bluuebunny/crossref_metadata_2025_split huggingface dataset:
Feature matching of remote‐sensing images based on bilateral local–global structure consistency
Authors: Chen Qing‐Yan , Feng Da‐Zheng 
Published: August 2023

AbstractThe goal of feature matching is to establish accurate correspondences between feature points in different images depicting the same scene. To address the polymorphism of local structures, the authors propose a mismatch removal method using bilateral local–global structural consistency. This method incorporates the problem of mismatch removal into the framework of graph matching, constructs a global affinity matrix using local structural similarity and global affine transformation consistency, and optimizes it using a constrained integer quadratic programming method. To comprehensively describe the local structure, the signature quadratic form distance (SQFD) is used to measure the consistency of the neighbourhood structure. Specifically, the weights of edges are constructed based on the SQFD of the local structure, while the matching correctness of nodes and edges between the two graphs is described using local vector similarity. Furthermore, the consistency of the global affine transformation is evaluated by assessing the consistency of the local neighbourhood affine transformation between different corresponding point pairs. In estimating the local affine transformation, a bilateral correction is performed using a total least‐squares (TLS) algorithm to measure the similarity of nodes between the two different graphs. Experimental results demonstrate that the proposed algorithm outperforms state‐of‐the‐art methods in terms of accuracy and effectiveness.
Construction and simulation analysis of lithium‐ion batteries thermoelectric coupling model based on digital twin
Authors: Liu Lingchong , Dong Shufeng , Nan Bin , Lu Kaicheng 
Published: August 2023

AbstractWith the rapid development of energy storage technology, it is significant to evaluate the operating status of lithium‐ion batteries efficiently and accurately, so as to ensure their safe operation and reduce the probability of accidents. For the problems of long simulation time and low accuracy in existing models, this paper proposes a construction method of lithium‐ion batteries thermoelectric coupling model based on digital twin. First, the digital twin structure system of lithium‐ion batteries is proposed. Second, considering the coupling effects of the thermodynamic model and the equivalent circuit model, the thermoelectric coupling model is constructed based on the digital twin platform ANSYS TwinBuilder. The thermodynamic model is reduced in order and the simulation time is reduced to second level, which improves the simulation efficiency and meets the real time simulation requirements of the digital twin. Furthermore, considering that the operating parameters of lithium‐ion batteries are variable, the parameters of the equivalent circuit model are identified online based on the variable forgetting factor recursive least squares algorithm. It updates parameters of the model and improves the simulation accuracy. Finally, the efficiency and accuracy of the model are verified through simulation analysis.
Nickel-Catalyzed Decarbonylation of α-Oxyacetic Acid Thioesters: Hydroxymethylation of Mercaptans
Authors: Zhu Yong-Ming , Tian Rui , Li Jia-Xin 
Published: August 2023

AbstractA strategy for the Ni-catalyzed decarbonylation of α-oxyacetic acid thioesters is described, providing a new pathway for the synthesis of monosulfide acetals, and further proving that oxygen atoms can stabilize an α-carbocation and promote a decarbonylation reaction. This method has good functional-group compatibility and can tolerate a wide range of electron-withdrawing, electron-neutral, and electron-donating substituents. In addition, this method complements the conventional cross-coupling reactions.
Laser-Induced Blood Coagulation for Surgical Application: A Scoping Review
Authors: Adly Afnan Sedky , Adly Mahmoud Sedky , Cuisinier Frederic , Egea Jean-Christophe , Panayotov Ivan , Adly Aya Sedky , Malthiery Eve 
Published: August 2023

