bluuebunny/crossref_metadata_2025 huggingface dataset:
Comprehending the Gossips: Meme Explanation in Time-Sync Video Comment via Multimodal Cues
Authors: Xie Zheyong , He Weidong , Xu Tong , Wu Shiwei , Zhu Chen , Yang Ping , Chen Enhong
Published: August 2023

Recent years have witnessed the booming of online social media platforms with embracing the popular service called “Time-Sync Comment”, which supports the viewers to share their time-sync opinions along with video content. In this way, we observe that numerous semantically-altered terms, or “Memes”, were created by niche users to express their unique ideas and emotions, and further attracted a large group of viewers with better activity and enthusiasm. Unfortunately, since the memes were created based on domain-specific knowledge and semantically varied depending on the multimodal context in videos, newcomers may fail to comprehend the semantic connotation of memes, which may severely impair their user-experiences. To deal with this issue, in this article, we propose a novel meme explanation framework, called ProMDE, to automatically capture and comprehend the memes in time-sync comments, which could further benefit the viewers with meme explanation service. Specifically, we first iteratively reconstruct the original time-sync comments compared with visual embedding to detect the semantically-altered terms as meme candidates. Afterward, based on the guides from the domain-specific corpus, visual and textual features will be fused to represent the context-aware multimodal cues. Moreover, to accurately describe the commonly-seen homophones in memes, i.e., they have the same pronunciation but different word-spelling expressions, we integrate the phonetic symbols as an additional modality to enhance the framework. Finally, we utilize a Transformer-based decoder to generate the natural language explanation for captured memes. Extensive experiments on a large real-world dataset prove that our framework could significantly outperform several state-of-the-art baseline methods, demonstrating the efficacy of modeling multimodal context and pronunciation for meme detection and explanation.
Gas Bubble Evolution during ECM Process can be suppressed by Pulse Parameters: High Speed Videographic Observations during Early Stages of Bubble Evolution
Authors: Saxena Krishna Kumar , Arshad Muhammad Hazak , Reynaerts Dominiek , Kunieda Masanori
Published: August 2023

The precision in electrochemical machining (ECM) is adversely affected by the generation of gas bubbles due to the inherent electrochemical reactions occurring at the cathode (tool) and anode (workpiece) surface. These gas bubbles are known to cause variations in electrolyte conductivity and lead to uneven dissolution and limit the achievable flatness and surface finish. The demands for precision ECM make it important to investigate the bubble evolution phenomenon. In the prior state of the art, this has been done by means of transparent electrodes and high-speed video observations. The current work involves high-speed video experiments with a specific intention to observe gas bubbles during the early stages of evolution and attempts to address two main research questions: (i) Is it possible to suppress gas bubble evolution in ECM using pulse parameters? (ii) Is it possible to do ECM without gas bubbles? The results reveal that shorter pulse-on times and longer pulse-off times reduce the growth of the concentration boundary layer, thereby suppressing bubble generation. Furthermore, by combining the aforementioned electrical pulse settings with an appropriate flow rate, there is no significant detection of gas bubbles in the experiments conducted here, as can be concluded from the fact that the interelectrode gap (IEG) remains transparent. The industrial applicability-oriented analysis focused on evaluating the final IEG and did not reveal any significant difference due to shorter flow lengths. It is further suggested that by employing high flow rates in combination with shorter pulse-on times, the pulse-off time can be further shortened to raise duty cycles so as to facilitate economic machining without the influence of gas bubbles.
Potential of a Thin-Film Cell for assessing the Sensitivity of Nickel-Base Alloys to Crevice Corrosion
Authors: Klinklin H. , Marcelin S. , Ter-Ovanessian B. , Monnot M. , Normand B.
Published: August 2023

Nickel-base alloy 825 is prone to crevice corrosion in seawater. A modified and updated thin-layer cell was used to mimic crevice corrosion, and a new approach to monitor the evolution of the material behavior was developed. The corrosion potential, polarization resistance, and electrolyte resistance were demonstrated to be good indicators to follow the different stages of the crevice-corrosion process. The results were discussed in regard with the cathodic process kinetic. The different tested conditions justify the interest of the methodology developed for this set-up.
Nanosheet Field Effect Transistor Device and Circuit Aspects for Future Technology Nodes
Authors: Kumar Aruru Sai , Sreenivasulu V. Bharath , Chavva Subba Reddy , Bhandari Sheetal , Kumari N. Aruna , Pothabolu Anitha , Deekshana M , Somineni Rajendra Prasad
Published: August 2023

Moore’s law states that the technical innovations are being absorbed already. The device’s controllability has dramatically improved since moving from a straightforward MOSFET constructed with a single control gate to one with many control gates. In this research paper, the device-level simulation of vertically stacked GAA nanosheet FET is performed, for which the various geometrical variations are calibrated. This research paper examines the impact of these geometrical variations on the device’s performance. The most prominent parameters like I
ON, I
OFF, SS, DIBL, switching ratio, and Threshold voltage values are analyzed. For the device to be considered to have better performance I
ON should be maximum, I
OFF should be minimum. Hence to obtain this the thickness of the nanosheet is varied on the scale of 5 nm to 9 nm, and the width is varied from 10 nm to 50 nm. The device simulation and analysis are performed using the Visual TCAD−3D Cogenda tool.
Inhalation boosts perceptual awareness and decision speed
Authors: Molle Ludovic , Coste Alexandre , Benoit Charles-Etienne , Derosiere Gerard , Janaqi Stefan , Perrey Stéphane , Dupeyron Arnaud
Published: August 2023

Breathing is a ubiquitous biological rhythm in animal life. However, little is known about its effect on consciousness and decision-making. Here, we measured the respiratory rhythm of humans performing a near-threshold discrimination experiment. We show that inhalation, compared with exhalation, improves perceptual awareness and accelerates decision-making while leaving accuracy unaffected.
Glucose Metabolism Indices and the Development of Chronic Kidney Disease: A Cohort Study of Middle-Aged and Elderly Chinese Persons
Authors: You Lili , Hong Xiaosi , Feng Qiling , Sun Kan , Lin Diaozhu , Huang Chulin , Chen Chaogang , Wang Chuan , Lao Guojuan , Xue Shengneng , Tang Juying , Li Na , Qi Yiqin , Feng Wanting , Li Feng , Yang Chuan , Xu Mingtong , Li Yan , Yan Li , Ren Meng
Published: August 2023

