2,778 research outputs found

    Ethyl 2-(3,3-dibutyl­thio­ureido)-4,5,6,7-tetra­hydro­benzo[b]thio­phene-3-carboxyl­ate

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    In the title compound, C20H32N2O2S2, the cyclo­hexene ring is disordered over two half-boat conformations with occupancy factors of 0.71:0.29. One n-butyl chain is also disordered over two positions with occupancy factors of 0.83:0.17. The mol­ecular conformation is stabilized by an intra­molecular N—H⋯O hydrogen bond

    Is ChatGPT a Good Multi-Party Conversation Solver?

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    Large Language Models (LLMs) have emerged as influential instruments within the realm of natural language processing; nevertheless, their capacity to handle multi-party conversations (MPCs) -- a scenario marked by the presence of multiple interlocutors involved in intricate information exchanges -- remains uncharted. In this paper, we delve into the potential of generative LLMs such as ChatGPT and GPT-4 within the context of MPCs. An empirical analysis is conducted to assess the zero-shot learning capabilities of ChatGPT and GPT-4 by subjecting them to evaluation across three MPC datasets that encompass five representative tasks. The findings reveal that ChatGPT's performance on a number of evaluated MPC tasks leaves much to be desired, whilst GPT-4's results portend a promising future. Additionally, we endeavor to bolster performance through the incorporation of MPC structures, encompassing both speaker and addressee architecture. This study provides an exhaustive evaluation and analysis of applying generative LLMs to MPCs, casting a light upon the conception and creation of increasingly effective and robust MPC agents. Concurrently, this work underscores the challenges implicit in the utilization of LLMs for MPCs, such as deciphering graphical information flows and generating stylistically consistent responses.Comment: Accepted by Findings of EMNLP 202

    Thermal optimization of a 3-D integrated circuit

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    In a 3-D integrated circuit the heat source distribution has a huge effect on the temperature distribution, so an optimal heat source distribution is needed. This paper gives a numerical approach to its thermal optimization, the result can be used for 3-D integrated circuit optimal design

    Thermal management of the through silicon vias in 3-D integrated circuits

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    The through silicon via technology is a promising and preferred way to realize the reliable interconnection for 3-D integrated circuit integration. However, its size and the property of the filled-materials are two factors affecting the thermal behavior of the integrated circuits. In this paper, we design 3-D integrated circuits with different through silicon via models and analyze the effect of different material-filled through silicon vias, aspect ratio and thermal conductivity of the dielectric on the steady-state temperature profiles. The results presented in this paper are expected to aid in the development of thermal design guidelines for through silicon vias in 3-D integrated circuits

    Study on Economic Carrying Capacity of Industries Transfer from the Coastal areas to the Central region in China based on Employment Change Forecast

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    Abstract: Nowadays, industry transfer from the coastal areas to the central region and the west areas has become an essential measure for our national adjusting of industrial layout. Because the central region has a superior location advantage of undertaking east and opening west, it becomes key areas for undertaking industries.Therefore, whether the economic carrying capacity of the central region can adapt to this large-scale industrial transfer will be the key to seize the opportunity. According to the experience of international industrial transfer, large-scale industrial transfer is bound to bring about inevitably rapid increase in employment, so the article tries to use the three industrial employment data of the three central region provinces (Anhui, Jiangxi and Hunan) and the three coastal provinces (Guangdong, Jiangsu, Zhejiang) from 1978 to 2010, and then constructs the ARIMA model to forecast the employment of three industries from 2011 to 2015. Through comparatively analyzing prediction of employment changes of the central and the coastal provinces in the next few years, it will resolve some problems such as the economic carrying capacity of the central region undertaking the coastal industrial transfer, and three conclusions have been pointed out: 1) taking the coastal economic carrying capacity as a benchmark, the economic carrying capacity of the central region has not been saturated; 2)viewing the prediction of employment changes of the coastal and central region, the coastal industrial transfer has not formed in scale trend in the next few years; 3)from the terms of the changes of the future growth of the three industries, the undeveloped secondary industry is the bottleneck factor in restricting the improvement of economic carrying capacity for undertaking the coastal industrial transfer, and the low proportion of the third industry in the coastal areas is the viscosity factor in restricting the transfer of industries to the central region

