bluuebunny/crossref_metadata_2025 huggingface dataset:
Effects of ticagrelor and prasugrel on coronary microcirculation in elective percutaneous coronary intervention
Authors: Mangiacapra Fabio , Colaiori Iginio , Di Gioia Giuseppe , Pellicano Mariano , Heyse Alex , Paolucci Luca , Peace Aaron , Bartunek Jozef , de Bruyne Bernard , Barbato Emanuele
Published: June 2023

Objective

To compare the effects of ticagrelor and prasugrel on absolute coronary blood flow (Q) and microvascular resistance (R) in patients with stable coronary artery disease (CAD) treated with elective percutaneous coronary intervention (PCI) (NCT05643586). Besides being at least as effective as prasugrel in inhibiting platelet aggregation, ticagrelor has been shown to have additional properties potentially affecting coronary microcirculation.

Methods

We randomly assigned 50 patients to ticagrelor (180 mg) or prasugrel (60 mg) at least 12 hours before intervention. Continuous thermodilution was used to measure Q and R before and after PCI. Platelet reactivity was measured before PCI. Troponin I was measured before, 8 and 24 hours after PCI.

Results

At baseline, fractional flow reserve, Q and R were similar in two study groups. Patients in the ticagrelor group showed higher post-PCI Q (242±49 vs 205±53 mL/min, p=0.015) and lower R values (311 (263, 366) vs 362 (319, 382) mm Hg/L/min, p=0.032). Platelet reactivity showed a negative correlation with periprocedural variation of Q values (r=−0.582, p<0.001) and a positive correlation with periprocedural variation of R values (r=0.645, p<0.001). The periprocedural increase in high-sensitivity troponin I was significantly lower in the ticagrelor compared with the prasugrel group (5 (4, 9) ng/mL vs 14 (10, 24) ng/mL, p<0.001).

Conclusions

In patients with stable CAD undergoing PCI, pretreatment with a loading dose of ticagrelor compared with prasugrel improves post-procedural coronary flow and microvascular function and seems to reduce the related myocardial injury.
Nuclear physics midterm plan in Italy: introduction to the series
Authors: Benzoni G. , Bettoni D. , Bossi F. , Colonna M. , Di Leva A. , Fioretto E. , Formicola A. , Fortunato L. , Gammino S. , Gramegna F. , Gustavino C. , Junker M. , La Cognata M. , Lombardo I. , Nania R. , Pisano S. , Previtali E. , Romano S. , Russotto P. , Soramel F. , Valiente-Dobón J. J.
Published: June 2023

In this contribution, the motivations for a Focus Point on the future nuclear physics researches in the Italian laboratories are described. The organization of the preliminary workshops and of the final reports in this series is described.
Thermal neutron measurement in the STU Mini Labyrinth experiment
Authors: Čerba Š. , Vrban B. , Lüley J. , Filová V. , Nečas V.
Published: June 2023

As part of an international cooperation the research team from the Slovak University of Technology is involved in the development of new radiation shielding experimental workplaces for code verification and demonstration of radiation shielding principles. One of these activities is the so called “Mini Labyrinth” experiment. It is a simple neutron and gamma shielding benchmark, inspired by the ALARM-CF-AIR-LAB-001 ICSBEP experiment. The STU Mini Labyrinth, as its name implies, is a mini version of the original IHEP Labyrinth, currently with dimensions of 96 × 60 × 25 cm. The experimental setup is placed on a special deck in the neutron physics laboratory of STU and uses remote source handling mechanism and video surveillance. It consists of several NEUTRONSTOP C5 shielding blocks (polyethylene with 5% boron), several detector positions and two channels to insert the neutron source and to generate thermal neutrons. The first one is a plastic tank filled with liquid moderator and a second one is a solid graphite prism, which is ideal to produce thermal neutrons. In the previous works of the research team, efforts were made to find the best setup for measurement inside and outside the Mini Labyrinth. It was found out that the 25 cm height was not appropriate, therefore it was increased to 50 cm by adding an extra level of NEUTRONSTOP blocks. This paper brings the results of first measurements performed on the V3-50-R measurement geometry and their comparisons with simulations using the Monaco code from the SCALE 6 system. In this measurement setup, the neutron source is placed inside the graphite prism and the aim is to measure and simulate the thermal neutron count-rate.
A numerical study on the superheater tubes bundle of a 660 MW coal-fired supercritical boiler
Authors: Nawaz Muhammad , Hamzaoui Mondher , Bukhari Muhammad Dawood , Mustafa Ghulam , Khan Sami Ullah , Aydi Abdelkarim , Kolsi Lioua
Published: June 2023

Coal-fired thermal power plants are currently converting their technology to supercritical and ultra-supercritical in order to meet the world’s energy demands. An important component in this technology is the superheater of the boiler, which operates at higher temperatures and above the critical pressures. For the design and reliable operation of a superheater tube bundle, thermal and structural analyses are crucial. This study focuses on the superheater tubes bundle of a 660[Formula: see text]MW coal-fired supercritical boiler. The superheater model is simulated to investigate the thermal characteristics such as temperature distribution, total heat flux and directional heat flux and structural parameters such as von Mises stresses, equivalent strains and total deformations. Different materials such as martensitic steel, austenitic steel and nickel–titanium are compared based on thermal and structural analysis. It is claimed that thermal performances of martensitic steel are more impressive as compared to superheater materials. The lower strain appeared for austenitic steel as compared to martensitic steel.
Intelligent Optimization Algorithm for Support Vector Machine: Research and Analysis of Prediction Ability
Authors: Lian Lian
Published: June 2023

