bluuebunny/crossref_metadata_2025 huggingface dataset:
80 Cancer testis antigen burden: A novel predictive biomarker for immunotherapy in solid tumors
Authors: Pabla Sarabjot , Seager RJ , Lee Yong Hee , Roey Erik Van , Gao Shuang , Giamo Vincent , Burgher Blake , DePietro Paul , Nesline Mary , Glenn Sean , Zhang Shengle , Conroy Jeffrey
Published: November 2021

Background

When expressed in cancer cells, cancer testis antigens (CTAs) are highly immunogenic and have the capacity to elicit cancer-specific immune responses in diverse malignancies. With their expression limited to tumor cells, CTAs have become a prime target of natural T cell response, immune cell-based therapy, and cancer vaccines. In this study, we investigated CTA burden in real-world clinical tumors spanning multiple histologies, revealing a novel prognostic gene expression-based biomarker.

Methods

Targeted RNA-seq was performed on 5450 FFPE tumors representing 39 histologic types, predominantly composed of lung cancer (40.4%) followed by colorectal cancer (10.6%) and breast cancer (8.6%). Using an amplicon-based NGS approach, expression levels of 17 CTA genes were ranked against a reference population. Cancer Testis Antigen Burden (CTAB) was calculated as the sum of the gene expression rank for each CTA gene. The median CTAB of ≥171 was used as cutoff for CTAB High versus Low classification. We estimated Pearson’s correlation for all CTA genes to discover co-expression patterns between CTAs and histologies. Overall survival (OS) analysis was performed using CoxPh regression model whereas response analysis was performed using logistic regression model with p-values reported.

Results

Within the tumor samples, CTAB values ranged from 0–1700, with kidney cancer demonstrating overall lowest mean CTAB (110) and melanoma the highest (550). NSCLC had an average CTAB of 283. In an immune checkpoint blockade treated retrospective cohort of 110 NSCLC patients, High CTAB showed better OS compared to Low CTA (HR: 0.55, p=0.07). Additionally, when combined with tumor inflammation and cell proliferation biomarkers, highly inflamed but poorly proliferative tumors with High CTAB had improved OS (HR: 0.27, p=0.05). No significant association with response was detected

Conclusions

Our studies show that co-expression of multiple CTA genes occurs in many tumor types and can be reliably detected using a targeted RNA-seq approach. Utilization of this co-expression pattern to calculate CTAB reveals tumor-type associated signatures, which in a small NSCLC cohort is associated with the overall survival. The findings suggest that these immunogenic antigens expose the tumor cells to natural or immunotherapy augmented cell-based immune response, and that CTAB is a potential predictive marker for therapeutic response to checkpoint inhibitors. Further studies are needed to establish the predictive value in other tumor types, as well as the role of CTAB in immune cell therapies and vaccinations.
229 CX3CR1 in exhausted CD8 T cell states
Authors: Chaudhri Apoorvi , Wang Yunfei , Hung Shao-Hsi , Lizee Gregory , Andrian Ulrich Von , Hwu Patrick , Freeman Gordon
Published: November 2021

Background

Cancer has chronic antigen exposure that results in a suppressed CD8 T cell state termed exhaustion. An outcome of anti PD-1 blockade therapy is the expansion of early exhausted CD8+ T cells into a terminally differentiated exhausted state. The reversal of this transcriptionally plastic yet epigenetically fixed state of CD8 T cell exhaustion has the potential to increase responses to anti PD-1 therapy.

Methods

CX3CR1 is a marker of CD8 T cell activation, effector function however less is known about the contribution of CX3CR1 in CD8 T cell exhaustion. We identified three distinct subsets of CD8+ tumor infiltrating lymphocytes (TILs) based on high, mid, and negative CX3CR1 expression in a mouse model of colon carcinoma.

Results

The CX3CR1 high CD8+ T cells are more exhausted with higher PD1+TIM3+ expression compared to CX3CR1 mid and CX3CR1 negative cells thereby representing the terminal state of CD8 T cell exhaustion. Moreover, CX3CR1 high CD8 T cells increase following anti PD-1 blockade, and their abundance is associated with a positive response to anti PD-1.

Conclusions

We identify a consequence of CX3CR1 in terminal T cell exhaustion, and our work can offer strategies to increase responses to anti PD-1.

Ethics Approval

Animal experiments were performed as per the IACUC regulations at the Dana Farber cancer Institute, and the MD Anderson Cancer Center
291 Dual-specific antibodies blocking both PD-L1 and PD-L2 engagement of PD-1 restore anti-tumor immunity
Authors: Couillault Coline , Srinivasamani Anupallavi , Hedge Shweta , Liu Qinying , Jaiswal Ashwin , Zha Dongxing , Curran Michael
Published: November 2021

Background

Inhibition of T cell activation and effector function via engagement of the co-inhibitory receptor PD-1 is a critical mechanism enabling tumors to evade host immunity. The two ligands for PD-1, PD-L1 and PD-L2, can be expressed by a variety of immunosuppressive stromal cells, particularly of the myeloid lineage, endothelial cells, and by tumors themselves. In addition to PD-1, PD-L1 engages B7-1 in an additional co-inhibitory interaction. Blocking only PD-1 or only PD-L1 thus does not relieve all inhibitory components of this pathway. We hypothesized that bispecific antibodies blocking both PD-L1 and PD-L2 could more fully restore tumor-specific T cell activation and potentiate anti-cancer immunotherapy. Furthermore, we speculated that enhancing the cytotoxic effector function of these antibodies might further enhance their efficacy through the depletion of tumor cells and supportive stroma.

