cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Selecting the Best Capacity of Truck Receiving Facilities for Country Grain Elevators
Creators: name: Bouland, Heber D.
name: Bouland, Heber D.
Publisher: name: Unknown
Year: 1967
Subjects: subject: Consumer/Household Economics
subject: Labor and Human Capital
subject: Marketing
subject: FOS: Economics and business
subject: Research and Development/Tech Change/Emerging Technologies
subject: Research Methods/ Statistical Methods

description: Excerpts from the report: One of the main functions of the country grain elevator is to receive grain from the farm at harvesttime. Trucks loaded with grain come from the fields to the elevator, the trucks are weighed, the grain is sampled and then dumped from the truck, and the empty trucks are weighed and returned to the fields for more grain. Considered on a national basis--and even on a local basis--the receiving or unloading of grain trucks is a big and expensive operation. The objectives of this research, therefore, are to provide grain storage operators and design engineers with a scientific basis for planning and designing the capacity of truck unloading systems for grain elevators that minimize operating, ownership, and waiting costs. The purpose is to help the elevator manager select the best capacity of receiving facilities for different ranges of truck receipts.
Minimal hidden sector models for CoGeNT/DAMA events
Creators: name: Cline, James M.
name: Frey, Andrew R.
Publisher: name: arXiv
Year: 2011
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: Motivated by recent attempts to reconcile hints of direct dark matter detection by the CoGeNT and DAMA experiments, we construct simple particle physics models that can accommodate the constraints. We point out challenges for building reasonable models and identify the most promising scenarios for getting isospin violation and inelasticity, as indicated by some phenomenological studies. If inelastic scattering is demanded, we need two new light gauge bosons, one of which kinetically mixes with the standard model hypercharge and has mass < 2 GeV, and another which couples to baryon number and has mass 6.8 +/- 0.2 GeV. Their interference gives the desired amount of isospin violation. The dark matter is nearly Dirac, but with small Majorana masses induced by spontaneous symmetry breaking, so that the gauge boson couplings become exactly off-diagonal in the mass basis, and the small mass splitting needed for inelasticity is simultaneously produced. If only elastic scattering is demanded, then an alternative model, with interference between the kinetically mixed gauge boson and a hidden sector scalar Higgs, is adequate to give the required isospin violation. In both cases, the light kinetically mixed gauge boson is in the range of interest for currently running fixed target experiments.
description: 15 pages, 1 figure; v4: published version; added references on PAMELA constraint and discussion of gauge boson mixing; v3: clarified role of inelastic couplings, added discussion of astrophysical constraints, added references; v2: added references and corrected analysis of exothermic dark matter
The role of sciurids and murids in the dispersal of truffle-forming ectomycorrhizal fungi in the Interior Cedar-Hemlock biogeoclimatic zone
Creators: name: Sidlar, Katherine
Publisher: name: University of British Columbia
Year: 2012

description: Ectomycorrhizal fungi form an integral tripartite relationship with trees and rodents whereby the fungi provide nutritional benefits for the trees, the trees provide carbohydrate for the fungi, and the rodents feed on the fruit bodies produced by the fungi and then disperse the fungal spores in their feces. When forests are harvested, new ectomycorrhizae must form. It has been assumed that dispersal beyond the root zone of surviving trees happens by way of animals dispersing the spores in their feces, but the importance of particular animal taxa to fungal spore dispersal into disturbed areas in the Interior Cedar Hemlock Biogeoclimatic zone of British Columbia has not previously been investigated. This study observed the occurrence and prevalence of hypogeous fruit bodies (truffles) of ectomycorrhizal fungi, and fungal spores in the feces of a range of rodent species. Truffles were excavated and sciurids (squirrels, chipmunks) and murids (mice, voles) were trapped on sites in a 7 to 102-year chronosequence, as well as unharvested sites adjacent to 7- and 25-year-old sites. The average truffle species richness in soil did not change significantly over the chronosequence. Rhizopogon species were present at all sites and treatments. Deer mice (Peromyscus maniculatus) and yellow-pine chipmunks (Tamias amoenus) were the most commonly trapped rodents across all site ages and were also the most likely to move between harvested and unharvested areas. Red-backed voles (Clethrionomys gapperi), red squirrels (Tamiasciurus hudsonicus), and flying squirrels (Glaucomys sabrinus) were also studied, but were trapped in much lower numbers and rarely, if ever, were detected moving between harvested and adjacent mature sites. However, all animal taxa studied carried fungal spores in their feces. Spores of Rhizopogon spp. and Hysterangium separabile were the most frequently consumed by all the animals studied. Because deer mice and chipmunks were the most likely to move between mature and harvested sites and they frequently carried fungal spores in their feces, they are likely the most important mammals for dispersal of ectomycorrhizal fungal spores in this area. This study highlights the importance of small mammal conservation when forest management is considered.
Quantum ergodicity for restrictions to hypersurfaces
Creators: name: Dyatlov, Semyon
name: Zworski, Maciej
Publisher: name: arXiv
Year: 2012
Subjects: subject: Analysis of PDEs (math.AP)
subject: Spectral Theory (math.SP)
subject: FOS: Mathematics

