bluuebunny/crossref_metadata_2025 huggingface dataset:
Feet-heating and calf-heating have opposing effects on glucose tolerance and heart rate variability: a randomized, controlled, crossover trial
Authors: Sanchez Gabriele , Prince Dena , Glasser Shelby , Buono Michael , Kressler Jochen , Moore Jeff M.
Published: October 2024

Heat exposure’s effect on glucose tolerance depends on the amount of body exposed, likely relating to autonomic nervous system balance. We assessed how partial-body heat exposure at two different levels of the lower extremities affects glucose tolerance and autonomic nervous system balance, measured via heart rate variability. We hypothesized feet-heating would improve glucose tolerance without affecting heart rate variability, while calf-heating would worsen glucose tolerance and decrease heart rate variability compared to a thermoneutral control condition. In a randomized, controlled, crossover trial, healthy participants’ ( N = 31, 23(3) years, 45% male) glucose tolerance was measured in (A) thermoneutral; (B) feet-heating; and (C) calf-heating conditions. Every 30 min for 2 h, blood glucose, heart rate, heart rate variability, tympanic temperature, thermal comfort scores, and blood pressure were measured. There were significant interactions between condition and time for blood glucose ( F (4.6,72.6) = 2.6, p = 0.036), heart rate ( F (3.4, 54.5) = 3.5, p = 0.017), heart rate variability ( F (4.3,63.2) = 7.5, p < .0001), tympanic temperature ( F (8, 268) = 2.4, p = 0.014), and thermal comfort scores ( F (8, 248) = 22.1, p < 0.0001). Calf-heating increased 90 min glucose (+12 (95% confidence interval, CI: 3–21) mg/dL, p = 0.013) and decreased heart rate variability throughout (mean decrease: 13%–22%, p < 0.007), while feet-heating lowered 90 min glucose (−7 (95% CI: −16 to +1) mg/dL, p = 0.090) without affecting heart rate variability ( p = 0.14–0.99). Blood pressure and body temperature were similar between conditions, but heart rate and thermal comfort scores increased with heating. Calf-heating worsens, while feet-heating may improve, glucose tolerance. Changes in heart rate variability coincided with changes in glucose tolerance despite unchanged body temperature. Whether heart rate variability can be used to monitor autonomic nervous system balance during heating to optimize its acute effect on glycemic indices should be further explored.
Algorithms for graph theory matching problems based on computer science
Authors: Jin Jingjing
Published: October 2024

Existing graph-matching algorithms only use the graph’s edges to transmit information and cannot perform hierarchical reasoning and fusion. Although they have achieved good results in graph matching, problems exist such as planarization and insufficient representation of graph data. This paper aims to study graph theory matching algorithms based on computer science, solve matching problems on large-scale graphs, reduce computation time, and improve solving efficiency. This paper studied graph theory matching algorithms based on computer science, including heuristic algorithm-based matching algorithms and machine learning-based matching algorithms; the specific matching problem was mathematically analyzed and transformed into a matching problem in graph theory, which included defining the input and output of the problem, determining the structure and properties of nodes and edges in the graph, and clarifying the required matching and constraint conditions. The experimental results of this paper showed that the average optimal matching rates of the Kuhn–Munkres algorithm, Gale–Shapley (GS)-based algorithm, Genetic Algorithm (GA), Particle Swarm Optimization (PSO) algorithm and Support Vector Machine (SVM) algorithm in complex scenarios were 62.05%, 58.42%, 82.79%, 81.99% and 83.50%, respectively. Studying graph theory matching algorithms based on computer science is of great significance. It can not only solve practical application problems and improve computational efficiency, but also promote algorithm optimization, which helps to improve the processing speed and efficiency of practical problems.
Evaluation of coiling endovascular technique on treatment of middle cerebral artery cerebral aneurysms in different blood hematocrits: A numerical study
Authors: Dian Wankang , Zhang Wenkai , Fu Shouzhi , Yang Luyu , Li Jiaying , Khalil Ibrahim Soud , Al-Hussainy Ali Fawzi
Published: October 2024

Intracranial aneurysms are localized dilatations of the cerebral arteries that carry a risk of rupture and subsequent subarachnoid hemorrhage, a life-threatening condition. Middle cerebral artery (MCA) aneurysms are a common type of intracranial aneurysm, and endovascular treatment using coils or flow diverters is a common intervention approach. Understanding the hemodynamics, or blood flow patterns, within MCA aneurysms and how they are affected by endovascular treatment is crucial for improving patient outcomes. This numerical study investigates the hemodynamics of blood flow within MCA aneurysms before and after endovascular treatment. Patient-specific geometric models of MCA aneurysms were reconstructed from medical imaging data. Simulations using computational fluid dynamics were conducted to examine flow characteristics, wall shear stress, and additional hemodynamic factors within the aneurysms. The study assessed and contrasted the impact of coil embolization and flow diverter placement on the hemodynamics inside the aneurysms. The findings offer a deeper understanding of the intricate flow dynamics within MCA aneurysms and illustrate the ways in which endovascular treatments can modify these dynamics.
DOES GREEN FINANCE POLICY IMPROVE THE QUALITY OF ENTERPRISES’ GREEN INNOVATION? EVIDENCE FROM CHINA
Authors: ZHANG WENQI , ZHANG ZHENHUA , CHENG BOWEN , CAO YUPING , WANG ZUOGONG
Published: October 2024

The impact of booming China’s green finance on the quality of enterprises’ green innovation is still unexplored. Taking the 2017 pilot zones for green finance reform and innovation (PZGFRI) as a quasi-natural experiment, a triple difference model (DDD) is applied to examine the effect of green finance policy on heavy-polluting enterprises’ green innovation quality. Our empirical analysis indicates that PZGFRI plays a negative role in the quality of heavy-polluting enterprises’ green innovation, and the results remain robust when subjected to various robustness tests. Further examination of the mechanism reveals that the breeding of rent-seeking behavior and the crowding-out effect of research and development (R&D) are transmission channels for the inhibiting effect of PZGFRI on heavy-polluting enterprises’ green innovation quality. Finally, the heterogeneity analysis indicates that the negative effect of PZGFRI on heavy-polluting enterprises’ green innovation quality is more pronounced for private enterprises than for state-owned enterprises, and for green invention patents relative to utility models. This study sheds light on the promotion path of China’s green finance policy and enriches the research on green finance and green innovation.
On the possibility of experimental revelations of Unruh and Sokolov–Ternov effects
Authors: Akhmedov Emil T. , Gubarev Kirill
Published: October 2024

