Donglei Lu¹, Dongjie Zhu^2,*, Yundong Sun³, Haiwen Du³, Xiaofang Li⁴, Rongning Qu⁴, Yansong Wang³, Ning Cao¹, Helen Min Zhou⁵

Computer Systems Science and Engineering, Vol.38, No.3, pp. 339-350, 2021, DOI:10.32604/csse.2021.016683

Abstract In recent years, the Internet of Things technology has developed rapidly, and smart Internet of Things devices have also been widely popularized. A large amount of data is generated every moment. Now we are in the era of big data in the Internet of Things. The rapid growth of massive data has brought great challenges to storage technology, which cannot be well coped with by traditional storage technology. The demand for massive data storage has given birth to cloud storage technology. Load balancing technology plays an important role in improving the performance and resource utilization of cloud storage systems. Therefore,… More >

Malak Abid Ali Khan^1,2, Xiaofeng Lian^1,*, Imran Khan Mirani^1,3, Li Tan⁴

Journal on Big Data, Vol.3, No.2, pp. 49-63, 2021, DOI:10.32604/jbd.2021.016213

Abstract The demand for Electronic Shelf Labels (ESL), according to the Internet of Things (IoT) paradigm, is expected to grow considerably in the immediate future. Various wireless communication standards are currently contending to gain an edge over the competition and provide the massive connectivity that will be required by a world in which everyday objects are expected to communicate with each other. Low-Power Wide-Area Networks (LPWANs) are continuously gaining momentum among these standards, mainly thanks to their ability to provide long-range coverage to devices, exploiting license-free frequency bands. The main theme of this work is one of the most prominent LPWAN… More >

Van-Truong Truong¹, Anand Nayyar^2,*, Showkat Ahmad Lone³

CMC-Computers, Materials & Continua, Vol.68, No.2, pp. 1615-1635, 2021, DOI:10.32604/cmc.2021.016922

Abstract Wireless sensor network (WSN) is considered as the fastest growing technology pattern in recent years because of its applicability in varied domains. Many sensor nodes with different sensing functionalities are deployed in the monitoring area to collect suitable data and transmit it to the gateway. Ensuring communications in heterogeneous WSNs, is a critical issue that needs to be studied. In this research paper, we study the system performance of a heterogeneous WSN using LoRa–Zigbee hybrid communication. Specifically, two Zigbee sensor clusters and two LoRa sensor clusters are used and combined with two Zigbee-to-LoRa converters to communicate in a network managed… More >

J. Boudier, G. Oldrini, C. Barlier, A. Lesur

Oncologie, Vol.21, No.1, pp. 11-16, 2019, DOI:10.3166/onco-2019-0034

Abstract When a breast cancer is diagnosed, the quality of the evaluation before treatment is essential to guide the therapeutic decision. The staging axillary is necessary because it estimates the regional extension of the disease, which makes it a paramount prognosis factor. Some different preoperative medical imaging can reveal metastasis axillary nodes. However, the axillary ultrasound remains the reference imaging and it also leads the biopsies too. Since theACOSOG-Z0011 trial, we are facing a therapeutic deescalation in the axillary surgery. According to recent results, we can note that the position of the axillary imaging is more and more important. The purpose… More >

S. Dejust

Oncologie, Vol.21, No.1, pp. 5-10, 2019, DOI:10.3166/onco-2019-0031

Abstract Axillary evaluation is a major step in the initial staging of breast cancer. Ultrasound guided biopsy is currently recommended in first-line. MRI and 18FDG PET/CT are useful in axillary lymph node evaluation. Imaging sensitivities and specificities are globally identical and their combination allows obtaining the best performances. Currently, sentinel node technique is essential in case of T1-T2 N0 mammary tumors and in case of suspected lymph node adenopathy with negative cytopuncture or microbiopsy.