Methods

We investigated the capacity of monoclonal antibodies capable of bivalent binding to both PD-L1 and PD-L2 to restore the function of PD-1-suppressed T cells in vitro. To assess the in vivo therapeutic efficiency of bispecific PD-Ligand antibodies with ADCC capacities, mouse IgG2a and modified human IgG1 versions were generated. We assessed their ADCC activity in vitro using a bioluminescent reporter assay, and their therapeutic efficiency in vivo in syngeneic or human-cell derived tumors.

Results

The bispecific antibodies we generated restore the function of PD-1-suppressed T cells in vitro with equivalent efficiency to the FDA approved PD-1 antibody Pembrolizumab. Moreover, our modified human bispecific antibodies lead to significantly higher FcγRIIa activation than FDA-approved clinical human IgG1 PD-L1 antibodies in vitro. In vivo, ADCC-capable PD-Ligand bispecific antibodies suppress the growth of U2940 lymphoma in immunodeficient mice more efficiently than Rituximab, and in a syngeneic model of PD-L1/PD-L2 double positive colon carcinoma, these antibodies demonstrate superiority to PD-1 blocking antibodies to limit tumor growth and increase survival. Furthermore, treatment with our bispecific antibodies increases T cell proliferation and cytotoxicity and reduces density of immunosuppressive myeloid stroma in vivo.

Conclusions

ADCC-capable PD-Ligand bispecific antibodies display higher therapeutic potential than existing anti-PD-1 antibodies and represent a new class of PD-1 pathway therapeutics with significant potential for the treatment of a variety of human cancers.

Acknowledgements

I would like to thank Anupallavi Srinivasamani, PhD student in Michael Curran’s lab, who performed a considerable amount of the work on this project before I joined.
309 Visualizing the immunotherapy-induced spatial reorganization of the tumor-immune microenvironment by CODEX multiplex imaging
Authors: Medrano Ruan , Han Fei , Cheikh Bassem Ben , Leinert Patrick , Leinert Wm Pat , Braubach Oliver , Schreiber Robert
Published: November 2021

Background

Tumors contain spatially organized microenvironments in which the location and composition of the cellular components ultimately determine tumor fate. We previously characterized CD45+ cells infiltrating T3 sarcomas using complementary forms of high-dimensional profiling (scRNAseq and CyTOF) and identified key immune cell populations that became associated either with growing tumors in mice treated with control antibody (cmAb) or rejecting tumors in mice treated with immune-checkpoint therapy (ICT) i.e., anti-PD-1 and/or anti-CTLA-4. To better understand the effects of the intratumoral immune cell populations on one another and on the tumor itself, we used CODEX multiplex imaging to simultaneously characterize expression of 35 distinct immune cell markers on tumor tissue sections thereby maintaining the spatial relationships between effector cells and their cognate tumor cell targets

Methods

T3 tumor bearing syngeneic mice were treated with cmAb or a-PD-1/a-CTLA-4 on days 6,9 and 12, harvested on different days, fresh frozen, cut in 8µM sections, transferred to coverslips, and stained with a panel of commercially available and custom-made CODEX antibodies following optimized staining conditions using the manufacturer’s protocol. Whole tumor tissue raw TIFF images were subjected to an image processing pipeline developed by Akoya Biosciences, Inc, where dapi+ cells used for cell segmentation by the Startdist method. Unsupervised clustering using Scanpy toolkit based on normalized marker expression profiles identified and validated 12 unique cell clusters

Results

When compared to the cmAb group, a-PD-1/a-CTLA-4 tumors harvested on day 10 displayed a marked increase in percentage as well as density of CD4+ and CD8+ T cells, Ly6G neutrophils, MHC-II+cd11c+cd24+DCs and a decrease of CD140a+ tumor cells. Spatial analysis indicated statistically significant differences in the organization of these cell types upon treatment with a-PD-1/a-CTLA-4 compared to cmAb treatment. Specifically, immune cells were found at the border of the tumor in cmAb treated mice and heavily infiltrated tumors following ICT. Neighborhood identification analysis revealed changes in the composition of the main neighborhood clusters, of which the top three clusters present in cmAb treated tumors (macrophage, tumor, and other immune cells) were substituted by clusters of CD4+ and CD8+ T cells, neutrophils, and macrophages.

Conclusions

These results not only confirm the remodeling of both the lymphoid and myeloid compartments previously observed with scRNAseq and CyTOF but also suggest that changes in the spatial organization of immune cells are drivers of the tumor rejection process upon treatment with ICT.
Clinical ethics support services during the COVID-19 pandemic in the UK: a cross-sectional survey
Authors: Dittborn Mariana , Cave Emma , Archard David
Published: November 2021

Background

The COVID-19 pandemic highlighted the need for clinical ethics support provision to ensure as far as possible fair decision making and to address healthcare workers’ moral distress.

Purpose

To describe the availability, characteristics and role of clinical ethics support services (CESSs) in the UK during the COVID-19 pandemic.

Method

A descriptive cross-sectional online survey was developed by the research team. The survey included questions on CESSs characteristics (model, types of support, guidance development, membership, parent and patient involvement) and changes in response to the pandemic. Invitations to participate were widely circulated via National Health Service institutional emails and relevant clinical ethics groups known to the research team.