In this paper, we propose generalizations of the Sokolov–Ternov and Unruh effects, and discuss the possibility to measure them on different experiments.
Deep Learning-Based Student Engagement Classification in Online Learning
Authors: Mandia Sandeep , Singh Kuldeep , Mitharwal Rajendra
Published: October 2024

Online education has gained significant popularity during the COVID-19 pandemic. The availability of massive open online courses has further strengthened the online learning environment. One of the considerable challenges in online learning environments is to measure the learner’s engagement to meet the educational objectives. This paper addresses the challenge and proposes a convolutional neural network-based architecture that extracts discriminative features from the face (Affective) and the upper body (Behavioral) of the learner and classifies the engagement. The performance of the proposed architecture is evaluated on the publicly available Dataset of Affective States In E-Environments (DAiSEE) and the learning-centered affective state dataset curated from open-source datasets. The experimental results demonstrate that the proposed methodology with affective and behavioral features improves the engagement measurement results. The proposed method outperforms the state-of-the-art in terms of Unweighted Average Recall (UAR), Unweighted Average Precision (UAP), and Unweighted Average F1 (UAF1) with 79.14%, 49.62%, and 55.29% values, respectively. It is threefold more computationally efficient than the previous state-of-the-art method. The proposed method also improves the accuracy of the curated dataset by 2.07% of the prior method.
A Deep Learning Algorithm for KOL Segmentation on Social Media Videos
Authors: Yang Cheng , Zheng Fucheng , Al-Hamid Duaa Zuhair , Chong Peter Han Joo , Lam Patrick
Published: October 2024

Nowadays, there is high commercial demand for product replacement which places the products virtually in Key Opinion Leader’s (KOL’s) social media videos. However, one of the challenges of placing the products virtually is the KOL segmentation. Since KOLs often hold products in front of them, it requires the segmentation to segment not only humans but also different products. This paper introduces the state-of-the-art deep learning method, namely RSUDISNet, for KOL segmentation. The proposed technique integrates two deep Convolutional Neural Network (CNN) technologies. One is the Matting Objective Decomposition Network (MODNet), which segments KOLs well but not the products blocking the KOLs. The other one is the two-level nested U-structure network (U2Net) based on the salient object detection method to segment the objects well, but not the KOL. The key technique of the proposed research is to employ the feature of the U2Net to embed the MODNet to overcome the problem of KOL segmentation. Since both MODNet and U2Net are lightweights, the combined network can be used for real-time scenarios. After that, the Intermediate Supervision (IS) training strategy is utilized to overcome the overfitting. The experimental results show that our proposed method outperforms the MODNet and U2Net.
CNN Pruning with Multi-Stage Feature Decorrelation
Authors: Zhu Qiuyu , Liu Chengfei
Published: October 2024

This paper proposes a channel pruning method based on multi-stage feature de-correlation to obtain a more efficient convolutional neural network (CNN) model. Based on the correlation of hidden features at each level of the network, we refine more efficient features of each convolutional layer by applying feature de-correlation constraints (MFD Loss) to each convolutional layer of the network and then prune channels according to the modulus of the feature maps output from each layer. After several rounds of pruning and fine-tuning, a network with similar accuracy, a substantially smaller network size, and more efficient operation is generated compared to the original model. Our experiments on pruning various popular CNN models on many standard datasets demonstrate the method’s effectiveness. Specifically, for VGG-16 on CIFAR10, our approach eliminates parameters by 97.0%, saves Float-Point-Operations (FLOPs) by 66.9%, with a 0.4% accuracy gain and state-of-art performance. For ResNet-50 on the ImageNet dataset, our method eliminates parameters by 30.0%, and saves FLOPs by 52%, with 1.4% accuracy loss, which also proves the effectiveness of the method. The code for the paper can be found at https://github.com/lovelyemperor/MFD .
A type DA structure in Khovanov homology
Authors: Duong Nguyen D. , Roberts Lawrence P.
Published: October 2024

We use the methods of Khovanov homology to associate a type DA structure, as defined by Lipshitz, Ozsváth and Thurston, to any even tangle diagram in a compact planar surface with boundary, with certain combinatorial data on the boundary. The homotopy type of this DA structure is an invariant of the tangle represented by the diagram. We consider the compositional properties of these DA structures when gluing boundaries in a manner similar to that in the study of planar algebras, and relate these structures to the authors previous work on tangles in discs and to the computation of Khovanov homology.
Intuitionistic Fuzzy Approach for Reliability Assessment of NSP System Under Constant Failure Rates
Authors: Malik S. , Malik S. C. , Deswal Savita
Published: October 2024

Here, the reliability of a non-series-parallel system is assessed by using path tracing and the ([Formula: see text],[Formula: see text]-cut approach within a fuzzy environment. Typically, fuzzy sets are utilized for analyzing system reliability. Besides, this paper extends the conventional approach by incorporating the concept of intuitionistic fuzzy theory, which delineates both positive and negative evidence for the membership of an element within the set. The ultimate aim is to develop a unified function for fuzzy reliability measures of the system, treating the parameters of each component as intuitionistic fuzzy elements. We assume constant triangular intuitionistic fuzzy numbers for the failure rates of the components. Subsequently, we derive expressions for system reliability and mean time to system failure (MTSF) incorporating both membership and non-membership degrees, considering both identical and non-identical components. Intuitionistic fuzzy reliability and MTSF of a resistor–inductor–capacitor (RLC) system have also been evaluated using this methodology to authenticate the research findings. The results obtained are visually depicted to enhance comprehension.
Connections between Baer annihilator conditions and extending conditions for nearrings and rings
Authors: Birkenmeier Gary F. , Kilic Nayil , Mutlu Figen Takil , Tastan Edanur , Tercan Adnan , Yasar Ramazan
Published: October 2024

In this paper, we define several versions of the left extending condition for nearrings and rings not necessarily having a unity. We investigate the interconnections between the extending conditions and the Baer annihilating conditions in a right nearring. Our results culminate in a nearring version of the Chatters–Khuri theorem for rings. Examples are provided illustrating and delimiting our results.
Cosymplectic Jacobi–Jordan algebras
Authors: El Bourkadi Said , Wadia Mansouri Mohammed
Published: October 2024

