Preclinical studies using animals to study the potential of a therapeutic drug or strategy are important steps before translation to clinical trials. However, evidence has shown that poor quality in the design and conduct of these studies has not only impeded clinical translation but also led to significant waste of valuable research resources. It is clear that experimental biases are related to the poor quality seen with preclinical studies. In this chapter, we will focus on hypothesis testing type of preclinical studies and explain general concepts and principles in relation to the design of in vivo experiments, provide definitions of experimental biases and how to avoid them, and discuss major sources contributing to experimental biases and how to mitigate these sources. We will also explore the differences between confirmatory and exploratory studies, and discuss available guidelines on preclinical studies and how to use them. This chapter, together with relevant information in other chapters in the handbook, provides a powerful tool to enhance scientific rigour for preclinical studies without restricting creativity.

Unit 1 Consists of 7 Modules, providing an overview of the historical foundations of the Science of Psychology. Each Unit will provide essential readings, interactive text activities, and follow up questions, preparing you for graded Quiz activities for Week 1.The World of Psychology6The Important Questions of Psychology9The Earliest Psychologists10Early Schools of Psychology: Late 19th Century11Early Schools of Psychology: Early 20th Century12Contemporary Psychology: Interconnected Perspectives13The Many Disciplines of Psychology

Geo-information has proven to be extremely helpful in many aspects of risk and disaster management: locational and situational awareness, monitoring of hazards, damage detection, sharing of information, defining vulnerability areas, etc. This course aims to provide knowledge on risk and disaster management activities, demonstrate use of geo-information technologies in emergency response, outline current challenges and motivate young geo-specialist to seek for advanced solutions. The course is organised as lectures and practicals. The practicals will be in the form of group assignments. Some excursions and guest lectures will be organised as well.

Over the past few years, “smart cities” have led in leveraging technology to modernize their services and infrastructure— and have emerged on the global stage on key issues of international concern. In 2017, Hidalgo and Horacio Rodríguez Larreta, Mayor of Buenos Aires, spearheaded the Urban 20 (U20), a platform for major cities in G20 countries to bring their “urban perspective” to the G20 member states in tackling common problems, showcasing their innovative approaches leveraging emerging technologies at the local level to tackle global issues. In April 2018, mayors from 20 cities signed the U20’s first Joint Declaration; six months later, representatives from more than 30 cities convened for the U20’s inaugural summit in Buenos Aires. This summer, Los Angeles Mayor Eric Garcetti had a private audience the Pope Francis at the Vatican, where the two discussed climate change, poverty, youth, and immigration. There are over 200 local-global organizations impacting international relations and policy, largely because of the pace at which they are embracing technology and innovation.

Students explore the effects of regional geology on bridge foundation, including the variety of soil conditions found beneath foundations. They learn about shallow and deep foundations, as well as the concepts of bearing pressure and settlement.

Students engage in the second design challenge of the unit, which is an extension of the maze challenge they solved in the first lesson/activity of this unit. Students extend the ideas learned in the maze challenge with a focus more on the robot design. Gears are a very important part of any machine, particularly when it has a power source such as engine or motor. Specifically, students learn how to design the gear train from the LEGO MINDSTORMS(TM) NXT servomotor to the wheel to make the LEGO taskbot go faster or slower. A PowerPoint® presentation, pre/post quizzes and a worksheet are provided.

The given material explains about the condition of postponed dreams. This is an assignment submitted in Swayam OER for Empowering Teachers.

Through six lesson/activity sets, students learn about the functioning of sensors, both human and robotic. In the activities, student groups use LEGO MINDSTORMS(TM) NXT robots and components to study human senses (sight, hearing, smell, taste, touch) in more detail than in previous units in the series. They also learn about the human made rotation, touch, sound, light and ultrasonic sensors. "Stimulus-sensor-coordinator-effector-response" pathways are used to describe the processes as well as similarities between human/animal and robotic equivalent sensory systems. The important concept of sensors converting/transducing signals is emphasized. Through assorted engineering design challenges, students program the LEGO robots to respond to input from various LEGO sensors. The overall framework reinforces the theme of the human body as a system with sensors that is, from an engineering perspective. PowerPoint® presentations, quizzes and worksheets are provided throughout the unit.

Students learn how to program using loops and switches. They see how loops enable us to easily and efficiently tell a computer to keep repeating an operation. They also see that switches permit programs to follow different instructions based on whether or not preconditions are fulfilled. Using the LEGO MINDSTORMS(TM) NXT robots, sensors and software, student pairs perform three mini programming activities using loops and switches individually, and then combined. With practice, they incorporate these tools into their programming skill sets in preparation for the associated activity. A PowerPoint® presentation, pre/post quizzes and worksheet are provided.

