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Artículos de revistas sobre el tema "Rule based updates"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 20 de febrero de 2023

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1

Erwig, Martin, and Delin Ren. "A rule-based language for programming software updates." ACM SIGPLAN Notices 37, no. 12 (December 2002): 88–97. http://dx.doi.org/10.1145/636517.636530.

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Salah, Ramzi, Muaadh Mukred, Lailatul Qadri binti Zakaria, Rashad Ahmed, and Hasan Sari. "A New Rule-Based Approach for Classical Arabic in Natural Language Processing." Journal of Mathematics 2022 (January 21, 2022): 1–20. http://dx.doi.org/10.1155/2022/7164254.

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Named entity recognition (NER) is fundamental in several natural language processing applications. It involves finding and categorizing text into predefined categories such as a person's name, location, and so on. One of the most famous approaches to identify named entity is the rule-based approach. This paper introduces a rule-based NER method that can be used to examine Classical Arabic documents. The proposed method relied on triggers words, patterns, gazetteers, rules, and blacklists generated by the linguistic information about entities named in Arabic. The method operates in three stages

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SLOTA, MARTIN, and JOÃO LEITE. "The rise and fall of semantic rule updates based onSE-models." Theory and Practice of Logic Programming 14, no. 6 (August 7, 2013): 869–907. http://dx.doi.org/10.1017/s1471068413000100.

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AbstractLogic programs under the stable model semantics, or answer-set programs, provide an expressive rule-based knowledge representation framework, featuring a formal, declarative and well-understood semantics. However, handling the evolution of rule bases is still a largely open problem. The Alchourrón, Gärdenfors and Makinson (AGM) framework for belief change was shown to give inappropriate results when directly applied to logic programs under a non-monotonic semantics such as the stable models. The approaches to address this issue, developed so far, proposed update semantics based on mani

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Yuan, Peiyan, Xiaoxiao Pang, Ping Liu, and En Zhang. "FollowMe: One Social Importance-Based Collaborative Scheme in MONs." Future Internet 11, no. 4 (April 17, 2019): 98. http://dx.doi.org/10.3390/fi11040098.

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The performance of mobile opportunistic networks mainly relies on collaboration among nodes. Thus far, researchers have ignored the influence of node sociality on the incentive process, leading to poor network performance. Considering the fact that followers always imitate the behavior of superstars, this paper proposes FollowMe, which integrates the social importance of nodes with evolutionary game theory to improve the collaborative behavior of nodes. First, we use the prisoner’s dilemma model to establish the matrix of game gains between nodes. Second, we introduce the signal reference as a

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5

Zheng, Hongdi, Junfeng Wang, Jianping Zhang, and Ruirui Li. "IRTS: An Intelligent and Reliable Transmission Scheme for Screen Updates Delivery in DaaS." ACM Transactions on Multimedia Computing, Communications, and Applications 17, no. 3 (July 22, 2021): 1–24. http://dx.doi.org/10.1145/3440035.

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Desktop-as-a-service (DaaS) has been recognized as an elastic and economical solution that enables users to access personal desktops from anywhere at any time. During the interaction process of DaaS, users rely on screen updates to perceive execution results remotely, and thus the reliability and timeliness of screen updates transmission have a great influence on users’ quality of experience (QoE). However, the efficient transmission of screen updates in DaaS is facing severe challenges: most transmission schemes applied in DaaS determine sending strategies in terms of pre-set rules, lacking t

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Thill, Marc, Christian Jackisch, Wolfgang Janni, Volkmar Müller, Ute-Susann Albert, Ingo Bauerfeind, Jens Blohmer, et al. "AGO Recommendations for the Diagnosis and Treatment of Patients with Locally Advanced and Metastatic Breast Cancer: Update 2019." Breast Care 14, no. 4 (2019): 247–55. http://dx.doi.org/10.1159/000500999.

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Every year the Breast Committee of the Arbeitsgemeinschaft Gynäkologische Onkologie (German Gynecological Oncology Group, AGO), a group of gynecological oncologists specialized in breast cancer and interdisciplinary members specialized in pathology, radiologic diagnostics, medical oncology, and radiation oncology, prepares and updates evidence-based recommendations for the diagnosis and treatment of patients with early and metastatic breast cancer. Every update is performed according to a documented rule-fixed algorithm, by thoroughly reviewing and scoring the recent publications for their sci

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7

Li, Guangquan, Ting Wang, Qi Chen, Peng Shao, Naixue Xiong, and Athanasios Vasilakos. "A Survey on Particle Swarm Optimization for Association Rule Mining." Electronics 11, no. 19 (September 24, 2022): 3044. http://dx.doi.org/10.3390/electronics11193044.

