C. Proposals may also be rejected if they are made by a bidder that is deemed un- responsible due to a lack of qualifications, capacity, skill, character, experience, reliability, financial stability or quality of services, supplies, materials, equipment or labor.
Westerville City Schools are requesting proposals for computer hardware and software for the establishment of a purchasing program with a computer hardware/software vendor. This program will be used by the district to purchase computer hardware, software, and peripherals for the fulfillment of replacement equipment six years old and other needs (grades K-12). The program will establish a set pricing structure by the vendor that will provide hardware, software, and/or computer peripherals to the district. The program will provide a dynamic system that allows for price reductions and/or component upgrades in the technology market and a consistent form of purchasing. The school district plans to purchase 600 to 750 computers over the 2015/2016 school year. Vendors are asked to quote one workstation configuration. Approximately 650 workstations will be purchased meeting the specifications set in Form A. These purchases will be made for delivery in June-July 2015.
MWA reserves the right to accept the best proposal for MWA and its member communities and is not required to accept the lowest priced proposal. MWA also reserves the right to reject any or all proposals and will be the sole judge of what comprises the best and most advantageous product to meet the needs of MWA. 2. Technical Specifications for Kraft Yard Waste Bags
2. Requests for Proposal will be received no later than 12:00 p.m. on April 4, 2013 at the Administration Building of the Central Dauphin School District, 600 Rutherford Road, Harrisburg, Pennsylvania, 17109. Requests for proposals will be publicly opened at 1:00pm on April 4, 2013 at the Administration Building of the Central Dauphin School District, 600 Rutherford Road, Harrisburg, Pennsylvania, 17109.
The existing system is an Ontology-Based Text-Mining Method (OTMMs) to cluster research proposals based on their similarities in research areas. Ontology is a knowledge repository in which concepts and terms are defined as well as relationships between these concepts. It consists of a axioms, relationships and set of concepts that describe a domain of interests and represents an agreed-upon hypothesis of the domains of real-world setting. Using Ontology Implicit knowledge for humans is made explicit for computers . Thus, ontology can automate information processing and can facilitate text mining in a specific domain (such as research project selection). An ontology based text mining skeleton has been built for clustering the research proposals according to their discipline areas. Text mining notice generally to the process of extracting interesting information and knowledge from unstructured text. Inequality between regular data mining and text mining is that text mining patterns are extracted from natural language text rather than from structured databases of facts.
The diagnostics department sometimes combines different MRIs appointments. The 7865 MRI appointments correspond to 8030 MRI scans. Based on these 8030 MRIs we could calculate the number of requested MRIs per specialty, per consult type per week. If we focus for example on Orthopedics we see that in week 4 26 consultations required an MRI (Figure 11). We have to keep in mind that due to the aforementioned data loss of 25% this probably should be somewhat higher than 26 consultations. Figure 11 shows clearly that there is a high variance in the number of requested MRIs for Orthopedics, especially for the requests that came from first visit consultation. The variance in follow up consultations is smaller. This trend is also visible in the other specialties.
“…the Appellant’s refusal to let the matter drop and the dogged persistence with which he pursued his requests, despite disclosure by the council and explanations as to its practices, indicated that the latter part of the request was part of an obsession. The Tribunal accepted that in early 2005 the Appellant could not be criticised for seeking the information that he did. Two years on, however, and the public interest in openness had been outweighed by the drain on resources and diversion from necessary public functions that were a result of his repeated requests…” (paragraph 38).
First, the research ontology is categorized according to scientific research areas introduced in the background. It is then developed on the basis of several specific research areas. Next, it is further divided into some narrower discipline areas. Finally, it leads to research topics in terms of the feature set of disciplines created in step 1. The research ontology is constructed, and its rough structure is shown in the above figure. It is more complex than just a tree-like structure. First, there are some cross-discipline research areas (e.g., “data mining” can be placed under “Information Management” in “ManagementSciences” or under “Artificial Intelligence” in “Information Sciences”). Second, there are some synonyms used by different project applicants, which have different names in different proposals but represent the same concepts.Therefore, the research ontology allows more complex relationship between concepts besides the basic tree-like structure. Also, to deal with proposals with both English and Chinese text, it is designed as a multilingual ontology, which can process and share knowledge represented in multiple languages.
h. Training/Offsets. List the training needed to earn the proposed NEC code, the implications it may have on TAD training, and the impact it may have on increasing overall cost to the Navy in the out-years. Offsets must be identified with submission of your proposal. Offsets are required to cover the expected follow-on training costs. Acceptable offsets for student IA may be reduced time-to-train or reduced annual throughput in related NEC codes; elimination of related NEC codes; transfer of end strength from the force structure to the student account; or successful POM actions. NEC code requests which will cause in increase in the number of instructors or increase in TDI expenses also require offsets in MPN and/or OMN funding. Requests which do not have identified offsets will not receive concurrence when routed for approval. POC for questions regarding offsets is OPNAV N122D.
