A maximal LpL_p-regularity theory to initial value problems with time measurable nonlocal operators generated by additive processes

Let $Z=(Z_t)_{t\geq0}$ be an additive process with a bounded triplet $(0,0,\Lambda_t)_{t\geq0}$. Then the infinitesimal generators of $Z$ is given by time dependent nonlocal operators as follows: \begin{align*} \mathcal{A}_Z(t)u(t,x) &=\lim_{h\downarrow0}\frac{\mathbb{E}[u(t,x+Z_{t+h}-Z_t)-u(t,x)]}{h}=\int_{\mathbb{R}^d}(u(t,x+y)-u(t,x)-y\cdot \nabla u(t,x)1_{|y|\leq1})\Lambda_t(dy). \end{align*} Suppose that L\'evy measures $\Lambda_t$ have a lower bound (Assumption 2.10) and satisfy a weak-scaling property (Assumption 2.11). We emphasize that there is no regularity condition on L\'evy measures $\Lambda_t$ and they do not have to be symmetric. In this paper, we establish the $L_p$-solvability to initial value problem (IVP) \begin{equation} \label{20.07.15.17.02} \frac{\partial u}{\partial t}(t,x)=\mathcal{A}_Z(t)u(t,x),\quad u(0,\cdot)=u_0,\quad (t,x)\in(0,T)\times\mathbb{R}^d, \end{equation} where $u_0$ is contained in a scaled Besov space $B_{p,q}^{s;\gamma-\frac{2}{q}}(\mathbb{R}^d)$ (see Definition 2.8) with a scaling function $s$, exponent $p \in (1,\infty)$, $q\in[1,\infty)$, and order $\gamma \in [0,\infty)$. We show that IVP is uniquely solvable and the solution $u$ obtains full-regularity gain from the diffusion generated by a stochastic process $Z$. In other words, there exists a unique solution $u$ to IVP in $L_q((0,T);H_p^{\mu;\gamma}(\mathbb{R}^d))$, where $H_p^{\mu;\gamma}(\mathbb{R}^d)$ is a generalized Bessel potential space (see Definition 2.3). Moreover, the solution $u$ satisfies $$\|u\|_{L_q((0,T);H_p^{\mu;\gamma}(\mathbb{R}^d))}\leq N(1+T^2)\|u_0\|_{B_{p,q}^{s;\gamma-\frac{2}{q}}(\mathbb{R}^d)},$$ where $N$ is independent of $u$, $u_0$, and $T$.Comment: 44 page

Collapse transition of a square-lattice polymer with next nearest-neighbor interaction

We study the collapse transition of a polymer on a square lattice with both nearest-neighbor and next nearest-neighbor interactions, by calculating the exact partition function zeros up to chain length 36. The transition behavior is much more pronounced than that of the model with nearest-neighbor interactions only. The crossover exponent and the transition temperature are estimated from the scaling behavior of the first zeros with increasing chain length. The results suggest that the model is of the same universality class as the usual theta point described by the model with only nearest-neighbor interaction.Comment: 14 pages, 5 figure

A TABU SEARCH FOR MULTIPLE MULTI-LEVEL REDUNDANCY ALLOCATION PROBLEM IN SERIES-PARALLEL SYSTEMS

The traditional RAP (Redundancy Allocation Problem) is to consider only the component redundancy at the lowest-level. A system can be functionally decomposed into system, module, and component levels. Modular redundancy can be more effective than component redundancy at the lowest-level. We consider a MMRAP (Multiple Multi-level Redundancy Allocation Problem) in which all available items for redundancy (system, module, and component) can be simultaneously chosen. A tabu search of memory-based mechanisms that balances intensification with diversification via the short-term and long-term memory is proposed for its solution. To the best of our knowledge, this is the first attempt to use a TS for MMRAP. Our algorithm is compared with the previous genetic algorithm for MMRAP on the new composed test problems as well as the benchmark problems from the literature. Computational results show that the tabu search outstandingly outperforms the genetic algorithm for all test problems

A Societally-Optimized Resource Distribution (SORD) Framework for Community Flood Recovery

