International Journal of Advances in Engineering Sciences and Applied Mathematics最新文献_第9页

Clinical and molecular correlates of response to immune checkpoint blockade in urothelial carcinoma with liver metastasis. 伴有肝转移的尿路上皮癌对免疫检查点阻断剂反应的临床和分子相关性。

IF 5.8

International Journal of Advances in Engineering Sciences and Applied Mathematics Pub Date : 2022-11-01 Epub Date: 2022-04-20 DOI: 10.1007/s00262-022-03204-6

Takashi Yoshida, Chisato Ohe, Katsuhiro Ito, Hideaki Takada, Ryoichi Saito, Yuki Kita, Takeshi Sano, Koji Tsuta, Hidefumi Kinoshita, Hiroshi Kitamura, Hiroyuki Nishiyama, Takashi Kobayashi

{"title":"Clinical and molecular correlates of response to immune checkpoint blockade in urothelial carcinoma with liver metastasis.","authors":"Takashi Yoshida, Chisato Ohe, Katsuhiro Ito, Hideaki Takada, Ryoichi Saito, Yuki Kita, Takeshi Sano, Koji Tsuta, Hidefumi Kinoshita, Hiroshi Kitamura, Hiroyuki Nishiyama, Takashi Kobayashi","doi":"10.1007/s00262-022-03204-6","DOIUrl":"10.1007/s00262-022-03204-6","url":null,"abstract":"Despite recent advancements in immunotherapy, urothelial carcinoma patients with liver metastasis have a poor response to immune checkpoint inhibitors (ICIs) and short survival durations. Here, we investigated the clinical activity and molecular correlates of resistance to ICI in patients with metastatic urothelial carcinoma (mUC), focusing on liver metastasis. In this study, 755 patients with mUC who received pembrolizumab (JUOG cohort), 144 mUC patients who were treated with atezolizumab (IMvigor210 cohort), and 59 mUC patients who had metastatic samples available were enrolled. The presence of liver metastasis was associated with increased peripheral monocytes and a reduction in lymphocytes when compared with other metastatic sites, and a poor prognosis for ICI therapy. The peripheral monocyte-to-lymphocyte ratio was significantly correlated with the CD163+M2-like tumor-associated macrophage (TAM)/CD8+ tumor-infiltrative lymphocyte (TIL) ratio in the primary and metastatic UC lesions. Exploratory molecular analyses indicated that ICI-resistant status, such as decreased tumor mutation burden, low CD8+ TILs and immune checkpoint signatures, and increased M2-like TAM markers, in primary tumors was correlated with the presence of liver metastasis. In metastatic lesions, the CD163+M2-like TAM/CD8+TIL ratio and expression of cancer-associated fibroblasts induced by the TGFβ signaling pathway were higher in the liver versus the lung metastatic tumors. This study indicated that tumor-infiltrating lymphocyte and macrophage status in primary and metastatic lesions, which correlate with peripheral monocyte and lymphocyte status, may predict immunotherapy outcomes in UC patients with liver metastasis.","PeriodicalId":44367,"journal":{"name":"International Journal of Advances in Engineering Sciences and Applied Mathematics","volume":"4 1","pages":"2815-2828"},"PeriodicalIF":5.8,"publicationDate":"2022-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10992465/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74253250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An effective control structure of on-board battery charger for electric vehicles 一种电动汽车车载电池充电器的有效控制结构

IF 0.9

International Journal of Advances in Engineering Sciences and Applied Mathematics Pub Date : 2022-09-01 DOI: 10.11591/ijaas.v11.i3.pp211-219

M. Khadem, M. Karami

引用次数: 0

Recent developments in offshore wind energy systems: Technologies and practices 海上风能系统的最新发展:技术与实践

IF 0.9

International Journal of Advances in Engineering Sciences and Applied Mathematics Pub Date : 2022-09-01 DOI: 10.11591/ijaas.v11.i3.pp220-231