Support vector machine is a very classical and popular model for data prediction. Traditional support vector machines use grid search to determine its parameters. In order to improve the accuracy of prediction, more and more frameworks are proposed. Among them, the combination of support vector machine and intelligent optimization algorithm is the most commonly used solution at present. The optimization objective is to determine the optimal penalty factor and kernel parameters of support vector machine to improve the prediction performance. In this paper, 10 intelligent optimization algorithms that are widely used at present are used for the optimization research of support vector machine. The performance of these optimization algorithms in support vector machine parameter optimization is analyzed in detail. Short-term wind speed and network traffic are chosen as the research object, and detailed performance indicators are given to judge the advantages and disadvantages of these intelligent optimization algorithms in optimizing support vector machine performance. Finally, the performance indicators, optimization speed, running memory usage, optimization success rate of different optimized SVM models, and impact of data distribution are analyzed in detail, and some conclusions are drawn. For the parameters optimization of support vector machine, various indicators are comprehensively considered, grey wolf optimizer algorithm and squirrel search algorithm are recommended.
NEW SOLITARY WAVE SOLUTIONS FOR THE FRACTIONAL JAULENT–MIODEK HIERARCHY MODEL
Authors: WEI CHUN FU
Published: June 2023

The main goal of this paper is to study the new solitary wave behaviors of the fractional Jaulent–Miodek hierarchy model (FJMHE) with M-truncated fractional derivative. First, we use the fractional sech-function method (FSFM) to obtain some new solitary wave solutions of the fractional Jaulent–Miodek hierarchy equation. The new method is simple and effective, which provides a more powerful mathematical technique for exploring solitary wave solutions of the fractional evolution equations in mathematical physics. Finally, some 3D and 2D graphs are employed to illustrate the physical properties of the obtained new solitary wave solutions.
Dynamic Response of Lined Tunnel in Inhomogeneous Half Space with Variable Rigidity Under SH Waves
Authors: Yang Zai-Lin , Bian Jin-Lai , Sun Meng-Han , Lan Guo-Guan
Published: June 2023

This work investigates the scattering of antiplane shear waves by tunnel in inhomogeneous half-space. The inhomogeneity of the medium is reflected in that the shear modulus is a two-dimensional function. Based on the complex function method, the analytical expressions of wave fields are obtained. The unknown coefficients can be obtained by boundary conditions. In the numerical example, the displacement amplitude of the horizontal surface and the dynamic response of lining structure are discussed. The results show that the inhomogeneous parameters, the reference wave numbers and the positions have obvious effects on the displacement amplitude and the dynamic response.
Context-aware Big Data Quality Assessment: A Scoping Review
Authors: Fadlallah Hadi , Kilany Rima , Dhayne Houssein , El Haddad Rami , Haque Rafiqul , Taher Yehia , Jaber Ali
Published: June 2023

The term data quality refers to measuring the fitness of data regarding the intended usage. Poor data quality leads to inadequate, inconsistent, and erroneous decisions that could escalate the computational cost, cause a decline in profits, and cause customer churn. Thus, data quality is crucial for researchers and industry practitioners.

Different factors drive the assessment of data quality. Data context is deemed one of the key factors due to the contextual diversity of real-world use cases of various entities such as people and organizations. Data used in a specific context (e.g., an organization policy) may need to be more efficacious for another context. Hence, implementing a data quality assessment solution in different contexts is challenging.

Traditional technologies for data quality assessment reached the pinnacle of maturity. Existing solutions can solve most of the quality issues. The data context in these solutions is defined as validation rules applied within the ETL (extract, transform, load) process, i.e., the data warehousing process. In contrast to traditional data quality management, it is impossible to specify all the data semantics beforehand for big data. We need context-aware data quality rules to detect semantic errors in a massive amount of heterogeneous data generated at high speed. While many researchers tackle the quality issues of big data, they define the data context from a specific standpoint. Although data quality is a longstanding research issue in academia and industries, it remains an open issue, especially with the advent of big data, which has fostered the challenge of data quality assessment more than ever.

This article provides a scoping review to study the existing context-aware data quality assessment solutions, starting with the existing big data quality solutions in general and then covering context-aware solutions. The strength and weaknesses of such solutions are outlined and discussed. The survey showed that none of the existing data quality assessment solutions could guarantee context awareness with the ability to handle big data. Notably, each solution dealt only with a partial view of the context. We compared the existing quality models and solutions to reach a comprehensive view covering the aspects of context awareness when assessing data quality. This led us to a set of recommendations framed in a methodological framework shaping the design and implementation of any context-aware data quality service for big data. Open challenges are then identified and discussed.
Deep Learning–based Dynamic User Alignment in Social Networks
Authors: Matrouk Khaled , V Srikanth , Kumar Sumit , Bhadla Mohit Kumar , Sabirov Mirza , Saadh Mohamed J.
Published: June 2023

Academics and businesses are paying intense attention to social network alignment, which centers various social networks around their shared members. All studies to date treat the social network as static and ignore its innate dynamism. In reality, an individual's discriminative pattern is embedded in the dynamics of social networks, and this information may be used to improve social network alignment. This study finds that these dynamics can reveal more apparent patterns better suited to lining up the social web of things (SWoT). The correlation between the user structure and attributes for each social network must be maintained to combine the binary dynamics and make the original synthetic embedding representation. Finally, the initial embedding of each network is projected to a target subspace as part of the semi-supervised spatial transformation learning process. The Dynamic Social Network Alignment approach outperforms the current mainstream algorithm by 10% in this article's extensive series of trials using real-world datasets. The findings of this study show that this alignment of enormous networks addresses the volume, variety, velocity, and veracity (or 4Vs) of vast networks. To improve the efficacy and resilience of an adversarial network alignment, adversarial learning techniques can be applied. The results show that the model with structure, attribute, and time information performs the best, while the model without attribute information comes in second, the model without time information performs mediocrely, and the model without structure information performs the worst.
A Survey of Quantum-cognitively Inspired Sentiment Analysis Models
Authors: Liu Yaochen , Li Qiuchi , Wang Benyou , Zhang Yazhou , Song Dawei
Published: June 2023

