SPT:Swin Pyramid Transformer for Object Detection of Remote Sensing by CAI Xiao, CEHN Zhihua, SHENG Bin

“…The task of object detection is a basic and highly concerned work in the field of computer vision.Because object detection in remote sensing has important application value in transportation,military,agriculture,etc.,it has also become a major research hotspot.Compared with natural images,remote sensing images are affected by many factors such as complex background interference,weather,irregularities,and small objects.It is extremely challenging to achieve higher accuracy in remote sensing image object detection tasks.This paper proposes a novel object detection network based on Transformer,swin pyramid Transformer(SPT).SPT uses a sliding window Transformer module as the backbone of feature extraction.Among it,the self-attention mechanism of Transformer is very effective for detecting objects in a chaotic background,and the sliding window mode efficiently avoids a large number of square-level complexity calculations.After obtaining the feature map extracted by the backbone network,SPT uses a pyramid architecture to fuse different scale and semantic features,pithily reducing the loss of information between feature layers,and capturing the inherent multi-scale hierarchical relationship.In addition,this paper proposes self-mixed Transformer(SMT) module and cross-layer Transformer(CLT) module.SMT re-renders the highest-level feature map to enhance object feature recognition and expression.According to the feature context interaction,the feature expressions of the pixels of each feature layer are rearranged by CLT,and the CLT module is integrated into the bottom-up and top-down dual paths of the pyramid to make full use of global and local information containing different semantics.Our SPT network model is trained and tested on the UCAS-AOD and RSOD datasets.Experimental results show that SPT is high-performing in remote sensing image object detection tasks,especially suitable for irregular and small target categories,such as overpass and car.…”
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Optimization scheme of partial discharge location of external insulation based on 2‐D multiple signal classification algorithm by Shaotong Pei, Dewang Liu, Zijian Ye, Jiajun Yang, Yunpeng Liu

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Applicability of the acoustic–electrical joint detection method to identify defects in gas insulated system by Jixing Sun, Yongzhi Fan, Weifan Qiu, Sibo Song, Xinyu Tan, Yu Tian, Xuewen Jiao, Huili Wang, Nana Wu

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Research on the evaluation of rectal function after LAR based on CEEMDAN‐Fast‐ICA algorithm by Peng Zan, Yutong Zhao, Hua Zhong, Yang Yu, Yuanbo Wang, Yijia Shao, Chunyong Li

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Should We Delay Urodynamic Study When Patients With Spinal Cord Injury Have Asymptomatic Pyuria? by EunYoung Kim, Hye Jin Lee, Onyoo Kim, In Suk Park, Bum-Suk Lee

“…Of 221 patients with bacteriuria (gram-negative isolates) on pre-UDS culture, resistance to ciprofloxacin, cephalosporin, and trimethoprim/sulfamethoxazole (TMP/SMT) was noted in 52.9% (117 cases), 57.0% (126 cases), and 38.9% (86 cases), respectively. …”
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Possibility of Obtaining Long Fiber from Oilseed Flax Trusts Using Various Technological Equipment by E. N. Koroleva, E. V. Novikov, A. V. Bezbabchenko

“…The samples were processed on an SMT-500 machine and in an ALS-1 crumpling and scutching machine, after which the quality parameters of the long fiber were determined. …”
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Impact of Binary-Valued Representation on the Performance of Cross-Modal Retrieval System by Nikita Bhatt, Amit Ganatra, Nirav Bhatt, Purvi Prajapati, Mrugendra Rahevar

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Intramural cancer recurrence in the rectum after curative surgery for proximal sigmoid colon cancer: a case report by Yusuke Asada, Katsuya Chinen, Ken Yamataka, Jo Tokuyama, Naoto Kurihara, Shuhei Iida

“…We performed curative low anterior resection with tumor-specific mesorectal excision (TSME). The SMT-like tumor was located approximately 20 cm from the initial sigmoid colon anastomosis (i.e., at least 20 cm distal to the initial sigmoid colon cancer). …”
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Fault diagnosis of power capacitors using a convolutional neural network combined with the chaotic synchronisation method and the empirical mode decomposition method by Shiue‐Der Lu, Hong‐Wei Sian, Meng‐Hui Wang, Cheng‐Chien Kuo