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Association rule mining (ARM) is one of the core techniques of data mining to discover potentially valuable association relationships from mixed datasets. In the current research, various heuristic algorithms have been introduced into ARM to address the high computation time of traditional ARM. Although a more detailed review of the heuristic algorithms based on ARM is available, this paper differs from the existing reviews in that we expected it to provide a more comprehensive and multi-faceted survey of emerging research, which could provide a reference for researchers in the field to help t

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BOYLE, P. A., L. DEL DEBBIO, R. J. HUDSPITH, N. GARRON, E. KERRANE, K. MALTMAN та J. M. ZANOTTI. "LATTICE INPUT ON THE INCLUSIVE τ DECAY Vus PUZZLE". International Journal of Modern Physics: Conference Series 35 (січень 2014): 1460441. http://dx.doi.org/10.1142/s2010194514604414.

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Recent analyses of flavor-breaking hadronic-τ-decay-based sum rules produce values of |Vus| ~ 3σ low compared to 3-family unitarity expectations. An unresolved systematic issue is the significant variation in |Vus| produced by different prescriptions for treating the slowly converging D = 2 OPE series. We investigate the reliability of these prescriptions using lattice data for various flavor-breaking correlators and show the fixed-scale prescription is clearly preferred. Preliminary updates of the conventional τ-based, and related mixed τ-electroproduction-data-based, sum rule analyses incorp

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9

Giacomini, Raffaella, Vasiliki Skreta, and Javier Turen. "Heterogeneity, Inattention, and Bayesian Updates." American Economic Journal: Macroeconomics 12, no. 1 (January 1, 2020): 282–309. http://dx.doi.org/10.1257/mac.20180235.

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We formulate a theory of expectations updating that fits the dynamics of accuracy and disagreement in a new survey of professional forecasters. We document new stylized facts, including the puzzling persistence of disagreement as uncertainty resolves. Our theory explains these facts by allowing for different channels of heterogeneity. Agents produce an initial forecast based on heterogeneous priors and are heterogeneously “inattentive.” Updaters use Bayes’ rule and interpret public information using possibly heterogeneous models. Structural estimation of our theory supports the conclusion that

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10

Rajab, Sharifa. "Rule Base Simplification and Constrained Learning for Interpretability in TSK Neuro-Fuzzy Modelling." International Journal of Fuzzy System Applications 9, no. 2 (April 2020): 31–58. http://dx.doi.org/10.4018/ijfsa.2020040102.

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Neuro-fuzzy systems based on a fuzzy model proposed by Takagi, Sugeno and Kang known as the TSK fuzzy model provide a powerful method for modelling uncertain and highly complex non-linear systems. The initial fuzzy rule base in TSK neuro-fuzzy systems is usually obtained using data driven approaches. This process induces redundancy into the system by adding redundant fuzzy rules and fuzzy sets. This increases complexity which adversely affects generalization capability and transparency of the fuzzy model being designed. In this article, the authors explore the potential of TSK fuzzy modelling

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11

Signes-Pont, Maria Teresa, José Juan Cortés-Plana, and Higinio Mora-Mora. "An Epidemic Grid Model to Address the Spread of Covid-19: A Comparison between Italy, Germany and France." Mathematical and Computational Applications 26, no. 1 (February 8, 2021): 14. http://dx.doi.org/10.3390/mca26010014.

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This paper presents a discrete compartmental Susceptible–Exposed–Infected–Recovered/Dead (SEIR/D) model to address the expansion of Covid-19. This model is based on a grid. As time passes, the status of the cells updates by means of binary rules following a neighborhood and a delay pattern. This model has already been analyzed in previous works and successfully compared with the corresponding continuous models solved by ordinary differential equations (ODE), with the intention of finding the homologous parameters between both approaches. Thus, it has been possible to prove that the combination

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12

Marple, Gary, and David Walker. "Low-cost assimilation for sound speed fields in the PCA framework." Journal of the Acoustical Society of America 152, no. 4 (October 2022): A201. http://dx.doi.org/10.1121/10.0016029.

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Forecast ocean sound speed fields are often inaccurate and need to be reconciled with observation data. Conventional data-assimilation methods used for this are generally quite computationally intensive. A compressed representation of the forecast sound speed fields can be obtained using principal component analysis (PCA), where the forecast fields are represented by a linear combination fo PCA modes. We develop a low-cost assimilation approach that updates the PCA compressed representation of the background forecast field, based on observation data.The approach uses Bayes‘ rule to obtain the

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Cardona, Diana M., Stephanie Peditto, Loveleen Singh, and Stephen Black-Schaffer. "Updates to Medicare's Quality Payment Program That May Impact You." Archives of Pathology & Laboratory Medicine 144, no. 6 (June 1, 2020): 679–85. http://dx.doi.org/10.5858/arpa.2019-0376-ra.

