A Comparison of PIM Estimates with Direct Stock Information for Dwellings

2003 ◽  
Vol 49 (3) ◽  
pp. 309-332 ◽  
Author(s):  
Esben Dalgaard ◽  
Annette Thomsen
Keyword(s):  
Stock Information

scholarly journals An Application of the Box-Jenkins Approach to Forecasting the Cold Storage of French Fries

1980 ◽  
Vol 9 (2) ◽  
pp. 51-54 ◽  
Author(s):  
Richard P. Beilock ◽  
James W. Dunn
Keyword(s):  
Cold Storage ◽  
Important Determinant ◽  
French Fries ◽  
Price Expectations ◽  
French Fry ◽  
The Future ◽  
Stock Information ◽  
Market Strategies

Potatoes suitable for frozen french fries are harvested in the fall and then apportioned for the rest of the year by processors. This involves storage in either fresh or frozen form. Participants in both the fresh and french fry market consider the level of frozen french fry stocks to be an important determinant of activity in these markets and therefore use stock information to form price expectations [Phillips et al., 16–18]. The ability to forecast the future level of stocks with some accuracy would undoubtedly be an additional aid in developing market strategies. This paper provides one means of forecasting frozen french fry stocks.

scholarly journals GENETIC DIVERSITY OF MACKEREL SCADS, Decapterus macarellus (Cuvier, 1833) IN THE INDIAN OCEAN

2018 ◽  
Vol 23 (2) ◽  
pp. 89
Author(s):  
Achmad Zamroni ◽  
Suwarso Suwarso
Keyword(s):  
Genetic Diversity ◽  
Indian Ocean ◽  
Restriction Fragment Length Polymorphism ◽  
Genetic Analysis ◽  
Fragment Length Polymorphism ◽  
Fish Stock ◽  
The Indian Ocean ◽  
Over Exploitation ◽  
Stock Information ◽  
Restriction Fragment Length

Mackerel scads (Decapterus macarellus) is a small widely distributed pelagic species in ocean. In 2013, monthly catch and abundance index of mackerel scads increased in western part of Sumatera waters. High exploitation of mackerel scads may lead to decrease stock due to the over exploitation. Stock information is very useful for calculating of the potential fish. Genetic analysis is one of the powerful tools to estimate fish stock quickly. Genetic diversity of mackerel scads in this study was analyzed using RFLP (Restriction Fragment Length Polymorphism) with AfaI, EcoR I, HapII, HinfI and TaqI restriction enzyme. The results showed that the lowest genetic diversity of mackerel scads was Labuan population. Kinship Labuan was also the furtherest stock compared to other populations. It can be concluded that the population of Labuan is derived from a different sub-species. The closest kinship was between Aceh and Sibolga stock.

scholarly journals Implementasi E-Commerce Berbasis Web pada Toko Denia Donuts Menggunakan Metode Prototype

2020 ◽  
Vol 6 (2) ◽  
pp. 66-77
Author(s):  
Fenando Fenando
Keyword(s):  
Product Information ◽  
System Development ◽  
Black Box ◽  
The Internet ◽  
User Requirements ◽  
Business People ◽  
Testing Method ◽  
Requirements Specifications ◽  
Black Box Testing ◽  
Stock Information

The development of the internet and the implementation of technology that makes it easier for users to increasingly influence the business sector. Business people are starting to take advantage of the internet and technology to run their business or so-called E-Commerce. Denia Donuts Shop is an online shop that sells donuts in South Sumatera. The problems that occur, even though this store has marketed its products online, shop owners still use social media only in the process of transactions with consumers. This becomes very difficult when consumers want to make a purchase, consumers must send messages according to the format determined by the shop's owner, this method is made very difficult for consumers every time they make a purchase. On the other hand, the shop owner also finds it difficult to find product information, stock information, find out which consumers have bought during a certain period, and sales reports that are still recorded in a book. This article aims to build E-Commerce at Denia Donuts Shop that can help in marketing products widely and facilitate the process of transactions carried out by consumers. The system development method used is the prototype method. This research has resulted in an E-Commerce system that has been tested using the black box testing method and has been implemented in accordance with user requirements specifications.

