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Articles 35251 - 35280 of 302506

Full-Text Articles in Physical Sciences and Mathematics

Mgrre_Thinsections_12-A_27, Mgrre Jan 2022

Mgrre_Thinsections_12-A_27, Mgrre

Thin Sections

No abstract provided.


Mgrre_Thinsections_12-A_30, Mgrre Jan 2022

Mgrre_Thinsections_12-A_30, Mgrre

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No abstract provided.


Mgrre_Thinsections_12-A_35, Mgrre Jan 2022

Mgrre_Thinsections_12-A_35, Mgrre

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No abstract provided.


Mgrre_Thinsections_12-A_39, Mgrre Jan 2022

Mgrre_Thinsections_12-A_39, Mgrre

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No abstract provided.


Mgrre_Thinsections_12-A_48, Mgrre Jan 2022

Mgrre_Thinsections_12-A_48, Mgrre

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No abstract provided.


Mgrre_Thinsections_12-A_58, Mgrre Jan 2022

Mgrre_Thinsections_12-A_58, Mgrre

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No abstract provided.


Mgrre_Thinsections_12-A_64, Mgrre Jan 2022

Mgrre_Thinsections_12-A_64, Mgrre

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No abstract provided.


Mgrre_Thinsections_12-A_66, Mgrre Jan 2022

Mgrre_Thinsections_12-A_66, Mgrre

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No abstract provided.


Mgrre_Thinsections_12-A_67, Mgrre Jan 2022

Mgrre_Thinsections_12-A_67, Mgrre

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No abstract provided.


Mgrre_Thinsections_12-A_72, Mgrre Jan 2022

Mgrre_Thinsections_12-A_72, Mgrre

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No abstract provided.


Mgrre_Thinsections_12-A_73, Mgrre Jan 2022

Mgrre_Thinsections_12-A_73, Mgrre

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No abstract provided.


Mgrre_Thinsections_12-A_76, Mgrre Jan 2022

Mgrre_Thinsections_12-A_76, Mgrre

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No abstract provided.


Mgrre_Thinsections_12-A_77, Mgrre Jan 2022

Mgrre_Thinsections_12-A_77, Mgrre

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No abstract provided.


Mgrre_Thinsections_12-A_79, Mgrre Jan 2022

Mgrre_Thinsections_12-A_79, Mgrre

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No abstract provided.


Mgrre_Thinsections_12-A_89, Mgrre Jan 2022

Mgrre_Thinsections_12-A_89, Mgrre

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No abstract provided.


Mgrre_Thinsections_12-A_97, Mgrre Jan 2022

Mgrre_Thinsections_12-A_97, Mgrre

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No abstract provided.


Mgrre_Thinsections_12-A_98, Mgrre Jan 2022

Mgrre_Thinsections_12-A_98, Mgrre

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No abstract provided.


Mgrre_Thinsections_12-A_9, Mgrre Jan 2022

Mgrre_Thinsections_12-A_9, Mgrre

Thin Sections

No abstract provided.


Stripe Order, Impurities, And Symmetry Breaking In A Diluted Frustrated Magnet, Xuecheng Ye, Rajesh Narayanan, Thomas Vojta Jan 2022

Stripe Order, Impurities, And Symmetry Breaking In A Diluted Frustrated Magnet, Xuecheng Ye, Rajesh Narayanan, Thomas Vojta

Physics Faculty Research & Creative Works

We investigate the behavior of the frustrated J1-J2 Ising model on a square lattice under the influence of random dilution and spatial anisotropies. Spinless impurities generate a random-field type disorder for the spin-density wave (stripe) order parameter. These random fields destroy the long-range stripe order in the case of spatially isotropic interactions. Combining symmetry arguments, percolation theory, and large-scale Monte Carlo simulations, we demonstrate that arbitrarily weak spatial interaction anisotropies restore the stripe phase. More specifically, the transition temperature Tc into the stripe phase depends on the interaction anisotropy ΔJ via Tc∼1/|ln(ΔJ)| for small …


