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Journal articles on the topic 'Auto-picking'

Author: Grafiati

Published: 1 April 2023

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1

Jin, Xin, Shu Jun Li, Xue Jun Yang, Jian Min Wu, Zhong Jun Liu, and Han Kun Liu. "Developments in Research on Seedling Auto-Picking Device of Vegetable Transplanter." Applied Mechanics and Materials 364 (August 2013): 375–79. http://dx.doi.org/10.4028/www.scientific.net/amm.364.375.

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Seedling auto-picking device is one of the most important working parts of a vegetable automatic transplanter. Its performance determines the transplanting quality, reliability and operation efficiency. The current developments of the seedling auto-picking device were discussed, and several typical devices were introduced in this paper. The existing problems of seedling auto-picking devices of different picking methods were pointed out. With the advantages of accurate location, high efficiency and easy picking, the mandril-type seedling picking was thought as the better transplanting mode of v

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2

Yuan, Cheng, Mingjun Su, Changkuan Ni, Xingye Liu, Yunze Xu, and Xiangli Cui. "Horizon auto-picking with quantitative uncertainty evaluation by using a modified VQ-VAE framework." Journal of Geophysics and Engineering 19, no. 4 (2022): 788–806. http://dx.doi.org/10.1093/jge/gxac051.

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Abstract In this paper, we propose a novel approach of deep-learning-based seismic horizon auto-picking that introduces a modified vector quantized variational autoencoder (VQ-VAE) framework to improve the accuracy of seismic horizon interpretation and, for the first time, quantitatively evaluate the uncertainty of the auto-picked horizon by exploiting the concept of entropy. Compared with the conventional VQ-VAE approach, the proposed method not only modifies the VQ-VAE model with more deep-learning channels at each layer of the network to enhance the performance of horizon auto-picking withi

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3

Tanaka, Masahiro, and Hideki Fujiwara. "Visualization of Categorical Data by Hybridization of Two Types of Neural Networks." Journal of Advanced Computational Intelligence and Intelligent Informatics 4, no. 1 (2000): 3–11. http://dx.doi.org/10.20965/jaciii.2000.p0003.

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The sandglass neural network is often used for nonlinear auto-association, where the principal information can be extracted by picking up the values of the middle layer. However, the boundary of the classes on this 2-1) surface tends to be complicated because no class information is used. In this paper, the hybridization of auto-associative network and the multi-layer perceptron for classification is proposed. The usefulness of this method is demonstrated by using clinical data.

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Yu, Jun Hua, Li Jia Xu, Ke Fan Ren, Wei Peng Zhang, Zhi Gang Lu, and Pei Da Wang. "Design and Test of a Mechanical Device for the Manipulator of the Watermelon Picking Machine." Applied Mechanics and Materials 442 (October 2013): 291–97. http://dx.doi.org/10.4028/www.scientific.net/amm.442.291.

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This Paper designs a mechanical device for the manipulator of the watermelon picking machine against the low mechanical degree of watermelon picking machine. The mechanical device utilizes a mechanical arm to drive the end effector to run and the end effector is responsible for clamping and shearing watermelon vines, which avoids vine disturbance and sorts out vines to be easily cut down through the process design of clamping, promoting, and re-shearing. In addition, this Paper applies Pro/E modeling, finite element analysis, and simulation analysis to complete the 3D model design of the mecha

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WU, L., Z. LUO, J. ZHOU, and H. WANG. "AN AUTO-PICKING STACKING VELOCITY ALGORITHM BASED ON AN AI AND PR APPROACH." International Journal of Pattern Recognition and Artificial Intelligence 03, no. 01 (1989): 103–11. http://dx.doi.org/10.1142/s0218001489000097.

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Stacking velocity is a very important parameter in seismic data processing. Until now the determination of stacking velocity has been done manually. This article proposes an automatic algorithm for picking stacking velocity. The algorithm uses artificial intelligence and pattern recognition techniques.

