Journal articles: 'RMRAFF'

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Choopani, Yahya, Mohammad Reza Razfar, Mohsen Khajehzadeh, and Mohammadreza Khosrojerdi. "Design and development of ultrasonic assisted-rotational magnetorheological abrasive flow finishing (UA-RMRAFF) process." Applied Acoustics 197 (August 2022): 108950. http://dx.doi.org/10.1016/j.apacoust.2022.108950.

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González-Pasayo, Ramón, and Esperanza Martínez-Romero. "Multiresistance Genes of Rhizobium etli CFN42." Molecular Plant-Microbe Interactions® 13, no. 5 (May 2000): 572–77. http://dx.doi.org/10.1094/mpmi.2000.13.5.572.

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Multidrug efflux pumps of bacteria are involved in the resistance to various antibiotics and toxic compounds. In Rhizobium etli, a mutualistic symbiont of Phaseolus vulgaris (bean), genes resembling multidrug efflux pump genes were identified and designated rmrA and rmrB. rmrA was obtained after the screening of transposon-generated fusions that are inducible by bean-root released flavonoids. The predicted gene products of rmrAB shared significant homology to membrane fusion and major facilitator proteins, respectively. Mutants of rmrA formed on average 40% less nodules in bean, while mutants of rmrA and rmrB had enhanced sensitivity to phytoalexins, flavonoids, and salicylic acid, compared with the wild-type strain. Multidrug resistance genes emrAB from Escherichia coli complemented an rmrA mutant from R. etli for resistance to high concentrations of naringenin.

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Zhu, Yuan, Wenjun Gao, and Dengfeng Li. "Characterization of Generators for Multiresolution Analyses with Composite Dilations." Abstract and Applied Analysis 2011 (2011): 1–13. http://dx.doi.org/10.1155/2011/850850.

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This paper introduces multiresolution analyses with composite dilations (AB-MRAs) and addresses frame multiresolution analyses with composite dilations in the setting of reducing subspaces ofL2(ℝn)(AB-RMRAs). We prove that an AB-MRA can induce an AB-RMRA on a given reducing subspaceL2(S)∨. For a general expansive matrix, we obtain the characterizations for a scaling function to generate an AB-RMRA, and the main theorems generalize the classical results. Finally, some examples are provided to illustrate the general theory.

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Heidarzadeh, Siamak, Mojtaba Sharifi, Hassan Salarieh, and Aria Alasty. "A Novel Robust Model Reference Adaptive Impedance Control Scheme for an Active Transtibial Prosthesis." Robotica 37, no. 9 (March 12, 2019): 1562–81. http://dx.doi.org/10.1017/s0263574719000146.

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SummaryIn this paper, a novel robust model reference adaptive impedance control (RMRAIC) scheme is presented for an active transtibial ankle prosthesis. The controller makes the closed loop dynamics of the prosthesis similar to a reference impedance model and provides asymptotic tracking of the response trajectory of this impedance model. The interactions between human and prosthesis are taken into account by designing a second-order reference impedance model. The proposed controller is robust against parametric uncertainties in the nonlinear dynamic model of the prosthesis. Also, the controller has robustness against bounded uncertainties due to unavailable ground reaction forces and unmeasurable feedbacks of accelerations at the socket place. Moreover, an appropriate Series Elastic Actuator (SEA) mechanism for the prosthetic ankle is included in this work and its effects are discussed. Tracking performance and stability of the closed-loop system are proven via the Lyapunov stability analysis. Using simulations on an overall amputee prosthetic foot system, the effectiveness of the proposed RMRAIC controller is investigated for the task of level ground walking.

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Takama, Yasufumi, Yu-Sheng Chen, Ryori Misawa, and Hiroshi Ishikawa. "Analyzing Potential of Personal Values-Based User Modeling for Long Tail Item Recommendation." Journal of Advanced Computational Intelligence and Intelligent Informatics 22, no. 4 (July 20, 2018): 506–13. http://dx.doi.org/10.20965/jaciii.2018.p0506.