Results

Between October 2020 and June 2021, a total of 53 responses were received. In response to the pandemic, new CESSs were established, and existing provision changed. Most took the form of clinical ethics committees, groups and advisory boards, which varied in size and membership and the body of clinicians and patient populations they served. Some services provided moral distress support and educational provision for clinical staff. During the pandemic, services became more responsive to clinicians’ requests for ethics support and advice. More than half of respondents developed local guidance and around three quarters formed links with regional or other local services. Patient and/or family members’ involvement in ethics discussions is infrequent.

Conclusions

The pandemic has resulted in an expansion in the number of CESSs. Though some may disband as the pandemic eases, the reliance on CESSs during the pandemic demonstrates the need for additional research to better understand the effectiveness of their various forms, connections, guidance, services and modes of working and for better support to enhance consistency, transparency, communication with patients and availability to clinical staff.
Predictors of unfavorable outcome in stent-assisted coiling for symptomatic unruptured intracranial spontaneous vertebral artery dissecting aneurysms (uis-VADAs): results from a multicenter study
Authors: Zhao Kaijun , Zhao Rui , Yang Xinjian , Guan Sheng , Liang Guobiao , Wang Hong-Lei , Wang Donghai , Feng Wenfeng , Li Zhenbao , Wang Weiwei , Peng Ya , Xu Jing , Wang Lei , Zhong Ming , Mao Guohua , Li Tianxiao , Zhang Yang , Chen Dong , Cai Chuwei , Sun Xiaochuan , Shi Huaizhang , Yu Jianjun , Wang Yang , Gu Zhen , Zhu Gang , Zhu Qing , Wan Jieqing , Li Qiuping , Yang Hua , Li Gang , Chai Erqing , Li Qiang , Yang Pengfei , Fang Yibin , Dai Dongwei , Hong Bo , Huang Qinghai , Xu Yi , Liu Jianmin , Xu Jinyu
Published: November 2021

Objective

To evaluate predictors of unfavorable outcome in stent-assisted coiling for symptomatic unruptured intracranial spontaneous vertebral artery dissecting aneurysms (uis-VADAs) based on 608 reconstructed lesions in 30 medical centres.

Methods

A total of 608 patients (male:female=479:129; mean age, 53.26±10.26 years) with 608 symptomatic uis-VADAs underwent reconstructive treatments using stent(s) with coils between January 2009 and December 2015. Treatments and predictors of unfavorable outcomes were retrospectively analyzed.

Results

Mainly, three methods were used to treat patients with uis-VADAs, including routine single-stent in 208 patients (such as Enterprise and others), new low-profile LVIS single stent in 107 patients, and multiple stents in 293 patients. During the median 66 months of clinical follow-up, 14 patients died, and 16 of the remaining 594 survivors had unfavorable outcomes (modified Rankin Scale score 3–5). The overall mortality rate was 2.3% (14/608), and the unfavorable outcome (mRS score 3–6) rate was 4.9% (30/608). Multivariate logistic regression analysis indicated that preprocedural ischemic infarctions (OR=3.78; 95% CI 1.52 to 9.40; p<0.01), diabetes mellitus (OR=3.74; 95% CI 1.31 to 10.68; p=0.01), and procedural complications (OR=14.18; 95% CI 5.47 to 36.80; p<0.01) were predictors of unfavorable outcome in the reconstructed VADAs.

Conclusions

This multicenter study indicated that preprocedural ischemic infarctions, diabetes mellitus, and procedural complications were related to unfavorable clinical outcomes in the reconstructed uis-VADAs.
Abnormal Quantum State Search Based on Parallel Phase Comparison
Authors: Xu Guanlei , Xu Xiaogang , Wang Xiaotong
Published: November 2021

We discuss the problem of filtering out abnormal states from a larger number of quantum states. For this type of problem with [Formula: see text] items to be searched, both the traditional search by enumeration and classical Grover search algorithm have the complexity about [Formula: see text]. In this letter a novel quantum search scheme with exponential speed up is proposed for abnormal states. First, a new comprehensive quantum operator is well-designed to extract the superposition state containing all abnormal states with unknown number [Formula: see text] with complexity [Formula: see text] in probability 1 via well-designed parallel phase comparison. Then, every abnormal state is achieved respectively from [Formula: see text] abnormal states via [Formula: see text] times’ measurement. Finally, a numerical example is given to show the efficiency of the proposed scheme.
ELECTRICITY CONSUMPTION, TRADE OPENNESS AND ECONOMIC GROWTH IN DEVELOPING COUNTRIES: A DISAGGREGATED APPROACH
Authors: EHIGIAMUSOE KIZITO UYI , BABALOLA SIKIRU JIMOH
Published: November 2021

This study examines the relationship between electricity consumption, trade openness and economic growth in 25 African countries during 1980–2016. It disaggregates electricity into renewable and non-renewable and disaggregates trade into exports and imports. It employs cointegration and Granger causality techniques that enable us to determine both joint and individual causality, as well as account for individual heterogeneity and cross-sectional dependence. It also uses the variance decompositions (VDs) and impulse response functions (IRFs). This study shows a short-run and long-run joint causality from electricity and trade to growth, as well as a short-run and long-run joint causality from trade and growth to electricity. Besides, the Dumitrescu–Hurlin Granger non-causality technique shows a bidirectional causality between electricity and growth and between trade and growth but a unidirectional causality from electricity to trade. It also reveals the causal relationships from exports, imports, renewable and non-renewable electricity to growth. This study implies that electricity consumption and trade openness stimulate growth, while the latter also determines electricity consumption and trade openness. Based on the findings, we recommend some policy options.
Suitability of surficial media for Ni–Cu–PGE exploration in an established mining camp: a case study from the South Range of the Sudbury Igneous Complex, Canada
Authors: Hashmi Sarah , Leybourne Matthew I. , Hamilton Stewart , Layton-Matthews Daniel , McClenaghan M. Beth
Published: November 2021

