular enlargement, abdominal pain and vomiting in 3‐month‐old, male, entire Airedale terrier
Authors: Pathak Nirali , Williams Rachel , Brasali Hania 
Published: November 2024

AbstractNon‐neoplastic scrotal testicular torsions in juvenile dogs have been rarely reported. This case report describes a scenario in which a patient presented with abdominal pain, vomiting and unilateral testicular enlargement. The primary veterinarian performed abdominal radiographs that were suspicious for a hernia. The patient was referred to a specialty hospital for further diagnostics and treatment. Upon referral, an abdominal ultrasound revealed a suspected non‐neoplastic scrotal testicular torsion. The patient underwent hemicastration to remove the affected testis and recovered uneventfully.
Recommendations for Clinicians, Technologists, and Healthcare Organizations on the Use of Generative Artificial Intelligence in Medicine: A Position Statement from the Society of General Internal Medicine
Authors: Crowe Byron , Shah Shreya , Teng Derek , Ma Stephen P. , DeCamp Matthew , Rosenberg Eric I. , Rodriguez Jorge A. , Collins Benjamin X. , Huber Kathryn , Karches Kyle , Zucker Shana , Kim Eun Ji , Rotenstein Lisa , Rodman Adam , Jones Danielle , Richman Ilana B. , Henry Tracey L. , Somlo Diane , Pitts Samantha I. , Chen Jonathan H. , Mishuris Rebecca G. 
Published: November 2024

Abstract
Generative artificial intelligence (generative AI) is a new technology with potentially broad applications across important domains of healthcare, but serious questions remain about how to balance the promise of generative AI against unintended consequences from adoption of these tools. In this position statement, we provide recommendations on behalf of the Society of General Internal Medicine on how clinicians, technologists, and healthcare organizations can approach the use of these tools. We focus on three major domains of medical practice where clinicians and technology experts believe generative AI will have substantial immediate and long-term impacts: clinical decision-making, health systems optimization, and the patient-physician relationship. Additionally, we highlight our most important generative AI ethics and equity considerations for these stakeholders. For clinicians, we recommend approaching generative AI similarly to other important biomedical advancements, critically appraising its evidence and utility and incorporating it thoughtfully into practice. For technologists developing generative AI for healthcare applications, we recommend a major frameshift in thinking away from the expectation that clinicians will “supervise” generative AI. Rather, these organizations and individuals should hold themselves and their technologies to the same set of high standards expected of the clinical workforce and strive to design high-performing, well-studied tools that improve care and foster the therapeutic relationship, not simply those that improve efficiency or market share. We further recommend deep and ongoing partnerships with clinicians and patients as necessary collaborators in this work. And for healthcare organizations, we recommend pursuing a combination of both incremental and transformative change with generative AI, directing resources toward both endeavors, and avoiding the urge to rapidly displace the human clinical workforce with generative AI. We affirm that the practice of medicine remains a fundamentally human endeavor which should be enhanced by technology, not displaced by it.
Discussing the spectrum of physics-enhanced machine learning: a survey on structural mechanics applications
Authors: Haywood-Alexander Marcus , Liu Wei , Bacsa Kiran , Lai Zhilu , Chatzi Eleni 
Published: November 2024

Abstract
The intersection of physics and machine learning has given rise to the physics-enhanced machine learning (PEML) paradigm, aiming to improve the capabilities and reduce the individual shortcomings of data- or physics-only methods. In this paper, the spectrum of PEML methods, expressed across the defining axes of physics and data, is discussed by engaging in a comprehensive exploration of its characteristics, usage, and motivations. In doing so, we present a survey of recent applications and developments of PEML techniques, revealing the potency of PEML in addressing complex challenges. We further demonstrate the application of select such schemes on the simple working example of a single degree-of-freedom Duffing oscillator, which allows to highlight the individual characteristics and motivations of different “genres” of PEML approaches. To promote collaboration and transparency, and to provide practical examples for the reader, the code generating these working examples is provided alongside this paper. As a foundational contribution, this paper underscores the significance of PEML in pushing the boundaries of scientific and engineering research, underpinned by the synergy of physical insights and machine learning capabilities.
Developing and evaluating a design method for positive artificial intelligence
Authors: van der Maden Willem , Lomas Derek , Hekkert Paul 
Published: November 2024

Abstract
In an era where artificial intelligence (AI) permeates every facet of our lives, the imperative to steer AI development toward enhancing human wellbeing has never been more critical. However, the development of such positive AI poses substantial challenges due to the current lack of mature methods for addressing the complexities that designing AI for wellbeing poses. This article presents and evaluates the positive AI design method aimed at addressing this gap. The method provides a human-centered process for translating wellbeing aspirations into concrete interventions. First, we explain the method’s key steps: (1) contextualizing, (2) operationalizing, (3) designing, and (4) implementing supported by (5) continuous measurement for iterative feedback cycles. We then present a multi-case study where novice designers applied the method, revealing strengths and weaknesses related to efficacy and usability. Next, an expert evaluation study assessed the quality of the case studies’ outcomes, rating them moderately high for feasibility, desirability, and plausibility of achieving intended wellbeing benefits. Together, these studies provide preliminary validation of the method’s ability to improve AI design, while identifying opportunities for enhancement. Building on these insights, we propose adaptations for future iterations of the method, such as the inclusion of wellbeing-related heuristics, suggesting promising avenues for future work. This human-centered approach shows promise for realizing a vision of “AI for wellbeing” that does not just avoid harm, but actively promotes human flourishing.
USLC: Universal self‐learning control via physical performance policy‐optimization neural network
Authors: Zhang Yanhui , Liang Xiaoling , Chen Weifang , Lu Kunfeng , Xu Chao , Ge Shuzhi Sam 
Published: November 2024