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Context.— Within Medicare's Quality Payment Program, and more specifically the Merit-based Incentive Payment System, pathologists stand to potentially lose or gain approximately $2 billion during the initial 7 years of the program. If you or your group provides services to Medicare beneficiaries, you will likely need to comply with the program. Objective.— To avoid potential reductions in Medicare reimbursement, pathologists need to understand the requirements of these new payment programs. Data Sources.— Each year the Centers for Medicare & Medicaid Services publish a Final Rule detailing

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14

Poenisch, Volker, and Andrew Clark. "Elements of an Interface Standard for Knowledge Sources in Knowledge-Based Engineering." Journal of Computing and Information Science in Engineering 6, no. 1 (June 10, 2005): 78–83. http://dx.doi.org/10.1115/1.2164449.

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Software architectures for knowledge-based engineering often separate applications from their knowledge sources. We propose elements for a new standard for the resulting interface. The fully automatic transfer of knowledge would require a shared engineering ontology. We suggest something less ambitious, namely to make only part of the knowledge machine-intelligible, such as a number embedded in a rule. This proposal still requires a human to code the knowledge from the source into the application. However, it would allow the application to automatically handle some updates to the knowledge sou

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15

Derhab, Abdelouahid, Mohamed Guerroumi, Mohamed Belaoued, and Omar Cheikhrouhou. "BMC-SDN: Blockchain-Based Multicontroller Architecture for Secure Software-Defined Networks." Wireless Communications and Mobile Computing 2021 (April 21, 2021): 1–12. http://dx.doi.org/10.1155/2021/9984666.

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Multicontroller software-defined networks have been widely adopted to enable management of large-scale networks. However, they are vulnerable to several attacks including false data injection, which creates topology inconsistency among controllers. To deal with this issue, we propose BMC-SDN, a security architecture that integrates blockchain and multicontroller SDN and divides the network into several domains. Each SDN domain is managed by one master controller that communicates through blockchain with the masters of the other domains. The master controller creates blocks of network flow upda

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16

Fan, Wenfei, Ruochun Jin, Ping Lu, Chao Tian, and Ruiqi Xu. "Towards event prediction in temporal graphs." Proceedings of the VLDB Endowment 15, no. 9 (May 2022): 1861–74. http://dx.doi.org/10.14778/3538598.3538608.

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This paper proposes a class of temporal association rules, denoted by TACOs, for event prediction. As opposed to previous graph rules, TACOs monitor updates to graphs, and can be used to capture temporal interests in recommendation and catch frauds in response to behavior changes, among other things. TACOs are defined on temporal graphs in terms of change patterns and (temporal) conditions, and may carry machine learning (ML) predicates for temporal event prediction. We settle the complexity of reasoning about TACOs, including their satisfiability, implication and prediction problems. We devel

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17

Li, Jing Jiao, Ho Cholman, Yong Chen, and Song Ho Pak. "A Studying on Implementation of NIDS Pattern Matching Based on FPGA." Advanced Materials Research 403-408 (November 2011): 1985–88. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.1985.

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Intrusion detection for network security is an application area demanding high throughput. The pattern matching in intrusion detection requires extremely high performance to process string matching. Most of pattern matching using software has many time complexities and cannot reach the requirements of high throughput. The pattern matching using hardware considerably improves the speed of matching and has several other advantages. This paper describes a FPGA-based pattern matching architecture, using hashing method called XOR Hashing. The proposed method updates new patterns without reconfigura

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18

Coffey, J. C., R. Sehgal, K. Culligan, C. Dunne, D. McGrath, N. Lawes, and D. Walsh. "Terminology and nomenclature in colonic surgery: universal application of a rule-based approach derived from updates on mesenteric anatomy." Techniques in Coloproctology 18, no. 9 (June 27, 2014): 789–94. http://dx.doi.org/10.1007/s10151-014-1184-2.

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19

Yang, Haohua. "LSTM-Based Deep Model for Investment Portfolio Assessment and Analysis." Applied Bionics and Biomechanics 2022 (July 7, 2022): 1–6. http://dx.doi.org/10.1155/2022/1852138.

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In recent years, within the scope of financial quantification, quantitative investment models that support human-oriented algorithms have been proposed. These models attempt to characterize fiat-delayed series through intelligent acquaintance methods to predict data and arrange investment strategies. The standard long short-term memory (LSTM) neural network has the shortcoming of low effectiveness of the fiscal cycle sequence. This work utters throughout the amended LSTM design. The augury result of the neural reticulation was upgraded by coalesce attentional propose to the LSTM class, and a g

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20

Li, Kun, and Dae-Ki Kang. "Enhanced Generative Adversarial Networks with Restart Learning Rate in Discriminator." Applied Sciences 12, no. 3 (January 24, 2022): 1191. http://dx.doi.org/10.3390/app12031191.