Quantum theory, originally proposed as a physical theory to describe the motions of microscopic particles, has been applied to various non-physics domains involving human cognition and decision-making that are inherently uncertain and exhibit certain non-classical, quantum-like characteristics. Sentiment analysis is a typical example of such domains. In the last few years, by leveraging the modeling power of quantum probability (a non-classical probability stemming from quantum mechanics methodology) and deep neural networks, a range of novel quantum-cognitively inspired models for sentiment analysis have emerged and performed well. This survey presents a timely overview of the latest developments in this fascinating cross-disciplinary area. We first provide a background of quantum probability and quantum cognition at a theoretical level, analyzing their advantages over classical theories in modeling the cognitive aspects of sentiment analysis. Then, recent quantum-cognitively inspired models are introduced and discussed in detail, focusing on how they approach the key challenges of the sentiment analysis task. Finally, we discuss the limitations of the current research and highlight future research directions.
Language-guided Residual Graph Attention Network and Data Augmentation for Visual Grounding
Authors: Wang Jia , Shuai Hong-Han , Li Yung-Hui , Cheng Wen-Huang
Published: June 2023

Visual grounding is an essential task in understanding the semantic relationship between the given text description and the target object in an image. Due to the innate complexity of language and the rich semantic context of the image, it is still a challenging problem to infer the underlying relationship and to perform reasoning between the objects in an image and the given expression. Although existing visual grounding methods have achieved promising progress, cross-modal mapping across different domains for the task is still not well handled, especially when the expressions are complex and long. To address the issue, we propose a language-guided residual graph attention network for visual grounding (LRGAT-VG), which enables us to apply deeper graph convolution layers with the assistance of residual connections between them. This allows us to better handle long and complex expressions than other graph-based methods. Furthermore, we perform a Language-guided Data Augmentation (LGDA), which is based on copy-paste operations on pairs of source and target images to increase the diversity of training data while maintaining the relationship between the objects in the image and the expression. With extensive experiments on three visual grounding benchmarks, including RefCOCO, RefCOCO+, and RefCOCOg, LRGAT-VG with LGDA achieves competitive performance with other state-of-the-art graph network-based referring expression approaches and demonstrates its effectiveness.
Instance-Aware Prompt Learning for Language Understanding and Generation
Authors: Jin Feihu , Lu Jinliang , Zhang Jiajun , Zong Chengqing
Published: June 2023

Prompt learning has emerged as a new paradigm for leveraging pre-trained language models (PLMs) and has shown promising results in downstream tasks with only a slight increase in parameters. However, the current usage of fixed prompts, whether discrete or continuous, assumes that all samples within a task share the same prompt. This assumption may not hold for tasks with diverse samples that require different prompt information. To address this issue, we propose an instance-aware prompt learning method that learns a different prompt for each instance. Specifically, we suppose that each learnable prompt token has a different contribution to different instances, and we learn the contribution by calculating the relevance score between an instance and each prompt token. The contribution-weighted prompt would be instance aware. We apply our method to both unidirectional and bidirectional PLMs on both language understanding and generation tasks. Extensive experiments demonstrate that our method achieves comparable results using as few as 1.5% of the parameters of PLMs tuned and obtains considerable improvements compared with strong baselines. In particular, our method achieves state-of-the-art results using ALBERT-xxlarge-v2 on the SuperGLUE few-shot learning benchmark.

1
Gels in Microscale Electrophoresis
Authors: Holland Lisa A. , Casto-Boggess Laura D.
Published: June 2023

Gel matrices are fundamental to electrophoresis analyses of biopolymers in microscale channels. Both capillary gel and microchannel gel electrophoresis systems have produced fundamental advances in the scientific community. These analytical techniques remain as foundational tools in bioanalytical chemistry and are indispensable in the field of biotherapeutics. This review summarizes the current state of gels in microscale channels and provides a brief description of electrophoretic transport in gels. In addition to the discussion of traditional polymers, several nontraditional gels are introduced. Advances in gel matrices highlighted include selective polymers modified to contain added functionality as well as thermally responsive gels formed through self-assembly. This review discusses cutting-edge applications to challenging areas of discovery in DNA, RNA, protein, and glycan analyses. Finally, emerging techniques that result in multifunctional assays for real-time biochemical processing in capillary and three-dimensional channels are identified.
Tissue Morphogenesis Through Dynamic Cell and Matrix Interactions
Authors: Wu Di , Yamada Kenneth M. , Wang Shaohe
Published: June 2023

Multicellular organisms generate tissues of diverse shapes and functions from cells and extracellular matrices. Their adhesion molecules mediate cell-cell and cell-matrix interactions, which not only play crucial roles in maintaining tissue integrity but also serve as key regulators of tissue morphogenesis. Cells constantly probe their environment to make decisions: They integrate chemical and mechanical information from the environment via diffusible ligand- or adhesion-based signaling to decide whether to release specific signaling molecules or enzymes, to divide or differentiate, to move away or stay, or even whether to live or die. These decisions in turn modify their environment, including the chemical nature and mechanical properties of the extracellular matrix. Tissue morphology is the physical manifestation of the remodeling of cells and matrices by their historical biochemical and biophysical landscapes. We review our understanding of matrix and adhesion molecules in tissue morphogenesis, with an emphasis on key physical interactions that drive morphogenesis.
Controllable Fabrication of Silicon Nanopore Arrays by Two-Step Inductively Coupled Plasma Etching Using Self-Assembled Anodic Aluminum Oxide Mask
Authors: Tian Jili , Meng Xianghua , Liu Yang , Cui Jie , Li Min , Fan Kaiguo , Zhang Qi , Zhang Huayu
Published: June 2023

