Towards Generating Secure Keys for Braid Cryptography

Braid cryptosystem was proposed in CRYPTO 2000 as an alternate public-key cryptosystem. The security of this system is based upon the conjugacy problem in braid groups. Since then, there have been several attempts to break the braid cryptosystem by solving the conjugacy problem in braid groups. In this paper, we first survey all the major attacks on the braid cryptosystem and conclude that the attacks were successful because the current ways of random key generation almost always result in weaker instances of the conjugacy problem. We then propose several alternate ways of generating hard instances of the conjugacy problem for use braid cryptography

New Signature Scheme Using Conjugacy Problem

We propose a new digital signature scheme based on a non-commutative group where the conjugacy search problem is hard and the conjugacy decision problem is feasible. We implement our signature scheme in the braid groups and prove that an existential forgery of the implementation under no message attack gives a solution to a variation of conjugacy search problem. Then we discuss performance of our scheme under suggested parameters

Switching Magnetism and Superconductivity with Spin-Polarized Current in Iron-Based Superconductor

We have explored a new mechanism for switching magnetism and superconductivity in a magnetically frustrated iron-based superconductor using spin-polarized scanning tunneling microscopy (SPSTM). Our SPSTM study on single crystal Sr$_2$VO$_3$FeAs shows that a spin-polarized tunneling current can switch the Fe-layer magnetism into a non-trivial $C_4$ (2$\times$2) order, not achievable by thermal excitation with unpolarized current. Our tunneling spectroscopy study shows that the induced $C_4$ (2$\times$2) order has characteristics of plaquette antiferromagnetic order in Fe layer and strongly suppressed superconductivity. Also, thermal agitation beyond the bulk Fe spin ordering temperature erases the $C_4$ state. These results suggest a new possibility of switching local superconductivity by changing the symmetry of magnetic order with spin-polarized and unpolarized tunneling currents in iron-based superconductors.Comment: 33 pages, 16 figure

Effect of Crystallization Modes in TIPS-Pentacene/Insulating Polymer Blends on the Gas Sensing Properties of Organic Field-Effect Transistors

Blending organic semiconductors with insulating polymers has been known to be an effective way to overcome the disadvantages of single-component organic semiconductors for high-performance organic field-effect transistors (OFETs). We show that when a solution processable organic semiconductor (6,13-bis(triisopropylsilylethynyl)pentacene, TIPS-pentacene) is blended with an insulating polymer (PS), morphological and structural characteristics of the blend films could be significantly influenced by the processing conditions like the spin coating time. Although vertical phase-separated structures (TIPS-pentacene-top/PS-bottom) were formed on the substrate regardless of the spin coating time, the spin time governed the growth mode of the TIPS-pentacene molecules that phase-separated and crystallized on the insulating polymer. Excess residual solvent in samples spun for a short duration induces a convective flow in the drying droplet, thereby leading to one-dimensional (1D) growth mode of TIPS-pentacene crystals. In contrast, after an appropriate spin-coating time, an optimum amount of the residual solvent in the film led to two-dimensional (2D) growth mode of TIPS-pentacene crystals. The 2D spherulites of TIPS-pentacene are extremely advantageous for improving the field-effect mobility of FETs compared to needle-like 1D structures, because of the high surface coverage of crystals with a unique continuous film structure. In addition, the porous structure observed in the 2D crystalline film allows gas molecules to easily penetrate into the channel region, thereby improving the gas sensing properties

RAMP: response-aware multi-task learning with contrastive regularization for cancer drug response prediction

The accurate prediction of cancer drug sensitivity according to the multiomics profiles of individual patients is crucial for precision cancer medicine. However, the development of prediction models has been challenged by the complex crosstalk of input features and the resistance-dominant drug response information contained in public databases. In this study, we propose a novel multidrug response prediction framework, response-aware multitask prediction (RAMP), via a Bayesian neural network and restrict it by soft-supervised contrastive regularization. To utilize network embedding vectors as representation learning features for heterogeneous networks, we harness response-aware negative sampling, which applies cell line???drug response information to the training of network embeddings. RAMP overcomes the prediction accuracy limitation induced by the imbalance of trained response data based on the comprehensive selection and utilization of drug response features. When trained on the Genomics of Drug Sensitivity in Cancer dataset, RAMP achieved an area under the receiver operating characteristic curve > 89%, an area under the precision-recall curve > 59% and an F1 score > 52% and outperformed previously developed methods on both balanced and imbalanced datasets. Furthermore, RAMP predicted many missing drug responses that were not included in the public databases. Our results showed that RAMP will be suitable for the high-throughput prediction of cancer drug sensitivity and will be useful for guiding cancer drug selection processes. The Python implementation for RAMP is available at https://github.com/hvcl/RAMP