Objective. Chronic kidney disease (CKD) has become a major global health issue, and abnormalities of glucose metabolism are a risk factor responsible for development of CKD. We aimed to investigate associations between glucose metabolism indices and CKD in a Chinese population and determine which index is superior for predicting incident CKD. Methods. We performed a community-based population on 5232 subjects aged ≥40 years without baseline CKD. CKD was defined as an estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73 m2 or urinary albumin-to-creatinine ratio (UACR) ≥30 mg/g. We examined the associations of glucose metabolism indices, including fasting plasma glucose (FPG), 2-hour (2 h) oral glucose tolerance test (OGTT), hemoglobin A1c (HbA1c), fasting insulin level, homeostasis model assessment of insulin resistance (HOMA-IR), and HOMA-β and the development of CKD. Results. With an average follow-up of 3.6 years, 6.4% of the subjects developed CKD. Pearson’s correlation analysis revealed that FPG, HbA1c, fasting insulin, and HOMA-IR were all significantly correlated with UACR and eGFR. The association persisted in multivariate linear regression analysis adjusted for age and sex. Compared with other glucose indices, HOMA-IR exhibited the strongest associations with CKD in COX multivariate regression analysis (HR = 1.17, 95% CI: 1.04–1.31). Conclusion. HOMA-IR is superior to other routine indices of glucose metabolism for predicting the development of CKD in middle-aged Chinese persons. Screening with HOMA-IR may help prevent the development of CKD in the general population.
Prediction and Impact Analysis of Passenger Flow in Urban Rail Transit in the Postpandemic Era
Authors: Shi Guifang , Luo Limei
Published: August 2023

In the postpandemic era, exploring the relationship between the daily new COVID-19 cases and passenger flow in urban rail transit can help effectively predict the impact of future pandemic situations on rail transit. In this study, based on a gated recurrent unit (GRU) neural network model, the daily passenger flow in urban rail transit in the postpandemic era was predicted, and the results were compared with those obtained using the long short-term memory (LSTM) neural network and other conventional time series analysis models such as SARIMA (seasonal autoregressive integrated moving average). Based on the trained GRU model, a partial dependence plot (PDP) was adopted to explore the quantitative relationship between the daily passenger flow and the daily new cases or weather attribute. The results showed that (1) the prediction accuracy of the GRU neural network model was 95.25%, which was the highest among the prediction models studied, indicating that the GRU could achieve the best performance. (2) The GRU model did not fluctuate significantly in the initial training stage, and its convergence rate was higher than that of the LSTM. (3) The number of daily new cases was negatively correlated with the daily passenger flow. For every new case on the previous day, the daily passenger flow fell by an average of 54,600 person-times. (4) Compared with no rain condition, the daily passenger flow decreased by 207,600 person-times on an average on rainy days. In summary, the neural network could achieve accurate prediction, while the PDP could compensate for the “black box” disadvantage of nonparametric models, owing to which the quantitative relationship between the number of new cases and daily passenger flow could be successfully explored. Our study can serve as a basis for demand prediction, operational organization, and policy implementation related to urban rail transit.
Ultra-Proximal Jejunostomy Application after McKeown-Type Esophagectomy: A Retrospective Case-Series Study
Authors: Lin Dongliang , Xu Zhendong , Huang Jinlong , Hong Wenshan , Zhang Weiqing , Lian Luoyu
Published: August 2023

Background. Jejunostomy is the main form of enteral nutritional support after McKeown-type esophagectomy. However, this requires the jejunum to be secured to the abdominal wall, which can lead to catheter-related complications. Here, we present a new type of jejunostomy, ultra-proximal jejunostomy, which does not require fixation of the jejunum to the abdominal wall. Methods. Patients who underwent McKeown-type esophagectomy between January 2021 and March 2022 were included in this study. Postoperative outcomes of patients who underwent ultra-proximal jejunostomy are also presented. Results. Forty-three patients were able to receive enteral nutritional support via an ultra-proximal jejunostomy after McKeown-type esophagectomy, and no cases of enteral fistulas were observed. The pain in the left lower abdomen largely disappeared after the removal of the jejunostomy tube in all patients, and there was no difficulty in removing the tube. To date, none of these patients have experienced bowel obstruction or jejunal torsion. Conclusion. An ultra-proximal jejunostomy is a safe and feasible method and a better option for enteral nutrition support after McKeown-type esophagectomy.
Effects of Ninjin’yoeito on Human CYP3A and Mouse CYP3A Activity
Authors: Kaneda Marisa , Oyama Manami , Yoshimi Takashi , Michihara Seiwa , Han Li-Kun , Fujita Nina , Takahashi Ryuji
Published: August 2023

Ninjin’yoeito (NYT) is widely used clinically for the management of patients with frailty and other multiple symptoms. NYT is often administered with other drugs; however, little information is available on its drug interactions. Previous studies using human liver microsomes have reported that constituents of NYT either inhibit (schisandra fruit, cinnamon bark, glycyrrhiza, and poria sclerotium) or induce (schisandra fruit and glycyrrhiza) CYP3A4 expression. Herein, we conducted in vitro and in vivo studies targeting human CYP3A and mouse CYP3A to elucidate the effects of NYT coadministration with other drugs on hepatic drug metabolism. In an inhibition study using human liver microsomes, NYT showed concentration‐dependent reversible inhibition and time‐dependent inhibition. Furthermore, in an induction study using frozen human hepatocytes, the addition of 0.01–0.1 mg/mL NYT resulted in a concentration‐dependent increase in CYP3A gene expression. Contrarily, no significant changes in CYP3A substrate blood concentrations were observed between untreated mice and mice that received either a single dose of NYT or repeated doses for 15 days. These results demonstrate that NYT has inhibitory and inductive effects on hepatic CYP3A in vitro, but orally administered NYT does not affect drug metabolism mediated by hepatic CYP3A in vivo in the mouse model. Although there is a little information about drug interactions of NYT, this study provides new evidence for that.
Supplementary Information from Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning–Assisted Gland Analysis
Authors: Xie Weisi , Reder Nicholas P. , Koyuncu Can , Leo Patrick , Hawley Sarah , Huang Hongyi , Mao Chenyi , Postupna Nadia , Kang Soyoung , Serafin Robert , Gao Gan , Han Qinghua , Bishop Kevin W. , Barner Lindsey A. , Fu Pingfu , Wright Jonathan L. , Keene C. Dirk , Vaughan Joshua C. , Janowczyk Andrew , Glaser Adam K. , Madabhushi Anant , True Lawrence D. , Liu Jonathan T.C.
Published: August 2023