Résumé
L’exploration préthérapeutique axillaire est une étape majeure du bilan initial du cancer du sein. L’échographie associée à un prélèvement est actuellement recommandée en première intention. L’IRM et la… More >

Lin Zhang^1,2,*, Dong Xie¹, Zhong Bian¹, Yiting Zou¹, Han Zhou¹, Wenlu Cai¹, Hadi Yeilaghi¹, Xiaolei Fan^1,2, Changquan Zhang^1,2, Qiaoquan Liu^1,2,*

Phyton-International Journal of Experimental Botany, Vol.90, No.3, pp. 773-787, 2021, DOI:10.32604/phyton.2021.015229

Abstract In recent years, some super hybrid rice varieties were bred with strong culms and large panicles, which are mainly contributed by the ipa1-2D locus. A gain-of-function allele of OsSPL14 is the ipa1-2D and it can greatly increase the panicle primary branch number. However, the key downstream genes mediating this trait variation are not fully explored. In this study, we developed high-quality near-isogenic lines (NILs) with a difference of only 30 kb chromosomal segment covering the ipa1-2D locus. Using the NILs, we explored the impact of ipa1-2D on five sequential stages of early inflorescence development, and found that the locus can… More >

Ruijun Chai¹, Sujie Shao^1,*, Shaoyong Guo¹, Yuqi Wang¹, Xuesong Qiu¹, Linna Ruan²

Intelligent Automation & Soft Computing, Vol.27, No.2, pp. 471-482, 2021, DOI:10.32604/iasc.2021.013373

Abstract Long Range Radio (LoRa) has become one of the widely adopted Low-Power Wide Area Network (LPWAN) technologies in power Internet of Things (PIoT). Its major advantages include long-distance, large links and low power consumption. However, in LoRa-based PIoT, terminals are often deployed in the wild place and are easily affected by bad weather or disaster, which could easily lead to large-scale operation faults and could seriously affect the normal operation of the network. Simultaneously, the distribution characteristics of outdoor terminals with wide coverage and large links lead to a sharp increase in the difficulty and cost of fault recovery. Given… More >

Yuqi Wang¹, Sujie Shao^1,*, Shaoyong Guo¹, Ruijun Chai¹, Feng Qi¹, Michel Kadoch²

Intelligent Automation & Soft Computing, Vol.27, No.1, pp. 287-298, 2021, DOI:10.32604/iasc.2021.013543

Abstract Electric power Internet of Things (IoT) is a network system that can meet multiple requirements of the power grid, such as infrastructure, environment recognition, interconnection, perception and control. Long Range Radio Wide Area Network (LoRaWAN) with the advantages of ultra-long transmission and ultra-low power consumption, becomes the most widely used protocol in the electric power IoT. However, its extremely simple star topology also leads to several problems. When most of terminals depend on one or several gateways for communication, the gateways with heavier communication tasks have poorer communication quality. The load of each gateway is unbalanced, which is hardly conducive… More >

Yinjie Wang, Yongxia Zhang, Qingquan Liu, Liangqin Liu, Suzhen Huang, Haiyan Yuan^*

Phyton-International Journal of Experimental Botany, Vol.90, No.1, pp. 277-290, 2021, DOI:10.32604/phyton.2020.011545

Abstract Quantitative real-time PCR (qPCR) is an effective and widely used method to analyze expression patterns of target genes. Selection of stable reference genes is a prerequisite for accurate normalization of target gene expression by qRT-PCR. In Iris germanica L., no studies have yet been published regarding the evaluation of potential reference genes. In this study, nine candidate reference genes were assessed at different flower developmental stages and in different tissues by four different algorithms (GeNorm, NormFinder, BestKeeper, and RefFinder). The results revealed that ACT11 (Actin 11) and EF1α (Elongation factor 1 alpha) were the most stable reference genes in different… More >

Feng Liu^1,2,3, Zilan Ma^1,2,3, Marcos A. Caraballo-Ortiz⁴, Hui Zhang⁵, Xu Su^1,2,3, Yuping Liu^1,2,3,*

Phyton-International Journal of Experimental Botany, Vol.89, No.4, pp. 1083-1090, 2020, DOI:10.32604/phyton.2020.011239

Abstract Pedicularis longiflora var. tubiformis (Orobanchaceae) is an abundant parasitic herb mainly found in the Xiaopohu wetland of the Qinghai Lake Basin in Northwestern China. The species has an important local medicinal value, and in this study, we evaluated the chemical profile of its stems, leaves and seeds using mass spectrometry. Dried samples of stems, leaves and seeds were grinded, weighted, and used for a series of extractions with an ultrasonic device at room temperature. The chemical profiles for each tissue were determined using Gas Chromatography-Mass Spectrometry (GC-MS) and Liquid ChromatographyMass Spectrometry (LC-MS). Twenty-seven amino acids and organic acids were identified… More >