A geochemical study over the southwestern part of the South Range of the Sudbury Igneous Complex was completed to assess the suitability of surficial media (humus, B-horizon soil and C-horizon soil) for delineating geochemical anomalies associated with Ni–Cu–PGE (platinum group element) mineralization. Another objective was to test whether Na pyrophosphate can eliminate the effects of anthropogenic contamination in humus. Results of this study suggest that the natural geochemical signature of humus is strongly overprinted by anthropogenic contamination. Despite no indication of underlying or nearby mineralization, metal concentrations in humus samples by aqua regia collected downwind from smelting operations are higher compared to background, including up to 13 times higher for Pt, 12 times higher for Cu and nine times higher for Ni. The high anthropogenic background masks the geogenic signal such that it is only apparent in humus samples collected in the vicinity of known Ni–Cu–PGE deposits. Results of this study also demonstrate that anthropogenically derived atmospheric fallout also influences the upper B-horizon soil; however, lower B-horizon soil (at >20 cm depth) and C-horizon soil (both developed in till) are not affected. Glacial dispersal from Ni–Cu–PGE mineralization is apparent in C-horizon till samples analysed in this study. Compared to the background concentrations, the unaffected C-horizon till samples collected immediately down-ice of the low-sulfide, high precious metal Vermilion Cu–Ni–PGE deposit are enriched over 20 times in Pt (203 ppb), Au (81 ppm) and Cu (963 ppm), and over 30 times in Ni (1283 ppm).

Supplementary material:
supplementary tables and figures are available at
https://doi.org/10.6084/m9.figshare.c.5691080
Moisture in Textiles
Authors: Duprat C.
Published: November 2021

The interactions of textiles with moisture have been thoroughly studied in textile research, while fluid mechanists and soft matter physicists have partially investigated the underlying physics phenomena. A description of liquid morphologies in fibrous assemblies allows one to characterize the associated capillary forces and their impact on textiles, and to organize their complex moisture transport dynamics. This review gathers some of the common features and fundamental mechanisms at play in textile–liquid interactions, with selected examples ranging from knitted fabrics to nonwoven paper sheets, associated with experiments on model systems.
Treatment of Delirium During Critical Illness
Authors: Prendergast Niall T. , Tiberio Perry J. , Girard Timothy D.
Published: November 2021

Delirium, an acute disturbance in mental status due to another medical condition, is common and morbid in the intensive care unit. Despite its clear association with multiple common risk factors and important outcomes, including mortality and long-term cognitive impairment, both the ultimate causes of and ideal treatments for delirium remain unclear. Studies suggest that neuroinflammation, hypoxia, alterations in energy metabolism, and imbalances in multiple neurotransmitter pathways contribute to delirium, but commonly used treatments (e.g., antipsychotic medications) target only one or a few of these potential mechanisms and are not supported by evidence of efficacy. At this time, the optimal treatment for delirium during critical illness remains avoidance of risk factors, though ongoing trials may expand on the promise shown by agents such as melatonin and dexmedetomidine.
Multiplexed Ion Beam Imaging: Insights into Pathobiology
Authors: Liu Candace C. , McCaffrey Erin F. , Greenwald Noah F. , Soon Erin , Risom Tyler , Vijayaragavan Kausalia , Oliveria John-Paul , Mrdjen Dunja , Bosse Marc , Tebaykin Dmitry , Bendall Sean C. , Angelo Michael
Published: November 2021

Next-generation tools for multiplexed imaging have driven a new wave of innovation in understanding how single-cell function and tissue structure are interrelated. In previous work, we developed multiplexed ion beam imaging by time of flight, a highly multiplexed platform that uses secondary ion mass spectrometry to image dozens of antibodies tagged with metal reporters. As instrument throughput has increased, the breadth and depth of imaging data have increased as well. To extract meaningful information from these data, we have developed tools for cell identification, cell classification, and spatial analysis. In this review, we discuss these tools and provide examples of their application in various contexts, including ductal carcinoma in situ, tuberculosis, and Alzheimer's disease. We hope the synergy between multiplexed imaging and automated image analysis will drive a new era in anatomic pathology and personalized medicine wherein quantitative spatial signatures are used routinely for more accurate diagnosis, prognosis, and therapeutic selection.
Extrachromosomal DNA: An Emerging Hallmark in Human Cancer
Authors: Wu Sihan , Bafna Vineet , Chang Howard Y. , Mischel Paul S.
Published: November 2021

