An Exploration of the Use of Scaling and Clustering Techniques in ESL Program Evaluation

The English as a Second Language (ESL) Department of the University of Hawai'i at Manoa (Ul-llv1) offers about twenty-five regular courses in its MA in ESL program. The twenty-five courses represent a wide range of interests and reflect, more or less, a general consensus among the ESL faculty members as to the relevance of those topical areas to the ESL profession. However, there has not been much information about how ESL graduate students actually assess those courses in the MA program. Therefore, a survey was proposed in March, 1986. A major purpose of the study was to explore the possibility of using scaling and clustering techniques for ESL program evaluation, particularly in the area of analysing subjective judgments. Because of the limitations resulting from the preliminary character of this exploration, caution is advised if the findings of this study are to be cited as basis for decisions on any MAin ESL curriculum

E2E-LOAD: End-to-End Long-form Online Action Detection

Recently, there has been a growing trend toward feature-based approaches for Online Action Detection (OAD). However, these approaches have limitations due to their fixed backbone design, which ignores the potential capability of a trainable backbone. In this paper, we propose the first end-to-end OAD model, termed E2E-LOAD, designed to address the major challenge of OAD, namely, long-term understanding and efficient online reasoning. Specifically, our proposed approach adopts an initial spatial model that is shared by all frames and maintains a long sequence cache for inference at a low computational cost. We also advocate an asymmetric spatial-temporal model for long-form and short-form modeling effectively. Furthermore, we propose a novel and efficient inference mechanism that accelerates heavy spatial-temporal exploration. Extensive ablation studies and experiments demonstrate the effectiveness and efficiency of our proposed method. Notably, we achieve 17.3 (+12.6) FPS for end-to-end OAD with 72.4%~(+1.2%), 90.3%~(+0.7%), and 48.1%~(+26.0%) mAP on THMOUS14, TVSeries, and HDD, respectively, which is 3x faster than previous approaches. The source code will be made publicly available

Extended Wiener-Khinchin theorem for quantum spectral analysis

The classical Wiener-Khinchin theorem (WKT), which can extract spectral information by classical interferometers through Fourier transform, is a fundamental theorem used in many disciplines. However, there is still need for a quantum version of WKT, which could connect correlated biphoton spectral information by quantum interferometers. Here, we extend the classical WKT to its quantum counterpart, i.e., extended WKT (e-WKT), which is based on two-photon quantum interferometry. According to the e-WKT, the difference-frequency distribution of the biphoton wavefunctions can be extracted by applying a Fourier transform on the time-domain Hong-Ou-Mandel interference (HOMI) patterns, while the sum-frequency distribution can be extracted by applying a Fourier transform on the time-domain NOON state interference (NOONI) patterns. We also experimentally verified the WKT and e-WKT in a Mach-Zehnder interference (MZI), a HOMI and a NOONI. This theorem can be directly applied to quantum spectroscopy, where the spectral correlation information of biphotons can be obtained from time-domain quantum interferences by Fourier transform. This may open a new pathway for the study of light-matter interaction at the single photon level.Comment: 13 pages, 5 figure

A proteome map of primary cultured rat Schwann cells

<p>Abstract</p> <p>Background</p> <p>Schwann cells (SCs) are the principal glial cells of the peripheral nervous system with a wide range of biological functions. SCs play a key role in peripheral nerve regeneration and are involved in several hereditary peripheral neuropathies. The objective of this study was to gain new insight into the whole protein composition of SCs.</p> <p>Results</p> <p>Two-dimensional liquid chromatography coupled with tandem mass spectrometry (2D LC-MS/MS) was performed to identify the protein expressions in primary cultured SCs of rats. We identified a total of 1,232 proteins, which were categorized into 20 functional classes. We also used quantitative real time RT-PCR and Western blot analysis to validate some of proteomics-identified proteins.</p> <p>Conclusion</p> <p>We showed for the first time the proteome map of SCs. Our data could serve as a reference library to provide basic information for understanding SC biology.</p

TDOA positioning in the presence of atmospheric refraction and observer uncertainty influence analysis and correction

Due to the inhomogeneity of the atmosphere, radio waves are subjected to refraction during the propagation process, which reduces its propagation speed and bends the propagation path. If the influence is not considered, a large error will be caused by using time difference of arrival (TDOA). The influence of atmospheric refraction on the TDOA localization under the known elevation constraint is analyzed, a subsection iterative method is proposed to correct the localization error caused by atmospheric refraction, the Cramer-Rao lower bound (CRLB) for location estimation under atmospheric refraction is deduced. The effectiveness of the proposed method is validated through simulation results and analysis