Salvage Treatment for Persistent Methicillin-Resistant Staphylococcus aureus Bacteremia: Efficacy of Linezolid With or Without Carbapenem

Background. Persistent methicillin-resistant Staphylococcus aureus (MRSA) bacteremia is associated with high mortality rates, but no treatment strategy has yet been established. We performed this study to evaluate the efficacy of linezolid with or without carbapenem in salvage treatment for persistent MRSA bacteremia. Methods. All adult patients with persistent MRSA bacteremia for >= 7 days from January 2006 through March 2008 who were treated at Seoul National University Hospital were studied. The results of linezolid salvage therapy with or without carbapenem were compared with those of salvage therapy with vancomycin plus aminoglycosides or rifampicin. Results. Thirty-five patients with persistent MRSA bacteremia were studied. The early microbiological response (ie, negative results for follow-up blood culture within 72 hours) was significantly higher in the linezolid-based salvage therapy group than the comparison group (75% vs 17%; P = .006). Adding aminoglycosides or rifampicin to vancomycin was not successful in treating any of the patients, whereas linezolid-based therapy gave an 88% salvage success rate (P < .001). The S. aureus-related mortality rate was lower for patients treated with a linezolid salvage regimen than for patients continually treated with a vancomycin-based regimen (13% vs 53%; P = .030). Conclusions. Linezolid-based salvage therapy effectively eradicated S. aureus from the blood for patients with persistent MRSA bacteremia. The salvage success rate was higher for linezolid therapy than for vancomycin-based combination therapy.Jenkins TC, 2008, CLIN INFECT DIS, V46, P1000, DOI 10.1086/529190Falagas ME, 2008, LANCET INFECT DIS, V8, P53, DOI 10.1016/S1473-3099(07)70312-2Hawkins C, 2007, ARCH INTERN MED, V167, P1861Kollef MH, 2007, CLIN INFECT DIS, V45, pS191, DOI 10.1086/519470Micek ST, 2007, CLIN INFECT DIS, V45, pS184, DOI 10.1086/519471*CLIN LAB STAND I, 2007, M100S17 CLIN LAB STAHidayat LK, 2006, ARCH INTERN MED, V166, P2138Howden BP, 2006, ANTIMICROB AGENTS CH, V50, P3039, DOI 10.1128/AAC.00422-06Hageman JC, 2006, CLIN INFECT DIS, V43, pE42Jacqueline C, 2006, ANTIMICROB AGENTS CH, V50, P2547, DOI 10.1128/AAC.01501-05Sakoulas G, 2006, CLIN INFECT DIS, V42, pS40Jones RN, 2006, CLIN INFECT DIS, V42, pS13Khatib R, 2006, SCAND J INFECT DIS, V38, P7, DOI 10.1080/00365540500372846Wu VC, 2006, CLIN INFECT DIS, V42, P66Jacqueline C, 2005, ANTIMICROB AGENTS CH, V49, P45, DOI 10.1128/AAC.49.1.45-51.2005*CDCP, 2005, CA MRSA CLIN FAQS CDFowler VG, 2004, J INFECT DIS, V190, P1140Wisplinghoff H, 2004, CLIN INFECT DIS, V39, P309, DOI 10.1086/421946Khosrovaneh A, 2004, CLIN INFECT DIS, V38, P1328Howden BP, 2004, CLIN INFECT DIS, V38, P521KIM SH, 2004, 42 ANN M INF DIS SOC, P142Fowler VG, 2003, ARCH INTERN MED, V163, P2066Kim SH, 2003, CLIN INFECT DIS, V37, P794Moise PA, 2002, J ANTIMICROB CHEMOTH, V50, P1017, DOI 10.1093/jac/dkf215Li JS, 2000, CLIN INFECT DIS, V30, P633You I, 2000, DIAGN MICR INFEC DIS, V36, P37Lowy FD, 1998, NEW ENGL J MED, V339, P520Hiramatsu K, 1997, LANCET, V350, P1670LIBMAN H, 1984, ARCH INTERN MED, V144, P5411