Dr Lowry could explain to Dr Rowe that she needs to deal with the issue on her own. He could coach her on what to say but ultimately leave the discussion with the family up to her. By using this approach, Dr Rowe will gain valuable experience in tackling a deeply troubling situation that will no doubt recur at some point in her career when she herself is the attending physician. The parents may also gain a level of respect for Dr Rowe that would be prized in the physician-patient-family dynamic and would assist in building a therapeutic alliance. Or, this method could fail miserably and create more distrust between the family and Dr Rowe. Alternatively, Dr Lowry could march into the room and ﬁ rmly assert that Dr Rowe is a capable resident physician who will see the patient. This approach is what feels right: the unambiguous, egalitarian option in which the attending physician rights the wrong and the various parties move in step with his view without dissent. Should Dr Lowry go this route, he will be backed by the case law; health care practitioners have sued their employers who granted the race-based requests of patients in the past and have won their cases, as recently as 2010. 7 Thus, Dr Lowry’s
2) Impact of cache size: As b S increases, the number of satisfactions approaches 1 and the backhaul load becomes 0. This reﬂects the unrealistic case where all requested ﬁles can be cached. Assuming this is not the case in reality and checking for intermediate values of cache sizes, it can be seen that proactive caching outperforms the reactive case. 3) Impact of popularity distribution: As some ﬁles become more popular than others (b increases), the gain between proactive and reactive caching is higher in all load regimes. In addition, the gains further increase with higher incoming loads both in terms of satisﬁed requests and backhaul load.
Base tax rates have been kept intact, yet the effective tax rates have been increased by imposing an additional surcharge for one year on individuals declaring taxable income over Rs 1 Crore and Companies with taxable income over Rs 10 Crores. While the Finance Minister articulated that tax proposals need to be non-adversarial and provide a stable tax regime, burning issues like taxation of indirect transfers, measures to reduce
The main objective of the study is to identify some proposals for waste management improvements within SMEs, starting with the prevention of waste generation, and other measures and tools to help SMEs to comply with the legislation and to improve their environmental attitude. The empirical part of presented work included a desktop research, which was in May 2008, continued with analyzing the questionnaires sent randomly using the data from the Craft Register , to 300 entre- preneurs who are members of the Chamber of Craft and Small Business of Slovenia from the section of maintenance of textiles and car services. The survey also included an on-site visit along with interviews conduct- ed with some SMEs. The results consist of data collected through the analysis of returned questionnaires and of data collected from on-site interviews. The response rate was about 40 % and lower than had been anticipated, particularly from the car service section. There were 21 questions in the questionnaire; most of them were fixed-choice with two, three or more possible answers to select. In the introduction, it was asked about their core business and number of employees. It was continued with questions about quantities of waste and hazardous wastes produced per year, collecting and separating wastes at source, storing and recycling. It was foreseen that SMEs do not have full aware- ness of the legal requirements associated with their operation, so ask- ing them about being aware of the demands of legislation. The ques- tions following referred to specific waste treatment procedures which
By analyzing the key barriers that cause patient's non- adherence, the health system, and recommendations and strategies that are available worldwide (27-30), some recommendations / measures will be presented below, whose implementation does not require significant financial investments, nor significant changing of the existing health system. The implementation of measures and proposals should result with increasing the level of adherence, and with improving the quality of medical service, hence, finally with improving the effectiveness of therapy:
considering the requests in the same order they arrived to the maintainer. The size of the training sets consid- ered was the same as for the randomly generated sets. This experiment aimed to simulate how the arriving re- quests were, firstly, classified according to the previous arrived ones, and then, on their own, put in the knowl- edge database (Figure 1) to better classify successive arrivals. Results are shown in Figure 3. Similar re- sults were obtained increasing the training set every six months.
The NOAA FOIA Office does not closeout requests. They review for completeness and the Action Office will close the request. The NAO was written BEFORE FOIAonline was active as such there are inconsistencies between the NAO and the actual process. The NOAA FOIA Office is aware of this and they are working on updating the NAO.