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A series of Generative Adversarial Networks (GANs) could effectively capture the salient features in the dataset in an adversarial way, thereby generating target data. The discriminator of GANs provides significant information to update parameters in the generator and itself. However, the discriminator usually becomes converged before the generator has been well trained. Due to this problem, GANs frequently fail to converge and are led to mode collapse. This situation can cause inadequate learning. In this paper, we apply restart learning in the discriminator of the GAN model, which could brin

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21

Santos, Gabriel, Pedro Faria, Zita Vale, Tiago Pinto, and Juan M. Corchado. "Constrained Generation Bids in Local Electricity Markets: A Semantic Approach." Energies 13, no. 15 (August 2, 2020): 3990. http://dx.doi.org/10.3390/en13153990.

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The worldwide investment in renewable energy sources is leading to the formation of local energy communities in which users can trade electric energy locally. Regulations and the required enablers for effective transactions in this new context are currently being designed. Hence, the development of software tools to support local transactions is still at an early stage and faces the challenge of constant updates to the data models and business rules. The present paper proposes a novel approach for the development of software tools to solve auction-based local electricity markets, considering t

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Yuan, Shuai, and Honglei Wang. "Research on Improvement of the Combination Method for Conflicting Evidence Based on Historical Data." Symmetry 12, no. 5 (May 6, 2020): 762. http://dx.doi.org/10.3390/sym12050762.

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In a multi-sensor system, due to the difference of performance of sensors and the environment in which the sensor collects evidence, evidence collected will be highly conflicting, which leads to the failure of D-S evidence theory. The current research on combination methods of conflicting evidence focuses on eliminating the problem of "Zadeh paradox" brought by conflicting evidence, but do not distinguish the evidence from different sources effectively. In this paper, the credibility of each piece of evidence to be combined is weighted based on historical data, and the modified evidence is obt

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23

Amrr, Syed Muhammad, Abdulrahman Alturki, Ankit Kumar, and M. Nabi. "Prescribed Performance-Based Event-Driven Fault-Tolerant Robust Attitude Control of Spacecraft under Restricted Communication." Electronics 10, no. 14 (July 16, 2021): 1709. http://dx.doi.org/10.3390/electronics10141709.

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This paper explores the problem of attitude stabilization of spacecraft under multiple uncertainties and constrained bandwidth resources. The proposed control law is designed by combining the sliding mode control (SMC) technique with a prescribed performance control (PPC) method. Further, the control input signal is executed in an aperiodic time framework using the event-trigger (ET) mechanism to minimize the control data transfer through a constrained wireless network. The SMC provides robustness against inertial uncertainties, disturbances, and actuator faults, whereas the PPC strategy aims

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Guedeney, Paul, and Jean-Philippe Collet. "Diagnosis and Management of Acute Coronary Syndrome: What is New and Why? Insight From the 2020 European Society of Cardiology Guidelines." Journal of Clinical Medicine 9, no. 11 (October 28, 2020): 3474. http://dx.doi.org/10.3390/jcm9113474.

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The management of acute coronary syndrome (ACS) has been at the center of an impressive amount of research leading to a significant improvement in outcomes over the last 50 years. The 2020 European Society of Cardiology (ESC) Guidelines for the management of patients presenting without persistent ST-segment elevation myocardial infarction have incorporated the most recent breakthroughs and updates from large randomized controlled trials (RCT) on the diagnosis and management of this disease. The purpose of the present review is to describe the main novelties and the rationale behind these recom

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Ivanovic, Stefan, Ana-Maria Olteanu-Raimond, Sébastien Mustière, and Thomas Devogele. "A Filtering-Based Approach for Improving Crowdsourced GNSS Traces in a Data Update Context." ISPRS International Journal of Geo-Information 8, no. 9 (August 30, 2019): 380. http://dx.doi.org/10.3390/ijgi8090380.

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Traces collected by citizens using GNSS (Global Navigation Satellite System) devices during sports activities such as running, hiking or biking are now widely available through different sport-oriented collaborative websites. The traces are collected by citizens for their own purposes and frequently shared with the sports community on the internet. Our research assumption is that crowdsourced GNSS traces may be a valuable source of information to detect updates in authoritative datasets. Despite their availability, the traces present some issues such as poor metadata, attribute incompleteness

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Xu, S., Z. Ji, D. T. Pham, and F. Yu. "Simultaneous localization and mapping: swarm robot mutual localization and sonar arc bidirectional carving mapping." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 225, no. 3 (September 10, 2010): 733–44. http://dx.doi.org/10.1243/09544062jmes2239.

