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Nicotinamide adenine dinucleotide phosphate hydrogen (NADPH) oxidase-dependent reactive oxygen species (ROS) overproduction and decreased nitric oxide (NO) bioavailability lead to vascular dysfunction and development of hypertension. The goal of our study was to analyze an effect of salt diet and NO synthase (NOS) inhibition with NG-nitro-Larginine methyl ester (L-NAME) on blood pressure (BP), arterial reactivity, NO production, as well as ROS level in adult rats pretreated with low dose of L-NAME (2 mg/kg/day) for three weeks. Higher dose of L-NAME (40 mg/kg/day), or salt diet (8% NaCl), or combination of both were applied for the following four weeks. The administration of L-NAME in low dose had no effect on BP but enhanced the expression of eNOS. Both higher dose of L-NAME and salt diet elevated BP, decreased NOS activity, and impaired the endothelium-dependent arterial relaxation. However, salt diet did not increase ROS production and sympathoadrenergic arterial contractions in low dose L-NAME-pretreated rats. Combination of salt diet with higher dose of L-NAME did not evoke additive decrease of NOS activity, but it caused elevation of conjugated dienes (CD) concentration and NADPH oxidase 2 (Nox-2) protein expression. In conclusion, these findings indicate that chronic low dose of L-NAME treatment has a potential to trigger adapting mechanisms to attenuate some cardiovascular disorders. [ABSTRACT FROM AUTHOR]

The objective of the article is to present the linking of simulation and planning software. The paper begins with a review of recent literature as well as description of the problem under investigation. Following from practical requirements, five decision-making rules were implemented to the production process. In the final part, the overall results to ensure time and economic efficiency of the production process are presented. The obtained results show that the best option is to apply the rule during which the first part to be machined is the one that first enters the production process to ensure minimum production time, maximum machine load and limit machine costs. By application of this rule, the total production time accounts for 524 seconds at the total cost of 7914.60 €. The overall benefits of the research are being described in details in the final part of the article. [ABSTRACT FROM AUTHOR]

The IBM System z10™ Enterprise Class mainframe addresses the modern data center requirements for minimizing floor space while increasing computing power efficiency. These objectives placed challenges on the z10™ packaging design as a result of significantly increased demand on system packaging density, power delivery, and logic and power cooling efficiency compared with the recent IBM System z9® and z990 mainframe generations. Several innovations were implemented to successfully meet these challenges: a more powerful multichip module (MCM) that delivers denser computing capability and a 64-way system; a vertically mated processor unit (PU) book structure that achieves a more efficient thermal implementation and a higher signal bandwidth between processors; and a PU book-centric dc--dc power delivery design that is more efficient. This paper presents the key elements to achieve this design: the novel mechanical load transmission paths and the connector technologies for the MCM, PU book, I/O, and power regulation components; an innovative cooling and thermal design that includes component-level tolerance of failures; and improved power delivery and power code developments to maximize the overall z10 compute efficiency. [ABSTRACT FROM AUTHOR]

Introduction: The interaction of amyloid and tau in neurodegenerative diseases is a central feature of AD pathophysiology. While experimental studies point to various interaction mechanisms, their causal direction and mode (local, remote or network-mediated) remain unknown in human subjects. The aim of this study was to compare mathematical reaction-diffusion models encoding distinct cross-species couplings to identify which interactions were key to model success., Methods: We tested competing mathematical models of network spread, aggregation, and amyloid-tau interactions on publicly available data from ADNI., Results: Although network spread models captured the spatiotemporal evolution of tau and amyloid in human subjects, the model including a one-way amyloid-to-tau aggregation interaction performed best., Discussion: This mathematical exposition of the "pas de deux" of co-evolving proteins provides quantitative, whole-brain support to the concept of amyloid-facilitated-tauopathy rather than the classic amyloid-cascade or pure-tau hypotheses, and helps explain certain known but poorly understood aspects of AD.