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6

Ren, Guo Qiang, Bo Zhang, Ya Fei Lian, and Zi Sheng Zhang. "The Auto-Control of pH Value Based on Labview." Advanced Materials Research 466-467 (February 2012): 79–83. http://dx.doi.org/10.4028/www.scientific.net/amr.466-467.79.

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Grounded on Labview platform, the grid of technology of solution pH value contributes to a new device----the auto-control technology of solution pH value. This device is easier to operate just by the parameter input in the interface. And it breaks the limit of single admeasuring apparatus, meanwhile adopts the method of picking the average value by multi-metering, which avoids the delay effect caused by solution mixing link. The Acid precipitation-Flocculation process in paper making sewage sets an example for the pH value auto-control and supports PAC control of pH value with software concept

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Ren, Guo Qiang, Chang Xie, Wen Zhao Li, Zi Sheng Zhang, and Zhi Qiang Liu. "The Auto-Control of pH Value Based on Labview." Applied Mechanics and Materials 235 (November 2012): 181–85. http://dx.doi.org/10.4028/www.scientific.net/amm.235.181.

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Grounded on Labview platform, the grid of technology of solution pH value contributes to a new device----the auto-control technology of solution pH value. This device is easier to operate just by the parameter input in the interface. And it breaks the limit of single admeasuring apparatus, meanwhile adopts the method of picking the average value by multi-metering, which avoids the delay effect caused by solution mixing link. The Acid precipitation-Flocculation process in paper making sewage sets an example for the pH value auto-control and supports PAC control of pH value with software concept

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8

Lu, Jianqi, Shanyou Li, Peiyang He, et al. "Energy- and Predominant-Period-Dependent P-Wave Onset Picker (EDP-Picker)." Seismological Research Letters 91, no. 4 (2020): 2355–67. http://dx.doi.org/10.1785/0220190260.

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Abstract An energy- and predominant-period-dependent (EDP) P-wave onset automatic picking (EDP-picker) algorithm is proposed to deal with the problem of inaccurate P-wave onset picking in cases in which the P-wave onset is hidden in high-amplitude ambient noise or the energy difference between the seismic P-wave and ambient noise is indistinguishable. The algorithm evaluates the energy change using a characteristic variable ΔE, which describes the energy increment of the P wave above ambient noise. The period change is evaluated using two variables with respect to the predominant period, namel

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9

Chen, Jiqing, Hongdu Zhang, Zhikui Wang, et al. "An image restoration and detection method for picking robot based on convolutional auto-encoder." Computers and Electronics in Agriculture 196 (May 2022): 106896. http://dx.doi.org/10.1016/j.compag.2022.106896.

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10

Buyurgan, Nebil, and Paiman Farrokhvar. "Supply Chain-Related Adverse Events and Patient Safety in Healthcare." International Journal of Healthcare Information Systems and Informatics 10, no. 2 (2015): 14–33. http://dx.doi.org/10.4018/ijhisi.2015040102.

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This research investigates adverse events and patient safety in healthcare due to poor supply chain management practices, and inadequate and disorganized product validation procedures. Focusing on commodity medical and surgical products, this research investigates correct product validation points for maximum patient safety. This study also explores benefits of standard product identifying technologies such as HIBC or GS1 data standards as well as automated validation systems such as barcode or Auto ID to minimize workflow interruptions. Site visits and phone interviews are conducted with six

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11

Han, Changjie, Xianwei Hu, Jing Zhang, Jia You, and Honglei Li. "Design and testing of the mechanical picking function of a high-speed seedling auto-transplanter." Artificial Intelligence in Agriculture 5 (2021): 64–71. http://dx.doi.org/10.1016/j.aiia.2021.02.002.

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12

Reinertsen, Anne Beate. "DDD + Assemblage." International Review of Qualitative Research 2, no. 2 (2009): 247–67. http://dx.doi.org/10.1525/irqr.2009.2.2.247.