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This paper examines the potential of personal values-based user modeling for long tail item recommendation. Long tail items are defined as those which are not popular but are preferred by small numbers of specific users. Although recommending long tail items to relevant users is beneficial for both the providers and consumers of such items, it is known to be a challenge for most recommendation algorithms. In particular, a long tail item is one that would be purchased and/or rated by a small number of users, so it is difficult to predict its rating accurately. This paper assumes that the influence of personal values becomes more obvious when users evaluate long tail items, and examines it through offline experiment. The Rating Matching Rate (RMRate) has been proposed in order to incorporate users’ personal values into recommender systems. As the RMRate models personal values as the weight of an item’s attribute, it is easy to incorporate into existing recommendation algorithms. An experiment was conducted to evaluate the performance of long tail item recommendation; Experimental result shows that personal values-based user modeling can recommend less popular items while maintaining precision.

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Song, X., L. Wu, and G. Liu. "Unsupervised color texture segmentation based on multi-scale region-level Markov random field models." Computer Optics 43, no. 2 (April 2019): 264–69. http://dx.doi.org/10.18287/2412-6179-2019-43-2-264-269.

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In the field of color texture segmentation, region-level Markov random field model (RMRF) has become a focal problem because of its efficiency in modeling the large-range spatial constraints. However, the RMRF defined on a single scale cannot describe the un-stationary essence of the image, which highly limits its robustness. Hence, by combining wavelet transformation and the RMRF model, we present a multi-scale RMRF (MsRMRF) model in wavelet domainin this paper. In the Bayesian framework, the proposed model seamlessly integrates the multi-scale information stemmed from both the original image and the region-level spatial constraints. Therefore, the new model can accurately describe the characteristics of different kinds of texture. Based on MsRMRF, an unsupervised segmentation algorithm is designed for segmenting color texture images. Both synthetic color texture images and remote sensing images are employed in the comparative experiments, and the experimental results show that the proposed method can obtain more accurate segmentation results than the competitors.

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Chen, Zhuo, Hongyu Yang, and Yanli Liu. "An Order Reduction Design Framework for Higher-Order Binary Markov Random Fields." Entropy 25, no. 3 (March 20, 2023): 535. http://dx.doi.org/10.3390/e25030535.

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The order reduction method is an important approach to optimize higher-order binary Markov random fields (HoMRFs), which are widely used in information theory, machine learning and image analysis. It transforms an HoMRF into an equivalent and easier reduced first-order binary Markov random field (RMRF) by elaborately setting the coefficients and auxiliary variables of RMRF. However, designing order reduction methods is difficult, and no previous study has investigated this design issue. In this paper, we propose an order reduction design framework to study this problem for the first time. Through study, we find that the design difficulty mainly lies in that the coefficients and variables of RMRF must be set simultaneously. Therefore, the proposed framework decomposes the design difficulty into two processes, and each process mainly considers the coefficients or auxiliary variables of RMRF. Some valuable properties are also proven. Based on our framework, a new family of 14 order reduction methods is provided. Experiments, such as synthetic data and image denoising, demonstrate the superiority of our method.

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Nonsa-ard, Rujira, Ploypailin Aneknan, Terdthai Tong-un, Sittisak Honsawek, Chanvit Leelayuwat, and Naruemon Leelayuwat. "Telomere Length Is Correlated with Resting Metabolic Rate and Aerobic Capacity in Women: A Cross-Sectional Study." International Journal of Molecular Sciences 23, no. 21 (November 1, 2022): 13336. http://dx.doi.org/10.3390/ijms232113336.