Web Portals Designed for Educational Purposes

2011 ◽  
pp. 1161-1165
Author(s):  
Lucy Di Paola
Keyword(s):  
Web Portals ◽  
Enterprise Information ◽  
Specific Content ◽  
Internet Portal ◽  
Daily Life Activities ◽  
Use Of Technology ◽  
Stock Information ◽  
Specific Interests ◽  
E Mail ◽  
Best Fit

The increase in the use of technology in daily life activities has led to the growth and popularity of Internet portal sites. Portals are gateways that provide information ranging from general to specific interests. There are four generally recognized classifications of Web portals: (1) horizontal, (2) vertical, (3) enterprise information portals, and (4) B2B portals (Goodman & Kleinschmidt, 2002). Horizontal portals such as Excite, Lycos, MSN, or Yahoo! provide services such as news, entertainment, weather, stock information, e-mail accounts, or provide links to other searching or sponsored sites. Vertical or niche portals (or vortals) provide services to public audiences searching for specific content or interest. Enterprise information portals (also called enterprise resource portals or corporate portals) provide restricted access to private resources of an organization. B2B portals, sometimes referred to as industry portals, are a relatively new phenomenon designed to sell particular goods to consumers online; they are corporate in nature yet vertical in application. Educational Web portals would best fit into the vertical portal category and will be the focus of this article.

scholarly journals Portfolio Learning Based on Deep Learning

2020 ◽  
Vol 12 (11) ◽  
pp. 202
Author(s):  
Wei Pan ◽  
Jide Li ◽  
Xiaoqiang Li
Keyword(s):  
Deep Learning ◽  
Stock Market ◽  
Time Series Data ◽  
Stock Exchange ◽  
Composite Index ◽  
Series Data ◽  
High Dimensional ◽  
Chinese Stock Market ◽  
High Return ◽  
Stock Information

Traditional portfolio theory divides stocks into different categories using indicators such as industry, market value, and liquidity, and then selects representative stocks according to them. In this paper, we propose a novel portfolio learning approach based on deep learning and apply it to China’s stock market. Specifically, this method is based on the similarity of deep features extracted from candlestick charts. First, we obtained whole stock information from Tushare, a professional financial data interface. These raw time series data are then plotted into candlestick charts to make an image dataset for studying the stock market. Next, the method extracts high-dimensional features from candlestick charts through an autoencoder. After that, K-means is used to cluster these high-dimensional features. Finally, we choose one stock from each category according to the Sharpe ratio and a low-risk, high-return portfolio is obtained. Extensive experiments are conducted on stocks in the Chinese stock market for evaluation. The results demonstrate that the proposed portfolio outperforms the market’s leading funds and the Shanghai Stock Exchange Composite Index (SSE Index) in a number of metrics.

A Production Planning Based on Shipping Record for Food Company

2020 ◽  
Author(s):  
Hiroya Uematsu ◽  
Tatsuhiko Sakaguchi ◽  
Naoki Uchiyama ◽  
Daichi Hiramatsu ◽  
Kensuke Hiramatsu
Keyword(s):  
Production Planning ◽  
Production System ◽  
Numerical Experiments ◽  
Efficient Production ◽  
Traditional Food ◽  
Demand Prediction ◽  
Material Requirement Planning ◽  
Material Requirement ◽  
Make To Stock ◽  
Stock Information

Abstract The production system of the food factory is basically a make-to-stock production. Therefore, to achieve efficient production, the integration of demand, production, and stock information is essential. In this paper, we propose a production planning method based on the demand prediction in order to decrease the stock in the factory of Japanese traditional food ‘Tsukudani’. In the proposed method, the demand is first predicted according to the shipment records, then the material requirement planning and the capacity requirement planning are done based on the demand prediction. Finally, we carry out numerical experiments to validate the effectiveness of the proposed method.

A Transformation Technique for Scheduling Broadcast Programs of Multiple-Item Queries

2012 ◽  
Vol 4 (4) ◽  
pp. 52-67
Author(s):  
Jen-Ya Wang
Keyword(s):  
Optimization Problems ◽  
Access Time ◽  
Mobile Users ◽  
Traffic Condition ◽  
Multiple Data ◽  
Multiple Item ◽  
Wireless Environments ◽  
Np Hard Problem ◽  
Stock Information ◽  
Broadcast Programs

In wireless environments, many mobile users may raise queries for accessing multiple data items, e.g., stock information or traffic condition, simultaneously. Most queries are identical. That is, many users may have an interest in some popular data items. Because data broadcast can offer unlimited users shareable information at the same time, a broadcast server is usually employed to disseminate all the data items periodically. Intuitively, popular data items should be scheduled and transmitted to users more efficiently than ordinary ones, so these users can thus save access time. To improve customer satisfaction, the author considers a broadcast program scheduling problem in such an environment and aims to minimize mobile users’ worst access time as well as their battery power consumption by generating near-optimal broadcast programs. The author provides theoretical analysis as a foundation of mapping the problem to another domain (i.e., from unit item to unit fragment) and this transformation makes the problem easy to solve. Moreover, an O(N logN) algorithm is proposed for this NP-hard problem. Finally, experimental results show that access time can be reduced by carefully scheduling broadcast programs. It suggests that other similar optimization problems can be solved similarly.

