bluuebunny/crossref_metadata_2025_split huggingface dataset:
Generalized Brans-Dicke cosmology, noether symmetries and quantization
Authors: Ribas M O , Bonato H O , Constantinidis C P , Devecchi F P 
Published: July 2024

Abstract
A generalized Brans-Dicke theory of gravitation is applied to investigate a cosmological model for a primordial universe that includes a self-interacting bosonic field as source. This model permits, initially, to consider an arbitrary ω function, not usual for BD formulations. The imposition of Noether symmetries conditions identifies a reduced space for the ω function. This model is shown to present a variety of behaviors consistent with a primordial era, depending on the parameters chosen. We find that the bosonic field is capable of promoting a transition from an initially accelerated to a decelerated regime. The self-interaction potential is also restricted by the Noether conditions, and can be interpreted as a vacuum energy contribution. The model also permits a quantization process, going through a hamiltonian formulation and recognizing the presence of cyclic variables. The Bohm approach shows as result a consistent model with a smooth classical limit as the Universe leaves the Planck era.
Data-driven simulation-assisted-Physics learned AI (DPAI) for heat diffusion in large grain polycrystalline materials
Authors: Bhemani Nishi , Gantala Thulsiram , Balasubramaniam Krishnan 
Published: July 2024

Abstract
In this paper, we propose Data-driven simulation-assisted Physics-learned Artificial Intelligence (DPAI), a deep-learning algorithm to simulate heat diffusion in large-grain polycrystalline materials. The DPAI model captures the spatio-temporal representation of heat diffusion in the material from input sequences from the training dataset. The training dataset consists of various temperature plots of polycrystalline materials taken from Finite Element (FE) simulations having varying numbers of grains oriented in random directions with a single-point heat source at the center. The arbitrary plane of the 3D microstructure of these materials is represented using 2D Voronoi tessellations. Voronoi configurations are used to model the geometry of the 2D Computer-Aided Design (CAD) model. Each cell of the Voronoi tessellation represents one grain of the microstructure. This CAD model is used as an input to the FE for solving heat diffusion equations. To model the near-realistic material anisotropy and accurately measure temperature differences at cell boundaries, a smaller mesh size is required in FE modeling, which takes considerable solver time. Therefore, the proposed Deep learning model significantly reduces the computational time while maintaining accuracy as compared to conventional numerical techniques. After training, the effectiveness of the trained DPAI model is examined by modeling larger domain problems involving a greater number of grains and varying material properties. The simulation result is qualitatively compared with the experiment. A scaled-up version of the microstructure is represented using Unidirectional Carbon Fiber laminate. The laminate is heated with a point heat source and the temperature plots are captured using Infrared Camera.
Wavelet-modified segmented phase-only filter for in-plane rotated object recognition
Authors: Kumar Rahul , Nishchal Naveen K , Alfalou Ayman 
Published: July 2024

Abstract
In this paper, we propose and implement a wavelet-modified segmented phase-only filter for in-plane rotated object recognition. The wavelet filter is combined with the segmented phase-only filter to significantly enhance the correlation capability of the optical processor. To verify the consistency of the results, we have calculated the performance measure parameters such as peak-to-correlation energy, peak-to-sidelobe ratio, discrimination ratio and signal-to-noise ratio and compared the performance with a conventional segmented phase-only filter. For carrying out the study, we have developed a dataset of different distorted objects such as alphabets, digits, vehicles, fighter planes. Through a series of experiments and case studies, we are able to prove that the proposed filter reduces the false alarm rate while increasing recognition capability.
A holistic approach to assessing REDD+ forest loss baselines through ex post analysis
Authors: Pauly Maren , Crosse William , Moore Colin , Brown Kevin , Griffin Oliver , Mitchard Edward T A , Freund Jeremy , Tosteson Joshua 
Published: July 2024