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This study investigated the associations between relative telomere length (RTL) and resting metabolic rate (RMR), resting fat oxidation (RFO), and aerobic capacity and whether oxidative stress and inflammation are the underlying mechanisms in sedentary women. We also aimed to determine whether the correlations depend on age and obesity. Sixty-eight normal weight and 66 obese women participated in this study. After adjustment for age, energy expenditure, energy intake, and education level, the RTL of all participants was negatively correlated with absolute RMR (RMRAB) and serum high-sensitivity C-reactive protein (hsCRP) concentration, and positively correlated with maximum oxygen consumption (V˙O2max) (all p < 0.05). After additional adjustment for adiposity indices and fat-free mass (FFM), RTL was positively correlated with plasma vitamin C concentration (p < 0.05). Furthermore, after adjustment for fasting blood glucose concentration, RTL was negatively correlated with age and positively correlated with V˙O2max (mL/kg FFM/min). We found that normal weight women had longer RTL than obese women (p < 0.001). We suggest that RTL is negatively correlated with RMRAB and positively correlated with aerobic capacity, possibly via antioxidant and anti-inflammatory mechanisms. Furthermore, age and obesity influenced the associations. We provide useful information for the management of promotion strategies for health-related physical fitness in women.

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Abdar, Moloud, and Neil Y. Yen. "Understanding regional characteristics through crowd preference and confidence mining in P2P accommodation rental service." Library Hi Tech 35, no. 4 (November 20, 2017): 521–41. http://dx.doi.org/10.1108/lht-01-2017-0030.

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Purpose This research intends to look at the regional characteristics through an analysis of crowd preference and confidence, and investigates how regional characteristics are going to affect human beings at all aspects in a scenario of sharing economy. The purpose of this paper is to introduce an approach to provide an understandable rating score. Furthermore, the paper aims to find the relationships between different features classified in this study by using machine learning methods. Furthermore, due to the importance of performance of methods, the performance of the features is also improved. Design/methodology/approach The Rating Matching Rate (RMRate) approach is proposed to provide score in terms of simplicity and understandability for all features. The relationships between features can be extracted from accommodation data set using decision tree (DT) algorithms (J48, HoeffdingTree, and REPTree). Usability of these methods was evaluated using different metrics. Two techniques, “ClassBalancer” and “SpreadSubsample,” are applied to improve the performance of algorithms. Findings Experimental outcomes using the RMRate approach show that the scores are very easy to understand. Three property types are very popular almost in all of selected countries in this study (“apartment”, “house”, and “bed and breakfast”). The findings also indicate that “Entire home/apt” is the most common room-type and 4.5 and 5 star-rating are the most given star-rating by users. The proposed DT algorithms can find the relationships between features significantly. In addition, applied CB and SS techniques could improve the performance of algorithms efficiently. Originality/value This study gives precise details about the guests’ preferences and hosts’ preferences. The proposed techniques can effectively improve the performance in predicting the behavior of users in sharing economy. The findings can also help group decision making in P2P platforms efficiently.

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Evald, Paulo Jefferson Dias de Oliveira. "A Direct Discrete-Time Output Feedback-based LS-RMRAC for Grid-tied Current Control Loop of a Static 3-Wire Converter under Unbalanced Grid Voltage Conditions." ForScience 10, no. 1 (July 13, 2022): e00993. http://dx.doi.org/10.29069/forscience.2022v10n1.e993.

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Nowadays, renewable energy generation is a worldwide tendency. These clean sources are generally tied to the grid by voltage-fed static converters. In this work, a direct discrete-time Output Feedback-based LS (Least Squares)-RMRAC (Robust Model Reference Adaptive Control) is proposed for grid-side current loop control of a static 3-wire converter connected to the grid through LCL filter. The proposed control method mitigates the LCL filter resonance,rejects grid disturbances without needing Resonant Controllers implementation, and deals properly with grid uncertainties and parametric variations, being suitable for grids with unbalanced voltage conditions. Simulation results of proposed controller are presented. Keywords: Robust Adaptive Control. Grid-tied converter. LCL filter.

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HongZhe Jin and JangMyung Lee. "An RMRAC Current Regulator for Permanent-Magnet Synchronous Motor Based on Statistical Model Interpretation." IEEE Transactions on Industrial Electronics 56, no. 1 (January 2009): 169–77. http://dx.doi.org/10.1109/tie.2008.928554.