AbstractThere is a lack of evidence-based reviews on the effects of laser irradiation on blood coagulation in the literature, despite a large number of clinical trials. We therefore evaluated the available evidence on laser irradiation parameters used in coagulation of blood to optimize physical parameters. We performed a literature search for recent scientific studies indexed between 2017 and 2023 using the databases of PubMed and ScienceDirect. Articles were selected based on defined inclusion and exclusion criteria, and 78 publications in total were eventually included in this scoping review. The following were found to produce significant benefits in blood coagulation for surgical application: (1) dentistry and oral surgeries: 980 nm, 27 s, 2 W, 1502.7 W/cm2, 26.5 J, 622 J/cm2, 400 μm; (2) urogenital disorders: 532 nm, 4 s, 40 W, 10600 W/cm2, 1.3 J, 424 J/cm2, 600 μm; (3) ophthalmic disorders: 810 nm, 1 s, 1 W, 3540 W/cm2, 0.75 J, 1326 J/cm2, 100 μm; (4) embryological surgeries: 1064 nm, 10 s, 25 W, 35400 W/cm2, 262.5 J, 371000 J/cm2, 332.5 μm; (5) dermatological disorders: 1064 nm, 20 W, 2440 W/cm2, 0.1 J, 24 J/cm2, 670 μm; (6) gastrointestinal disorders: 532 nm, 3 s, 20 W, 1051 W/cm2, 120 J, 26500 J/cm2, 760 μm; (7) neurological surgeries: 2.5 s, 1.5 W, 1035 W/cm2, 2 J, 1584 J/cm2, 385 μm; (8) pulmonary disorders: 1320 nm, 5s, 35 W, 12450 W/cm2, 250 J, 65000 J/cm2, 700 μm (9) cardiovascular disorders: 1064 nm, 16.5 s, 5 W, 1980.5 W/cm2, 900 J, 760 J/cm2, 400 μm. In conclusion, our scoping review identifies that combining data from all clinically heterogeneous studies suggests that laser irradiation reflects an effective method for inducing blood coagulation in several medical fields.
National culture, public health spending and life insurance consumption: an international comparison
Authors: Trinh Cong Tam , Ha Minh-Tri , Ho Nhut Quang , Alang Tho 
Published: August 2023

AbstractThis study aims to offer insight on the national cultural differences, public health expenditures, and economic freedom that persisted in life insurance expenditure across 28 advanced economies and 21 emerging and developing economies from 2002 to 2017. Our system GMM estimator’s analysis reveals that cultural factors, public health spending, economic freedom, financial development, human development, life expectancy, dependency ratio, and the Muslim religion are the major determinants of life insurance consumption at the aggregate level (i.e., for all sample economies). Between the group of advanced economies and the group of emerging and developing economies, these results, however, differ dramatically. It is noteworthy that cultural factors, such as masculinity and uncertainty avoidance, do not account for life insurance spending in advanced economies but have a statistically significant impact on life insurance consumption in emerging and developing economies. One point of interest is that our findings demonstrate that consumers in advanced nations as well as emerging and developing economies with a higher degree of public health spending and economic freedom tend to spend more on life insurance products. Both international life insurance businesses and governments from all around the world can benefit from the findings.
Warm autoantibodies mimicking alloantibodies: Three cases of autoantibodies with unusual antigenic specificity
Authors: Jacobs Jeremy W , Binns Thomas C , Abels Elizabeth , Silva Campos Juan J , Elkabbani Ragaa , Kress Anna , Sostin Nataliya , Tormey Christopher A 
Published: August 2023

Abstract

Objectives
We describe 3 cases of red blood cell (RBC) autoantibodies with unusual apparent antigenic specificity and discuss the testing methodology and implications of these findings.

Methods
All immunohematologic testing, including ABO and RhD typing, antibody detection and identification, RBC antigen phenotyping and genotyping, direct antiglobulin tests, and elution studies were performed using standardized and validated methods and reagents.

Results
Three patients were found to have autoantibodies, which were originally presumed to be alloantibodies. Case 1 was a 60-year-old man with autoanti-Jka following babesiosis; case 2 was a 79-year-old woman with an autoanti-f; and case 3 was a 28-year-old pregnant woman with an autoanti-S. Cases 1 and 2 required RBC transfusions, which were performed with Jka-negative and f-positive RBC units, respectively. No transfusion reactions were reported, and the hemoglobin responded appropriately in both cases.

Conclusions
These 3 cases complement the minimal literature regarding warm autoantibodies with unusual antigenic specificity and their potential to mediate clinically significant hemolysis. There are only rare reports of warm autoantibodies with specificity for non-Rh antigens, and prior authors have suggested that autoantibodies with mimicking specificity are usually detected only serologically; in contrast, 2 of the 3 patients herein experienced autoimmune hemolytic anemia.
Virtual biopsies: Proof of concept for a novel quantitative approach to liver biopsy adequacy and pathology education
Authors: Sweeney Jacob R , Arenas Daniel J , Fortuna Danielle , Tondon Rashmi , Furth Emma E 
Published: August 2023

Abstract

Objectives
To quantitatively measure liver biopsy adequacy requirements and the effect of a teaching intervention that uses a virtual biopsy platform.