    DiffuSIA: A Spiral Interaction Architecture for Encoder-Decoder Text Diffusion

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    Diffusion models have emerged as the new state-of-the-art family of deep generative models, and their promising potentials for text generation have recently attracted increasing attention. Existing studies mostly adopt a single encoder architecture with partially noising processes for conditional text generation, but its degree of flexibility for conditional modeling is limited. In fact, the encoder-decoder architecture is naturally more flexible for its detachable encoder and decoder modules, which is extensible to multilingual and multimodal generation tasks for conditions and target texts. However, the encoding process of conditional texts lacks the understanding of target texts. To this end, a spiral interaction architecture for encoder-decoder text diffusion (DiffuSIA) is proposed. Concretely, the conditional information from encoder is designed to be captured by the diffusion decoder, while the target information from decoder is designed to be captured by the conditional encoder. These two types of information flow run through multilayer interaction spirally for deep fusion and understanding. DiffuSIA is evaluated on four text generation tasks, including paraphrase, text simplification, question generation, and open-domain dialogue generation. Experimental results show that DiffuSIA achieves competitive performance among previous methods on all four tasks, demonstrating the effectiveness and generalization ability of the proposed method.Comment: Work in Progres

    3-Isopropyl-2-(4-methoxy­phen­oxy)-1-benzo­furo[3,2-d]pyrimidin-4(3H)-one

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    In the title compound, C20H18N2O4, all non-H atoms of the three fused rings of the benzofuro[3,2-d]pyrimidine system are almost coplanar (r.m.s. deviation 0.021 Å). The dihedral angle between the fused ring system and the benzene ring is 1.47 (12)°. Intra­molecular and inter­molecular C—H⋯O hydrogen bonds together with weak C—H⋯π inter­actions stabilize the structure

    J/ψJ/\psi decays into ω(ϕ)f1(1285)\omega (\phi) f_1(1285) and \omega (\phi) \,''f_1(1420)''

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    We perform a theoretical study of the J/ψω(ϕ)KKˉ+c.c.ω(ϕ)K0π+KJ/\psi \to \omega (\phi) K^* \bar{K} + c.c. \to \omega (\phi) K^0 \pi^+ K^- reactions with the assumption that the f1(1285)f_1(1285) is dynamically generated from a single channel KKˉ+c.cK^* \bar{K} + c.c interaction in the chiral unitary approach. Two peaks in the K0π+KK^0 \pi^+ K^- invariant mass distribution are observed, one clear peak locates at the f1(1285)f_1(1285) nominal mass, the other peak locates at around 1420  MeV1420\; \rm MeV with about 70  MeV70 \;\rm MeV width. We conclude that the former peak is associated with the f1(1285)f_1(1285) and the latter peak is not a genuine resonance but a manifestation of the kinematic effect in the higher energy region caused by the KKˉ+c.c.K^* \bar{K} + c.c. decay mode of the f1(1285)f_1(1285).Comment: 17 pages, 5 figures

    An Analogue Front-End System with a Low-Power On-Chip Filter and ADC for Portable ECG Detection Devices

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    Medical diagnostic instruments can be made into portable devices for the purpose of home care, such as the diagnosis of heart disease. These assisting devices are not only used to monitor patients but are also beneficial as handy and convenient medical instruments. Hence, for reasons of both portability and durability, designers should reduce the power consumption of assistant devices as much as possible to extend their battery lifetime. However, achieving the low power requirement of the ECG sensing and the processing board for the ECG with commercial discrete components (A21-0003) is difficult because the low power consumer electronics for ECG acquisition systems are not yet available. With the help of the integrated circuit technology, the power-saving requirement of portable and durable equipment gives circuit designers the impetus to reduce the power consumption of analogue front-end circuits in ECG acquisition systems. In addition, the analogue front-end circuits, which are the interface between physical signals and the digital processor, must be operated at a low-supply voltage to be integrated into the low-voltage system-on-a-chip (SOC) system (Eshraghian, 2006). Therefore, the chapter will present two design examples of low-voltage (1 V) and low-power (<1 W) on-chip circuits including a low-pass filter (LPF) and an analogue-to-digital converter (ADC) to demonstrate the possibility of developing the low-voltage low-power ECG acquisition SO
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