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Silveira, Wagner Barreto da, Deise Maria Cirolini Milbradt, Guilherme Vieira Hollweg, Paulo Jefferson Dias de Oliveira Evald, Rodrigo Varella Tambara, and Hilton Abílio Gründling. "A NEW DISCRETE-TIME ROBUST ADAPTIVE PREDICTIVE CONTROL-BASED RMRAC APPLIED TO GRID CONNECTED CONVERTERS WITH LCL FILTER / UM NOVO CONTROLADOR PREDITIVO ROBUSTO ADAPTATIVO BASEADO EM RMRAC EM TEMPO DISCRETO APLICADO A CONVERSORES CONECTADOS À REDE COM FILTRO LCL." Brazilian Journal of Development 7, no. 3 (2021): 21555–73. http://dx.doi.org/10.34117/bjdv7n3-053.

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Théopihile, Maoudombaye, Mahamat Seid Ali, Gomoung Doloum, Ngatchic Metsagang Therese Josiane, and G. Ndoutamia. "An Evaluation of the Protein Digestibility of Flours and Derived Protein Rich Product of Three Varieties of Mucuna Pruriens (L.) From Rats (Rattus Norvegicus) Males in Growth." International Journal of Applied Sciences and Biotechnology 5, no. 3 (September 27, 2017): 284–92. http://dx.doi.org/10.3126/ijasbt.v5i3.18119.

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The objective of the present study is to evaluate the proteinaceous digestibility of crude flours and derived protein rich product of three varieties of Mucuna pruriens of the male albino rats in growth. 48 rats have been taken randomly split up into 8 groups where 6 each according to their formulated feedings; those foods are: foods without protein (RSP), foods with casein (RC), food with the black macuna derived protein rich product (RMNc), food with the scratch macuna derived protein rich product (RMRc), food with the white macuna derived protein rich product (RMBc), food with the black macuna crude flours (RMNf), food with the scratch macuna crude flours (RMRf) et food with the white macuna crude flours (RMBf). All those foods content the same quantity of azote excepted foods without protein. Rats have been isolated in the semi metabolic cages which allow gathering the remaining of the foods supplied and the faeces to determine the parameter values of consumption. The experiment has taken 28 days. The apparent and reel protein digestibilities obtained in each food are respectively : RC (76,63±0,36% ; 95,86±0,06%), RMNc (71,20±0,77% ; 91,60±0,99%), RMRc (73,68±0,23% ; 93,49±0,85%), RMBc (71,16±0,59% ; 92,03±0,70%), RMNf (33,25±1,91% ; 53,881±1,70%), RMRf (31,3±2,40% ; 52,12±2,22%) and RMBf (31,12±4,00% ; 51,92±3,8%). The results show that derived protein rich product have ameliorated the protein digestibility and could be the alternative for the use of seeds of Mucuna pruriens to feed human beings and animals.Int. J. Appl. Sci. Biotechnol. Vol 5(3): 284-292

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Wei, Hongbo, Md Arafatur Rahman, Xu Hu, Lin Zhang, Lieyan Guo, Hai Tao, and Sinan Q. Salih. "Robotic Mounted Rail Arm System for implementing effective workplace safety for migrant workers." Work 68, no. 3 (March 26, 2021): 845–52. http://dx.doi.org/10.3233/wor-203418.

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BACKGROUND: The selection of orders is the method of gathering the parts needed to assemble the final products from storage sites. Kitting is the name of a ready-to-use package or a parts kit, flexible robotic systems will significantly help the industry to improve the performance of this activity. In reality, despite some other limitations on the complexity of components and component characteristics, the technological advances in recent years in robotics and artificial intelligence allows the treatment of a wide range of items. OBJECTIVE: In this article, we study the robotic kitting system with a Robotic Mounted Rail Arm System (RMRAS), which travels narrowly to choose the elements. RESULTS: The objective is to evaluate the efficiency of a robotic kitting system in cycle times through modeling of the elementary kitting operations that the robot performs (pick and room, move, change tools, etc.). The experimental results show that the proposed method enhances the performance and efficiency ratio when compared to other existing methods. CONCLUSION: This study with the manufacturer can help him assess the robotic area performance in a given design (layout and picking a policy, etc.) as part of an ongoing project on automation of kitting operations.