S. Vasudevan, Venkatachalam Moorthy Kondayampalayam, A. Murugesan

{"title":"Recent developments in offshore wind energy systems: Technologies and practices","authors":"S. Vasudevan, Venkatachalam Moorthy Kondayampalayam, A. Murugesan","doi":"10.11591/ijaas.v11.i3.pp220-231","DOIUrl":"https://doi.org/10.11591/ijaas.v11.i3.pp220-231","url":null,"abstract":"This paper deals with offshore wind power generation technologies, power transmission and grid communication features, and associated power system studies for effective implementation of offshore wind energy systems, explaining its various stages of implementation. Also, this paper reviews the latest trends in offshore wind energy systems, addressing various aspects like large wind farm siting, power evacuation studies, cable selection, high-voltage direct current/flexible alternating current transmission systems (HVDC/FACTS) technology options, reliability evaluation, and autonomous monitoring. India's renewable power generation capacity through off-shore wind generation is also outlined to ensure low carbon energy emissions with improved energy efficiency. The policy and regulatory framework factors for reaching five gigawatts (GW) of offshore wind projects in the states of Tamilnadu and Gujarat by the year 2032 using current methods and advanced technology are discussed here. This goal can be accomplished using current practices and advanced technologies. For effective implementation of offshore wind farms, suitable measures and likely actions by various stakeholders are suggested.","PeriodicalId":44367,"journal":{"name":"International Journal of Advances in Engineering Sciences and Applied Mathematics","volume":"93 24","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72492318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Pedestrian detection system based on deep learning 基于深度学习的行人检测系统

IF 0.9

International Journal of Advances in Engineering Sciences and Applied Mathematics Pub Date : 2022-09-01 DOI: 10.11591/ijaas.v11.i3.pp194-198

Mohammed Razzok, A. Badri, Ilham El Mourabit, Y. Ruichek, A. Sahel

引用次数: 3

The k-Nearest Neighbor modelling by varying Mahalanobis and Correlation in distance metric for agarwood oil quality classification 在沉香油质量分类中，基于不同马氏度和相关距离度量的k近邻模型

IF 0.9

International Journal of Advances in Engineering Sciences and Applied Mathematics Pub Date : 2022-09-01 DOI: 10.11591/ijaas.v11.i3.pp242-252

Noor Syafina Mahamad Jainalabidin, Aqib Fawwaz Mohd Amidon, N. Ismail, Z. Mohd Yusoff, S. N. Tajuddin, M. Taib

{"title":"The k-Nearest Neighbor modelling by varying Mahalanobis and Correlation in distance metric for agarwood oil quality classification","authors":"Noor Syafina Mahamad Jainalabidin, Aqib Fawwaz Mohd Amidon, N. Ismail, Z. Mohd Yusoff, S. N. Tajuddin, M. Taib","doi":"10.11591/ijaas.v11.i3.pp242-252","DOIUrl":"https://doi.org/10.11591/ijaas.v11.i3.pp242-252","url":null,"abstract":"Agarwood oil is well known for its unique scent and has many usages; as an incense, as ingredient in perfume, is burnt during religious ceremonies and is used in traditional medical preparation. Therefore, agarwood oil has high demand and is traded at different price based on its quality. Basically, the oil quality is classified by using physical properties (odor and color) and this technique has several problems: not consistent in term of accuracy. Thus, this study presented a new technique to classify the quality of agarwood oil based on chemical properties. The work focused on the k-Nearest Neighbor (k-NN) modelling by varying Mahalanobis and Correlation in distance metric for agarwood oil quality classification. It involved of 96 samples of agarwood oil, data pre-processing (data randomization, data normalization, and data division to testing and training datasets) and the development of k-NN model. The training dataset is used to train the k-NN model, and the testing dataset is used to test the developed model. During the model development, Mahalanobis and Correlation are varied in k-NN distance metric. The k-NN values are ranging from 1 to 10. Several performance criteria including resubstitution error (closs), cross-validation error (kloss) and accuracy were applied to measure the performance of the built k-NN model. All the analytical work was performed via MATLAB software version R2020a. The result showed that the accuracy of Mahalanobis distance metric has a better performance compared to Correlation from k=1 to k=5 with the value of 100.00%. This finding is important as it proved the capabilities of k-NN modelling in classifying the agarwood oil quality. Not limited to that, it also contributed to the agarwood oil research area as well as its industry.","PeriodicalId":44367,"journal":{"name":"International Journal of Advances in Engineering Sciences and Applied Mathematics","volume":"20 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77766997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Skin cancers image classification using transformation and first order statistic features with artificial neural network classifier 基于变换和一阶统计特征的人工神经网络皮肤癌图像分类