AbstractThis article proposes an online universal self‐learning control (USLC) algorithm based on a physical performance policy‐optimization neural network, which aims to solve the problem of universal self‐learning optimal control laws for nonlinear systems with various uncertain dynamics. As a key system characterization, this algorithm predicts the discrepancy between the optimal and current control laws by evaluating overall performance in each iterative learning cycle, leveraging an offline‐trained universal policy network. This approach is universal, as it does not rely on an exact system model and can adaptively control performance preferences across various tasks by customizing the physical performance cost weights. Using the established control law‐performance surface and contraction Lyapunov function, the necessary assumptions and proofs for the stable convergence of the system within a three‐dimensional manifold space are provided. To demonstrate the universality of USLC, simulation experiments are conducted on two different systems: a low‐order circuit system and a high‐order variable‐span aircraft attitude control system. The stable control achieved under varying initial values and boundary conditions in each system illustrates the effectiveness of the proposed method. Finally, the limitations of this study are discussed.
Reduced order modelling method for electromagnetic analysis of electrical machines
Authors: Mohamodhosen Bilquis , Riley Christopher , Ilea Dan 
Published: November 2024

AbstractThis paper presents a workflow to create a reduced order model for the electromagnetic analysis of electrical machines over its operating range so that the stator forces can be exported for mechanical analysis. A permanent magnet synchronous motor developed within the EDISON (Electric Drivetrain Integration by Simulation and OptimizatioN) project is used as a model to validate the workflow. The response surface model approximation method is used to generate the reduced order model, which is then validated by comparing with the results from finite element analyses.
Full statistics of regularized local energy density in a freely expanding Kipnis–Marchioro–Presutti gas
Authors: Bettelheim Eldad , Meerson Baruch 
Published: November 2024

Abstract
We combine the Macroscopic Fluctuation Theory and the Inverse Scattering Method to determine the full long-time statistics of the energy density

u
(
x
,
t
)

averaged over a given spatial interval,

U
=

1

2
L

∫

−
L

L

d

x

u

(
x
,
t
)

,

in a freely expanding Kipnis–Marchioro–Presutti (KMP) lattice gas on the line, following the release at t = 0 of a finite amount of energy at the origin. In particular, we show that, as time t goes to infinity at fixed L, the large deviation function of U approaches a universal, L-independent form when expressed in terms of the energy content of the interval

|
x

|

<
L

. A key part of the solution is the determination of the most likely configuration of the energy density at time t, conditional on U.
Research on Crude Oil Transportation Technology of Hu-Huan Pipeline in Huanqing Block
Authors: Bian Zhong , Ba Zhipeng , Du Libing , Duan Chaozhu , Tang Jianxin , Wang Yong 
Published: November 2024

Abstract
This study comprehensively analyzes the performance of the Hu-Huan-Huan Pipeline (Hu-Huan Pipeline) in the Huanqing Block under different crude oil transportation processes, especially the additive-modified transportation process and the blank oil transportation process. Through in-depth analysis of the properties of additive-modified crude oil, simulation tests, and hydraulic and thermal calculations, it aims to solve the transportation challenges of the Hu-Huan Pipeline under extreme environmental conditions and ensure the safety, efficiency, and economy of pipeline operations. Research results show that the additive-modified transportation process can significantly improve the fluidity of crude oil and enhance transportation capacity and safety. Adding an appropriate amount of additives can reduce the viscosity of crude oil, reduce internal friction in the pipeline, and improve fluid movement efficiency, thereby effectively reducing transmission pressure loss and increasing transportation stability. In contrast, although the blank oil delivery process is feasible under certain conditions, it has limitations under extreme conditions. The viscosity of blank oil is high and it is easy to form scaling on the inner walls of pipelines, which increases the frequency of pipeline cleaning and maintenance, and also increases operating costs and risks. By comparing and analyzing the performance of the two processes, the best transportation strategies and suggestions for Hu-ring pipelines are put forward. For the additive-modified transportation process, it is recommended to add additives appropriately and optimize transportation parameters to ensure stable transportation of crude oil and safe operation of the pipeline system. For the blank oil transportation process, it is recommended to clean and maintain the pipeline regularly to reduce the occurrence of scaling and blockage and improve the reliability and sustainability of the system. In summary, this study provides an important reference for the optimized operation of similar pipeline systems in the future. By fully considering the impact of crude oil performance and transportation technology, pipeline transportation efficiency can be effectively improved, operational risks can be reduced, and the safety and sustainability of energy transportation can be ensured.
Research on Refined Water Injection Technology for Medium and High Water Cut Reservoirs in Nanpu 4 Block
Authors: Geng Ruijie , He Yiran , Zhang Jie , Yu Chenglin , Li Minglin , Duan Jian 
Published: November 2024