Silicon nanopore arrays (SiNPs) were prepared by a two-step inductively coupled plasma (ICP) etching process using a self-assembled anodic aluminum oxide film mask. The influence of etching parameters (first-step etching time, Cl2 proportion in the etching gas, etching pressure, ICP power, and radio frequency (RF) power) on the morphology of the SiNPs were systematically investigated. The results revealed that the first step of ICP etching can effectively remove the barrier layer of the mask. Higher Cl2 proportion and lower etching pressure increase the chemical corrosion and physical bombardment of ICP etching, respectively, which may damage the porous morphology. ICP power affects both chemical reaction etching and physical bombardment, but the RF power mainly affects physical etching. The etching rate is positively correlated with Cl2 proportion and RF power, and negatively correlated with etching pressure. The optimized first-step etching time, Cl2/Ar ratio, etching pressure, ICP power and RF power for high-quality SiNPs are approximately 10 s, 60%, 7 mTorr, 900 W and 100 W, respectively. Precise control of the pore size and depth of the SiNPs can be achieved using this controllable growth process. These results demonstrate a simple and controllable way to achieve good quality SiNPs with desired sizes.
Postabsorptive muscle protein synthesis is higher in outpatients as compared to inpatients
Authors: Reidy Paul T. , Borack Michael S. , Dickinson Jared M. , Carroll Chad C. , Burd Nicholas A. , Drummond Micah J. , Fry Christopher S. , Lambert Bradley S. , Gundermann David M. , Glynn Erin L. , Markofski Melissa M. , Timmerman Kyle L. , Moro Tatiana , Volpi Elena , Trappe Scott , Trappe Todd A. , Harber Matthew P. , Rasmussen Blake B.
Published: June 2023

The postabsorptive muscle protein synthesis rate is lower in the morning after an overnight inpatient hospital stay compared with an outpatient visit. Although only a minimal amount of steps was conducted by outpatients (∼900), this was enough to increase postabsorptive muscle protein synthesis rate.
Sugarcane Bagasse Fibers for Enhancing Moisture Susceptibility Properties in Stone Mastic Asphalt
Authors: Thejaswi Poornachandra , Vengala Jagadish , Dharek Manish S. , Manjunatha M. , Poudel Arjun
Published: June 2023

Stone mastic asphalt (SMA) mix amended with sugarcane bagasse fibers (SBFs) as a stabilizer was investigated experimentally in the present study. The SBF content in the combination mix was varied (0, 0.15%, 0.30%, 0.45% and 0.60%) to produce different mixtures. The prepared mixtures were then assessed for different properties, such as the Marshall stability, tensile strength, and draindown, which are crucial for the performance of the mix in flexible/bituminous pavements. The experimental results revealed enhanced stability and flow value, greater filling of voids in the bitumen, and reduced air voids in the prepared SMA mix amended with SBF. In addition, improvement in the tensile strength of the SMA mix amended with SBF was observed. An increase in the tensile strength ratio of the amended SMA mix was also observed. The susceptibility to the entry of moisture into the pores of the SMA mix was assessed by performing the draindown test, which revealed that the amended SMA mix exhibited reduced draindown due to the presence of SBF. Therefore, it was inferred that the inclusion of SBF into the SMA mix was beneficial for enhancing the stability and tensile strength of the mix and achieving higher resistance to moisture penetration. The present study demonstrated that the use of sugarcane bagasse as an active ingredient in the SMA mix would result in improved performance of flexible pavements while also reducing the waste burden of landfills and aiding in effective waste management.
Exponential Decay of Swelling Porous Elastic Soils with Microtemperatures Effects
Authors: Rezaiguia Ali , Zitouni Salah , Nihal Zaidi Hasan
Published: June 2023

In this article, we considered the one-dimensional swelling problem in porous elastic soils with microtemperatures effects in the case of fluid saturation. First, we showed that the system is well-posed in the sens of semigroup. Then, we constructed a suitable Lyapunov functional based on the energy method and we proved that the dissipation given only by the microtemperatures is strong enough to provoke an exponential stability for the solution irrespective of the wave speeds of the system.
Rare Presentation of Disseminated Gout Nodulosis and Chronic Inflammatory Arthritis
Authors: Sami Faria , Sami Shahzad Ahmed , Arora Shilpa
Published: June 2023

Background. Gout is an inflammatory arthritis caused by monosodium urate (MSU) deposition. Acute gout is a dramatic painful swelling of the joint; however, MSU can deposit in other tissues as well, including skin, gastrointestinal tract, and bones over time. Disseminated tophi in the skin are a rare presentation of gout known as gout nodulosis. We present a case of gout nodulosis with subcutaneous diffuse miliary nodules in nonarticular areas with concurrent findings suggestive of chronic inflammatory arthritis. Case Presentation. A 39-year-old patient presented with intermittent painful swelling in multiple joints with prolonged morning stiffness. On exam, synovitis was present in multiple proximal interphalangeal joints, wrists, elbows, and knees. Chronic raised pearly nodular rash and swellings on extensor aspects of arms, legs, and anterior abdomen were noticeable. He had negative rheumatoid factor and anti-CCP antibody, C-reactive protein of 0.23 mg/dL, erythrocyte sedimentation rate of 37 mm/hr, and uric acid of 10.6 mg/dL. Hand X-rays revealed severe periarticular osteopenia and joint space narrowing in several joints. Musculoskeletal ultrasound showed a double contour sign at multiple joints and a tophaceous deposit over the olecranon fossa. The biopsy of the nodular rash was consistent with tophi. He was diagnosed with chronic tophaceous gout with skin nodulosis and possible overlap of seronegative rheumatoid arthritis given his X-ray findings. Conclusion. This case discusses one of the rare presentations of gout with disseminated gouty tophi in the skin to raise clinical awareness. The clinical dilemma of the overlap of gout and rheumatoid arthritis posing a diagnostic challenge for clinicians is also highlighted.
Multibranch Adaptive Fusion Graph Convolutional Network for Traffic Flow Prediction
Authors: Zan Xin , Lam Jasmine Siu Lee
Published: June 2023

