Comments on the twisted punctures of AevenA_\text{even} class S theory

We point out that the $\text{USp}$ symmetry associated to a full twisted puncture of a class S theory of type $A_\text{even}$ has the global anomaly associated to $\pi_4(\text{USp})=\mathbb{Z}_2$. We discuss manifestations of this fact in the context of the superconformal field theory $R_{2,2N}$ introduced by Chacaltana, Distler and Trimm. For example, we find that this theory can be thought of as a natural ultraviolet completion of an infrared-free $\text{SO}(2N+1)$ gauge theory with $2N$ flavors, whose $\text{USp}(4N)$ symmetry clearly has the global anomaly.Comment: 14 pages, 5 figures; v2: minor change

Low frequency noise in chemical vapor deposited MoS2

Inherent low frequency noise is a ubiquitous phenomenon, which limits operation and performance of electronic devices and circuits. This limiting factor is very important for nanoscale electronic devices, such as 2D semiconductor devices. In this work, low frequency noise in high mobility single crystal MoS2 grown by chemical vapor deposition (CVD) is investigated. The measured low frequency noise follows an empirical formulation of mobility fluctuations with Hooge' s parameter ranging between 1.44E-3 and 3.51E-2. Small variation of Hooge's parameter suggests superior material uniformity and processing control of CVD grown MoS2 devices than reported single-layer MoS2 FET. The extracted Hooge's parameter is one order of magnitude lower than CVD grown graphene. The Hooge's parameter shows an inverse relationship with the field mobility

Quantum Periods and Spectra in Dimer Models and Calabi-Yau Geometries

We study a class of quantum integrable systems derived from dimer graphs and also described by local toric Calabi-Yau geometries with higher genus mirror curves, generalizing some previous works on genus one mirror curves. We compute the spectra of the quantum systems both by standard perturbation method and by Bohr-Sommerfeld method with quantum periods as the phase volumes. In this way, we obtain some exact analytic results for the classical and quantum periods of the Calabi-Yau geometries. We also determine the differential operators of the quantum periods and compute the topological string free energy in Nekrasov-Shatashvili (NS) limit. The results agree with calculations from other methods such as the topological vertex.Comment: 39 pages, 2 figure

Study of Hydrogen Adsorption by V, V-Ti alloy and V-oxide through ab initio Calculations

The adsorption of hydrogen on surfaces of vanadium, vanadium-titatnium alloy and vanadium oxide was studied by ab initio calculations using Gaussian03 package. The activation and adsorption energies for adsorption were evaluated by scanning potential energy surfaces of respective systems comprising a hydrogen molecule and small cluster consisting of several metal atoms for modelling an alloy surface to reduce computational cost. The surfaces investigated were V(110), V-Ti(110), VO(111) and VO(110), diaerent cluster models being adopted for some surfaces to examine their validities and to and an appropriate cluster model and adsorption site. By comparing the results obtained by using the alloy and/or compound in diaerent cases, it was found that the activation energy for adsorption is larger for surfaces with an oxygen adlayer than for clean and Ti-covered vanadium surfaces. These andings are in good agreement with experimental observations. It was also demonstrated that diaerent cluster models for a given alloy give similar activation and adsorption energies

Immunologically Modified FETs for Protein Detection in Biological Fluids

Engineering: 3rd Place (The Ohio State University Denman Undergraduate Research Forum)Field effect transistors (FETs) are solid-state electrical devices with semiconductor channels through which charge carriers migrate and generate current. The application of an electric field proximal to the conductive channel causes a change in current depending on the sign and magnitude of the field. FETs can be modified for protein sensing by deployment of antibodies as receptors on the channel surface to create an immunologically modified FET (immunoFET). Binding of analytes brings a layer of charge proximal to the channel surface, causing modulation of current that is easily detectable, allowing for quantitative detection of unlabeled analytes. We present the successful detection of​ inflammatory chemokine CXCL9 in both murine serum and human urine from transplant patients using immunoFETs modified with anti-CXCL9 IgG. CXCL9 was detected in renal transplant urine at biologically relevant levels and correlated with rejection by renal biopsy. The presented work demonstrates the feasibility of immunoFET sensor operation in physiologic buffers, and shows the potential to provide real-time quantification and monitoring of inflammatory mediators, allowing for minimally invasive interrogation of graft status. The FET design may be scalable to allow for real-time, label-free, point-of-care diagnostic use.Academic Major: Biomedical EngineeringAcademic Major: Electrical and Computer Engineerin