Methods
A library of virtual liver biopsies was created using digital whole-slide, trichrome-stained tissue sections from liver resection material and QuPath image analysis software. Blinded participants staged fibrosis on the virtual biopsies before and after a teaching intervention.

Results
This platform both modeled adequacy requirements for cirrhosis diagnosis on biopsy material and measured the effect of a teaching intervention on participant performance. Using this platform, diagnostic accuracy for cirrhosis could be modeled according to the function y = λ(1 ‒ e‒x/γ). The platform demonstrated that the relationship between biopsy size and diagnostic accuracy was statistically significant and that biopsies smaller than 6 mm long and 0.8 mm wide were insufficient to diagnosis cirrhosis. The platform also measured improvement in fibrosis staging accuracy among participants following a teaching intervention.

Conclusions
These results provide proof of concept for a virtual biopsy method by which outstanding questions in anatomic pathology can be addressed quantitatively using open source software. Future work is needed to validate these findings in clinical practice.
Adaptation to pollination by fungus gnats underlies the evolution of pollination syndrome in the genus Euonymus
Authors: Mochizuki Ko , Okamoto Tomoko , Chen Kai-Hsiu , Wang Chun-Neng , Evans Matthew , Kramer Andrea T , Kawakita Atsushi 
Published: August 2023

Abstract

Background and Aims
Dipteran insects are known pollinators of many angiosperms, but knowledge on how flies affect floral evolution is relatively scarce. Some plants pollinated by fungus gnats share a unique set of floral characters (dark red display, flat shape and short stamens), which differs from any known pollination syndromes. We tested whether this set of floral characters is a pollination syndrome associated with pollination by fungus gnats, using the genus Euonymus as a model.

Methods
The pollinator and floral colour, morphology and scent profile were investigated for ten Euonymus species and Tripterygium regelii as an outgroup. The flower colour was evaluated using bee and fly colour vision models. The evolutionary association between fungus gnat pollination and each plant character was tested using a phylogenetically independent contrast. The ancestral state reconstruction was performed on flower colour, which is associated with fungus gnat pollination, to infer the evolution of pollination in the genus Euonymus.

Key Results
The red-flowered Euonymus species were pollinated predominantly by fungus gnats, whereas the white-flowered species were pollinated by bees, beetles and brachyceran flies. The colour vision analysis suggested that red and white flowers are perceived as different colours by both bees and flies. The floral scents of the fungus gnat-pollinated species were characterized by acetoin, which made up &gt;90 % of the total scent in three species. Phylogenetically independent contrast showed that the evolution of fungus gnat pollination is associated with acquisition of red flowers, short stamens and acetoin emission.

Conclusions
Our results suggest that the observed combination of floral characters is a pollination syndrome associated with the parallel evolution of pollination by fungus gnats. Although the role of the red floral display and acetoin in pollinator attraction remains to be elucidated, our finding underscores the importance of fungus gnats as potential contributors to floral diversification.
Sensory Evaluation of the Nipple-Areolar Complex Following Primary Breast Augmentation: A Comparison of Incision Approaches
Authors: Rancati Alberto O , Nahabedian Maurice Y , Angrigiani Claudio , Dip Fernando , Dorr Julio , Rancati Agustin 
Published: August 2023

Abstract

Background
The central inframammary incisional approach for breast augmentation surgery disrupts the fifth anterior intercostal nerve-artery-vein-plexus. The authors hypothesized that preservation of the fifth anterior intercostal neurovascular pedicle might completely preserve nipple-areola complex (NAC) sensitivity after implant breast augmentation.

Objectives
The aim of the study was to analyze if the use of a laterally displaced incision achieves better sensitivity results than the conventional median submammary incision in females who underwent primary breast augmentation surgery.

Methods
A group of 25 female patients (50 breasts) underwent a surgical protocol for primary prepectoral implant breast augmentation with a laterally displaced submammary incision. This group was compared to a similar group of 25 patients (50 breasts) who underwent breast augmentation through a conventional submammary central approach. Sensitivity testing with Semmes-Weinstein monofilaments was performed in both groups preoperatively and on postoperative days 2, 14, and 30, and after 6 months.