description: Quantum ergodicity theorem states that for quantum systems with ergodic classical flows, eigenstates are, in average, uniformly distributed on energy surfaces. We show that if N is a hypersurface in the position space satisfying a simple dynamical condition, the restrictions of eigenstates to N are also quantum ergodic.
description: 22 pages, 1 figure; revised according to referee's comments. To appear in Nonlinearity
The effects of different parity and delivery mode on wheezing disorders in the children—a retrospective cohort study in Fujian, China
Creators: name: Gao, Haiyan
name: Miao, Chong
name: Li, Haibo
name: Bai, Meng
name: Zhang, Huijie
name: Wu, Zhengqin
name: Li, Wei
name: Liu, Wenjuan
name: Xu, Libo
name: Liu, Guanghua
name: Zhu, Yibing
Publisher: name: Taylor & Francis
Year: 2021
Subjects: Medicine
Cell Biology
Biotechnology
Mathematical Sciences not elsewhere classified

description: The relationship between childbirth delivery methods and the risk of wheezing in children remains controversial. Few studies have explored it under different maternal conditions. To explore the influence of childbirth delivery method on the onset of wheezing in children of different parity. A total of 21716 patients were included in this retrospective observational study. Multivariable logistic regression was used to analyze the relationship between childbirth delivery method and wheezing in children under 18 years of age in Fujian Province. Wheezing differed statistically based on the child’s sex, age, season of onset, parity, jaundice history, and feeding patterns (P < 0.05). After adjusting for confounding factors, in cases of parity greater than two, the risk of wheezing in cesarean section deliveries was higher than that in vaginal deliveries (OR: 1.107; 95% CI 1.010–1.214). In girls with parity greater than two (OR: 1.179; 95% CI 1.003–1.387) and normal-weight infants with parity greater than two (OR: 1.106; 95% CI 1.003–1.220), the risk of wheezing in cesarean section deliveries was higher. The interaction term between the mode of childbirth and parity was significant in girls (P = 0.014). The method of childbirth delivery and parity are related to the risk of wheezing and may be relevant to gender and birth weight. Parity and gender have synergistic effects on wheezing.
Sea Wind Vector Estimation Using C-band Full-polarimetric SAR Data
Creators: name: Yekkehkhany, Bahareh
Publisher: name: Schulich School of Engineering
Year: 2022
Subjects: subject: Earth Observation
subject: Synthetic Aperture Radar
subject: Machine Learning
subject: Neural Network
subject: Random Forests
subject: Polarimetric Parameters
subject: Satellite Imagery
subject: Wind Estimation
subject: Marine Application
subject: Oceanography
subject: FOS: Earth and related environmental sciences
subject: Remote Sensing
subject: Artificial Intelligence
subject: Engineering--Environmental
subject: Engineering--Marine and Ocean