Synthesis Of Methanediol [Ch2(Oh)2]: The Simplest Geminal Diol, Cheng Zhu, N. Fabian Kleimeier, Andrew M. Turner, Santosh K. Singh, Ryan C. Fortenberry, Ralf I. Kaiser Jan 2022

Synthesis Of Methanediol [Ch2(Oh)2]: The Simplest Geminal Diol, Cheng Zhu, N. Fabian Kleimeier, Andrew M. Turner, Santosh K. Singh, Ryan C. Fortenberry, Ralf I. Kaiser

Faculty and Student Publications

Geminal diols—organic molecules carrying two hydroxyl groups at the same carbon atom—have been recognized as key reactive intermediates by the physical (organic) chemistry and atmospheric science communities as fundamental transients in the aerosol cycle and in the atmospheric ozonolysis reaction sequence. Anticipating short lifetimes and their tendency to fragment to water plus the aldehyde or ketone, free geminal diols represent one of the most elusive classes of organic reactive intermediates. Here, we afford an exceptional glance into the preparation of the previously elusive methanediol [CH2(OH)2] transient—the simplest geminal diol—via energetic processing of low-temperature methanol–oxygen ices. Methanediol was identified in the …


Greedy Algorithms For Scheduling Package Delivery With Multiple Drones, Francesco Betti Sorbelli, Federico Corò, Sajal K. Das, Lorenzo Palazzetti, Cristina M. Pinotti Jan 2022

Greedy Algorithms For Scheduling Package Delivery With Multiple Drones, Francesco Betti Sorbelli, Federico Corò, Sajal K. Das, Lorenzo Palazzetti, Cristina M. Pinotti

Computer Science Faculty Research & Creative Works

Unmanned Aerial Vehicles (or drones) can be used for a myriad of civil applications, such as search and rescue, precision agriculture, or last-mile package delivery. Interestingly, the cooperation between drones and ground vehicles (trucks) can even enhance the quality of service. In this paper, we investigate the symbiosis among a truck and multiple drones in a last-mile package delivery scenario, introducing the Multiple Drone-Delivery Scheduling Problem (MDSP). From the main depot, a truck takes care of transporting a team of drones that will be used to deliver packages to customers. Each delivery is associated with a drone's energy cost, a …


Distributed Matrix Tiling Using A Hypergraph Labeling Formulation, Avah Banerjee, Maxwell Reeser, Guoli Ding Jan 2022

Distributed Matrix Tiling Using A Hypergraph Labeling Formulation, Avah Banerjee, Maxwell Reeser, Guoli Ding

Computer Science Faculty Research & Creative Works

Partitioning large matrices is an important problem in distributed linear algebra computing, used in ML among others. Briefly, our goal is to perform a sequence of matrix algebra operations in a distributed manner on these large matrices. However, not all partitioning schemes work well with different matrix algebra operations and their implementations (algorithms). This is a type of data tiling problem. In this paper we consider a data tiling problem using hypergraphs. We prove some hardness results and give a theoretical characterization of its complexity on random instances. Additionally, we develop a greedy algorithm and experimentally show its efficacy.


Design, Construction And Operation Of The Protodune-Sp Liquid Argon Tpc, The Dune Collaboration, A. Abed Abud, B. Abi, R. Acciarri, M. A. Acero, M. R. Adames, G. Adamov, D. Adams, M. Adinolfi, A. Aduszkiewicz, J. Aguilar, Z. Ahmad, J. Ahmed, B. Ali-Mohammadzadeh, T. Alion, K. Allison, S. Alonso Monsalve, M. Alrashed, C. Alt, A. Alton, Roberto Petti, Et. Al. Jan 2022

Design, Construction And Operation Of The Protodune-Sp Liquid Argon Tpc, The Dune Collaboration, A. Abed Abud, B. Abi, R. Acciarri, M. A. Acero, M. R. Adames, G. Adamov, D. Adams, M. Adinolfi, A. Aduszkiewicz, J. Aguilar, Z. Ahmad, J. Ahmed, B. Ali-Mohammadzadeh, T. Alion, K. Allison, S. Alonso Monsalve, M. Alrashed, C. Alt, A. Alton, Roberto Petti, Et. Al.