Urban road networks have complex spatial and temporal correlations, driving a surge of research interest in spatial-temporal traffic flow prediction. However, prior approaches often overlook the temporal-scale differentiation of spatial-temporal features, limiting their ability to extract complex structural information. In this work, we design the multibranch adaptive fusion graph convolutional network (MBAF-GCN) that explicitly exploits the prior spatial-temporal characteristics at different temporal scales, and each branch is responsible for extracting spatial-temporal features at a specific scale. Besides, we design the spatial-temporal feature fusion (STFF) module to refine the prediction results. Based on the multibranch complementary features, the module adopts a coarse-to-fine fusion strategy, incorporating different spatial-temporal scale features to obtain recalibrated prediction results. Finally, we evaluate the MBAF-GCN using two real-world traffic datasets. Experimentally, the newly designed multibranch can efficaciously utilize the prior information of different temporal scales. Our MBAF-GCN achieved better performance in the comparative model, indicating its potential and validity.
Supplementary Figure 1 from Sleep Behaviors, Genetic Predispositions, and Risk of Esophageal Cancer
Authors: Wang Xiaoyan , Tian Ruiyi , Zong Xiaoyu , Jeon Myung Sik , Luo Jingqin , Colditz Graham A. , Wang Jean S. , Tsilidis Konstantinos K. , Ju Yo-El S. , Govindan Ramaswamy , Puri Varun , Cao Yin
Published: June 2023

Supplementary Figure 1 shows the sample selection process
Figure S1 from Associations between Etiologic or Prognostic Tumor Tissue Markers and Neighborhood Contextual Factors in Male Health Professionals Diagnosed with Prostate Cancer
Authors: Iyer Hari S. , Kensler Kevin H. , Vaselkiv Jane B. , Stopsack Konrad H. , Roscoe Charlotte , Bandera Elisa V. , Qin Bo , Jang Thomas L. , Lotan Tamara L. , James Peter , Hart Jaime E. , Mucci Lorelei A. , Laden Francine , Rebbeck Timothy R.
Published: June 2023

Correlation Between Demographic, Lifestyle, and Neighborhood Factors Assessed at Diagnosis Among US Male Health Professionals with Prostate Cancer (n=1,157)
Table S5 from Field Synopsis of Environmental and Genetic Risk Factors of Sporadic Early-Onset Colorectal Cancer and Advanced Adenoma
Authors: Zhang Rongqi , Boakye Daniel , Yang Nan , Zhou Xuan , Zhou Yajing , Jiang Fangyuan , Yu Lili , Wang Lijuan , Sun Jing , Yuan Shuai , Chen Jie , Hamilton Ashleigh C. , Coleman Helen G. , Larsson Susanna C. , Little Julian , Dunlop Malcolm G. , Giovannucci Edward L. , Theodoratou Evropi , Li Xue
Published: June 2023

Supplementary Table 5 shows the list of genes and variants and their associations with early-onset colorectal cancer.
Table S4 from Field Synopsis of Environmental and Genetic Risk Factors of Sporadic Early-Onset Colorectal Cancer and Advanced Adenoma
Authors: Zhang Rongqi , Boakye Daniel , Yang Nan , Zhou Xuan , Zhou Yajing , Jiang Fangyuan , Yu Lili , Wang Lijuan , Sun Jing , Yuan Shuai , Chen Jie , Hamilton Ashleigh C. , Coleman Helen G. , Larsson Susanna C. , Little Julian , Dunlop Malcolm G. , Giovannucci Edward L. , Theodoratou Evropi , Li Xue
Published: June 2023

Supplementary Table 4 shows the list of environmental risk factors and their associations with early-onset colorectal advanced adenomas (EOCRA).
Table S3 from Field Synopsis of Environmental and Genetic Risk Factors of Sporadic Early-Onset Colorectal Cancer and Advanced Adenoma
Authors: Zhang Rongqi , Boakye Daniel , Yang Nan , Zhou Xuan , Zhou Yajing , Jiang Fangyuan , Yu Lili , Wang Lijuan , Sun Jing , Yuan Shuai , Chen Jie , Hamilton Ashleigh C. , Coleman Helen G. , Larsson Susanna C. , Little Julian , Dunlop Malcolm G. , Giovannucci Edward L. , Theodoratou Evropi , Li Xue
Published: June 2023

Supplementary Table 3 shows the list of environmental risk factors and their associations with early-onset colorectal cancer (EOCRC).
Supplementary Materials and Methods from Field Synopsis of Environmental and Genetic Risk Factors of Sporadic Early-Onset Colorectal Cancer and Advanced Adenoma
Authors: Zhang Rongqi , Boakye Daniel , Yang Nan , Zhou Xuan , Zhou Yajing , Jiang Fangyuan , Yu Lili , Wang Lijuan , Sun Jing , Yuan Shuai , Chen Jie , Hamilton Ashleigh C. , Coleman Helen G. , Larsson Susanna C. , Little Julian , Dunlop Malcolm G. , Giovannucci Edward L. , Theodoratou Evropi , Li Xue
Published: June 2023

