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Economic or locational depreciation Directly reflects the importance of the spatial element in real estate Can be cured at a minimal cost. Is the same as functional obsolescence. Is available through published cost services..
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Ell is part of a team of five optical engineers who are working.pdf
Ell is part of a team of five optical engineers who are working on a project at the Jet Propulsion
Laboratory (JPL) in Pasadena, CA. Eli's team has been together for the past 10 years, and up
until last month, he thought the team was pretty effective. But things seem to be changing now.
Recent discussions in the team have centered on how much better the team is than the other
optical engineering teams at JPL. In addition, if a team member voices doubt about an idea, other
team members tell him to fust shut up. This makes Eli uneasy. because he feels like his
teammate's valuable knowledge and insights are being ignored.
Because Eli wants his group to think more broadly, he asks them to have a debate about their
approach to a project and the approach proposed by another team of optical engineers. The team
is required to thoroughly investigate opposing ideas and to make a decision only after the ideas
have been completely analyzed. Ell is using to help his group overcome its problem.
Beca e broadly, he asks them to have a debate about their approach to a project and the approach
ineers. The team is required to thoroughly investigate opposing ldeas and to make a decision Iy
analyzed. Eil is Usirh to help his group overcome its probiem.
Example Nobody knows the financial ins and outs of Corporate Capital, Inc., like Fred.
Everyone in the company comes to him for advice, from the CEO to the lowest level analyst.
And they always do what he tells them because he is so smart. Reward and coercive power lead
to which of the following actions on the part of followers? Commitment Skill development
Compliance Effectiveness
is ethical power because it is used for the good of the group, not for an individual's gains.
According to Michael Korda, which of the following people are showing signs of power in their
organization? Check all that apply. A manager who has a rectangular conference room table,
rather than a round one A manager who has locked file cabinets A manager who is sought out by
managers for his or her opinion A manager with a very busy work schedule.
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El lado oscuro de los grandes datos
Las organizaciones de hoy en da estn minando furiosamente los grandes datos, buscando formas
de beneficiarse de esta tecnologa. Hay muchas historias de xito de big data. Por ejemplo, la
compaa biofarmacutica Berg est extrayendo grandes datos sobre muestras de tejido de pacientes,
historial clnico y caractersticas demogrficas para identificar posibles biomarcadores para el cncer
de pncreas para que pueda detectarse mucho antes y tratarse con mayor eficacia. La ciudad de
Barcelona ha reducido su factura anual de agua en un 25 por ciento mediante el anlisis de datos
de sensores instalados en parques locales para monitorear la humedad del suelo.
Pero hay un lado oscuro en los grandes datos, y tiene que ver con la privacidad. Ahora podemos
recopilar o analizar datos a una escala mucho mayor que nunca y utilizar lo que hemos aprendido
sobre las personas de formas que pueden ser perjudiciales para ellas. Los siguientes son algunos
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Vigilancia predictiva En febrero de 2014, el Departamento de Polica de Chicago envi agentes
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Earl owns and operates a food trailer at the State Fair. After being .pdf
Earl owns and operates a food trailer at the State Fair. After being featured on a national
televison network, his deep-fried cupcakes dramatically increase in popularity, and Earl hires
more workers at a cost of $80 per worker per day. Earl also pays $40 per day just to park his
trailer, even if he has no workers. The table shows the number of workers and the number of
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Ell is part of a team of five optical engineers who are working.pdf
Ell is part of a team of five optical engineers who are working on a project at the Jet Propulsion
Laboratory (JPL) in Pasadena, CA. Eli's team has been together for the past 10 years, and up
until last month, he thought the team was pretty effective. But things seem to be changing now.
Recent discussions in the team have centered on how much better the team is than the other
optical engineering teams at JPL. In addition, if a team member voices doubt about an idea, other
team members tell him to fust shut up. This makes Eli uneasy. because he feels like his
teammate's valuable knowledge and insights are being ignored.
Because Eli wants his group to think more broadly, he asks them to have a debate about their
approach to a project and the approach proposed by another team of optical engineers. The team
is required to thoroughly investigate opposing ideas and to make a decision only after the ideas
have been completely analyzed. Ell is using to help his group overcome its problem.
Beca e broadly, he asks them to have a debate about their approach to a project and the approach
ineers. The team is required to thoroughly investigate opposing ldeas and to make a decision Iy
analyzed. Eil is Usirh to help his group overcome its probiem.
Example Nobody knows the financial ins and outs of Corporate Capital, Inc., like Fred.
Everyone in the company comes to him for advice, from the CEO to the lowest level analyst.
And they always do what he tells them because he is so smart. Reward and coercive power lead
to which of the following actions on the part of followers? Commitment Skill development
Compliance Effectiveness
is ethical power because it is used for the good of the group, not for an individual's gains.
According to Michael Korda, which of the following people are showing signs of power in their
organization? Check all that apply. A manager who has a rectangular conference room table,
rather than a round one A manager who has locked file cabinets A manager who is sought out by
managers for his or her opinion A manager with a very busy work schedule.
El lado oscuro de los grandes datos Las organizaciones de h.pdf
El lado oscuro de los grandes datos
Las organizaciones de hoy en da estn minando furiosamente los grandes datos, buscando formas
de beneficiarse de esta tecnologa. Hay muchas historias de xito de big data. Por ejemplo, la
compaa biofarmacutica Berg est extrayendo grandes datos sobre muestras de tejido de pacientes,
historial clnico y caractersticas demogrficas para identificar posibles biomarcadores para el cncer
de pncreas para que pueda detectarse mucho antes y tratarse con mayor eficacia. La ciudad de
Barcelona ha reducido su factura anual de agua en un 25 por ciento mediante el anlisis de datos
de sensores instalados en parques locales para monitorear la humedad del suelo.
