bluuebunny/crossref_metadata_2025_split huggingface dataset:
NCoR1 and SMRT Fine-Tune Inflammatory Versus Tolerogenic Balance in Dendritic Cells By Differentially Regulating STAT3 Signaling
Authors: Jha Atimukta , Ahad Abdul , Mishra Gyan Prakash , Sen Kaushik , Smita Shuchi , Minz Aliva P , Biswas Viplov Kumar , Tripathy Archana , Senapati Shantibhushan , Gupta Bhawna , Orbea Hans Acha , Raghav Sunil Kumar 
Published: January 2022

Abstract
Dendritic cell (DC) fine-tunes inflammatory versus tolerogenic responses to protect from immune-pathology. However, the role of co-regulators in maintaining this balance is unexplored. NCoR1-mediated repression of DC immune-tolerance has been recently reported. Here we found that depletion of NCoR1 paralog SMRT (NCoR2) enhanced cDC1 activation and expression of IL-6, IL-12 and IL-23 while concomitantly decreasing IL-10 expression/secretion. Consequently, co-cultured CD4+ and CD8+ T-cells depicted enhanced Th1/Th17 frequency and cytotoxicity, respectively. Comparative genomic and transcriptomic analysis demonstrated differential regulation of IL-10 by SMRT and NCoR1. SMRT depletion represses mTOR-STAT3-IL10 signaling in cDC1 by down-regulating NR4A1. Besides, Nfkbia and Socs3 were down-regulated in Ncor2 (Smrt) knockdown cDC1, supporting increased production of inflammatory cytokines. Moreover, studies in mice showed, adoptive transfer of SMRT knockdown cDC1 in OVA-DTH induced footpad inflammation led to increased Th1/Th17 and reduced tumor burden after B16 melanoma injection by enhancing oncolytic CD8+ T-cell frequency, respectively. We also depicted decreased Ncor2 expression in Rheumatoid Arthritis, a Th1/Th17 disease.
Design, Synthesis, and Docking Studies of Arylhydrazone Compounds and Evaluation of Their Platelet Aggregation Inhibitory Effect and Cytotoxicity
Authors: Klidsar Maryam H. , Esfahanizadeh Marjan , Haghverdi Pantea , Amidi Salimeh , Kobarfard Farzad 
Published: January 2022

Abstract
In view of proven antiplatelet activity of hydrazone group containing compounds, two series of hydrazone derivatives were synthesized by coupling appropriate aldehydes with phenyl hydrazine and Isonicotinic acid in the presence of distilled water and a catalytic amount of glacial acetic acid. All synthesized compounds were screened for their antiplatelet activity against induced aggregation by adenosine diphosphate (ADP) and arachidonic acid (AA). The results indicate that compounds in arylhydrazone group had shown satisfactory activity. Among them, 1-(3-methoxybenzylidene)-2-phenylhydrazine (1c), 2-methoxy-4-(2-phenylhydrazono) methyl phenol (1g), and 2-((2-phenylhydrazono) methyl)-1H-pyrrole (1h) were found to be the most potent antiplatelet compounds with IC50 less than 39 μM. Furthermore, the cell toxicity assay, (MTT test) indicates their noncytotoxic in various cell lines. None of the synthesized N-isonicotinohydrazide derivatives in this study excreted sufficient antiplatelet activity.
Electromechanical Coupling Characteristics Analysis and Research of Rotation-Parallel Flexible Robot Manipulator
Authors: xiao zhi , Zhang Wenhui 
Published: January 2022

Abstract
RP(Rotation-Parallel) flexible robot as a typical electromechanical system. The complex electromechanical coupling effect in the system has a significant impact on the dynamic characteristics and stability of the flexible manipulator. This article investigates the electromechanical coupling dynamics and vibration response characteristics of flexible robot manipulator driven by AC(Alternating Current) servo motor with considering the start-up dynamic characteristics of the motor. Firstly, the physical model including the coupling of electromagnetic and mechanical system is established, and the dynamic model of the whole system is derived based on the global electromechanical coupling effect and Lagrange-Maxwell equations. Secondly, the virtual simulation platform is constructed with the help of MATLAB/Simulink, and the output speed characteristics of the motor drive end and the motion of the moving base are analyzed. Finally, through the joint simulation of MATLAB/Simulink dynamic simulation model and ADAMS/Controls virtual prototype model, the vibration characteristics of flexible manipulator under electromechanical coupling are obtained. The result demonstrates that the electromechanical coupling effect at the motor driving end has an obvious influence on the dynamic characteristics of the flexible manipulator, which is manifested in the increase of the vibration displacement amplitude of the flexible manipulator. With the increase of motor speed, the change of elastic vibration of flexible manipulator becomes larger, which shows that the electromechanical coupling effect of motor driving end has a greater impact on the dynamic characteristics of flexible manipulator at high speed. The analysis results are of great significance to improve the dynamic performance of motor-driven flexible robot manipulator.
Using Variational Autoencoder to Develop and Validate a Compact, Deep Representation of Digital Clock Drawing Test for Classifying Dementia
Authors: Bandyopadhyay Sabyasachi , Dion Catherine , Libon David J. , Tighe Patrick , Price Catherine , Rashidi Parisa 
Published: January 2022