Abstract
The implementation of REDD+ (Reducing Emissions from Deforestation and Forest Degradation) projects has become a key Nature Based Solutions strategy to protect at-risk forests using the sale of verified emission reductions (carbon credits) as financing, generated by reducing forest loss against counterfactual baseline scenarios. Controversy over the reasonableness of such baseline scenarios has thrown this nascent market mechanism into disarray. While new technical approaches to baseline-setting that promise wider market acceptance are set to roll out in the coming years, existing projects are becoming unviable, as carbon credit buyers reduce investment due to lost confidence in the integrity of emissions reduction claims. Transparent, reproducible methods to assess existing REDD+ project baselines are needed in order to provide a clearer picture of the real impact of projects, and provide an objective basis on which investment decisions can be made today. Here we introduce such a method. In contrast to existing studies which utilize only one method to create a single ‘control,’ we integrate actual forest loss rates from a variety of control sites to establish a ‘zone of reasonable accuracy (or ZORA)’. Application of our method in Cambodia, using two geospatial datasets (one global and one locally calibrated), shows that all three project baselines fall within or below ZORA. This approach is fully reproducible, and provides a transparent way for analysts to assess REDD+ baselines during this critical time when investment in forest protection must increase dramatically and without delay.
Detection of ethanol gas at room temperature by In2O3-based screen-printed films fabricated through particle-free aqueous solution combustible inks
Authors: Vardhan Robbi Vivek , Praveen Lakkimsetti Lakshmi , Manjunath G , Nagaraju P , Seikh Asiful Hossain , Alnaser Ibrahim A , Mandal Saumen 
Published: July 2024

Abstract
The current work investigates the room temperature ethanol gas detection capabilities of pristine, Sn-doped, Zn-doped, Sn & Zn co-doped In2O3-based screen-printed films, fabricated using particle-free aqueous solution combustible inks on glass substrates. The fabricated films were pure, polycrystalline with cubic bixbyite crystal structure, porous, and transparent (∼75 to 95%) in the visible range. Relatively high surface roughness was detected in pristine film than in doped films. Ethanol gas was detected by all the films at room temperature. Among all, the pristine film showed a relatively greater gas response at all concentrations of ethanol gas ranging from 25 ppm to 100 ppm. This superior gas response was attributed to comparatively greater oxygen vacancy concentration (OV/OL), relative area fraction of surface adsorbed oxygen (% of OA), and high surface roughness with porosity. The maximum ethanol gas response attained was ∼17 at 100 ppm concentration by the pristine film, which also demonstrated high selectivity to ethanol gas.
The divergence and driving factors of corporate environmental information disclosure in China
Authors: Shen Liwen , Qian Wenchu , Yang Yongliang 
Published: July 2024

Abstract
Corporate environmental information disclosure (EID) has been a widely acknowledged issue in the field of ecological environment research. This paper explores the spatiotemporal evolution characteristics of EID in China from 2008 to 2022, and discusses the industry and regional heterogeneity. It reveals significant differences in EID between heavy and non-heavy polluting industries, as well as among different economic regions, revealing that there is still significant potential for improvement in corporate environmental governance. Further, this paper establishes a two-way fixed effects model and empirically investigates the effects of internal and external driving factors on EID. In addition, Lasso regression model is used to screen the vital driving factors and analyze their relative importance. The empirical results show that enterprise size, management age, operating capacity, supervisory board size, and debt capacity have relatively more substantial explanations for changes in EID, which are more critical driving factors. The contribution of the study is to provide valuable reference for constructing corporate EID indicator system, and to points out the direction for the sustainable development of enterprises in different industries and regions. At the same time, it has theoretical guiding significance for finding the factors that promote EID and strengthening regional environmental governance.
Top three intelligent algorithms for OAM mode recognitions in optical communications
Authors: Wang Binbin , Zhang Xizheng , Shah Syed Afaq Ali , Merabet Badreddine , Kovalev Alexey A , Stafeev Sergey S , Kozlova Elena S , Kotlyar Victor V , Guo Zhongyi 
Published: July 2024

