Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
15,476
result(s) for
"Warren, M."
Sort by:
Can China lead? : reaching the limits of power and growth
\"A book for anyone doing business in China Most literature on doing business in emerging markets has focused on why to enter these markets and how to build your business once you get there. But with the rapid changes that globalization has brought on, what's needed is an updated look at the current difficulties of doing business in these regions-and in China in particular. Why is it so much harder for companies to operate there today even from just a decade ago? Three of the field's foremost experts, all Harvard Business School professors, explain the rapidly changing context and challenges of the region. Based on their combined experience, F. Warren McFarlan, William Kirby, and Regina Abrami argue that China is at an inflection point, with changes in its economic path that will play out in the coming decades. Dismantling persistent myths, the authors describe the rapidly changing context in China and the new challenges shaping business there, and examine whether companies should rethink their growth aspirations and strategies in the region. The book draws from more than 30 case studies by the authors on Chinese firms and other companies doing business there. A provocative and necessary addition to the global conversation, Can China Lead offers a radical reassessment of China's capabilities that flies in the face of conventional wisdom\"-- Provided by publisher.
Book
Technology of deep brain stimulation: current status and future directions
Deep brain stimulation (DBS) is a neurosurgical procedure that allows targeted circuit-based neuromodulation. DBS is a standard of care in Parkinson disease, essential tremor and dystonia, and is also under active investigation for other conditions linked to pathological circuitry, including major depressive disorder and Alzheimer disease. Modern DBS systems, borrowed from the cardiac field, consist of an intracranial electrode, an extension wire and a pulse generator, and have evolved slowly over the past two decades. Advances in engineering and imaging along with an improved understanding of brain disorders are poised to reshape how DBS is viewed and delivered to patients. Breakthroughs in electrode and battery designs, stimulation paradigms, closed-loop and on-demand stimulation, and sensing technologies are expected to enhance the efficacy and tolerability of DBS. In this Review, we provide a comprehensive overview of the technical development of DBS, from its origins to its future. Understanding the evolution of DBS technology helps put the currently available systems in perspective and allows us to predict the next major technological advances and hurdles in the field.Deep brain stimulation (DBS) is a neurosurgical procedure that allows targeted circuit-based neuromodulation and has become a standard of care in a range of movement disorders. This Review discusses the evolution and current status of DBS technology and anticipates future advances.
Journal Article
Impact of solar panels on global climate
This study considers how large-scale application of solar panels will affect climate. Electricity generation leads to regional cooling but this is countered by the power’s use, affecting global circulation patterns with changes in regional rainfall.
Regardless of the harmful effects of burning fossil fuels on global climate
1
,
2
, other energy sources will become more important in the future because fossil fuels could run out by the early twenty-second century
3
given the present rate of consumption
4
. This implies that sooner or later humanity will rely heavily on renewable energy sources. Here we model the effects of an idealized large-scale application of renewable energy on global and regional climate relative to a background climate of the representative concentration pathway 2.6 scenario (RCP2.6; ref.
5
). We find that solar panels alone induce regional cooling by converting incoming solar energy to electricity in comparison to the climate without solar panels. The conversion of this electricity to heat, primarily in urban areas, increases regional and global temperatures which compensate the cooling effect. However, there are consequences involved with these processes that modulate the global atmospheric circulation, resulting in changes in regional precipitation.
Journal Article
Relative contributions of different neural sources to the EEG
•Action potentials account for approximately 20% of the EEG signal generator.•L5 PCs are the dominant contributor to the EEG.•Action potentials are sufficient to generate physiological oscillations in the EEG.