Human genes are arranged on 23 pairs of chromosomes, but in cancer, tumor-promoting genes and regulatory elements can free themselves from chromosomes and relocate to circular, extrachromosomal pieces of DNA (ecDNA). ecDNA, because of its nonchromosomal inheritance, drives high-copy-number oncogene amplification and enables tumors to evolve their genomes rapidly. Furthermore, the circular ecDNA architecture fundamentally alters gene regulation and transcription, and the higher-order organization of ecDNA contributes to tumor pathogenesis. Consequently, patients whose cancers harbor ecDNA have significantly shorter survival. Although ecDNA was first observed more than 50 years ago, its critical importance has only recently come to light. In this review, we discuss the current state of understanding of how ecDNAs form and function as well as how they contribute to drug resistance and accelerated cancer evolution.
The Effect of Acute Kidney Injury on TGF-β1 and Smad3 in Patients with Coronary Heart Disease after Off-Pump Coronary Artery Bypass Grafting
Authors: Xu Shu , Tao Deng-shun
Published: November 2021

Background. Acute kidney injury (AKI) is one of the most common and serious complications for coronary disease (CAD) patients, suffering from coronary artery bypass surgery (CABG). AKI occurs in nearly 30% of cardiac surgery patients, including CABG patients, affecting renal function, prolonging hospitalization time, and increasing all-cause mortality. TGF-β1 and Smad3 are sensitive biomarkers in evaluating kidney function. Therefore, comparing the TGF-β1 and Smad3 levels between the AKI patients and non-AKI patients after CABG surgery might have an important significance for identifying the risk degree of AKI and applying effective preventive measures after CABG surgery. Objective. This study aims at comparing the TGF-β1 and Smad3 levels between the AKI patients and non-AKI patients after CABG surgery to identify the risk degree of AKI and apply effective preventive measures after CABG surgery in clinics. Materials and Methods. A total of 25 proper patients, diagnosed as coronary disease (CAD) and undergoing AKI after CABG, were selected as the AKI group. The 25 participants, who did not suffer from AKI after CABG, were recruited using the case-control matching method in SPSS 25.0 software as the non-AKI group. Also, corresponding surgical specimens (tissues) and samples of blood were collected from them. Histopathological analysis and immunofluorescent microscopy of lesion artery and kidney of patients, who have been treated with kidney transplants, were performed on surgical specimens to find the pathological and histological change difference between the two groups. RT-PCR and Western blot were conducted to quantify the levels of TGF-β1 and Smad3 expression in serum for the patients of AKI and non-AKI groups, respectively. Results. Serious renal fibrosis was noted in patients of the AKI group. In addition, by H&E staining of the lesion artery, severe histopathological changes including smooth muscles proliferation with endothelial cell infiltration, focal degeneration and disruptions, and less collagen accumulation were found in the lesion artery of patients from the AKI group. Higher levels of TGF-β1 and Smad3 were observed in serum of patients of the AKI group. Conclusion: The increased levels of TGF-β1 and Smad3 in serum might be risk factors for triggering AKI for CAD patients undergoing CABG.
Multimodal MRI Analysis of Cervical Cancer on the Basis of Artificial Intelligence Algorithm
Authors: Wang Bin , Zhang Yuanyuan , Wu Chunyan , Wang Fen
Published: November 2021

The purpose of this study is to explore the application value of artificial intelligence algorithm in multimodal MRI image diagnosis of cervical cancer. Based on the traditional convolutional neural network (CNN), an artificial intelligence 3D-CNN algorithm is designed according to the characteristics of cervical cancer. 70 patients with cervical cancer were selected as the experimental group, and 10 healthy people were selected as the reference group. The 3D-CNN algorithm was applied to the diagnosis of clinical cervical cancer multimodal MRI images. The value of the algorithm was comprehensively evaluated by the image quality and diagnostic accuracy. The results showed that compared with the traditional CNN algorithm, the convergence rate of the loss curve of the artificial intelligence 3D-CNN algorithm was accelerated, and the segmentation accuracy of whole-area tumors (WT), core tumor areas (CT), and enhanced tumor areas (ET) was significantly improved. In addition, the clarity of the multimodal MRI image and the recognition performance of the lesion were significantly improved. Under the artificial intelligence 3D-CNN algorithm, the Dice values of WT, ET, and CT regions were 0.78, 0.71, and 0.64, respectively. The sensitivity values were 0.92, 0.91, and 0.88, respectively. The specificity values were 0.93, 0.92, and 0.9 l, respectively. The Hausdorff (Haus) distances were 0.93, 0.92, and 0.90, respectively. The data of various indicators were significantly better than those of the traditional CNN algorithm (

P

 < 0.05). In addition, the diagnostic accuracy of the artificial intelligence 3D-CNN algorithm was 93.11 ± 4.65%, which was also significantly higher than that of the traditional CNN algorithm (82.45 ± 7.54%) (

P

 < 0.05). In summary, the recognition and segmentation ability of multimodal MRI images based on artificial intelligence 3D-CNN algorithm for cervical cancer lesions were significantly improved, which can significantly enhance the clinical diagnosis rate of cervical cancer.
Dynamic Mathematical Model of Information Spreading on News Platform
Authors: Song Guohui , Wang Yongbin , Li Yugang
Published: November 2021