Abstract
For water injection development reservoir, the key is to control the di-rection and flow field of the injected water in the reservoir to adjust the tapping of the remaining oil between wells. This paper presents that, by applying the comprehensive discrimination technique of inefficient cir-culation flow field, a flow field evaluation model containing permeabil-ity, overwater multiplier and water saturation seepage characteristics parameters is established and the small layer flow field distribution is quantitatively evaluated by numerical simulation. Based on the geo-logical characteristics, development characteristics and grid inefficient circulation coefficients, the flow field is qualitatively classified into three types: streamline not established, streamline primary and sec-ondary, and streamline fixed and difficult to adjust. Based on the re-search of domestic and foreign literature and numerical simulation, the management system of different types of flow fields is studied to clari-fy the reasonable development technology policy of reservoir flow field adjustment and tapping the remaining oil between wells, so as to achieve the purpose of controlling the reservoir water content rise rate, reducing the water content rate and improving the recovery rate. The mine field experiments conducted in Nanpu 4 block showed that the recovery rate of the block increased by 4 percentage points, indicating that the block development achieved significant results. This is an im-portant guideline for reservoir development in low recovery, medium to high water-bearing reservoirs with water injection development.
Study of electrical resistivity vertical changes in carbonate oil-bearing reservoirs to determine the depth of free water level
Authors: Delev A N , Sidorov S V , Rizvanova Z M , Leontyev A A , Novikova S P 
Published: November 2024

Abstract
The purpose of the study is to establish the depth of the free water level (FWL), the zone of oxidized oil, the oil-water transition zone, the zone of maximum and decreasing resistivity. Correct understanding of initial oil saturation zonation in carbonate oil-bearing reservoirs is very important for development planning. The article proposes a method for express assessment of the FWL depth and initial oil saturation zonation in carbonate oil-bearing reservoirs based on electrical resistivity study. The values of electrical resistivity determined from induction logging curves in more than 200 wells were used as initial data. The vertical change in the electrical properties is considered using the resistivity values of oil-bearing reservoirs averaged over all wells. The initial oil saturation zonation was analysed using the graphs of electrical resistivity against depth. As a result of the work done, the following conclusions were made regarding the zonation of initial oil saturation and the possible geological characteristics of carbonate oil-bearing reservoirs: 1) based on the graphs of electrical resistivity against depth it is possible to distinguish 3 zones of initial oil saturation: oil-water transition zone above FWL, zone of maximum resistivity in the middle part of the deposit, and zone of decreasing resistivity in the upper part of the deposit; 2) in general, the initial oil saturation in the reservoir (as a function of the electrical resistivity) upward from the initial FWL depth does not grow exponentially, as in the Leverett function, but linearly in each zone. Proposed express method for initial oil saturation zonation in carbonate reservoirs provides novel information for formation testing and perforation planning. In oil-water transition zone it is recommended to use the gentlest methods of perforation and production intensification to preserve the integrity of the oxidized oil zone, since this zone is water confining and can prevent premature water flooding of the product.
Reservoir numerical simulation method considering time-varying relative permeability during polymer flooding process
Authors: Zhou Wensheng , Li Baozhen , Tang Engao , Zhang Jian , Yong Wei 
Published: November 2024

Abstract
In response to the abnormal decline in liquid production capacity during the middle and later stages of chemical flooding in Chinese offshore oil fields, in-depth analysis was conducted using reservoir engineering, dynamic analysis, and reservoir simulation methods. Because of the viscoelasticity of polymer solution, the relative permeability curve of oil/water during polymer flooding is different from that during water flooding, including the minimum mobile water saturation and residual oil saturation. In this study, an interpolation coefficient ‘f’ related to polymer solution concentration was firstly proposed for simplicity. Then, reservoir numerical simulation with the self-developed simulator ‘SIMFAST’ were conducted to investigate the influence of the interpolation coefficient ‘f’ on the injector and producer performance and the applications in actual field production history matching. The results indicated that compared with the commercial simulators, the self-developed simulator with the interpolation factor could more reliably describe the characteristic of the injected polymer solution in controlling water cut rise, and more efficiently simplify the combination of parameters on relative permeability curves during polymer flooding in offshore oilfields. Finally, above reservoir simulation method considering the change of the relative permeability curves during chemical flooding, was successfully conducted in the production history matching in J oilfield in Bohai Bay China, in terms of oil rate & water cut parameters. The research results give an efficient method to investigate the fluid seepage behaviour variation and its influence on oil rate and water cut during polymer flooding in China offshore reservoirs, which offers very useful technical support for the accurate design of chemical flooding schemes.