Study on the Problems of Specialty Adjustment in Local Universities Under China’s New Normal

In China, the specialty adjustment of the local universities is short of dynamic mechanism and scientificity, which, at present, is one of the most ubiquitous problems among the universities. Particularly, as China’s economy enters into the new normal, what Chinese universities shall jointly deal with at the moment is how to adjust specialty scientifically and effectively according to the current economic changes and exposed problems. Against the background of China’s new normal, combined with the present economic situations and market demands, the local universities shall start from their own problems and find out ways of adjusting specialties scientifically and then put forward some countermeasures and suggestions to promote a higher and more sustainable development

Teaching Children with Autism to Understand Metaphors

The purpose of this study was to evaluate the effects of an instructional procedure on the acquisition and generalization of metaphorical understanding for children with autism spectrum disorder. Three students (two boys, one girl, 5-8 years old) participated but only two completed the study. A multiple-probe design across two behaviors and three participants was used. The metaphors were categorized by topography: metaphors involving physical features and metaphors involving abstract properties. The instruction consisted of intraverbal training using echoic prompts, picture prompts, and textual prompts. The results indicated that the instruction was effective in establishing metaphorical understanding of target metaphors. Generalized understanding to untaught metaphors occurred for the two students who completed the study, and all metaphors were maintained at a relatively high level for two months following the instruction

Large Language Models for Telecom: The Next Big Thing?

The evolution of generative artificial intelligence (GenAI) constitutes a turning point in reshaping the future of technology in different aspects. Wireless networks in particular, with the blooming of self-evolving networks, represent a rich field for exploiting GenAI and reaping several benefits that can fundamentally change the way how wireless networks are designed and operated nowadays. To be specific, large language models (LLMs), a subfield of GenAI, are envisioned to open up a new era of autonomous wireless networks, in which a multimodal large model trained over various Telecom data, can be fine-tuned to perform several downstream tasks, eliminating the need for dedicated AI models for each task and paving the way for the realization of artificial general intelligence (AGI)-empowered wireless networks. In this article, we aim to unfold the opportunities that can be reaped from integrating LLMs into the Telecom domain. In particular, we aim to put a forward-looking vision on a new realm of possibilities and applications of LLMs in future wireless networks, defining directions for designing, training, testing, and deploying Telecom LLMs, and reveal insights on the associated theoretical and practical challenges

Thermal stability and oxidation of layer-structured rhombohedral In3Se4 nanostructures

The thermal stability and oxidation of layer-structured rhombohedral In3Se4 nanostructures have been investigated. In-situ synchrotron X-ray diffraction in a sealed system reveals that In3Se4 has good thermal stability up to 900 degrees C. In contrast, In3Se4 has lower thermal stability up to 550 or 200 degrees C when heated in an atmosphere flushed with Ar or in air, respectively. The degradation mechanism was determined to be the oxidation of In3Se4 by O-2 in the heating environment. This research demonstrates how thermal processing conditions can influence the thermal stability of In3Se4, suggesting that appropriate heating environment for preserving its structural integrity is required. (C) 2013 AIP Publishing LLC

Black holes in Einstein-dilaton-Massive gravity

In this paper, we focus on the Einstein-dilaton-Massive (EdM) gravity including the coupling of dilaton scalar field to massive graviton terms, and then derive static and spherically symmetric solutions of dilatonic black holes in four dimensional spacetime. We discover that the dilatonic black hole could possess two horizons (event and cosmological), extreme (Nariai) and naked singularity black holes for the suitably fixed parameters. Moreover, the dilatonic black hole solutions are neither asymptotic flat nor (A)dS in the appearance of coupling of the dilaton field. In addition, we investigate thermodynamic properties of these dilatonic black holes, and check the corresponding first law of black hole thermodynamics. Extending to the EdM gravity in high dimensions, we further obtain the dilatonic black hole solutions in ($d+1$) dimensional spacetime.Comment: 17 pages, 6 figure

A new crystal: Layer-structured rhombohedral In3Se4

A new layer-structured rhombohedral In3Se4 crystal was synthesized by a facile and mild solvothermal method. Detailed structural and chemical characterizations using transmission electron microscopy, coupled with synchrotron X-ray diffraction analysis and Rietveld refinement, indicate that In3Se4 crystallizes in a layered rhombohedral structure with lattice parameters of a = 3.964 ± 0.002 Å and c = 39.59 ± 0.02 Å, a space group of R3m, and with a layer composition of Se-In-Se-In-Se-In-Se. The theoretical modeling and experimental measurements indicate that the In3Se4 is a self-doped n-type semiconductor. This study not only enriches the understanding on crystallography of indium selenide crystals, but also paves a way in the search for new semiconducting compounds. This journal i

Genome-wide identification and expression analysis of the regulator of chromosome condensation 1 gene family in wheat (Triticum aestivum L.)

Wheat (Triticum aestivum L., 2n = 6x = 42, AABBDD) is the world’s most widely cultivated crop and an important staple food for humans, accounting for one-fifth of calories consumed. Proteins encoded by the regulator of chromosome condensation 1 (RCC1) are highly conserved among eukaryotes and consist of seven repeated domains that fold into a seven-bladed propeller structure. In this study, a total of 76 RCC1 genes of bread wheat were identified via a genome-wide search, and their phylogenetic relationship, gene structure, protein-conserved domain, chromosome localization, conserved motif, and transcription factor binding sites were systematically analyzed using the bioinformatics approach to indicate the evolutionary and functional features of these genes. The expression patterns of 76 TaRCC1 family genes in wheat under various stresses were further analyzed, and RT-PCR verified that RCC1-3A (TraesCS3A02G362800), RCC1-3B (TraesCS3B02G395200), and RCC1-3D (TraesCS3D02G35650) were significantly induced by salt, cold, and drought stresses. Additionally, the co-expression network analysis and binding site prediction suggested that Myb-7B (TraesCS7B02G188000) and Myb-7D (TraesCS7D02G295400) may bind to the promoter of RCC1-3A/3B and upregulate their expression in response to abiotic stresses in wheat. The results have furthered our understanding of the wheat RCC1 family members and will provide important information for subsequent studies and the use of RCC1 genes in wheat