In recent years, the news platform has become the primary source of information for users. However, there are few studies on the news platform, especially for the analysis and modeling of the spreading process of information. This article models the dynamic process of information spreading on the news platform. Firstly, we analyze the dynamic characteristics of user state and information value. Users of news platforms have two states, active and silent states, and users can switch between these two states. The information value determines the probability of user state conversion. We construct the mathematical model for the dynamic features of user state and information value considering these characteristics. Then, with appropriate parameter assumptions, simulation experiments are performed to analyze the regularity of information spreading. The results of the experiment show that the user’s reading speed 1/rand the conversion probabilityp(α,β,t) are important indicators that affect user state conversion. The lower reading speed and higher conversion probability can improve the transformation of the user state. Furthermore, we present some applications to promote information spreading, such as assessing the effectiveness of information spreading and controlling rumors on news platforms. Finally, we analyzed the effect of its information dissemination by taking Toutiao as an example and confirmed that the visibility and quality of information are important factors that affect information spreading. The experiments and analysis show that the dynamic mathematical model can reflect the information spreading in different situations with different parameters on the news platform.
A Pilot Study on Nanotherapy of Momordica charantia against Trimethyltin Chloride-Induced Neurotoxicity in Danio rerio (Zebrafish)
Authors: Kumar Bharathi , Tharumasivam Siva Vijayakumar , Boominathan Vasuki , Perumal Elumalai , Dhandapani Prabu , Kaliyaperumal Kumaravel , Arumugam Suresh , Subramanian Kumaran , Renuga Pugazhvendan Sampath , Shakthivel Vasanth , Giridharan Bupesh , Aruni Wilson , Boopathy Lokesh Kumar
Published: November 2021

Background. The direct or indirect effect of chemicals on the nervous system of humans or animals is referred to as neurotoxicity. Trimethyltin chloride (TMT) intoxication causes behavioral and cognitive deficiencies in humans and experimental animals. TMT has long been used as a model toxicant in the study of central nervous system (CNS) toxicity. Momordica charantia, which is used in traditional herbal medicine, has a variety of pharmacological functions. Mesoporous silica nanoparticles have a higher loading capacity, are less dense, and have a larger specific area. Objectives. To investigate a possible nanotherapy for Alzheimer’s disease caused by trimethyltin chloride in freshwater zebrafish. Methods. An aqueous extract of M.charantia was used to perform the primary and secondary screening. The DPPH (2,2-diphenyl-1-picrylhydrazyl) radical scavenging assay was used to determine the antioxidant capacity of crude aqueous extracts of M. charantia. Mesoporous silica nanoparticles are made using a CTAB surfactant chemical process and tetraethyl orthosilicate. UV-Vis spectroscopy, Fourier transform infrared spectroscopy, scanning electron microscope, and EDAX were used to characterize it. Danio rerio was used to test the trimethyltin chloride for Alzheimer’s disease. The M. charantia and mesoporous silica nanoparticles were then tested in the same method. Results. The extract has no adverse effects on zebrafish, indicating that M. charantia is safe for human consumption. The histopathological findings indicate that the tissues of the fish infected with the extract had no pathological modifications. Conclusion. The M. charantia showed higher antioxidant activity and anticholinesterase activity, and upon further characterization and assessment, this could be a safe and potential drug candidate for Neurotoxicity.
Multifeature Fusion Human Motion Behavior Recognition Algorithm Using Deep Reinforcement Learning
Authors: Lu Chengkun
Published: November 2021

Through the recognition and analysis of human motion information, the actual motion state of human body can be obtained. However, the multifeature fusion of human behavior has limitations in recognition accuracy and robustness. Combined with deep reinforcement learning, multifeature fusion human behavior recognition is studied and we proposed a multifeature fusion human behavior recognition algorithm using deep reinforcement learning. Firstly, several typical human behavior data sets are selected as the research data in the benchmark data set. In the selected data sets, the behavior category contained in each video is the same behavior, and there are category tags. Secondly, the attention model is constructed. In the deep reinforcement learning network, the small sampling area is used as the model input. Finally, the corresponding position of the next visual area is estimated according to the time series information obtained after the input. The human behavior recognition algorithm based on deep reinforcement learning multifeature fusion is completed. The results show that the average accuracy of multifeature fusion of the algorithm is about 95%, the human behavior recognition effect is good, the identification accuracy rate is as high as about 98% and passed the camera movement impact performance test and the algorithm robustness, and the average time consumption of the algorithm is only 12.7 s, which shows that the algorithm has very broad application prospects.
[Retracted] Finder‐MCTS: A Cognitive Spectrum Allocation Based on Traveling State Priority and Scenario Simulation in IoV
Authors: Li Zhong , Shao Hao
Published: November 2021

With the increasing number of intelligent connected vehicles, the problem of scarcity of communication resources has become increasingly obvious. It is a practical issue with important significance to explore a real‐time and reliable dynamic spectrum allocation scheme for the vehicle users, while improving the utilization of the available spectrum. However, previous studies have problems such as local optimum, complex parameter setting, learning speed, and poor convergence. Thus, in this paper, we propose a cognitive spectrum allocation method based on traveling state priority and scenario simulation in IoV, named Finder‐MCTS. The proposed method integrates offline learning with online search. This method mainly consists of two stages. Initially, Finder‐MCTS gives the allocation priority of different vehicle users based on the vehicle’s local driving status and global communication status. Furthermore, Finder‐MCTS can search for the approximate optimal allocation solutions quickly online according to the priority and the scenario simulation, while with the offline deep neural network‐based environmental state predictor. In the experiment, we use SUMO to simulate the real traffic flows. Numerical results show that our proposed Finder‐MCTS has 36.47%, 18.24%, and 9.00% improvement on average than other popular methods in convergence time, link capacity, and channel utilization, respectively. In addition, we verified the effectiveness and advantages of Finder‐MCTS compared with two MCTS algorithms’ variations.
Anti-Inflammatory Effects of Lagerstroemia ovalifolia Teijsm. & Binn. in TNFα/IFNγ-Stimulated Keratinocytes
Authors: Lee Han-Sol , Paik Jin-Hyub , Kwon Ok-Kyoung , Paryanto Imam , Yuniato Prasetyawan , Ryu Hyung Won , Choi Sang-Ho , Oh Sei-Ryang , Han Sang-Bae , Park Ji-Won , Ahn Kyung-Seop
Published: November 2021