Abstract
Vortex optical communication employing orbital angular momentum (OAM) has been a hot research field in recent years. Thanks to the orthogonality of the OAM, several multiplexing and modulation techniques have been developed that can effectively improve communication capacity. However, to achieve this, accurate mode recognition in the OAM-based free-space optical (FSO) communication system is essential. Generally, perturbations in the free space link significantly affect the transmission efficiency and distort the helical phase-front of OAM beams, which will result in intermodal crosstalk and poses a critical challenge in the recognition of OAM modes. To date, artificial intelligence (AI) technologies have been widely applied to address the aforementioned bottleneck of insufficient accuracy of existing techniques for OAM mode detection. Therefore, a review paper that discusses the recent developments and challenges of the most widely used AI algorithms for OAM mode recognition schemes, i.e., feedforward neural network (FNN), convolutional neural network (CNN), and diffractive deep neural networks (D2NN) is urgently required. By elaborating on the principles of these algorithms and analyzing recent reports, encompassing both experimental and simulated results, we established their profound importance in enhancing the accuracy of OAM mode recognition. Moreover, this work provides an outlook on the recent trends in this newly developed field and the critical challenges faced in effectively using AI for improving the reliability of the OAM-based FSO communication system in near future.
What Logical Consequence Could, Could Not, Should, and Should Not Be
Authors: Uckelman Sara L 
Published: July 2024

Abstract
In ‘Logical Consequence (Slight Return)’, Gillian Russell asks ‘What is logical consequence?’, a question which has vexed logicians since at least the twelfth century, when people first began to wonder what it meant for one sentence (or proposition) to follow from another sentence (or proposition, or set of sentences, or set of propositions), or whether it was possible to put down rules determining when the relation of ‘follows from’ (or ‘is antecedent to’) holds. Her aim is threefold: (1) to explain what an answer to the question ‘What is logical consequence?’ would need to be able to do in order to be a satisfying answer; (2) to identify previous answers to the question; and (3) to demonstrate why these previous answers are inadequate to do what the answer needs to be able to do, and to offer a new answer. In the present paper, I respond to these aims in two ways. The first is to say something about where Russell’s central question even comes from, because this is not a topic that is often discussed by twentieth- and twenty-first-century logicians, and even historians of logic tend to not have had much to say about when—and why—this question even comes about in the first place. The second is to evaluate the accounts proposed and discussed by Russell, including her new proposal. In the end, I will argue that she has reached the right account of the nature of logical consequence, but not necessarily for the right reasons.
T cells immune imbalance presents in patients with multiple intracranial aneurysms
Authors: Tao Chuming , Liu Chenglong , Ge Peicong , Chan Liujia , Pang Yuheng , Li Junsheng , He Qiheng , Liu Wei , Mou Siqi , Zheng Zhiyao , Zhang Bojian , Zhao Zhikang , Sun Wei , Zhang Qian , Wang Rong , Zhang Yan , Wang Wenjing , Zhang Dong , Zhao Jizong 
Published: July 2024

Abstract
Growing evidence suggests that systemic immune and inflammatory responses may play a critical role in the formation and development of aneurysms. Exploring the differences between single intracranial aneurysm (SIA) and multiple IAs (MIAs) could provide insights for targeted therapies. However, there is a lack of comprehensive and detailed characterization of changes in circulating immune cells in MIAs. Peripheral blood mononuclear cell (PBMC) samples from patients with SIA (n = 16) or MIAs (n = 6) were analyzed using high-dimensional mass cytometry to evaluate the frequency and phenotype of immune cell subtypes. A total of 25 cell clusters were identified, revealing that the immune signature of MIAs included cluster changes. Compared to patients with SIA, patients with MIAs exhibited immune dysfunction and regulatory imbalance in T-cell clusters. They also had reduced numbers of CD8+ T cells and their subgroups CD8+ Te and CD8+ Tem cells, as well as reduced numbers of the CD4+ T-cell subgroup CD27−CD4+ Tem cells. Furthermore, compared to SIA, MIAs were associated with enhanced T-cell immune activation, with elevated expression levels of CD3, CD25, CD27, CCR7, GP130, and interleukin 10. This study provides insights into the circulating immune cell profiles in patients with MIAs, highlighting the similarities and differences between patients with SIA and those with MIAs. Furthermore, the study suggests that circulating immune dysfunction may contribute to the development of MIAs.
Transfers from home to facility-based dialysis: comparisons of HHD, assisted PD and autonomous PD
Authors: Lanot Antoine , Bechade Clémence , Couchoud Cécile , Lassalle Mathilde , Chantrel François , Sarraj Ayman , Ficheux Maxence , Boyer Annabel , Lobbedez Thierry 
Published: July 2024