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This is a writing story about becoming. It is therefore about change and about identifying myself—deconstructing myself—as learner always: “Getting smart” “getting lost” and “getting real” eventually as doing what we consider to be the ideal; moral perfectibility and learning as both function and fiction. It is a Deleuzian stumbling nomadic and rhizomatic inquiry into creating community through not and supplements and the displacement of terms: Subject/subjectivity/reconstruction/deconstruction/intersubjectivity/ co-construction/co-deconstruction…—being under erasure. Sentence (de) constructio

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13

Farhadi Sartangi, Morteza, Ali Husseinzadeh Kashan, Hassan Haleh, and Abolfazl Kazemi. "A Mixed Integer Linear Formulation and a Grouping League Championship Algorithm for a Multiperiod-Multitrip Order Picking System with Product Replenishment to Minimize Total Tardiness." Complexity 2022 (September 24, 2022): 1–24. http://dx.doi.org/10.1155/2022/1382558.

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Order picking, which is collecting a set of products from different locations in a warehouse, has repeatedly been described as one of the most laborious and time-consuming internal logistic processes. Each order is issued to pick some products located at given locations in the warehouse. In this paper, we consider an order picking problem, in which a number of orders with different delivery due dates are going to be retrieved by a limited number of order pickers in multiperiods such that the total tardiness is minimized. The aim is to determine a retrieval plan in terms of order batching and o

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14

González Pinzón, Cesar Leonardo, Helbert Eduardo Espitia Cuchango, and Gerardo Avendaño Prieto. "Marco de desarrollo algorítmico de inteligencia de enjambres aplicada en almacenes." Visión electrónica 9, no. 2 (2015): 194–205. http://dx.doi.org/10.14483/22484728.11028.

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La inteligencia de enjambres biológicos ha tenido un alto desarrollo en diferentes campos de la ingeniería aplicada, como es el caso de la robótica colaborativa en donde, a través de la bioinspiración, se desarrollan algoritmos que buscan imitar los comportamientos emergentes que suceden en la naturaleza cuando interactúan los integrantes de un enjambre de manera local, generando una inteligencia para resolver una problemática de manera auto organizada. Dentro de las aplicaciones en campos de la ingeniera está el desarrollo de procesos automatizados en ambientes de toda la cadena productiva de

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15

Chen, Bao Jiang, Tian Zi Ge, and Jian Zhi Wang. "A Study on the Key Technologies of a Kind of Automatic Packaging System." Applied Mechanics and Materials 548-549 (April 2014): 963–67. http://dx.doi.org/10.4028/www.scientific.net/amm.548-549.963.

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In order to improve the productivity of the filing form materials continuously and automatically packaged line, the control methods for the manipulator and the mechanism which has the capacity of weight self-measuring and auto–filling to the packaged material were studied. The manipulator is a pneumatic control system, it is consists of three pneumatic cylinder circuits to implement the horizontal movements, vertical movements and the activities of picking up or putting down the materials on line. The material to be picked up by manipulator was weighed and displayed by a single chip microcompu

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16

Hadacek, Franz. "Secondary or Specialized Metabolites, or Natural Products: A Case Study of Untargeted LC–QTOF Auto-MS/MS Analysis." Cells 11, no. 6 (2022): 1025. http://dx.doi.org/10.3390/cells11061025.

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The large structural diversity of specialized metabolites represents a substantial challenge in untargeted metabolomics. Modern LC–QTOF instruments can provide three- to four-digit numbers of auto-MS/MS spectra from sample sets. This case study utilizes twelve structurally closely related flavonol glycosides, characteristic specialized metabolites of plant tissues, some of them isomeric and isobaric, to illustrate the possibilities and limitations of their identification. This process requires specific software tools that perform peak picking and feature alignment after spectral deconvolution

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17

Lin, Cheng-Jian, and Mei-Ling Huang. "Efficient hybrid group search optimizer for assembling printed circuit boards." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 33, no. 03 (2018): 259–74. http://dx.doi.org/10.1017/s0890060418000240.