Supplementary Materials and Methods shows the literature search strategy, selection criteria, evidence credibility grading criteria, and PRISMA 2020 Checklist.
Figure S1 from Field Synopsis of Environmental and Genetic Risk Factors of Sporadic Early-Onset Colorectal Cancer and Advanced Adenoma
Authors: Zhang Rongqi , Boakye Daniel , Yang Nan , Zhou Xuan , Zhou Yajing , Jiang Fangyuan , Yu Lili , Wang Lijuan , Sun Jing , Yuan Shuai , Chen Jie , Hamilton Ashleigh C. , Coleman Helen G. , Larsson Susanna C. , Little Julian , Dunlop Malcolm G. , Giovannucci Edward L. , Theodoratou Evropi , Li Xue
Published: June 2023

Supplementary Figure 1 shows the graphical abstract
Supplementary Figure 1 from Combination ATR (ceralasertib) and PARP (olaparib) Inhibitor (CAPRI) Trial in Acquired PARP Inhibitor–Resistant Homologous Recombination–Deficient Ovarian Cancer
Authors: Wethington Stephanie L. , Shah Payal D. , Martin Lainie , Tanyi Janos L. , Latif Nawar , Morgan Mark , Torigian Drew A. , Rodriguez Diego , Smith Simon A. , Dean Emma , Domchek Susan M. , Drapkin Ronny , Shih Ie-Ming , Brown Eric J. , Hwang Wei-Ting , Armstrong Deborah K. , Gaillard Stephanie , Giuntoli Robert , Simpkins Fiona
Published: June 2023

Trial schema
Data from Combination ATR (ceralasertib) and PARP (olaparib) Inhibitor (CAPRI) Trial in Acquired PARP Inhibitor–Resistant Homologous Recombination–Deficient Ovarian Cancer
Authors: Wethington Stephanie L. , Shah Payal D. , Martin Lainie , Tanyi Janos L. , Latif Nawar , Morgan Mark , Torigian Drew A. , Rodriguez Diego , Smith Simon A. , Dean Emma , Domchek Susan M. , Drapkin Ronny , Shih Ie-Ming , Brown Eric J. , Hwang Wei-Ting , Armstrong Deborah K. , Gaillard Stephanie , Giuntoli Robert , Simpkins Fiona
Published: June 2023

AbstractPurpose:
Addition of ataxia telangiectasia and Rad3-related kinase inhibitors (ATRi) to PARP inhibitors (PARPi) overcomes PARPi resistance in high-grade serous ovarian cancer (HGSOC) cell and mouse models. We present the results of an investigator-initiated study of combination PARPi (olaparib) and ATRi (ceralasertib) in patients with acquired PARPi-resistant HGSOC.
Patients and Methods:
Eligible patients had recurrent, platinum-sensitive BRCA1/2 mutated or homologous recombination (HR)–deficient (HRD) HGSOC and clinically benefited from PARPi (response by imaging/CA-125 or duration of maintenance therapy; > 12 months first-line or > 6 months ≥ second-line) before progression. No intervening chemotherapy was permitted. Patients received olaparib 300 mg twice daily and ceralasertib 160 mg daily on days 1 to 7 of a 28-day cycle. Primary objectives were safety and objective response rate (ORR).
Results:
Thirteen patients enrolled were evaluable for safety and 12 for efficacy; 62% (n = 8) had germline BRCA1/2 mutations, 23% (n = 3) somatic BRCA1/2 mutations, and 15% (n = 2) tumors with positive HRD assay. Prior PARPi indication was treatment for recurrence (54%, n = 7), second-line maintenance (38%, n = 5) and first-line treatment with carboplatin/paclitaxel (8%, n = 1). There were 6 partial responses yielding an ORR of 50% (95% confidence interval, 0.15–0.72). Median treatment duration was 8 cycles (range 4–23+). Grade (G) 3/4 toxicities were 38% (n = 5); 15% (n = 2) G3 anemia, 23% (n = 3) G3 thrombocytopenia, 8% (n = 1) G4 neutropenia. Four patients required dose reductions. No patient discontinued treatment due to toxicity.
Conclusions:
Combination olaparib and ceralasertib is tolerable and shows activity in HR-deficient platinum-sensitive recurrent HGSOC that benefited and then progressed with PARPi as the penultimate regimen. These data suggest that ceralasertib resensitizes PARPi-resistant HGSOCs to olaparib, warranting further investigation.
B-cell Receptor Pathway Mutations Are Infrequent in Patients with Chronic Lymphocytic Leukemia on Continuous Ibrutinib Therapy
Authors: Woyach Jennifer A. , Ghia Paolo , Byrd John C. , Ahn Inhye E. , Moreno Carol , O'Brien Susan M. , Jones Daniel , Cheung Leo W.K. , Chong Elizabeth , Kwei Kevin , Dean James P. , James Danelle F. , Wiestner Adrian
Published: June 2023

Purpose:

Acquired mutations in Bruton's tyrosine kinase (BTK) or phospholipase C-γ2 (PLCG2) genes are associated with clinical progressive disease (PD) in patients with chronic lymphocytic leukemia (CLL) treated with BTK inhibitors. Data on mutation rates in patients without PD on ibrutinib treatment are limited.

Experimental Design:

We evaluated frequency and time to detection of BTK and PLCG2 mutations in peripheral blood samples from 388 patients with previously untreated (n = 238) or relapsed/refractory (n = 150) CLL across five clinical trials.