Supplementary methods, notes, figures, tables, video captions, and references
Supplementary Figure S1 from Socioeconomic Status at Birth and Breast Tissue Composition in Adolescence and Adulthood
Authors: Kehm Rebecca D. , Lilge Lothar , Walter E. Jane , White Melissa , Herbstman Julie B. , Perera Frederica P. , Miller Rachel L. , Terry Mary Beth , Tehranifar Parisa
Published: August 2023

Supplementary Figure S1 shows how adolescent girls in the study were classified into the composite socioeconomic status index based on their annual household income and maternal education at birth.
Supplementary Figure S4 from Characteristics of Cancer Epidemiology Studies That Employ Metabolomics: A Scoping Review
Authors: Yu Catherine T. , Farhat Zeinab , Livinski Alicia A. , Loftfield Erikka , Zanetti Krista A.
Published: August 2023

Supplementary Figure S4 shows bar graph displaying distribution of metabolomic epidemiology studies of cancer by number of cancer cases recruited.
Supplementary Table 6 from Body Composition, Relative Dose Intensity, and Adverse Events among Patients with Colon Cancer
Authors: Cheng En , Caan Bette J. , Cawthon Peggy M. , Evans William J. , Hellerstein Marc K. , Shankaran Mahalakshmi , Nyangau Edna , Campbell Kristin L. , Lee Catherine , Binder Alexandra M. , Meyerhardt Jeffrey A. , Schmitz Kathryn H. , Cespedes Feliciano Elizabeth M.
Published: August 2023

Supplementary Table 6. Sex-Specific Adjusted Associations of Body Composition Measurements (Per SD Increase) with Reduced RDI and Relative Changes (%) in the Number of Moderate and Severe Adverse Events
Supplementary Table 5 from Body Composition, Relative Dose Intensity, and Adverse Events among Patients with Colon Cancer
Authors: Cheng En , Caan Bette J. , Cawthon Peggy M. , Evans William J. , Hellerstein Marc K. , Shankaran Mahalakshmi , Nyangau Edna , Campbell Kristin L. , Lee Catherine , Binder Alexandra M. , Meyerhardt Jeffrey A. , Schmitz Kathryn H. , Cespedes Feliciano Elizabeth M.
Published: August 2023

Supplementary Table 5. The Adjusted Associations of Body Composition Measurements (Per SD Increase) with Reduced RDI Counting from the Initiation of First Chemotherapy
Supplementary Table 1 from Body Composition, Relative Dose Intensity, and Adverse Events among Patients with Colon Cancer
Authors: Cheng En , Caan Bette J. , Cawthon Peggy M. , Evans William J. , Hellerstein Marc K. , Shankaran Mahalakshmi , Nyangau Edna , Campbell Kristin L. , Lee Catherine , Binder Alexandra M. , Meyerhardt Jeffrey A. , Schmitz Kathryn H. , Cespedes Feliciano Elizabeth M.
Published: August 2023

Supplementary Table 1. The Comparisons of Patient Characteristics in All (N = 178), CT (N = 170), DXA (N = 162), and D3Cr (N = 118) Groups
Table S1 from Risk of Colorectal Cancer and Colorectal Cancer Mortality Beginning One Year after a Negative Fecal Occult Blood Test, among Screen-Eligible 76- to 85-Year-Olds
Authors: Dalmat Ronit R. , Ziebell Rebecca A. , Kamineni Aruna , Phipps Amanda I. , Weiss Noel S. , Breslau Erica S. , Burnett-Hartman Andrea N. , Corley Douglas A. , Doria-Rose V. Paul , Green Beverly B. , Halm Ethan A. , Levin Theodore R. , Schottinger Joanne E. , Chubak Jessica
Published: August 2023

Table S-1 shows characteristics of screen-eligible patients aged 76-85 years at index date, stratified by healthcare system.
Supplementary Figure 1 from Risk of Colorectal Cancer and Colorectal Cancer Mortality Beginning One Year after a Negative Fecal Occult Blood Test, among Screen-Eligible 76- to 85-Year-Olds
Authors: Dalmat Ronit R. , Ziebell Rebecca A. , Kamineni Aruna , Phipps Amanda I. , Weiss Noel S. , Breslau Erica S. , Burnett-Hartman Andrea N. , Corley Douglas A. , Doria-Rose V. Paul , Green Beverly B. , Halm Ethan A. , Levin Theodore R. , Schottinger Joanne E. , Chubak Jessica
Published: August 2023

Figure S-1 illustrates selection of eligible study population from PRECISE cohort.
Supplementary Table 3 from Patterns of Evidence-Based Care for the Diagnosis, Staging, and First-line Treatment of Breast Cancer by Race–Ethnicity: A SEER-Medicare Study
Authors: Herbach Emma L. , Nash Sarah H. , Lizarraga Ingrid M. , Carnahan Ryan M. , Wang Kai , Ogilvie Amy C. , Curran Michaela , Charlton Mary E.
Published: August 2023

Supplementary Table 3 shows adjusted rate ratios for all applicable outcomes stratified by age at diagnosis.
Supplementary Figure 1 from Patterns of Evidence-Based Care for the Diagnosis, Staging, and First-line Treatment of Breast Cancer by Race–Ethnicity: A SEER-Medicare Study
Authors: Herbach Emma L. , Nash Sarah H. , Lizarraga Ingrid M. , Carnahan Ryan M. , Wang Kai , Ogilvie Amy C. , Curran Michaela , Charlton Mary E.
Published: August 2023

Supplementary Figure 1 describes the process for combining multiple data sources to create a race-ethnicity variable using the best available (and most accurate) data.
Data from Characteristics of Cancer Epidemiology Studies That Employ Metabolomics: A Scoping Review
Authors: Yu Catherine T. , Farhat Zeinab , Livinski Alicia A. , Loftfield Erikka , Zanetti Krista A.
Published: August 2023