Abstract
The Clock Drawing Test (CDT) is an inexpensive tool to screen for dementia. In this study, we examined if a semi-supervised deep learning (DL) system using Variational Autoencoder (VAE) can extract atypical clock features from a large dataset of unannotated CDTs (n=13,580) and use them to classify dementia (n=18) from non-dementia (n=20) peers. The classification model built with VAE latent space features adequately classified dementia from non-dementia (0.78 Area Under Receiver Operating Characteristics (AUROC)). The VAE-identified atypical clock features were then reviewed by domain experts and compared with existing literature on clock drawing errors. This study shows that a semi-supervised deep learning (DL) analysis of the CDT can extract important clock drawing anomalies that are predictive of dementia.
Damage to School Buildings During the 2015 Nepal Earthquake and Reconstruction Strategy
Authors: Paudyal Youb Raj , Bhandary Netra Prakash 
Published: January 2022

Abstract
The 2015 Nepal Earthquake (Mw7.8) affected more than 9,000 schools in the country. Damage distribution in the 14 most-affected administrative districts shows that the construction practices were an important determent for the level of damage extended. Use of improper construction materials, lack of construction supervision, and non-compliance with the existing building codes during design and construction probably contributed to the severe damage of most of the school buildings. Preliminary damage assessment results show that in the most-affected districts, about 86% schools were affected by the earthquake and about one million students were out of their schools for a long time. The damage survey data indicate that about 30% classrooms collapsed, about 13% classrooms sustained major damage, and about 17% classrooms sustained minor damage within the 14 districts. Such evidence of loss and damage in the earthquake disasters provides an opportunity to learn lessons for the future preparedness and to encounter the disaster challenges. Based on the damage analysis data and experience of reconstruction process after the 2015 Nepal Earthquake, this paper highlights the steps to be considered during reconstruction strategy planning for school buildings after an earthquake disaster.
Geraniol Attenuates Oxidative Stress and Neuro-inflammation Mediated Cognitive Impairment in D‑galactose‑induced Mouse Aging Model
Authors: Rajendran Peramaiyan , Ammar Rebai Ben , Al-Saeedi Fatma J , AlRamadan Saeed Y. , Ismail Mohammad Bani , Veeraraghavan Vishnu Priya , Alamer Sarah Abdulaziz , Alawwad Nasir , Moqbel Mohammed Salem , Ahmed Emad A 
Published: January 2022

Abstract
D-galactose (D-gal) is a reducing sugar drug can induce artificial senescence and aging process that mimic natural aging along with the accompanying brain and liver injury in experimental animals. Therefore, chronic D-gal administration is widely used to induce cognitive impairment, Alzheimer disease and aging in rodents' models. Aging is a phenomenon in which oxidative stress and apoptosis play a vital role. Geraniol (GNL) belongs to the acyclic isoprenoid monoterpenes, presents in essential oils such as those from Cinnamomum tenuipilum and Valeriana officinalis. In the present study, we examined the effects of GNL on D-gal-induced oxidative stress and neuro-inflammation mediated memory loss in mice. Analyzing the behavioral differences between control and treated groups, including the elderly mice, revealed that GNL significantly improved memory in mice treated with D-gal-induced memory loss (supplementary videos are provided). The anti-inflammatory and the anti-oxidative role of GNL were confirmed by both histopathological investigations and biochemical analyses. Mechanistically, GNL appears to activate PI3K/Akt and thus upregulates the nuclear factor erythroid 2-related factor 2 (Nrf2) and the heme oxygenase 1 (HO-1) to reduce the oxidative stress and apoptosis induced after D-gal treatment leading to easing of neurological deficits and cognitive dysfunction in D-gal-induced aging mouse models. Accordingly, our comprehensive behavioral analysis and bioassays suggest GNL as a promising agent preventing cognitive impairment and neurological deficits associated with aging.
The AGT Epistasis Pattern Proposed a Novel Role for ZBED9 In Regulating Blood Pressure: Tehran Cardiometabolic Genetic Study (TCGS)
Authors: Akbarzadeh Mahdi , Riahi Parisa , Kolifarhood Goodarz , Lanjanian Hossein , Alipour Nadia , Bonab Leila Najd Hassan , Moghadas Mohammad Reza , Sabour Siamak , Azizi Fereidoun , Daneshpour Maryam S 
Published: January 2022