Results:

With median follow-up of 35 months (range, 0–72) without PD at last sampling, mutations in BTK (3%), PLCG2 (2%), or both genes (1%) were rare in previously untreated patients. With median follow-up of 35 months (range, 1–70) without PD at last sample, mutations in BTK (30%), PLCG2 (7%), or both genes (5%) were more common in patients with relapsed/refractory CLL. Median time to first detection of BTK C481S mutation was not reached in previously untreated patients and was >5 years in patients with relapsed/refractory CLL. Among patients evaluable at PD, previously untreated patients (n = 12) had lower rates than those with relapsed/refractory disease (n = 45) of BTK (25% vs. 49%) and PLCG2 mutations (8% vs. 13%). Time from first detection of BTK C481S mutation to PD was 11.3 months in 1 previously untreated patient and median 8.5 months (range, 0–35.7) among 23 patients with relapsed/refractory CLL.

Conclusions:

This systematic investigation describes development of mutations over time in patients without PD and informs the potential clinical opportunity to optimize ongoing benefits for such patients.
Supplementary Table 3 from Absence of Either Ripk3 or Mlkl Reduces Incidence of Hepatocellular Carcinoma Independent of Liver Fibrosis
Authors: Mohammed Sabira , Thadathil Nidheesh , Ohene-Marfo Phoebe , Tran Albert L. , Van Der Veldt Michael , Georgescu Constantin , Oh Sangphil , Nicklas Evan H. , Wang Dawei , Haritha Nair Hariprasad , Luo Wenyi , Janknecht Ralf , Miller Benjamin F. , Wren Jonathan D. , Freeman Willard M. , Deepa Sathyaseelan S.
Published: June 2023

List of primers used for quantitative real time PCR
Supplementary Data Legends from Absence of Either Ripk3 or Mlkl Reduces Incidence of Hepatocellular Carcinoma Independent of Liver Fibrosis
Authors: Mohammed Sabira , Thadathil Nidheesh , Ohene-Marfo Phoebe , Tran Albert L. , Van Der Veldt Michael , Georgescu Constantin , Oh Sangphil , Nicklas Evan H. , Wang Dawei , Haritha Nair Hariprasad , Luo Wenyi , Janknecht Ralf , Miller Benjamin F. , Wren Jonathan D. , Freeman Willard M. , Deepa Sathyaseelan S.
Published: June 2023

Supplementary Figures 1 -7 and Supplementary Tables 1 - 3 legends
Fig. S1 from Absence of Either Ripk3 or Mlkl Reduces Incidence of Hepatocellular Carcinoma Independent of Liver Fibrosis
Authors: Mohammed Sabira , Thadathil Nidheesh , Ohene-Marfo Phoebe , Tran Albert L. , Van Der Veldt Michael , Georgescu Constantin , Oh Sangphil , Nicklas Evan H. , Wang Dawei , Haritha Nair Hariprasad , Luo Wenyi , Janknecht Ralf , Miller Benjamin F. , Wren Jonathan D. , Freeman Willard M. , Deepa Sathyaseelan S.
Published: June 2023

Figure S1 shows the experimental plan of the study, IHC staining for Ripk3, Transcript levels of Mlkl and Ripk3, Western blots for Cleaved and Total Caspase 3
Intracranial Bleeding in Deep Brain Stimulation Surgery: A Systematic Review and Meta-Analysis
Authors: Tiefenbach Jakov , Favi Bocca Leonardo , Hogue Olivia , Nero Neil , Baker Kenneth B , Machado Andre G.
Published: June 2023

Background: Deep brain stimulation (DBS) is a neurosurgical treatment used for the treatment of movement disorders. Surgical and perioperative complications, although infrequent, can result in clinically significant neurological impairment. Objectives: In this study, we evaluated the incidence and risk factors of intracranial bleeding in DBS surgery. Method: Medline, EMBASE, and Cochrane were screened in line with PRISMA 2020 guidelines to capture studies reporting on the incidence of hemorrhagic events in DBS. After removing duplicates, the search yielded 1,510 papers. Abstracts were evaluated by two independent reviewers for relevance. A total of 386 abstracts progressed to the full-text screen and were assessed against eligibility criteria. A total of 151 studies met the criteria and were included in the analysis. Any disagreement between the reviewers was resolved by consensus. Relevant data points were extracted and analyzed in OpenMeta [Analyst] software. Results: The incidence of intracranial bleeding was 2.5% (95% CI: 2.2–2.8%) per each patient and 1.4% (95% CI: 1.2–1.6%) per each implanted lead. There was no statistically significant difference across implantation targets and clinical indications. Patients who developed an intracranial bleed were on average 5 years older (95% CI: 1.26–13.19), but no difference was observed between the genders (p = 0.891). A nonsignificant trend was observed for a higher risk of bleeding in patients with hypertension (OR: 2.99, 95% CI: 0.97–9.19) (p = 0.056). The use of microelectrode recording did not affect the rate of bleeding (p = 0.79). Conclusions: In this review, we find that the rate of bleeding per each implanted lead was 1.4% and that older patients had a higher risk of hemorrhage.
Pushing the Limits of Breast-Conserving Surgery with Extreme Oncoplasty
Authors: Kilic Berkay , Bademler Suleyman , Ilhan Burak , Yildirim Ilknur , Kucucuk Seden , Bayram Aysel , Karanlik Hasan
Published: June 2023