Abstract
An increasing number of cancer epidemiology studies use metabolomics assays. This scoping review characterizes trends in the literature in terms of study design, population characteristics, and metabolomics approaches and identifies opportunities for future growth and improvement. We searched PubMed/MEDLINE, Embase, Scopus, and Web of Science: Core Collection databases and included research articles that used metabolomics to primarily study cancer, contained a minimum of 100 cases in each main analysis stratum, used an epidemiologic study design, and were published in English from 1998 to June 2021. A total of 2,048 articles were screened, of which 314 full texts were further assessed resulting in 77 included articles. The most well-studied cancers were colorectal (19.5%), prostate (19.5%), and breast (19.5%). Most studies used a nested case–control design to estimate associations between individual metabolites and cancer risk and a liquid chromatography–tandem mass spectrometry untargeted or semi-targeted approach to measure metabolites in blood. Studies were geographically diverse, including countries in Asia, Europe, and North America; 27.3% of studies reported on participant race, the majority reporting White participants. Most studies (70.2%) included fewer than 300 cancer cases in their main analysis. This scoping review identified key areas for improvement, including needs for standardized race and ethnicity reporting, more diverse study populations, and larger studies.
Data from Associations between Ambient Air Pollutants and Clonal Hematopoiesis of Indeterminate Potential
Authors: Leiser Claire L. , Whitsel Eric A. , Reiner Alexander , Rich Stephen S. , Rotter Jerome I. , Taylor Kent D. , Tracy Russel P. , Kooperberg Charles , Smith Albert Vernon , Manson JoAnn E. , Mychaleckyj Josyf C. , Bick Alexander G. , Szpiro Adam A. , Kaufman Joel D.
Published: August 2023

AbstractBackground:
Clonal hematopoiesis of indeterminate potential (CHIP) is an age-related somatic mutation associated with incident hematologic cancer. Environmental stressors which, like air pollution, generate oxidative stress at the cellular level, may induce somatic mutations and some mutations may provide a selection advantage for persistence and expansion of specific clones.
Methods:
We used data from the Multi-Ethnic Study of Atherosclerosis (MESA) N = 4,379 and the Women's Health Initiative (WHI) N = 7,701 to estimate cross-sectional associations between annual average air pollution concentrations at participant address the year before blood draw using validated spatiotemporal models. We used covariate-adjusted logistic regression to estimate risk of CHIP per interquartile range increases in particulate matter (PM2.5; 4 μg/m3) and nitrogen dioxide (NO2; 10 ppb) as ORs (95% confidence intervals).
Results:
Prevalence of CHIP at blood draw (variant allele fraction > 2%) was 4.4% and 8.7% in MESA and WHI, respectively. The most common CHIP driver mutation was in DNMT3A. Neither pollutant was associated with CHIP: ORMESA PM2.5 = 1.00 (0.68–1.45), ORMESA NO2 = 1.05 (0.69–1.61), ORWHI PM2.5 = 0.97 (0.86–1.09), ORWHI NO2 = 0.98 (0.88–1.10); or with DNMT3A-driven CHIP.
Conclusions:
We did not find evidence that air pollution contributes to CHIP prevalence in two large observational cohorts.
Impact:
This is the first study to estimate associations between air pollution and CHIP.
Supplementary Table S3 from A Phase Ib Trial of AVID200, a TGFβ 1/3 Trap, in Patients with Myelofibrosis
Authors: Mascarenhas John , Migliaccio Anna Rita , Kosiorek Heidi , Bhave Rupali , Palmer Jeanne , Kuykendall Andrew , Mesa Ruben , Rampal Raajit K. , Gerds Aaron T. , Yacoub Abdulraheem , Pettit Kristen , Talpaz Moshe , Komrokji Rami , Kremyanskaya Marina , Gonzalez Agapito , Fabris Frank , Johnson Kathryn , Dougherty Mikaela , McGovern Erin , Arango Ossa Juan , Domenico Dylan , Farnoud Noushin , Weinberg Rona Singer , Kong Amy , Najfeld Vesna , Vannucchi Alessandro Maria , Arciprete Francesca , Zingariello Maria , Falchi Mario , Salama Mohamed E. , Mead-Harvey Carolyn , Dueck Amylou , Varricchio Lilian , Hoffman Ronald
Published: August 2023

Representativeness of Study Participants.
Supplementary Table S1 from A Phase Ib Trial of AVID200, a TGFβ 1/3 Trap, in Patients with Myelofibrosis
Authors: Mascarenhas John , Migliaccio Anna Rita , Kosiorek Heidi , Bhave Rupali , Palmer Jeanne , Kuykendall Andrew , Mesa Ruben , Rampal Raajit K. , Gerds Aaron T. , Yacoub Abdulraheem , Pettit Kristen , Talpaz Moshe , Komrokji Rami , Kremyanskaya Marina , Gonzalez Agapito , Fabris Frank , Johnson Kathryn , Dougherty Mikaela , McGovern Erin , Arango Ossa Juan , Domenico Dylan , Farnoud Noushin , Weinberg Rona Singer , Kong Amy , Najfeld Vesna , Vannucchi Alessandro Maria , Arciprete Francesca , Zingariello Maria , Falchi Mario , Salama Mohamed E. , Mead-Harvey Carolyn , Dueck Amylou , Varricchio Lilian , Hoffman Ronald
Published: August 2023

Clinical info on the platelets-responsive and non-responsive patients
Supplementary Figure S9 from A Phase Ib Trial of AVID200, a TGFβ 1/3 Trap, in Patients with Myelofibrosis
Authors: Mascarenhas John , Migliaccio Anna Rita , Kosiorek Heidi , Bhave Rupali , Palmer Jeanne , Kuykendall Andrew , Mesa Ruben , Rampal Raajit K. , Gerds Aaron T. , Yacoub Abdulraheem , Pettit Kristen , Talpaz Moshe , Komrokji Rami , Kremyanskaya Marina , Gonzalez Agapito , Fabris Frank , Johnson Kathryn , Dougherty Mikaela , McGovern Erin , Arango Ossa Juan , Domenico Dylan , Farnoud Noushin , Weinberg Rona Singer , Kong Amy , Najfeld Vesna , Vannucchi Alessandro Maria , Arciprete Francesca , Zingariello Maria , Falchi Mario , Salama Mohamed E. , Mead-Harvey Carolyn , Dueck Amylou , Varricchio Lilian , Hoffman Ronald
Published: August 2023