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This work primarily aims to study robot swarm global mapping in a static indoor environment. Due to the prerequisite estimation of the robots' own poses, it is upgraded to a simultaneous localization and mapping (SLAM) problem. Five techniques are proposed to solve the SLAM problem, including the extended Kalman filter (EKF)-based mutual localization, sonar arc bidirectional carving mapping, grid-oriented correlation, working robot group substitution, and termination rule. The EKF mutual localization algorithm updates the pose estimates of not only the current robot, but also the landmark-func

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Hirsch, Joshua A., Andrew B. Rosenkrantz, Sameer A. Ansari, Laxmaiah Manchikanti, and Gregory N. Nicola. "MACRA 2.0: are you ready for MIPS?" Journal of NeuroInterventional Surgery 9, no. 7 (November 24, 2016): 714–16. http://dx.doi.org/10.1136/neurintsurg-2016-012845.

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The annual cost of healthcare delivery in the USA now exceeds US$3 trillion. Fee for service methodology is often implicated as a cause of this exceedingly high figure. The Affordable Care Act created the Center for Medicare and Medicaid Innovation (CMMI) to pilot test value based alternative payments for reimbursing physician services. In 2015, the Medicare Access and CHIP Reauthorization Act (MACRA) was passed into law. MACRA has dramatic implications for all US based healthcare providers. MACRA permanently repealed the Medicare Sustainable Growth Rate so as to stabilize physician part B Med

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Kwon, Yonghwan, Barton A. Forman, Jawairia A. Ahmad, Sujay V. Kumar, and Yeosang Yoon. "Exploring the Utility of Machine Learning-Based Passive Microwave Brightness Temperature Data Assimilation over Terrestrial Snow in High Mountain Asia." Remote Sensing 11, no. 19 (September 28, 2019): 2265. http://dx.doi.org/10.3390/rs11192265.

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This study explores the use of a support vector machine (SVM) as the observation operator within a passive microwave brightness temperature data assimilation framework (herein SVM-DA) to enhance the characterization of snow water equivalent (SWE) over High Mountain Asia (HMA). A series of synthetic twin experiments were conducted with the NASA Land Information System (LIS) at a number of locations across HMA. Overall, the SVM-DA framework is effective at improving SWE estimates (~70% reduction in RMSE relative to the Open Loop) for SWE depths less than 200 mm during dry snowpack conditions. Th

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Tarnowska, Katarzyna A., Arunkumar Bagavathi, and Zbigniew W. Ras. "High-Performance Actionable Knowledge Miner for Boosting Business Revenue." Applied Sciences 12, no. 23 (December 3, 2022): 12393. http://dx.doi.org/10.3390/app122312393.

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This research proposes a novel strategy for constructing a knowledge-based recommender system (RS) based on both structured data and unstructured text data. We present its application to improve the services of heavy equipment repair companies to better adjust to their customers’ needs. The ultimate outcome of this work is a visualized web-based interactive recommendation dashboard that shows options that are predicted to improve the customer loyalty metric, known as Net Promoter Score (NPS). We also present a number of techniques aiming to improve the performance of action rule mining by allo

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Won, Minsu, Hyeonmi Kim, and Gang-Len Chang. "Knowledge-Based System for Estimating Incident Clearance Duration for Maryland I-95." Transportation Research Record: Journal of the Transportation Research Board 2672, no. 14 (August 18, 2018): 61–72. http://dx.doi.org/10.1177/0361198118792119.

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For incident response operations to be appreciated by the general public, it is essential that responsible highway agencies are capable of providing the estimated clearance duration of a detected incident at a level sufficiently reliable for motorists to make proper decisions such as selecting a detour route. Depending on the estimated clearance duration, the incident response center can then implement proper strategies to interact with motorists, ranging from providing incident information only to executing mandatory detouring operations. This study presents a knowledge-based system, based on

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Dona Sabila, Alzena, Mustafid Mustafid, and Suryono Suryono. "Inventory Control System by Using Vendor Managed Inventory (VMI)." E3S Web of Conferences 31 (2018): 11015. http://dx.doi.org/10.1051/e3sconf/20183111015.

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The inventory control system has a strategic role for the business in managing inventory operations. Management of conventional inventory creates problems in the stock of goods that often runs into vacancies and excess goods at the retail level. This study aims to build inventory control system that can maintain the stability of goods availability at the retail level. The implementation of Vendor Managed Inventory (VMI) method on inventory control system provides transparency of sales data and inventory of goods at retailer level to supplier. Inventory control is performed by calculating safet

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Bateman, Alex, Maria-Jesus Martin, Sandra Orchard, Michele Magrane, Rahat Agivetova, Shadab Ahmad, Emanuele Alpi, et al. "UniProt: the universal protein knowledgebase in 2021." Nucleic Acids Research 49, no. D1 (November 25, 2020): D480—D489. http://dx.doi.org/10.1093/nar/gkaa1100.