Abstract
Backgroung: Hypertension is typically considered as the leading risk factor for cardiovascular disease. Epistasis studies may add another layer of complexity to our understanding of the genetic basis of hypertension. Methods: A nested case-control design was used on 4214 unrelated Tehran Cardiometabolic Genetic Study (TCGS) adults to evaluate 65 SNPs of previously associated genes, including ZBED9, AGT, and TNXB. The integrated effect of each gene was determined using the Sequence-based Kernel Association Test (SKAT). We used model-based multifactor dimension reduction (Mb-MDR) and entropy-based gene-gene interaction (IGENT) methods to determine interaction and epistasis patterns. Results: The integrated effect of each gene has a statistically significant association with blood pressure traits (P-value < 0.05). Single-locus analysis identified two missense variants in ZBED9 (rs450630) and AGT (rs4762) that are associated with hypertension. In the ZBED9 gene, significant local interactions were discovered. The G allele in rs450630 showed an antagonistic effect on hypertension, but interestingly, IGENT analysis revealed significant epistasis effects for different combinations of ZBED9, AGT, and TNXB loci. Conclusion: We discovered a novel interaction effect between a significant variant in an essential gene for hypertension (AGT) and a missense variant in ZBED9, which has shifted our focus to ZBED9's role in blood pressure regulation.
Impact of gene polymorphisms on toxicity and response rate in head and neck squamous cell carcinoma: a literature review
Authors: abbaszadeh hamid , Rajabi-Moghaddam Mahdieh 
Published: January 2022

Abstract
Advanced head and neck squamous cell carcinoma (HNSCC) is treated with radiotherapy, chemotherapy, targeted therapy or a combination of these treatments. Variations in toxicity and response to therapy are observed among patients despite similar clinicopathologic characteristics which are attributed to single nucleotide polymorphisms (SNPs). The aim of this review was to evaluate the impact of SNPs on toxicity and response to therapy in HNSCCs. A web-based search of all original articles about the impact of gene polymorphisms on toxicity and response to therapy in HNSCCs was done until September 2021 using international English language databases including Google Scholar, Scopus, PubMed and Web of science. Findings were categorized by type of treatment (radiotherapy, chemotherapy, targeted therapy, or combination therapy). In each category, studies related to growth control genes, cell proliferation, apoptosis, DNA repair genes, antioxidant and drug detoxification genes, genes of drug metabolizing enzymes, tissue remodeling genes and genes of antibody-dependent cellular cytotoxicity were discussed separately. Among studied SNPs with probable impact on toxicity and response to therapy are XRCC1, XRCC3, RAD51, Ku70, NBN, CAT, GSTP1, GSTT1, GSTM1, XPD, XPC, ERCC1, MMP3, ACSL6, EXO1, CXP2D6, FcγRIIIa, AurkA, and EGFR. Understanding gene polymorphisms will help us move toward personalized medicine and determine which patients will actually benefit from therapies for HNSCCs. By examining the SNPs, it is possible to make predictions about the patient's response to treatment or development of toxicity after treatment, and if necessary, make changes in the patient's treatment regimen.
Bone Sarcoma Of The Pelvis: A Multicentric Retrospective Study Of One Hundred-Fourteen Cases
Authors: Nouri Habib , Makhlouf Hassan , Maitigue Mahmoud Ben , Hassini Lassaad , Msekni Ahmed , Mihoubi Maamoun , Triki Fakhreddine Elyes , Othman Youssef , Nfiss Mouadh , Bellil Mehdi , Mallat Youssef , Trigui Moez , Meddeb Khadija , Messai Taha 
Published: January 2022

