Hydrodinamic Aspects of a High-Speed SWATH and New Hull Form

The main problems of high-speed ships operating in open seas are their insufficient seaworthiness and speed loss in high sea states. Small Water-plane Area Twin-Hulls (SWATH) are characterised by excellent seaworthiness, but the hull forms of a traditional SWATH are not suited for higher speeds. A new shape of underwater gondola has been developed for a semi-planing (S/P) SWATH. Additionally, hydrofoils can be applied to this ship to provide the optimal dynamic draught and trim, to mitigate motions in rough seas, and even to carry a part of the ship weight. The relative speed of this SWATH can be beneficially increased up to the displacement Froude number 3. Several concept designs addressing naval and civil transportation needs are outlined in this paper

Multi-Task Learning for Post-transplant Cause of Death Analysis: A Case Study on Liver Transplant

Organ transplant is the essential treatment method for some end-stage diseases, such as liver failure. Analyzing the post-transplant cause of death (CoD) after organ transplant provides a powerful tool for clinical decision making, including personalized treatment and organ allocation. However, traditional methods like Model for End-stage Liver Disease (MELD) score and conventional machine learning (ML) methods are limited in CoD analysis due to two major data and model-related challenges. To address this, we propose a novel framework called CoD-MTL leveraging multi-task learning to model the semantic relationships between various CoD prediction tasks jointly. Specifically, we develop a novel tree distillation strategy for multi-task learning, which combines the strength of both the tree model and multi-task learning. Experimental results are presented to show the precise and reliable CoD predictions of our framework. A case study is conducted to demonstrate the clinical importance of our method in the liver transplant

Q-balls of Quasi-particles in a (2,0)-theory model of the Fractional Quantum Hall Effect

A toy model of the fractional quantum Hall effect appears as part of the low-energy description of the Coulomb branch of the $A_1$ (2,0)-theory formulated on $(S^1\times R^2)/Z_k$, where the generator of $Z_k$ acts as a combination of translation on $S^1$ and rotation by $2\pi/k$ on $R^2$. At low energy the configuration is described in terms of a 4+1D Super-Yang-Mills theory on a cone ($R^2/Z_k$) with additional 2+1D degrees of freedom at the tip of the cone that include fractionally charged particles. These fractionally charged quasi-particles are BPS strings of the (2,0)-theory wrapped on short cycles. We analyze the large $k$ limit, where a smooth cigar-geometry provides an alternative description. In this framework a W-boson can be modeled as a bound state of $k$ quasi-particles. The W-boson becomes a Q-ball, and it can be described as a soliton solution of Bogomolnyi monopole equations on a certain auxiliary curved space. We show that axisymmetric solutions of these equations correspond to singular maps from $AdS_3$ to $AdS_2$, and we present some numerical results and an asymptotic expansion.Comment: 44 pages, 4 figures, new version includes corrections to typos and corrections to section

Multi-Task Learning for Post-transplant Cause of Death Analysis: A Case Study on Liver Transplant

Organ transplant is the essential treatment method for some end-stage diseases, such as liver failure. Analyzing the post-transplant cause of death (CoD) after organ transplant provides a powerful tool for clinical decision making, including personalized treatment and organ allocation. However, traditional methods like Model for End-stage Liver Disease (MELD) score and conventional machine learning (ML) methods are limited in CoD analysis due to two major data and model-related challenges. To address this, we propose a novel framework called CoD-MTL leveraging multi-task learning to model the semantic relationships between various CoD prediction tasks jointly. Specifically, we develop a novel tree distillation strategy for multi-task learning, which combines the strength of both the tree model and multi-task learning. Experimental results are presented to show the precise and reliable CoD predictions of our framework. A case study is conducted to demonstrate the clinical importance of our method in the liver transplant

Crystal structure of bis[μ2-(pyrrolidine-1-carbodithioato-κS:κS,κS′)]-bis(triethylphosphine-κP)disilver(I), C22H46Ag2N2P2S4

C22H46Ag2N2P2S4, triclinic, P1̄ (no. 2), a = 10.2008(3) Å, b = 12.2058(3) Å, c = 13.2466(4) Å, α = 88.155(2)°, β = 87.256(2)°, γ = 69.324(2)°, V = 1541.12(8) Å3, Z = 2, R gt(F) = 0.0237, wR ref(F 2) = 0.0621, T = 100(2) K

Crystal structure of bis(mu(2)-diethyldithiocarbamato-kappa S-3,S ':S ')-bis (tricyclohexylphosphane-kappa P)dicopper(I), C46H86Cu2N2P2S4

C46H86Cu2N2P2S4, triclinic, P (1) over bar (no. 2), a = 9.9626(3) angstrom, b = 11.0489(3) angstrom, c = 12.3604(3) angstrom, alpha = 106.205(3)degrees, beta = 99.165(2)degrees,gamma = 100.306(3)degrees, V = 1253.53(6) angstrom(3), Z = 1, R-gt(F) = 0.0232, wR(ref)(F-2) = 0.0555, T = 100(2) K

Crystal structure of bis(mu(2)-pyrrolidine-1-carbodithioato-kappa(3) S,S ':S;kappa S-3:S:S ')-bis(tricyclohexylphosphane-P)-di-copper(I), C46H82Cu2N2P2S4

C46H82Cu2N2P2S4, triclinic, P (1) over bar (no. 2), a = 11.6189(2) angstrom, b = 12.2846(2) angstrom, c = 18.1744(2) angstrom, alpha = 97.3210(10)degrees, beta = 106.3080(10)degrees, gamma = 99.312(2)degrees, V = 2415.65(7) angstrom(3), Z = 2, R-gt(F) = 0.025, wR(ref)(F-2) = 0.066, T = 100(2) K

μ3-Chlorido-μ2-chlorido-(μ3-pyrrolidine-1-carbo-dithio-ato-κ(4)S:S,S':S')tris-[(tri-ethyl-phosphane-κP)copper(I)]:crystal structure and Hirshfeld surface analysis

The title trinuclear compound, [Cu3(C5H8NS2)Cl2(C6H15P)3], has the di-thio-carbamate ligand symmetrically chelating one Cu(I) atom and each of the S atoms bridging to another Cu(I) atom. Both chloride ligands are bridging, one being μ3- and the other μ2-bridging. Each Et3P ligand occupies a terminal position. Two of the Cu(I) atoms exist within Cl2PS donor sets and the third is based on a ClPS2 donor set, with each coordination geometry based on a distorted tetra-hedron. The constituents defining the core of the mol-ecule, i.e. Cu3Cl2S2, occupy seven corners of a distorted cube. In the crystal, linear supra-molecular chains along the c axis are formed via phosphane-methyl-ene-C-H⋯Cl and pyrrolidine-methyl-ene-C-H⋯π(chelate) inter-actions, and these chains pack without directional inter-actions between them. An analysis of the Hirshfeld surface points to the predominance of H atoms at the surface, i.e. contributing 86.6% to the surface, and also highlights the presence of C-H⋯π(chelate) inter-actions