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Liu, Guoying, Pengwei Li, and Yun Zhang. "A Color Texture Image Segmentation Method Based on Fuzzy c-Means Clustering and Region-Level Markov Random Field Model." Mathematical Problems in Engineering 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/240354.

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This paper presents a variation of the fuzzy local information c-means clustering (FLICM) algorithm that provides color texture image clustering. The proposed algorithm incorporates region-level spatial, spectral, and structural information in a novel fuzzy way. The new algorithm, called RFLICM, combines FLICM and region-level Markov random field model (RMRF) together to make use of large scale interactions between image patches instead of pixels. RFLICM can overcome the weakness of FLICM when dealing with textured images and at the same time enhances the clustering performance. The major characteristic of RFLICM is the use of a region-level fuzzy factor, aiming to guarantee texture homogeneity and preserve region boundaries. Experiments performed on synthetic and remote sensing images show that RFLICM is effective in providing accuracy to color texture images.

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Van Pelt, Rachael E., Frank A. Dinneno, Douglas R. Seals, and Pamela Parker Jones. "Age-related decline in RMR in physically active men: relation to exercise volume and energy intake." American Journal of Physiology-Endocrinology and Metabolism 281, no. 3 (September 1, 2001): E633—E639. http://dx.doi.org/10.1152/ajpendo.2001.281.3.e633.

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We tested the hypothesis that resting metabolic rate (RMR) declines with age in physically active men (endurance exercise ≥3 times/wk) and that this decline is related to weekly exercise volume (h/wk) and/or daily energy intake. Accordingly, we studied 137 healthy adult men who had been weight stable for ≥6 mo: 32 young [26 ± 1 (SE) yr] and 34 older (62 ± 1 yr) sedentary males (internal controls); and 39 young (27 ± 1 yr) and 32 older (63 ± 2 yr) physically active males (regular endurance exercise). RMR was measured by indirect calorimetry (ventilated hood system) after an overnight fast and ∼24 h after exercise. Because RMR is related to fat-free mass (FFM; r = 0.76, P < 0.001, current study), FFM was covaried to adjust RMR (RMRadj). RMRadjwas lower with age in both the sedentary (72.0 ± 2.0 vs. 64.0 ± 1.3 kcal/h, P < 0.01) and the physically active (76.6 ± 1.1 vs. 67.9 ± 1.2 kcal/h, P < 0.01) males. In the physically active men, RMRadjwas related to both exercise volume (no. of h/wk, regardless of intensity; r = 0.56, P < 0.001) and estimated energy intake ( r = 0.58, P < 0.001). Consistent with these relations, RMRadjwas not significantly different in subgroups of young and older physically active men matched either for exercise volume (h/wk; n = 11 each) or estimated energy intake (kcal/day; n = 6 each). These results indicate that 1) RMR, per unit FFM, declines with age in highly physically active men; and 2) this decline is related to age-associated reductions in exercise volume and energy intake and does not occur in men who maintain exercise volume and/or energy intake at a level similar to that of young physically active men.

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Tadius, Michael Christofer. "Analisis Pengaruh Pandemi Coronavirus Disease 2019 Terhadap Short Term Response Pasar Saham Di Indonesia [Analysis of the Influence of 2019 Coronavirus Disease Pandemic on the Short-Term Response of the Stock Market in Indonesia]." Jurnal Finansial dan Perbankan (JFP) 1, no. 2 (July 29, 2022): 75. http://dx.doi.org/10.19166/jfp.v1i2.5666.