IF 0.9

International Journal of Advances in Engineering Sciences and Applied Mathematics Pub Date : 2022-09-01 DOI: 10.11591/ijaas.v11.i3.pp232-241

A. Alqaisi, Loay E. George

{"title":"Skin cancers image classification using transformation and first order statistic features with artificial neural network classifier","authors":"A. Alqaisi, Loay E. George","doi":"10.11591/ijaas.v11.i3.pp232-241","DOIUrl":"https://doi.org/10.11591/ijaas.v11.i3.pp232-241","url":null,"abstract":"Skin cancer is one of the most dangerous types of cancer. Some types of this cancer lead to death, so cancer must be discovered and indexed to avoid its spread through initial detection in the impulsive stage. This paper deals with the detection and indexing of different types of melanomas using an artificial neural network (ANN) depending on the international skin imaging collaboration (ISIC) 2018 dataset that was used. The pre-processing is the most important part because it formulates an image by insolated the cancer part from the skin image. It consists of four stages, removable, cropping, thinning, and normalization. This phase has been used to eliminate all the undesirable hair particles on the image lesion. The cropped image transforms into frequency domain coefficients using discrete cosine transform (DCT), discrete wavelet transform (DWT), and gradient transform for sub-band images to extract its feature. The statistical feature extraction is implemented to minimize the size of data for ANN training. The experimental analysis used dataset ISIC 2018 consisting of seven different types of dermoscopic images (this paper deals with four types only). For classification purposes, ANN was implemented and the accuracy obtained is about 88.98% for DWT, 85.44% for sub-band DCT, and 76.07% for sub-band gradient transform.","PeriodicalId":44367,"journal":{"name":"International Journal of Advances in Engineering Sciences and Applied Mathematics","volume":"9 1","pages":""},"PeriodicalIF":0.9,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80760906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Advanced optimal GWO-PID controller for DC motor 先进的直流电机最优GWO-PID控制器

IF 0.9

International Journal of Advances in Engineering Sciences and Applied Mathematics Pub Date : 2022-09-01 DOI: 10.11591/ijaas.v11.i3.pp263-276

G. Aziz, S. W. Shneen, Fatin Nabeel Abdullah, D. H. Shaker

引用次数: 1

A nulling-resistor output amplifier in the framework of heterostructures based on nonlinear partial differential equations 基于非线性偏微分方程的异质结构零电阻输出放大器

IF 0.9

International Journal of Advances in Engineering Sciences and Applied Mathematics Pub Date : 2022-06-01 DOI: 10.11591/ijaas.v11.i2.pp126-145

E. Pankratov

引用次数: 0

A lattice Boltzmann relaxation scheme for incompressible fluid flows 不可压缩流体流动的格子Boltzmann弛豫格式

IF 0.9

International Journal of Advances in Engineering Sciences and Applied Mathematics Pub Date : 2022-06-01 DOI: 10.1007/s12572-022-00320-5

A. Ruhi, S. V. Raghurama Rao, S. Muddu

引用次数: 0

Fuzzy logic control of biological wastewater treatment plants with non-ideal sensors and actuators 基于非理想传感器和执行器的污水生物处理厂模糊逻辑控制

IF 0.9

International Journal of Advances in Engineering Sciences and Applied Mathematics Pub Date : 2022-06-01 DOI: 10.1007/s12572-022-00319-y

P. Maheswari, E. Tejaswini, P. Sridhar, S. R. Ambati

引用次数: 1