Statistical Analysis of the Price Jumps of Financial Assets Based on LOB Data

The price process in electronic markets is one prototypical example of a stochastic process, and it has historically be fitted and analyzed using different stochastic models such as Levy processes, diffusions, and SDEs (stochastic differential equations). In this thesis, we analyze Microsoft stock data in 2014-11-03 with the goal of studying the presence of jumps based on Limit Order Book (LOB) data. To this end, we divide the whole day’s data into many consecutive intervals and proceed to apply a jump detection method to identify the intervals that could potentially have jumps. After obtaining the intervals with potential jumps, we zoom in these intervals and compare them in order to characterize their features. More specifically, we analyze the price LOB data from both the traditional side and the statistical side, and our aim is that try to identify statistical differences between the intervals with jumps and without any jump, and then give evidence to support this jump detection method and conjecture reasons for the appearance of sharp price changes in small intervals

COVID-19 Patients with Concurrent Acute Angle-Closure Glaucoma: A Retrospective Hospital Study.”

This retrospective study investigates the interaction between COVID-19 and Acute Angle-Closure Glaucoma (AACG), analyzing clinical features, laboratory fndings, and OCTAimages in 20 patients diagnosed with both conditions. Elevated Intraocular Pressure (IOP) levels and a decrease in the deep capillary plexus (DCP) and choriocapillaris (CC) foveal vessel density were observed, with infammation and coagulation markers also elevated. These fndings suggest that the physiological changes induced by COVID-19 may exacerbate AACG symptoms. Despite the study’s limitations, including a small sample size and retrospective design, these insights are pivotal for clinicians and underline the importance of careful ocular monitoring in COVID-19 patients. Further research is warranted to explore the long-term implica-tions of these fndings and the mechanistic pathways underlying the interaction between COVID-19 andAACG

Traumatic Brain Injury Induces Genome-Wide Transcriptomic, Methylomic, and Network Perturbations in Brain and Blood Predicting Neurological Disorders.

The complexity of the traumatic brain injury (TBI) pathology, particularly concussive injury, is a serious obstacle for diagnosis, treatment, and long-term prognosis. Here we utilize modern systems biology in a rodent model of concussive injury to gain a thorough view of the impact of TBI on fundamental aspects of gene regulation, which have the potential to drive or alter the course of the TBI pathology. TBI perturbed epigenomic programming, transcriptional activities (expression level and alternative splicing), and the organization of genes in networks centered around genes such as Anax2, Ogn, and Fmod. Transcriptomic signatures in the hippocampus are involved in neuronal signaling, metabolism, inflammation, and blood function, and they overlap with those in leukocytes from peripheral blood. The homology between genomic signatures from blood and brain elicited by TBI provides proof of concept information for development of biomarkers of TBI based on composite genomic patterns. By intersecting with human genome-wide association studies, many TBI signature genes and network regulators identified in our rodent model were causally associated with brain disorders with relevant link to TBI. The overall results show that concussive brain injury reprograms genes which could lead to predisposition to neurological and psychiatric disorders, and that genomic information from peripheral leukocytes has the potential to predict TBI pathogenesis in the brain

Structural studies on nucleocapsid proteins of shrimp white spot syndrome virus

Master'sMASTER OF SCIENC

Aqua­(sulfato-κO)bis­[2-(1,3-thia­zol-4-yl-κN)-1H-benzimidazole-κN 3]iron(II)

In the title compound, [Fe(SO4)(C10H7N3S)2(H2O)], the FeII cation is sixfold coordinated by four N atoms from two 2-(1,3-thia­zol-4-yl)-1H-benzimidazole ligands, one water O atom and one O atom of the sulfate dianion within a slightly distorted octa­hedral geometry. The cations and anions are connected by N—H⋯O and O—H⋯O hydrogen bonds into layers in the ab plane

A Service Chain Discovery and Recommendation Scheme Using Complex Network Theory

Service chain discovery and recommendation are significant in services composition. A complex network module based algorithm using services invocable relations is proposed to search useful service chains on the network. Furthermore, a new scheme for discovering composite services processes automatically and recommending service chains by ranking their QoS is provided. Simulations are carried out and the results indicate that some useful service chains in the dataset provided by the WSC2009 can be found by the new algorithm

Single cell molecular alterations reveal target cells and pathways of concussive brain injury.

The complex neuropathology of traumatic brain injury (TBI) is difficult to dissect, given the convoluted cytoarchitecture of affected brain regions such as the hippocampus. Hippocampal dysfunction during TBI results in cognitive decline that may escalate to other neurological disorders, the molecular basis of which is hidden in the genomic programs of individual cells. Using the unbiased single cell sequencing method Drop-seq, we report that concussive TBI affects previously undefined cell populations, in addition to classical hippocampal cell types. TBI also impacts cell type-specific genes and pathways and alters gene co-expression across cell types, suggesting hidden pathogenic mechanisms and therapeutic target pathways. Modulating the thyroid hormone pathway as informed by the T4 transporter transthyretin Ttr mitigates TBI-associated genomic and behavioral abnormalities. Thus, single cell genomics provides unique information about how TBI impacts diverse hippocampal cell types, adding new insights into the pathogenic pathways amenable to therapeutics in TBI and related disorders

Risk-based Prioritization among Air Pollution Control Strategies in the Yangtze River Delta, China

Background: The Yangtze River Delta (YRD) in China is a densely populated region with recent dramatic increases in energy consumption and atmospheric emissions. Objectives: We studied how different emission sectors influence population exposures and the corresponding health risks, to inform air pollution control strategy design. Methods: We applied the Community Multiscale Air Quality (CMAQ) Modeling System to model the marginal contribution to baseline concentrations from different sectors. We focused on nitrogen oxide (NOx) control while considering other pollutants that affect fine particulate matter [aerodynamic diameter $\leq 2.5 \mu m (PM_{2.5})$] and ozone concentrations. We developed concentration–response (C-R) functions for $PM_{2.5}$ and ozone mortality for China to evaluate the anticipated health benefits. Results: In the YRD, health benefits per ton of emission reductions varied significantly across pollutants, with reductions of primary $PM_{2.5}$ from the industry sector and mobile sources showing the greatest benefits of 0.1 fewer deaths per year per ton of emission reduction. Combining estimates of health benefits per ton with potential emission reductions, the greatest mortality reduction of 12,000 fewer deaths per year [95% confidence interval (CI), 1,200–24,000] was associated with controlling primary $PM_{2.5}$ emissions from the industry sector and reducing sulfur dioxide $(SO_2)$ from the power sector, respectively. Benefits were lower for reducing $NO_x$ emissions given lower consequent reductions in the formation of secondary $PM_{2.5}$ (compared with $SO_2$) and increases in ozone concentrations that would result in the YRD. Conclusions: Although uncertainties related to C-R functions are significant, the estimated health benefits of emission reductions in the YRD are substantial, especially for sectors and pollutants with both higher health benefits per unit emission reductions and large potential for emission reductions