We introduce the notion of cosymplectic structure on Jacobi–Jordan algebras, and we state that they are related to symplectic Jacobi–Jordan algebras. We show in particular, that they support a right-skew-symmetric product. We also study the double extension constructions of cosymplectic Jacobi–Jordan algebras and give a complete classification in dimension five.
Distinguishing and Further Reinforcement for Nanocrystal XRD Peaks Caused by Instrument Broadening in Nanomixed Materials
Authors: Wang Chunjian , Xu Jiakun , Li Jingmin , He Chen
Published: October 2024

X-ray diffraction (XRD) is one of the most essential techniques for characterizing various crystals. However, when nanocrystals are present, the diffraction peaks become significantly broadened and reduced in intensity, making phase and microstructure analysis challenging. To obtain more refined microstructural information from nanocrystals, various methods have been developed to enhance diffraction peaks, with step scanning being a commonly used approach. Additionally, increasing instrument broadening (IB) by adjusting slit sizes to enlarge the irradiation area is a convenient yet often overlooked method. In this study, the effects of IB on the diffraction peak intensities of nanocrystals and micron crystals in mixed materials were thoroughly investigated. The results show that the intensities of both nanocrystals and micron crystals increase as IB increases, a behavior similar to that observed when extending the testing time during step scanning. However, the rate of increase in peak heights for nanocrystals is higher than for micron crystals, while the rate of increase in peak width for nanocrystals is lower, which is a significant departure from the effects seen in step scanning. In other words, nanocrystal peaks become sharper and more distinct as IB increases. This phenomenon is explained by the different components of peak width for nanocrystals and micron crystals, based on Lorentz mathematical model analysis. Based on these findings, it is recommended to utilize larger IBs in combination with step scanning to further reinforce nanocrystal peaks in mixed materials.
On G-majorization of vectors
Authors: Mohammadhasani Ahmad , Sayyari Yamin , Dehghanian Mehdi
Published: October 2024

A real matrix [Formula: see text] is row generalized stochastic if the sum of absolute value of entries in each row is less than or equal to one and there is a fixed [Formula: see text] such that the sum of all entries in each row is [Formula: see text]. For vectors [Formula: see text] (respectively, [Formula: see text]), it is said that [Formula: see text] is right (respectively, left) generalized matrix majorized by [Formula: see text] (denoted by [Formula: see text] (respectively, [Formula: see text])) if [Formula: see text] (respectively, [Formula: see text]) for some [Formula: see text]-by-[Formula: see text] row generalized stochastic matrix [Formula: see text]. In this paper, we have found all vectors such as [Formula: see text] that are right-majorized by [Formula: see text] and we have found all vectors such as [Formula: see text] that are left-majorized by [Formula: see text] and we describe all equivalence classes [Formula: see text] and [Formula: see text].
Improvement of LiFePO4 electrochemical performance by organic zinc source doping in combination with crystalline carbon layer capping
Authors: Li Bowen , Pan Chengyu , Yin HaoYan , Gao Yanmin
Published: October 2024

In this paper, [Formula: see text] cathode materials are prepared by hydrothermal method and co-modified using the synergistic effect of doping and capping. We investigate the effects of [Formula: see text] doping and DPHP capping layer on the crystalline, microstructure, and electrochemical properties of LFP cathode materials, and the results indicate that the discharge capacity of the co-modified cathode material with 5% [Formula: see text] doped and 7% DPHP capping layer is 162.1 mAh ⋅ [Formula: see text], and the rate of capacity retention is still as high as 98.5% after 200 times of discharging and charging.
Japan’s Security Cooperation with ASEAN
Authors: SHOJI Tomotaka
Published: October 2024

Since the 2010s, Japan has vigorously promoted security cooperation with countries from the Association of Southeast Asian Nations (ASEAN), expanding its breadth and depth. Tokyo has adapted to an evolving security environment by establishing a comprehensive and concentric framework for cooperation involving bilateral and multilateral channels. Japan’s burgeoning bilateral cooperation on defence equipment and technology and minilateral arrangements with the Philippines reflect its efforts to bolster regional stability and uphold shared interests in the Indo-Pacific region.
Neutrality, Leverage, and Timing: China’s Middle East Peace Diplomacy in Perspective
Authors: Zhou Yiqi
Published: October 2024

Beijing’s recent peace initiatives in the Middle East have drawn growing scrutiny and generated heated debate over its role in the Global South. Learning from the West’s hitherto mixed record in the regional peace process, China attempts to improve the effectiveness of regional peace diplomacy by focusing on three important ingredients, namely, neutrality, leverage, and timing. While Beijing’s neutrality stems from the long-held principle of inviolability of sovereignty and territorial integrity, its leverage draws from extensive and robust economic ties with regional stakeholders. Moreover, Beijing offers its good offices at a time when both the Iranians and Saudis have become conflict-weary, believing that continued tensions go against their own interests. Recent breakthroughs in peace diplomacy may raise local actors’ expectations to such levels that Beijing may find difficult to meet because China still defines its role as one of a facilitator, not a security guarantor.
MACROECONOMIC POLICY DETERMINANTS OF ECONOMIC GROWTH IN ETHIOPIA
Authors: TAKELE GEBEYE HAILE , DEMISSIE WONDAFERAHU MULUGETA
Published: October 2024

The influence of various macroeconomic policy instruments on economic growth has received growing attention. This study aimed to investigate the macroeconomic factors affecting economic growth in Ethiopia using multivariate time series models, specifically VAR and vector error correction model (VECM). Data were obtained from the World Bank’s World Development Indicators. The results indicated that the existing macroeconomic policy instruments are not effectively promoting economic growth in the country. The analysis showed that while trade openness (OPN) and the interest rate (IR) as a proxy for domestic savings have a positive and significant impact on short-term growth, long-term growth is primarily influenced by exchange rates and foreign currency money supply (Ms). Policymakers should focus on enhancing OPN and increasing domestic savings for immediate economic benefits. In the long run, it is essential to manage exchange rates and foreign currency Ms, as these factors are vital for sustaining economic growth in Ethiopia over the short and long term.
Optimal Design of a Hazardous Materials Transportation Network considering Uncertainty in Accident Consequences
Authors: Jia Hongfei , Li Junzhe
Published: October 2024