description: This research used neural network (NN) and random forests (RF) models to estimate sea wind speed and direction using synthetic aperture radar (SAR) data. We used RADARSAT (RS)-2 C-band single look complex (SLC) fine quad-polarimetric data and buoy measurements. After data preparation, SAR data are paired with their relevant buoy observation. Then, SAR data parameters expected to be impacted by sea wind are generated. While the spatial resolution of our RS-2 data is 4.7 × 5.1 m, we cropped each image to a chip of 512 × 512 pixels centred by its related buoy and averaged the parameters over the image chip. Therefore, this study’s estimated wind speed and direction resolution is approximately 2.45 × 2.65km. Then, parameters are separated to train and test data by repeated k-fold cross-validation (CV). Also, successive halving random search CV is used to tune NN and RF hyperparameters. To estimate wind speed, least absolute shrinkage and selection operator (LASSO) feature selection determined the HV polarization normalized radar cross section (NRCS) (σ0H V ) and the real part of the correlation coefficient between HV and VH polarization channels (ℜ(ρHV V H)) as models inputs. The bias, root mean square error (RMSE), and correlation coefficient (CC) between the buoy measured and estimated wind speed by NN are 0.08 m/s, 1.96 m/s, and 0.81, and by RF are 0.01 m/s, 1.94 m/s, and 0.82, respectively. The machine learning models are given all SAR parameters as their inputs in estimating wind direction. First, some data bucketing of wind speed bins of 5 m/s and incidence angle bins of 11◦ is done. Finally, the models’ evaluations are based on their performance on each data bucket and the whole dataset by calculating the weighted average of all the data buckets. Then, the bias, RMSE, and CC between the buoy measured and estimated wind direction by NN are −0.69◦, 31.25◦, and 0.58, and by RF are −0.03◦, 25.73◦, and 0.77, respectively. Finally, a permutation feature importance is applied to the trained wind direction models. The imaginary parts of the correlation coefficient between cross- and co-polarization channels, ℑ(ρHHHV ), ℑ(ρHHV H), ℑ(ρV V HV ), and ℑ(ρV V V H), play significant roles in building both NN and RF models.
Anatomy and Physiology of Artificial Intelligence in PET Imaging
Creators: name: Bradshaw, Tyler J.
name: McMillan, Alan B.
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: The influence of artificial intelligence (AI) within the field of nuclear medicine has been rapidly growing. Many researchers and clinicians are seeking to apply AI within PET, and clinicians will soon find themselves engaging with AI-based applications all along the chain of molecular imaging, from image reconstruction to enhanced reporting. This expanding presence of AI in PET imaging will result in greater demand for educational resources for those unfamiliar with AI. The objective of this article to is provide an illustrated guide to the core principles of modern AI, with specific focus on aspects that are most likely to be encountered in PET imaging. We describe convolutional neural networks, algorithm training, and explain the components of the commonly used U-Net for segmentation and image synthesis.
Observation of coherent many-body Rabi oscillations
Creators: name: Dudin, Y. O.
name: Li, L.
name: Bariani, F.
name: Kuzmich, A.
Publisher: name: arXiv
Year: 2012
Subjects: subject: Atomic Physics (physics.atom-ph)
subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: A two-level quantum system coherently driven by a resonant electromagnetic field oscillates sinusoidally between the two levels at frequency $Ω$ which is proportional to the field amplitude [1]. This phenomenon, known as the Rabi oscillation, has been at the heart of atomic, molecular and optical physics since the seminal work of its namesake and coauthors [2]. Notably, Rabi oscillations in isolated single atoms or dilute gases form the basis for metrological applications such as atomic clocks and precision measurements of physical constants [3]. Both inhomogeneous distribution of coupling strength to the field and interactions between individual atoms reduce the visibility of the oscillation and may even suppress it completely. A remarkable transformation takes place in the limit where only a single excitation can be present in the sample due to either initial conditions or atomic interactions: there arises a collective, many-body Rabi oscillation at a frequency $N^0.5Ω$ involving all N >> 1 atoms in the sample [4]. This is true even for inhomogeneous atom-field coupling distributions, where single-atom Rabi oscillations may be invisible. When one of the two levels is a strongly interacting Rydberg level, many-body Rabi oscillations emerge as a consequence of the Rydberg excitation blockade. Lukin and coauthors outlined an approach to quantum information processing based on this effect [5]. Here we report initial observations of coherent many-body Rabi oscillations between the ground level and a Rydberg level using several hundred cold rubidium atoms. The strongly pronounced oscillations indicate a nearly complete excitation blockade of the entire mesoscopic ensemble by a single excited atom. The results pave the way towards quantum computation and simulation using ensembles of atoms.
Producer Delivery Patterns in New England Milk Markets
Creators: name: Russell, Sargent
name: Russell, Sargent
Publisher: name: Unknown
Year: 1964
Subjects: subject: Farm Management
subject: Livestock Production/Industries
subject: Marketing
subject: FOS: Economics and business
subject: Research Methods/ Statistical Methods

description: Excerpts from the report: The five New England Federal order markets were chosen for study. The first month for which producer records were available in all of these markets was April 1959. The three-year period July 1, 1959, to June 30, 1962, was selected. The objectives stated at the beginning of the study were: 1. To describe the variations in patterns of annual production among individual New England milk producers. To describe the annual production changes from year to year of individual producers. 2. To describe the variations among individual New England milk producers in seasonal patterns of production and the variation of individual producers in their own seasonal patterns from year to year. To describe the variations in seasonal patterns for groups of producers within a larger group, and the variation in seasonal pattern from year to year for the same producers. 3. To determine the number and characteristics of farms leaving New England milk markets and the number and characteristics of farms shifting among New England milk markets.
Hydrodynamical simulations and semi-analytic models of galaxy formation: two sides of the same coin
Creators: name: Neistein, Eyal
name: Khochfar, Sadegh
name: Vecchia, Claudio Dalla
name: Schaye, Joop
Publisher: name: arXiv
Year: 2011
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: In this work we develop a new method to turn a state-of-the-art hydrodynamical cosmological simulation of galaxy formation (HYD) into a simple semi-analytic model (SAM). This is achieved by summarizing the efficiencies of accretion, cooling, star formation, and feedback given by the HYD, as functions of the halo mass and redshift. Surprisingly, by turning the HYD into a SAM, we conserve the mass of individual galaxies, with deviations at the level of 0.1 dex, on an object-by-object basis. This is true for all redshifts, and for the mass of stars and gas components, although the agreement reaches 0.2 dex for satellite galaxies at low redshift. We show that the same level of accuracy is obtained even in case the SAM uses only one phase of gas within each galaxy. Moreover, we demonstrate that the formation history of one massive galaxy provides sufficient information for the SAM to reproduce the population of galaxies within the entire cosmological box. The reasons for the small scatter between the HYD and SAM galaxies are: a) The efficiencies are matched as functions of the halo mass and redshift, meaning that the evolution within merger-trees agrees on average. b) For a given galaxy, efficiencies fluctuate around the mean value on time scales of 0.2-2 Gyr. c) The various mass components of galaxies are obtained by integrating the efficiencies over time, averaging out these fluctuations. We compare the efficiencies found here to standard SAM recipes and find that they often deviate significantly. For example, here the HYD shows smooth accretion that is less effective for low mass haloes, and is always composed of hot or dilute gas; cooling is less effective at high redshift; and star formation changes only mildly with cosmic time. The method developed here can be applied in general to any HYD, and can thus serve as a common language for both HYDs and SAM (Abridged).
description: Accepted for publication in MNRAS; text improved in comparison to version 1
Implementation of Four Leadership Competencies within an Alberta High School
Creators: name: Finnigan, Kathleen J.
Publisher: name: Werklund School of Education
Year: 2022
Subjects: subject: Standards
subject: Leadership Quality Standard
subject: Teacher Quality Standard
subject: Competencies
subject: Leadership practices
subject: Principal
subject: High school education
subject: Case study
subject: Systems thinking theory
subject: Education--Administration
subject: Education--Secondary