PK data for Cycle 1 (first 24 hours only) for A) 180 mg/m2 dose level and B) 550 mg/m2 dose level during dose escalation phase I.
Supplementary Figure S8 from A Phase Ib Trial of AVID200, a TGFβ 1/3 Trap, in Patients with Myelofibrosis
Authors: Mascarenhas John , Migliaccio Anna Rita , Kosiorek Heidi , Bhave Rupali , Palmer Jeanne , Kuykendall Andrew , Mesa Ruben , Rampal Raajit K. , Gerds Aaron T. , Yacoub Abdulraheem , Pettit Kristen , Talpaz Moshe , Komrokji Rami , Kremyanskaya Marina , Gonzalez Agapito , Fabris Frank , Johnson Kathryn , Dougherty Mikaela , McGovern Erin , Arango Ossa Juan , Domenico Dylan , Farnoud Noushin , Weinberg Rona Singer , Kong Amy , Najfeld Vesna , Vannucchi Alessandro Maria , Arciprete Francesca , Zingariello Maria , Falchi Mario , Salama Mohamed E. , Mead-Harvey Carolyn , Dueck Amylou , Varricchio Lilian , Hoffman Ronald
Published: August 2023

AVID200 induced similar decrements in the plasma levels of TGF-β in the three patients with and without platelet response
Supplementary Figure S7 from A Phase Ib Trial of AVID200, a TGFβ 1/3 Trap, in Patients with Myelofibrosis
Authors: Mascarenhas John , Migliaccio Anna Rita , Kosiorek Heidi , Bhave Rupali , Palmer Jeanne , Kuykendall Andrew , Mesa Ruben , Rampal Raajit K. , Gerds Aaron T. , Yacoub Abdulraheem , Pettit Kristen , Talpaz Moshe , Komrokji Rami , Kremyanskaya Marina , Gonzalez Agapito , Fabris Frank , Johnson Kathryn , Dougherty Mikaela , McGovern Erin , Arango Ossa Juan , Domenico Dylan , Farnoud Noushin , Weinberg Rona Singer , Kong Amy , Najfeld Vesna , Vannucchi Alessandro Maria , Arciprete Francesca , Zingariello Maria , Falchi Mario , Salama Mohamed E. , Mead-Harvey Carolyn , Dueck Amylou , Varricchio Lilian , Hoffman Ronald
Published: August 2023

Effects of AVID200 therapy on plasma TGFβ levels.
Supplementary Figure S6 from A Phase Ib Trial of AVID200, a TGFβ 1/3 Trap, in Patients with Myelofibrosis
Authors: Mascarenhas John , Migliaccio Anna Rita , Kosiorek Heidi , Bhave Rupali , Palmer Jeanne , Kuykendall Andrew , Mesa Ruben , Rampal Raajit K. , Gerds Aaron T. , Yacoub Abdulraheem , Pettit Kristen , Talpaz Moshe , Komrokji Rami , Kremyanskaya Marina , Gonzalez Agapito , Fabris Frank , Johnson Kathryn , Dougherty Mikaela , McGovern Erin , Arango Ossa Juan , Domenico Dylan , Farnoud Noushin , Weinberg Rona Singer , Kong Amy , Najfeld Vesna , Vannucchi Alessandro Maria , Arciprete Francesca , Zingariello Maria , Falchi Mario , Salama Mohamed E. , Mead-Harvey Carolyn , Dueck Amylou , Varricchio Lilian , Hoffman Ronald
Published: August 2023

GATA1 expression in megakaryocytes from patients treated with AVID200
Supplementary Figure S2 from A Phase Ib Trial of AVID200, a TGFβ 1/3 Trap, in Patients with Myelofibrosis
Authors: Mascarenhas John , Migliaccio Anna Rita , Kosiorek Heidi , Bhave Rupali , Palmer Jeanne , Kuykendall Andrew , Mesa Ruben , Rampal Raajit K. , Gerds Aaron T. , Yacoub Abdulraheem , Pettit Kristen , Talpaz Moshe , Komrokji Rami , Kremyanskaya Marina , Gonzalez Agapito , Fabris Frank , Johnson Kathryn , Dougherty Mikaela , McGovern Erin , Arango Ossa Juan , Domenico Dylan , Farnoud Noushin , Weinberg Rona Singer , Kong Amy , Najfeld Vesna , Vannucchi Alessandro Maria , Arciprete Francesca , Zingariello Maria , Falchi Mario , Salama Mohamed E. , Mead-Harvey Carolyn , Dueck Amylou , Varricchio Lilian , Hoffman Ronald
Published: August 2023

Baseline mutational profile of enrolled patients.
Supplementary Figure S1 from A Phase Ib Trial of AVID200, a TGFβ 1/3 Trap, in Patients with Myelofibrosis
Authors: Mascarenhas John , Migliaccio Anna Rita , Kosiorek Heidi , Bhave Rupali , Palmer Jeanne , Kuykendall Andrew , Mesa Ruben , Rampal Raajit K. , Gerds Aaron T. , Yacoub Abdulraheem , Pettit Kristen , Talpaz Moshe , Komrokji Rami , Kremyanskaya Marina , Gonzalez Agapito , Fabris Frank , Johnson Kathryn , Dougherty Mikaela , McGovern Erin , Arango Ossa Juan , Domenico Dylan , Farnoud Noushin , Weinberg Rona Singer , Kong Amy , Najfeld Vesna , Vannucchi Alessandro Maria , Arciprete Francesca , Zingariello Maria , Falchi Mario , Salama Mohamed E. , Mead-Harvey Carolyn , Dueck Amylou , Varricchio Lilian , Hoffman Ronald
Published: August 2023

MPN-RC 118 phase 1b study schema
Data from Randomized Phase II Trial of Dendritic Cell/Myeloma Fusion Vaccine with Lenalidomide Maintenance after Upfront Autologous Hematopoietic Cell Transplantation for Multiple Myeloma: BMT CTN 1401
Authors: Chung David J. , Shah Nina , Wu Juan , Logan Brent , Bisharat Lina , Callander Natalie , Cheloni Giulia , Anderson Kenneth , Chodon Thinle , Dhakal Binod , Devine Steve , Somaiya Dutt Poorvi , Efebera Yvonne , Geller Nancy , Ghiasuddin Haider , Hematti Peiman , Holmberg Leona , Howard Alan , Johnson Bryon , Karagkouni Dimitra , Lazarus Hillard M. , Malek Ehsan , McCarthy Philip , McKenna David , Mendizabal Adam , Nooka Ajay , Munshi Nikhil , O'Donnell Lynn , Rapoport Aaron P. , Reese Jane , Rosenblatt Jacalyn , Soiffer Robert , Stroopinsky Dina , Uhl Lynne , Vlachos Ioannis S. , Waller Edmund K. , Young James W. , Pasquini Marcelo C. , Avigan David
Published: August 2023