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The purpose of the research carried out was to determine the influence of the 2019 coronavirus disease pandemic on the short-term response of the stock market in Indonesia. The Independent Variable used is RMRF. While the dependent variables in the study are JCI, FMS, PRW, and TRANS. The sources collected from this study use secondary data sources in the form of company investment reports, company size based on market cap, and company profitability. The research analysis method uses Eviews 12. The results obtained show that (1) The Coronavirus Disease 2019 pandemic has a negative impact on the brief response of the Indonesian stock market, (2) the Coronavirus Disease 2019 pandemic has put negative pressure on the response of the tourism subsector in Indonesia, (3) the Coronavirus Disease pandemic 2019 has briefly put negative pressure on the pharmaceutical subsector in Indonesia, (4) The pandemic Coronavirus Disease 2019 puts negative pressure on the transportation subsector in Indonesia.BAHASA INDONESIA ABSTRACTTujuan penelitian yang dilakukan adalah untuk mengetahui pengaruh pandemi coronavirus disease 2019 terhadap respon jangka pendek pasar saham di Indonesia. Variabel Independen yang digunakan adalah RMRF. Sedangkan variabel dependen dalam penelitian adalah IHSG, FMS, PRW, dan TRANS. Sumber yang dikumpulkan dari penelitian ini menggunakan sumber data sekunder berupa laporan investasi perusahaan, ukuran perusahaan berdasarkan market cap, dan profitabilitas perusahaan. Metode analisis penelitian menggunakan Eviews 12. Hasil yang diperoleh menunjukkan bahwa (1) Pandemi Coronavirus Disease 2019 memberikan dampak negatif terhadap respon singkat pasar saham Indonesia, (2) Pandemi Coronavirus Disease 2019 memberikan tekanan negatif terhadap respon subsektor pariwisata di Indonesia, (3) Pandemi Coronavirus Disease 2019 memberikan tekanan negatif secara singkat terhadap subsektor farmasi di Indonesia, (4) Pandemi Coronavirus Disease 2019 memberikan tekanan negatif terhadap subsektor transportasi di Indonesia.

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Yaacob, Nor Suhaila, Mohd Fadzli Ahmad, Nobuyuki Kawasaki, Maegala Nallapan Maniyam, Hasdianty Abdullah, Emi Fazlina Hashim, Fridelina Sjahrir, Wan Muhammad Ikram Wan Mohd Zamri, Kazuhiro Komatsu, and Victor S. Kuwahara. "Kinetics Growth and Recovery of Valuable Nutrients from Selangor Peat Swamp and Pristine Forest Soils Using Different Extraction Methods as Potential Microalgae Growth Enhancers." Molecules 26, no. 3 (January 27, 2021): 653. http://dx.doi.org/10.3390/molecules26030653.

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Soil extracts are useful nutrients to enhance the growth of microalgae. Therefore, the present study attempts for the use of virgin soils from Peninsular Malaysia as growth enhancer. Soils collected from Raja Musa Forest Reserve (RMFR) and Ayer Hitam Forest Reserve (AHFR) were treated using different extraction methods. The total dissolved nitrogen (TDN), total dissolved phosphorus (TDP), and dissolved organic carbon (DOC) concentrations in the autoclave methods were relatively higher than natural extraction with up to 132.0 mg N/L, 10.7 mg P/L, and 2629 mg C/L, respectively for RMFR. The results of TDN, TDP, and DOC suggested that the best extraction methods are autoclaved at 121 °C twice with increasing 87%, 84%, and 95%, respectively. Chlorella vulgaris TRG 4C dominated the growth at 121 °C twice extraction method in the RMRF and AHRF samples, with increasing 54.3% and 14%, respectively. The specific growth rate (µ) of both microalgae were relatively higher, 0.23 d−1 in the Ayer Hitam Soil. This extract served well as a microalgal growth promoter, reducing the cost and the needs for synthetic medium. Mass production of microalgae as aquatic feed will be attempted eventually. The high recovery rate of nutrients has a huge potential to serve as a growth promoter for microalgae.

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Khan, Adnan Shahid. "Secure and Efficient Distributed Relay-Based Rekeying Algorithm for Group Communication in Mobile Multihop Relay Network." International Journal of Communication Networks and Information Security (IJCNIS) 6, no. 3 (April 17, 2022). http://dx.doi.org/10.17762/ijcnis.v6i3.745.