description: The purpose of this exploratory single case study was to focus on a high school principal’s enactment of high-leverage leadership practices that positively influenced teachers’ instructional practices in one high-performing high school in Alberta with a student population above 1,000. Four competencies were examined: (a) embodying visionary leadership, (b) leading a learning community, (c) providing instructional leadership, (d) and developing leadership capacity in determining a shared instructional leadership approach. The study included 10 participants: one principal, three vice principals, five teachers, and one long-serving superintendent within the school authority. The theoretical framework was based on a systems thinking approach. Analysis of the data collected from interviews, documents, artifacts, and reflective journals yielded 11 findings: (a) redesigning the organization; (b) cultivating strategic alignment to the vision; (c) facilitating shared responsibility; (d) promoting and participating in learning and development; (e) developing a robust mentorship program; (f) managing the instructional program; (g) fostering student-centered instructional approaches; (h) improving visibility and accessibility; (i) being data informed; (j) establishing a distributed leadership structure; and (k) identifying, empowering, and recognizing staff. This study concludes with recommendations, including the key recommendation of making a long-term investment in developing a shared approach to instructional leadership capacity at the jurisdiction and school level to support teaching and learning.
Modelling and Verifying Dynamic Properties of Neuronal Networks in Coq
Creators: name: Bahrami, Abdorrahim
Publisher: name: Université d'Ottawa / University of Ottawa
Year: 2021
Subjects: Neuronal Networks
Leaky Integrate and Fire Modeling
Synchronous Languages
Model Checking
Theorem Proving
Formal Methods
Coq

description: Since the mid-1990s, formal verification has become increasingly important because it can provide guarantees that a software system is free of bugs and working correctly based on a provided model. Verification of biological and medical systems is a promising application of formal verification. Human neural networks have recently been emulated and studied as a biological system. Some recent research has been done on modelling some crucial neuronal circuits and using model checking techniques to verify their temporal properties. In large case studies, model checkers often cannot prove the given property at the desired level of generality. In this thesis, we provide a model using the Coq proof assistant and prove some properties concerning the dynamic behavior of some basic neuronal structures. Understanding the behavior of these modules is crucial because they constitute the elementary building blocks of bigger neuronal circuits. By using a proof assistant, we guarantee that the properties are true in the general case, that is, true for any input values, any length of input, and any amount of time. In this thesis, we define a model of human neural networks. We verify some properties of this model starting with properties of neurons. Neurons are the smallest unit in a human neuronal network. In the next step, we prove properties about functional structures of human neural networks which are called archetypes. Archetypes consist of two or more neurons connected in a suitable way. They are known for displaying some particular classes of behaviours, and their compositions govern several important functions such as walking, breathing, etc. The next step is verifying properties about structures that couple different archetypes to perform more complicated actions. We prove a property about one of these kinds of compositions. With such a model, there is the potential to detect inactive regions of the human brain and to treat mental disorders. Furthermore, our approach can be generalized to the verification of other kinds of networks, such as regulatory, metabolic, or environmental networks.
Identification and validation of potential mRNA- microRNA- long-noncoding RNA (mRNA-miRNA-lncRNA) prognostic signature for cervical cancer
Creators: name: Wang, Jie
name: Zhang, Chen
Publisher: name: Taylor & Francis
Year: 2021
Subjects: subject: Cell Biology
subject: Molecular Biology
subject: Pharmacology
subject: Biotechnology
subject: Biological Sciences not elsewhere classified
subject: Cancer
subject: Hematology
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Computational Biology