ABSTRACT

Background
Home dialysis therapies such as peritoneal dialysis (PD) and home hemodialysis (HHD) are beneficial for quality of life and patient empowerment. The short technique survival time partly explains their low prevalence. We aimed to assess the risk of transfer to facility-based hemodialysis in patients treated with autonomous PD, assisted PD and HHD.

Methods
This was a retrospective study using data from the REIN registry of patients starting home dialysis in France from 2002 to 2019. The risks of transfer to facility-based hemodialysis (HD) were compared between three modalities of home dialysis (HHD, nurse-assisted PD, autonomous PD) using survival models with a propensity score (PS)-matched and unmatched cohort of patients.

Results
The study included 17 909 patients: 628 in the HHD group, 10 214 in the autonomous PD group, and 7067 in the assisted PD group. During the follow-up period, there were 5347 transfers to facility-based HD. The observed number of transfers was 2458 (13.7%) at 1 year and 5069 (28.3) at 5 years after the start of home dialysis, including 3272 (32%) on autonomous PD, 1648 (23.3%) on assisted PD, and 149 (23.7) on HHD. Owing to clinical characteristics differences, only 38% of HHD patients could be matched to patients from the others group. In the PS-matched cohort, the adjusted Cox model showed no difference in the risk of transfer for assisted PD (cs-HR 1.04, 95% CI 0.75–1.44) or HHD (cs-HR 1.07, 95% CI 0.77–1.48) compared with autonomous PD.

Conclusions
Unlike results from other countries, where nurse assistance is not fully available for PD-associated care, there was no difference in technique survival between autonomous PD, nurse-assisted PD, and HHD in France. This discrepancy may be attributed to our inclusion of a broader spectrum of patients who derive significant benefits from assisted PD.
The validity of pathology codes for biopsy-confirmed kidney disease in the Danish National Patobank
Authors: Møller Marie , Bressendorff Iain , Borg Rikke , Dieperink Hans , Gregersen Jon W , Hansen Helle , Hommel Kristine , Hornum Mads , Ivarsen Per , Jensen Karina H , Jørgensen Morten B , Kristensen Tilde , Krustrup Dorrit , Mose Frank H , Rossing Peter , Otte Kjeld E , Persson Frederik , Schandorff Kristine D , Hansen Ditte 
Published: July 2024

ABSTRACT

Background
This study validates the application of Systematized Nomenclature of Medicine second edition (SNOMED II) codes used to describe medical kidney biopsies in Denmark in encoded form, aiming to support robust epidemiological research on the causes, treatments and prognosis of kidney diseases.

Methods
Kidney biopsy reports from 1 January 1998 to 31 December 2018 were randomly extracted from the Danish National Patobank, using SNOMED codes. A 5% sample was selected, and nephrologists assessed the corresponding medical records, assigning each case the applied clinical diagnoses. Sensitivity, specificity, positive predictive values (PPV), negative predictive values and Cohen's kappa coefficient for the retrieved SNOMED codes were calculated.

Results
A total of 613 kidney biopsies were included. The primary clinical disease groups were glomerular disease (n = 368), tubulointerstitial disease (n = 67), renal vascular disease (n = 51), diabetic nephropathy (n = 51) and various renal disorders (n = 40). Several SNOMED codes were used to describe each clinical disease group and PPV for the combined SNOMED codes were high for glomerular disease (94%), diabetic nephropathy (85%) and systemic diseases affecting the kidney (96%). Conversely, tubulointerstitial disease (62%), renal vascular disease (60%) and other renal disorders (17%) showed lower PPV.