Natural hazards and disasters affect different populations within communities unevenly. However, natural hazards do not have the ability to discriminate between the population of the community; rather, it is the pre-existing socioeconomic conditions and the responses made to the hazards that cause disasters to be inequitable. Despite historical studies showing the disproportionate damages occurring to socially disadvantaged inhabitants, there has been limited studies demonstrating a systematic pursuit of equitable outcomes to natural hazards, particularly related to federal policy. Increasing rates and intensities of natural hazards, coupled with rising urbanization and more expensive infrastructure, underlines the criticality of addressing this shortcoming. A Societally-Optimized Resource Distribution (SORD) framework has been proposed to tackle the issue of socially unjust disasters. The novel framework centers the design of disaster resource distribution around the principles of social justice; equality and equity. Using computational optimization, it is intended that the resource distribution strategies developed through the SORD framework are first and foremost designed for the goal of fairness in the outcomes of a natural hazard. The SORD framework uses six main steps to achieve this goal: 1) hazard identification, 2) choosing societal damage indicators, 3) developing a community portfolio, 4) choosing resource types and amounts, 5) performing optimization, and 6) evaluation and decision-making. In order to demonstrate the SORD framework, an illustrative case study is provided using the 2016 flooding in Lumberton, NC. A community portfolio was developed for Lumberton using post-disaster household and business surveys completed as part of a longitudinal disaster recovery study by the NIST Center for Risk-Based Community Resilience Planning. Through the SORD framework, equality- and equity-based resource distribution strategies were developed and evaluated for the case of riverine flooding caused by the heavy rains of 2016 Hurricane Matthew. Structural retrofits were used as the resources for disaster mitigation, and household dislocation duration and business downtime duration were used as the metrics to gauge societal fairness. Using these metrics, equity was described using an average difference in days of dislocation and downtime amongst households and businesses, respectively, where a lower average difference is more equitable. The evaluations of the retrofit distributions obtained for Lumberton demonstrated that equity-based strategies were desirable compared to those based on equality. Equitable strategies were observed to have greater cost-efficiency not only in increasing equity per $1 million spent, but also in decreasing total days of dislocation and downtime. The high cost-efficiency was achieved with only minimal increases in total days of dislocation and downtime, compared to the equality-based distribution strategies. The results of the case study demonstrate great promise in the current version of the SORD framework. Future work in developing the SORD framework includes providing direction on considering long-term hazards, such as droughts, and non-structural types of resources for disaster mitigation and recovery

Direct measurements of tropospheric ozone using TOMS data

Fishman and Larsen have proposed a new algorithm, called 'tropospheric residual method,' which retrieves the climatological tropospheric ozone by using SAGE (Stratospheric Aerosol and Gas Experiment) and TOMS (Total Ozone Mapping Spectrometer) data. In this paper, we will examine the feasibility of detection for tropospheric ozone using only TOMS data. From a case study over the Atlantic Ocean off the coast of west Africa, it has been found that total ozone in the archived TOMS data has been overestimated over a region of marine-stratocumulus clouds

Agmatine modulates the phenotype of macrophage acute phase after spinal cord injury in rats

Agmatine is a decarboxylated arginine by arginine decarboxylase. Agmatine is known to be a neuroprotective agent. It has been reported that agmatine works as a NMDA receptor blocker or a competitive nitric oxide synthase inhibitor in CNS injuries. In spinal cord injury, agmatine showed reduction of neuropathic pain, improvement of locomotor function, and neuroprotection. Macrophage is a key cellular component in neuroinflammation, a major cause of impairment after spinal cord injury. Macrophage has subtypes, M1 and M2 macrophages. M1 macrophage induces a pro-inflammatory response, but M2 inspires an anti-inflammatory response. In this study, it was clarified whether the neuroprotective effect of agmatine is related with the modulation of macrophage subdivision after spinal cord injury. Spinal cord injury was induced in rats with contusion using MASCIS. Animals received agmatine (100 mg/ kg, IP) daily for 6 days beginning the day after spinal cord injury. The proportion of M1 and M2 macrophages are confirmed with immunohistochemistry and FACS. CD206+ & ED1+ cells were counted as M2 macrophages. The systemic treatment of agmatine increased M2 macrophages caudal side to epicenter 1 week after spinal cord injury in immunohistochemistry. M2 macrophage related markers, Arginase-1 and CD206 mRNA, were increased in the agmatine treatment group and M2 macrophage expressing and stimulated cytokine, IL-10 mRNA, also was significantly overexpressed by agmatine injection. Among BMPs, BMP2/4/7, agmatine significantly increased only the expression of BMP2 known to reduce M1 macrophage under inflammatory status. These results suggest that agmatine reduces impairment after spinal cord injury through modulating the macrophage phenotype. © Experimental Neurobiology 201