description: Cervical cancer is one of the most common causes of cancer deaths in women due to poor prognosis and high mortality rates. A novel mRNA-miRNA-lncRNA signature linked to prognosis of cervical cancer is needed to help clinicians judge the prognosis of individual patients more accurately. On the basis of GEO datasets, a total of 161 upregulated and 242 downregulated DE-mRNAs were identified firstly. Among them, eight potential biomarkers were found to have prognostic values with cervical cancer and miRNAs-lncRNAs related to these biomarkers were then analyzed to create mRNA-miRNA-lncRNA networks in cervical cancer. Moreover, in vitro experiments such as qRT-PCR, western blot and Edu assays were also performed to validate these promising targets. On the basis of these findings, a total of eight mRNA-miRNA-lncRNA subnetworks were finally established as a novel mRNA-miRNA-lncRNA signature and independent prognostic indicator of clinically relevant parameters by ROC analysis, univariate and multivariate Cox regression. Since some work of validation was done, it is believed that this mRNA-miRNA-lncRNA prognostic signature may be applied as a potential clinical judgment to estimate the prognosis of cervical cancer.
Lower and upper bounds on the fidelity susceptibility
Creators: name: Brankov, J. G.
name: Tonchev, N. S.
Publisher: name: arXiv
Year: 2011
Subjects: subject: Quantum Physics (quant-ph)
subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: We derive upper and lower bounds on the fidelity susceptibility in terms of macroscopic thermodynamical quantities, like susceptibilities and thermal average values. The quality of the bounds is checked by the exact expressions for a single spin in an external magnetic field. Their usefulness is illustrated by two examples of many-particle models which are exactly solved in the thermodynamic limit: the Dicke superradiance model and the single impurity Kondo model. It is shown that as far as divergent behavior is considered, the fidelity susceptibility and the thermodynamic susceptibility are equivalent for a large class of models exhibiting critical behavior.
description: 19 pages
Preliminary Pilot Study of Current Practices and Preferences of School Psychologists in Canada
Creators: name: Macmillan, Nicole Santana
Publisher: name: Werklund School of Education
Year: 2022
Subjects: subject: Educational Psychology

description: The current descriptive preliminary/pilot study examined the roles, practices, challenges, and aspirations of practicing school psychologists within Canada, building from previous research done by Jordan et al. (2009). Online self-report measures were utilized with a small sample of 21 respondents who represented five Canadian provinces and the Northwest Territories. The tentative results indicate that practicing school psychologists report similar challenges to previous research, with most feeling understaffed, overworked, and limited in their roles and functions. These findings have possible implications for the field of school psychology, as well as foundations for future research post-pandemic.
Continuous simulation of hypothetical physics processes with multiple free parameters
Creators: name: Zhong, Jiahang
name: Huang, Run-Sheng
name: Lee, Shih-Chang
Publisher: name: arXiv
Year: 2011
Subjects: subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: We propose a new approach to simulate hypothetical physics processes which are defined by multiple free parameters. Compared to the conventional grid-scan approach, the new method can produce accurate estimations of the detector acceptance and signal event yields continuously over the parameter space with fewer simulation events. The performance of this method is illustrated with two realistic cases.
description: 19 pages, 14 figures; ISSN 0168-9002
Symmetry Protected Topological Order and Spin Susceptibility in Superfluid 3He-B
Creators: name: Mizushima, Takeshi
name: Sato, Masatoshi
name: Machida, Kazushige
Publisher: name: arXiv
Year: 2012
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: FOS: Physical sciences

description: We here demonstrate that the superfluid 3He-B under a magnetic field in a particular direction stays topological due to a discrete symmetry, that is, in a symmetry protected topological order. Due to the symmetry protected topological order, helical surface Majorana fermions in the B phase remain gapless and their Ising spin character persists. We unveil that the competition between the Zeeman magnetic field and dipole interaction involves anomalous quantum phase transition where topological phase transition takes place together with spontaneous breaking of symmetry. Based on the quasiclassical theory, we illustrate that the phase transition is accompanied by anisotropic quantum criticality of spin susceptibilities on the surface, which is detectable in NMR experiments.
description: 5 pages, 3 figures
Penelitian Perancangan Sistem Informasi
Creators: name: Riedha Rachmadilla
Publisher: name: Zenodo
Year: 2021

description: Penelitian adalah suatu kegiatan ilmiah yang dilakukan untuk menemukan, mengembangkan, serta menguji kebenaran dari suatu permasalahan atau pengetahuan guna mencari solusi atau pemecahan dari permasalahan-permasalahan tersebut. Penelitian dilakukan karena adanya suatu permasalahan yang melatarbelakanginya. Penelitian harus dilakukan secara terencana, sistematis, berulang, dan terukur. Hal ini dilakukan karena penelitian yang dilakukan harus menghasilkan kesimpulan yang valid dan yang tak kalah penting. Penelitian harus memiliki orisinalitas dan pembaruan serta menghasilkan kontribusi pada pengetahuan. Hasil penelitian pada suatu organisasi instansi atau perusahaan tersebut akan dilakukan analisis serta perancangan hingga menghasilkan suatu sistem informasi berbasis website. Transformasi sistem informasi berbasis website akan menghasilkan suatu pembaruan seperti bertambahnya fitur, yang dikenal sebagai sistem yang berbasis mobile. Transformasi sistem informasi berbasis mobile akan berkembang kembali menjadi sistem informasi berbasis mobile yang akan memudahkan pihak-pihak yang terkait dengan organisasi instansi maupun perusahaan, sehingga mereka dapat mengakses informasi dari mana saja melalui smartphone ataupun gadget yang mereka miliki.
Perturbation theory for very long-range potentials
Creators: name: Escamilla, L.
name: Torres-Arenas, J.
name: Benavides, A. L.
Publisher: name: arXiv
Year: 2012
Subjects: subject: General Physics (physics.gen-ph)
subject: FOS: Physical sciences