Hazardous materials pose significant dangers during transportation due to their flammable and explosive properties. The consequences of accidents involving such materials are often severe and irreparable. A well‐designed hazardous materials transportation network can mitigate these risks. However, designing such a network presents two major challenges: quantifying the risk associated with hazardous materials transportation and addressing the hierarchical relationship between government and companies. To address these challenges, we enhance the accuracy of accident probability estimates and the comprehensiveness of accident consequence assessments, incorporating the uncertainty of accident outcomes. We propose a comprehensive risk assessment model and develop a bilevel programming model to reflect the hierarchical relationship. In this model, the government at the upper level aims to minimize the total risk, while companies at the lower level seek to minimize their total costs. The model is transformed using chance‐constrained programming and solved using heuristic algorithms. We apply the model to the highway network in Anhui province, China, to verify its validity. The results demonstrate that the model effectively manages the hierarchical relationship between government and companies, reduces the risk of hazardous materials transportation, and enhances the stability and safety of the transportation network.
The Bioprotective Effects of Marigold Tea Polyphenols on Obesity and Oxidative Stress Biomarkers in High‐Fat‐Sugar Diet‐Fed Rats
Authors: Alsuwayt Bader , Iftikhar Neelam , Hussain Abdullah Ijaz , Ahmad Ashfaq , Zafar Irsa , Khanam Arifa , Tan Wen-Nee , Nahar Lutfun , Almuqati Afaf F. , Haji Esraa Mohammad , Almutairy Ali F. , Sarker Satyajit D.
Published: October 2024

Background: The research is aimed at exploring the potential of marigold petal tea (MPT), rich in polyphenol contents, against oxidative stress and obesity in a rat model following a high‐fat‐sugar diet (HFSD).

Methods: The MPT was prepared through the customary method of decoction and was subjected to analysis for its polyphenol composition using reversed‐phase high‐performance liquid chromatography (RP‐HPLC). Two specific doses of MPT, namely, 250 and 500 mg/kg body weight (BW), were chosen for the study—referred to as MPT‐250 and MPT‐500, respectively.

Result: The main phenolic acids and flavonoids identified in MPT, with concentrations exceeding 10 mg/100 mL of tea, included catechin, rutin, salicylic acid, gallic acid, sinapic acid, chlorogenic acid, cinnamic acid, and ellagic acid. The total phenolic (TP) and total flavonoid (TF) contents in MPT were measured to be 5.53 and 7.73 mg/g, respectively. Additionally, MPT demonstrated a 57.2% scavenging capacity with 2,2‐diphenyl‐1‐picrylhydrazyl radical. Notably, the administration of a higher dose (MPT‐500) showed a significant reduction in body mass index (BMI) and a 51.24% reduction in the rate of increase in BW compared to the HFSD group. The findings indicated that all the treatment groups, that is, orlistat treatment (OT), MPT‐250, and MPT‐500 groups, experienced reduced levels of serum total cholesterol (TC), triglyceride (TG), and markers of lipoproteins in contrast to the HFSD group. Moreover, MPT helped restore the levels of malondialdehyde (MDA), superoxide dismutase (SOD), and reduced glutathione (GSH), thereby demonstrating its potential in combating oxidative stress. The MPT‐500 group also displayed decreased liver and kidney weights and an improved atherogenic index when compared to the HFSD group.

Conclusion: The results clearly indicate that a high dosage of MPT showed antiobesity activity which was comparable to the same effects produced by the conventional drug orlistat.
A New Family of Optimal Fourth‐Order Iterative Methods for Solving Nonlinear Equations With Applications
Authors: Zein Ali
Published: October 2024

A new family of fourth‐order iterative methods for solving nonlinear equations is proposed using the weight function procedure. This family is optimal in the sense of the Kung–Traub conjecture, as it requires three function evaluations per iteration. Due to its flexible structure, the new family offers a variety of options, demonstrating that it includes several well‐known and recent methods as special cases. In particular, three new specific methods are designed to achieve better results compared to existing methods within the same family. Various nonlinear functions and engineering problems are used to illustrate the performance of these new specific methods, comparing them with existing ones. Furthermore, the analysis of complex dynamics and basins of attraction shows that the newly proposed methods yield the best results, with wider sets of initial points that lead to convergence.
Supplementary Tables from Clonal Lineage Tracing with Somatic Delivery of Recordable Barcodes Reveals Migration Histories of Metastatic Prostate Cancer
Authors: Serio Ryan N. , Scheben Armin , Lu Billy , Gargiulo Domenic V. , Patruno Lucrezia , Buckholtz Caroline L. , Chaffee Ryan J. , Jibilian Megan C. , Persaud Steven G. , Staklinski Stephen J. , Hassett Rebecca , Brault Lise M. , Ramazzotti Daniele , Barbieri Christopher E. , Siepel Adam C. , Nowak Dawid G.
Published: October 2024

Supplementary Table S1. Bootstrap-based 95% confidence bounds for MMUS1469 migration counts and seeding topologies for all clonal populations (CPs). Supplementary Table S2. Bootstrap-based 95% confidence bounds for MMUS1495 migration counts and seeding topologies for all clonal populations (CPs).
Supplementary Figures S6-S13 from Clonal Lineage Tracing with Somatic Delivery of Recordable Barcodes Reveals Migration Histories of Metastatic Prostate Cancer
Authors: Serio Ryan N. , Scheben Armin , Lu Billy , Gargiulo Domenic V. , Patruno Lucrezia , Buckholtz Caroline L. , Chaffee Ryan J. , Jibilian Megan C. , Persaud Steven G. , Staklinski Stephen J. , Hassett Rebecca , Brault Lise M. , Ramazzotti Daniele , Barbieri Christopher E. , Siepel Adam C. , Nowak Dawid G.
Published: October 2024