Conclusions
SNOMED codes have a high PPV for glomerular diseases, diabetic nephropathy and systemic diseases affecting the kidney, in which they could be applied for future epidemiological research.
Thermal profiles of Cicindelidia haemorrhagica (Coleoptera: Cicindelidae) activity in hot springs in Yellowstone National Park
Authors: Bowley John L , Heveran Chelsea , Weaver David K , Adams Braymond , Rohwer Monica , Willemssens Kelly , Oberg Erik , Higley Leon G , Peterson Robert K D 
Published: July 2024

Abstract
The wetsalts tiger beetle, Cicindelidia haemorrhagica (LeConte) (Coleoptera: Cicindelidae), is found in several active thermal hot spring areas in Yellowstone National Park (YNP) where substrate surface temperatures can exceed 50 °C. However, relationships between surface temperatures and the time adults spend on them remain poorly understood. Therefore, we characterized thermal profiles of Dragon Spring and Rabbit Creek, 2 thermally active research sites containing C. haemorrhagica in YNP, to quantify the time adults spend at different surface temperatures. We took 58 thermal video recordings of adults over 6 total days of observation ranging from 10 to 15 min for each adult. Thermal video analysis results indicated a positive relationship between the total time adult beetles spent on surface temperatures from Dragon Spring and Rabbit Creek as temperatures increased from 20 °C. Once surface temperatures exceeded 40 °C, the total time spent at those surface temperatures declined. Adults were recorded on substrates exceeding 50 °C at one of the 2 research locations. Rabbit Creek had substantially more instances of adults present with surface temperatures exceeding 40 °C, including one individual on a surface temperature of 61.5 °C. There were 3 instances of beetles spending more than 4 min at a particular surface temperature, all within the preferred range of 30–40 °C. Our thermal profile results and previous behavioral observations suggest that adults may be resistant to the heat produced from the thermal waters that influence the substrate temperatures but may not be subject to high surface temperatures as previously reported.
Prognostic implications and alterations in left atrial deformation following transcatheter aortic valve implantation
Authors: Butcher Steele C , Hirasawa Kensuke , Meucci Maria Chiara , Stassen Jan , Kuneman Jurrien H , Pereira Ana Rita , van der Kley Frank , de Weger Arend , van Rosendael Philippe J , Marsan Nina Ajmone , Playford David , Delgado Victoria , Bax Jeroen J 
Published: July 2024

Abstract

Aims
To evaluate the prognostic implications of the left atrial reservoir strain–defined diastolic dysfunction (LARS-DD) grade in patients undergoing transcatheter aortic valve implantation (TAVI) for severe aortic stenosis (AS) and to determine whether post-TAVI LARS was more closely associated with new-onset atrial fibrillation than pre-TAVI LARS.

Methods and results
Pre-TAVI LARS-DD was evaluated by speckle-tracking echocardiography and was assigned as Grade 0 to 1 (LARS ≥24%), Grade 2 (LARS 19–24%), and Grade 3 (LARS &lt;19%). Patients were followed up for the primary endpoint of all-cause mortality from the date of TAVI. For the secondary endpoint, patients with pre- and post-TAVI LARS measurements and no history of atrial fibrillation were evaluated for the occurrence of new-onset atrial fibrillation. A total of 601 patients [median age 81 (76–85) years, 53% males] were included. Overall, 169 patients (28%) were LARS-DD Grade 0/1, 96 patients (16%) were LARS-DD Grade 2, and 336 (56%) were LARS-DD Grade 3. Over a median follow-up of 40 (interquartile range 26–58) months, a total of 258 (43%) patients died. In a comprehensive multivariable Cox regression model, the LARS-DD grade was independently associated with all-cause mortality [adjusted hazard ratio (HR) 1.28 per one-grade increase, 95% confidence interval (CI) 1.07–1.53, P = 0.007]. For the secondary endpoint of new-onset atrial fibrillation, a total of 285 patients were evaluated. Post-TAVI LARS (subdistributional HR 1.14 per 1% &lt;20%, 95% CI 1.05–1.23, P = 0.0009), but not pre-TAVI LARS (P = 0.93), was independently associated with new-onset atrial fibrillation.

Conclusion
An increased LARS-DD grade was independently associated with long-term post-TAVI survival in patients with severe AS. Post-TAVI LARS was closely related to the occurrence of new-onset atrial fibrillation.