Can nocturnal hypertension predict cardiovascular risk?

Nocturnal hypertension and non-dipping of blood pressure during sleep are distinct entities that often occur together and are regarded as important harbingers of poor cardiovascular prognosis. This review addresses several aspects related to these blood pressure abnormalities including definitions, diagnostic limitations, pathogenesis and associated patient profiles, prognostic significance, and therapeutic strategies. Taken together, persistent nocturnal hypertension and non-dipping blood pressure pattern, perhaps secondary to abnormal renal sodium handling and/or altered nocturnal sympathovagal balance, are strongly associated with deaths, cardiovascular events, and progressive loss of renal function, independent of daytime and 24-hour blood pressure. Several pharmacological and non-pharmacological approaches may restore nocturnal blood pressure and circadian blood pressure rhythm to normal; however, whether this translates to a clinically meaningful reduction in unfavorable cardiovascular and renal consequences remains to be seen

Six Unpublished Nabataean Drachms: Filling some Gaps

Sechs bisher unbekannte nabatäische Drachmen aus der Regierungszeit von Aretas IV., Malichus II. und Rabbel II. werden in diesem Artikel vorgestellt. Die jeweils datierten Münzen schließen einige der zeitlichen Lücken in der Silberprägung dieser Zeit. Einblick in die Silberknappheit im nabatäischen Königreichs während dieser Periode wird gegeben. Für bislang (noch) nicht nachgewiesene datierte Drachmen lassen sich Vermutungen aufstellen.Six hitherto unknown dated Nabataean drachms from the reigns of Aretas IV, Malichus II, and Rabbel II are described in this article. The existence of these coins tightens some of the temporal gaps in the dated silver coinage of this period. Insight into the scarcity of silver within the Nabataean kingdom during this period is demonstrated. Suggestions as to yet undiscovered dated drachms are also made

A low-power receiver with switched-capacitor summation DFE

A low power receiver with a one tap DFE was fabricated in 90mm CMOS technology. The speculative equalization is performed using switched-capacitor-based addition directly at the front-end sample-hold circuit. In order to further reduce the power consumption, an analog multiplexer is used in the speculation technique implementation. A quarter-rate-clocking scheme facilitates the use of low-power front-end circuitry and CMOS clock buffers. At 10Gb/s data rate, the receiver consumes less than 6.0mW from a 1.0V supply

Learning Transformer Programs

Recent research in mechanistic interpretability has attempted to reverse-engineer Transformer models by carefully inspecting network weights and activations. However, these approaches require considerable manual effort and still fall short of providing complete, faithful descriptions of the underlying algorithms. In this work, we introduce a procedure for training Transformers that are mechanistically interpretable by design. We build on RASP [Weiss et al., 2021], a programming language that can be compiled into Transformer weights. Instead of compiling human-written programs into Transformers, we design a modified Transformer that can be trained using gradient-based optimization and then be automatically converted into a discrete, human-readable program. We refer to these models as Transformer Programs. To validate our approach, we learn Transformer Programs for a variety of problems, including an in-context learning task, a suite of algorithmic problems (e.g. sorting, recognizing Dyck-languages), and NLP tasks including named entity recognition and text classification. The Transformer Programs can automatically find reasonable solutions, performing on par with standard Transformers of comparable size; and, more importantly, they are easy to interpret. To demonstrate these advantages, we convert Transformers into Python programs and use off-the-shelf code analysis tools to debug model errors and identify the ``circuits'' used to solve different sub-problems. We hope that Transformer Programs open a new path toward the goal of intrinsically interpretable machine learning.Comment: Our code, and example Transformer Programs, are available at https://github.com/princeton-nlp/TransformerProgram

A 6.0-mW 10.0-Gb/s Receiver With Switched-Capacitor Summation DFE

A low-power receiver with a one-tap decision feedback equalization (DFE) was fabricated in 90-nm CMOS technology. The speculative equalization is performed using switched-capacitor-based addition at the front-end sample-hold circuit. In order to further reduce the power consumption, an analog multiplexer is used in the speculation technique implementation. A quarter-rate-clocking scheme facilitates the use of low-power front-end circuitry and CMOS clock buffers. The receiver was tested over channels with different levels of ISI. The signaling rate with BER<10^-12 was significantly increased with the use of DFE for short- to medium-distance PCB traces. At 10-Gb/s data rate, the receiver consumes less than 6.0 mW from a 1.0-V supply. This includes the power consumed in all quarter-rate clock buffers, but not the power of a clock recovery loop. The input clock phase and the DFE taps are adjusted externally

Routes to Lower Greenhouse Gas Emissions from Freight Transportation in the City of San José

Freight represents approximately 30% of all transportation-related emissions in the U.S., but local climate action plans (CAPs) and freight plans often place limited emphasis on freight emissions reduction strategies. The objective of this report is to examine and present strategies for the City of San José, California to reduce GHG emissions from freight. The authors conducted a geospatial analysis of freight data related to San José, and an analysis of relevant literature and successful freight reduction strategies implemented globally. The report also provides key objectives and generalized strategies to reduce GHG emissions from freight as well as specific recommendations for San José. The analysis and recommendations can guide future transportation planning within San José and help inform other municipalities seeking to reduce their own community wide freight emissions