Anadromous Sturgeons: Habitats, Threats, and Management

2007 ◽  
Keyword(s):  
North Carolina ◽  
Fishery Management ◽  
Management Plan ◽  
Atlantic Sturgeon ◽  
Alosa Sapidissima ◽  
Management Measures ◽  
Cape Hatteras ◽  
Stock Information ◽  
Mixed Stock ◽  
Acipenser Oxyrinchus

<em>Abstract.</em>—Declines in Atlantic sturgeon <em>Acipenser oxyrinchus</em> abundance in the early 1990s led the Atlantic States Marine Fisheries Commission (ASMFC) to prepare a mandatory fishery management plan. The principal management measures are fishery closure, bycatch assessment, and bycatch reduction in other ASMFC-managed fisheries (i.e., American shad <em>Alosa sapidissima</em>). To better understand Atlantic sturgeon geographic distribution and habitat use, as well as risk of bycatch, we examined offshore distribution of Atlantic sturgeon based on incidental captures in winter tagging cruises conducted off the coasts of Virginia and North Carolina, including in and near extensive sand shoals adjacent to Oregon Inlet and Cape Hatteras. From 1988 to 2006, 146 juvenile Atlantic sturgeon were captured by bottom trawling in depths from 9.1 to 21.3 m. Numbers of Atlantic sturgeon captured and tagged in a given year ranged from 0 (1993, 1995) to 29 (2006). Atlantic sturgeon were encountered in 4.2% of tows, with the percentage varying from 0 in 1993 and 1995 to 12.6% in 1988. Capture patterns suggested that Atlantic sturgeon were likely aggregating to some degree. Total lengths of captured Atlantic sturgeon ranged from 577 to 1,517 mm (mean of 967 mm), suggesting that most fish were juveniles. Limited tag returns and genetic data suggest that fish wintering off North Carolina constitute a mixed stock. Information about their distribution and habitat utilization should benefit fishery managers seeking to reduce bycatch and protect key habitats.

Emergency Contraception Access and Counseling in Metropolitan and Nonmetropolitan Pharmacies in Georgia

2021 ◽  
pp. 089719002110528
Author(s):  
Rebecca H. Stone ◽  
Savannah Gross ◽  
Brielle Reardon ◽  
Henry N. Young
Keyword(s):  
Emergency Contraception ◽  
Geographic Location ◽  
Community Pharmacies ◽  
Patient Counseling ◽  
Chi Square ◽  
Ulipristal Acetate ◽  
Timely Access ◽  
Mystery Shopper ◽  
Stock Information ◽  
Work Up

Background: Emergency contraception (EC) efficacy is dependent on timing of administration. Adequate pharmacy stock information and accurate patient counseling are important to ensure timely access. Objective: This study evaluates pharmacist reported availability and counseling for levonorgestrel (LNG) and ulipristal acetate (UPA), and identifies differences between caller type and pharmacies in metropolitan vs nonmetropolitan areas of Georgia. Methods: This prospective, randomized, telephone-based study included 25% of Georgia community pharmacies, stratified by geographic location. Calls were made by investigators, first posing as a mystery shopper inquiring about EC stock and efficacy, then 3–6 weeks later as a researcher inquiring about EC stock. Analysis utilized descriptive statistics, chi Square, and logistic regression. Results: Of 600 pharmacies, the mystery shopper caller reached 86%: 74% of pharmacists initially discussed LNG, 57.1% had it stocked, more often in metropolitan areas (OR 1.7, 95% CI 1.08–2.6). Ulipristal acetate was discussed by 1.9% and reported in-stock < 1%. Of those who discussed window of efficacy, 79% indicated LNG would either not work 4 days after intercourse or they were unsure. The research caller successfully completed a second call for 64% of pharmacies: 57% stocked LNG, 3% stocked UPA, and UPA was more likely to be stocked in metropolitan pharmacies. Conclusion: In Georgia, UPA availability is poor, and nonmetropolitan pharmacies were less likely to stock LNG and UPA. A minority of pharmacists correctly indicated that LNG may work up to 120 hours after intercourse. Strategies are needed to overcome barriers to EC availability in community pharmacies and support pharmacists’ EC counseling.

Components Design of Stock Information System Based on SOM

2009 ◽  
Author(s):  
Huazhu Song ◽  
Jianli Xiao ◽  
Dun Su ◽  
Wenting Sun ◽  
Luo Zhong
Keyword(s):  
Information System ◽  
Stock Information
Sign in / Sign up

Export Citation Format

Share Document