Pero hay un lado oscuro en los grandes datos, y tiene que ver con la privacidad. Ahora podemos
recopilar o analizar datos a una escala mucho mayor que nunca y utilizar lo que hemos aprendido
sobre las personas de formas que pueden ser perjudiciales para ellas. Los siguientes son algunos
ejemplos.
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uniformados para realizar visitas de notificacin personalizadas a las personas, especialmente a
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en el futuro. La intencin era prevenir el crimen proporcionando a las personas seleccionadas
informacin sobre programas de capacitacin laboral o informndoles sobre mayores sanciones para
personas con ciertos antecedentes. Muchos grupos comunitarios protestaron por la prctica como
otra forma de discriminacin racial.
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dispositivo para instalar en su automvil para analizar sus hbitos de manejo, aparentemente para
brindarle una mejor tarifa de seguro. Sin embargo, algunos de los criterios para tarifas de seguros
de automviles ms bajas se consideran discriminatorios. Por ejemplo, a las compaas de seguros les
gustan las personas que no manejan tarde en la noche y no pasan mucho tiempo en sus autos. Sin
embargo, es ms probable que las personas ms pobres trabajen un turno tarde y tengan viajes ms
largos al trabajo, lo que aumentara las tarifas de sus seguros de automviles.
Deloitte Consulting LLP desarroll un sistema de modelado predictivo para los solicitantes de
seguros que predice la esperanza de vida mediante el uso de datos sobre los hbitos de compra de
los consumidores individuales, as como sus antecedentes mdicos personales y familiares. La
compaa afirma que puede predecir con precisin si las personas tienen 1 de 17 enfermedades,
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depresin, analizando sus hbitos de compra. Lo que compra en la farmacia puede aumentar las
tarifas de su seguro mdico.
Contratacin computarizada Cada vez ms empresas recurren a sistemas computarizados para
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holutont 1 Fressure withen the thorak (intrathorack presicure), 2. The alows thoracic veim to
aliphtif When inspiratory muches felax ilitit: cahalation: 1 fritiatinctacie pretruin 2. Thus ciures
comprestion of thiodicis Vritis 2. This morentarity nsteases verout pretsure and venout return 4.
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During an El Nino (warm ENSO), ocean fisheries in South America are n.pdf
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of warm-water predatory species, which eat many of the desirable fish. wide-spread blooms of
toxic algae, due to the colder water below the surface. serious overfishing, as fishermen from
many countries converge on the same area..
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(Use a minus sign or parenthese to show other expenses.)
Data table
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Earl owns and operates a food trailer at the State Fair. After being .pdf
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televison network, his deep-fried cupcakes dramatically increase in popularity, and Earl hires
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Examination & 25 & 30 & 30 & 20 \\ E: Outpatient Surgery & 20 & 15 & \\ F: Physical Therapy
& 45 & 15 & \\ \hline \end{tabular}
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Dinero ps 50,000 Hanly, capital(30) ps 4,000 .pdf
Dinero
ps
50,000
Hanly, capital(30%)
ps
4,000
Ido, capital(20%)
(60,000)
Jen, capital(50%)
106,000
Los activos totales
ps
50,000
Equidad total
ps
50,000
El valor de los activos y pasivos personales de los socios al 1 de agosto de 2006 era el siguiente:
Hanly
idea
Jen
Bienes personales
ps
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ps
120,000
ps
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Pasivos personales
72,000
80.000
60.000
Preparar la declaracin final de liquidacin de la sociedad.
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Denote this map of the floor as shown below..
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dobinico meve ir 2007 ir s ralkd feube Dwith Asirer i Actinty teased IUnta af Predustion?
Deprebislisn ixpersa = vspretsliun ru.s pet ani x Urls of preducten fer thepeat Pratise A new
eramping mar-he was purctwed at * cnut et 5135 nod. The octimead resid al valua is
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Fear 2 laepreriation ewpersa Cvarmalated eepreciat on gask. Wud ue Fear 3 liepierietion
empens- Pexumubsed afprecist m- bash.wu us Partial Trear Doeraclation Asuate the stansing
rutah ne was purctased Dr Detaber 1, wing atraight-lie Mhardje in Evitivie Deteroine hevic ulue
kehoen rie tharpe in etrimste Jatar mone the rurrairine asefal f fe eesad on the change n wat mo:
Aamevirf lita n vare. PAMT C: AsEeT DISROSTION Hescod depacsiatisni isx lime uxsd in lies
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the lave of the mower for is uod: Bown the sade af the mawer tar sfimal Rosard the ale af the
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Dinero ps 50,000 Hanly, capital(30) ps 4,000 .pdf
Dinero
ps
50,000
Hanly, capital(30%)
ps
4,000
Ido, capital(20%)
(60,000)
Jen, capital(50%)
106,000
Los activos totales
ps
50,000
Equidad total
ps
50,000
El valor de los activos y pasivos personales de los socios al 1 de agosto de 2006 era el siguiente:
Hanly
idea
Jen
Bienes personales
ps
74.000
ps
120,000
ps
56,000
Pasivos personales
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80.000
60.000
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Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
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Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
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Chapter 4
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Chapter 5
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Chapter 6
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