Results
Both groups were similar in age, BMI, comorbidities, and implant volumes. Preoperatively, all patients reported normal sensory function in both breasts. Postoperatively, in the laterally displaced incision group, sensory function remained normal in NAC areas, whereas in the conventional incision group, all cases presented the same degree of sensitivity diminution at Days 2, 14, and 30 (P = .000). At 6 months, all values were the same as at Day 30.

Conclusions
Preservation of the fifth AIC pedicle resulted in complete preservation of preoperative NAC sensitivity. The laterally placed inframammary incision should be considered for patients undergoing primary prepectoral implant breast augmentation.

Level of Evidence: 4
Epidemiology of Breast Implant–Associated Anaplastic Large Cell Lymphoma in the United States: A Systematic Review
Authors: Santanelli di Pompeo Fabio , Clemens Mark W , Paolini Guido , Firmani Guido , Panagiotakos Demosthenes , Sorotos Michail 
Published: August 2023

Abstract

Background
Although textured implants represent fewer than 10% of implants used in the United States, the country reports the highest incidence of breast implant–associated anaplastic large cell lymphoma (BIA-ALCL).

Objectives
The aim of this study was to perform a systematic literature review on US-based epidemiology to update knowledge on BIA-ALCL in the United States.

Methods
Publications on US BIA-ALCL epidemiology were searched between September 2022 and March 2023 on MEDLINE (National Institutes of Health; Bethesda, MD), Embase (Elsevier, Amsterdam, the Netherlands), Web of Science (Clarivate, London, UK), and SCOPUS (Elsevier, Amsterdam, the Netherlands). The US numerator was obtained by averaging the FDA MAUDE database and the PSF PROFILE registry, while the denominator was estimated from chest X-rays, and included female transgender individuals. Prevalence and risk were assessed accordingly, but the incidence rate (IR) could not be updated due to the lack of available follow-up data.

Results
Out of 987 identified manuscripts, 10 were included. The US prevalence of BIA-ALCL in the literature ranged from 1:300 to 1:500,000 and the IR from 4.5 per 10,000 to 31.1 per 100 million persons per year. A mean value of 453.5 BIA-ALCL cases was calculated. From a denominator of 4,264,618 individuals, which includes all breast implant surfaces, we calculated 414,521 individuals with textured implants, indicating a textured prevalence of 109.4 cases per 100,000 individuals and a risk of 1:913.

Conclusions
BIA-ALCL IR, prevalence, and risk has increased when calculated exclusively for patients with textured devices. Although US macrotextured implants were recalled by the FDA, these findings may influence the surveillance of existing patients and the use of macrotextured implants in other parts of the world where they remain widespread.

Level of Evidence: 4
ETLD: an encoder-transformation layer-decoder architecture for protein contact and mutation effects prediction
Authors: Wang He , Zang Yongjian , Kang Ying , Zhang Jianwen , Zhang Lei , Zhang Shengli 
Published: August 2023

Abstract
The latent features extracted from the multiple sequence alignments (MSAs) of homologous protein families are useful for identifying residue–residue contacts, predicting mutation effects, shaping protein evolution, etc. Over the past three decades, a growing body of supervised and unsupervised machine learning methods have been applied to this field, yielding fruitful results. Here, we propose a novel self-supervised model, called encoder-transformation layer-decoder (ETLD) architecture, capable of capturing protein sequence latent features directly from MSAs. Compared to the typical autoencoder model, ETLD introduces a transformation layer with the ability to learn inter-site couplings, which can be used to parse out the two-dimensional residue–residue contacts map after a simple mathematical derivation or an additional supervised neural network. ETLD retains the process of encoding and decoding sequences, and the predicted probabilities of amino acids at each site can be further used to construct the mutation landscapes for mutation effects prediction, outperforming advanced models such as GEMME, DeepSequence and EVmutation in general. Overall, ETLD is a highly interpretable unsupervised model with great potential for improvement and can be further combined with supervised methods for more extensive and accurate predictions.
Differential variability analysis of single-cell gene expression data
Authors: Liu Jiayi , Kreimer Anat , Li Wei Vivian 
Published: August 2023