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AbstractAssembly optimization of printed circuit boards (PCBs) has received considerable research attention because of efforts to improve productivity. Researchers have simplified complexities associated with PCB assembly; however, they have overlooked hardware constraints, such as pick-and-place restrictions and simultaneous pickup restrictions. In this study, a hybrid group search optimizer (HGSO) was proposed. Assembly optimization of PCBs for a multihead placement machine is segmented into three problems: the (1) auto nozzle changer (ANC) assembly problem, (2) nozzle setup problem, and (3)

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18

Xu, Hang, Yingxin Li, Cheng Ma, Li Liu, Bingjie Wang, and Jingxia Li. "A Combined Sensing System for Intrusion Detection Using Anti-Jamming Random Code Signals." Sensors 22, no. 11 (2022): 4307. http://dx.doi.org/10.3390/s22114307.

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In order to prevent illegal intrusion, theft, and destruction, important places require stable and reliable human intrusion detection technology to maintain security. In this paper, a combined sensing system using anti-jamming random code signals is proposed and demonstrated experimentally to detect the human intruder in the protected area. This sensing system combines the leaky coaxial cable (LCX) sensor and the single-transmitter-double-receivers (STDR) radar sensor. They transmit the orthogonal physical random code signals generated by Boolean chaos as the detection signals. The LCX sensor

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19

Mohamed and Liu. "Effect of Soil Moisture Content and End-Effector Speed on Pick-up Force and Lump Damage for Seedling Transplanting." AgriEngineering 1, no. 3 (2019): 343–56. http://dx.doi.org/10.3390/agriengineering1030026.

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Efficient transplanting has been identified as one of the essential steps towards achieving an increased yield in the farm. However, many factors are affecting these processes such as soil moisture content and the speed of pickup. This study was carried out to investigate the effect of different soil moisture content and pickup speeds on pickup force, balance, resistance, and lump damage during transplanting of seedlings. The results showed that penetration resistance was inversely proportional to the speed and soil moisture content. The highest penetration resistance (38 N) values were record

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20

Aggarwal, Kanchan, Siddhartha Mukhopadhya, and Arun K. Tangirala. "A prediction framework with time-frequency localization feature for detecting the onset of seismic events." PLOS ONE 16, no. 4 (2021): e0250008. http://dx.doi.org/10.1371/journal.pone.0250008.

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Onset detection of P-wave in seismic signals is of vital importance to seismologists because it is not only crucial to the development of early warning systems but it also aids in estimating the seismic source parameters. All the existing P-wave onset detection methods are based on a combination of statistical signal processing and time-series modeling ideas. However, these methods do not adequately accommodate some advanced ideas that exist in fault detection literature, especially those based on predictive analytics. When combined with a time-frequency (t-f) / temporal-spectral localization

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21

Ballamudi, Koteswara Rao. "Road Accident Analysis and Prediction using Machine Learning Algorithmic Approaches." Asian Journal of Humanity, Art and Literature 6, no. 2 (2019): 185–92. http://dx.doi.org/10.18034/ajhal.v6i2.529.

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Ongoing studies have anticipated that in 2030, car crashes will be the fifth driving reason for death around the world. The main cause of car crashes is difficult to decide these days because of a complex mix of qualities like the mental condition of the driver, road conditions, climate conditions, traffic, and infringement of traffic rules to give some examples. The expenses of fatalities and driver wounds because of car crashes incredibly influence the general public. The use of machine learning methods in the field of road accidents is picking up speed nowadays. The organization of machine

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22

Walch, Maria, Peter Schichtel, Dirk Lehmann, and Amala Paulson. "Meta-Parameter Selection for Embedding Generation of Latency Spaces in Auto Encoder Analytics." Engineering Proceedings 5, no. 1 (2021): 30. http://dx.doi.org/10.3390/engproc2021005030.