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Abstract The aim of the UniProt Knowledgebase is to provide users with a comprehensive, high-quality and freely accessible set of protein sequences annotated with functional information. In this article, we describe significant updates that we have made over the last two years to the resource. The number of sequences in UniProtKB has risen to approximately 190 million, despite continued work to reduce sequence redundancy at the proteome level. We have adopted new methods of assessing proteome completeness and quality. We continue to extract detailed annotations from the literature to add to re

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Li, Kelu, Junyuan Yang, and Xuezhi Li. "Effects of co-infection on vaccination behavior and disease propagation." Mathematical Biosciences and Engineering 19, no. 10 (2022): 10022–36. http://dx.doi.org/10.3934/mbe.2022468.

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<abstract><p>Coinfection is the process of an infection of a single host with two or more pathogen variants or with two or more distinct pathogen species, which often threatens public health and the stability of economies. In this paper, we propose a novel two-strain epidemic model characterizing the co-evolution of coinfection and voluntary vaccination strategies. In the framework of evolutionary vaccination, we design two game rules, the individual-based risk assessment (IB-RA) updated rule, and the strategy-based risk assessment (SB-RA) updated rule, to update the vaccination po

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Gezgin, Deniz Mertkan, and Can Mihci. "Smartphone Addiction in Undergraduate Athletes: Reasons and Effects of Using Instagram Intensively." International Journal of Technology in Education and Science 4, no. 3 (June 19, 2020): 188–202. http://dx.doi.org/10.46328/ijtes.v4i3.106.

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Instagram has become a popular social network software based primarily on the concept of sharing visual content. As the most popular mobile application among university students, it is thought to be a major component of excessive smartphone use cases due to the need of its users for frequently checking updates. As a result, heavy Instagram-use for both sharing personally generated content and checking on others’ updates is thought to be a contributor to smartphone addiction. The purpose of this study is to examine the effects of Instagram social network usage characteristics upon smartphone ad

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Patel, A., M. Mazer-Amirshahi, G. Fusch, A. Chan, J. van den Anker, and S. Samiee-Zafarghandy. "P76 The effect of the pregnancy and lactation labeling rule on prescribing information of FDA-approved drugs." Archives of Disease in Childhood 104, no. 6 (May 17, 2019): e48.2-e48. http://dx.doi.org/10.1136/archdischild-2019-esdppp.114.

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BackgroundThe U.S. Food and Drug Administration implemented the new Pregnancy and Lactation Labeling Rule (PLLR) in June 2015. Under PLLR, all new drug applications were to present a narrative risk assessment (as opposed to letter category), while drug approvals after June 2001, were required to phase in by June 2020. The purpose of this study was to assess the quality of presented pregnancy and lactation data in the drug labeling and degree of adherence to the PLLR.Design/MethodsWe reviewed the labeling data of all new molecular entities (NMEs) approved from 1999–2017. The pregnancy and lacta

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Liu, Yin, Huidong Su, Shuanghu Zhang, and Tiantian Jin. "Update of river health assessment indicator system, weight, and assignment criteria in China." Water Supply 21, no. 6 (April 27, 2021): 3153–67. http://dx.doi.org/10.2166/ws.2021.087.

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Abstract Comprehensive assessment of river health is challenging due to the diversity of rivers, the complexity of their ecosystem and functional service. This paper updates the river health assessment indicator system, weight, and assignment criteria in China by reviewing and examining the peer-reviewed literature. We propose an indicator system, weight, and criteria, validated by nine case studies and able to assess the country-scale river health. Our analysis shows that the rule layer of indicator system includes hydrology, water quality, aquatic organism, physical habitats, and functional

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Liu, Cong, Chi Yuan, Alex M. Butler, Richard D. Carvajal, Ziran Ryan Li, Casey N. Ta, and Chunhua Weng. "DQueST: dynamic questionnaire for search of clinical trials." Journal of the American Medical Informatics Association 26, no. 11 (August 7, 2019): 1333–43. http://dx.doi.org/10.1093/jamia/ocz121.

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Abstract Objective Information overload remains a challenge for patients seeking clinical trials. We present a novel system (DQueST) that reduces information overload for trial seekers using dynamic questionnaires. Materials and Methods DQueST first performs information extraction and criteria library curation. DQueST transforms criteria narratives in the ClinicalTrials.gov repository into a structured format, normalizes clinical entities using standard concepts, clusters related criteria, and stores the resulting curated library. DQueST then implements a real-time dynamic question generation

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Ioannidis, Evangelos, Nikos Varsakelis, and Ioannis Antoniou. "Intelligent Agents in Co-Evolving Knowledge Networks." Mathematics 9, no. 1 (January 5, 2021): 103. http://dx.doi.org/10.3390/math9010103.

