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Home » Academics » Summer Programs » High School Students » Summer Programs and Camps » Forensic Science Academy. In Cold Blood: Forensic Science Academy. A forensic science field trip will be part of the Academy.Forensic science as a discipline is a natural vehicle for students to practice science as inquiry. For every piece of physical evidence brought in for analysis. Forensic Science for High School is a high-interest. Forensic Science Academy Application. Summer Programs. Please complete this online registration form to apply for the Lipscomb In Cold Blood: Forensic Science Academy. Applicants will be selected and notified on March 2. At that time, you will be asked to submit a $7. Forensic Science Academy, with the remainder due 3. If you are applying for financial aid, your application must be accompanied by an email addressed to Dr. Linda Phipps, linda. Federal Tax Return showing adjusted gross income. Great Summer Science Programs for High School Students. If You Love Science, These Summer Programs Are Worth a Look. 6 Summer Programs for High School Students Who Love Politics. What Are the Best Schools for Forensic Science? The Eberly College of Science offers forensic science programs ranging from a high school summer forensic camp and workshops for middle and high school teachers to. Home » Academics » Summer Programs » Forensic Science Academy Application. Forensic Science Academy Application. Best defined as “science in service to the courts,” Forensic Science is the study of physical. What high school preparation. Some graduates proceed to graduate programs in Forensic Science in the United States. Top Schools for Forensic Science. Read about forensic science programs. Top schools for forensic science include the University of Mississippi. Must be a high school graduate or have completed GED. Penn Summer High School Programs. Summer Institute in Archaeological Science; Summer Mentorship Program (SMP) Teen Research and Education in Environmental Studies (TREES) Wharton Moneyball Academy; Wharton Sports Business. ![]() Normative Ethics; Philosophy of Gender, Race, and Sexuality. You Reap What You Sow: How MBA Programs Undermine Ethics. Maintained and operated by. Econ. Papers: Journal of Business Ethics. Current editor(s): A.
Journal of Business Ethics. You Reap What You Sow: How MBA Programs Undermine Ethics pp. The Ethics of Meaningful Work. C. Michalos. From Springer. Series data maintained by Sonal Shukla (). Access Statistics for this journal. See the Re. PEc data check for the archive and series., 2. Corporate Social Responsibilities: Alternative Perspectives About the Need to Legislate pp. Craig Deegan and Marita Shelly. You Reap What You Sow: How MBA Programs Undermine Ethics pp. Min Zhang, Lijun Ma, Jun Su and Wen Zhang. Which Dimensions of Social Responsibility Concern Financial Investors? ![]() Isabelle Girerd- Potin, Sonia Jimenez- Garc. Robert Caruana and Andreas Chatzidakis. The Morality of Unequal Autonomy: Reviving Kant’s Concept of Status for Stakeholders pp. Susan Castro. Convergence of Corporate Social Responsibility and Corporate Governance in Weak Economies: The case of Bangladesh pp. Mia Rahim and Shawkat Alam. A Conceptual Framework for Understanding the Effects of Corporate Social Marketing on Consumer Behavior pp. Yuhei Inoue and Aubrey Kent. Fund Loyalty Among Socially Responsible Investors: The Importance of the Economic and Ethical Domains pp. Jared Peifer. The Ethics of Meaningful Work: Types and Magnitude of Job- Related Harm and the Ethical Decision- Making Process pp. Douglas May, Cuifang Li, Jennifer Mencl and Ching- Chu Huang. Erratum to: The Ethics of Meaningful Work: Types and Magnitude of Job- Related Harm and the Ethical Decision- Making Process pp. Douglas May, Jennifer Mencl, Cuifang Li and Ching- Chu Huang, 2. Teaching Business Ethics Through Popular Feature Films: An Experiential Approach pp. Edward O’Boyle and Luca Sandon. Kathryn Pavlovich and Patricia Corner. Faith and Fair Trade: The Moderating Role of Contextual Religious Salience pp. Rommel Salvador, Altaf Merchant and Elizabeth Alexander. The Perceptions of Ethical and Sustainable Leadership pp. Jack Mc. Cann and Matthew Sweet. Is Your Banker Leaking Your Personal Information? The Roles of Ethics and Individual- Level Cultural Characteristics in Predicting Organizational Computer Abuse pp. Paul Lowry, Clay Posey, Tom Roberts and Rebecca Bennett. Organizational Value for Age Diversity and Potential Applicants’ Organizational Attraction: Individual Attitudes Matter pp. Tanja Rabl and Mar? Chris Kuo. The Impact of Human Resource Management on Environmental Performance: An Employee- Level Study pp. Peter Jaworski. Situating . Mark Edwards and Nin Kirkham. Steven M. Morris, Ethical Obligations and Decision Making in Accounting: Text and Cases pp. Albrecht, 2. 01. 4Corporate Perspectives on the Development and Use of Sustainability Reports pp. Cory Searcy and Ruvena Buslovich. Leaders’ Personal Wisdom and Leader–Member Exchange Quality: The Role of Individualized Consideration pp. Hannes Zacher, Liane Pearce, David Rooney and Bernard Mc. Kenna. Bulgakov's Economic Man—Re- thinking the Construction of Capitalist Economic Ethics Theory pp. Hsiang Lin. Antecedents of Green Brand Equity: An Integrated Approach pp. Pui Ng, Muhammad Butt, Kok Khong and Fon Ong. Procedural and Distributive Fairness: Determinants of Overall Price Fairness pp. Jodie Ferguson, Pam Ellen and William Bearden. A Descriptive Analysis of Environmental Disclosure: A Longitudinal Study of French Companies pp. Elisabeth Albertini. An Analysis of the Effect of Culture and Religion on Perceived Corruption in a Global Context pp. Yaw Mensah. The Principle of Good Faith: Toward Substantive Stakeholder Engagement pp. Cedric Dawkins. Corporate Legitimacy and Investment–Cash Flow Sensitivity pp. Najah Attig, Sean Cleary, Sadok Ghoul and Omrane Guedhami. Roche’s Clinical Trials with Organs from Prisoners: Does Profit Trump Morals? Judith Schrempf- Stirling, 2. 