E.m SSR genotypes

Genotyping allele dataset of 10 microsatellite loci for Eremias multiocellata. Population information are also included.</p

Patterns in a freshwater tussock sedge model

We study pattern formation mechanisms in a reaction diffusion model arising from the interactions between the tussock sedges and the wracks. We first show that the corresponding kinetic system has either a limit cycle or a heteroclinic orbit that connects the extinction state to the coexistent state. This implies that under different conditions, the tussock sedge grasses and the wracks coexist in a cyclic way, or settle down directly to the coexistent equilibrium state regardless of the spatial location. We then investigate the non-constant positive solutions of the corresponding elliptic system in a bounded region in Rn with zero flux boundary condition. We identify the above solutions as patterns. We find that the domain size, by various a priori estimates, the growth rate of the tussock sedge grasses, and the carrying capacity of land all contribute to the formation of patterns. By computing the Leray Schauder degree, we derive the conditions for the existence of the patterns.</p

‘Tiyu (体育)’ for development and peace? An examination of attitudes and possibilities of the People’s Republic of China regarding the Sport for Development and Peace (SDP) movement

The People’s Republic of China (PRC) has appeared to be inattentive towards the globally lobbied Sport for Development and Peace (SDP) movement that endeavors to leverage sport for non-sporting development, currently subscribing to the United Nations’ 17 Sustainable Development Goals (SDGs). By adopting the concept of ‘tiyu (体育)’—the supposed Chinese counterpart of ‘sport’—which also seeks to achieve wider objectives grounded on its premise of ‘body cultivation’, this paper proceeds with a text-based qualitative study incorporating document analysis and literature review to examine its current links to SDP. The findings suggest that: (1) While the national development foci of the PRC have demonstrated alignment with the SDGs, its tiyu policies have not. (2) Mainstream SDP projects have failed to be accommodated in the PRC, although some non-SDP tiyu practices have shown a commitment to SDP-desired outcomes. (3) The relative lack of interest in SDP in the PRC has not prevented some tiyu scholars from heeding this movement. Accordingly, this paper assesses the prospects of changing attitudes in the PRC toward SDP.</p

API-based two-dimensional dispatching decision-making approach for semiconductor wafer fabrication with operation due date–related objectives

<p>This paper presents an adjacent pairwise interchanges (API)-based two-dimensional dispatching decision-making approach for semiconductor wafer fabrication with operation due date-related objectives. Each time when a machine becomes idle, the proposed dispatcher chooses a target processing job from the competing jobs and assigns it a start time. Giving the operation due date information of each competing job, we formulate this dispatcher as the mean absolute deviation problem to keep the jobs finished around their operation due dates in a proactive way. Dominance properties of this problem are established using proof by APIs. Then, a heuristic comprised of job selection within candidate set, movement of job cluster and local search is designed to solve this problem more efficiently. Numerical experiments validate the efficiency of the proposed heuristic in a single-machine environment as well as in a simulated wafer fab abstracted from practice. In comparison with four most referenced due date-related dispatching rules, the simulation study reveals the benefits brought by the two-dimensional dispatching decision with different due date tightness taken into account.</p

Machine Learning Approach Based on a Range-Corrected Deep Potential Model for Efficient Vibrational Frequency Computation

As an ensemble average result, vibrational spectrum simulation can be time-consuming with high accuracy methods. We present a machine learning approach based on the range-corrected deep potential (DPRc) model to improve the computing efficiency. The DPRc method divides the system into “probe region” and “solvent region”; “solvent–solvent” interactions are not counted in the neural network. We applied the approach to two systems: formic acid CO stretching and MeCN CN stretching vibrational frequency shifts in water. All data sets were prepared using the quantum vibration perturbation approach. Effects of different region divisions, one-body correction, cut range, and training data size were tested. The model with a single-molecule “probe region” showed stable accuracy; it ran roughly 10 times faster than regular deep potential and reduced the training time by about four. The approach is efficient, easy to apply, and extendable to calculating various spectra

Machine Learning Approach Based on a Range-Corrected Deep Potential Model for Efficient Vibrational Frequency Computation

As an ensemble average result, vibrational spectrum simulation can be time-consuming with high accuracy methods. We present a machine learning approach based on the range-corrected deep potential (DPRc) model to improve the computing efficiency. The DPRc method divides the system into “probe region” and “solvent region”; “solvent–solvent” interactions are not counted in the neural network. We applied the approach to two systems: formic acid CO stretching and MeCN CN stretching vibrational frequency shifts in water. All data sets were prepared using the quantum vibration perturbation approach. Effects of different region divisions, one-body correction, cut range, and training data size were tested. The model with a single-molecule “probe region” showed stable accuracy; it ran roughly 10 times faster than regular deep potential and reduced the training time by about four. The approach is efficient, easy to apply, and extendable to calculating various spectra

Brain regions showing significant relative increases of BOLD response associated with the different spatial domains (near and far space), and the conjunction contrast between the ‘match’ and ‘natural’ conditions.

Brain regions showing significant relative increases of BOLD response associated with the different spatial domains (near and far space), and the conjunction contrast between the ‘match’ and ‘natural’ conditions.</p

Brain regions that showed higher functional connectivity with the left SOG in Far blocks versus the Near blocks.

<p>Brain regions that showed higher functional connectivity with the left SOG in Far blocks versus the Near blocks.</p

Main effect of spatial domain.

<p>(A) The bilateral SOG and the POJ showed significantly higher neural activity in the near space processing than in the far space processing (i.e., ‘Near > Far’) in the ‘match’ condition. No significant activation was found for the reverse contrast (i.e., ‘Far > Near’). (B) The primary visual cortex, the POJ and SOG showed significantly higher neural activity in the near space processing than in the far space processing (i.e., ‘Near > Far’) in the ‘natural’ condition (red regions). The bilateral inferior occipital gyrus (IOG) were activated for the reverse contrast (i.e., ‘Far > Near’). (C) Conjunction between the ‘Near > Far’ contrast in the ‘match’ and ‘natural’ conditions revealed the POJ and bilateral SOG.</p