Faculty Publications

The ProtoDUNE-SP detector is a single-phase liquid argon time projection chamber (LArTPC) that was constructed and operated in the CERN North Area at the end of the H4 beamline. This detector is a prototype for the first far detector module of the Deep Underground Neutrino Experiment (DUNE), which will be constructed at the Sandford Underground Research Facility (SURF) in Lead, South Dakota, U.S.A. The ProtoDUNE-SP detector incorporates full-size components as designed for DUNE and has an active volume of 7 × 6 × 7.2 m3. The H4 beam delivers incident particles with well-measured momenta and high-purity particle identification. …


The Analysis Of Results From Paired Paddock Comparisons, David R. Kemp, P. M. Dowling, D. L. Michalk, G. Millar Jan 2022

The Analysis Of Results From Paired Paddock Comparisons, David R. Kemp, P. M. Dowling, D. L. Michalk, G. Millar

IGC Proceedings (1993-2023)

Paired-paddock comparisons are a common way of evaluating new grassland practices at a scale more relevant to farmers. They are also being used to replace or augment designed experiments and can be the only source of information available on a practice. However, it is often uncertain if the differences between paddocks are significant. Importantly, a current trend among funding organisations is to support paddock comparisons. The need for valid procedures to compare unreplicated treatments is increasingly urgent. It is suggested that a range of tools be used to infer statistical significance from using typical error values from related studies or …


Length And Width To Estimate Dry Mass Of Panicum Maximum Cv. Tanzânia Leaves, L. G. Barioni, P. M. Santos, A. Coldebella, M. Corsi Jan 2022

Length And Width To Estimate Dry Mass Of Panicum Maximum Cv. Tanzânia Leaves, L. G. Barioni, P. M. Santos, A. Coldebella, M. Corsi

IGC Proceedings (1993-2023)

An analysis of the relationship of leaf length (LL) and leaf width (LW) with leaf dry weight (LDW) in Panicum maximum was carried out with the objective of improving estimations of tissue flow in that plant. Data was collected in a mob grazing experiment with 28 days grazing interval sampled the day before grazing in 9 grazing cycles. Regression analysis revealed highly significant effect (P < 0.001) of both LL and LW on LDW. A lack of fit test gave strong evidence of non-linear relationship of LDW with LL (p < 0.05), fitting the model 1 0 LDW = β0LLβ1 , while LW presented a linear relation with LDW. LL was a better predictor of LDW than LW. LL solely or in combination with LW produced equations with …


Bioeconomic Model For Decision-Making On Fattening Beef-Cattle, G. Ferreira, O. Cardozo, J. M. Soares De Lima Jan 2022

Bioeconomic Model For Decision-Making On Fattening Beef-Cattle, G. Ferreira, O. Cardozo, J. M. Soares De Lima

IGC Proceedings (1993-2023)

Profitability and competitiveness of agricultural systems it is closely related with the technology used. Economic and financial appraisal of investments on pasture improvements, facilities, feed and management plans, etc. are often required in order to make decisions. A bio-economic simulation model was developed in order to support decision making on beef-cattle grazing fattening. The aim of the model is to show the relationship between the technological alternative analysed in physical terms as well as financial and economic. By this way it is possible to asset and relate the bio-economic impact of the different animal and pasture management alternative technologies. Results …


Sequential Injection Analysis: A Powerful Tool For Routine Soil And Plant Laboratories, A. R. A. Nogueira, F. V. Silva, M. Y. Kamogawa, G. B. Souza, L. F. M. Ferraz Jan 2022

Sequential Injection Analysis: A Powerful Tool For Routine Soil And Plant Laboratories, A. R. A. Nogueira, F. V. Silva, M. Y. Kamogawa, G. B. Souza, L. F. M. Ferraz