description: Systems with very long-range interactions (that decay at large distances like $U(r)\sim r^{-l}$ with $l\le d$ where $d$ is the space dimensionality) are difficult to study by conventional statistical mechanics perturbation methods. Examples of these systems are gravitational and charged (non-electroneutral). In this work we propose two alternative methodologies to avoid these difficulties and capture some of the properties of the original potential. The first one consists in expressing the original potential in terms of a finite sum of hard-core Yukawa potentials. In the second one, the potential is rewritten as a damped potential, using a damping function with a parameter that controls the range of the interaction. These new potentials, which mimic the original one, can now be treated by conventional statistical mechanics methods.
description: 25 pages, 11 figures
IoT-based Analysis for Smart Energy Management
Creators: name: Huang, Guang-Li
name: Anwar, Adnan
name: Loke, Seng W.
name: Zaslavsky, Arkady
name: Choi, Jinho
Publisher: name: arXiv
Year: 2023
Subjects: subject: Systems and Control (eess.SY)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: Smart energy management based on the Internet of Things (IoT) aims to achieve optimal energy utilization through real-time energy monitoring and analyses of power consumption patterns in IoT networks (e.g., residential homes and offices) supported by wireless technologies. This is of great significance for the sustainable development of energy. Energy disaggregation is an important technology to realize smart energy management, as it can determine the power consumption of each appliance from the total load (e.g., aggregated data). Also, it gives us clear insights into users' daily power-consumption-related behaviours, which can enhance their awareness of power-saving and lead them to a more sustainable lifestyle. This paper reviews the state-of-the-art algorithms for energy disaggregation and public datasets of power consumption. Also, potential use cases for smart energy management based on IoT networks are presented along with a discussion of open issues for future study.
Numerical Simulations of Driven Relativistic MHD Turbulence
Creators: name: Zrake, Jonathan
name: MacFadyen, Andrew
Publisher: name: arXiv
Year: 2011
Subjects: subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: Computational Physics (physics.comp-ph)
subject: Fluid Dynamics (physics.flu-dyn)
subject: Plasma Physics (physics.plasm-ph)
subject: FOS: Physical sciences

description: A wide variety of astrophysical phenomena involve the flow of turbulent magnetized gas with relativistic velocity or energy density. Examples include gamma-ray bursts, active galactic nuclei, pulsars, magnetars, micro-quasars, merging neutron stars, X-ray binaries, some supernovae, and the early universe. In order to elucidate the basic properties of the relativistic magnetohydrodynamical (RMHD) turbulence present in these systems, we present results from numerical simulations of fully developed driven turbulence in a relativistically warm, weakly magnetized and mildly compressible ideal fluid. We have evolved the RMHD equations for many dynamical times on a uniform grid with 1024^3 zones using a high order Godunov code. We observe the growth of magnetic energy from a seed field through saturation at about 1% of the total fluid energy. We compute the power spectrum of velocity and density-weighted velocity and conclude that the inertial scaling is consistent with a slope of -5/3. We compute the longitudinal and transverse velocity structure functions of order p up to 11, and discuss their possible deviation from the expected scaling for non-relativistic media. We also compute the scale-dependent distortion of coherent velocity structures with respect to the local magnetic field, finding a weaker scale dependence than is expected for incompressible non-relativistic flows with a strong mean field.
description: Accepted to ApJ
Mapping the Transition to Competence By Design in Public Health and Preventive Medicine in Canada
Creators: name: Mejia, Fernando
Publisher: name: Cumming School of Medicine
Year: 2022
Subjects: subject: Public Health and Preventive Medicine
subject: PHPM
subject: Competence By Design
subject: CBD
subject: Public Health

description: Public Health and Preventive Medicine (PHPM) is a 5-year Royal College of Physicians and Surgeons of Canada (RCPSC) postgraduate medical training program which aims to prepare specialists who work to safeguard and improve the health of populations. In Canada, PHPM offers a broad scope of practice that includes different fields such as clinical, academic, administrative, and/or a mix of any of those. Most commonly, PHPM training prepares graduates to practice as a Medical Officer of Health (MOH) or equivalent. This role serves to protect and promote the wellbeing of populations based on principles of biostatistics and epidemiology, environmental health, social and behavioral sciences, health program planning and policy, management, health economics, and relevant biological and social sciences. PHPM training varies across provinces depending on public health systems and structures. Consequently, implementation of Competence By Design (CBD) in this specialty is inherently challenging. CBD is the outcome-based medical education model mandated by the RCPSC to be adopted in all postgraduate medical training programs in Canada. This constructivist grounded theory (CGT) based study involved 35 iteratively conducted, semi-structured interviews which were analyzed through paired and parallel coding to explore and describe PHPM stakeholders’ perspectives about the landscape in PHPM training and practice in Canada as well as the anticipated changes required for a successful transition to CBD. Challenges of CBD implementation identified in this study included the non-standardized training path across Canada, the scarcity of financial and human resources to support this transition, and the lack of integration of the three different training components in this specialty (clinical, academic, and public health).
Multifractal analyses of row sum signals of elementary cellular automata
Creators: name: Murguia, J. S.
name: Rosu, H. C.
Publisher: name: arXiv
Year: 2011
Subjects: subject: Cellular Automata and Lattice Gases (nlin.CG)
subject: Data Analysis, Statistics and Probability (physics.data-an)
subject: FOS: Physical sciences