Dogma dictates that the EEG signal is generated by postsynaptic currents (PSCs) because there are an enormous number of synapses in the brain, and PSCs have relatively long durations. However, PSCs are not the only potential source of electric fields in the brain. Action potentials, afterpolarizations, and presynaptic activity can also generate electric fields. Experimentally it is exceedingly difficult to delineate the contributions of different sources because they are casually linked. However, using computational modeling, we can interrogate the relative contributions of different neural elements to the EEG. We used a library of neuron models with morphologically realistic axonal arbors to quantify the relative contributions of PSCs, action potentials, and presynaptic activity to the EEG signal. Consistent with prior assertions, PSCs were the largest contributor to the EEG, but action potentials and afterpolarizations can also make appreciable contributions. For a population of neurons generating simultaneous PSCs and action potentials, we found that the action potentials accounted for up to 20% of the source strength while PSCs accounted for the other 80% and presynaptic activity negligibly contributed. Additionally, L5 PCs generated the largest PSC and action potential signals indicating that they the dominant EEG signal generator. Further, action potentials and afterpolarizations were sufficient to generate physiological oscillations, indicating that they are valid source contributors to the EEG. The EEG emerges from a combination of multiple different source, and, while PSCs are the largest contributor, other sources are non-negligible and should be included in modeling, analysis and interpretation of the EEG.
Journal Article
Climate Change Projections in CESM1(CAM5) Compared to CCSM4
Future climate change projections for phase 5 of the Coupled Model Intercomparison Project (CMIP5) are presented for the Community Earth System Model version 1 that includes the Community Atmospheric Model version 5 [CESM1(CAM5)]. These results are compared to the Community Climate System Model, version 4 (CCSM4) and include simulations using the representative concentration pathway (RCP) mitigation scenarios, and extensions for those scenarios beyond 2100 to 2300. Equilibrium climate sensitivity of CESM1 (CAM5) is 4.10°C, which is higher than the CCSM4 value of 3.20°C. The transient climate response is 2.33°C, compared to the CCSM4 value of 1.73°C. Thus, even though CESM1(CAM5) includes both the direct and indirect effects of aerosols (CCSM4 had only the direct effect), the overall climate system response including forcing and feedbacks is greater in CESM1(CAM5) compared to CCSM4. The Atlantic Ocean meridional overturning circulation (AMOC) in CESM1(CAM5) weakens considerably in the twenty-first century in all the RCP scenarios, and recovers more slowly in the lower forcing scenarios. The total aerosol optical depth (AOD) changes from ∼0.12 in 2006 to ∼0.10 in 2100, compared to a preindustrial 1850 value of 0.08, so there is less negative forcing (a net positive forcing) from that source during the twenty-first century. Consequently, the change from 2006 to 2100 in aerosol direct forcing in CESM1(CAM5) contributes to greater twenty-first century warming relative to CCSM4. There is greater Arctic warming and sea ice loss in CESM1(CAM5), with an ice-free summer Arctic occurring by about 2060 in RCP8.5 (2040s in September) as opposed to about 2100 in CCSM4 (2060s in September).
Journal Article
Highly efficient modeling and optimization of neural fiber responses to electrical stimulation
Peripheral neuromodulation has emerged as a powerful modality for controlling physiological functions and treating a variety of medical conditions including chronic pain and organ dysfunction. The underlying complexity of the nonlinear responses to electrical stimulation make it challenging to design precise and effective neuromodulation protocols. Computational models have thus become indispensable in advancing our understanding and control of neural responses to electrical stimulation. However, existing approaches suffer from computational bottlenecks, rendering them unsuitable for real-time applications, large-scale parameter sweeps, or sophisticated optimization. In this work, we introduce an approach for massively parallel estimation and optimization of neural fiber responses to electrical stimulation using machine learning techniques. By leveraging advances in high-performance computing and parallel programming, we present a surrogate fiber model that generates spatiotemporal responses to a wide variety of cuff-based electrical peripheral nerve stimulation protocols. We used our surrogate fiber model to design stimulation parameters for selective stimulation of pig and human vagus nerves. Our approach yields a several-orders-of-magnitude improvement in computational efficiency while retaining generality and high predictive accuracy, demonstrating its robustness and potential to enhance the design and optimization of peripheral neuromodulation therapies.
Electricity can be used to stimulate the nervous system to treat diseases, and computer models are powerful tools for designing these therapies. Here, authors develop a model of neurons’ responses to electricity that is accurate and thousands of times faster than the current industry standard.
Journal Article