Supplementary Figure S6. Barcode design and analysis. Supplementary Figure S7. Analysis and simulation barcode data to evaluate EvoTraceR performance. Supplementary Figure S8. Pipeline for detecting and calling edits in barcode. Supplementary Figure S9. Temporal accumulation of barcode edits in vivo. Supplementary Figure S10. Eco-statistical analysis of MMUS1495. Supplementary Figure S11. Metastatic trajectories for EvoCaP mouse cohorts. Supplementary Figure S12. Organ diversity between EvoCaP mice. Supplementary Figure S13. Expansion of EvoCaP platform in vitro.
Supplementary Figure S2 from Iron-(Fe3+)-Dependent Reactivation of Telomerase Drives Colorectal Cancers
Authors: Shanmugam Raghuvaran , Majee Prativa , Shi Wei , Ozturk Mert B. , Vaiyapuri Thamil S. , Idzham Khaireen , Raju Anandhkumar , Shin Seung H. , Fidan Kerem , Low Joo-Leng , Chua Joelle Y.H. , Kong Yap C. , Qi Ong Y. , Tan Emile , Chok Aik Y. , Seow-En Isaac , Wee Ian , Macalinao Dominique C. , Chong Dawn Q. , Chang Hong Y. , Lee Fiona , Leow Wei Q. , Murata-Hori Maki , Xiaoqian Zhang , Shumei Chia , Tan Chris S.H. , Dasgupta Ramanuj , Tan Iain B. , Tergaonkar Vinay
Published: October 2024

Effect of LSD1 on hTERT expression and telomerase activity.
Supplementary Table S8 from Biologic and Clinical Analysis of Childhood Gamma Delta T-ALL Identifies LMO2/STAG2 Rearrangements as Extremely High Risk
Authors: Kimura Shunsuke , Park Chun Shik , Montefiori Lindsey E. , Iacobucci Ilaria , Pölönen Petri , Gao Qingsong , Arnold Elizabeth D. , Attarbaschi Andishe , Brown Anthony , Buldini Barbara , Caldwell Kenneth J. , Chang Yunchao , Chen Chelsey , Cheng Cheng , Cheng Zhongshan , Choi John , Conter Valentino , Crews Kristine R. , de Groot-Kruseman Hester A. , Deguchi Takao , Eguchi Mariko , Muhle Hannah E. , Elitzur Sarah , Escherich Gabriele , Freeman Burgess B. , Gu Zhaohui , Han Katie , Horibe Keizo , Imamura Toshihiko , Jeha Sima , Kato Motohiro , Chiew Kean H. , Khan Tanya , Kicinski Michal , Köhrer Stefan , Kornblau Steven M. , Kotecha Rishi S. , Li Chi-Kong , Liu Yen-Chun , Locatelli Franco , Luger Selina M. , Paietta Elisabeth M. , Manabe Atsushi , Marquart Hanne V. , Masetti Riccardo , Maybury Mellissa , Mazilier Pauline , Meijerink Jules P.P. , Mitchell Sharnise , Miyamura Takako , Moore Andrew S. , Oshima Koichi , Pawinska-Wasikowska Katarzyna , Pieters Rob , Prater Mollie S. , Pruett-Miller Shondra M. , Pui Ching-Hon , Qu Chunxu , Reiterova Michaela , Reyes Noemi , Roberts Kathryn G. , Rowe Jacob M. , Sato Atsushi , Schmiegelow Kjeld , Schrappe Martin , Shen Shuhong , Skoczeń Szymon , Spinelli Orietta , Stary Jan , Svaton Michael , Takagi Masatoshi , Takita Junko , Tang Yanjing , Teachey David T. , Thomas Paul G. , Tomizawa Daisuke , Trka Jan , Varotto Elena , Vincent Tiffaney L. , Yang Jun J. , Yeoh Allen E.J. , Zhou Yinmei , Zimmermann Martin , Inaba Hiroto , Mullighan Charles G.
Published: October 2024

Lists of feature genes for expression analysis.
Supplementary Figure S2 from CD28 Costimulation Augments CAR Signaling in NK Cells via the LCK/CD3ζ/ZAP70 Signaling Axis
Authors: Acharya Sunil , Basar Rafet , Daher May , Rafei Hind , Li Ping , Uprety Nadima , Ensley Emily , Shanley Mayra , Kumar Bijender , Banerjee Pinaki P. , Melo Garcia Luciana , Lin Paul , Mohanty Vakul , Kim Kun H. , Jiang Xianli , Pan Yuchen , Li Ye , Liu Bin , Nunez Cortes Ana K. , Zhang Chenyu , Fathi Mohsen , Rezvan Ali , Montalvo Melisa J. , Cha Sophia L. , Reyes-Silva Francia , Shrestha Rejeena , Guo Xingliang , Kundu Kiran , Biederstädt Alexander , Muniz-Feliciano Luis , Deyter Gary M. , Kaplan Mecit , Jiang Xin R. , Liu Enli , Jain Antrix , Roszik Janos , Fowlkes Natalie W. , Solis Soto Luisa M. , Raso Maria G. , Khoury Joseph D. , Lin Pei , Vega Francisco , Varadarajan Navin , Chen Ken , Marin David , Shpall Elizabeth J. , Rezvani Katayoun
Published: October 2024

In vitro characterization of the CAR27 constructs.
Supplementary Table S5 from Biologic and Clinical Analysis of Childhood Gamma Delta T-ALL Identifies LMO2/STAG2 Rearrangements as Extremely High Risk
Authors: Kimura Shunsuke , Park Chun Shik , Montefiori Lindsey E. , Iacobucci Ilaria , Pölönen Petri , Gao Qingsong , Arnold Elizabeth D. , Attarbaschi Andishe , Brown Anthony , Buldini Barbara , Caldwell Kenneth J. , Chang Yunchao , Chen Chelsey , Cheng Cheng , Cheng Zhongshan , Choi John , Conter Valentino , Crews Kristine R. , de Groot-Kruseman Hester A. , Deguchi Takao , Eguchi Mariko , Muhle Hannah E. , Elitzur Sarah , Escherich Gabriele , Freeman Burgess B. , Gu Zhaohui , Han Katie , Horibe Keizo , Imamura Toshihiko , Jeha Sima , Kato Motohiro , Chiew Kean H. , Khan Tanya , Kicinski Michal , Köhrer Stefan , Kornblau Steven M. , Kotecha Rishi S. , Li Chi-Kong , Liu Yen-Chun , Locatelli Franco , Luger Selina M. , Paietta Elisabeth M. , Manabe Atsushi , Marquart Hanne V. , Masetti Riccardo , Maybury Mellissa , Mazilier Pauline , Meijerink Jules P.P. , Mitchell Sharnise , Miyamura Takako , Moore Andrew S. , Oshima Koichi , Pawinska-Wasikowska Katarzyna , Pieters Rob , Prater Mollie S. , Pruett-Miller Shondra M. , Pui Ching-Hon , Qu Chunxu , Reiterova Michaela , Reyes Noemi , Roberts Kathryn G. , Rowe Jacob M. , Sato Atsushi , Schmiegelow Kjeld , Schrappe Martin , Shen Shuhong , Skoczeń Szymon , Spinelli Orietta , Stary Jan , Svaton Michael , Takagi Masatoshi , Takita Junko , Tang Yanjing , Teachey David T. , Thomas Paul G. , Tomizawa Daisuke , Trka Jan , Varotto Elena , Vincent Tiffaney L. , Yang Jun J. , Yeoh Allen E.J. , Zhou Yinmei , Zimmermann Martin , Inaba Hiroto , Mullighan Charles G.
Published: October 2024