Mounting evidence implicates trans-synaptic connectome-based spread as a shared mechanism behind different tauopathic conditions, yet also suggests there is divergent spatiotemporal progression between them. A potential parsimonious explanation for this apparent contradiction could be that different conditions incur differential rates and directional biases in tau transmission along fiber tracts. In this meta-analysis we closely examined this hypothesis and quantitatively tested it using spatiotemporal tau pathology patterns from 11 distinct models across 4 experimental studies. For this purpose, we extended a network-based spread model by incorporating net directionality along the connectome. Our data unambiguously supports the directional transmission hypothesis. First, retrograde bias is an unambiguously better predictor of tau progression than anterograde bias. Second, while spread exhibits retrograde character, our best-fitting biophysical models incorporate the mixed effects of both retrograde- and anterograde-directed spread, with notable tau-strain-specific differences. We also found a nontrivial association between directionality bias and tau strain aggressiveness, with more virulent strains exhibiting less retrograde character. Taken together, our study implicates directional transmission bias in tau transmission along fiber tracts as a general feature of tauopathy spread and a strong candidate explanation for the diversity of spatiotemporal tau progression between conditions. This simple and parsimonious mechanism may potentially fill a critical gap in our knowledge of the spatiotemporal ramification of divergent tauopathies., Competing Interests: Conflict of interest: The authors declare no competing financial interests.

A fundamental neuroscience topic is the link between the brain's molecular, cellular, and cytoarchitectonic properties and structural connectivity. Recent studies relate inter-regional connectivity to gene expression, but the relationship to regional cell-type distributions remains understudied. Here, we utilize whole-brain mapping of neuronal and non-neuronal subtypes via the matrix inversion and subset selection algorithm to model inter-regional connectivity as a function of regional cell-type composition with machine learning. We deployed random forest algorithms for predicting connectivity from cell-type densities, demonstrating surprisingly strong prediction accuracy of cell types in general, and particular non-neuronal cells such as oligodendrocytes. We found evidence of a strong distance dependency in the cell connectivity relationship, with layer-specific excitatory neurons contributing the most for long-range connectivity, while vascular and astroglia were salient for short-range connections. Our results demonstrate a link between cell types and connectivity, providing a roadmap for examining this relationship in other species, including humans., Competing Interests: Declaration of interests The authors declare no competing interests., (Copyright © 2023. Published by Elsevier Inc.)

With the increasing prevalence of Alzheimer's disease (AD) among aging populations and the limited therapeutic options available to slow or reverse its progression, the need has never been greater for improved diagnostic tools for identifying patients in the preclinical and prodomal phases of AD. Biophysics models of the connectome-based spread of amyloid-beta (Aβ) and microtubule-associated protein tau (τ) have enjoyed recent success as tools for predicting the time course of AD-related pathological changes. However, given the complex etiology of AD, which involves not only connectome-based spread of protein pathology but also the interactions of many molecular and cellular players over multiple spatiotemporal scales, more robust, complete biophysics models are needed to better understand AD pathophysiology and ultimately provide accurate patient-specific diagnoses and prognoses. Here we discuss several areas of active research in AD whose insights can be used to enhance the mathematical modeling of AD pathology as well as recent attempts at developing improved connectome-based biophysics models. These efforts toward a comprehensive yet parsimonious mathematical description of AD hold great promise for improving both the diagnosis of patients at risk for AD and our mechanistic understanding of how AD progresses., (Copyright © 2022 The Author(s). Published by Elsevier Inc. All rights reserved.)

The prion-like transsynaptic propagation of misfolded tau along the brain's connectome has previously been modeled using connectome-based network diffusion models. In addition to the connectome, interactions between the general neurological "milieu" in the neurodegenerative brain and proteinopathic species can also contribute to pathology propagation. Such a molecular nexopathy framework posits that the distinct characteristics of neurodegenerative disorders stem from interactions between the network and surrounding molecular players. However, the effects of these modulators remain unquantified. Here, we present Nexopathy in silico ("Nexis"), a quantitative model of tau progression augmenting earlier models by including parameters of pathology propagation defined by the molecular modulators of connectome-based spread. Our Nexis:microglia model provides the first quantitative characterization of this effect on the whole brain by expanding previous models of neuropathology progression by incorporating microglial influence. We show that Trem2, but not microglial homeostasis genes, significantly improved the model's predictive power. Trem2 appears to reduce tau accumulation rate while increasing its interregional spread from the hippocampal seed area, causing higher tau burden in the striatum, pallidum, and contralateral hippocampus. Nexis provides an improved understanding and quantification of microglial contribution to tau propagation and can be flexibly modified to include other modulators of progressive neurodegeneration., (© 2022. The Author(s).)