Building on the programming basics learned so far in the unit, students next learn how to program using sensors rather than by specifying exact durations. They start with an examination of algorithms and move to an understanding of conditional commands (until, then), which require the use of wait blocks. Working with the LEGO MINDSTORMS(TM) NXT robots and software, they learn about wait blocks and how to use them in conjunction with move blocks set with unlimited duration. To help with comprehension and prepare them for the associated activity programming challenges, volunteer students act out a maze demo and student groups conclude by programming LEGO robots to navigate a simple maze using wait block programming. A PowerPoint® presentation, a worksheet and pre/post quizzes are provided.

Students learn more about how light sensors work, reinforcing their similarities to the human sense of sight. They look at the light sensing process incoming light converted to electrical signals sent to the brain through the human eye anatomy as well as human-made electrical light sensors. A mini-activity, which uses LEGO MINDSTORMS(TM) NXT intelligent bricks and light sensors gives students a chance to investigate how light sensors function in preparation for the associated activity involving the light sensors and taskbots. A PowerPoint® presentation explains stimulus-to-response pathways, sensor fundamentals, and details about the LEGO light sensor, including its two modes of gathering data and what its numerical value readings mean. Students take pre/post quizzes and watch a short online video. This lesson and its associated activity enable students to gain a deeper understanding of how robots can take sensor input and use it to make decisions via programming.

Students learn about how sound sensors work, reinforcing their similarities to the human sense of hearing. They look at the hearing process sound waves converted to electrical signals sent to the brain through human ear anatomy as well as sound sensors. A mini-activity, which uses LEGO MINDSTORMS(TM) NXT intelligent bricks and sound sensors gives students a chance to experiment with the sound sensors in preparation for the associated activity involving the sound sensors and taskbots. A PowerPoint® presentation explains stimulus-to-response pathways, sensor fundamentals, the unit of decibels, and details about the LEGO sound sensor, including how readings are displayed and its three modes of programming sound input. Students take pre/post quizzes and watch a short online video. This lesson and its associated activity enable students to appreciate how robots can take sensor input and use it to make decisions to via programming.

Students learn about how touch sensors work, while reinforcing their similarities to the human sense of touch. They look at human senses and their electronic imitators, with special focus on the nervous system, skin and touch sensors. A PowerPoint® presentation explains stimulus-to-response pathways, how touch sensors are made and work, and then gives students a chance to handle and get familiar with the LEGO touch sensor, including programming LEGO MINDSTORMS(TM) NXT robots to use touch sensor input to play music. Students take pre/post quizzes and watch a short online video. The mini-activities prepare students for the associated activity. This lesson and its associated activity enables students to appreciate how robots can take input from sensors, and use that to make decisions to move.

Students learn about how ultrasonic sensors work, reinforcing the connection between this sensor and how humans, bats and dolphins estimate distance. They learn the echolocation process sound waves transmitted, bounced back and received, with the time difference used to calculate the distance of objects. Two mini-activities, which use LEGO MINDSTORMS(TM) NXT robots and ultrasonic sensors, give students a chance to experiment with ultrasonic sensors in preparation for the associated activity. A PowerPoint® presentation explains stimulus-to-response pathways, sensor fundamentals, and details about the LEGO ultrasonic sensor. Pre/post quizzes are provided. This lesson and its associated activity enable students to gain a deeper understanding of how robots can take sensor input and use it to make decisions via programming.

The purpose of this study was to examine the comparative influence of college administrator credential programs, on-the-job experiences, and the ISLLC Standards in the development of leadership expertise among urban public school principals. An exploratory, ex-post-facto research design used both quantitative and qualitative approaches. A survey of 101 randomly selected urban school principals from 25 of America’s largest metropolitan school districts was given, followed by telephone interviews with a subset of 20 randomly selected survey participants. Data were analyzed through the use of inferential and descriptive statistics and descriptive narratives. On-the-job experiences were significantly more important in developing leadership expertise than college credential programs on each of 41 ISLLC-based learning tasks. However, college credential programs are also important sources of leadership development. Several significant differences were found between comparative ratings of learning tasks by subgroups (experience, gender, school type). Respondents ranked 78% of the ISLLC Standards as very important to the field of school leadership. Interview subjects expressed concern about lack of preparation in budgeting, data analysis, teacher evaluation, and change management.