Fusion calls detected by RNA sequencing.
Supplementary Fig. S7 from Perivascular NOTCH3+ Stem Cells Drive Meningioma Tumorigenesis and Resistance to Radiotherapy
Authors: Choudhury Abrar , Cady Martha A. , Lucas Calixto-Hope G. , Najem Hinda , Phillips Joanna J. , Palikuqi Brisa , Zakimi Naomi , Joseph Tara , Birrueta Janeth O. , Chen William C. , Oberheim Bush Nancy A. , Hervey-Jumper Shawn L. , Klein Ophir D. , Toedebusch Christine M. , Horbinski Craig M. , Magill Stephen T. , Bhaduri Aparna , Perry Arie , Dickinson Peter J. , Heimberger Amy B. , Ashworth Alan , Crouch Elizabeth E. , Raleigh David R.
Published: October 2024

Supplementary Fig. 7. WHO grade 1 meningioma immunofluorescence microscopy for NOTCH3 and the endothelial cell marker VWF. NOTCH3 expression is restricted to the perivascular niche adjacent to endothelial cells in meningiomas with WHO grade 1 histology. SF numbers indicate individual meningiomas. Representative of n=10 WHO grade 1 meningiomas. WHO grade defined using histological criteria. Scale bars, 10µm.
Supplementary Fig. S6 from Perivascular NOTCH3+ Stem Cells Drive Meningioma Tumorigenesis and Resistance to Radiotherapy
Authors: Choudhury Abrar , Cady Martha A. , Lucas Calixto-Hope G. , Najem Hinda , Phillips Joanna J. , Palikuqi Brisa , Zakimi Naomi , Joseph Tara , Birrueta Janeth O. , Chen William C. , Oberheim Bush Nancy A. , Hervey-Jumper Shawn L. , Klein Ophir D. , Toedebusch Christine M. , Horbinski Craig M. , Magill Stephen T. , Bhaduri Aparna , Perry Arie , Dickinson Peter J. , Heimberger Amy B. , Ashworth Alan , Crouch Elizabeth E. , Raleigh David R.
Published: October 2024

Supplementary Fig. 6. WHO grade 3 meningioma immunofluorescence microscopy for NOTCH3 and the mural cell marker SMA. NOTCH3 is expressed in and out of the perivascular niche, and colocalizes with mural cells in the perivascular niche, in meningiomas with WHO grade 3 histology. SF numbers indicate individual meningiomas. Representative of n=10 WHO grade 3 meningiomas. WHO grade defined using histological criteria. Scale bars, 10µm.
Supplementary Fig. S15 from Perivascular NOTCH3+ Stem Cells Drive Meningioma Tumorigenesis and Resistance to Radiotherapy
Authors: Choudhury Abrar , Cady Martha A. , Lucas Calixto-Hope G. , Najem Hinda , Phillips Joanna J. , Palikuqi Brisa , Zakimi Naomi , Joseph Tara , Birrueta Janeth O. , Chen William C. , Oberheim Bush Nancy A. , Hervey-Jumper Shawn L. , Klein Ophir D. , Toedebusch Christine M. , Horbinski Craig M. , Magill Stephen T. , Bhaduri Aparna , Perry Arie , Dickinson Peter J. , Heimberger Amy B. , Ashworth Alan , Crouch Elizabeth E. , Raleigh David R.
Published: October 2024

Supplementary Fig. 15. NOTCH3 RNAScope across meningioma DNA methylation groups. RNAScope for NOTCH3 and NF2 integrated with IF for the endothelial cell marker VE-cadherin in meningiomas with paired DNA methylation profiling and targeted next-generation DNA sequencing reveals NOTCH3 expression is enriched in meningiomas with biallelic NF2 inactivation from DNA methylation groups with adverse clinical outcomes. Both Hypermitotic meningiomas analyzed were recurrent after prior surgery and radiotherapy. WHO grade defined using histological criteria. Scale bar, 10µm.
Supplementary Fig. S13 from Perivascular NOTCH3+ Stem Cells Drive Meningioma Tumorigenesis and Resistance to Radiotherapy
Authors: Choudhury Abrar , Cady Martha A. , Lucas Calixto-Hope G. , Najem Hinda , Phillips Joanna J. , Palikuqi Brisa , Zakimi Naomi , Joseph Tara , Birrueta Janeth O. , Chen William C. , Oberheim Bush Nancy A. , Hervey-Jumper Shawn L. , Klein Ophir D. , Toedebusch Christine M. , Horbinski Craig M. , Magill Stephen T. , Bhaduri Aparna , Perry Arie , Dickinson Peter J. , Heimberger Amy B. , Ashworth Alan , Crouch Elizabeth E. , Raleigh David R.
Published: October 2024