IGC Proceedings (1993-2023)

Sequential injection analysis (SIA) present attractive characteristics for analyses in large scale. In SIA the analytical determination can be performed automatically reducing the number of steps usually involved in a chemical analysis. In order to demonstrate the advantages found in the implementation of a SIA procedure in a laboratory dedicated to routine analyze, the determination of volatile nitrogen in silage and soil samples has been performed. The nitrogen content was determined after NH3 on-line separation in alkaline conditions by using a gaseous diffusion or a pervaporation unit for liquid-liquid separation. An ammonium tubular selective electrode detector was used for …


Detecting The Feeding Habitat Zone Of Albacore Tuna (Thunnus Alalunga) In The Southern Indian Ocean Using Multisatellite Remote Sensing Data, Sandipan Mondal, Yang-Chi Lan, Ming-An Lee, Yi-Chen Wang, Bambang Semedi, Wan-Ya Su Jan 2022

Detecting The Feeding Habitat Zone Of Albacore Tuna (Thunnus Alalunga) In The Southern Indian Ocean Using Multisatellite Remote Sensing Data, Sandipan Mondal, Yang-Chi Lan, Ming-An Lee, Yi-Chen Wang, Bambang Semedi, Wan-Ya Su

Journal of Marine Science and Technology

Remote sensing is an effective method for identifying potential feeding habitat zones. Spatial and temporal distribution patterns of albacore (ALB) tuna were studied using Taiwan longline fisheries data from 2009 to 2014. A generalized additive model (GAM) was used to compile a fishery database and statistically explore the relationship between distribution and environmental factors. Sea surface temperature (SST), sea surface chlorophyll-a concentration (SSC), sea surface salinity (SSS), sea surface height (SSH), mixed layer depth (MLD), and eddy kinetic energy (EKE) were examined. The results indicated SST as the largest contributor on ALB distribution, followed by SSS and SSC. Catches per …


Japanese Consumer Preference For Raw Fish: Best–Worst Scaling Method, Takahiro Sajiki, Yu-Heng Lu Jan 2022

Japanese Consumer Preference For Raw Fish: Best–Worst Scaling Method, Takahiro Sajiki, Yu-Heng Lu

Journal of Marine Science and Technology

Given the declining consumption of fish and shellfish in Japan, it is essential to better understand consumer needs to design policies that increase consumption. Therefore, we clarify the relative degree of importance Japanese consumers place on various attributes of raw fish during purchase based on a questionnaire survey employing best–worst scaling. We find that consumers prioritize freshness, price, taste, appearance, safety, seasonality, ease of cooking and eating, nutrition, origin, wild fish, and effect on natural environment and ecosystem, in that order. Wild fish has unexpectedly low importance, although Japanese consumers conventionally purchase captured fishery products rather than cultured ones. The …


Long-Term Variation Of Sea Surface Temperature In Relation To Sea Level Pressure And Surface Wind Speed In Southern Indian Ocean, Sandipan Mondal, Ming-An Lee, Yi-Chen Wang, Bambang Semedi Jan 2022

Long-Term Variation Of Sea Surface Temperature In Relation To Sea Level Pressure And Surface Wind Speed In Southern Indian Ocean, Sandipan Mondal, Ming-An Lee, Yi-Chen Wang, Bambang Semedi

Journal of Marine Science and Technology

Sea surface temperature (SST) is an essential parameter associated with fish habitat and changes in oceanic conditions. Long-term SST variation in relation to sea level pressure (SLP) and surface wind speed (SWS) was observed based on the National Oceanic and Atmospheric Administration (NOAA) data of southern Indian Ocean. Mean monthly time series showed that February and November were the warmest and coolest months, respectively. Spatial distribution showed that 0°S–30°S was warm with SST of 20°–30°C, which was higher than that at all other places throughout the year. SLP (> 1010 millibar) and SWS (> 12 m/s) were high at 20°S–40°S …