163 research outputs found
Wiener type regularity for non-linear integro-differential equations
The primary purpose of this paper is to study the Wiener-type regularity
criteria for non-linear equations driven by integro-differential operators,
whose model is the fractional Laplace equation. In doing so, with the help
of tools from potential analysis, such as fractional relative Sobolev
capacities, Wiener type integrals, Wolff potentials, barriers, and
balayages, we first prove the characterizations of the fractional
thinness and the Perron boundary regularity. Then, we establish a Wiener test
and a generalized fractional Wiener criterion. Furthermore, we also prove the
continuity of the fractional superharmonic function, the fractional
resolutivity, a connection between potentials and
Perron solutions, and the existence of a capacitary function for
an arbitrary condenser.Comment: 27 pages, any comments are welcom
A voice activity detection algorithm with sub-band detection based on time-frequency characteristics of mandarin
Voice activity detection algorithms are widely used in the areas of voice compression, speech synthesis, speech recognition, speech enhancement, and etc. In this paper, an efficient voice activity detection algorithm with sub-band detection based on time-frequency characteristics of mandarin is proposed. The proposed sub-band detection consists of two parts: crosswise detection and lengthwise detection. Energy detection and pitch detection are in the range of considerations. For a better performance, double-threshold criterion is used to reduce the misjudgment rate of the detection. Performance evaluation is based on six noise environments with different SNRs. Experiment results indicate that the proposed algorithm can detect the area of voice effectively in non-stationary environment and low SNR environment and has the potential to progress
Unleashing Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration
Human intelligence thrives on the concept of cognitive synergy, where
collaboration and information integration among different cognitive processes
yield superior outcomes compared to individual cognitive processes in
isolation. Although Large Language Models (LLMs) have demonstrated promising
performance as general task-solving agents, they still struggle with tasks that
require intensive domain knowledge and complex reasoning. In this work, we
propose Solo Performance Prompting (SPP), which transforms a single LLM into a
cognitive synergist by engaging in multi-turn self-collaboration with multiple
personas. A cognitive synergist refers to an intelligent agent that
collaborates with multiple minds, combining their individual strengths and
knowledge, to enhance problem-solving and overall performance in complex tasks.
By dynamically identifying and simulating different personas based on task
inputs, SPP unleashes the potential of cognitive synergy in LLMs. We have
discovered that assigning multiple, fine-grained personas in LLMs elicits
better problem-solving abilities compared to using a single or fixed number of
personas. We evaluate SPP on three challenging tasks: Trivia Creative Writing,
Codenames Collaborative, and Logic Grid Puzzle, encompassing both
knowledge-intensive and reasoning-intensive types. Unlike previous works, such
as Chain-of-Thought, that solely enhance the reasoning abilities in LLMs, SPP
effectively elicits internal knowledge acquisition abilities, reduces
hallucination, and maintains strong reasoning capabilities. Code, data, and
prompts can be found at:
https://github.com/MikeWangWZHL/Solo-Performance-Prompting.git.Comment: work in progres
Tackling unemployment in China: state capacity and governance issues
This paper considers China's state capacity and changing governance as revealed through its policies to tackle unemployment. Despite high levels of growth, economic restructuring has resulted in rising unemployment over the last decade. The Chinese state has been able to manage job losses from state enterprises, demonstrating some state capacity in relation to this sector and some persistent command economy governance mechanisms. However both design and implementation of policies to compensate and assist particular groups among the unemployed have been shaped by weak state capacity in several other areas. First, capacity to gather accurate employment data is limited, meaning local and central governments do not have a good understanding of the extent and nature of unemployment. Second, the sustainability of supposedly mandatory unemployment insurance schemes is threatened by poor capacity to enforce participation. Third, poor central state capacity to ensure local governments implement policies effectively leads to poor unemployment insurance fund capacity, resulting in provision for only a narrow segment of the unemployed and low quality employment services. Although the adoption of unemployment insurance (and its extension to employers and employees in the private sector), the introduction of a Labour Contract Law in 2007, and the delivery of employment services by private businesses indicate a shift towards the use of new governance mechanisms based on entitlement, contract and private sector delivery of public-sector goods, that shift is undermined by poor state capacity in relation to some of these new mechanisms
Why growth equals power - and why it shouldn't : constructing visions of China
When discussing the success of China's transition from socialism, there is a tendency to focus on growth figures as an indication of performance. Whilst these figures are
indeed impressive, we should not confuse growth with development and assume that the former necessarily automatically generates the latter. Much has been done to
reduce poverty in China, but the task is not as complete as some observers would suggest; particularly in terms of access to health, education and welfare, and also in
dealing with relative (rather than absolute) depravation and poverty. Visions of China have been constructed that exaggerate Chinese development and power in the global
system partly to serve political interests, but partly due to the failure to consider the relationship between growth and development, partly due to the failure to disaggregate