AbstractPurpose:
Vaccination with dendritic cell (DC)/multiple myeloma (MM) fusions has been shown to induce the expansion of circulating multiple myeloma–reactive lymphocytes and consolidation of clinical response following autologous hematopoietic cell transplant (auto-HCT).
Patients and Methods:
In this randomized phase II trial (NCT02728102), we assessed the effect of DC/MM fusion vaccination, GM-CSF, and lenalidomide maintenance as compared with control arms of GM-CSF and lenalidomide or lenalidomide maintenance alone on clinical response rates and induction of multiple myeloma–specific immunity at 1-year posttransplant.
Results:
The study enrolled 203 patients, with 140 randomized posttransplantation. Vaccine production was successful in 63 of 68 patients. At 1 year, rates of CR were 52.9% (vaccine) and 50% (control; P = 0.37, 80% CI 44.5%, 61.3%, and 41.6%, 58.4%, respectively), and rates of VGPR or better were 85.3% (vaccine) and 77.8% (control; P = 0.2). Conversion to CR at 1 year was 34.8% (vaccine) and 27.3% (control; P = 0.4). Vaccination induced a statistically significant expansion of multiple myeloma–reactive T cells at 1 year compared with before vaccination (P = 0.024) and in contrast to the nonvaccine arm (P = 0.026). Single-cell transcriptomics revealed clonotypic expansion of activated CD8 cells and shared dominant clonotypes between patients at 1-year posttransplant.
Conclusions:
DC/MM fusion vaccination with lenalidomide did not result in a statistically significant increase in CR rates at 1 year posttransplant but was associated with a significant increase in circulating multiple myeloma–reactive lymphocytes indicative of tumor-specific immunity. Site-specific production of a personalized cell therapy with centralized product characterization was effectively accomplished in the context of a multicenter cooperative group study.
Supplementary Table 1 from Telomerase Upregulation Induces Progression of Mouse BrafV600E-Driven Thyroid Cancers and Triggers Nontelomeric Effects
Authors: Landa Iñigo , Thornton Caitlin E.M. , Xu Bin , Haase Jacob , Krishnamoorthy Gnana P. , Hao Jingzhu , Knauf Jeffrey A. , Herbert Zachary T. , Martínez Paula , Blasco María A. , Ghossein Ronald , Fagin James A.
Published: August 2023

List of primers used for quantitative PCR.
Supplementary Figure 3 from Telomerase Upregulation Induces Progression of Mouse BrafV600E-Driven Thyroid Cancers and Triggers Nontelomeric Effects
Authors: Landa Iñigo , Thornton Caitlin E.M. , Xu Bin , Haase Jacob , Krishnamoorthy Gnana P. , Hao Jingzhu , Knauf Jeffrey A. , Herbert Zachary T. , Martínez Paula , Blasco María A. , Ghossein Ronald , Fagin James A.
Published: August 2023

Additional insights from RNAscope analysis and telomere length evaluation. A-L. Analysis of intratumoral heterogeneity of Tert transcription via RNAscope.
Supplementary Table 1 from Podoplanin Drives Amoeboid Invasion in Canine and Human Mucosal Melanoma
Authors: Shinada Masahiro , Kato Daiki , Motegi Tomoki , Tsuboi Masaya , Ikeda Namiko , Aoki Susumu , Iguchi Takaaki , Li Toshio , Kodera Yuka , Ota Ryosuke , Hashimoto Yuko , Takahashi Yosuke , Chambers James , Uchida Kazuyuki , Kato Yukinari , Nishimura Ryohei , Nakagawa Takayuki
Published: August 2023

Clinical information of dogs used for the survival analysis.
Supplementary Materials and Methods from Podoplanin Drives Amoeboid Invasion in Canine and Human Mucosal Melanoma
Authors: Shinada Masahiro , Kato Daiki , Motegi Tomoki , Tsuboi Masaya , Ikeda Namiko , Aoki Susumu , Iguchi Takaaki , Li Toshio , Kodera Yuka , Ota Ryosuke , Hashimoto Yuko , Takahashi Yosuke , Chambers James , Uchida Kazuyuki , Kato Yukinari , Nishimura Ryohei , Nakagawa Takayuki
Published: August 2023

Supplementary Materials and Methods
Supplementary Figure 8 from Podoplanin Drives Amoeboid Invasion in Canine and Human Mucosal Melanoma
Authors: Shinada Masahiro , Kato Daiki , Motegi Tomoki , Tsuboi Masaya , Ikeda Namiko , Aoki Susumu , Iguchi Takaaki , Li Toshio , Kodera Yuka , Ota Ryosuke , Hashimoto Yuko , Takahashi Yosuke , Chambers James , Uchida Kazuyuki , Kato Yukinari , Nishimura Ryohei , Nakagawa Takayuki
Published: August 2023

PDPN promotes tumor growth and amoeboid invasion in vivo.
Supplementary Figure 7 from Podoplanin Drives Amoeboid Invasion in Canine and Human Mucosal Melanoma
Authors: Shinada Masahiro , Kato Daiki , Motegi Tomoki , Tsuboi Masaya , Ikeda Namiko , Aoki Susumu , Iguchi Takaaki , Li Toshio , Kodera Yuka , Ota Ryosuke , Hashimoto Yuko , Takahashi Yosuke , Chambers James , Uchida Kazuyuki , Kato Yukinari , Nishimura Ryohei , Nakagawa Takayuki
Published: August 2023

ROCK inhibition leads to cell cycle arrest and cellular senescence.
Supplementary Figure 6 from Podoplanin Drives Amoeboid Invasion in Canine and Human Mucosal Melanoma
Authors: Shinada Masahiro , Kato Daiki , Motegi Tomoki , Tsuboi Masaya , Ikeda Namiko , Aoki Susumu , Iguchi Takaaki , Li Toshio , Kodera Yuka , Ota Ryosuke , Hashimoto Yuko , Takahashi Yosuke , Chambers James , Uchida Kazuyuki , Kato Yukinari , Nishimura Ryohei , Nakagawa Takayuki
Published: August 2023