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In mobile multihop relay (MMR) networks, Relay multicast rekeying algorithm (RMRA) is meant to ensure secure multicast communication and selective updating of keys in MMR networks. However, in RMRA, the rekeying is carried out after a specific interval of time, which cannot ensure the security for multicast communication on joining the member. Secondly, the rekeying scheme generates a huge communication overhead on the serving multihop relay base station (MR-BS) on frequent joining of members. Lastly, there is nothing about when a member left the group communication. Thus, the rekeying scheme of RMRA fails to provide forward and backward secrecy and also is not scalable. To solve this problem, an improved rekeying scheme based on broadcasting a new seed value on joining and leaving of a member for updating the ongoing key management is proposed. The proposed scheme solves the issue of forward and backward secrecy and the scalability in a very simplified way. The forward and backward secrecy of the proposed scheme has been extensively validated by formal method using rank theorem. Furthermore, mathematical derivation showed that the proposed scheme out-performed the RMRA in terms of communication cost and complexity.

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"An RMRAC Controller for Permanent Magnet Synchronous Motor Based On Modified Current Dynamics." Journal of Institute of Control, Robotics and Systems 14, no. 10 (October 1, 2008): 991–97. http://dx.doi.org/10.5302/j.icros.2008.14.10.991.

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Evald, Paulo Jefferson Dias de Oliveira. "A PERFORMANCE COMPARISON OF DISCRETE-TIME LEAST SQUARES-BASED ROBUST MODEL REFERENCE ADAPTIVE CONTROL APPROACHES APPLIED ON GRID-SIDE CURRENT CONTROL OF GRID-TIED POWER CONVERTERS BY LCL FILTER." Revista Mundi Engenharia, Tecnologia e Gestão (ISSN: 2525-4782) 6, no. 2 (August 19, 2021). http://dx.doi.org/10.21575/25254782rmetg2021vol6n21533.

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In this work, two Robust Model Reference Adaptive Control (RMRAC) for grid-side current control of a static 3-wire converter with LCL filter are implemented and compared. The adaptation law used to adjust gains online is a modified Least Square (LS) algorithm. In both methods there is no need using resonant controllers to reject exogenous disturbance. Thereby, it is presented, step-by-step, how to implement both strategies, pointing out benefits and drawbacks of each technique and comparing their performance to track model reference output and robustness to deal with parametric variation of grid conditions. The performance comparison parameters considered are: THD (Total Harmonics Distortion), mean of absolute tracking error and maximum overshoot. Simulation results are presented to support the discussion.

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Calhoun, Peter, Richard A. Levine, and Juanjuan Fan. "Repeated measures random forests (RMRF): Identifying factors associated with nocturnal hypoglycemia." Biometrics, May 6, 2020. http://dx.doi.org/10.1111/biom.13284.

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Dias de Oliveira Evald, Paulo Jefferson, Guilherme Vieira Hollweg, Rodrigo Varella Tambara, and Hilton Abílio Gründling. "A new discrete‐time PI‐RMRAC for grid‐side currents control of grid‐tied three‐phase power converter." International Transactions on Electrical Energy Systems, June 17, 2021. http://dx.doi.org/10.1002/2050-7038.12982.

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Blake, Nathan E., Matthew Walker, Shane Plum, Jason A. Hubbart, Joseph Hatton, Domingo Mata-Padrino, Ida Holásková, and Matthew E. Wilson. "Predicting dry matter intake in beef cattle." Journal of Animal Science, August 10, 2023. http://dx.doi.org/10.1093/jas/skad269.