who gets what in China, and partly due to the persistence of inter-national conceptions of globalised production, trade, and financial flows
GABP transcription factor is required for development of chronic myelogenous leukemia via its control of PRKD2
Hematopoietic stem cells (HSCs) are the source of all blood lineages, and HSCs must balance quiescence, self-renewal, and differentiation to meet lifelong needs for blood cell development. Transformation of HSCs by the breakpoint cluster region-ABL tyrosine kinase (BCR-ABL) oncogene causes chronic myelogenous leukemia (CML). The E-twenty six (ets) transcription factor GA binding protein (GABP) is a tetrameric transcription factor complex that contains GABPalpha and GABPbeta proteins. Deletion in bone marrow of Gabpa, the gene that encodes the DNA-binding component, caused cell cycle arrest in HSCs and profound loss of hematopoietic progenitor cells. Loss of Gabpalpha prevented development of CML, although mice continued to generate BCR-ABL-expressing Gabpalpha-null cells for months that were serially transplantable and contributed to all lineages in secondary recipients. A bioinformatic screen identified the serine-threonine kinase protein kinase D2 (PRKD2) as a potential effector of GABP in HSCs. Prkd2 expression was markedly reduced in Gabpalpha-null HSCs and progenitor cells. Reduced expression of PRKD2 or pharmacologic inhibition decreased cell cycling, and PRKD2 rescued growth of Gabpalpha-null BCR-ABL-expressing cells. Thus, GABP is required for HSC cell cycle entry and CML development through its control of PRKD2. This offers a potential therapeutic target in leukemia
Mildly relativistic motion in the radio-quiet quasar PG 1351+640
Measuring the proper motion of the emission component in radio-quiet quasars (RQQs) could help to distinguish between the origins of the radio emission and to understand whether the jet production mechanism is the same in radio-loud quasars and RQQs. PG 1351+640 is one of the few RQQs suitable for proper motion studies: it has two compact components on milli-arcsec scales, a flat-spectrum core and a steep-spectrum jet; both components are ≳2 mJy at 5 GHz and are well suited for Very Long Baseline Array (VLBA) observations. We compare recent VLBA observations with that made seventeen years ago and find no significant change in the core-jet separation between 2005 and 2015 (a proper motion of 0.003 mas yr-1). However, the core-jet separation increased significantly between 2015 and 2022, inferring a jet proper motion velocity of 0.063 mas yr-1, which corresponds to an apparent transverse velocity of. The result suggests that the jet of the RQQ PG 1351+640 is mildly relativistic and oriented at a relatively small viewing angle
TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs
Artificial Intelligence (AI) has made incredible progress recently. On the
one hand, advanced foundation models like ChatGPT can offer powerful
conversation, in-context learning and code generation abilities on a broad
range of open-domain tasks. They can also generate high-level solution outlines
for domain-specific tasks based on the common sense knowledge they have
acquired. However, they still face difficulties with some specialized tasks
because they lack enough domain-specific data during pre-training or they often
have errors in their neural network computations on those tasks that need
accurate executions. On the other hand, there are also many existing models and
systems (symbolic-based or neural-based) that can do some domain-specific tasks
very well. However, due to the different implementation or working mechanisms,
they are not easily accessible or compatible with foundation models. Therefore,
there is a clear and pressing need for a mechanism that can leverage foundation
models to propose task solution outlines and then automatically match some of
the sub-tasks in the outlines to the off-the-shelf models and systems with
special functionalities to complete them. Inspired by this, we introduce
TaskMatrix.AI as a new AI ecosystem that connects foundation models with
millions of APIs for task completion. Unlike most previous work that aimed to
improve a single AI model, TaskMatrix.AI focuses more on using existing
foundation models (as a brain-like central system) and APIs of other AI models
and systems (as sub-task solvers) to achieve diversified tasks in both digital
and physical domains. As a position paper, we will present our vision of how to
build such an ecosystem, explain each key component, and use study cases to
illustrate both the feasibility of this vision and the main challenges we need
to address next
Interactions between the jet and disk wind in a nearby radio intermediate quasar III Zw 2
Disk winds and jets are ubiquitous in active galactic nuclei (AGN), and how
these two components interact remains an open question. We study the radio
properties of a radio-intermediate quasar III Zw 2. We detect two jet knots J1
and J2 on parsec scales, which move at a mildly apparent superluminal speed of
. Two -ray flares were detected in III Zw 2 in 2009--2010,
corresponding to the primary radio flare in late 2009 and the secondary radio
flare in early 2010. The primary 2009 flare was found to be associated with the
ejection of J2. The secondary 2010 flare occurred at a distance of 0.3
parsec from the central engine, probably resulting from the collision of the
jet with the accretion disk wind. The variability characteristics of III Zw 2
(periodic radio flares, unstable periodicity, multiple quasi-periodic signals
and possible harmonic relations between them) can be explained by the global
instabilities of the accretion disk. These instabilities originating from the
outer part of the warped disk propagate inwards and can lead to modulation of
the accretion rate and consequent jet ejection. At the same time, the wobbling
of the outer disk may also lead to oscillations of the boundary between the
disk wind and the jet tunnel, resulting in changes in the jet-wind collision
site. III Zw 2 is one of the few cases observed with jet-wind interactions, and
the study in this paper is of general interest for gaining insight into the
dynamic processes in the nuclear regions of AGN.Comment: accepted by Ap
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