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Exploring and Exposing Values in Management Education: Problematizing Final Vocabularies in Order to Enhance Moral Imagination pp. Long- Zeng Wu, Haina Zhang, Randy Chiu, Ho Kwan and Xiaogang He. Easy- Come- Easy- Go: Moral Hazard in the Context of Return to Education pp. Rosemary Walker and Liviu Florea. The Impact of Fraudulent False Information on Equity Values pp. Saif Ullah, Nadia Massoud and Barry Scholnick. Ethical Perspectives in Work Disability Prevention and Return to Work: Toward a Common Vocabulary for Analyzing Stakeholders’ Actions and Interactions pp. Bahram Soltani. Methodological Issues in the Design of Online Surveys for Measuring Unethical Work Behavior: Recommendations on the Basis of a Split- Ballot Experiment pp. Kristel Wouters, Jeroen Maesschalck, Carel Peeters and Marijke Roosen, 2. Sustainability Reporting and Assurance: A Historical Analysis on a World- Wide Phenomenon pp. Renzo Junior, Peter Best and Julie Cotter. Sweet Little Lies: Social Context and the Use of Deception in Negotiation pp. Mara Olekalns, Carol Kulik and Lin Chew. The Influence of Decision Frames and Vision Priming on Decision Outcomes in Work Groups: Motivating Stakeholder Considerations pp. Kevin Clark, Narda Quigley and Stephen Stumpf? Corporate Social Responsibility (CSR), Company Towns and the Mining Industry in Namibia pp. David Littlewood. Hang on to Your Ego: The Moderating Role of Leader Narcissism on Relationships Between Leader Charisma and Follower Psychological Empowerment and Moral Identity pp. John Sosik, Jae Chun and Weichun Zhu. Transformational Leadership and Follower’s Unethical Behavior for the Benefit of the Company: A Two- Study Investigation pp. David Effelsberg, Marc Solga and Jochen Gurt. Ethical Culture, Ethical Intent, and Organizational Citizenship Behavior: The Moderating and Mediating Role of Person–Organization Fit pp. Pablo Ruiz- Palomino and Ricardo Mart. Bob Fennis and Wolfgang Stroebe. The Influence of an Observer’s Value Orientation and Personality Type on Attitudes Toward Whistleblowing pp. Heungsik Park, John Blenkinsopp and Myeongsil Park. Competitiveness and Legitimation: The Logic of Companies going Green in Geographical Clusters pp. Moral muteness of faculty in management education. Many have long criticized management education for poorly training managers to recognize and address ethical and moral issues in the workplace and society. These criticisms point to bad management theories, institutional pressure on business schools and corporations, misdirected pedagogy and an overwhelming reliance on economic rationality in the curriculum. Researchers may not have considered the specific behaviors in the classroom, however, as a cause for poor ethical behavior. For various reasons, faculty members do not express moral considerations on many issues in the classroom. 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It is the only standard test methodology that allows for complete validation of Ethernet service- level agreements (SLAs) in a single test. Purposes. The test methodology applies to point- to- point and point- to- multipoint connectivity in the Ethernet layer and to the network portions that provide, or contribute to, the provisioning of such services. This recommendation does not define Ethernet network architectures or services, but rather defines a methodology to test Ethernet- based services at the service activation stage. This request for comments (RFC) was created in 1. The RFC 2. 54. 4 describes six subtests. This measurement translates into the available bandwidth of the Ethernet virtual connection. Back- to- back or burstability: Measures the longest burst of frames at maximum throughput or minimum legal separation between frames that the device or network under test will handle without any loss of frames. This measurement is a good indication of the buffering capacity of a DUT. Frame loss: Defines the percentage of frames that should have been forwarded by a network device under steady state (constant) loads that were not forwarded due to lack of resources. This measurement can be used for reporting the performance of a network device in an overloaded state, as it can be a useful indication of how a device would perform under pathological network conditions such as broadcast storms. Latency: Measures the round- trip time taken by a test frame to travel through a network device or across the network and back to the test port. Latency is the time interval that begins when the last bit of the input frame reaches the input port and ends when the first bit of the output frame is seen on the output port. It is the time taken by a bit to go through the network and back. Latency variability can be a problem. With protocols like voice over Internet protocol (Vo. IP), a variable or long latency can cause degradation in voice quality. System reset: Measures the speed at which a DUT recovers from a hardware or software reset. This subtest is performed by measuring the interruption of a continuous stream of frames during the reset process. System recovery: Measures the speed at which a DUT recovers from an overload or oversubscription condition. This subtest is performed by temporarily oversubscribing the device under test and then reducing the throughput at normal or low load while measuring frame delay in these two conditions. The different between delay at overloaded condition and the delay and low load conditions represent the recovery time. Networks must support multiple services from multiple customers, and each service has its own performance requirements that must be met even under full load conditions and with all services being processed simultaneously. RFC 2. 