Identification of Demand through Statistical Distribution Modeling for Improved Demand Forecasting

Demand functions for goods are generally cyclical in nature with characteristics such as trend or stochasticity. Most existing demand forecasting techniques in literature are designed to manage and forecast this type of demand functions. However, if the demand function is lumpy in nature, then the general demand forecasting techniques may fail given the unusual characteristics of the function. Proper identification of the underlying demand function and using the most appropriate forecasting technique becomes critical. In this paper, we will attempt to explore the key characteristics of the different types of demand function and relate them to known statistical distributions. By fitting statistical distributions to actual past demand data, we are then able to identify the correct demand functions, so that the the most appropriate forecasting technique can be applied to obtain improved forecasting results. We applied the methodology to a real case study to show the reduction in forecasting errors obtained

Fifteen-foot diameter modular space station Kennedy Space Center launch site support definition (space station program Phase B extension definition)

This document defines the facilities, equipment, and operational plans required to support the MSS Program at KSC. Included is an analysis of KSC operations, a definition of flow plans, facility utilization and modifications, test plans and concepts, activation, and tradeoff studies. Existing GSE and facilities that have a potential utilization are identified, and new items are defined where possible. The study concludes that the existing facilities are suitable for use in the space station program without major modification from the Saturn-Apollo configuration

First constraint on cosmological variation of the proton-to-electron mass ratio from two independent telescopes

A high signal-to-noise spectrum covering the largest number of hydrogen lines (90 H2 lines and 6 HD lines) in a high redshift object was analyzed from an observation along the sight-line to the bright quasar source J2123$-$005 with the UVES spectrograph on the ESO Very Large Telescope (Paranal, Chile). This delivers a constraint on a possible variation of the proton-to-electron mass ratio of Dmu/mu = (8.5 \pm 3.6_{stat} \pm 2.2_{syst}) x 10^{-6} at redshift z=2.059$, which agrees well with a recently published result on the same system observed at the Keck telescope yielding Dmu/mu = (5.6 \pm 5.5_{stat} \pm 2.9_{syst}) x 10^{-6}. Both analyses used the same robust absorption line fitting procedures with detailed consideration of systematic errors.Comment: Accepte

Expression of urease by Haemophilus influenzae during human respiratory tract infection and role in survival in an acid environment

<p>Abstract</p> <p>Background</p> <p>Nontypeable <it>Haemophilus influenzae </it>is a common cause of otitis media in children and lower respiratory tract infection in adults with chronic obstructive pulmonary disease (COPD). Prior studies have shown that <it>H. influenzae </it>expresses abundant urease during growth in the middle ear of the chinchilla and in pooled human sputum, suggesting that expression of urease is important for colonization and infection in the hostile environments of the middle ear and in the airways in adults. Virtually nothing else is known about the urease of <it>H. influenzae</it>, which was characterized in the present study.</p> <p>Results</p> <p>Analysis by reverse transcriptase PCR revealed that the <it>ure </it>gene cluster is expressed as a single transcript. Knockout mutants of a urease structural gene (<it>ureC</it>) and of the entire <it>ure </it>operon demonstrated no detectable urease activity indicating that this operon is the only one encoding an active urease. The <it>ure </it>operon is present in all strains tested, including clinical isolates from otitis media and COPD. Urease activity decreased as nitrogen availability increased. To test the hypothesis that urease is expressed during human infection, purified recombinant urease C was used in ELISA with pre acquisition and post infection serum from adults with COPD who experienced infections caused by <it>H. influenzae</it>. A total of 28% of patients developed new antibodies following infection indicating that <it>H. influenzae </it>expresses urease during airway infection. Bacterial viability assays performed at varying pH indicate that urease mediates survival of <it>H. influenzae </it>in an acid environment.</p> <p>Conclusions</p> <p>The <it>H. influenzae </it>genome contains a single urease operon that mediates urease expression and that is present in all clinical isolates tested. Nitrogen availability is a determinant of urease expression. <it>H. influenzae </it>expresses urease during human respiratory tract infection and urease is a target of the human antibody response. Expression of urease enhances viability in an acid environment. Taken together, these observations suggest that urease is important for survival and replication of <it>H. influenzae </it>in the human respiratory tract.</p

Spin-orbit coupling and electron spin resonance for interacting electrons in carbon nanotubes

We review the theoretical description of spin-orbit scattering and electron spin resonance in carbon nanotubes. Particular emphasis is laid on the effects of electron-electron interactions. The spin-orbit coupling is derived, and the resulting ESR spectrum is analyzed both using the effective low-energy field theory and numerical studies of finite-size Hubbard chains and two-leg Hubbard ladders. For single-wall tubes, the field theoretical description predicts a double peak spectrum linked to the existence of spin-charge separation. The numerical analysis basically confirms this picture, but also predicts additional features in finite-size samples.Comment: 19 pages, 4 figures, invited review article for special issue in J. Phys. Cond. Mat., published versio

Implementation and perceived impact of the SWAN model of end-of-life and bereavement care: a realist evaluation

Objectives To evaluate the End-of-Life and Bereavement Care model (SWAN) from conception to current use. Design A realist evaluation was conducted to understand what works for whom and in what circumstances. The programme theory, derived from a scoping review, comprised: person and family centred care, institutional approaches and infrastructure. Data were collected across three stages (May 2021 to December 2021): semi-structured, online interviews and analysis of routinely collected local and national data. Setting Stage 1: Greater Manchester area of England where the SWAN model was developed and implemented. Stage 2: Midlands. Stage 3: National data. Participants Twenty-three participants were interviewed: Trust SWAN leads, end-of-life care nurses, board members, bereavement services, faith leadership, quality improvement, medicine, nursing, patient transport, mortuary, police and coroners. Results Results from all three stages were integrated within themes, linked to the mechanisms, context and outcomes for the SWAN model. The mechanisms are: SWAN is a values-based model, promoting person/family-centred care and emphasising personhood after death. Key features are: memory-making, normalisation of death and ‘one chance’ to get things right. SWAN is an enablement and empowerment model for all involved. The branding is recognisable and raises the profile of end-of-life and bereavement care. The contextual factors for successful implementation and sustainability include leadership, organisational support, teamwork and integrated working, education and engagement and investment in resources and facilities. The outcomes are perceived to be: a consistent approach to end-of-life and bereavement care; a person/family-centred approach to care; empowered and creative staff; an organisational culture that prioritises end-of-life and bereavement care. Conclusion The SWAN model is agile and has transferred to different settings and circumstances. This realist evaluation revealed the mechanisms of the SWAN model, the contextual factors supporting implementation and perceived outcomes for patients, families, staff and the organisation

Large Area Crop Inventory Experiment (LACIE). User requirements

There are no author-identified significant results in this report