Ethnopharmacological Relevance. Atopic dermatitis is a chronic inflammatory skin disease. Lagerstroemia ovalifolia Teijsm. & Binn. (LO) has traditionally been used as an herbal medicine for anti-inflammatory diseases. The effect of LO on atopic dermatitis has not been verified scientifically. We investigated the effects of CHCl3 fraction number 5 of LO (LOC) on atopic dermatitis through cell-based experiments. HaCaT cells were treated with tumor necrosis factor-alpha (TNFα)/interferon-gamma (IFNγ) to induce an inflammatory reaction. Proinflammatory cytokines, interleukin- (IL-) 6, IL-8, and IL-1β and chemokines such as thymus and activation-regulated chemokine (TARC/CCL17), monocyte chemoattractant protein 1 (MCP1/CCL2), and macrophage-derived chemokine (MDC/CCL22) were measured by RT-PCR and ELISA. In addition, the degree of phosphorylation and activation of JAK/STAT1, PI3K/AKT, and nuclear factor-kappa B (NF-κB) were measured by western blot and luciferase assays. The production of inflammatory cytokines and chemokines and activation of the JAK/STAT1, PI3K/AKT, and NF-κB pathways were induced by TNFα/IFNγ in HaCaT cells. Under these conditions, LOC treatment inhibited the production of targeted cytokines and chemokines and decreased the phosphorylation and activation of JAK/STAT1, PI3K/AKT, and NF-κB. These results suggest that LOC reduces the production of proinflammatory cytokines and chemokines by suppressing the JAK/STAT1, PI3K/AKT, and NF-κB pathways. Therefore, LOC may have potential as a drug for atopic dermatitis.
Classification and Characteristics of Mesenchymal Stem Cells and Its Potential Therapeutic Mechanisms and Applications against Ischemic Stroke
Authors: Gong Pian , Zhang Wei , He Yan , Wang Jianfeng , Li Song , Chen Songyu , Ye Qingsong , Li Mingchang
Published: November 2021

Ischemic stroke is a serious cerebral disease that often induces death and long-term disability. As a currently available therapy for recanalization after ischemic stroke, thrombolysis, including intravenous thrombolysis and endovascular therapy, still cannot be applicable to all patients due to the narrow time window. Mesenchymal stem cell (MSC) transplantation therapy, which can trigger neuronal regeneration and repair, has been considered as a significant advance in treatment of ischemic stroke. MSC transplantation therapy has exhibited its potential to improve the neurological function in ischemic stroke. Our review describes the current progress and future perspective of MSC transplantation therapy in ischemic stroke treatment, including cell types, transplantation approaches, therapeutic mechanisms, and preliminary clinical trials of MSC transplantation, for providing us an update role of MSC transplantation in ischemic stroke treatment.
Estimating the Ultimate Bearing Capacity for Strip Footing Near and within Slopes Using AI (GP, ANN, and EPR) Techniques
Authors: Ebid Ahmed M. , Onyelowe Kennedy C. , Arinze Emmanuel E.
Published: November 2021

Numerical and computational analyses surrounding the behavior of the bearing capacity of soils near or adjacent to slopes have been of great importance in earthwork constructions around the globe due to its unique nature. This phenomenon is encountered on pavement vertical curves, drainages, and vertical infrastructure foundations. In this work, multiple data were collected on the soil and footing interface parameters, which included width of footing, depth of foundation, distance of slope from the footing edge, soil bulk density, slope and frictional angles, and bearing capacity factors of cohesion and overburden pressure determined for the case of a foundation on or adjacent to a slope. The genetic programming (GP), evolutionary polynomial regression (EPR), and artificial neural network (ANN) intelligent techniques were employed to predict the ultimate bearing capacity of footing on or adjacent to a slope. The performance of the models was evaluated as well as compared their accuracy and robustness with the findings of Prandtl. The results were observed to show the superiority of GP, EPR, and ANN techniques over the computational works of Prandtl. In addition, the ANN outclassed the other artificial intelligence methods in the exercise.
Management of Patients with Nonmetastatic Castration-Resistant Prostate Cancer: Recommendations of a Multidisciplinary Panel of Experts from South America
Authors: Manneh Ray , Brugés Ricardo , Correa Jose Jaime , Rojas Julián , Rojas Daniel , Villareal Nicolás
Published: November 2021