description: We first apply the WT-MFDFA, MFDFA, and WTMM multifractal methods to binomial multifractal time series of three different binomial parameters and find that the WTMM method indicates an enhanced difference between the fractal components than the known theoretical result. Next, we make use of the same methods for the time series of the row sum signals of the two complementary ECA pairs of rules (90,165) and (150,105) for ten initial conditions going from a single 1 in the central position up to a set of ten 1's covering the ten central positions in the first row. Since the members of the pairs are actually similar from the statistical point of view, we can check which method is the most stable numerically by recording the differences provided by the methods between the two members of the pairs for various important quantities of the scaling analyses, such as the multifractal support, the most frequent Holder exponent, and the Hurst exponent and considering as the better one the method that provides the minimum differences. According to this criterion, our results show that the MFDFA performs better than WT-MFDFA and WTMM in the case of the multifractal support, while for the other two scaling parameters the WT-MFDFA is the best. The employed set of initial conditions does not generate any specific trend in the values of the multifractal parameters
description: 23 pages including an appendix and 11 figures, extended version accepted for publication by Physica A
Quasiparticle dynamics and phonon softening in FeSe superconductors
Creators: name: Luo, C. W.
name: Wu, I. H.
name: Cheng, P. C.
name: Lin, J-Y
name: Wu, K. H.
name: Uen, T. M.
name: Juang, J. Y.
name: Kobayashi, T.
name: Chareev, D. A.
name: Volkova, O. S.
name: Vasiliev, A. N.
Publisher: name: arXiv
Year: 2012
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: Quasiparticle dynamics of FeSe single crystals revealed by dual-color transient reflectivity measurements (ΔR/R) provides unprecedented information on Fe-based superconductors. The amplitude of fast component in ΔR/R clearly tells a competing scenario between spin fluctuations and superconductivity. Together with the transport measurements, the relaxation time analysis further exhibits anomalous changes at 90 K and 230 K. The former manifests a structure phase transition as well as the associated phonon softening. The latter suggests a previously overlooked phase transition or crossover in FeSe. The electron-phonon coupling constant λ is found to be 0.16, identical to the value of theoretical calculations. Such a small λ demonstrates an unconventional origin of superconductivity in FeSe.
description: Final published version; 5 pages; 4 figures
Bioinformatics for neuroanatomical connectivity
Creators: name: French, Leon Hayes
Publisher: name: University of British Columbia
Year: 2012

description: Neuroscience research is increasingly dependent on bringing together large amounts of data collected at the molecular, anatomical, functional and behavioural levels. This data is disseminated in scientific articles and large online databases. I utilized these large resources to study the wiring diagram of the brain or ‘connectome’. The aims of this thesis were to automatically collect large amounts of connectivity knowledge and to characterize relationships between connectivity and gene expression in the rodent brain. To extract the knowledge embedded in the neuroscience literature I created the first corpus of neuroscience abstracts annotated for brain regions and their connections. These connections describe long distance or macroconnectivity between brain regions. The collection of over 1,300 abstracts allowed accurate training of machine learning classifiers that mark brain region mentions (76% recall at 81% precision) and neuroanatomical connections between regions (50% sentence level recall at 70% precision). By automatically extracting connectivity statements from the Journal of Comparative Neurology I generated a literature based connectome of over 28,000 connections. Evaluations revealed that a large number of brain region descriptions are not found in existing lexicons. To address this challenge I developed novel methods that allow mapping of brain region terms to enclosing structures. To further study the connectome I moved from scientific articles to large online databases. By employing resources for gene expression and connectivity I showed that patterns of gene expression correlate with connectivity. First, two spatially anti-correlated patterns of mouse brain gene expression were identified. These signatures are associated with differences in expression of neuronal and oligodendrocyte markers, suggesting they reflect regional differences in cellular populations. Expression level of these genes is correlated with connectivity degree, with regions expressing the neuron-enriched pattern having more incoming and outgoing connections with other regions. Finally, relationships between profiles of gene expression and connectivity were tested. Specifically, I showed that brain regions with similar expression profiles tend to have similar connectivity profiles. Further, optimized sets of connectivity linked genes are associated with neuronal development, axon guidance and autistic spectrum disorder. This demonstration of text mining and large scale analysis provides new foundations for neuroinformatics.
Interstate Hauling of California-Arizona Fresh Fruits and Vegetables by Rail And Truck
Creators: name: Bennett, Robert M.
name: Bennett, Robert M.
Publisher: name: Unknown
Year: 1964
Subjects: subject: Crop Production/Industries
subject: Marketing
subject: FOS: Economics and business

