Analysis of corrections to the eikonal approximation

Various corrections to the eikonal approximations are studied for two- and three-body nuclear collisions with the goal to extend the range of validity of this approximation to beam energies of 10 MeV/nucleon. Wallace's correction does not improve much the elastic-scattering cross sections obtained at the usual eikonal approximation. On the contrary, a semiclassical approximation that substitutes the impact parameter by a complex distance of closest approach computed with the projectile-target optical potential efficiently corrects the eikonal approximation. This opens the possibility to analyze data measured down to 10 MeV/nucleon within eikonal-like reaction models.Comment: 10 pages, 8 figure

Absolute co-supplement and absolute co-coclosed modules

A module M is called an absolute co-coclosed (absolute co-supplement) module if whenever M ≅ T/X the submodule X of T is a coclosed (supplement) submodule of T. Rings for which all modules are absolute co-coclosed (absolute co-supplement) are precisely determined. We also investigate the rings whose (finitely generated) absolute co-supplement modules are projective. We show that a commutative domain R is a Dedekind domain if and only if every submodule of an absolute co-supplement R-module is absolute co-supplement. We also prove that the class Coclosed of all short exact sequences 0→A→B→C→0 such that A is a coclosed submodule of B is a proper class and every extension of an absolute co-coclosed module by an absolute co-coclosed module is absolute co-coclosed.Scientific and Technical Research Council of Turke

好アルカリ性Bacillus A-007株のK^+ : 促進ATPaseについて

1.好アルカリ性Bacillus A-007株の生育にとってK^+は必須であった.2.K^+-濃度を制限した培地(1.5mMK^+)で生育させた細胞の膜画分に, K^+により促進されるATPase活性が認められた.3.K^+促進ATPaseは, 動力学的特性及びウワバイン, NaN_3, PCMBに対する感受件において, 同菌株のH^+-ATPaseと明らかに異なっていた.1. K^+ was essential for the growth of an alkalophilic Bacillus A-007. 2. Membrane fraction, which was prepared from the cells grown in K^+ -limited medium (1.5mM K^+), showed K^+ -stimulated ATPase activity. 3. The K^+ -stimulated ATPase was clearly different from H^+ -ATPase on kinetical profile and ouabain-, NaN_3- and PCMB-sensvtivity

Risk response of complex projects: Risk association network method

A complex project, which has been recognized as a complex system with intricate interactions among organizations, is inevitably plagued with diverse risks and has fuzzy risk boundaries. Risk systems emerging from organizations and their interactions cannot be accounted for by traditional risk management theory. Research concerning risk response strategies that focus on these areas is urgently required. Through literature review and case analysis, 78 complex project organization-associated risks were identified. Three rounds of brainstorming meetings were used to collect risk association data from nine professional senior engineers participating in the construction process for complex projects within the last decade. The data were processed to model the complex network of complex project risk association. Targeted immunization and improved acquaintance immunization were applied to risk network of specific complex projects to empirically analyze changes in network density, helping to determine the optimal immunization strategy, including identification of critical risks and prevention of abnormal risk-associated transmission. Results demonstrated the feasibility and superiority of the model and the applicability of the response strategies developed. This research develops, for the first time, a list of complex project risks as well as a risk association complex-network model that is applicable to engineering practice, thus providing theoretical support for risk management in complex projects and an understanding of risk response strategies for decision makers

Unified Saliency Detection Model Using Color and Texture Features

<div><p>Saliency detection attracted attention of many researchers and had become a very active area of research. Recently, many saliency detection models have been proposed and achieved excellent performance in various fields. However, most of these models only consider low-level features. This paper proposes a novel saliency detection model using both color and texture features and incorporating higher-level priors. The SLIC superpixel algorithm is applied to form an over-segmentation of the image. Color saliency map and texture saliency map are calculated based on the region contrast method and adaptive weight. Higher-level priors including location prior and color prior are incorporated into the model to achieve a better performance and full resolution saliency map is obtained by using the up-sampling method. Experimental results on three datasets demonstrate that the proposed saliency detection model outperforms the state-of-the-art models.</p></div

Organization synchronization in response to complex project delays: Network-based analysis