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Picking an appropriate parameter setting (meta-parameters) for visualization and embedding techniques is a tedious task. However, especially when studying the latent representation generated by an autoencoder for unsupervised data analysis, it is also an indispensable one. Here we present a procedure using a cross-correlative take on the meta-parameters. This ansatz allows us to deduce meaningful meta-parameter limits using OPTICS, DBSCAN, UMAP, t-SNE, and k-MEANS. We can perform first steps of a meaningful visual analysis in the unsupervised case using a vanilla autoencoder on the MNIST and D

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23

Heinrich, Benjamin C., Thorsten Luettel, Dennis Fassbender, et al. "Prototyping an autonomous delivery vehicle." at - Automatisierungstechnik 66, no. 2 (2018): 160–82. http://dx.doi.org/10.1515/auto-2017-0110.

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AbstractIn this paper, we describe the hardware and software components of a fully autonomous prototype delivery vehicle. Equipped with a robotic arm, the demonstrator is capable of delivering packages and picking up new ones by interacting with custom-made delivery boxes. As highly accurate positioning w. r. t. a box is required for successful handover of packages, we track the pose (position and orientation) of the box using a high-resolution on-board camera. The resulting estimate is relayed to our planning and control modules, which ensure that the vehicle reaches its required pose with ce

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24

Wotruba, Hermann, and Christopher Robben. "Sensor-based ore sorting in 2020." at - Automatisierungstechnik 68, no. 4 (2020): 231–38. http://dx.doi.org/10.1515/auto-2019-0060.

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AbstractSensor-based ore sorting is not a new technology. It has been around since more than 70 years, mainly for diamond concentration, where it was applied to eliminate the security risk of diamonds being stolen from the previously applied grease-tables [13]. Despite a few installations in uranium ore processing, it had no further widespread acceptance in the minerals industry, mainly due to low design capacity. Besides that, sensor-based colour sorters were used in the food industry for small particle sizes (e. g., rice cleaning). It is fact that the first machine designs appropriate for co

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25

Peng, Matthew Jian-qiao, Wei-qiang Yin, Xiangyang Ju, et al. "Three-dimensional image fusion across PET+MRI modalities based on the approach of characteristic coregistration." Biomedizinische Technik/Biomedical Engineering 57, no. 5 (2012). http://dx.doi.org/10.1515/bmt-2011-0120.

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AbstractBecause there is no complete three-dimensional (3D) hybrid detector integrated PET+MRI internationally, this study aims to investigate a registration approach for a two-dimensional (2D) hybrid based on characteristic localization to achieve a 3D fusion from the images of PET and MRI as a whole.A cubic-oriented scheme of “9-point and 3-plane” for a coregistration design was verified to be geometrically practical. Through 3D reconstruction and virtual dissection, human internal feature points were sorted to combine with preselected external feature points for matching process. By followi

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26

Jiang, Ping, Junji Oaki, Yoshiyuki Ishihara, et al. "Learning Suction Graspability Considering Grasp Quality and Robot Reachability for Bin-Picking." Frontiers in Neurorobotics 16 (March 24, 2022). http://dx.doi.org/10.3389/fnbot.2022.806898.

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Deep learning has been widely used for inferring robust grasps. Although human-labeled RGB-D datasets were initially used to learn grasp configurations, preparation of this kind of large dataset is expensive. To address this problem, images were generated by a physical simulator, and a physically inspired model (e.g., a contact model between a suction vacuum cup and object) was used as a grasp quality evaluation metric to annotate the synthesized images. However, this kind of contact model is complicated and requires parameter identification by experiments to ensure real world performance. In

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27

Safari, Mohammad Reza, Kioumars Taheri, Hosein Hashemi, and Ali Hadadi. "Structural smoothing on mixed instantaneous phase energy for automatic fault and horizon picking: case study on F3 North Sea." Journal of Petroleum Exploration and Production Technology, September 30, 2022. http://dx.doi.org/10.1007/s13202-022-01571-5.