Adverse event detection by integrating twitter data and VAERS

Background: Vaccinehasbeenoneofthemostsuccessfulpublichealthinterventionstodate.However,vaccines are pharmaceutical products that carry risks so that many adverse events (AEs) are reported after receiving vaccines. Traditional adverse event reporting systems suffer from several crucial challenges including poor timeliness. This motivates increasing social media-based detection systems, which demonstrate successful capability to capture timely and prevalent disease information. Despite these advantages, social media-based AE detection suffers from serious challenges such as labor-intensive labeling and class imbalance of the training data. Results: Totacklebothchallengesfromtraditionalreportingsystemsandsocialmedia,weexploittheircomplementary strength and develop a combinatorial classification approach by integrating Twitter data and the Vaccine Adverse Event Reporting System (VAERS) information aiming to identify potential AEs after influenza vaccine. Specifically, we combine formal reports which have accurately predefined labels with social media data to reduce the cost of manual labeling; in order to combat the class imbalance problem, a max-rule based multi-instance learning method is proposed to bias positive users. Various experiments were conducted to validate our model compared with other baselines. We observed that (1) multi-instance learning methods outperformed baselines when only Twitter data were used; (2) formal reports helped improve the performance metrics of our multi-instance learning methods consistently while affecting the performance of other baselines negatively; (3) the effect of formal reports was more obvious when the training size was smaller. Case studies show that our model labeled users and tweets accurately. Conclusions: WehavedevelopedaframeworktodetectvaccineAEsbycombiningformalreportswithsocialmedia data. We demonstrate the power of formal reports on the performance improvement of AE detection when the amount of social media data was small. Various experiments and case studies show the effectiveness of our model

〈Research Reports〉Spontaneous simulation of land surface temperature in Tianjin city, China

Monitoring and simulating land surface temperature (LST) by using satellite images is an essential approach to understand land use/cover changes, especially in developing countries where the availability of ground truth and statistical data is limited. This study analyzed the relationship between LST and land use/cover types in Tianjin city from 2005 to 2015. Then, based on the LST distribution maps, we simulated LST in 2025 by employing a hybrid model of the artificial neural network and the cellular automata. The results show that the LST is gradually increasing from 2005 to 2025 with the changes in the land use/cover. This study provides significative information for sustainable development and environmental protection in the future

Ruthenium-based antitumor drugs and delivery systems from monotherapy to combination therapy

Ruthenium complex is an important compound group for antitumor drug research and development. NAMI-A, KP1019, TLD1433 and other ruthenium complexes have entered clinical research. In recent years, the research on ruthenium antitumor drugs has not been limited to single chemotherapy drugs; other applications of ruthenium complexes have emerged such as in combination therapy. During the development of ruthenium complexes, drug delivery forms of ruthenium antitumor drugs have also evolved from single-molecule drugs to nanodrug delivery systems. The review summarizes the following aspects: (1) ruthenium complexes from monotherapy to combination therapy, including the development of single-molecule compounds, carrier nanomedicine, and self-assembly of carrier-free nanomedicine; (2) ruthenium complexes in the process of ADME in terms of absorption, distribution, metabolism and excretion; (3) the applications of ruthenium complexes in combination therapy, including photodynamic therapy (PDT), photothermal therapy (PTT), photoactivated chemotherapy (PACT), immunotherapy, and their combined application; (4) the future prospects of ruthenium-based antitumor drugs.publishedVersio

An NMR Study on Hydration and Molecular Interaction of Phytantriol‐Based Liquid Crystals

Phytantriol-based lyotropic liquid crystals (LLCs) have emerged as a new nanodrug delivery system. However, the understanding of phytantriol-based LLCs is lacking. In this study, we use NMR technology to characterize LLC formation over two months. Three samples in different phases were prepared with different hydration states. NMR data, including 1D-1H, 13C-{1H}, 2D-HSQC, HMBC, COSY, NOESY, etc., were collected. A comprehensive analysis of these NMR data was performed on the three phases of phytantriol-based LLCs. The following results were achieved from the study. First, the 1H and 13C-{1H} spectra of phytantriol were assigned. Second, the change of NMR spectra during the formation of the phases was observed, and the change of hydration was calculated for the time-dependent phase formation. Third, the correlation peaks of 2D-NOESY were used to describe the spatial relationship of lipids–water interaction and lipid–lipid interaction.publishedVersio