The Integrated Platform of Digital Cultural Heritage in China: a Proposed Model Based on Public’s Expectations

This poster attempts to propose an integrated platform of digital cultural heritage in China based on the public’s expectations and provide specific suggestions for policy makers. A questionnaire was designed and disseminated through online survey service website. From 6 October to November 2016, a total of 1,076 responses were collected. The data showed that the Chinese users expected a comprehensive, convenient, and unified one-stop online accessible portal to all types of digital cultural heritage from China. Based on user need analysis, an integrated platform model of digital cultural heritage has been proposed. Also the China’s digital cultural heritage integration management system has been proposed. In this system, the corporation between the Ministry of Culture and the State Archives Administration of China can be realized

Human and Machine Speaker Recognition Based on Short Trivial Events

Trivial events are ubiquitous in human to human conversations, e.g., cough, laugh and sniff. Compared to regular speech, these trivial events are usually short and unclear, thus generally regarded as not speaker discriminative and so are largely ignored by present speaker recognition research. However, these trivial events are highly valuable in some particular circumstances such as forensic examination, as they are less subjected to intentional change, so can be used to discover the genuine speaker from disguised speech. In this paper, we collect a trivial event speech database that involves 75 speakers and 6 types of events, and report preliminary speaker recognition results on this database, by both human listeners and machines. Particularly, the deep feature learning technique recently proposed by our group is utilized to analyze and recognize the trivial events, which leads to acceptable equal error rates (EERs) despite the extremely short durations (0.2-0.5 seconds) of these events. Comparing different types of events, 'hmm' seems more speaker discriminative.Comment: ICASSP 201

A Note on Processability Theory and Developmental Sequences of Second Language Acquisition

Acquisition sequence (or order) is one of the core issues in language acquisition research. The present paper discusses second language research on developmental sequences, focusing on a psycholinguistically based theory-Processability Theory. Based on a number of L1 speech production models and Lexical-Functional Grammar, Processability Theory describes, explains and predicts how a learner's ability to process new linguistic rules develops. From a language processing perspective, L2 acquisition is considered as a cumulative and sequential developmental process that involves the activation of information exchange procedures. The activation of implicationally ordered processing procedures drives L2 grammar learning through a hierarchy of acquisition stages. The stages of acquisition provide specific information on what L2 learners are able and unable to learn at different points in time. This understanding enables us to focus on the learner's level of ability and to optimize L2 pedagogy including teaching approaches, textbook design and language assessment

Effect of Pulsation Width Modulation (PWM) on the Performance of an Evaporator

Pulsating flow can increase the heat transfer coefficient when a two-phase flow passes through a single horizontal tube through the following mechanisms: 1) When liquid-vapor two-phase flow and heat transfer occurs inside a tube, flow pulsations can change the flow pattern and increase liquid-wall contact area at a fixed void fraction, thus increasing the heat transfer coefficient; 2) Local pressure at some locations in the tube will drop more with pulsating flow, and the attendant reduction saturation temperature can increase local evaporation and heat transfer. However, the effects of pulsation are more complex for pulsations within a practical evaporator for which the use of a multi-tube construction and the presence of tube bends at the end of each tube certainly affect the resulting flow. In this case, it is anticipated that pulsation width modulation is very important for evaporator performance enhancement. Moreover, local pressure drop in the evaporator increases due to the pulsating flow, and this needs to be taken into account for practical evaporators when considering pulsation as a method of heat transfer performance enhancement. In this work, the effects of pulsation width on heat transfer coefficient and pressure drop in an air-to-refrigerant evaporator have been studied experimentally. An experimental system has been developed with two separate but identical evaporators located in separate but identical wind tunnels. The pulsation width can be controlled with a minimum period of 1s. Average heat transfer coefficient, local heat transfer coefficient and pressure drop have been measured and compared with and without pulsating flow. Two-phase flow regimes at different locations in the evaporator are also observed with pulsating flow, and a new flow regime characterization is provided. These observations are used to help explain the heat transfer enhancement in pulsating flow

Learnability and Pedagogical Implication: An Acquisition-Based Evaluation of English Textbooks in China

This study conducts an acquisition-based evaluation of four primary-school English textbook series used on a nationwide scale in mainland China. The evaluation aims to determine whether the sequencing of grammatical structures in the four textbook series is compatible with the L2 learning sequence stipulated in Processability Theory (PT) (Pienemann, 1998, 2005). L2 acquisition cannot occur without input, and textbooks serve as the primary form of input for learners, especially in the foreign language context. In China, learners of L2 English have little natural exposure to the target language. Textbooks are the main source of L2 exposure for L2 learners. Therefore, it is essential to write textbooks based on language acquisition principles. Currently, the majority of evaluation studies on textbooks address the potential value of textbooks, the actual effects of textbooks on users, and the authenticity of dialogues or sufficiency of pragmatic information in the textbooks. Only a few studies adopt the SLA theories to evaluate textbooks. My study attempts to examine four sets of English textbooks from a SLA theoretical perspective, focusing on the sequencing of English morphology and key sentence structures. The analysis began by documenting the morphological and structural items that the textbooks introduced as teaching objectives. These items were then categorized according to the PT-based L2 procedures for English. The outcome was compared to the sequence of the corresponding items in the processability hierarchy (Pienemann, 1998, 2005). The results show that there is partial agreement between the sequencing of grammatical structures as teaching objectives in the four textbook series and the PT-based processability hierarchy. In general, the sequencing of grammatical structures in the initial stages is consistent with the learning sequence of L2 English stated in PT. However, several structures in the intermediate or high stages are taught in a deviant way against their sequencing in PT. The deviant grading of the high-stage structures in the textbooks is possibly associated with the theme-based guidelines adopted in the textbooks. It appears that concerns with the utility of grammatical structures in a given context takes precedence over concerns for the natural L2 development. A number of suggestions are offered to textbook writers in terms of the role of input, the learners’ developmental readiness, and the issue of heterogeneity in L2 classrooms