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We extend the agent-based models for knowledge diffusion in networks, restricted to random mindless interactions and to “frozen” (static) networks, in order to take into account intelligent agents and network co-evolution. Intelligent agents make decisions under bounded rationality. This is the key distinction of intelligent interacting agents compared to mindless colliding molecules, involved in the usual diffusion mechanism resulting from accidental collisions. The co-evolution of link weights and knowledge levels is modeled at the local microscopic level of “agent-to-agent” interaction. Our

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Santos, Douglas, and Jéferson Campos Nobre. "Vulnerability Identification on GNU/Linux Operating Systems through Case-Based Reasoning." Revista de Informática Teórica e Aplicada 26, no. 3 (November 30, 2019): 13–25. http://dx.doi.org/10.22456/2175-2745.82079.

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Operating system security has been steadily evolving over the years. Several mechanisms, softwares and guides of best practices of configuration have been developed to contribute with the security of such systems. The process that makes an operating system safer by considering the default level obtained at the installation is known as hardening. Experience and technical knowledge are important attributes for the professional performing this process. In this context, automated rule-based tools are often used to assist professionals with little experience in vulnerability identification activiti

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40

Murovec, Jure, Janez Kušar, and Tomaž Berlec. "Methodology for Searching Representative Elements." Applied Sciences 9, no. 17 (August 23, 2019): 3482. http://dx.doi.org/10.3390/app9173482.

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Companies have to assure their share on the global market, meet customer demands and produce customer-tailored products. With time and production line updates, the layout becomes non-optimal and product diversity only increases this problem. To stay competitive, they need to increase their productivity and eliminate waste. Due to a variety of products consisting of similar components and variants thereof, a huge number of various elements are encountered in a production process, the material flow of which is hardly manageable. Although the elements differ from each other, their representative

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41

Price, Bronwyn, Nica Huber, Anita Nussbaumer, and Christian Ginzler. "The Habitat Map of Switzerland: A Remote Sensing, Composite Approach for a High Spatial and Thematic Resolution Product." Remote Sensing 15, no. 3 (January 21, 2023): 643. http://dx.doi.org/10.3390/rs15030643.

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Habitat maps at high thematic and spatial resolution and broad extents are fundamental tools for biodiversity conservation, the planning of ecological networks and the management of ecosystem services. To derive a habitat map for Switzerland, we used a composite methodology bringing together the best available spatial data and distribution models. The approach relies on the segmentation and classification of high spatial resolution (1 m) aerial imagery. Land cover data, as well as habitat and species distribution models built on Earth observation data from Sentinel 1 and 2, Landsat, Planetscop

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42

Marshall, Iain J., Benjamin Nye, Joël Kuiper, Anna Noel-Storr, Rachel Marshall, Rory Maclean, Frank Soboczenski, Ani Nenkova, James Thomas, and Byron C. Wallace. "Trialstreamer: A living, automatically updated database of clinical trial reports." Journal of the American Medical Informatics Association 27, no. 12 (September 17, 2020): 1903–12. http://dx.doi.org/10.1093/jamia/ocaa163.

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Abstract Objective Randomized controlled trials (RCTs) are the gold standard method for evaluating whether a treatment works in health care but can be difficult to find and make use of. We describe the development and evaluation of a system to automatically find and categorize all new RCT reports. Materials and Methods Trialstreamer continuously monitors PubMed and the World Health Organization International Clinical Trials Registry Platform, looking for new RCTs in humans using a validated classifier. We combine machine learning and rule-based methods to extract information from the RCT abstr

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43

Allenmark, Fredrik, Ahu Gokce, Thomas Geyer, Artyom Zinchenko, Hermann J. Müller, and Zhuanghua Shi. "Inter-trial effects in priming of pop-out: Comparison of computational updating models." PLOS Computational Biology 17, no. 9 (September 3, 2021): e1009332. http://dx.doi.org/10.1371/journal.pcbi.1009332.

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In visual search tasks, repeating features or the position of the target results in faster response times. Such inter-trial ‘priming’ effects occur not just for repetitions from the immediately preceding trial but also from trials further back. A paradigm known to produce particularly long-lasting inter-trial effects–of the target-defining feature, target position, and response (feature)–is the ‘priming of pop-out’ (PoP) paradigm, which typically uses sparse search displays and random swapping across trials of target- and distractor-defining features. However, the mechanisms underlying these i

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Chen, Yu, Wei Xiang Xu, and Xu Min Liu. "The Association Rules Updating Algorithm Based on Reverse Search." Key Engineering Materials 467-469 (February 2011): 1126–31. http://dx.doi.org/10.4028/www.scientific.net/kem.467-469.1126.