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Abstract Technology that facilitates estimations of individual animal dry matter intake rates in group-housed settings will improve production and management efficiencies. Estimating dry matter intake in pasture settings or facilities where feed intake cannot be monitored may benefit from predictive algorithms that use other variables as proxies. This study examined the relationships between dry matter intake (DMI), animal performance, and environmental variables. Here we determined whether a machine learning approach can predict DMI from measured water intake variables, age, sex, full body weight, and average daily gain (ADG). Two hundred and five animals were studied in a drylot setting (152 bulls for 88 days and 53 steers for 50 days). Collected data included daily DMI, water intake, daily predicted full body weights, and average daily gain using In-Pen-Weighing Positions and Feed Intake Nodes. After exclusion of 26 bulls of low-frequency breeds and one severe (greater than 3 standard deviations) outlier, the final number of animals used for modeling were 178 (125 bulls, 53 steers). Climate data were recorded at 30-minute intervals throughout the study period. Random Forest Regression (RFR) and Repeated Measures Random Forest (RMRF) were used as a machine learning approaches to develop a predictive algorithm. Repeated Measures ANOVA (RMANOVA)was used as the traditional approach. Using the RMRF method, an algorithm was constructed that predicts an animal’s DMI within 0.75 kg. Evaluation and refining of algorithms used to predict DMI in drylot by adding more representative data will allow for future extrapolation to controlled small plot grazing and, ultimately, more extensive group field settings.

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Yin, Lianqian, and Qiuju Wang. "China's Green Finance Premium Anomalies Based on Factor Models." Journal of Applied Finance & Banking, August 4, 2022, 57–76. http://dx.doi.org/10.47260/jafb/1264.

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Abstract The positive externalities of green producers usually reduce the company's earnings. Whether the markets give sufficient premium is important. Sampling the data of listed companies from May 2005 to April 2017 in Shanghai and Shenzhen A-share main-board markets, we construct 12 portfolios based on market factor RMRF, scale factor SMB, book-to-market factor HML and green factor GF. Results show: 1) SMB premium is significant positive, while HML is negative; 2) For green concept stocks, HML has a significant positive impact; 3) Portfolio with non-green concept stocks has a higher return; 4) GF has a significant negative risk premium on China’s green concept stocks, and the premium level will decrease as the book-to-market ratio increases. The interpretation of the above premium anomalies improves national environmental protection policies which is of great significance for the formation of a sound environmental protection industry. Keywords: Factor Model; Green Finance; Premium Anomalies; Excess Return; Environmental Protection.

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Balsotti, Riccardo, and Maria Governa. "Evaluation of groundwater monitoring according to 2000/60/EC and 2006/118/EC directives in Piedmont." Acque Sotterranee - Italian Journal of Groundwater 2, no. 3 (September 30, 2013). http://dx.doi.org/10.7343/as-041-13-0067.

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Abstract:

In order to optimize monitoring activities as well to adapt it to legislative framework, since 2011 Piedmont Regional Groundwater Monitoring Network (RMRAS) has undergone several upgrades interesting both number of monitoring points and such points location. This process, according to WFD proceedings, has also involved modifications on the analytical protocol adopted as well as on the final configuration of groundwater bodies (GWB) Main results from first WFD triennium implementation (2009- 2011), by applying the new monitoring system, has had as a consequence a new definition of Chemical Status, according to D.lgs. 30/2009 and Decreto 260/2010, which allows us to express some considerations on the methodological approach proposed by the above mentioned legislation. In general, emerges a very articulated monitoring and classification system which allows to provide additional elements of knowledge than in the past. Others innovative aspects include modulation of monitoring cycles (Surveillance-Operational Monitoring and Punctual Operational Monitoring) related with an upgrade of analytical programs, toward a general approach much more tied to the pressures which are insisting over GWBs. Study of main contaminants occurrences compared with their SQA/ VS allow to obtain a more detailed overview to assess main implications that favored groundwater contamination. Chemical Status definition may be influenced by the natural background values (VF) of certain elements in very specific context. In Piedmont case such phenomena involves Nickel and ChromeVI. VF determination can give as a result VS modification for the considered elements inside the entire GWB area or parts of it. However, difficulties arise when attempting accurate discrimination from mixed contributions (natural + anthropogenic) occurring in complex environmental scenarios.

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Journal articles on the topic 'RMRAFF'

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