ROCK inhibition suppresses features of amoeboid invasion.
Supplementary Figure 4 from Podoplanin Drives Amoeboid Invasion in Canine and Human Mucosal Melanoma
Authors: Shinada Masahiro , Kato Daiki , Motegi Tomoki , Tsuboi Masaya , Ikeda Namiko , Aoki Susumu , Iguchi Takaaki , Li Toshio , Kodera Yuka , Ota Ryosuke , Hashimoto Yuko , Takahashi Yosuke , Chambers James , Uchida Kazuyuki , Kato Yukinari , Nishimura Ryohei , Nakagawa Takayuki
Published: August 2023

Loss of PDPN leads to cell cycle arrest and cellular senescence.
Supplementary Figure 3 from Podoplanin Drives Amoeboid Invasion in Canine and Human Mucosal Melanoma
Authors: Shinada Masahiro , Kato Daiki , Motegi Tomoki , Tsuboi Masaya , Ikeda Namiko , Aoki Susumu , Iguchi Takaaki , Li Toshio , Kodera Yuka , Ota Ryosuke , Hashimoto Yuko , Takahashi Yosuke , Chambers James , Uchida Kazuyuki , Kato Yukinari , Nishimura Ryohei , Nakagawa Takayuki
Published: August 2023

PDPN regulates features of amoeboid invasion via the ROCK-MLC2 signaling.
Supplementary Figure 1 from Podoplanin Drives Amoeboid Invasion in Canine and Human Mucosal Melanoma
Authors: Shinada Masahiro , Kato Daiki , Motegi Tomoki , Tsuboi Masaya , Ikeda Namiko , Aoki Susumu , Iguchi Takaaki , Li Toshio , Kodera Yuka , Ota Ryosuke , Hashimoto Yuko , Takahashi Yosuke , Chambers James , Uchida Kazuyuki , Kato Yukinari , Nishimura Ryohei , Nakagawa Takayuki
Published: August 2023

PDPN overexpression in the invasion fronts (IFs) is associated with poor prognosis of dogs with mucosal melanoma.
Supplementary Data from Overlaid Transcriptional and Proteome Analyses Identify Mitotic Kinesins as Important Targets of Arylsulfonamide-Mediated RBM39 Degradation
Authors: Coomar Seemon , Mota Pedro , Penson Alexander , Schwaller Jürg , Abdel-Wahab Omar , Gillingham Dennis
Published: August 2023

eClip Scores
Supplementary Data Table 2 from Overlaid Transcriptional and Proteome Analyses Identify Mitotic Kinesins as Important Targets of Arylsulfonamide-Mediated RBM39 Degradation
Authors: Coomar Seemon , Mota Pedro , Penson Alexander , Schwaller Jürg , Abdel-Wahab Omar , Gillingham Dennis
Published: August 2023

Supplementary Data Table 2
Data from Podoplanin drives amoeboid invasion in canine and human mucosal melanoma
Authors: Shinada Masahiro , Kato Daiki , Motegi Tomoki , Tsuboi Masaya , Ikeda Namiko , Aoki Susumu , Iguchi Takaaki , Li Toshio , Kodera Yuka , Ota Ryosuke , Hashimoto Yuko , Takahashi Yosuke , Chambers James , Uchida Kazuyuki , Kato Yukinari , Nishimura Ryohei , Nakagawa Takayuki
Published: August 2023

Abstract
Mucosal melanoma metastasizes at an early stage of the disease in human and dog. We revealed that overexpression of podoplanin (PDPN) in tumor invasion fronts (IFs) was related to poor prognosis of dogs with mucosal melanoma. Moreover, PDPN expressed in canine mucosal melanoma cells promotes proliferation and aggressive amoeboid invasion by activating Rho-associated kinase (ROCK)-myosin light chain 2 (MLC2) signaling. PDPN-ROCK-MLC2 signaling plays a role in cell cycle arrest and cellular senescence escape as a mechanism for regulating proliferation. PDPN induces amoeboid invasion in the IFs of mouse xenografted tumor tissues, similar to canine mucosal melanoma clinical samples. We further identified that PDPN expression was related to poor prognosis of human patients with mucosal melanoma, and human mucosal melanoma with PDPN high expression enriched gene signatures related to amoeboid invasion, similar to canine mucosal melanoma. Overall, we propose that PDPN promotes canine and human mucosal melanoma metastasis by inducing aggressive amoeboid invasion and naturally occurring canine mucosal melanoma can be a novel research model for PDPN expressing human mucosal melanoma.
Implications: PDPN could be a new therapeutic target to restrict the metastatic dissemination of canine and human mucosal melanoma.
TABLE 1 from Integrative Prognostic Machine Learning Models in Mantle Cell Lymphoma
Authors: Hill Holly A. , Jain Preetesh , Ok Chi Young , Sasaki Koji , Chen Han , Wang Michael L. , Chen Ken
Published: August 2023

Characteristics of patients with MCL (n = 794)
Supplementary Table 3 from Integrative Prognostic Machine Learning Models in Mantle Cell Lymphoma
Authors: Hill Holly A. , Jain Preetesh , Ok Chi Young , Sasaki Koji , Chen Han , Wang Michael L. , Chen Ken
Published: August 2023

Missingness among Full Dataset Features
Supplementary Figure 4 from Integrative Prognostic Machine Learning Models in Mantle Cell Lymphoma
Authors: Hill Holly A. , Jain Preetesh , Ok Chi Young , Sasaki Koji , Chen Han , Wang Michael L. , Chen Ken
Published: August 2023

S4. Correlation Plot of Numeric Features
Supplementary Figure 3 from Integrative Prognostic Machine Learning Models in Mantle Cell Lymphoma
Authors: Hill Holly A. , Jain Preetesh , Ok Chi Young , Sasaki Koji , Chen Han , Wang Michael L. , Chen Ken
Published: August 2023

S3. Feature Importance from other XGBoost models
Supplementary Figure 1 from Integrative Prognostic Machine Learning Models in Mantle Cell Lymphoma
Authors: Hill Holly A. , Jain Preetesh , Ok Chi Young , Sasaki Koji , Chen Han , Wang Michael L. , Chen Ken
Published: August 2023