Clinical analysis of chemotherapy-related anemia in non-small cell lung cancer patients

The objective is to analyze the clinical features and factors of non-small cell lung cancer patients with chemotherapy-related anemia to prevent and treat anemia. 78 cases of hospitalized patients with advanced non-small cell lung cancer treated with chemotherapy from January 2008 to October 2014 were recruited as subjects. The anemia information after chemotherapy was analyzed to understand the clinical features and the factors of anemia after chemotherapy. The incidence of anemia after chemotherapy was 82.05%, while the rate moderate and severe anemia was 34.61%. No significant difference was observed from the incidence of anemia after chemotherapy in patients in terms of gender. Among the stage IV patients, patients with bone metastasis has higher incidence of anemia after chemotherapy when compared with patients without bone metastasis (P < 0.05). Non-small cell lung cancer has a higher incidence of anemia after chemotherapy, patients should be given attention on the anemia therapy in addition to other clinical treatment. Patients with bone metastases are more prone to have anemia after chemotherapy thus, early intervention should be taken to reduce the incidence of anemia

Managerial compensation, ownership structure and firm performance in China\u27s listed firms

This paper investigates managerial compensation and its relationship with firm performance in China\u27s listed firms. In China, the largest shareholder dominates other shareholders, controls the firm and therefore exercises substantial impacts on manager compensation. After controlling for other firm and industry characteristics, we find that manager remuneration is greater and pay-performance relation is stronger for privately-controlled firms than for state-controlled firms. We also document that state-controlled firms exercise performance-based manager incentive schemes, which is contrary to evidence found in some earlier studies. Our results also indicate that top executives in firms with a foreign ownership are more highly compensated, relative to those without foreign ownership

A scalable bloom filter based prefilter and hardware-oriented predispatcher

Presented in this paper a scalable bloom filter based prefilter and a hardware-oriented predispatcher pattern matching mechanism for content filtering applications, which are scalable in terms of speed, the number of patterns and the pattern length. Prefilter algorithm is based on a memory efficient multi-hashing data structure called bloom filter. According to the statistics of simulations, the filter ratio can reach up to 60% if the whole engine has been trained well. It has been showed that this engine could enhance the capabilities of general-purpose IDS solutions

Computational design of steady 3D dissection puzzles

Dissection puzzles require assembling a common set of pieces into multiple distinct forms. Existing works focus on creating 2D dissection puzzles that form primitive or naturalistic shapes. Unlike 2D dissection puzzles that could be supported on a tabletop surface, 3D dissection puzzles are preferable to be steady by themselves for each assembly form. In this work, we aim at computationally designing steady 3D dissection puzzles. We address this challenging problem with three key contributions. First, we take two voxelized shapes as inputs and dissect them into a common set of puzzle pieces, during which we allow slightly modifying the input shapes, preferably on their internal volume, to preserve the external appearance. Second, we formulate a formal model of generalized interlocking for connecting pieces into a steady assembly using both their geometric arrangements and friction. Third, we modify the geometry of each dissected puzzle piece based on the formal model such that each assembly form is steady accordingly. We demonstrate the effectiveness of our approach on a wide variety of shapes, compare it with the state-of-the-art on 2D and 3D examples, and fabricate some of our designed puzzles to validate their steadiness

Identification of a basement membrane-related gene signature for predicting prognosis, immune infiltration, and drug sensitivity in colorectal cancer

BackgroundColorectal cancer (CRC) is the most common malignancy affecting the gastrointestinal tract. Extensive research indicates that basement membranes (BMs) may play a crucial role in the initiation and progression of the disease.MethodsData on the RNA expression patterns and clinicopathological information of patients with CRC were sourced from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases. A BM-linked risk signature for the prediction of overall survival (OS) was formulated using univariate Cox regression and combined machine learning techniques. Survival outcomes, functional pathways, the tumor microenvironment (TME), and responses to both immunotherapy and chemotherapy within varying risk classifications were also investigated. The expression trends of the model genes were evaluated by reverse transcription polymerase chain reaction (RT-PCR) and the Human Protein Atlas (HPA) database.ResultsA nine-gene risk signature containing UNC5C, TINAG, TIMP1, SPOCK3, MMP1, AGRN, UNC5A, ADAMTS4, and ITGA7 was constructed for the prediction of outcomes in patients with CRC. The expression profiles of these candidate genes were verified using RT-PCR and the HPA database and were found to be consistent with the findings on differential gene expression in the TCGA dataset. The validity of the signature was confirmed using the GEO cohort. The patients were stratified into different risk groups according to differences in clinicopathological characteristics, TME features, enrichment functions, and drug sensitivities. Lastly, the prognostic nomogram model based on the risk score was found to be effective in identifying high-risk patients and predicting OS.ConclusionA basement membrane-related risk signature was constructed and found to be effective for predicting the prognosis of patients with CRC