Abstract
Background: The aim of this study was to assess the oncologic outcome of pelvic bone sarcomas (PBS) and to identify prognosis factors.Methods: We report a multicentric cohort of patients treated for a PBS from 2000 to 2020. Data from 12 hospitals were analysed. Patients treated for primary PBS were included. Alive patients with less than 6 months of follow up were excluded. The primary outcome was survival.Results: One hundred and fourteen patients (67 males and 48 females) were reviewed with a mean follow up of 32±46,5 (1 to 216) months. The mean patient and doctor diagnosis delays were respectively 8,5±10,2 (1 to 60) and 3±4,3 (0 to 24) months. Sixty-eight patients (59,6%) died after a mean time from diagnosis of 15,9±22,8 (1 to 120) months. The overall survival rates at 5 and 10 years were respectively 38,4% and 27,6%. Chondrosarcoma histological type (HR=3,64), metastasis (HR=3,55) and surgery (HR=0,12) were identified as significant survival factors. Surgery was also associated to a decreased risk of metastasis (OR=0,03, 95% CI: 0,01 – 0,1). Among the 76 patients (66,7%) who underwent surgery, local recurrence was observed in 19 patients (25%) with a mean time from surgery to onset of 11,05 (±17,5) months. Conclusions: This nation-wide20-year-cohort study shows that surgery is the most effective treatment option in PBS regardless the histological type of the tumour. Efforts have to be done to decrease the diagnosis delay in order to start treatment when surgery is still feasible.
EnGAN: Enhancement Generative Adversarial Network in Medical Image Segmentation
Authors: Deng Erqiang , Qin Zhiguang , Chen Dajiang , Qin Zhen , Ding Yi , Geng Ji , Zhang Ning 
Published: January 2022

Abstract
Deep learning has been widely used in medical image segmentation, although the accuracy is affected by the problems of small sample space, data imbalance, and cross-device differences. Aiming at such issues, a enhancement GAN network is proposed by using the domain transferring of the adversarial generation network to enhance the original medical images. Specifically, based on retaining the transferability of the original GAN network, a new optimizer is added to generate a sample space with a continuous distribution, which can be used as the target domain of the original image transferring. The optimizer back-propagates the labels of the supervised data set through the segmentation network and maps the discrete distribution of the labels to the continuous image distribution, which has a high similarity to the original image but improves the segmentation efficiency.On this basis, the optimized distribution is taken as the target domain, and the generator and discriminator of the GAN network are trained so that the generator can transfer the original image distribution to the target distribution. extensive experiments are conducted based on MRI, CT, and ultrasound data sets. The experimental results show that, the proposed method has a good generalization effect in medical image segmentation, even when the data set has limited sample space and data imbalance to a certain extent.
Design Thinking to Reinvent Values in a Business Model: a 4-Step Approach Using Ideation Virtual Tools
Authors: Mikelsone Elina , Uvarova Inga , Segers Jean-Pierre 
Published: January 2022

Abstract
The purpose of this paper is to create and test design thinking approach sequence, to redefine the value proposition. This paper suggests a 4-step systematic design thinking approach sequence to reinvent values in a business model, which was researched by a case study method. Based on the idea management approach the authors describe idea generation and evaluation processes by applying the design thinking approach and their possible moderation elements. Originality/value: a created approach could be applied by the organisations that would like to create new values or reinvent the existing ones in their business models value propositions.
Performance of The Decarboxylation Index To Predict CO2 Removal And Mechanical Ventilation Reduction Under VV-ECMO Or High-Flow ECCO2R
Authors: Laumon Thomas , Courvalin Elie , Dagod Geoffrey , Deras Pauline , Girard Mehdi , Martinez Orianne , Maury Camille , Weber Hugues , Capdevila Xavier , Charbit Jonathan 
Published: January 2022