Supplementary Fig. 13. Analysis of human and mouse cell types from single-cell RNA sequencing of meningioma xenografts. A, Feature plots showing differentially expressed genes across UMAP clusters from CH-157MN meningioma xenograft human cells analyzed using single-cell RNA sequencing. See also Supplementary Table 5. B, Meningioma xenograft human single-cell cluster changes across experimental conditions and biological replicates. Student’s t-tests. C, Single-cell RNA sequencing UMAP of 34,902 meningioma xenograft mouse cell transcriptomes showing microenvironment cell types. D, Feature plots showing differentially expressed genes across UMAP clusters from meningioma xenograft mouse cells analyzed using single-cell RNA sequencing. E, Meningioma xenograft mouse single-cell cluster changes across experimental conditions and biological replicates. See also Supplementary Table 6. Student’s t tests.
Supplementary Fig. S10 from Perivascular NOTCH3+ Stem Cells Drive Meningioma Tumorigenesis and Resistance to Radiotherapy
Authors: Choudhury Abrar , Cady Martha A. , Lucas Calixto-Hope G. , Najem Hinda , Phillips Joanna J. , Palikuqi Brisa , Zakimi Naomi , Joseph Tara , Birrueta Janeth O. , Chen William C. , Oberheim Bush Nancy A. , Hervey-Jumper Shawn L. , Klein Ophir D. , Toedebusch Christine M. , Horbinski Craig M. , Magill Stephen T. , Bhaduri Aparna , Perry Arie , Dickinson Peter J. , Heimberger Amy B. , Ashworth Alan , Crouch Elizabeth E. , Raleigh David R.
Published: October 2024

Supplementary Fig. 10. NOTCH3 is expressed in mural cells during brain vascular development and homeostasis. A, IF for NOTCH3, the mural cell marker PDGFR, and the endothelial cell marker CD34 in the developing human cortex from gestational week 17. NOTCH3 colocalizes with PDGFR in the marginal zone, which contributes to meningeal development (42–45). Representative of n=3 biological replicates. DAPI marks DNA. Unperfused red blood cells in the vascular lumen are autofluorescent in the NOTCH3 channel. Scale bars, 100µm (top), 10µm (bottom), and 1µm (insert). B, Single-cell RNA sequencing cell cluster UMAP and feature plots from re-analysis of 139,134 perinatal human brain vasculature transcriptomes (28) showing NOTCH3 is enriched in developing mural cells marked by ACTA2 or PDGFRB but not in developing endothelia marked by PECAM1. Samples for single-cell RNA sequencing were obtained from gestational weeks 15, 17, 18, 20, 22, and 23. C, Single-cell RNA sequencing cell cluster UMAP and feature plots from re-analysis of 84,138 adult human brain vasculature transcriptomes (30) showing NOTCH3 is expressed in mural cell lineages (pericytes, smooth muscle cells) but not endothelial cell lineages (venous cells, arterial cells, capillary cells). D, Single-cell RNA sequencing cell cluster UMAP and feature plots from re-analysis of 52,023 adult human brain vasculature transcriptomes (29) showing NOTCH3 is expressed in mural cell lineages (pericytes, smooth muscle cells, fibromyocytes) but not endothelial cell lineages (venous cells, arterial cells, capillary cells, venule cells).
Supplementary Methods from Biologic and Clinical Analysis of Childhood Gamma Delta T-ALL Identifies LMO2/STAG2 Rearrangements as Extremely High Risk
Authors: Kimura Shunsuke , Park Chun Shik , Montefiori Lindsey E. , Iacobucci Ilaria , Pölönen Petri , Gao Qingsong , Arnold Elizabeth D. , Attarbaschi Andishe , Brown Anthony , Buldini Barbara , Caldwell Kenneth J. , Chang Yunchao , Chen Chelsey , Cheng Cheng , Cheng Zhongshan , Choi John , Conter Valentino , Crews Kristine R. , de Groot-Kruseman Hester A. , Deguchi Takao , Eguchi Mariko , Muhle Hannah E. , Elitzur Sarah , Escherich Gabriele , Freeman Burgess B. , Gu Zhaohui , Han Katie , Horibe Keizo , Imamura Toshihiko , Jeha Sima , Kato Motohiro , Chiew Kean H. , Khan Tanya , Kicinski Michal , Köhrer Stefan , Kornblau Steven M. , Kotecha Rishi S. , Li Chi-Kong , Liu Yen-Chun , Locatelli Franco , Luger Selina M. , Paietta Elisabeth M. , Manabe Atsushi , Marquart Hanne V. , Masetti Riccardo , Maybury Mellissa , Mazilier Pauline , Meijerink Jules P.P. , Mitchell Sharnise , Miyamura Takako , Moore Andrew S. , Oshima Koichi , Pawinska-Wasikowska Katarzyna , Pieters Rob , Prater Mollie S. , Pruett-Miller Shondra M. , Pui Ching-Hon , Qu Chunxu , Reiterova Michaela , Reyes Noemi , Roberts Kathryn G. , Rowe Jacob M. , Sato Atsushi , Schmiegelow Kjeld , Schrappe Martin , Shen Shuhong , Skoczeń Szymon , Spinelli Orietta , Stary Jan , Svaton Michael , Takagi Masatoshi , Takita Junko , Tang Yanjing , Teachey David T. , Thomas Paul G. , Tomizawa Daisuke , Trka Jan , Varotto Elena , Vincent Tiffaney L. , Yang Jun J. , Yeoh Allen E.J. , Zhou Yinmei , Zimmermann Martin , Inaba Hiroto , Mullighan Charles G.
Published: October 2024

Supplementary Methods, Supplementary Results, Supplementary Data Figures 1 and 2
Supplementary Table S1 from CRISPR Dependency Screens in Primary Hematopoietic Stem Cells Identify KDM3B as a Genotype-specific Vulnerability in IDH2- and TET2-mutant Cells
Authors: Waarts Michael R. , Mowla Shoron , Boileau Meaghan , Martinez Benitez Anthony R. , Sango Junya , Bagish Maya , Fernández-Maestre Inés , Shan Yufan , Eisman Shira E. , Park Young C. , Wereski Matthew , Csete Isabelle , O’Connor Kavi , Romero-Vega Angelica C. , Miles Linde A. , Xiao Wenbin , Wu Xiaodi , Koche Richard P. , Armstrong Scott A. , Shih Alan H. , Papapetrou Eirini P. , Butler Jason M. , Cai Sheng F. , Bowman Robert L. , Levine Ross L.
Published: October 2024