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Internet of things sensors and support vector machine integrated intelligent irrigation system for agriculture industry by G. Kranthi Kumar, Manoj L. Bangare, Pushpa M. Bangare, Chanda Raj Kumar, Roop Raj, José Luis Arias-Gonzáles, Batyrkhan Omarov, Md. Solaiman Mia

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An updated review of Chinese skullcap (Scutellaria baicalensis): Emphasis on phytochemical constituents and pharmacological attributes by Dilip Kumar Chanchal, Kuldeep Singh, Bharat Bhushan, Jitendra Singh Chaudhary, Shivendra Kumar, Ajit Kumar Varma, Neha Agnihotri, Akash Garg

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Comportamiento de dos modelos no lineales para analizar el crecimiento en ratas diabéticas. Importancia del criterio biológico by Silvana Marisa Montenegro, María del Carmen Gayol, Stella Maris Martínez, María Cristina Tarrés

“…Con el objetivo de analizar el crecimiento de ratas de los genotipos eSS, β y eSMT con diabetes espontánea fue evaluada la capacidad de descripción de los modelos matemáticos von Bertalanffy y Logístico a los datos de peso y longitud caudal desde el destete hasta los 70 días después del nacimiento. …”
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Voice from the frontline and learning for the future: A qualitative descriptive study on wider perspectives of frontline nurses in India during the COVID 19 global pandemic by Sunita Panda, Manjubala Dash, Rajalaxmi Mishra, Shilpa A. Shettigar, Delphina Mahesh Gurav, Sathiya Kuppan, Santhoshkumari Mohan

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Intelligent monitoring of EHV transformer bushing based on multi‐parameter composite sensing technology by Lu Zhang, Lei Sun, Wensen Wang, Yanhua Han, Lu Pu, Jingfeng Wu, Hao Wu

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Scandinavian trial of uncomplicated aortic dissection therapy: study protocol for a randomized controlled trial by Claudina Rudolph, Beate Rikken Lindberg, Timothy Resch, Kevin Mani, Patrick Björkman, Elín Hanna Laxdal, Henrik Støvring, Henriette Margrethe Beck, Gunnar Eriksson, Jacob Budtz-Lilly

“…Recruited subjects will be randomized to either standard medical therapy (SMT) or SMT + TEVAR, where TEVAR must be performed between 2–12 weeks from the onset of symptoms. …”
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Ієрархічна модель систем автоматизованого генерування модульних тестів by Р. П. Базилевич, А. В. Франко

“…Побудовано їх ієрархічну модель: до четвертого рівня віднесено пошукові алгоритми для аналізу умов у коді; до третього – SMT-бібліотеки, які містять множину алгоритмів першого рівня та стратегії їх використання; до другого – поєднання результатів роботи SMT-бібліотеки з результатами роботи додаткової логіки; до першого – алгоритм управління, що керують процесом генерування тестів. …”
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Removal of Pharmaceutical Micropollutants with Integrated Biochar and Marine Microalgae by Amin Mojiri, Maedeh Baharlooeian, Reza Andasht Kazeroon, Hossein Farraji, Ziyang Lou

“…Three persistent PPCPs, namely, carbamazepine (CBZ), sulfamethazine (SMT) and tramadol (TRA), were treated with a combination of <i>Chaetoceros muelleri</i> and biochar in a photobioreactor during this study. …”
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Effect of Liraglutide on Weight Loss and BMI Among Patients Who Are Overweight and Obese with Type 2 Diabetes: A Systematic Review and Meta-analysis by C Zorampari, Rachna Gupta, Lalit K Gupta

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Research on assessment method for main insulation state of converter transformer based on time‐frequency domain dielectric response by Yizhou Zhang, Hao Yun, Mingze Zhang, Shengjie Lei, Yufei Sun

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Simulation Of Preventive And Corrective Maintenance Schedule In Reducing Machine Stoppage And Downtime by Tan, Sze Ming

“…The aim is to study the effect of maintenance strategies towards the machine downtime. The SMT line was simulated and evaluated based on the availability of individual machines via discrete event simulation system. …”
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