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This paper analyzed the existing association rules update algorithm IUA, found out that when the decision makers gave priority attention to the situation of maximum frequent itemsets, this algorithm cannot lower the cost of the database traversal to quickly access to the largest number of frequent itemsets. For the lack of the algorithm, an algorithm which is based on reverse search approach to update association rules is presented. The updating algorithm based on reverse search first generated all frequent itemsets of new itemsets. Then, it spliced the new largest frequent itemsets and origin

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Seo, Dong Gi. "Overview and current management of computerized adaptive testing in licensing/certification examinations." Journal of Educational Evaluation for Health Professions 14 (July 26, 2017): 17. http://dx.doi.org/10.3352/jeehp.2017.14.17.

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Computerized adaptive testing (CAT) has been implemented in high-stakes examinations such as the National Council Licensure Examination-Registered Nurses in the United States since 1994. Subsequently, the National Registry of Emergency Medical Technicians in the United States adopted CAT for certifying emergency medical technicians in 2007. This was done with the goal of introducing the implementation of CAT for medical health licensing examinations. Most implementations of CAT are based on item response theory, which hypothesizes that both the examinee and items have their own characteristics

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46

Ward, Joel, Andrew N. Papanikitas, Regent Lee, Naomi Warner, Emma Mckenzie-Edwards, Stephen Bergman, and Ashok Inderraj Handa. "‘The House of God’: reflections 40 years on, in conversation with author Samuel Shem." Postgraduate Medical Journal 94, no. 1115 (September 2018): 531–34. http://dx.doi.org/10.1136/postgradmedj-2018-135727.

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The House of God is a seminal work of medical satire based on the gruelling internship experiences of Samuel Shem at the Beth Israel Hospital. Thirteen ‘Laws’ were offered to rationalise the seemingly chaotic patient management and flow. There have been large shifts in the healthcare landscape and practice since, so we consider whether these medical truisms are still applicable to contemporary National Health Service practice and propose updates where necessary:People are sometimes allowed to die.GOMERs (Get Out of My Emergency Room) still go to ground.Master yourself, join the multidisciplina

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Prentzas, Jim, and Ioannis Hatzilygeroudis. "Rule-based update methods for a hybrid rule base." Data & Knowledge Engineering 55, no. 2 (November 2005): 103–28. http://dx.doi.org/10.1016/j.datak.2005.02.001.

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Zhu, Hua Ji, and Hua Rui Wu. "Spatio-Temporal Modeling on Village Land Feature Change." Applied Mechanics and Materials 204-208 (October 2012): 2721–25. http://dx.doi.org/10.4028/www.scientific.net/amm.204-208.2721.

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Village land continually changes in the real world. In order to keep the data up-to-date, data producers need update the data frequently. When the village land data are updated, the update information must be dispensed to the end-users to keep their client-databases current. In the real world, village land changes in many forms. Identifying the change type of village land (i.e. captures the semantics of change) and representing them in the data world can help end-users understand the change commonly and be convenient for end-users to integrate these change information into their databases. Thi

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Brás, Glender, Alisson Marques Silva, and Elizabeth Fialho Wanner. "Multi-gene genetic programming to building up fuzzy rule-base in Neo-Fuzzy-Neuron networks." Journal of Intelligent & Fuzzy Systems 41, no. 1 (August 11, 2021): 499–516. http://dx.doi.org/10.3233/jifs-202146.

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This paper introduces a new approach to build the rule-base on Neo-Fuzzy-Neuron (NFN) Networks. The NFN is a Neuro-Fuzzy network composed by a set of n decoupled zero-order Takagi-Sugeno models, one for each input variable, each one containing m rules. Employing Multi-Gene Genetic Programming (MG-GP) to create and adjust Gaussian membership functions and a Gradient-based method to update the network parameters, the proposed model is dubbed NFN-MG-GP. In the proposed model, each individual of MG-GP represents a complete rule-base of NFN. The rule-base is adjusted by genetic operators (Crossover

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Khan, Muhammad Taimoor, Nouman Azam, Shehzad Khalid, and Furqan Aziz. "Hierarchical lifelong topic modeling using rules extracted from network communities." PLOS ONE 17, no. 3 (March 3, 2022): e0264481. http://dx.doi.org/10.1371/journal.pone.0264481.

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Topic models extract latent concepts from texts in the form of topics. Lifelong topic models extend topic models by learning topics continuously based on accumulated knowledge from the past which is updated continuously as new information becomes available. Hierarchical topic modeling extends topic modeling by extracting topics and organizing them into a hierarchical structure. In this study, we combine the two and introduce hierarchical lifelong topic models. Hierarchical lifelong topic models not only allow to examine the topics at different levels of granularity but also allows to continuou

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