Most prostate cancer patients who undergo androgen-deprivation therapy or orchiectomy will eventually develop castration-resistant prostate cancer (CRPC), often preceded by a nonmetastatic CRPC state known as M0CRPC. The recent development of second-generation antiandrogens provides clinicians with efficacious and safe treatments for M0CRPC. However, the complexity of these patients, who typically have to deal with underlying comorbidities and polypharmacy, often challenges therapeutic decisions in this setting. The recent development of novel imaging techniques also provides clinicians with tools for detecting metastases with high sensitivity and specificity. However, the lack of evidence on the early detection of metastases and the corresponding impact on therapeutic decisions makes these techniques a double-edged sword that must be managed appropriately. Here, we present the expert view of the rapidly evolving concept of M0CRPC and provide recommendations for the identification of these patients, the appropriate use of the emerging imaging modalities, and patients’ management, particularly considering their clinical complexity and the recent development of next-generation antiandrogens.
Prevalence of Pediatric Onset Multiple Sclerosis in Saudi Arabia
Authors: Bunyan Reem , Al Towaijri Ghada , Al Otaibi Hessa , Kareem Abid , Algahtani Hussein , Al Mejally Mousa , Almubarak Ali , Alrajeh Saad , Cupler Edward , Qureshi Shireen , Alawi Sadaga. , Kalakatawi Mamdouh , Al Malik Yaser , Nahrir Shahpar , Alhazzani Adel , El-Metwally Ashraf , Shami Sahar , Ishak Samah , Almudaiheem Hajer , Al-Jedai Ahmed , AlJumah Mohammed
Published: November 2021

Background. The prevalence of multiple sclerosis (MS) appears to be increasing worldwide. However, data on the pediatric onset of MS is lacking, particularly in developing countries. Objective. This study is aimed at reporting the current burden of the pediatric onset of MS in the five regions of Saudi Arabia. Methods. This study used relevant data from the National Saudi MS Registry that was operational between 2015 and 2018. The data on patients with pediatric onset MS from all the hospitals included in the registry was retrospectively analyzed using the age of diagnosis. Patients who were 1-18 years old when diagnosed were included in the analysis. Results. The registry included 287 patients with pediatric onset MS, with a mean age of diagnosis at 15.7 (SD: 2.06). 74.2% of the participants were females. For the included hospitals, the estimated prevalence of pediatric MS was at 2.73/100,000 pediatric Saudi population. The prevalence of pediatric MS in the remaining nonparticipant hospitals was then projected taking into account both the size of pediatric population in the Kingdom per region and the number of facilities treating and managing MS in each of the corresponding regions. The overall projected prevalence was found to be 14.33/100,000 Saudi pediatric population. Conclusion. To the best of our knowledge, this study reported the latest epidemiological data of pediatric onset of MS in Saudi Arabia. The current prevalence of MS among the pediatric Saudi population was found to be 2.73/100,000, and the overall projected prevalence was estimated at 14.33/100,000. Our findings were similar to those in other pediatric MS cohorts. Further studies are needed to understand the long-term prognosis, response to treatment, and disease course.
A Construction Method of Intelligent Manufacturing System under Industry 4.0 Model
Authors: Xiao Yue , Zeng Zhiqing
Published: November 2021

Starting from the current problems facing Industry 4.0, this article analyzes the changes in the macro and industrial environment that Industry 4.0 faces and explains the problems, opportunities, and strategies for the manufacturing industry in the external environment. First, the reference system of the intelligent manufacturing system, the current status, and the existing problems of industrial production management are analyzed through the investigation of the status quo of industrial production and management. This puts forward the detailed requirements of the industrial intelligent manufacturing system in the data acquisition layer, data storage layer, and analysis and decision support layer and then designs the hierarchical structure of the industrial intelligent manufacturing system. Subsequently, it adopts design methods and lists product manufacturing costs, pointing out that Industry 4.0 requires industrial transformation, and finally proposes the strategic direction of smart manufacturing in combination with the Industry 4.0 network strategy. At the same time, in view of the problems of long parameter measurement time and untimely system feedback in the existing koji-making process, an online parameter measurement method based on network optimization is proposed. On the basis of the neural network, an industrial neural network with double hidden layers and self-feedback of the output layer is proposed. Through algorithm comparison experiments, the proposed parameter prediction model based on industrial neural network has better prediction results and higher accuracy. Finally, a comparison of cost, quality, delivery time, etc., before and after the implementation of Industry 4.0 intelligent manufacturing is carried out. An intelligent solution is proposed, the implementation goal is formulated, and the implementation is gradually implemented in stages, and finally an intelligent upgrade and transformation are realized. It is shown in many aspects that intelligent manufacturing provides a powerful means for enterprises to achieve agility, virtualization, lean, integration, and collaboration, and it can bring efficiency, reliability, and safety to the manufacturing process of enterprises.
Cefuroxime-Loaded Hydrogels for Prevention and Treatment of Bacterial Contamination of Open Wounds
Authors: Virych Pavlo , Nadtoka Oksana , Doroschuk Volodymyr , Lelyushok Sergey , Chumachenko Vasyl , Bezugla Tetiana , Kutsevol Nataliya
Published: November 2021

Dextran/Sulfodextran-graft-polyacrylamide- and polyacrylamide-based hydrogels were synthesized by radical polymerization and loaded with cefuroxime to obtain antimicrobial wound dressings. Antibiotic release from the antibiotic-loaded hydrogels into an aqueous solution was studied by the HPLC-UV method. It is shown that cefuroxime-loaded Dextran/Sulfodextran-graft-polyacrylamide hydrogels release the antibiotic more slowly compared to polyacrylamide hydrogel with the same density of cross-links. Antibacterial activity of the synthesized materials was tested in vitro against wild strains of S. aureus, E. coli, and Klebsiella spp. The possibility of using the obtained antimicrobial hydrogels for the treatment of infected wounds was confirmed in vivo in a rat model.