Mark Horowitz – författare

Osteoimmunology: Interactions of the Immune and Skeletal Systems, Second Edition, explores the advancements that have been made in the field during the last 40 years, including valuable information on our understanding of the interactions between hematopoietic, immune, and bone cells, now known as the field of osteoimmunology.

This comprehensive work offers the most extensive summaries of research trends in the field and their translation into new therapeutics.

Early chapters deal with the development of osteoblasts, osteoclasts, hematopoietic stem cells, T and B-lymphocytes, and communications between these cellular elements, while later sections contain discussions of the signaling pathways by which RANKL influences osteoclast development and function. Subsequent chapters explore the effects that estrogen has on bone and the immune system, the development of pathologic conditions, and the growing research around osteoporosis, Paget's disease, the genetics of bone disease, and bone cancer metastasis.

Quantum mechanics, the subfield of physics that describes the behavior of very small (quantum) particles, provides the basis for a new paradigm of computing. First proposed in the 1980s as a way to improve computational modeling of quantum systems, the field of quantum computing has recently garnered significant attention due to progress in building small-scale devices. However, significant technical advances will be required before a large-scale, practical quantum computer can be achieved.

Quantum Computing: Progress and Prospects provides an introduction to the field, including the unique characteristics and constraints of the technology, and assesses the feasibility and implications of creating a functional quantum computer capable of addressing real-world problems. This report considers hardware and software requirements, quantum algorithms, drivers of advances in quantum computing and quantum devices, benchmarks associated with relevant use cases, the time and resources required, and how to assess the probability of success.

Comprehensive resource describing guidelines for safely reducing or stopping (deprescribing) antidepressants, benzodiazepines, gabapentinoids and z-drugs for patients, including step-by-step guidance for all commonly used medications, covering common pitfalls, troubleshooting, supportive strategies, and more.

Most formal guidance on psychiatric medication relates to starting or switching medications with minimal guidance on deprescribing medication. In 2023, the World Health Organisation and the United Nations called for patients, as a human right, to be informed of their right to discontinue treatment and to receive support to do so.

The Maudsley Deprescribing Guidelines fills a significant gap in guidance for clinicians by providing comprehensive and authoritative information on this important aspect of treatment.

This evidence-based handbook provides an overview of principles to be used in deprescribing. This is derived from fundamental scientific principles and the latest research on this topic, combined with emerging insights from clinical practice (including from patient experts).

Building on the recognised brand of The Maudsley Prescribing Guidelines, and the prominence of the authors’ work, including in The Lancet Psychiatry on tapering antidepressants (the most read article across all Lancet titles when it was released). The Maudsley Deprescribing Guidelines covers topics such as:

Written for anyone interested in safe deprescribing of psychiatric medications including psychiatrists, GPs, pharmacists, nurses, medical trainees, and interested members of the public. The Maudsley Deprescribing Guidelines is an essential resource on the subject that provides practical guidance on how to improve patient outcomes in this field of medicine.

Comprehensive resource describing guidelines for safely reducing or stopping (deprescribing) antidepressants, benzodiazepines, gabapentinoids and z-drugs for patients, including step-by-step guidance for all commonly used medications, covering common pitfalls, troubleshooting, supportive strategies, and more.

Most formal guidance on psychiatric medication relates to starting or switching medications with minimal guidance on deprescribing medication. In 2023, the World Health Organisation and the United Nations called for patients, as a human right, to be informed of their right to discontinue treatment and to receive support to do so.

The Maudsley Deprescribing Guidelines fills a significant gap in guidance for clinicians by providing comprehensive and authoritative information on this important aspect of treatment.

This evidence-based handbook provides an overview of principles to be used in deprescribing. This is derived from fundamental scientific principles and the latest research on this topic, combined with emerging insights from clinical practice (including from patient experts).

Building on the recognised brand of The Maudsley Prescribing Guidelines, and the prominence of the authors’ work, including in The Lancet Psychiatry on tapering antidepressants (the most read article across all Lancet titles when it was released). The Maudsley Deprescribing Guidelines covers topics such as:

Written for anyone interested in safe deprescribing of psychiatric medications including psychiatrists, GPs, pharmacists, nurses, medical trainees, and interested members of the public. The Maudsley Deprescribing Guidelines is an essential resource on the subject that provides practical guidance on how to improve patient outcomes in this field of medicine.

Most emerging applications in imaging and machine learning must perform immense amounts of computation while holding to strict limits on energy and power. To meet these goals, architects are building increasingly specialized compute engines tailored for these specific tasks. The resulting computer systems are heterogeneous, containing multiple processing cores with wildly different execution models. Unfortunately, the cost of producing this specialized hardware—and the software to control it—is astronomical. Moreover, the task of porting algorithms to these heterogeneous machines typically requires that the algorithm be partitioned across the machine and rewritten for each specific architecture, which is time consuming and prone to error.

Over the last several years, the authors have approached this problem using domain-specific languages (DSLs): high-level programming languages customized for specific domains, such as database manipulation, machine learning, or image processing. By giving up generality, these languages are able to provide high-level abstractions to the developer while producing high-performance output. The purpose of this book is to spur the adoption and the creation of domain-specific languages, especially for the task of creating hardware designs.

In the first chapter, a short historical journey explains the forces driving computer architecture today. Chapter 2 describes the various methods for producing designs for accelerators, outlining the push for more abstraction and the tools that enable designers to work at a higher conceptual level. From there, Chapter 3 provides a brief introduction to image processing algorithms and hardware design patterns for implementing them. Chapters 4 and 5 describe and compare Darkroom and Halide, two domain-specific languages created for image processing that produce high-performance designs for both FPGAs and CPUs from the same source code, enabling rapid design cycles and quick porting of algorithms. The final section describes how the DSL approach also simplifies the problem of interfacing between application code and the accelerator by generating the driver stack in addition to the accelerator configuration.

This book should serve as a useful introduction to domain-specialized computing for computer architecture students and as a primer on domain-specific languages and image processing hardware for those with more experience in the field.