Abstract
The advent of single-cell RNA sequencing (scRNA-seq) technologies has enabled gene expression profiling at the single-cell resolution, thereby enabling the quantification and comparison of transcriptional variability among individual cells. Although alterations in transcriptional variability have been observed in various biological states, statistical methods for quantifying and testing differential variability between groups of cells are still lacking. To identify the best practices in differential variability analysis of single-cell gene expression data, we propose and compare 12 statistical pipelines using different combinations of methods for normalization, feature selection, dimensionality reduction and variability calculation. Using high-quality synthetic scRNA-seq datasets, we benchmarked the proposed pipelines and found that the most powerful and accurate pipeline performs simple library size normalization, retains all genes in analysis and uses denSNE-based distances to cluster medoids as the variability measure. By applying this pipeline to scRNA-seq datasets of COVID-19 and autism patients, we have identified cellular variability changes between patients with different severity status or between patients and healthy controls.
Self-supervised learning with chemistry-aware fragmentation for effective molecular property prediction
Authors: Xie Ailin , Zhang Ziqiao , Guan Jihong , Zhou Shuigeng 
Published: August 2023

Abstract
Molecular property prediction (MPP) is a crucial and fundamental task for AI-aided drug discovery (AIDD). Recent studies have shown great promise of applying self-supervised learning (SSL) to producing molecular representations to cope with the widely-concerned data scarcity problem in AIDD. As some specific substructures of molecules play important roles in determining molecular properties, molecular representations learned by deep learning models are expected to attach more importance to such substructures implicitly or explicitly to achieve better predictive performance. However, few SSL pre-trained models for MPP in the literature have ever focused on such substructures. To challenge this situation, this paper presents a Chemistry-Aware Fragmentation for Effective MPP (CAFE-MPP in short) under the self-supervised contrastive learning framework. First, a novel fragment-based molecular graph (FMG) is designed to represent the topological relationship between chemistry-aware substructures that constitute a molecule. Then, with well-designed hard negative pairs, a is pre-trained on fragment-level by contrastive learning to extract representations for the nodes in FMGs. Finally, a Graphormer model is leveraged to produce molecular representations for MPP based on the embeddings of fragments. Experiments on 11 benchmark datasets show that the proposed CAFE-MPP method achieves state-of-the-art performance on 7 of the 11 datasets and the second-best performance on 3 datasets, compared with six remarkable self-supervised methods. Further investigations also demonstrate that CAFE-MPP can learn to embed molecules into representations implicitly containing the information of fragments highly correlated to molecular properties, and can alleviate the over-smoothing problem of graph neural networks.
BJS 2 Pancreatoduodenectomy for malignancy: which patients are high-risk? Results from an international multicentre cohort study
Authors: Russell Thomas , Labib Peter , Aroori Somaiah ,   RAW Study Collaborators
Published: August 2023

Abstract

Aims
Pancreatoduodenectomy (PD) is indicated in fit patients with a resectable cancer affecting the pancreatic head but morbidity rates remain high. This study aimed to identify risk factors for postoperative complications and perioperative mortality.

Methods
Data were extracted from the Recurrence After Whipple's (RAW) study, a retrospective cohort study of PD patients with confirmed malignancy (29 centres, eight countries). Patients who experienced any complication, clinically relevant postoperative pancreatic fistula (CR-POPF), post-pancreatectomy haemorrhage (PPH) and 90-day mortality were compared to those who did not experience these outcomes.

Results
1348 patients were included. Any complication, major morbidity, CR-POPF, PPH and 90-day mortality affected 53.4%, 16.9%, 10.5%, 6.2% and 3.8% of patients, respectively. Following a multivariable analysis, high body mass index (BMI, OR: 1.1, p=0.007), American Society of Anesthesiologists (ASA) grade &gt;II (OR: 2.2, p&lt;0.0001) and a pylorus-resecting approach (OR: 1.6, p=0.005) correlated with overall morbidity. ASA &gt;II patients were at increased risk of major morbidity (OR: 2.2, p&lt;0.0001) and a raised BMI was a risk factor for CR-POPF (OR: 1.1, p=0.001). ASA &gt;II (OR: 2.5, p=0.002) and positive lymph nodes on preoperative imaging (OR: 2.1, p=0.01) were risk factors for PPH, and both preoperative diabetes (OR: 0.4, p&lt;0.05) and a pancreato-jejunostomy anastomosis (OR: 0.5, p=0.03) were protective. No risk factors for 90-day mortality were identified.

Conclusion
In our study, a high BMI and ASA grade &gt;II were associated with adverse perioperative outcomes. Patients in these groups should be made aware of their increased risk prior to surgery.