Integrated Sensing and Communications for V2I Networks: Dynamic Predictive Beamforming for Extended Vehicle Targets

We investigate sensing-assisted beamforming for vehicle-to-infrastructure (V2I) communication by exploiting integrated sensing and communications (ISAC) functionalities at the roadside unit (RSU). The RSU deploys a massive multi-input-multi-output (mMIMO) array at mmWave. The pencil-sharp mMIMO beams and fine range-resolution implicate that the point-target assumption is impractical, as the vehicle’s geometry becomes essential. Therefore, the communication receiver (CR) may never lie in the beam, even when the vehicle is accurately tracked. To tackle this problem, we consider the extended target with two novel schemes. For the first scheme, the beamwidth is adjusted in real-time to cover the entire vehicle, followed by an extended Kalman filter to predict and track the position of CR according to resolved scatterers. An upgraded scheme is proposed by splitting each transmission block into two stages. The first stage is exploited for ISAC with a wide beam. Based on the sensed results at the first stage, the second stage is dedicated to communication with a pencil-sharp beam, yielding significant communication improvements. We reveal the inherent tradeoff between the two stages in terms of their durations, and develop an optimal allocation strategy that maximizes the average achievable rate. Finally, simulations verify the superiorities of proposed schemes over state-of-the-art methods

Synergistic Partitioning in Multiple Large Scale Social Networks

Abstract-Social networks have been part of people&apos;s daily life and plenty of users have registered accounts in multiple social networks. Interconnection among multiple social networks adds a multiplier effect to social applications when fully used. With the sharp expansion of network size, traditional standalone algorithms can no longer support computing on large scale networks while alternatively, distributed and parallel computing become a solution to utilizing the data-intensive information hidden in multiple social networks. As such, synergistic partitioning, which takes the relationships among different networks into consideration and focuses on partitioning the same nodes of different networks into same partitions. With that, the partitions containing the same nodes can be assigned to the same server to improve the data locality and reduce communication overhead among servers, which are very important for distributed applications. To date, there have been limited studies on multiple large scale network partitioning due to three major challenges: 1) the need to consider relationships across multiple networks given the existence of intricate interactions, 2) the difficulty for standalone programs to utilize traditional partitioning methods, 3) the fact that to generate balanced partitions is NP-complete. In this paper, we propose a novel framework to partition multiple social networks synergistically. In particular, we apply a distributed multilevel k-way partitioning method to divide the first network into k partitions. Based on the given anchor nodes which exist in all the social networks and the partition results of the first network, using MapReduce, we then develop a modified distributed multilevel partitioning method to divide other networks. Extensive experiments on two real data sets demonstrate that our method can significantly outperform baseline independentpartitioning method in accuracy and scalability

Two new species of the genus Asceua Thorell, 1887 (Araneae, Zodariidae) from China

The spider genus Asceua Thorell, 1887 contains 34 species, almost entirely limited to Indochina, India, Sri Lanka and China, with a regional distribution. Eleven species of Asceua are currently only known from China, five of them are described only from one sex.Two new spider species of the genus Asceua are reported from China, A. haocongi sp. n. (♂♀, Hainan) and A. zijin sp. n. (♂♀, Jiangsu). Photos and a morphological description of the new species are provided

Guilotes, a new genus of Coelotinae spiders from Guangxi Zhuang Autonomous Region, China (Araneae, Agelenidae)

A new genus of the subfamily Coelotinae F.O. Pickard-Cambridge, 1893, Guilotes Z. Zhao &amp;amp; S. Li, gen. n. from China is described, as well as four new species: G. ludiensis Z. Zhao &amp;amp; S. Li, sp. n. (♂♀, type species), G. qingshitanensis Z. Zhao &amp;amp; S. Li, sp. n. (♂♀), G. xingpingensis Z. Zhao &amp;amp; S. Li, sp. n. (♂♀) and G. yandongensis Z. Zhao &amp;amp; S. Li, sp. n. (♀). The DNA barcodes of all species are documented for future use

Forty-two years of scientific research on eight legs-celebrating the 60th birthday of Dr Yuri M. Marusik

The biography of Dr Yuri Mikhailovich Marusik is presented, and his scientific life illuminated on the occasion of his 60th birthday. Yuri is a renowned specialist of spiders. He has described 718 new species, 57 new genera, and two new subfamilies of order Araneae. Twenty-five species and one genus have been dedicated to him. Facts and impressions are given as well as a bibliography of his 545 publications