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Client

The standards for tests, which are cited in reference to the standards for characteristics. In order for a client and his supplier to compare their results during a commercial transaction, it is important that their laboratories rigorously follow the same operating procedures. The procedures are thus precisely defined in the standards. [Pg.294]

A specification or standard for product characteristics is valid only if it is matched with references to well defined and recognized test methods, such that quality control tests conducted by the parties involved —client and supplier, for example— are comparable even if they are performed at different locations. [Pg.445]

TRACS International has provided training and consultancy In Exploration and Production related issues for many clients world-wide since 1992. This book has gradually developed from course materials, discussions with clients and material available in the public domain. [Pg.1]

Many oil and gas companies do not consider the detailed design and construction of production facilities as part of their core business. This is often the stage at which work is contracted out to engineering firms and the client company will switch manpower resources elsewhere, although some degree of project management is commonly retained. [Pg.300]

The 3D representation of the test object can be rotated by means of an ARCBALL interface. Clicking on the main client area will produce a circle which is actually the silhouette of a sphere. Dragging the mouse rotates the sphere, and the model moves aceordingly. An arc on the surface of the sphere is drawn for visual feedback of orientation additionally a set of coordinate axes in the bottom left comer provides further feedback. [Pg.767]

A new approach of partnership between client and inspection service organisations has been established primarily for the North Sea but increasingly finding application elsewhere Benefits accrue to all parties and the technical and commercial lessons learnt in the process have relevance to a wide range of other industries. [Pg.1013]

Edcfy-cufrent NDT inspections using spatial data (sampled scans) ha >e many benefits. They separate the two conflicting aspects of an inspection scanning and signal interpretation. An instrument/display (client/server) based NDT inspection based on sampled scan data aides in the training and certification of inspectors. It can be used over the Internet or in-house Intranet networks to train or examine inspectors at multiple or remote sites. This saves travel time and resources as defects, instrumentation and teaching can all be consolidated Samples can be maintained and distributed from a central certification body providing more control andflexibility. [Pg.1014]

A major benefit of sampled data is the ability to store it. Once this data has been stored it can be analyzed, plotted and used in a simulator. A simulator reinstates the client/server paradigm, allowing the user to re-experience the inspection, synchronously. Different data filters and mappings can be used. For example, in Figure 4, a simple mapping... [Pg.1018]

The instrument/display (client/server) paradigm allows for synchronous and asynchronous analysis, locally or remotely via the Internet or in-house Intranet network. [Pg.1021]

In the mid and late 1990s CAS developed the ChemPort module as a linked gateway to primary literature. The CAS online delivery clients arc able to move into CbemPort to display primaiy literature by presenting stored or dynamically generated URLs to ChemPort. Conversely, ChemPort will link a user to SciFinder to provide access to the CAS databases. [Pg.242]

Cheminform RX, nowadays called the Cheminform Reaction Library, is distributed as an in-house version in a client-seiwer architecture by M DL Information Systems, Inc., San Leandro, CA, USA [22]. [Pg.264]

A hands-on experience with the method is possible via the SPINUS web service [48. This service uses a client-server model. The user can draw a molecular structure within the web browser workspace (the client), and send it to a server where the predictions are computed by neural networks. The results are then sent back to the user in a few seconds and visualised with the same web browser. Several operations and different types of technology arc involved in the system ... [Pg.528]

The predictions are sent back to the client web browser and visualized using a combination of HTML, JavaScript [50], MDL Chime [51] scripting, and Java applets. [Pg.529]


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See also in sourсe #XX -- [ Pg.71 ]

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A Client Diagnosed with Alzheimers Disease

A Client Experiencing Constipation or Diarrhea

A Client Experiencing Infertility

A Client Experiencing Pregnancy

A Client Experiencing Shock

A Client Receiving Chemotherapy

A Client Receiving Hormone Therapy

A Client Receiving an Investigational Protocol

A Client Self-Prescribing Medications

A Client Taking Herbs

A Client Undergoing Abdominal Surgery with General Anesthesia

A Client Undergoing Surgery for Cancer

A Client Undergoing an Orthopedic Surgery

A Client Using Birth Control

A Client Who Is Obese

A Client with Adrenal Disorders

A Client with Allergies

A Client with Anemia

A Client with Arterial Hypertension

A Client with Arterial Occlusive Disease

A Client with Benign Prostatic Hypertrophy and Spinal Anesthesia

A Client with Bipolar Disorder

A Client with Brain Tumor

A Client with Burns

A Client with Cerebrovascular Accident

A Client with Chronic Pain

A Client with Chronic Renal Failure

A Client with Congestive Heart Failure

A Client with Coronary Artery Disease

A Client with Deep Vein Thrombosis

A Client with Dysrhythmias and Conduction Problems

A Client with Gastroesophageal Reflux

A Client with Head Injury

A Client with Hepatitis

A Client with Inflammatory Bowel Disease

A Client with Inflammatory Cardiac Disorders

A Client with Liver Failure

A Client with Low Back Pain

A Client with Lower Respiratory Infection

A Client with Osteoarthritis

A Client with Osteoporosis

A Client with Pancreatitis

A Client with Parkinsons Disease

A Client with Peptic Ulcer Disease

A Client with Pituitary Disorders

A Client with Pressure Ulcers

A Client with Pulmonary Embolus

A Client with Reactive Airway Disease

A Client with Renal Calculi

A Client with Rheumatoid Arthritis

A Client with Schizophrenia

A Client with Seizures

A Client with Substance Abuse

A Client with Thyroid Disorders

A Client with Type 1 Diabetes

A Client with Upper Respiratory Infection

A Client with an Anxiety Disorder

A Client with an Autoimmune Disease

A Client with an Eye Disorder

Anxious clients

Assessing Client Potential for Behavior Change

Attorney—client privilege

Client Applications

Client and Web Interfaces to RDBMS

Client communication

Client computers

Client contact

Client domestic

Client feedback

Client layer

Client obligations

Client plot plan

Client program

Client program Excel

Client program RDBMS

Client program efficiency

Client program functions

Client relationship management

Client responsibilities

Client review

Client satisfaction

Client self-determination

Client server architecture

Client-server applications

Client-server communication

Client-server system

Client-server technology

Client-therapist match

Client/customer partnerships, process

Client/customer partnerships, process attributes

Client/server computing

Client/server model

Clients Who Have Anxiety

Clients Who Have Bipolar Disorders

Clients agreements with

Clients self-efficacy

Clients site controls

Clients to Therapists

Clients. Owners, and Customers about Avoiding Uncompensated Scope Creep

Clients/customers

Community Drug Teams clients

Community client contact

Computer language client program

Efficiency server-client

Elderly clients

Enrolling the Client Targeting, Eligibility, and Intake

Ethnic clients

Expectancies client, challenges

Function client

Helping Your Client Choose a Support Group

Helping Your Client Understand the Models of Recovery

How Well the Client Copes Determines What Happens Next

Internet client-server computing

Issues Between Analyst and Client Examining Whats at Stake

Mandated clients

Minority clients

Pattern 15.13 Interpreting Models for Clients

Rich clients

Server and Client

That Trap Clients

The Client

Thick clients

Thin client computing

Thin clients

Tolling vendor-client relationship

Using Tables Instead of Files in Client Programs

Visits to Clients Work

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