description: Excerpts from the report: The California -Arizona area is the Nation's leading producer and shipper of fresh fruits and vegetables. The application of modern techniques of agricultural irrigation in a generally dry, semitropical area has created an environment ideally suited to raising vegetable and fruit crops. In recent years, production moved by truck and rail from both States as fresh commodities has averaged about 350,000 carlot equivalents annually. Shipments originate from 24 specialized farming districts scattered over the bi-State area. Many producers in these districts market several harvests a year. This unique production capacity generates a year-round demand for transportation equipment. This report presents an appraisal of the part played by rail and motor carriers in the out-of-State marketing of fresh fruits and vegetables grown in California and Arizona. Major emphasis is focused on the demand for rail or motor transportation. The competitive status of each type of carrier is examined from patterns revealed in 1960 data gathered direct from fruit and vegetable shippers, and from 1951-60 trends derived from data published by the U.S. Department of Agriculture. In addition, the report suggests guidelines for future research in related fields of transportation.
Action Recognition in Video Recordings from Gynecologic Laparoscopy
Creators: name: Nasirihaghighi, Sahar
name: Ghamsarian, Negin
name: Stefanics, Daniela
name: Schoeffmann, Klaus
name: Husslein, Heinrich
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Action recognition is a prerequisite for many applications in laparoscopic video analysis including but not limited to surgical training, operation room planning, follow-up surgery preparation, post-operative surgical assessment, and surgical outcome estimation. However, automatic action recognition in laparoscopic surgeries involves numerous challenges such as (I) cross-action and intra-action duration variation, (II) relevant content distortion due to smoke, blood accumulation, fast camera motions, organ movements, object occlusion, and (III) surgical scene variations due to different illuminations and viewpoints. Besides, action annotations in laparoscopy surgeries are limited and expensive due to requiring expert knowledge. In this study, we design and evaluate a CNN-RNN architecture as well as a customized training-inference framework to deal with the mentioned challenges in laparoscopic surgery action recognition. Using stacked recurrent layers, our proposed network takes advantage of inter-frame dependencies to negate the negative effect of content distortion and variation in action recognition. Furthermore, our proposed frame sampling strategy effectively manages the duration variations in surgical actions to enable action recognition with high temporal resolution. Our extensive experiments confirm the superiority of our proposed method in action recognition compared to static CNNs.
Continuous theory of active matter systems with metric-free interactions
Creators: name: Peshkov, Anton
name: Ngo, Sandrine
name: Bertin, Eric
name: Chaté, Hugues
name: Ginelli, Francesco
Publisher: name: arXiv
Year: 2012
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: FOS: Physical sciences

description: We derive a hydrodynamic description of metric-free active matter: starting from self-propelled particles aligning with neighbors defined by "topological" rules, not metric zones, -a situation advocated recently to be relevant for bird flocks, fish schools, and crowds- we use a kinetic approach to obtain well-controlled nonlinear field equations. We show that the density-independent collision rate per particle characteristic of topological interactions suppresses the linear instability of the homogeneous ordered phase and the nonlinear density segregation generically present near threshold in metric models, in agreement with microscopic simulations.
description: Submitted to Physical Review Letters
Microcanonical Jet-fragmentation in proton-proton collisions at LHC Energy
Creators: name: Urmossy, K.
name: Barnaföldi, G. G.
name: Biró, T. S.
Publisher: name: arXiv
Year: 2012
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: In this paper, we show that the distribution of the longitudinal momentum fraction of charged hadrons $dN/dz$ inside jets stemming from proton-proton collisions at $\sqrt{s}$ = 7 TeV center of mass energy can be described by a statistical jet-fragmentation model. This model combines microcanonical statistics and super-statistics induced by multiplicity fluctuations. The resulting scale dependence of the parameters of the model turns out to be similar to what was observed in electron-positron annihilations in Urmossy, Barnaföldi, and Biró.
description: 7 pages, 8 figures
Spinning a Web with Smudge Smoke, Bear Grease, and Moonlight
Creators: name: Murray, Audie
Publisher: name: Arts
Year: 2022
Subjects: subject: Fine Arts

description: The body of work Bear Grease & Smudge Smoke consists of three artworks: Remnants of Transference, an installation at the Nickle Gallery; Bear Smudge a performance for camera shown in an online gallery; and Spinning a Web with Bear Grease, Smudge Smoke and Moonlight, an abstracted support paper that doubles as an art object shown in an online gallery. Bear Grease & Smudge Smoke investigates the role of the artist in relation to the body, ancestral materials, site, time, and conversations of self-determination. Storytelling, visiting, and dreaming are employed as research collection in order to develop the exhibited and written thesis work. The Spider’s web and Métis worldviews are used as anchoring points in the presented works. Operating from Indigenous understandings of the world and using performance and considered material choice as a source of knowledge, this thesis work focuses on building futures that are in alignment with Indigenous ways of knowing and being.