Results 81 to 90 of about 1,001,862 (295)

Lessons Learned in the Southern Region after the First Year of Implementation of the New Commodity Programs [PDF]

open access: yes
The development of the commodity programs in the 2008 Farm Bill involved the origination of two complex revenue support initiatives. The two new programs, Average Crop Revenue Election (ACRE) and Supplemental Revenue Assurance (SURE), expanded the risk ...
Campiche, Jody L., Harris, Wesley L.
core   +1 more source

Revenue managers in hotels: Is revenue focus enough?

open access: yesInternational Journal of Tourism and Hotel Management, 2022
In hotels, there is often a manager figure whose task is focused on the future determination of sales prices and quantities of services sold. This article will focus only on the revenue manager related to room sales. In the following pages, we will point out how advanced quantitative tools that allow the determination of the values mentioned above are ...
openaire   +1 more source

Electro‐Stimulated Graphene‐Polymer Nanocomposites Enable Wearable Patches With Feedback‐Controlled Drug Release

open access: yesAdvanced Healthcare Materials, EarlyView.
xx xx. ABSTRACT Stimuli‐responsive nanomaterials capable of spatiotemporal control over drug release are of nanocomposite patch (“e‐Medi‐Patch”) engineered from biodegradable polycaprolactone (PCL), graphene nanoplatelets, and a redox‐active therapeutic, niclosamide. The hierarchical composite integrates π‐π interactions between aromatic drug molecules
Santosh K. Misra   +7 more
wiley   +1 more source

AN OVERVIEW OF THE HOTEL REVENUE MANAGEMENT MODELS

open access: yesInformatika, 2016
The paper gives a brief scope of Hotel Revenue Management theory and discusses its basic def-initions. It also suggests a new classification of Revenue Management processes and surveys dynamic pricing, forecasting and optimization models employed in ...
A. M. Bandalouski
doaj  

Machine Learning in Tourism Revenue Management [PDF]

open access: yesAnnals of Dunarea de Jos University. Fascicle I : Economics and Applied Informatics, 2019
Machine learning algorithms increase the efficiency of revenue management systems. Real-time data processing, customization, and automation are the key features that make it possible to overcome the performance of old systems in determining the price and
Maria-Cristina ENACHE
doaj  

REVENUE MANAGEMENT MODEL BASED ON CAPACITY SHARING AND OVERBOOKING IN THE AIRLINE

open access: yesJournal of Engineering and Management in Industrial System, 2018
Aviation industry often faced uncertainty demand and high level of cancellation. Revenue management in the airline is related to demand management policies to classify and estimate the various requests of pricing and capacity control.
Oki Anita Candra Dewi
doaj   +1 more source

Rapid Fabrication of Self‐Propelled and Steerable Magnetic Microcatheters for Precision Medicine

open access: yesAdvanced Materials, EarlyView.
A rapid Joule heating fabrication method for the production of self‐propelling, adaptive microcatheters, with tunable stiffness and integrated microfluidic channels is presented. Demonstrated through three microrobotic designs, including a steerable guiding catheter, an untethered wave‐crawling TubeBot, and a distal‐end propelled microcatheter, it was ...
Zhi Chen   +5 more
wiley   +1 more source

An Automated Machine Learning Based Decision Support System to Predict Hotel Booking Cancellations

open access: yesData Science Journal, 2019
Booking cancellations negatively contribute to the production of accurate forecasts, which comprise a critical tool in the hospitality industry. Research has shown that with today’s computational power and advanced machine learning algorithms it is ...
Nuno Antonio, Ana de Almeida, Luis Nunes
doaj   +1 more source

REVENUES MANAGEMENT IN THE MARKETING OF SERVICES [PDF]

open access: yes
In the evolution of pricing strategy, yield management gained a significant importance in the latest years. Revenue Management/Yield Management helps businesses selling services at the right time, to the right customer, at the right price.
Lecturer Cătălin Mihail Barbu Ph. D   +1 more
core  

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

open access: yesAdvanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll   +19 more
wiley   +1 more source

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