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AbstractToday, with the development of 3-D studies and the increase in seismic data volume, there is a growing need to expand interpretation techniques for achieving higher speed and accuracy of interpretation tasks. Determining seismic faults and horizons is vital to accomplish the process as one of the essential stages of data interpretation. With the recent development of computational methods in seismic interpretation and their benefits, different approaches have been promoted. The specialist can make the understanding much faster with higher accuracy. In this research, a fully automated d

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28

Alshahrani, Fahad, John F. Marriott, and Anthony R. Cox. "A qualitative study of prescribing errors among multi-professional prescribers within an e-prescribing system." International Journal of Clinical Pharmacy, November 9, 2020. http://dx.doi.org/10.1007/s11096-020-01192-0.

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Abstract Background Computerised Physician Order Entry (CPOE) is considered to enhance the safety of prescribing. However, it can have unintended consequences and new forms of prescribing error have been reported. Objective The aim of this study was to explore the causes and contributing factors associated with prescribing errors reported by multidisciplinary prescribers working within a CPOE system. Main Outcome Measure Multidisciplinary prescribers experience of prescribing errors in an CPOE system. Method This qualitative study was conducted in a hospital with a well-established CPOE system

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29

Taşcı, Yasemin, Rahime Bedir Fındık, Meryem Kuru Pekcan, Ozan Kaplan, and Mustafa Çelebier. "UPLC-Q-TOF/MS based Untargeted Metabolite and Lipid Analysis on Premature Ovarian Insufficiency Plasma Samples." Current Pharmaceutical Analysis 16 (January 2, 2020). http://dx.doi.org/10.2174/1573412916666200102112339.

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Background: Metabolomics is one of the main areas to understand cellular process at molecular level by analyzing metabolites. In recent years metabolomics has been emerged as key tool to understand molecular basis of disease, find diagnostic and prognostic biomarkers, and develop new treatment opportunities and drug molecules. Objective: In this study, an untargeted metabolite and lipid analysis were performed to identify potential biomarkers on premature ovarian insufficiency plasma samples. 43 POI subject plasma samples were compared with 32 healthy subject plasma samples. Methods: Plasma sa

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30

Zhu, Weiqiang, Alvin Brian Hou, Robert Yang, et al. "QuakeFlow: A Scalable Machine-learning-based Earthquake Monitoring Workflow with Cloud Computing." Geophysical Journal International, September 8, 2022. http://dx.doi.org/10.1093/gji/ggac355.

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Summary Earthquake monitoring workflows are designed to detect earthquake signals and to determine source characteristics from continuous waveform data. Recent developments in deep learning seismology have been used to improve tasks within earthquake monitoring workflows that allow the fast and accurate detection of up to orders of magnitude more small events than are present in conventional catalogs. To facilitate the application of machine-learning algorithms to large-volume seismic records at scale, we developed a cloud-based earthquake monitoring workflow, QuakeFlow, that applies multiple

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31

Hagen, Sal. "“Trump Shit Goes into Overdrive”: Tracing Trump on 4chan/pol/." M/C Journal 23, no. 3 (2020). http://dx.doi.org/10.5204/mcj.1657.

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Content warning: although it was kept to a minimum, this text displays instances of (anti-Semitic) hate speech. During the 2016 U.S. election and its aftermath, multiple journalistic accounts reported on “alt-right trolls” emanating from anonymous online spaces like the imageboard 4chan (e.g. Abramson; Ellis). Having gained infamy for its nihilist trolling subcultures (Phillips, This Is Why) and the loose hacktivist movement Anonymous (Coleman), 4chan now drew headlines because of the alt-right’s “genuinely new” concoction of white supremacy, ironic Internet humour, and a lack of clear leaders

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