54. 4 was designed as a performance tool with a focus on a single stream to measure maximum performance of a DUT or network under test and was never intended for multiservice testing. RFC 2. 54. 4 test cycles can easily require a few hours of testing. This is not an issue for lab testing or benchmarking, but becomes a serious issue for network operators with short service maintenance windows. Network operators that performed service testing with RFC 2. RFC 2. 54. 4 as this KPI was not defined or measured by the RFC. In today's multiservice environments, traffic is going to experience all KPIs at the same time, although throughput might be good, it can also be accompanied by very high latency due to buffering. Designed as a performance assessment tool, RFC 2. KPI individually through its subtest and therefore cannot immediately associate a very high latency with a good throughput, which should be cause for concern. These services are defined at the UNI level with different frame and bandwidth profile such as the service's maximum transmission unit (MTU) or frame size, committed information rate (CIR), and excess information rate (EIR). A single Test Flow is also able to consist of up to 5 different frame sizes called an EMIX (Ethernet Mix). This flexibility allows the engineer to configure a Test Flow very close to real world traffic. These objectives are typically defined and enforced via SLAs. EIR defines the maximum transmission rate above the committed information rate considered as excess traffic. This excess traffic is forwarded as capacity allows and is not subject to meeting any guaranteed performance objectives (best effort forwarding). Overshoot rate defines a testing transmission rate above CIR or EIR and is used to ensure that the DUT or network under test does not forward more traffic than specified by the CIR or EIR of the service. Service configuration test. If a service is not correctly configured on any one of these devices within the end- to- end path, network performance can be greatly affected, leading to potential service outages and network- wide issues such as congestion and link failures. With only one traffic class, there is no prioritization performed by the network devices since there is only one set of KPIs. As the number of traffic flows increase, prioritization is necessary and performance failures may occur. Services are generated at the CIR, where performance is guaranteed, and pass/fail assessment is performed on the KPI values for each service according to its SLA. The service performance test is designed to soak the network under full committed load for all services and measure performance over medium and long test time. The time frame to complete this section of the test is recommended to follow ITU- T M. Typically this is a round- trip measurement, meaning that the calculation measures both the near- end to far- end and far- end to near- end direction simultaneously. Frame delay variations (FDV): Also known as packet jitter, this is a measurement of the variations in the time delay between packet deliveries. As packets travel through a network to their destination, they are often queued and sent in bursts to the next hop. There may be prioritization at random moments also resulting in packets being sent at random rates. Packets are therefore received at irregular intervals. The direct consequence of this jitter is stress on the receiving buffers of the end nodes where buffers can be overused or underused when there are large swings of jitter. Frame loss ratio (FLR): Typically expressed as a ratio, this is a measurement of the number of packets lost over the total number of packets sent. Frame loss can be due to a number of issues such as network congestion or errors during transmissions. Frame loss ratio with reference to the SAC: Typically expressed as a Pass / Fail indication. SAC (Service Acceptance Criteria) is the part of the network operators SLA which references the FLR requirement for the network path under test. Availability (AVAIL): Typically expressed as a % of up time for link under test for example does the network pass the 5. Layer 2 and relevant procedures are also looked at. Module 2 explores LTE radio planning techniques, including the planning process, propagation modelling, link budgets, antenna techniques, radio KPIs, coverage and capacity planning, and hands- on planning simulation using the software tool. Module 3. This module also incorporates hands- on optimisation using the software tool. Outcomes and Competency Development. Participants will develop or be able to: Confidently and effectively plan an efficient 4. G / LTE Radio network. 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