In response to frequent complex project delays, organization synchronization, a set of interactions, is a dynamic behavior that helps to restore the stability of complex projects after delays. However, few studies have figured out how organizations synchronize effectively in order to deal with delay issues. To solve this problem, this study first provides a preliminary list of CDFs and indices of organization interactions are also given. A total of 15 key CDFs and 10 interaction ways were refined according to a questionnaire survey. In addition, the complex network synchronization (CNS) theory was adopted to analyze the synchronizability and importance of nodes by comprehensively using multiple parameters. A complex metro project with 51 project organizations was used as a case study and we found that specific signal organizations synchronized through three effective interaction ways (meetings, discussion and study, and the Internet) to cope with six CDFs (safety accidents, prominent problems of land expropriation, unreasonable timelines by clients, improper construction designs, delayed payments, and high financial risks). This study contributes to defining organization synchronization, providing a feasible research framework for assessing network synchronizability and identifying signal organizations in complex projects, and guiding practitioners to effectively cope with delays by interactions between signal organizations

Heat Flow Guiding and Modulation by Kinks in a Silicon Nanoribbon

Tailoring heat flow in solids has profound implications for the innovation of functional thermal devices. However, the current methods face technological challenges related to system complexity, material stability, and operating temperature. In this study, we demonstrated efficient heat flow modulation in a single material without a phase transition, using a simple and entirely material-independent strategy, kinked nanostructure patterning, at near-ambient temperature. By carefully controlling the kink arm length and kink angle of the Si nanoribbons, we achieved a thermal conductivity modulation of up to ∼20%. Our theoretical modeling showed that this modulation results from the competing roles of phonon backscattering and open view channels on heat transport. We also build a regime map based on the existence of an open view channel and provide concrete design guidelines for thermal conductivity modulation considering the kink angle and arm length. This study opens up new opportunities for efficient heat flow manipulation through nanostructure patterning

Association between neutrophil to high-density lipoprotein cholesterol ratio and disease severity in patients with acute biliary pancreatitis

The neutrophil to high-density lipoprotein cholesterol ratio (NHR) is independently associated with the severity of various diseases. However, its association with acute biliary pancreatitis (ABP) remains unknown. This study included 1335 eligible patients diagnosed with ABP from April 2016 to December 2022. Patients were divided into low- and high-NHR level groups using an optimal cut-off value determined utilizing Youden’s index. Multivariate logistic regression analysis was used to investigate the correlation between NHR and ABP severity. Multivariate analysis-based limited restricted cubic spline (RCS) method was used to evaluate the nonlinear relationship between NHR and the risk of developing moderate or severe ABP. In this study, multivariate logistic regression analysis indicated an independent association between NHR and ABP severity (p  0.05), and increased NHR was found to be independently associated with a more severe form of the disease. Our study suggests that NHR is a simple and practical independent indicator of disease severity, serving as a potential novel predictor for patients with ABP. This study is the first to report on the independent association between the neutrophil to high-density lipoprotein cholesterol ratio (NHR) and acute biliary pancreatitis (ABP) severity. The restricted cubic spline analysis showed a linear correlation between NHR and the risk of developing moderate or severe ABP. Increased NHR levels are independently associated with a more severe degree of the disease.</p

Units for the AUC Comparison on DB-BRUCE Database.

<p>Units for the AUC Comparison on DB-BRUCE Database.</p

Thermodynamics of Hydrophobic Amino Acids in Solution: A Combined Experimental–Computational Study

We present a joint experimental–computational study to quantitatively describe the thermodynamics of hydrophobic leucine amino acids in aqueous solution. X-ray scattering data were acquired at a series of solute and salt concentrations to effectively measure interleucine interactions, indicating that a major scattering peak is observed consistently at <i>q</i> = 0.83 Å^–1. Atomistic molecular dynamics simulations were then performed and compared with the scattering data, achieving high consistency at both small and wider scattering angles (<i>q</i> = 0–1.5 Å^–1). This experimental–computational consistence enables a first glimpse of the leucine–leucine interacting landscape, where two leucine molecules are aligned mostly in a parallel fashion, as opposed to antiparallel, but also allows us to derive effective leucine–leucine interactions in solution. Collectively, this combined approach of employing experimental scattering and molecular simulation enables quantitative characterization of effective intermolecular interactions of hydrophobic amino acids, critical for protein function and dynamics such as protein folding