Abstract
Background: Optimal decarboxylation dose under extracorporeal respiratory support to ensure sufficient reduction of mechanical ventilation stress remains unclear and understudied. The aim of this study was to assess the interdependence of blood flow (BF) and gas flow (GF) in predicting CO2 removal and mechanical ventilation reduction (MVR) under extracorporeal respiratory support. Methods: All patients who benefited from veno-venous ECMO (HLS-maquet 7.0, 1.8 m²) and high-flow ECCO2R (HLS-maquet 5.0, 1.3 m²) in our intensive care unit over a period of 18 months were included. CO2 removal was calculated from inlet/outlet blood gases performed in clinical practice during the first 7 days of oxygenator use. The relationship between the BF × GF product and CO2 removal or MVR was studied using linear regression models. Results: Eighteen patients were analysed, corresponding to 24 oxygenators and 261 datasets. CO2 removal was 393 mL/min (IQR, 310–526 mL/min) for 1.8 m2 oxygenators and 179 mL/min (IQR, 165–235 mL/min) for 1.3 m2 oxygenators. The decarboxylation index was associated linearly with CO2 removal (R2 = 0.62 and R2 = 0.77 for the two oxygenators, respectively) and MVR (R2 = 0.72 and R2 = 0.62, respectively). Values in the range 20−30L2/min2 were associated with an MVR ratio between 38% and 58% for 1.8 m2 oxygenators, and between 37% and 55% for 1.3 m2 oxygenators. Conclusion: The decarboxylation index is a simple parameter to predict CO2 removal and MVR under extracorporeal respiratory support. A BF of 2 L2/min2 or more may be necessary to obtain a significant reduction of mechanical convection.Trial Registration: Being a retrospective study, no trial registration was made.
SCM-198 Prevents Endometriosis By Reversing Low Autophagy Levels Of Endometriotic Stromal Cells Via Inhibiting TNF-Α-Aromatase-Estrogen-Erα Pathway And Promoting PR Expression
Authors: Lin Yikong , Li Yunyun , Li Yue , Li Dajin , Wang Xiaolin , Wang Li , Yu Min , Zhu Yizhun , Cheng Jiajing , Du Meirong 
Published: January 2022

Abstract
Background: Endometriosis (EMS), an estrogen-dependent disease, is characterized by dysregulated inflammation and increased estrogen in ectopic lesions. However, the crosstalk and pathogenic mechanism of inflammation and estrogen has not been fully explored. SCM-198 is the synthetic form of leonurine with multiple pharmacological activities. Whether SCM-198 could inhibit the progress of EMS by regulating inflammation and estrogen signaling remains unknown. Methods: The therapeutic effects and potential mechanisms of SCM-198 on EMS were analyzed by establishing EMS mice models and performing RNA-seq assay. ELISA was performed to detect estrogen and TNF-α concentration in normal endometrial stromal cells (nESCs) and ectopic endometrial stromal cells (eESCs), with or without SCM-198 treatment. Western blotting, RNA silencing and plasmid overexpression were utilized to analyze the relationship among inflammation, endocrine and autophagy as well as the regulation of SCM-198 on inflammation-endocrine-autophagy axis. Results: Increased estrogen-ERα signaling and decreased PR expression co-led to the hypo-autophagy state in eESCs, which further inhibited the apoptosis of eESCs. Highly expressed TNF-α in eESCs enhanced low-autophagy mediated anti-apoptosis effect by activating aromatase-estrogen-ERα signaling. SCM-198 inhibited the growth of ectopic lesions in EMS mouse model and promoted the apoptosis of eESCs both in vivo and in vitro. The apoptosis effect of SCM-198 on eESCs were realized by upregulating the autophagy level via inhibiting TNF-α activated aromatase-estrogen-ERα signaling and increasing PR expression. Conclusion: Inflammation facilitated the progress of EMS by disturbing estrogen regulatory axis. SCM-198 restrained the growth of EMS by regulating inflammation-endocrine-autophagy axis.
Optimization of Spatial Resolution and Image Reconstruction Parameters for the Small-Animal MetisTM PET/CT System
Authors: Zhao Jie , Liu Qiong , Li Chaofan , Song Yunfeng , Zhang Ying , Jose Mejia , Chen Jyh-Cheng 
Published: January 2022

Abstract
The aim of this study was to investigate the optimization of spatial resolution and image reconstruction parameters related to image quality in an iterative reconstruction algorithm for the small-animal MetisTM PET/CT system. We used a homemade Derenzo phantom to evaluate the image quality by visual assessment, signal-to-noise ratio, contrast, coefficient of variation, and contrast-to-noise ratio of the 0.8 mm hot rods of 8 slices in the centre of the phantom PET images. A healthy mouse study was performed to analyze the influence of optimal reconstruction parameters and Gaussian post-filter FWHM. In the phantom study, the best image quality was obtained by placing the phantom at one end, keeping the central axis parallel to X-axis of the system, selecting iterations between 30 and 40, with a reconstruction voxel of 0.314 mm and a Gaussian post-filter FWHM of 1.57 mm. The optimization of spatial resolution can reach 0.6-mm. In the animal study, it was suitable to choose a voxel size of 0.472-mm, iterations between 30 and 40, and 2.36-mm Gaussian post-filter FWHM. Our results indicate that optimal imaging conditions and reconstruction parameters are necessary to obtain high-resolution images and quantitative accuracy, especially for the high-precision identification of tiny lesions.