Introduction: We aimed to report the long-term surgical outcomes of extreme oncoplasty techniques in selected patients with unifocal (UF)/cT3 or multifocal-multicentric tumors (MFMC). Material and Methods: Patients who were initially recommended to have mastectomy underwent extreme oncoplastic breast-conserving surgery (eOBCS) including therapeutic reduction mammoplasty, racquet, and round-block mammoplasty, Grisotti flap, or combined technique were included. Preoperative tumor parameters, clinical outcomes, rate of local recurrence, survival, and patients’ satisfaction were assessed. Results: Eighty-six patients with a median age of 51 years were followed for a median follow-up of 75 (8–154) months; 31 (36%) had cT3 and 55 (64%) had MFMC tumors. The majority of patients (83.6%) had invasive cancer. The median UF tumor size was 58 mm (range 51–100) on imaging and 51 mm (range 50–60) on final pathology. The median tumor span for MFMC was 65 mm (range 53–95) on imaging, whereas the median of the largest tumor size was 30 mm (range 22–60) on final pathology. Seventy-one patients (82.5%) were ER-positive, 17 (19.7%) were HER2 positive, and 8 (9.3%) were triple-negative breast cancer. Four patients (4.7%) required further intervention for having positive margins (3 re-excisions, 1 completion mastectomy). Three local recurrences (3.4%) and 10 (11.6%) distant metastasis occurred. The cosmetic outcome was excellent in 37 (43%) patients. No major complications were observed. Conclusions: eOBCS can be a good option for patients who initially require mastectomy. Appropriate patient selection, a multidisciplinary approach, and patient consent are essential steps of the procedure.
Hepatic Fat and Macrophages Are Increased in Livers of Diabetic Patients without Non-Alcoholic Fatty Liver Disease
Authors: Korn Amber , Nadeem Cacharel , Bos Emma N. , Niessen Hans W.M. , Simsek Suat , Krijnen Paul A.J.
Published: June 2023

Introduction: Diabetes mellitus (DM), especially type 2, is strongly associated with non-alcoholic fatty liver disease (NAFLD). Recent studies indicate that particularly in DM patients, “simple” liver steatosis can progress into more severe disease. However, little is known about putative hepatic histopathological changes in DM patients without NAFLD. In this study, we therefore analysed fat content and inflammatory cell infiltration in the livers of deceased DM and non-DM patients without NAFLD, and analysed age/sex effects hereon. Methods: Hepatic fat and inflammatory cells were studied through (immuno)histochemical analysis in liver tissue from 24 DM patients and 66 non-diabetic controls, without histopathological characteristics of NAFLD. Results: We observed a 2-fold increase in fat percentage/mm2 and a near 5-fold increase in the number of fat-containing cells/mm2 in DM patients compared to non-diabetic controls. Fat content was significantly higher in patients with type 2 DM, but not type 1 DM, compared to non-diabetic controls, while the number of CD68+ cells/mm2 was significantly elevated in both DM groups. Conclusion: Hepatic fat and number of macrophages are increased in patients with DM without NAFLD, which may reflect a higher risk on development of steatosis and steatohepatitis.
Lipoblastomatosis Extended into the Lumbar Spinal Canal in a Child: A Case Report
Authors: Saga Marina , Yamaura Akira , Miyagawa Tadashi
Published: June 2023

Introduction: Lipoblastoma and lipoblastomatosis are rare benign mesenchymal adipose tumors that originate from embryonic white adipocytes and occur most commonly in infancy and early childhood. Lipoblastomas occur in the extremities and trunk, including the retroperitoneum and peritoneal cavity. Therefore, infiltration into the spinal canal has rarely been reported. Case Presentation: A 4-year-old girl presented to our clinic because of difficulty sitting on the floor with her legs straight. She also complained of enuresis and constipation for the past 6 months with persistent headaches and back pain evoked by body anteflexion. A magnetic resonance imaging revealed a massive lesion of the psoas major muscle, retroperitoneal, and subcutaneous spaces, extending into the spinal epidural space between L2 and S1. The patient underwent surgery which resulted in gross total removal of the tumor from the spinal canal. The mass was yellowish, soft, lobulated, fatty, and easily removed from the surrounding structures. Pathology confirmed the diagnosis of lipoblastoma. The postoperative course was uneventful, and the patient was discharged without any signs of neurological deficit. Conclusion: We herein discuss a rare case of lipoblastoma extending into the spinal canal, resulting in neurological symptoms. Although this tumor is benign with no potential for metastasis, it is prone to local recurrence. Therefore, close postoperative observation should be performed.
Influence of Paraspinal Growth-Friendly Spinal Implants in Children with Spinal Muscular Atrophy on Parasol Deformity, Rib-Vertebral Angles, Thoracic, and Lung Volumes
Authors: Austein Julia , Austein Friederike , Lüders Katja A. , Braunschweig Lena , Tsaknakis Konstantinos , Lorenz Heiko M. , Hell Anna K.
Published: June 2023

Introduction: Children with spinal muscular atrophy (SMA) and progressive neuromuscular scoliosis often require early growth-friendly spinal implant (GFSI) treatment for deformity correction with implant fixation either through pedicle screws or bilateral to the spine using ribto pelvis fixation. It has been proposed that the latter fixation may change the collapsing parasol deformity via changes in the rib-vertebral angle (RVA) with a positive effect on thoracic and lung volume. The purpose of this study was to analyze the effect of paraspinal GFSI with bilateral rib-to-pelvis fixation on the parasol deformity, RVA, thoracic, and lung volumes. Methods: SMA children with (n = 19) and without (n = 18) GFSI treatment were included. Last follow-up was before definite spinal fusion at puberty. Scoliosis and kyphosis angles, parasol deformity, and index, as well as convex and concave RVA, were measured on radiographs, whereas computed tomography images were used to reconstruct thoracic and lung volumes. Results: In all SMA children (n = 37; with or without GFSI), convex RVA was smaller than concave values at all times. GFSI did not crucially influence the RVA over the 4.6-year follow-up period. Comparing age- and disease-matched adolescents with and without prior GFSI, no effect of GFSI treatment could be detected on either RVA, thoracic, or lung volumes. Parasol deformity progressed over time despite GFSI. Conclusion: Despite different expectations, implantation of GFSI with bilateral rib-to-pelvis fixation did not positively influence parasol deformity, RVA and/or thoracic, and lung volumes in SMA children with spinal deformity directly and over time.