S1. Hyperparameter tuning of other XGBoost models
FIGURE 3 from Integrative Prognostic Machine Learning Models in Mantle Cell Lymphoma
Authors: Hill Holly A. , Jain Preetesh , Ok Chi Young , Sasaki Koji , Chen Han , Wang Michael L. , Chen Ken
Published: August 2023

Feature importance in the combined feature XGBoost models. A, The VIP for the top 20 features from the “all features” XGBoost model. B2M, beta-2 microglobulin; BM, bone marrow involvement; BMI, body mass index; dx, diagnosis; ECOG, Eastern Cooperative Oncology Group performance status; GI, gastrointestinal; Hgb, hemoglobin; LDH, lactase dehydrogenase; WBC, white blood cell count. B, SHAP additive values demonstrating feature impact on model output from the “all features” XGBoost model. Colors represent the value of the feature; note continuous features have a color gradient, while the dummy variables values of 0 and 1 separate into two groups “low and high”. C, The VIP for features that were included in the parsimonious model or iMIPI. The top 20 features were selected from the most important features from the “all features” model; 23 features are represented in the figure due to categorical variables being transformed into dummy variables during data preprocessing. D, SHAP values from the parsimonious model (iMIPI).
Circadian Clock Genes Are Regulated by Rhythmic Corticosterone at Physiological Levels in the Rat Hippocampus
Authors: Bering Tenna , Blancas-Velazquez Aurea Susana , Rath Martin Fredensborg
Published: August 2023

Introduction: In the hippocampus, clock gene expression is important for memory and mood; however, the signaling mechanism controlling clock gene expression in the hippocampus is unknown. Recent findings suggest that circadian glucocorticoid rhythms driven by the suprachiasmatic nucleus (SCN) control rhythmic clock gene expression in neurons; in addition, dexamethasone modulates hippocampal clock gene expression. We therefore hypothesized that oscillations of clock genes in the hippocampus could be driven by SCN-controlled circadian rhythms in glucocorticoids. Methods: Temporal profiles of hippocampal clock gene expression were established by quantitative reverse-transcription real-time PCR on rat hippocampi, while cellular distribution was established by in situ hybridization. To determine the effect of rhythmic glucocorticoids on hippocampal clock gene expression, the SCN was lesioned, adrenal glands removed and a 24 h exogenous corticosterone rhythm at physiological levels was reestablished by use of a programmable infusion pump. Results: Daily rhythms were detected for Per1, Per2, Bmal1, Nr1d1, and Dbp, while clock gene products were confirmed in both the hippocampus proper and the dentate gyrus. In sham controls, differential hippocampal expression of Per1 and Dbp between ZT3 and ZT15 was detectable. This rhythm was abolished by SCN lesion; however, reestablishing the natural rhythm in corticosterone restored differential rhythmic expression of both Per1 and Dbp. Further, a 6 h phase delay in the corticosterone profile caused a predictable shift in expression of Nr1d1. Conclusion: Our data show that rhythmic corticosterone can drive hippocampal clock gene rhythms suggesting that the SCN regulates the circadian oscillator of the hippocampus by controlling the circadian rhythm in circulating glucocorticoids.
Insights of 6G and artificial intelligence-based internet-of vehicle towards communication
Authors: Golla Madhusudhan , Narasimhalah Veena Kalludi , Puttappa Ajay Betur
Published: August 2023

The significance of internet-of-vehicle (IoV) is spontaneously increasing with exponentially rising demands towards transportation system and road safety. At present, there are various number of scientific approaches which is meant for leveraging the communication performance in IoV, but yet the problem still exists over multiple attributes e.g. resource management, privacy, security, and service offloading. Such problems are anticipated to be solved by 6G services that offers better communication capabilities compared to its prior version of 5G. At the same time, the quality of communication system can be enhanced by artificial intelligence (AI), which is capable of solving complex real-world problems. Therefore, this manuscript offers an insight towards strength and weakness of existing 6G based study model as well as AI-based solution in order to contribute towards highlighting an essential research gap that could directly offer better insight towards future planning towards improving communication in IoV.
Toddler monitoring system in vehicle using single shot detector mobilenet and single shot detector-inception on Jetson Nano
Authors: Quan Kok Jia , Sani Zamani Md , Ahmad Izzuddin Tarmizi Bin , Azizan Azizul , Ghani Hadhrami Abd
Published: August 2023

Road vehicles are today’s primary form of transportation; the safety of children passengers must take precedence. Numerous reports of toddler death in road vehicles, include heatstroke and accidents caused by negligent parents. In this research, we report a system developed to monitor and detect a toddler's presence in a vehicle and to classify the toddler's seatbelt status. The objective of the toddler monitoring system is to monitor the child's conditions to ensure the toddler's safety. The device senses the toddler's seatbelt status and warns the driver if the child is left in the car after the vehicle is powered off. The vision-based monitoring system employs deep learning algorithms to recognize infants and seatbelts, in the interior vehicle environment. Due to its superior performance, the Nvidia Jetson Nano was selected as the computational unit. Deep learning algorithms such as faster region-based convolutional neural network (R-CNN), single shot detector (SSD)- MobileNet, and single shot detector (SSD)-Inception was utilized and compared for detection and classification. From the results, the object detection algorithms using Jetson Nano achieved 80 FPS, with up to 82.98% accuracy, making it feasible for online and real-time in-vehicle monitoring with low power requirements
Productivity of incident management with conversational bots-a review
Authors: Iparraguirre-Villanueva Orlando , Obregon-Palomino Luz , Pujay-Iglesias Wilson , Sierra-Liñan Fernando , Cabanillas-Carbonell Michael
Published: August 2023

The use of conversational agents (bots) in information systems managed by company’s increases productivity in the development of activities focused on processes such as customer service, healthcare, and presentation. The present work is a systematic literature review that collects articles from 2019 to 2022 in the databases Scopus, Springer, Willey, Indexes-Csic, Taylor & Francis, Pubmed, and Ebsco Host. PRISMA methodology was used to systematize 47 relevant articles. As a result of the analysis, 2/19 very important benefits were obtained, which are: helping to obtain information and facilitating customer service; as for the types of conversational bots, a total of 9 types were found, of which conversational agents and chatbots with artificial intelligence (AI) are the most common; in the case of processes, 3/5 processes that optimize conversational bots were found, where the most prominent are: teaching process, health processes, and customer service processes. An architecture model for conversational bots in incident management is also proposed.