sgRNA and shRNA sequences
Supplementary Figure S4 from Biologic and Clinical Analysis of Childhood Gamma Delta T-ALL Identifies LMO2/STAG2 Rearrangements as Extremely High Risk
Authors: Kimura Shunsuke , Park Chun Shik , Montefiori Lindsey E. , Iacobucci Ilaria , Pölönen Petri , Gao Qingsong , Arnold Elizabeth D. , Attarbaschi Andishe , Brown Anthony , Buldini Barbara , Caldwell Kenneth J. , Chang Yunchao , Chen Chelsey , Cheng Cheng , Cheng Zhongshan , Choi John , Conter Valentino , Crews Kristine R. , de Groot-Kruseman Hester A. , Deguchi Takao , Eguchi Mariko , Muhle Hannah E. , Elitzur Sarah , Escherich Gabriele , Freeman Burgess B. , Gu Zhaohui , Han Katie , Horibe Keizo , Imamura Toshihiko , Jeha Sima , Kato Motohiro , Chiew Kean H. , Khan Tanya , Kicinski Michal , Köhrer Stefan , Kornblau Steven M. , Kotecha Rishi S. , Li Chi-Kong , Liu Yen-Chun , Locatelli Franco , Luger Selina M. , Paietta Elisabeth M. , Manabe Atsushi , Marquart Hanne V. , Masetti Riccardo , Maybury Mellissa , Mazilier Pauline , Meijerink Jules P.P. , Mitchell Sharnise , Miyamura Takako , Moore Andrew S. , Oshima Koichi , Pawinska-Wasikowska Katarzyna , Pieters Rob , Prater Mollie S. , Pruett-Miller Shondra M. , Pui Ching-Hon , Qu Chunxu , Reiterova Michaela , Reyes Noemi , Roberts Kathryn G. , Rowe Jacob M. , Sato Atsushi , Schmiegelow Kjeld , Schrappe Martin , Shen Shuhong , Skoczeń Szymon , Spinelli Orietta , Stary Jan , Svaton Michael , Takagi Masatoshi , Takita Junko , Tang Yanjing , Teachey David T. , Thomas Paul G. , Tomizawa Daisuke , Trka Jan , Varotto Elena , Vincent Tiffaney L. , Yang Jun J. , Yeoh Allen E.J. , Zhou Yinmei , Zimmermann Martin , Inaba Hiroto , Mullighan Charles G.
Published: October 2024

The genomic features of “Chromosome gains” and “TLX3” subtypes.
Supplementary Figure S5 from Oncogenic KRAS-Dependent Stromal Interleukin-33 Directs the Pancreatic Microenvironment to Promote Tumor Growth
Authors: Donahue Katelyn L. , Watkoske Hannah R. , Kadiyala Padma , Du Wenting , Brown Kristee , Scales Michael K. , Elhossiny Ahmed M. , Espinoza Carlos E. , Lasse Opsahl Emily L. , Griffith Brian D. , Wen Yukang , Sun Lei , Velez-Delgado Ashley , Renollet Nur M. , Morales Jacqueline , Nedzesky Nicholas M. , Baliira Rachael K. , Menjivar Rosa E. , Medina-Cabrera Paola I. , Rao Arvind , Allen Benjamin , Shi Jiaqi , Frankel Timothy L. , Carpenter Eileen S. , Bednar Filip , Zhang Yaqing , Pasca di Magliano Marina
Published: October 2024

Figure S5: Inactivation of stromal IL-33 enables cytotoxic T cell activity.
Figure 2 from Health Disparities among Patients with Cancer Who Received Molecular Testing for Biomarker-Directed Therapy
Authors: Heath Elisabeth , Dyson Gregory , Ribeiro Jennifer R. , Xiu Joanne , Poorman Kelsey , Mamdani Hirva , Al-Hallak Mohammed N. , Shields Anthony F. , Elayoubi Jailan A. , Winer Ira S. , Cackowski Frank C. , Puckrein Gary A. , Lopes Gilberto de Lima , Jones Nathaniel , Hauke Ralph J. , Kareff Samuel A. , Radovich Milan , Sledge George W. , Spetzler David B. , Vidal Gregory A. , Marshall John L.
Published: October 2024

Genomic features and clinico-demographic associations of cohort. A, Total number of tumors positive for each mutated gene. B, Percentage of total tumors from each study site for the top 20 most commonly mutated genes. C, Prevalence of co-mutations among APC, EGFR, STK11, TP53, and KRAS. Red indicates strong co-mutation whereas blue indicates mutual exclusivity. D, Percentage of indicated tumor types with mutations in APC, EGFR, STK11, TP53, and KRAS. E, Age of patients among (−) and (+) gene mutation cohorts. The red line indicates the median age. F, Ratio of males to females in (−) and (+) gene mutation cohorts. G, Percentage of total (−) and (+) cohorts composed by indicated racial groups. *, P < 0.05; **, P < 0.01; #, P < 0.001; ns, not significant.
“How Can I Get Out of This?”: A Qualitative Study of the Phenomenology and Functional Impact of Misophonia in Youth and Families
Authors: Guzick Andrew Giles , Rast Catherine Elizabeth , Maddox Brenna Burns , Rodriguez Barajas Servando , Clinger Jane , McGuire Joseph , Storch Eric A.
Published: October 2024

Introduction: Misophonia is an increasingly recognized disorder characterized by negative emotional and sensory reactions to specific noises. Although misophonia most often begins in childhood, there has been minimal research on its clinical presentation in youth. This qualitative study explored cognitive behavioral processes that are involved in misophonia and its associated functional impairment in young people and their families. Methods: Focused interviews were conducted with 20 youth with misophonia (ages 10–17) and their parents. Thematic analyses of these interviews using a cognitive behavioral theoretical framework were conducted. Results: A number of themes were identified, which included internalizing and externalizing cognitive behavioral processes at the individual level (e.g., hypervigilance, anticipatory anxiety, escape, automatic negative attributions), secondary emotional and functional consequences (e.g., negative perception of self, guilt, anxiety, depression, emotional exhaustion, concentration difficulties at school), as well as significant impacts to school, social life, and particularly to family life (e.g., conflict/tension, anger and resentment, family accommodation). These themes are integrated in a proposed theoretical model. Discussion: Misophonia is characterized by several transdiagnostic cognitive behavioral processes, including avoidance, maladaptive cognitions, emotional reactivity, and family communication difficulties, as well as significant functional impairment. Developing treatments that target these processes has the potential to help youth overcome misophonia and improve the quality of life of youth and their families.